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cachebar - A simple API caching layer built on top of HTTParty and Redis

CacheBar is a simple API caching layer built on top of Redis and HTTParty.When a good request is made to the API through an HTTParty module or class configured to be cached, it caches the response body in Redis. The cache is set to expire in the configured length of time. All following identical requests use the cache in Redis. When the cache expires it will attempt to refill the cache with a new good response. If though the response that comes back is bad (there was timeout, a 404, or some other problem), then CacheBar will fetch a backup response we also store in Redis (in a separate non-expiring hash). When it pulls this backup response out it inserts it into the standard cache and sets it to expire in 5 minutes. This way we won't look for a new good response for another 5 minutes.


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FunkySlide - A LibGDX puzzle game. The code for Android and Desktop versions.

FunkySlide is a simple puzzle game, where you have a 4x4 board with 15 elements (Christmas presents). There are 3 types of presents: 1. Good presents, which you through to the Santa's sack (beneath the board) 2. Bad presents. You have get rid of them. 3. Bombs, which help you to get rid of bad presents.Also you've got snow piles which you can't move but can destroy with bombs. The rules are simple: save all good presents from bombs and put them to the sack. With every destroyed good present you

unsafe-swift - C experiments in Swift

Swift is a great language because it lets you write safe code with concepts like optional, immutability, automatic memory management using ARC and more. But there is also another side to Swift which is less known. That is you can use it to write unsafe code. In Swift we have access to all C library and functions. Using these you can allocate raw memory using `malloc`, or release it using `free` and manipulate the memory and perform pointer arithmetic. These libraries are available in Swift to of


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maptools - CRAN Task View for mapping tools

This task view contains information about mapping and visualizing spatial data in R. The base version of R does not ship with many tools for mapping spatial data. Thankfully, there are an increasingly large number of tools for doing so, both with just R or javascript libraries. A list of available packages and functions is presented below, grouped by the type of activity. If you have any comments or suggestions for additions or improvements for this taskview, go to Github and submit an issue, or make some changes and submit a pull request. If you can't contribute on Github, send Jeff an email. If you have an issue with one of the packages discussed below, please contact the maintainer of that package. This task view is focused on mapping spatial data and less so on the foundations of working with spatial data in R. That material is covered in detail in the Spatial Task View. There is some overlap between the two task views, but an effort has been made to reduce redundancy so that these task views compliment one another.Coordinates for spatial data can come in many different flavors with different units, datum, projections, and more. Many of the tools will visualize your data regardless of the native coordinate reference system; however, most (all?) of the javascript libraries assume some flavor of latitude-longitude, thus if your data are projected they need to be transformed back to geographic coordinates prior to mapping. For most mapping and visualization efforts unprojected data (often displayed in Web Mercator/EPSG::3857) is fine; however, if accurate area, length, or distance measurements are required through interacting with the map, then projections need to be considered. A discussion of projections and coordinate systems is beyond the scope of this task view. To learn more a good starting place is NCEAS' Overview of Coordinate Reference Systems in R. This more general discussion of projection from the USGS is also good.

latex-templates - Community-driven minimalist LaTeX templates presented with Python/Jinja2.

[btford/write-good][write-good] is a native linter for English proseand works well on LaTeX documents.If `write-good` is installed, the Makefile's in this project will outputa list of warnings and tips for improving writing afterbuilding the LaTeX documents.


Facebook is good. Pylons is good. Wanna use the Facebook API in a Pylons project? Good luck.


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LaTeX to RTF converter

LaTeX to RTF convertor that handles equations, figures, and cross-refe


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