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How do I check if string contains substring? [duplicate]

I have a shopping cart that displays product options in a dropdown menu and if they select "yes", I want to make some other fields on the page visible. ...
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Rebasing remote branches in Git

... repository to mirror a remote SVN repository, from which people can clone and work on. The intermediate repository has it's master branch rebased nightly from the upstream SVN, and we are working on feature branches. For example: ...
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Acronyms in CamelCase [closed]

...se you have this acronym: Unesco = United Nations Educational, Scientific and Cultural Organization. 11 Answers ...
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What's the “Content-Length” field in HTTP header?

... Combine this answer with the answer from Tom Cabanski and you have all the information you need. In case of text you can count the number of characters since ASCII is 8 bit. – hcpl Sep 24 '12 at 8:45 ...
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Android Studio: how to remove/update the “Created by” comment added to all new classes?

By default Android Studio automatically adds a header comment to all new classes, e.g. 9 Answers ...
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How do I delete unpushed git commits?

... And make sure HEAD~1 is the commit... You could also do git reset --hard origin – Daenyth Jul 7 '10 at 17:53 ...
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T-SQL datetime rounded to nearest minute and nearest hours with using functions

...L server 2008, I would like to get datetime column rounded to nearest hour and nearest minute preferably with existing functions in 2008. ...
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How do I do an OR filter in a Django query?

... answered Apr 11 '09 at 11:43 Andy BakerAndy Baker 19k1111 gold badges4848 silver badges7171 bronze badges ...
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What does 'const static' mean in C and C++?

I saw this in some code here on StackOverflow and I couldn't figure out what it does. Then I saw some confused answers on other forums. My best guess is that it's used in C to hide the constant foo from other modules. Is this correct? If so, why would anyone use it in a C++ context where you can j...
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How to compute the similarity between two text documents?

...common way of doing this is to transform the documents into TF-IDF vectors and then compute the cosine similarity between them. Any textbook on information retrieval (IR) covers this. See esp. Introduction to Information Retrieval, which is free and available online. Computing Pairwise Similarities...