PNG  IHDR pHYs   OiCCPPhotoshop ICC profilexڝSgTS=BKKoR RB&*! J!QEEȠQ, !{kּ> H3Q5 B.@ $pd!s#~<<+"x M0B\t8K@zB@F&S`cbP-`'{[! eDh;VEX0fK9-0IWfH  0Q){`##xFW<+*x<$9E[-qWW.(I+6aa@.y24x6_-"bbϫp@t~,/;m%h^ uf@Wp~<5j>{-]cK'Xto(hw?G%fIq^D$.Tʳ?D*A, `6B$BB dr`)B(Ͱ*`/@4Qhp.U=pa( Aa!ڈbX#!H$ ɈQ"K5H1RT UH=r9\F;2G1Q= C7F dt1r=6Ыhڏ>C03l0.B8, c˱" VcϱwE 6wB aAHXLXNH $4 7 Q'"K&b21XH,#/{C7$C2'ITFnR#,4H#dk9, +ȅ3![ b@qS(RjJ4e2AURݨT5ZBRQ4u9̓IKhhitݕNWGw Ljg(gwLӋT071oUX**| J&*/Tު UUT^S}FU3S ԖUPSSg;goT?~YYLOCQ_ cx,!k u5&|v*=9C3J3WRf?qtN (~))4L1e\kXHQG6EYAJ'\'GgSSݧ M=:.kDwn^Loy}/TmG X $ <5qo</QC]@Caaᄑ.ȽJtq]zۯ6iܟ4)Y3sCQ? 0k߬~OCOg#/c/Wװwa>>r><72Y_7ȷOo_C#dz%gA[z|!?:eAAA!h쐭!ΑiP~aa~ 'W?pX15wCsDDDޛg1O9-J5*>.j<74?.fYXXIlK9.*6nl {/]py.,:@LN8A*%w% yg"/6шC\*NH*Mz쑼5y$3,幄'L Lݛ:v m2=:1qB!Mggfvˬen/kY- BTZ(*geWf͉9+̳ې7ᒶKW-X潬j9(xoʿܔĹdff-[n ڴ VE/(ۻCɾUUMfeI?m]Nmq#׹=TR+Gw- 6 U#pDy  :v{vg/jBFS[b[O>zG499?rCd&ˮ/~јѡ򗓿m|x31^VwwO| (hSЧc3- cHRMz%u0`:o_F@8N ' p @8N@8}' p '#@8N@8N pQ9p!i~}|6-ӪG` VP.@*j>[ K^<֐Z]@8N'KQ<Q(`s" 'hgpKB`R@Dqj '  'P$a ( `D$Na L?u80e J,K˷NI'0eݷ(NI'؀ 2ipIIKp`:O'`ʤxB8Ѥx Ѥx $ $P6 :vRNb 'p,>NB 'P]-->P T+*^h& p '‰a ‰ (ĵt#u33;Nt̵'ޯ; [3W ~]0KH1q@8]O2]3*̧7# *p>us p _6]/}-4|t'|Smx= DoʾM×M_8!)6lq':l7!|4} '\ne t!=hnLn (~Dn\+‰_4k)0e@OhZ`F `.m1} 'vp{F`ON7Srx 'D˸nV`><;yMx!IS钦OM)Ե٥x 'DSD6bS8!" ODz#R >S8!7ّxEh0m$MIPHi$IvS8IN$I p$O8I,sk&I)$IN$Hi$I^Ah.p$MIN$IR8I·N "IF9Ah0m$MIN$IR8IN$I 3jIU;kO$ɳN$+ q.x* tEXtComment

Viewing File: /home/u342410624/domains/srareauctionmarket.com/public_html/node_modules/reusify/README.md

# reusify

[![npm version][npm-badge]][npm-url]
[![Build Status][travis-badge]][travis-url]
[![Coverage Status][coveralls-badge]][coveralls-url]

Reuse your objects and functions for maximum speed. This technique will
make any function run ~10% faster. You call your functions a
lot, and it adds up quickly in hot code paths.

```
$ node benchmarks/createNoCodeFunction.js
Total time 53133
Total iterations 100000000
Iteration/s 1882069.5236482036

$ node benchmarks/reuseNoCodeFunction.js
Total time 50617
Total iterations 100000000
Iteration/s 1975620.838848608
```

The above benchmark uses fibonacci to simulate a real high-cpu load.
The actual numbers might differ for your use case, but the difference
should not.

The benchmark was taken using Node v6.10.0.

This library was extracted from
[fastparallel](http://npm.im/fastparallel).

## Example

```js
var reusify = require('reusify')
var fib = require('reusify/benchmarks/fib')
var instance = reusify(MyObject)

// get an object from the cache,
// or creates a new one when cache is empty
var obj = instance.get()

// set the state
obj.num = 100
obj.func()

// reset the state.
// if the state contains any external object
// do not use delete operator (it is slow)
// prefer set them to null
obj.num = 0

// store an object in the cache
instance.release(obj)

function MyObject () {
  // you need to define this property
  // so V8 can compile MyObject into an
  // hidden class
  this.next = null
  this.num = 0

  var that = this

  // this function is never reallocated,
  // so it can be optimized by V8
  this.func = function () {
    if (null) {
      // do nothing
    } else {
      // calculates fibonacci
      fib(that.num)
    }
  }
}
```

The above example was intended for synchronous code, let's see async:
```js
var reusify = require('reusify')
var instance = reusify(MyObject)

for (var i = 0; i < 100; i++) {
  getData(i, console.log)
}

function getData (value, cb) {
  var obj = instance.get()

  obj.value = value
  obj.cb = cb
  obj.run()
}

function MyObject () {
  this.next = null
  this.value = null

  var that = this

  this.run = function () {
    asyncOperation(that.value, that.handle)
  }

  this.handle = function (err, result) {
    that.cb(err, result)
    that.value = null
    that.cb = null
    instance.release(that)
  }
}
```

Also note how in the above examples, the code, that consumes an istance of `MyObject`,
reset the state to initial condition, just before storing it in the cache.
That's needed so that every subsequent request for an instance from the cache,
could get a clean instance.

## Why

It is faster because V8 doesn't have to collect all the functions you
create. On a short-lived benchmark, it is as fast as creating the
nested function, but on a longer time frame it creates less
pressure on the garbage collector.

## Other examples
If you want to see some complex example, checkout [middie](https://github.com/fastify/middie) and [steed](https://github.com/mcollina/steed).

## Acknowledgements

Thanks to [Trevor Norris](https://github.com/trevnorris) for
getting me down the rabbit hole of performance, and thanks to [Mathias
Buss](http://github.com/mafintosh) for suggesting me to share this
trick.

## License

MIT

[npm-badge]: https://badge.fury.io/js/reusify.svg
[npm-url]: https://badge.fury.io/js/reusify
[travis-badge]: https://api.travis-ci.org/mcollina/reusify.svg
[travis-url]: https://travis-ci.org/mcollina/reusify
[coveralls-badge]: https://coveralls.io/repos/mcollina/reusify/badge.svg?branch=master&service=github
[coveralls-url]:  https://coveralls.io/github/mcollina/reusify?branch=master
Back to Directory=ceiIENDB`