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Firstly, this looks brilliant. If anyone can remove the extra layers of cygwin, mingw, xming etc. and provide a direct ability to execute linux programs from po

Firstly, this looks brilliant. If anyone can remove the extra layers of cygwin, mingw, xming etc. and provide a direct ability to execute linux programs from powershell/cmd , I call Black Magic. Voodoo I tell you; Windows cannot be this user friendly (I work with it every day). Secondly, completely off topic, I noticed that Github picks up 0.4% of the code-base as Objective-C (https://github.com/wishstudio/flinux/search?l=objective-c https://github.com/wishstudio/flinux/search?l=objective-c) due to the files functionally consisting of a single line, `#pragma once`. Is this statement more common in Objective-C than C or C++ ? Just wondering if Github detects the language based partly on some statistical analysis of other existing code, or if it has "set rules".

matthewmacleod 12y ago
Github's language detection is actually open-source — you can have a look at what it does here: https://github.com/github/linguist https://github.com/github/linguist Linguist uses a number of different 'strategies' to identify the language – in the case of C vs. Objective C, it uses a pretty simple heuristic (https://github.com/github/linguist/blob/master/lib/linguist/heuristics.rb#L83-L90 https://github.com/github/linguist/blob/master/lib/linguist/...) to disambiguate C/C++/ObjC where required (such as in header files, which can't be disambiguated by file extension.) In this case, the content of the file can't be reliably disambiguated, so I imagine it'll probably fall back to the Bayesian classifier. Interesting that the classifier identifies it as Objective C though!
- Intermernet 12y ago
  Thanks for the link! Time to do some reading.
- pbhjpbhj 12y ago
  I'm not a programmer so bear with me. They have a cadre of samples in the project, searching on "#pragma once" shows no examples of Objective-C (that I can see) using that line but does show C/C++ examples with it. Is that the input to the classifier? The heuristic you linked appears to default to identifying as C; that regex doesn't look like it has anything to make the else-if return the sample as Obj-C. I'd have expected the fact that most other files on the project were C to be the dominant factor that - without any other positive result in the classifier - would weight the files as being C. Presumably this data isn't used in classifier though? Interesting.

matthewmacleod 12y ago

Github's language detection is actually open-source — you can have a look at what it does here: https://github.com/github/linguist https://github.com/github/linguist Linguist uses a number of different 'strategies' to identify the language – in the case of C vs. Objective C, it uses a pretty simple heuristic (https://github.com/github/linguist/blob/master/lib/linguist/heuristics.rb#L83-L90 https://github.com/github/linguist/blob/master/lib/linguist/...) to disambiguate C/C++/ObjC where required (such as in header files, which can't be disambiguated by file extension.) In this case, the content of the file can't be reliably disambiguated, so I imagine it'll probably fall back to the Bayesian classifier. Interesting that the classifier identifies it as Objective C though!

Intermernet 12y ago
Thanks for the link! Time to do some reading.
pbhjpbhj 12y ago
I'm not a programmer so bear with me. They have a cadre of samples in the project, searching on "#pragma once" shows no examples of Objective-C (that I can see) using that line but does show C/C++ examples with it. Is that the input to the classifier? The heuristic you linked appears to default to identifying as C; that regex doesn't look like it has anything to make the else-if return the sample as Obj-C. I'd have expected the fact that most other files on the project were C to be the dominant factor that - without any other positive result in the classifier - would weight the files as being C. Presumably this data isn't used in classifier though? Interesting.