It's All Just CSS

Touch CSS once and your entire website transforms into a blurry Pikachu with its face melting off. The classic "I'll just change this one padding value" followed by your layout collapsing like a house of cards built by a caffeinated toddler. Frontend developers know that CSS stands for "Constantly Screaming Silently" when that one tiny tweak somehow breaks everything across 17 different screen sizes.

A bank that demands special characters but then bans the most common ones is like a bouncer who insists you wear shoes but prohibits sneakers, boots, and sandals. The irony here is magnificent - they're essentially saying "please make your password secure by using things we've decided are too secure." Next they'll probably ban numbers because they look too much like code. Banking security at its finest, folks.

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Content Quora Q Search Quora I like girl A. We are very good friends. A's best friend B likes me. Also, A likes a guy C who is my best bro and C likes another girl D who is in a relationship with another guy. What should we do? O, Answer 6 Follow 145 Request O 7 All related (100 V Sort Recommended V Follow Studied at Indian Institute of Technology, Delhi Updated 8y Originally Answered: I like girl A. We are very good friends, but her best friend B likes me. Also, A likes guy C, who is my best bro. C likes another girl D, who is in a relationship with another guy. What should we do? You can apply Bipartite Matching algorithm of Graph Theory. All you have to do is: 1. Put all girls as vertices (a's) in Part A, and boys as vertices (b's) in Part B. 2. Draw an edge between vertex a to vertex b if a likes b. 3. It will be a bipartite graph (there are no edges within vertices of Part A, and same for Part B) unless your friends are not straight. 4. Then find maximum matching for this bipartite graph. (refer this link Maximum Bipartite Matching - GeeksforGeeks ) 5. You will get maximum matching as output and the matched edges will be the pairs who should be together. 6. You can apply weighted bipartite matching algorithm if you know how much they lovelike each other. In that case, assign weights according to their amount of love. and repeat step 4 and 5. Thanks for asking this question. Finally I have found a real life problem which can be solved by what Prof Panda has been teaching us for 2-3 years. P.S. I can provide you code for both weighted and unweighted maximum bipartite matching which I made for my project.