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The brass buckles on Underscore's utility belt - a contributors' library for Etnies Men’s Marana Vulc Skateboarding Shoes Black/Gum/Grey DM US Green/White/Gum utqCd
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While Underscore provides a bevy of useful tools to support functional programming in JavaScript, it can't (and shouldn't) be everything to everyone. Underscore-contrib is intended as a home for functions that, for various reasons, don't belong in Underscore proper. In particular, it aims to be:

First, you'll need Underscore version 1.6.0 or higher . Then you can grab the relevant underscore-contrib sub-libraries and simply add something like the following to your pages:

version 1.6.0 or higher

At the moment there are no cross-contrib dependencies (i.e. each sub-library can stand by itself), but that may change in the future.

Using contrib in Node is very simple. Just install it with npm:

Then require it within your project like so:

The _ variable will be a copy of Underscore with contrib's methods already mixed in.

_.contrib is open sourced under the Kickers Womens Kick Hi Core Ankle Boots Red Red/Lt Cream wfllRSvqsc
.

The _.contrib library currently contains a number of related capabilities, aggregated into the following files.

The links above are to the annotated source code. Full-blown _.contrib documentation is in the works. Contributors welcomed.

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Signature: _.cat(... arrays:Array ...)

The _.cat function provides a way to concatenate zero or more heterogeneous arrays into one.

Not every argument to _.cat needs to be an array; other types are accepted.

Signature: _.cat(... elems:Any ...)

The _.cat function will also work with the arguments object as if it were an array.

Signature: _.cat(... elems:Arguments ...)

The _.chunk function, by default, accepts an array and a number and splits and returns a new array representing the original array split into some number of arrays of the given size:

If the original array cannot completely fulfill the chunk scheme then the array returned will drop the undersized final chunk:

You can pass an optional third argument to _.chunk to pad out the final array chunk should it fall short. If the value given as the third argument is not an array then it is repeated the needed number of times:

If you given an array as the optional third argument then that array is used to pad in-place as needed:

The _.chunkAll function is similar to _.chunk except for the following. First, _.chunkAll will never drop short chunks from the end:

Also, _.chunkAll takes an optional third argument signifying that paritions should be built from skipped regions:

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