staLUN: EMC LUN statistics

/* Flot plugin for plotting images.

Copyright (c) 2007-2013 IOLA and Ole Laursen.

Licensed under the MIT license.

The data syntax is [ [ image, x1, y1, x2, y2 ], ... ] where (x1, y1) and

(x2, y2) are where you intend the two opposite corners of the image to end up

in the plot. Image must be a fully loaded Javascript image (you can make one

with new Image()). If the image is not complete, it's skipped when plotting.

There are two helpers included for retrieving images. The easiest work the way

that you put in URLs instead of images in the data, like this:

        [ "myimage.png", 0, 0, 10, 10 ]

Then call $.plot.image.loadData( data, options, callback ) where data and

options are the same as you pass in to $.plot. This loads the images, replaces

the URLs in the data with the corresponding images and calls "callback" when

all images are loaded (or failed loading). In the callback, you can then call

$.plot with the data set. See the included example.

A more low-level helper, $.plot.image.load(urls, callback) is also included.

Given a list of URLs, it calls callback with an object mapping from URL to

Image object when all images are loaded or have failed loading.

The plugin supports these options:

        series: {

                images: {

                        show: boolean

                        anchor: "corner" or "center"

                        alpha: [ 0, 1 ]

                }

        }

They can be specified for a specific series:

        $.plot( $("#placeholder"), [{

                data: [ ... ],

                images: { ... }

        ])

Note that because the data format is different from usual data points, you

can't use images with anything else in a specific data series.

Setting "anchor" to "center" causes the pixels in the image to be anchored at

the corner pixel centers inside of at the pixel corners, effectively letting

half a pixel stick out to each side in the plot.

A possible future direction could be support for tiling for large images (like

Google Maps).

*/(function(e){function n(e,t,n){var r=e.getPlotOffset();if(!n.images||!n.images.show)return;var i=n.datapoints.points,s=n.datapoints.pointsize;for(var o=0;o<i.length;o+=s){var u=i[o],a=i[o+1],f=i[o+2],l=i[o+3],c=i[o+4],h=n.xaxis,p=n.yaxis,d;if(!u||u.width<=0||u.height<=0)continue;a>l&&(d=l,l=a,a=d),f>c&&(d=c,c=f,f=d),n.images.anchor=="center"&&(d=.5*(l-a)/(u.width-1),a-=d,l+=d,d=.5*(c-f)/(u.height-1),f-=d,c+=d);if(a==l||f==c||a>=h.max||l<=h.min||f>=p.max||c<=p.min)continue;var v=0,m=0,g=u.width,y=u.height;a<h.min&&(v+=(g-v)*(h.min-a)/(l-a),a=h.min),l>h.max&&(g+=(g-v)*(h.max-l)/(l-a),l=h.max),f<p.min&&(y+=(m-y)*(p.min-f)/(c-f),f=p.min),c>p.max&&(m+=(m-y)*(p.max-c)/(c-f),c=p.max),a=h.p2c(a),l=h.p2c(l),f=p.p2c(f),c=p.p2c(c),a>l&&(d=l,l=a,a=d),f>c&&(d=c,c=f,f=d),d=t.globalAlpha,t.globalAlpha*=n.images.alpha,t.drawImage(u,v,m,g-v,y-m,a+r.left,f+r.top,l-a,c-f),t.globalAlpha=d}}function r(e,t,n,r){if(!t.images.show)return;r.format=[{required:!0},{x:!0,number:!0,required:!0},{y:!0,number:!0,required:!0},{x:!0,number:!0,required:!0},{y:!0,number:!0,required:!0}]}function i(e){e.hooks.processRawData.push(r),e.hooks.drawSeries.push(n)}var t={series:{images:{show:!1,alpha:1,anchor:"corner"}}};e.plot.image={},e.plot.image.loadDataImages=function(t,n,r){var i=[],s=[],o=n.series.images.show;e.each(t,function(t,n){if(!o&&!n.images.show)return;n.data&&(n=n.data),e.each(n,function(e,t){typeof t[0]=="string"&&(i.push(t[0]),s.push(t))})}),e.plot.image.load(i,function(t){e.each(s,function(e,n){var r=n[0];t[r]&&(n[0]=t[r])}),r()})},e.plot.image.load=function(t,n){var r=t.length,i={};r==0&&n({}),e.each(t,function(t,s){var o=function(){--r,i[s]=this,r==0&&n(i)};e("<img />").load(o).error(o).attr("src",s)})},e.plot.plugins.push({init:i,options:t,name:"image",version:"1.1"})})(jQuery);