<|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 2019-04-19 19:46:02, WalgreensJobs from company walgreens tweeted. The tweet was "Our specialty pharmacy at #16313 recently supported local cystic fibrosis efforts through a community outreach event! Giving back to our communities is important to our culture! Learn more at <hyperlink> #community #giveback #cf #pharmacy <hyperlink>". The most similar tweets were, 
1. On 2018-07-04 14:03:51, TheCurrentCBC handle of company cbc tweeted. The tweet was ".<mention> has cystic fibrosis and wants to talk about it. He and his two closest friends, <mention> and <mention>, all host <mention> changing how people view illness from #Cancer to #depression to epilepsy.

<hyperlink> <hyperlink>". This tweet got 43 number of likes. 
2. On 2020-08-29 20:15:54, CiscoPartners handle of company cisco tweeted. The tweet was "Jersey Community Hospital ⚕️was able to improve patients' experiences using #tech. Discover how #Partner <mention> found a reliable #network solution to be the perfect prescription: <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
3. On 2019-08-14 12:00:01, Shoprite_SA handle of company shoprite tweeted. The tweet was "Did you know that MediRite Pharmacies in #Shoprite stores offer #wellness screenings? Speak to our friendly pharmacists for more information and most importantly, know your numbers! <hyperlink>". This tweet got 2 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
