<|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 2019-06-14 07:33:58, bbcweather from company bbc tweeted. The tweet was "7 days
Up to 3 months' worth of rain
Widespread flooding and disruption

The tale of a very wet week revealed in just 15 seconds ...

Matt <hyperlink>". The most similar tweets were, 
1. On 2019-07-11 15:38:18, My_Metro handle of company metro tweeted. The tweet was "Humidity and rain today, but not quite as bad as Thunder Thursday in June 2012, where the region was deluged with a month's rain in 1 hour #TBT #ThrowbackThursday <hyperlink>". This tweet got 64 number of likes. 
2. On 2018-08-25 16:35:56, cbcnewsbc handle of company cbc tweeted. The tweet was "British Columbians who see even a tiny bit of rain right now <hyperlink>". This tweet got 939 number of likes. 
3. On 2020-04-25 01:53:18, MichaelEmerson handle of company emerson tweeted. The tweet was "After 2 days of cold rain the sun comes out <hyperlink>". This tweet got 413 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
