Those files are either external libraries or builds of the repository itself. In any case they are generated automatically and shouldn't count in the language statistics. This also simplifies some of the rules that had to exclude both minified and normal dependencies.
* origin/master: (42 commits)
its always greener
that new green shell
Removing stale extension
Update README.md
Add moon interpreter for MoonScript
Bumping version for 3.4.1 release
Use text.html.erb scope for HTML+ERB files
Add sample .dyalog file for file type APL
Added extra Papyrus sample files.
Add sample Papyrus script
Add Papyrus support
Add LOLCODE support
Add ProGuard config files to vendored files
Recognise *.dyalog as APL sources
Assign a bunch more TextMate scopes
CI step for samples
Add .command as a Shell file extension
CI config
Vendored gems
Update cibuild
...
Conflicts:
Rakefile
* origin/master: (51 commits)
its always greener
that new green shell
Removing stale extension
Update README.md
Add moon interpreter for MoonScript
Bumping version for 3.4.1 release
Use text.html.erb scope for HTML+ERB files
Add sample .dyalog file for file type APL
Added extra Papyrus sample files.
Add sample Papyrus script
Add Papyrus support
Add LOLCODE support
Add ProGuard config files to vendored files
Recognise *.dyalog as APL sources
Assign a bunch more TextMate scopes
CI step for samples
Add .command as a Shell file extension
CI config
Vendored gems
Update cibuild
...
Conflicts:
Gemfile
This grammar does a better job highlighting than the text.html.ruby grammar does. It requires injection grammar support, but there's no getting around that.
Based on top of PR#1447. Adds a simple heuristic check for Hack files vs PHP files (`<?hh` vs other `<?`).
Tested by verifying that the Hack example site was detected as 100% Hack and that Laravel was detected as 100% PHP. (Without the heuristic, Laravel gets detected as about 50% Hack, just by randomness in the classifier since PHP and Hack are very hard to distinguish unless you actually parse the file and look for specific language features.)
