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Get underlying NSData from UIImage
I can create UIImage from NSData using [UIImage imageWithData:] or [UIImage initWithData:] methods.
6 Answers
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Archive the artifacts in Jenkins
Could someone please explain to me the idea of artifacts in the build process?
4 Answers
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nodejs require inside TypeScript file
...o I load a regular NodeJS module (from node_modules ) from within a TypeScript class?
4 Answers
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dplyr summarise: Equivalent of “.drop=FALSE” to keep groups with zero length in output
When using summarise with plyr 's ddply function, empty categories are dropped by default. You can change this behavior by adding .drop = FALSE . However, this doesn't work when using summarise with dplyr . Is there another way to keep empty categories in the result?
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What is the effect of encoding an image in base64?
If I convert an image (jpg or png) to base64, then will it be bigger, or will it have the same size? How much greater will it be?
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Catching error codes in a shell pipe
I currently have a script that does something like
4 Answers
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How to get commit history for just one branch?
Let's say I created a new branch my_experiment from master and made several commits to my_experiment . If I do a git log when on my_experiment , I see the commits made to this branch, but also the commits made to master before the my_experiments branch was created.
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How do I mock the HttpContext in ASP.NET MVC using Moq?
my base controller has an overrride of the Initialize that get's this requestContext. I am trying to pass this along but I am not doing something right.
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What is the difference between fastcgi and fpm?
I am trying to install php with fpm on macports. I read somewhere that fpm means FastCGI process manager. Does that mean fastcgi and fpm are same? If they are same, then why do we have two different macports variants for php namely
"php5 +fastcgi" and
"php5 +fpm"
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How to count the number of true elements in a NumPy bool array
I have a NumPy array 'boolarr' of boolean type. I want to count the number of elements whose values are True . Is there a NumPy or Python routine dedicated for this task? Or, do I need to iterate over the elements in my script?
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