diff --git a/404.html b/404.html new file mode 100644 index 0000000..688f53d --- /dev/null +++ b/404.html @@ -0,0 +1,103 @@ + + + + + + + + + + + + + + + 404 Page not found · Compumetrika + + + + + + + + + + + + +
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Compumetrika

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404

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+ + + + + + + + + + diff --git a/404/fernetjs-invaders.png b/404/fernetjs-invaders.png new file mode 100644 index 0000000..ea93398 Binary files /dev/null and b/404/fernetjs-invaders.png differ diff --git a/404/game.min.js b/404/game.min.js new file mode 100644 index 0000000..b4c791a --- /dev/null +++ b/404/game.min.js @@ -0,0 +1 @@ +function Controls(){throw"Controls class is Static."}function Keyboard(){throw"KeyboardCode class is Static."}function ImageMapper(){throw"ImageMapper class is Static."}function ImageCreator(){throw"ImageCreator class is Static."}(function(){for(var t=0,i=["ms","moz","webkit","o"],e=0;i.length>e&&!window.requestAnimationFrame;++e)window.requestAnimationFrame=window[i[e]+"RequestAnimationFrame"],window.cancelAnimationFrame=window[i[e]+"CancelAnimationFrame"]||window[i[e]+"CancelRequestAnimationFrame"];window.requestAnimationFrame||(window.requestAnimationFrame=function(i){var e=(new Date).getTime(),s=Math.max(0,17-(e-t)),n=window.setTimeout(function(){i(e+s)},s);return t=e+s,n}),window.cancelAnimationFrame||(window.cancelAnimationFrame=function(t){window.clearTimeout(t)})})(),window.gameTime={lastTime:Date.now(),frameTime:0,typicalFrameTime:20,minFrameTime:12,time:0},window.gameTime.tick=function(){var t=Date.now(),i=t-this.lastTime;return this.minFrameTime>i?!1:(this.frameTime=i>2*this.typicalFrameTime?this.typicalFrameTime:i,this.time+=this.frameTime,this.lastTime=t,!0)},window.camera=function(){function t(t,i){return Math.floor(Math.random()*i+t)}function i(){return Math.round(Math.random())?1:-1}var e=.1,s=0,n=[0,0];return{pos:function(){return[n[0],n[1]]},shake:function(i){i=i||3,s=e,n=[t(-i,i),t(-i,i)]},update:function(t){t/=1e3,s-=t,0>s?n=[0,0]:(n[0]*=i(),n[1]*=i())}}}(),window.particles=function(){function t(t,i){return Math.floor(Math.random()*i+t)}function i(){return Math.round(Math.random())?1:-1}function e(t){function i(t){return"#"==t.charAt(0)?t.substring(1,7):t}function e(t){return parseInt(i(t).substring(0,2),16)}function s(t){return parseInt(i(t).substring(2,4),16)}function n(t){return parseInt(i(t).substring(4,6),16)}return-1===t.indexOf("#")?t:[e(t),s(t),n(t),1]}var s,n,o=[],h=[2,10];return{init:function(t,i){s=t,n=i,o=[]},create:function(s,n,h){for(var r=e(h),a=0;n>a;a++){var l=[t(10,30)*i(),-1*t(10,30)];o.push({pos:[s[0]+t(1,3)*i(),s[1]+t(1,3)*i()],vel:l,c:r,t:2})}},update:function(t){t/=500;for(var i=0;o.length>i;i++){var e=o[i];e.t-=t,e.vel[0]+=h[0]*t,e.vel[1]+=h[1]*t,e.pos[0]+=e.vel[0]*t,e.pos[1]+=e.vel[1]*t,e.pos[1]>n.h||0>e.t?o.splice(i,1):e.c[3]=e.t.toFixed(2)}},draw:function(){for(var t=0;o.length>t;t++){var i=o[t];s.save(),s.fillStyle="rgba("+i.c[0]+","+i.c[1]+","+i.c[2]+","+i.c[3]+")",s.fillRect(i.pos[0],i.pos[1],3,3),s.restore()}}}}(),function(){var t=!1,i=/xyz/.test(function(){})?/\b_super\b/:/.*/;this.Class=function(){},Class.extend=function(e){function s(){!t&&this.init&&this.init.apply(this,arguments)}var n=this.prototype;t=!0;var o=new this;t=!1;for(var h in e)o[h]="function"==typeof e[h]&&"function"==typeof n[h]&&i.test(e[h])?function(t,i){return function(){var e=this._super;this._super=n[t];var s=i.apply(this,arguments);return this._super=e,s}}(h,e[h]):e[h];return s.prototype=o,s.prototype.constructor=s,s.extend=arguments.callee,s}}(),Controls.Left="Left",Controls.Right="Right",Controls.Shoot="Shoot",Keyboard.Left=37,Keyboard.Right=39,Keyboard.Up=38,Keyboard.Down=40,Keyboard.Space=32,ImageMapper.Ship=function(){return[[0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0],[0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0],[0,0,0,0,1,1,1,1,1,1,1,1,1,1,0,0,0,0],[0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0],[0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0],[0,1,1,1,0,1,1,0,1,1,0,1,1,0,1,1,1,0],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],[0,0,1,1,1,0,0,0,0,0,0,0,0,1,1,1,0,0],[0,0,1,1,1,0,0,0,0,0,0,0,0,1,1,1,0,0],[0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0]]},ImageMapper.ShipShoot=function(){return[[1],[1],[1],[1],[1],[1],[1]]},ImageMapper.Invasion=function(){return[[2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,1,2,1,1,1,2,2,2,1,2],[2,2,1,1,2,1,2,1,2,2,1,1,2],[2,1,2,1,2,1,2,1,2,1,2,1,2],[2,1,1,1,2,1,2,1,2,1,1,1,2],[2,2,2,1,2,1,1,1,2,2,2,1,2],[2,2,2,2,2,2,2,2,2,2,2,2,2]]},ImageMapper.AlienCrab=function(){return[[0,0,1,0,0,0,0,0,1,0,0],[3,0,0,1,0,0,0,1,0,0,3],[3,0,0,1,0,0,0,1,0,0,3],[3,0,1,1,1,1,1,1,1,0,3],[3,0,1,0,1,1,1,0,1,0,3],[3,1,1,1,1,1,1,1,1,1,3],[2,1,1,1,1,1,1,1,1,1,2],[2,0,1,1,1,1,1,1,1,0,2],[2,0,1,1,1,1,1,1,1,0,2],[2,0,1,0,0,0,0,0,1,0,2],[2,0,1,0,0,0,0,0,1,0,2],[0,3,0,2,2,0,2,2,0,3,0]]},ImageMapper.AlienSquid=function(){return[[0,0,0,0,0,1,0,0,0,0,0],[0,0,0,0,1,1,1,0,0,0,0],[0,0,0,1,1,1,1,1,0,0,0],[0,0,1,1,1,1,1,1,1,0,0],[0,1,1,0,1,1,1,0,1,1,0],[1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1],[0,0,1,0,0,0,0,0,1,0,0],[0,0,1,0,0,0,0,0,1,0,0],[0,1,0,3,0,0,0,3,0,1,0],[3,0,1,0,3,0,3,0,1,0,3]]},ImageMapper.DeadAlien=function(){return[[1,0,0,0,0,0,0,0,0,0,1],[0,1,0,0,0,1,0,0,0,1,0],[0,0,1,0,0,1,0,0,1,0,0],[0,0,0,1,0,1,0,1,0,0,0],[0,0,0,0,0,0,0,0,0,0,0],[1,1,1,1,0,0,0,1,1,1,1],[0,0,0,0,0,0,0,0,0,0,0],[0,0,0,1,0,1,0,1,0,0,0],[0,0,1,0,0,1,0,0,1,0,0],[0,1,0,0,0,1,0,0,0,1,0],[1,0,0,0,0,1,0,0,0,0,1]]},ImageMapper.AlienShoot=function(){return[[0,1,0],[1,0,0],[0,1,0],[0,0,1],[0,1,0],[1,0,0],[0,1,0]]},ImageMapper.Shield=function(){return[[1,0,0,1,0,1,1,1,0,1,1,1,0,0,0,0,1,1,1,0,1,1,1,0,1,0,1,0,1,0,0,1,0,1,1,0],[1,1,0,1,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,0,1,0,1,0,1,0,1,0,1,1,0,1,0,1,0,1],[1,1,1,1,0,1,0,1,0,0,1,0,0,0,0,0,1,1,0,0,1,0,1,0,1,0,1,0,1,1,1,1,0,1,0,1],[1,0,1,1,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,0,1,0,1,0,1,0,1,0,1,0,1,1,0,1,0,1],[1,0,0,1,0,1,1,1,0,0,1,0,0,0,0,0,1,0,0,0,1,1,1,0,1,1,1,0,1,0,0,1,0,1,1,0]]},ImageMapper.ShieldBrick=function(){return[[[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1],[1,1,1,1,1,1]],[[0,1,1,1,0,1],[1,1,1,0,0,0],[1,1,0,1,1,0],[0,0,1,0,1,1],[1,0,0,1,0,1],[1,1,0,0,1,1]],[[0,0,0,1,0,1],[0,0,0,0,0,0],[1,0,0,1,0,0],[0,0,1,0,1,1],[1,0,0,1,0,1],[1,1,0,0,0,0]]]},ImageCreator.getImages=function(t){function i(){for(var t=o.length,i=0;t>i;i++)for(var e=o[i].length,s=0;e>s;s++){var h=o[i][s];if(h){var r=new Brick({ctx:d,x:s*l,y:i*l,width:l,height:l,color:u,value:h});n.push(r)}}}function e(t){d.clearRect(0,0,h,r);for(var i=n.length,e=0;i>e;e++)(1===n[e].value||n[e].value===t)&&n[e].draw();var o=c.toDataURL("image/png"),a=new Image;a.src=o,s.push(a)}var s=[],n=[],o=t.mapper||[],h=t.width||100,r=t.height||100,a=t.states||[],l=t.brickSize||5,u=t.color||"#000",c=document.createElement("canvas");c.width=h,c.height=r;var d=c.getContext("2d");i();for(var f=0;a.length>f;f++)e(a[f]);var f=n.length-1;do n[f]=null;while(f--);return s};var DrawableElement=Class.extend({init:function(t){this.ctx=t.ctx?t.ctx:null,this.size={width:t.width||0,height:t.height||0},this.position={x:t.x||0,y:t.y||0},this.brickSize=t.brickSize||1,this.color=t.color||"#000",this.bricks=[],this.onDestroy=t.onDestroy||function(){}},build:function(){},update:function(){},draw:function(t){null!=this.ctx&&this.ctx.drawImage(t,this.position.x+window.camera.pos()[0],this.position.y+window.camera.pos()[1])},destroy:function(){this.ctx=null,null!=this.size&&(this.size.width=null,this.size.height=null,this.size=null),null!=this.position&&(this.position.x=null,this.position.y=null,this.position=null),this.brickSize=null,this.color=null;var t=this.bricks;if(null!=t){for(var i=t.length,e=0;i>e;e++)t[e]=null;this.bricks=null}}}),Shoot=DrawableElement.extend({init:function(t){this._super(t),this.MOVE_FACTOR=5,this.dir=t.dir,this.shootImage=t.shootImage,this.collateBricks=t.collateBricks,this.collateAliens=t.collateAliens,this.timer=null},build:function(){},update:function(){var t=this.dir,i=this.MOVE_FACTOR;return this.position.y+=i*t,this.hasCollision()?(this.collided(),void 0):void 0},draw:function(){this._super(this.shootImage)},collided:function(){this.destroy()},destroy:function(){clearInterval(this.timer),this.collateBricks=null,this.collateAliens=null,this.onDestroy(this),this._super()},hasCollision:function(){function t(t){if(!t)return!1;for(var s=t,n=s.length,o=0;n>o;o++){var h=s[o],r=h.position.x,a=h.position.y,l=r+h.size.width,u=a+h.size.height;if(i>=r&&l>=i&&e>=a&&u>=e&&!h.destroyed)return t[o].collided(),!0}return!1}var i=this.position.x,e=this.position.y;return 0>e||e>400?!0:t(this.collateBricks)?!0:this.collateAliens&&t(this.collateAliens)?!0:void 0}}),Ship=DrawableElement.extend({init:function(t){this._super(t),this.maxMove={left:t.maxMoveLeft,right:t.maxMoveRight},this.onShipHit=t.onShipHit||function(){},this.MOVE_FACTOR=.2,this.SHOOT_TIME=200,this.brickSize=2,this.shootImage=null,this.shoots=[],this.lastShoot=0,this.imgs=[];var i=ImageMapper.Ship();this.size={width:this.brickSize*i[0].length,height:this.brickSize*i.length},this.build(),this.shield=t.shield,this.invasion={}},build:function(){this.buildShootImage();var t={width:this.size.width,height:this.size.height,states:[1],brickSize:this.brickSize,mapper:ImageMapper.Ship(),color:this.color};this.imgs=ImageCreator.getImages(t)},update:function(t,i){var e=this.MOVE_FACTOR;t.indexOf(Controls.Left)>-1?this.position.x>this.maxMove.left&&(this.position.x-=e*i):t.indexOf(Controls.Right)>-1&&this.position.x-1&&0>=this.lastShoot&&(this.lastShoot=this.SHOOT_TIME,t.splice(s,1),this.makeShoot());for(var n=this.shoots,o=n.length,h=0;o>h;h++)n[h]&&n[h].update(i)},draw:function(){this._super(this.imgs[0]);for(var t=this.shoots,i=t.length,e=0;i>e;e++)t[e]&&t[e].draw()},collided:function(){this.onShipHit()},destroy:function(){this.onShipHit=null,this.shootImage=null;for(var t=0;this.shoots.length>t;t++)this.shoots[t].destroy();this.shoots=[],this.imgs=[],this.shield=null,this.invasion=null,this._super()},makeShoot:function(){var t=this,i=new Shoot({ctx:this.ctx,x:this.position.x+this.size.width/2,y:this.position.y,dir:-1,shootImage:this.shootImage,onDestroy:function(i){for(var e=0;t.shoots.length>e;e++)if(t.shoots[e]===i){t.shoots.splice(e,1);break}},collateBricks:this.shield.bricks,collateAliens:this.invasion.aliens});this.shoots.push(i)},buildShootImage:function(){var t=ImageMapper.ShipShoot(),i=2,e=i*t[0].length,s=i*t.length,n={width:e,height:s,states:[1],brickSize:i,mapper:t,color:this.color};this.shootImage=ImageCreator.getImages(n)[0]}}),Invasion=DrawableElement.extend({init:function(t){this._super(t),this.colors={crab:"#FF2727",squid:"#F8FF41"},this.size={width:390,height:210},this.shield=t.shield,this.ship=t.ship,this.MOVE_FACTOR=10,this.DOWN_FACTOR=12,this.CURR_VEL=600,this.VEL_FACTOR=50,this.MOVE_TIME=500,this.lastMove=0,this.dir=1,this.lastDir=1,this.lastPer=100,this.state=0,this.alienSize=30,this.aliens=[],this.crabImages=[],this.squidImages=[],this.deadAlienImgs=[],this.shootImage=null,this.shoots=[],this.build(),this.aliensAmm=this.aliens.length,this.hadAlienCollision=!1,this.onAliensClean=t.onAliensClean||function(){},this.timer=null},build:function(){var t=this;this.buildShootImage(),this.buildAliensImages();for(var i=this.alienSize,e=this.position.x,s=this.position.y,n=this.ctx,o=ImageMapper.Invasion(),h=o.length,r=0;h>r;r++)for(var a=o[r].length,l=0;a>l;l++)if(o[r][l]){var u,c={ctx:n,x:l*i+e,y:r*i+s,width:i,height:i,destroyedImg:this.deadAlienImgs,shield:this.shield,ship:this.ship,onDestroy:function(i){for(var e=0;t.aliens.length>e;e++)if(t.aliens[e]===i){t.aliens.splice(e,1);break}},onWallCollision:function(){t.hadAlienCollision=!0}};switch(o[r][l]){case 1:c.stateImgs=this.crabImages,c.color=this.colors.crab;break;case 2:c.stateImgs=this.squidImages,c.color=this.colors.squid}u=new Alien(c),this.aliens.push(u)}},loop:function(){this.state=!this.state;var t=this.MOVE_FACTOR,i=0,e=0,s=this.aliens,n=s.length;0===n&&this.onAliensClean(),this.hadAlienCollision&&(this.dir*=-1,this.hadAlienCollision=!1,e=this.DOWN_FACTOR,this.lastDir=this.dir),i=t*this.dir,this.position.x+=i,this.position.y+=e;var o=!1;if(this.state&&Math.floor(2*Math.random())){o=!0,shooterIdx=[];for(var h=0;2>h;h++)shooterIdx.push(Math.floor(Math.random()*n))}for(var h=0;n>h;h++)s[h].position.x+=i,s[h].position.y+=e,o&&shooterIdx.indexOf(h)>-1&&this.makeShoot(s[h]);this.vMove>0&&(this.vMove=0);var r=100*n/this.aliensAmm;return this.lastPer-r>9?(this.CURR_VEL-=this.VEL_FACTOR,this.MOVE_TIME-=this.VEL_FACTOR,200>this.MOVE_TIME&&(this.MOVE_TIME=200),this.lastPer=r,void 0):void 0},update:function(t){if(this.lastMove-=t,0>=this.lastMove){this.loop(),this.lastMove=this.MOVE_TIME,this.state;for(var i=this.aliens,e=i.length,s=0;e>s;s++)void 0!==i[s]&&i[s].update(t)}for(var n=this.shoots,o=n.length,s=0;o>s;s++)n[s]&&n[s].update(t)},draw:function(){for(var t=this.state,i=this.aliens,e=i.length,s=0;e>s;s++)void 0!==i[s]&&i[s].draw(t);for(var n=this.shoots,o=n.length,s=0;o>s;s++)n[s].draw()},destroy:function(){clearInterval(this.timer),this.shield=null,this.ship=null;for(var t=0;this.shoots.length>t;t++)this.shoots[t].destroy();this.shoots=[],this._super()},makeShoot:function(t){var i=this.shield,e=this.ship,s=this,n=new Shoot({ctx:this.ctx,x:t.position.x+t.size.width/2,y:t.position.y,dir:1,shootImage:this.shootImage,onDestroy:function(t){for(var i=0;s.shoots.length>i;i++)if(s.shoots[i]===t){s.shoots.splice(i,1);break}},collateBricks:i.bricks,collateAliens:[e]});this.shoots.push(n)},buildShootImage:function(){var t=ImageMapper.AlienShoot(),i=2,e=i*t[0].length,s=i*t.length,n={width:e,height:s,states:[1],brickSize:i,mapper:t,color:"yellow"};this.shootImage=ImageCreator.getImages(n)[0]},buildAliensImages:function(){var t={width:30,height:30,states:[1],brickSize:2};t.mapper=ImageMapper.DeadAlien(),t.color="white",this.deadAlienImgs=ImageCreator.getImages(t),t.states=[2,3],t.mapper=ImageMapper.AlienCrab(),t.color=this.colors.crab,this.crabImages=ImageCreator.getImages(t),t.mapper=ImageMapper.AlienSquid(),t.color=this.colors.squid,this.squidImages=ImageCreator.getImages(t)}}),Alien=DrawableElement.extend({init:function(t){this._super(t),this.images=t.stateImgs||[],this.destroyedImg=t.destroyedImg||[],this.onWallCollision=t.onWallCollision||[],this.shield=t.shield||null,this.ship=t.ship||null,this.destroyed=!1,this.shoots=[]},build:function(){},update:function(){this.hasCollision();var t=this.position.x;(20>t||t>590-this.size.width)&&this.onWallCollision();var i=this.position.y+this.size.height;0>i&&this.ship.collided()},draw:function(t){if(this.destroyed)this._super(this.destroyedImg[0]),this.destroy(),this.onDestroy(this);else{var i=t?0:1;this._super(this.images[i])}},hasCollision:function(){function 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I may change the items which reside in here (particularly the style of the webpage and static site generator), but I also intend to maintain my major "thoughts and ideas" here. diff --git a/POSTS/WHAT_I_DO.md b/POSTS/WHAT_I_DO.md deleted file mode 100644 index 461eca4..0000000 --- a/POSTS/WHAT_I_DO.md +++ /dev/null @@ -1,34 +0,0 @@ -Things I work on: - - -* Simulation-based inference: indirect inference and the bootstrap - * a "direct" method of indirect inference: simulated method of moments - * model-based indirect inference using a *detailed model* and *auxiliary model* - * model-based ("parametric") bootstrap - * non-parametric bootstrap - -* Welfare ranking for arbitrary policy functions: heuristic policies, social policies - * employs simulation-based value estimation - * provides estiamtes of the true welfare cost of social learning (exploitation vs exploration tradeoffs) - * provides - -* First-principles approach to learning solutions to dynamic optimization problems with arbitrary model uncertainty - - * Drows from extensive and established literature: Approximate dynamic programming, reinforcement learning, stochastic approximation - * Asynchronous dynamic programming as a foundational baseline - * establishes efficiency (or inefficiency) of finding optimal solutions under learning-from-experience - * and conveniently, a conceptual bridge from dynamic programming - * intuitive explanation for *why* agents may 'optimally choose to approximate' (spoiler: signal process is to slow for finding complete dynamic solution to be optimal, once we account for exploration/exploitation tradeoff. Welfare loss from explore/exploit tradeoff implies there is actually an optimal level of approximation, which we can establish in concrete ways, using traditional Policy Iteration as overarching framework.) - * basic version does not require knowledge about shock process - * key elements: - * exploiting knowledge about the shape of the optimal solution - * approximation of - * learning from "regret" - * widely applicable to nearly any policy setting - * also suggests straightforward ways in which agents may "go off the rails" and learn poorly. - * approach from first principles implies straightforward framework/taxonomy for "boundely rational" mistakes on part of agents. - * eg. conditional on claiming - * intuitive exp - * Note: it may be the case that some of population is modeled *best* as learning to optimize, some modeled best as purely replication-dynamic learners, and some simply modeled as "confused," not making discernable optimizing choices (NOTE that this may go one of two ways -- optimal policy plus noise, or simply noise within what is feasible.) - * GREAT EXPERIMENTAL REFERENCE: Houser et al. (200_), Bayesian estimation of number of types of learners. - * THIS FINDS EVIDENCE for N distinct types of learners! Which at first blush appear to fit the framework above very nicely! That is, "near optimimal" learners, "mistakes in a particular way" learners, and "pure confusion" (non)learners. Very very cool result. diff --git a/POSTS/see_email_to_alex_kaufman_for_musing_on_abm.txt b/POSTS/see_email_to_alex_kaufman_for_musing_on_abm.txt deleted file mode 100644 index 49d2ba3..0000000 --- a/POSTS/see_email_to_alex_kaufman_for_musing_on_abm.txt +++ /dev/null @@ -1,5 +0,0 @@ - - -It's funny -- the ABM guys originally introduced a lot of "heuristic" behavior half because of principle ("people don't really optimize!"), but also half because, if you want to build a complicated enough structural model (for example, mildly realistic range of mortgage options, or large numbers of assets, or the need to save for retirement as well as "for a rainy day" as well as for a car and a house and education, and maybe job choice, and maybe add marriage choice and number of kids choice) -- it quickly becomes purely a *practical* issue that you need heuristics just to make the solution computationally tractable. Of - -And really -- a huge aspect to all of this is that it usually takes someone a couple years to write down, run, get the bugs out, and estimate a new model. diff --git a/REREFENCE_CONTENT/MR_opaque_intelligence_alex_tabarrok/The Rise of Opaque Intelligence.html b/REREFENCE_CONTENT/MR_opaque_intelligence_alex_tabarrok/The Rise of Opaque Intelligence.html deleted file mode 100644 index 12b69d6..0000000 --- a/REREFENCE_CONTENT/MR_opaque_intelligence_alex_tabarrok/The Rise of Opaque Intelligence.html +++ /dev/null @@ -1,1109 +0,0 @@ - - - - -The Rise of Opaque Intelligence - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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The Rise of Opaque Intelligence

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- by - on February 20, 2015 at 7:31 am - in Economics, Science | - Permalink

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Many years ago I had a job picking up and delivering packages in Toronto. Once the boss told me to deliver package A then C then B when A and B were closer together and delivering ACB would lengthen the trip. I delivered ABC and when the boss found out he wasn’t happy because C needed their package a lot sooner than B and distance wasn’t the only variable to be optimized. I recall (probably inaccurately) the boss yelling:

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Listen college boy, I’m not paying you to think. I’m paying you to do what I tell you to do.

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It isn’t easy suppressing my judgment in favor of someone else’s judgment even if the other person has better judgment (ask my wife) but once it was explained to me I at least understood why my boss’s judgment made sense. More and more, however, we are being asked to suppress our judgment in favor of that of an artificial intelligence, a theme in Tyler’s Average is Over. As Tyler notes notes:

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…there will be Luddites of a sort. “Here are all these new devices telling me what to do—but screw them; I’m a human being! I’m still going to buy bread every week and throw two-thirds of it out all the time.” It will be alienating in some ways. We won’t feel that comfortable with it. We’ll get a lot of better results, but it won’t feel like utopia.

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I put this slightly differently, the problem isn’t artificial intelligence but opaque intelligence. Algorithms have now become so sophisticated that we human’s can’t really understand why they are telling us what they are telling us. The WSJ writes about driver’s using UPS’s super algorithm, Orion, to plan their delivery route:

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Driver reaction to Orion is mixed. The experience can be frustrating for some who might not want to give up a degree of autonomy, or who might not follow Orion’s logic. For example, some drivers don’t understand why it makes sense to deliver a package in one neighborhood in the morning, and come back to the same area later in the day for another delivery. But Orion often can see a payoff, measured in small amounts of time and money that the average person might not see.

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One driver, who declined to speak for attribution, said he has been on Orion since mid-2014 and dislikes it, because it strikes him as illogical.

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Human drivers think Orion is illogical because they can’t grok Orion’s super-logic. Perhaps any sufficiently advanced logic is indistinguishable from stupidity.

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Hat tip: Robin Hanson for discussion.

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- - -dan in Philly -February 20, 2015 at 8:00 am - -
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Exactly my problem with what I’ve leared about big data analysis, especially neural networks. It works, but I don’t understand how to out-think it, which how I tend to get comfortable with things I do and systems I have to follow. So I feel like a blind man steering a bus down broad street with only my GPS to help me. I just can’t seem to get comfortable now matter how long we go without a crash.

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- - -Max Factor -February 20, 2015 at 8:13 am - -
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I’ve been feeding Amazon data for more than a decade and its recommendations still lag Barnes and Noble’s in store employee picks. When I used Netflix I was also unimpressed with their recommendations.

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- - -Bill -February 20, 2015 at 8:18 am - -
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+1 The Bayesian algorithm needed more data from other users, but the employee knew you.

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Who is smarter, man or machine.

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- - -Pshrnk -February 20, 2015 at 9:10 am - -
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Perhaps the employee was picking up on the human’s emotional state of the moment as well as their long term trends. The former Amazon and Netflix cannot yet do, wlthough I suspect they are much better than humans at the latter.

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If the employee giving me recommendations was attractive I might also have reasons of affiliation to like their pick more than a pick made by algorithm.

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- - -Urstoff -February 20, 2015 at 9:12 am - -
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cyborg

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- - -Max Factor -February 20, 2015 at 9:27 am - -
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To clarify – there is a section of Barnes & Noble titled “Employee Picks” – I always find several interesting books there while it takes a half hour of browsing on Amazon to find a similar number of books. I’m not interacting with any humans at Barnes & Noble.

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- - -Pshrnk -February 20, 2015 at 9:33 am - -
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Thanks. I wonder how well the employee picks would work as you go to bookstores further from your home community.

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- - -Bill -February 20, 2015 at 8:16 am - -
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The example is silly.

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The employee was not given the information which formed the basis of the employer’s irrational preferences, given the failure to disclose what is being optimized.

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Now, if you don’t know nuclear physics, and you are told by your boss at the nuclear power plant to flood the reactor if the bell sounds, you are more likely to follow his advice, given that you know that you don’t know and that he does. Or she, does.

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- - -NPW -February 20, 2015 at 8:38 am - -
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“Human drivers think Orion is illogical because they can’t grok Orion’s super-logic. Perhaps any sufficiently advanced logic is indistinguishable from stupidity.”

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Or maybe the humans actively doing the work are more attuned to the variables than the humans who wrote the code. This seems to be consistently misssed. It isn’t computers vs humans, it is coders vs others.

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It may get to the point that the collective code is superior, but at this moment in time is not always true. Code is like a book of regulations being dictated by someone in an air conditioned office to the guy in the dirt being shot at. Conflict as to the right course of action is fundementally assured.

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- - -Adrian Ratnapala -February 20, 2015 at 8:43 am - -
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It isn’t even coders vs. the rest. It is more like central planners vs. the market: the code can only take into account certain things things and the driver might well know some other factor that isn’t included. Now I hope UPS has measured the effectiveness of Orion compared to the old fashioned way, and it could turn out that on average it’s errors are better than the ones that drivers make.

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But it’s pretty hard on a driver who, from everything he can see, is being told to do something irrational. And likely to cause the driver to disobey. Like Alex’ boss, these systems should try and explain their rationale — although such code easier to request than to write.

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- - -Matt -February 20, 2015 at 9:15 am - -
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That’s a good point. Ideally, they should also incorporate some sort of feedback mechanism, so that drivers, and others closer to the real world conditions, can add information and variables to the model that the coders or planners didn’t account for.

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- - -mbutuomalley -February 20, 2015 at 9:20 am - -
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I ran into a similar issue when talking about code for routing aircraft at a large airport. I pointed out that despite the rigorous QA process some defects will not be obvious unless a post comparison is done about other possible solutions. If nothing else that the calculated result needs to be compared to the actual result to see how much variation there is and perhaps introduce logic that corrects for that difference over time (or at least trigger additional analysis of it). Same issue exists in complicated pricing systems too.

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- - -harryh -February 20, 2015 at 8:39 am - -
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Surprised you didn’t mention the obvious anti-vaxxer tie in to this concept.

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- - -Pshrnk -February 20, 2015 at 9:12 am - -
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Obvious?

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- - -Kevin -February 20, 2015 at 8:42 am - -
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Are we really sure that Orion’s schedule is more efficient?

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I wonder how much this is like (Hayek’s?) information problem in central planning. Does it really have more information than the local drivers about the idiosyncrasies of particular routes?

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I suspect the drivers and Orion are trying to optimize different things and that the Postal System’s problem is that its drivers’ incentives do not line up as closely with USPS objectives as do the formula Orion is trying to optimize.

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- - -Ross -February 20, 2015 at 8:52 am - -
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Good point. Maybe the driver wants to hit up a particular sushi joint for lunch but the computer puts them on the other side of town.. Trivial example, but the loss of control over small personal decisions would really bother me.

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- - -Alex -February 20, 2015 at 8:49 am - -
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Part of it for me is recognizing the weaknesses in an imperfect system. If I can pinpoint the potential shortfalls or blind spots of a method or system (which all systems inevitable have), then I know what to plan for. If the algorithm is smarter than I am, I just have to trust blindly. I think that’s one of the limit’s that driverless cars face. They may be demonstrably safer than human drivers, but I’m giving up all autonomy to trust it.

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- - -J -February 20, 2015 at 8:52 am - -
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Alex has come upon the impetus behind the growing research area of interpretable machine learning algorithms. UPS may be able to force its drivers to follow an algorithmic master, but doctors aren’t going to pay attention to the recommendations of an AI system (even if it can beat Ken Jennings in Jeopardy) unless the system can provide an “explanation” for its answer.

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- - -Pshrnk -February 20, 2015 at 9:15 am - -
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When the algorithms are able to demonstrably provide better treatment outcomes we better learn to follow them whether we understand the explanation or not. I will take an algorithm that has a 90% chance of ameliorating my illness over a human doc with a 70% chance.

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- - -Jeff R. -February 20, 2015 at 10:05 am - -
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There will be software to assist you in a self-diagnosis, so maybe you won’t need to worry about what the doctor thinks or doesn’t think. You’ll just need him to do the surgery/write the prescription.

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- - -Jonathan -February 20, 2015 at 9:42 am - -
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If I’m playing high-stakes chess and I’m given access to Deep Blue (or whatever is best now) I’m going to follow its recommendations blindly without caring why… especially since I know the “why” consists of a n-ply deep evaluation of positions using some opaque function.

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- - -gamma -February 20, 2015 at 9:03 am - -
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The problem with these algorithms is that they are based on aggregate information. The further the driver’s route and particulars are from the mean, the less effective the algorithm will be for his (or her) particular route, and the more frustration the driver will feel.

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I suspect this will also change the way the drivers approach their job. For example, when I play Scrabble, I am ransacking my mind for words that might fit the board, and the others are unlikely to challenge or win a challenge with. But when I play Words With Friends, it doesn’t matter what words I know; it only matters what WWF knows. So when the going gets tough I just randomly switch out tiles until something works. It’s opaque, less satisfying, and only rarely do I bother looking up the so-called word I just played. If UPS drivers adopt that mentality, they’ll be less able to deal with the unexpected when it arises.

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- - -rayward -February 20, 2015 at 9:11 am - -
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Of course, if judgment is inferior to data, counterproductive even, then what’s the value of experience; and if experience lacks value, if experience is counterproductive, then why hire anyone (other than quants) with an IQ above functional.

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- - -Pshrnk -February 20, 2015 at 9:17 am - -
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If judgment is not based on data then what is the experience judgment is based on.

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- - -moo cow -February 20, 2015 at 9:20 am - -
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It used to be the FedEx truck could be found idling in the municipal park lot at around 3:30 each day when I took my dog for a walk. Now the truck careens through the neighborhood back and forth like some kind of possessed Christine all the way up until about 5:30.

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- - -dearieme -February 20, 2015 at 9:24 am - -
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To assume that the code is necessarily doing a better job than an experienced driver is simply begging the question.

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- - -Axa -February 20, 2015 at 9:27 am - -
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Ahhhh, the intelligent guy thinks he’s more efficient than any route planning algorithm and he may be right. However, he’s not intelligent enough to imagine himself in the manager shoes. If the company could hire only brilliant and cooperative guys like him no algorithm would be needed, ever. But reality is different, Orion is not designed to help intelligent people but the majority of people. If the majority improves, the average result is better and managers get savings. Intelligent people can adapt or go home.

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- - -Pshrnk -February 20, 2015 at 9:35 am - -
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So AVERAGE IS NOT OVER.

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- - -Bruce Cleaver -February 20, 2015 at 9:40 am - -
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This sort of thing has been recognized in computer chess for years after the advent of N-man databases. The following link shows a ‘mate in 549′ which is completely opaque – there appears to be no progress whatsoever for the first 548 moves…..

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http://timkr.home.xs4all.nl/chess2/diary.htm (See #393)

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- - -Btone -February 20, 2015 at 9:43 am - -
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I seem to recall that in Asimov, the “higher” logic eventually comes to different conclusions about ends as well as means.

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- - -Pshrnk -February 20, 2015 at 10:14 am - -
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Yep. I don’t always take the most efficient route for my commute to and from work. I sometimes vary it for esthetic reasons.

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- - -Bob Knaus -February 20, 2015 at 9:44 am - -
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For many people, “opaque intelligence” includes the intelligence of human experts. My Facebook feed is full of low-grade propaganda graphics denying expert consensus.

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- - -bellisaurius -February 20, 2015 at 9:46 am - -
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One step closer to becoming space hippies and joining The Culture.

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Although, as a control engineer who gets to sometimes interact/override these things, I’d make the list as:

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“Person who knows system intimately and has knowledge of what goes on ‘in the black box'” + computer > “computer where coders have half a clue”> guy on his own with half a clue> pretty much anything else.

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- - -derek -February 20, 2015 at 10:02 am - -
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And when 20% of your drivers don’t show up on time in the morning, then nothing gets delivered.

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- - Python Packages and Environments with conda - -

- - -
- Posted on - - - by - - Bryan Van de Ven - Maggie Mari - - Ilan Schnell - - - -
- -

If you had to pick one Python weakness…

-

For all the many strengths of Python, people often express frustration in finding, building, and installing third party packages. -This pain can be especially acute with scientific and analytical libraries, which are often a mix of Python with compiled, platform-dependent C, C++, or Fortran code. -One day, tools like PyPy and Numba may rescue us from this state of affairs, but data scientists working today need solutions—today. -When we began building Wakari, a cloud-based platform for shareable, reproducible analytics, we also experienced this pain. -Our users need to work with different versions of Python, NumPy, SciPy, and a variety of other packages. -Moreover, they must be able to easily share live, runnable versions of their work, including all supporting packages, to their colleagues or the general public.

-

We created the conda package and environment management system to solve these problems. -It allows users to install multiple versions of binary packages (and any required libraries) appropriate for their platform and easily switch between them, as well as easily download updates from an upstream repository. -Continuum hosts a number of repository channels that provide many free open source packages (as well commercial channels for distributing commercial packages). -It’s also possible for conda users to host their own channels, so that they may pull their own packages easily into conda environments. -Think of it as git branching for site-packages, combined with yum for Python packages. -Because we found conda to be so useful for managing packages in Anaconda and Wakari, we have open-sourced it, so that others might benefit from it as well.

-

Having been involved in the python world for so long, we are all aware of pip, easy_install, and virtualenv, but these tools did not meet all of our specific requirements. -The main problem is that they are focused around Python, neglecting non-Python library dependencies, such as HDF5, MKL, LLVM, etc., which do not have a setup.py in their source code and also do not install files into Python’s site-packages directory.

-

Under the hood, we have created a concept of environments which are conceptually similar to virtualenvs, but which use filesystem-level -hard links to create entirely self-contained Python runtime layouts. -By using the ‘conda’ command line tool, users can easily switch between environments, create environments, and install different versions of libraries and modules into them.

-

The conda documentation is available online, and contains a complete command reference as well as a number of examples. -With the release of conda 1.3, we’d like to show off some of conda’s more important features and provide a helpful “Getting Started” guide as a blog post as well. -Let’s take a look at some common scenarios!

-

Downloading and Installing Packages

-

The primary use case of conda is for managing packages and their dependencies in a platform independent fashion. -Let’s see how conda can help us find and install packages we are interested in. -First, let’s look at some information about our conda setup:

-
$ conda info
-  Current Anaconda install:
-
-               platform : osx-64
-  conda command version : 1.3.2
-         root directory : /Users/maggie/anaconda
-         default prefix : /Users/maggie/anaconda
-           channel URLS : ['http://repo.continuum.io/pkgs/free/osx-64/']
-  environment locations : ['/Users/maggie/anaconda/envs']
-
- -

If the package is in one of the repository channels we have configured, then installing a package is as simple as using the conda install command. -We can install packages into different environments, but if you don’t otherwise specify, conda will install packages into the default Anaconda environment. -We’ll visit creating new environments a littler later, but let’s start with some examples with the default environment. -Let’s say there is a different version of matplotlib we wish to try out:

-
$ conda install matplotlib=1.2
-
-Package plan for installation in environment /Users/bryan/anaconda13:
-
-The following packages will be DE-activated:
-
-    package                    |  build
-    -------------------------  |  ---------------
-    matplotlib-1.1.1           |       np17py27_2
-
-The following packages will be activated:
-
-    package                    |  build
-    -------------------------  |  ---------------
-    matplotlib-1.2.0           |       np17py27_0
-
-Proceed (y/n)?
-
- -

Of course, if we just want to update to the latest newer version of a package that is compatible with other currently installed packages we can often just use the conda update command:

-
$ conda update matplotlib
-Updating Anaconda environment at /Users/bryan/anaconda13
-
-The following packages will be DE-activated:
-
-    package                    |  build
-    -------------------------  |  ---------------
-    matplotlib-1.1.1           |       np17py27_2
-
-The following packages will be activated:
-
-    package                    |  build
-    -------------------------  |  ---------------
-    matplotlib-1.2.0           |       np17py27_0
-
-Proceed (y/n)?
-
- -

If there are packages that we want that are in other additional channels, we can add those channels in our condarc file. -Let’s look at the default condarc file: -

# channel locations. These override conda defaults, i.e., conda will
-# search only the channels listed here, in the order given.
- channels:
-#  - http://repo.continuum.io/pkgs/dev
-#  - http://repo.continuum.io/pkgs/gpl
-#  - http://repo.continuum.io/pkgs/pro
-    - http://repo.continuum.io/pkgs/free
-
-If we would like to allow GPL licensed packages to be installed into our Anaconda environments, we can simply uncomment the line with the “gpl” channel. -Afterwards, this new channel will show up in our conda info output: -
$ conda info

-
Current Anaconda install:

-
         platform : osx-64
-

-
conda command version : 1.3.3-5-g0c5b033-dirty
-       root directory : /Users/maggie/anaconda
-       default prefix : /Users/maggie/anaconda
-         channel URLS : ['http://repo.continuum.io/pkgs/gpl/osx-64/',
-                         'http://repo.continuum.io/pkgs/free/osx-64/']
-environment locations : ['/Users/bryan/anaconda/envs']
-

-

Now we can install, for instance, the GPL licensed rope library:

-
$ conda install rope
-
-Package plan for installation in environment /Users/bryan/anaconda:
-
-The following packages will be downloaded:
-
-    rope-0.9.4-py27_g0.tar.bz2 [http://repo.continuum.io/pkgs/gpl/osx-64/]
-
-The following packages will be activated:
-
-    package                    |  build
-    -------------------------  |  ---------------
-    rope-0.9.4                 |          py27_g0
-
-Proceed (y/n)?
-
- -

It’s also possible to explicitly supply a package file to install.

-
$ conda install ~/redis-py-2.7.2-py27_0.tar.bz2
-redis-py-2.7.2-py27_0:
-    already available - removing
-    making available
-    activating
-
- -

This is a bit lower level, but can be useful if you have your own package files to install (we will talk about creating your own packages a bit later).

-

Creating and Using Environments

-

Let’s look a bit into creating new Anaconda environments. -At the core, Anaconda environments are just like directories that contain particular versions of packages. -These can be located anywhere, but if they are within the Anaconda installation directory, conda will know about them. -Let’s take a look:

-
$ conda info -e
-    Known Anaconda environments:
-
-        /Users/maggie/anaconda
-
- -

A fresh install, there is just the default environment. -Now we’d like to create some new environments. -Maybe we have some existing libraries that perform some interesting analysis, and we’d like to test and compare our library with NumPy 1.6 and also the upcoming NumPy 1.7 release. -Let’s see what versions of NumPy are available on our known package channels:

-
-
$ conda search —all numpy -
-
-
- 
8 matches found:
-
-   package: numpy-1.7.0rc1   filename: numpy-1.7.0rc1-py27_0.tar.bz2
-       md5: 6342d2aac738f158c4f3bce630b4e829
-
-   package: numpy-1.5.1   filename: numpy-1.5.1-py26_0.tar.bz2
-       md5: e37bf3bd755e40ef1a21c0bc6a493637
-
-   package: numpy-1.6.2   filename: numpy-1.6.2-py26_0.tar.bz2
-       md5: b8324e8695988ef59ef1da1ab1cf255f
-
-   package: numpy-1.5.1   filename: numpy-1.5.1-py27_0.tar.bz2
-       md5: aec83b6d825690a086e2e20d0cec8c38
-
-   package: numpy-1.7.0b2   filename: numpy-1.7.0b2-py26_0.tar.bz2
-       md5: 932892ca2929e04be6ebf548bf5e1e51
-
-   package: numpy-1.7.0b2   filename: numpy-1.7.0b2-py27_0.tar.bz2
-       md5: 467e6f9999dc8680270b625b46700e70
-
-   package: numpy-1.6.2   filename: numpy-1.6.2-py27_0.tar.bz2
-       md5: 1160f777c6b2fb9364bc701323bc6637
-
-   package: numpy-1.7.0rc1   filename: numpy-1.7.0rc1-py26_0.tar.bz2
-       md5: 676a7058df6543116f58d1d15268fe6d
-
- -

-

-

We see there are packages for both versions of NumPy. -Let’s keep things simple and create environments with the anaconda meta-package (which will install lots of packages in one go), but simply specify the version of NumPy we want in each. -Let’s create an environment with NumPy 1.6 (click on the commands to expand their output):

-
-
$ conda create -n np1.6 anaconda numpy=1.6 -
-
-
- 
Package plan for creating environment at /Users/maggie/anaconda/envs/np1.7:
-
-  The following packages will be downloaded:
-
-  anaconda-1.3.0-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  biopython-1.60-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  h5py-2.1.0-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  matplotlib-1.2.0-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  mdp-3.3-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  nltk-2.0.3-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  numba-0.3.2-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  numexpr-2.0.1-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  numpy-1.6.2-py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  pandas-0.10.0-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  pysal-1.4.0-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  pytables-2.4.0-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  scikit-learn-0.11-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  scikits-image-0.6.1-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  scipy-0.11.0-np16py27_1.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-  statsmodels-0.4.3-np16py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/]
-
-  The following packages will be activated:
-
-    package                    |  build
-    -------------------------  |  ---------------
-    anaconda-1.3.0             |       np16py27_0
-    anaconda-launcher-0.0      |           py27_0
-    biopython-1.60             |       np16py27_0
-    bitarray-0.8.0             |           py27_0
-    bitey-0.0                  |           py27_0
-    boto-2.6.0                 |           py27_0
-    conda-1.2.1                |           py27_0
-    cubes-0.10.1               |           py27_0
-    cython-0.17.4              |           py27_0
-    dateutil-1.5               |           py27_0
-    distribute-0.6.30          |           py27_0
-    docutils-0.9.1             |           py27_1
-    flask-0.9                  |           py27_0
-    freetype-2.4.10            |                0
-    gdata-2.0.17               |           py27_0
-    gevent-0.13.7              |           py27_0
-    gevent-websocket-0.3.6     |           py27_1
-    gevent_zeromq-0.2.5        |           py27_1
-    googlecl-0.9.12            |           py27_0
-    greenlet-0.4.0             |           py27_0
-    grin-1.2.1                 |           py27_1
-    h5py-2.1.0                 |       np16py27_0
-    hdf5-1.8.9                 |                0
-    imaging-1.1.7              |           py27_2
-    ipython-0.13.1             |           py27_0
-    jinja2-2.6                 |           py27_0
-    jpeg-8d                    |                0
-    libevent-2.0.20            |                0
-    libpng-1.5.13              |                0
-    llvm-3.1                   |                0
-    llvmpy-0.9                 |           py27_0
-    matplotlib-1.2.0           |       np16py27_0
-    mdp-3.3                    |       np16py27_0
-    meta-0.4.2.dev             |           py27_0
-    networkx-1.7               |           py27_0
-    nltk-2.0.3                 |       np16py27_0
-    nose-1.1.2                 |           py27_0
-    numba-0.3.2                |       np16py27_0
-    numexpr-2.0.1              |       np16py27_0
-    numpy-1.6.2                |           py27_0
-    pandas-0.10.0              |       np16py27_0
-    pip-1.2.1                  |           py27_0
-    ply-3.4                    |           py27_0
-    psutil-0.6.1               |           py27_0
-    py-1.4.12                  |           py27_0
-    pycurl-7.19.0              |           py27_1
-    pyflakes-0.5.0             |           py27_0
-    pygments-1.5               |           py27_0
-    pyparsing-1.5.6            |           py27_0
-    pysal-1.4.0                |       np16py27_0
-    pysam-0.6                  |           py27_0
-    pyside-1.1.2               |           py27_0
-    pytables-2.4.0             |       np16py27_0
-    pytest-2.3.3               |           py27_1
-    python-2.7.3               |                6
-    python.app-1.0             |           py27_1
-    pytz-2012d                 |           py27_0
-    pyyaml-3.10                |           py27_0
-    pyzmq-2.2.0.1              |           py27_0
-    qt-4.7.4                   |                0
-    readline-6.2               |                0
-    requests-0.13.9            |           py27_0
-    scikit-learn-0.11          |       np16py27_0
-    scikits-image-0.6.1        |       np16py27_0
-    scipy-0.11.0               |       np16py27_1
-    shiboken-1.1.2             |           py27_0
-    sphinx-1.1.3               |           py27_2
-    spyder-2.1.11              |           py27_0
-    sqlalchemy-0.7.8           |           py27_0
-    sqlite-3.7.13              |                0
-    statsmodels-0.4.3          |       np16py27_0
-    sympy-0.7.1                |           py27_0
-    tk-8.5.13                  |                0
-    tornado-2.3                |           py27_0
-    werkzeug-0.8.3             |           py27_0
-    yaml-0.1.4                 |                0
-    zeromq-2.2.0               |                0
-    zlib-1.2.7                 |                0
-
-  Proceed (y/n)? y
-
-  Fetching packages...
-
-  nltk-2.0.3-np16py27_0.tar.bz2 100% |###########| Time: 0:00:01 993.52 kB/s
-  mdp-3.3-np16py27_0.tar.bz2 100% |##############| Time: 0:00:01 661.99 kB/s
-  numba-0.3.2-np16py27_0.tar.bz2 100% |##########| Time: 0:00:01 398.22 kB/s
-  statsmodels-0.4.3-np16py27_0.tar.bz2 100% |####| Time: 0:00:05 673.18 kB/s
-  numexpr-2.0.1-np16py27_0.tar.bz2 100% |########| Time: 0:00:00 316.31 kB/s
-  pandas-0.10.0-np16py27_0.tar.bz2 100% |########| Time: 0:00:02 941.69 kB/s
-  h5py-2.1.0-np16py27_0.tar.bz2 100% |###########| Time: 0:00:00   1.20 MB/s
-  matplotlib-1.2.0-np16py27_0.tar.bz2 100% |#####| Time: 0:00:24   1.21 MB/s
-  numpy-1.6.2-py27_0.tar.bz2 100% |##############| Time: 0:00:04 612.51 kB/s
-  pysal-1.4.0-np16py27_0.tar.bz2 100% |##########| Time: 0:00:00   1.26 MB/s
-  scikit-learn-0.11-np16py27_0.tar.bz2 100% |####| Time: 0:00:02 868.27 kB/s
-  biopython-1.60-np16py27_0.tar.bz2 100% |#######| Time: 0:00:02 682.03 kB/s
-  pytables-2.4.0-np16py27_0.tar.bz2 100% |#######| Time: 0:00:01 995.19 kB/s
-  scipy-0.11.0-np16py27_1.tar.bz2 100% |#########| Time: 0:00:11 794.10 kB/s
-  scikits-image-0.6.1-np16py27_0.tar.bz2 100% |##| Time: 0:00:03 885.09 kB/s
-  anaconda-1.3.0-np16py27_0.tar.bz2 100% |#######| Time: 0:00:00   1.74 MB/s
-
-  Activating packages...
-
-  [      COMPLETE      ] |####################################| 100%
-
- -

-

-

And next, let’s create an environment for NumPy 1.7:

-
-
$ conda create -n np1.7 anaconda numpy=1.7 -
-
-
- 
Package plan for creating environment at /Users/maggie/anaconda/envs/np1.6:
-
-  The following packages will be activated:
-
-    package                    |  build
-    -------------------------  |  ---------------
-    anaconda-1.3.0             |       np17py27_0
-    anaconda-launcher-0.0      |           py27_0
-    biopython-1.60             |       np17py27_0
-    bitarray-0.8.0             |           py27_0
-    bitey-0.0                  |           py27_0
-    boto-2.6.0                 |           py27_0
-    chaco-4.2.1.dev            |       np17py27_0
-    conda-1.2.1                |           py27_0
-    cubes-0.10.1               |           py27_0
-    cython-0.17.4              |           py27_0
-    dateutil-1.5               |           py27_0
-    distribute-0.6.30          |           py27_0
-    docutils-0.9.1             |           py27_1
-    flask-0.9                  |           py27_0
-    freetype-2.4.10            |                0
-    gdata-2.0.17               |           py27_0
-    gevent-0.13.7              |           py27_0
-    gevent-websocket-0.3.6     |           py27_1
-    gevent_zeromq-0.2.5        |           py27_1
-    googlecl-0.9.12            |           py27_0
-    greenlet-0.4.0             |           py27_0
-    grin-1.2.1                 |           py27_1
-    h5py-2.1.0                 |       np17py27_0
-    hdf5-1.8.9                 |                0
-    imaging-1.1.7              |           py27_2
-    ipython-0.13.1             |           py27_0
-    jinja2-2.6                 |           py27_0
-    jpeg-8d                    |                0
-    libevent-2.0.20            |                0
-    libpng-1.5.13              |                0
-    llvm-3.1                   |                0
-    llvmpy-0.9                 |           py27_0
-    matplotlib-1.2.0           |       np17py27_0
-    mdp-3.3                    |       np17py27_0
-    meta-0.4.2.dev             |           py27_0
-    networkx-1.7               |           py27_0
-    nltk-2.0.3                 |       np17py27_0
-    nose-1.1.2                 |           py27_0
-    numba-0.3.2                |       np17py27_0
-    numexpr-2.0.1              |       np17py27_0
-    numpy-1.7.0b2              |           py27_0
-    pandas-0.10.0              |       np17py27_0
-    pip-1.2.1                  |           py27_0
-    ply-3.4                    |           py27_0
-    psutil-0.6.1               |           py27_0
-    py-1.4.12                  |           py27_0
-    pyaudio-0.2.6              |           py27_0
-    pycurl-7.19.0              |           py27_1
-    pyflakes-0.5.0             |           py27_0
-    pygments-1.5               |           py27_0
-    pyparsing-1.5.6            |           py27_0
-    pysal-1.4.0                |       np17py27_0
-    pysam-0.6                  |           py27_0
-    pyside-1.1.2               |           py27_0
-    pytables-2.4.0             |       np17py27_0
-    pytest-2.3.3               |           py27_1
-    python-2.7.3               |                6
-    python.app-1.0             |           py27_1
-    pytz-2012d                 |           py27_0
-    pyyaml-3.10                |           py27_0
-    pyzmq-2.2.0.1              |           py27_0
-    qt-4.7.4                   |                0
-    readline-6.2               |                0
-    requests-0.13.9            |           py27_0
-    scikit-learn-0.11          |       np17py27_0
-    scikits-image-0.6.1        |       np17py27_0
-    scipy-0.11.0               |       np17py27_1
-    shiboken-1.1.2             |           py27_0
-    sphinx-1.1.3               |           py27_2
-    spyder-2.1.11              |           py27_0
-    sqlalchemy-0.7.8           |           py27_0
-    sqlite-3.7.13              |                0
-    statsmodels-0.4.3          |       np17py27_0
-    sympy-0.7.1                |           py27_0
-    tk-8.5.13                  |                0
-    tornado-2.3                |           py27_0
-    werkzeug-0.8.3             |           py27_0
-    yaml-0.1.4                 |                0
-    zeromq-2.2.0               |                0
-    zlib-1.2.7                 |                0
-
-  Proceed (y/n)? y
-
-  Activating packages...
-
-  [      COMPLETE      ] |######################################| 100
-
- -

-

-

We can list these new environments using the conda ‘info’ command:

-
$ conda info -e
-  Known Anaconda environments:
-
-      /Users/maggie/anaconda
-      /Users/maggie/anaconda/envs/np1.6
-      /Users/maggie/anaconda/envs/np1.7
-
- -

To use the python version together with all the packages installed in a given environment, simply run the python executable form that environment. -From a bash shell:

-
$ ~/anaconda/envs/myenv/bin/python
-Python 2.7.3 |AnacondaCE 1.3.0 (x86_64)| (default, Jan 10 2013, 12:10:41)
-[GCC 4.0.1 (Apple Inc. build 5493)] on darwin
-Type "help", "copyright", "credits" or "license" for more information.
-
- -

From a Windows command window:

-
> C:\Anaconda\envs\myenv\python.exe
-C:\Windows\system32>c:\Anaconda\envs\test\python.exe
-Python 2.7.3 |Continuum Analytics, Inc.| (default, Jn  7 2013, 09:47:12) [MSC
- v.1500 64 bit (AMD64)] on win32
-Type "help", "copyright", "credits" or "license" for more information.
->>>
-
- -

If we’d like to make one of these environments the “default”, we simply need to set our PATH appropriately. -From a bash shell:

-
$ export PATH=~/anaconda/envs/myenv/bin:$PATH
-
- -

From a Windows command window:

-
> set PATH=C:\Anaconda\envs\myenv\Scripts;%PATH%
-
- -

Sometimes we don’t want to create environments with all the packages that the anaconda meta-package brings in. -Maybe we want to do some testing in a minimal environment, and conda lets us create those, too. -Let’s say we want to create an environment with scikit-learn and its dependencies, but nothing else. -First, let’s see what versions of scikit-learn are available:

-
-
$ conda search —all scikit-learn -
-
-
- 
12 matches found:
-
-package: scikit-learn-0.12.1   filename: scikit-learn-0.12.1-np17py26_0.tar.bz2
-   md5: bdc540f740b57408160edae5b7c30012
-
-package: scikit-learn-0.12.1   filename: scikit-learn-0.12.1-np15py27_0.tar.bz2
-   md5: f23895c6c210ab63693fb044eef99d88
-
-package: scikit-learn-0.11   filename: scikit-learn-0.11-np17py26_0.tar.bz2
-   md5: 01642fb8f83107a62756a63b8d4ac863
-
-package: scikit-learn-0.11   filename: scikit-learn-0.11-np17py27_0.tar.bz2
-   md5: d156473d718378451b7897aacda9f894
-
-package: scikit-learn-0.12.1   filename: scikit-learn-0.12.1-np17py27_0.tar.bz2
-   md5: fb7f0efaa62e9c9abb46931eeeeb36d8
-
-package: scikit-learn-0.11   filename: scikit-learn-0.11-np15py26_0.tar.bz2
-   md5: 541f6dc69d0fe7ecf1c07f794eb4ff6c
-
-package: scikit-learn-0.11   filename: scikit-learn-0.11-np16py26_0.tar.bz2
-   md5: f7f7c7f2adc53713544d85447a8531a0
-
-package: scikit-learn-0.11   filename: scikit-learn-0.11-np16py27_0.tar.bz2
-   md5: 043a8a9de543972e6d4305df7521b6ca
-
-package: scikit-learn-0.11   filename: scikit-learn-0.11-np15py27_0.tar.bz2
-   md5: c69dacca803063e9a9ce4e81902926a7
-
-package: scikit-learn-0.12.1   filename: scikit-learn-0.12.1-np15py26_0.tar.bz2
-   md5: be7ce928967ea0db4b1252dd28fce06a
-
-package: scikit-learn-0.12.1   filename: scikit-learn-0.12.1-np16py26_0.tar.bz2
-   md5: 5bbb9d75a75bf98e259102f6a8c414fe
-
-package: scikit-learn-0.12.1   filename: scikit-learn-0.12.1-np16py27_0.tar.bz2
-   md5: a441f469341eafff8c4940c9ade61182
-
-
- -

-

-

There are quite a few! By default, conda will install the latest compatible version, so we will just do that. -But before we create an environment, let’s take a look at what the dependencies of scikit-learn are:

-
-
$ conda depends scikit-learn -
-
-
- 
scikit-learn depends on the following packages:
-    nose-1.2.1
-    numpy-1.7.0rc1
-    python-2.7.3
-    readline-6.2
-    scipy-0.11.0
-    sqlite-3.7.13
-    tk-8.5.13
-    zlib-1.2.7
-
-
-
-
- -

We don’t need to specify all these dependencies ourselves, we’ll let conda do that work:

-
-
$ conda create -n test scikit-learn -
-
-
- 
Package plan for creating environment at /Users/maggie/anaconda/envs/test:
-
-The following packages will be activated:
-
-    package                    |  build
-    -------------------------  |  ---------------
-    nose-1.2.1                 |           py27_0
-    numpy-1.7.0rc1             |           py27_0
-    python-2.7.3               |                6
-    readline-6.2               |                0
-    scikit-learn-0.12.1        |       np17py27_0
-    scipy-0.11.0               |       np17py27_1
-    sqlite-3.7.13              |                0
-    tk-8.5.13                  |                0
-    zlib-1.2.7                 |                0
-
-Proceed (y/n)? y
-
-Activating packages...
-
-[      COMPLETE      ] |######################################| 100%
-
-
- -

-

-

It got all of the packages itself. Great!

-

Rolling your own packages

-

-The content of this section is outdated. -If you are interested in creating your own packages, you should read - -this newer conda blog post. -

-

Conda allows you to create your own packages, i.e. packages which can be installed using the conda command and added to a conda package repository. -As an example, we demonstrate how to build the pyephem package, create a repository for it, and install it into an existing Anaconda installation on a different system.

-

Whenever a conda package is installed, the information about which files belong to the package is also stored (as part of the conda install metadata in <sys.prefix>/conda-meta/). -Therefore, it is possible to determine which files have been installed into a prefix manually (not using the conda command). -A fresh installation of Anaconda reveals that no such files exist:

-
$ conda package --untracked
-prefix: /home/ilan/a13
- -

After downloading and extracting the pyephem source code, we do:

-
$ python setup.py install
-running install
-running build
-...
-$ conda package --untracked
-prefix: /home/ilan/a13
-lib/python2.7/site-packages/ephem/__init__.py
-lib/python2.7/site-packages/ephem/__init__.pyc
-lib/python2.7/site-packages/ephem/_libastro.so
-...
- -

We can now use the package command to bundle up the untracked files into a conda package:

-
$ conda package --pkg-name=pyephem --pkg-version=3.7.5.1
-prefix: /home/ilan/a13
-Number of files: 76
-pyephem-3.7.5.1-py27_0.tar.bz2 created successfully
- -

Note that conda is not limited to creating Python packages, you can basically install any type of package into the prefix and bundle it into a conda package, e.g. using ./configure --prefix=/home/ilan/a13; make; make install.

-

All of the above (including retrieving the pyephem source code) can be done using conda pip pyephem, which basically calls out to pip to do the source installation and then creates the conda package.

-

Creating your own package repository

-

Having successfully created a conda package, we now want to create a repository, such that others can easily install pyephem into their Anaconda installation. -A conda repository is simply a directory of conda packages plus a conda index file. -So, we create a new directory with the newly created conda package, and run:

-
$ conda index
-updating index in: /home/ilan/conda-repo/linux-64
-updating: pyephem-3.7.5.1-py27_0.tar.bz2
-$ ls -l
-total 896
--rw-r--r-- 1 ilan users 908801 Jan 24 17:24 pyephem-3.7.5.1-py27_0.tar.bz2
--rw-r--r-- 1 ilan users    313 Jan 24 17:37 repodata.json
--rw-r--r-- 1 ilan users    230 Jan 24 17:37 repodata.json.bz2
-
- -

The file repodata.json.bz2 is used by the conda install command to detect which packages are available in a given conda repository. -We now make this repository available over HTTP, and tell people who wish to access the repository to add it to their ~/.condarc file. -When we serve the above directory on http://localhost/conda-repo/linux-64/, the following URL needs to be added to the ~/.condarc file:

-
channels:
-  - http://localhost/conda-repo
-
- -

Note that the channel URL does not include the platform specific sub-directory (this way the same configuration file may be shared across platforms). -Now we can install the pyephem package into another Anaconda system:

-
$ conda install pyephem
-Package plan for installation in environment /home/ilan/a121:
-The following packages will be downloaded:
-
-    pyephem-3.7.5.1-py27_0.tar.bz2 [http://localhost/conda-repo/linux-64/]
-
-The following packages will be activated:
-
-    package                    |  build
-    -------------------------  |  ---------------
-    pyephem-3.7.5.1            |           py27_0
-
-Proceed (y/n)? y
-...
-$ python
-Python 2.7.3 |Anaconda 1.3.0 (64-bit)| (default, Jan 22 2013, 14:14:25)
-[GCC 4.1.2 20080704 (Red Hat 4.1.2-52)] on linux2
-Type "help", "copyright", "credits" or "license" for more information.
->>> import ephem
->>> mars = ephem.Mars()
->>> mars.compute('2008/1/1')
->>> print mars.ra, mars.dec
-5:59:27.35 26:56:27.4
-
- -

It installed the package, and it appears to be working. -We should mention that this package was built for 64-bit Linux and will not work on other systems, such as 32-bit Linux, MacOSX or Windows, as it contains platform specific C extensions which are linked (during import time) to the Python process.

-

Future directions

-

A standard refrain regarding package management in python is that it is “an active topic.” -In fact, there are some recent enhancement proposals covering related areas, including: Package Metadata (PEP 345), Package DataBases (PEP 376), Standardized Package Version Numbers (PEP 386) and the Wheel PEP (PEP 427). -As it happens, some of the ideas in these PEPs are already reflected within conda. -We intend to watch the evolution and development of these proposals to make conda compatible and interoperable with whatever standard comes out of the enhancement process.

-

We should also note that conda were created originally to solve problems we had on linux backend platforms. -However, we quickly realized that it could be valuable on Windows platforms as well. -Conda already works well in Windows, but there are still a few areas where it could behave more like native Windows applications. -Improving Windows integration is another priority for us.

-

You can check out conda in action at Wakari, or by installing Anaconda. You can also follow and contribute to conda development at the conda GitHub page.

Tags: - - - conda - - - - - - - -
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e=b.Collection.extend({model:d,initialize:function(a,c){b.Collection.prototype.initialize.apply(this,arguments),this.thread=c&&c.thread}});return e}),define("core/collections/UpvotersUserCollection",["underscore","backbone","core/api","core/collections/UserCollection"],function(a,b,c,d){"use strict";var e=d.extend({LIMIT:50,url:function(){return c.getURL("posts/listUsersVotedPost")},initialize:function(a,b){this.postId=b.postId,this.threadId=b.threadId},fetch:function(c){return b.Collection.prototype.fetch.call(this,a.extend({data:{post:this.postId,thread:this.threadId,vote:1,limit:this.LIMIT}},c))}});return e}),define("core/models/Vote",["backbone"],function(a){"use strict";var b=a.Model.extend({defaults:{score:0}});return b}),define("core/collections/VoteCollection",["backbone","core/models/Vote"],function(a,b){"use strict";var c=a.Collection.extend({model:b});return c}),define("core/models/Post",["jquery","underscore","backbone","moment","core/api","core/strings","core/time","core/utils","core/advice","core/models/mixins","core/models/User","core/collections/UserCollection","core/collections/UpvotersUserCollection","core/collections/VoteCollection"],function(a,b,c,d,e,f,g,h,i,j,k,l,m,n){"use strict";var o=1e3,p=0,q=function(){var b=a.now();return o>b-p?!1:(p=b,!0)},r=f.get,s=c.Model.extend({upvotersCollectionClass:m,defaults:function(){return{createdAt:d().format(g.ISO_8601),dislikes:0,isApproved:!0,isDeleted:!1,isEdited:!1,isFlagged:!1,isFlaggedByUser:!1,isHighlighted:!1,isRealtime:!1,isImmediateReply:!1,isMinimized:null,hasMedia:!1,message:null,raw_message:null,likes:0,media:[],parent:null,points:0,depth:0,userScore:0}},initialize:function(){this.votes=new n},messageText:function(){var a=this.get("message");return h.strip(a)},relatedIds:function(){var a=this.get("forum");b.isObject(a)&&(a=a.id);var c=this.get("thread");return b.isObject(c)&&(c=c.id),{forum:a,thread:c,post:this.id}},permalink:function(a,b){var c=this.id;if(!c||!a)return"";var d=b!==!1&&a.currentUrl||a.permalink(),e=document.createElement("a");return e.href=d,e.hash="#comment-"+c,e.href},twitterText:function(a){var b=140,c=this.author.get("name")||this.author.get("username");b-=c.length+3,b-=a.length+1,b-=2;var d=h.niceTruncate(this.messageText(),b);return'"'+d+'" — '+c},toJSON:function(a){var b=c.Model.prototype.toJSON.call(this);if(a){var d=a.session,e=a.thread;b.canBeEdited=this.canBeEdited(d,e),b.canBeRepliedTo=this.canBeRepliedTo(d,e),b.canBeShared=this.canBeShared(),b.permalink=this.permalink(e)}return b.isMinimized=this.isMinimized(),b.relativeCreatedAt=this.getRelativeCreatedAt(),b.formattedCreatedAt=this.getFormattedCreatedAt(),b.cid=this.cid,b},isPublic:function(){return this.get("isHighlighted")||this.get("isSponsored")?!0:this.get("isDeleted")?!1:this.get("isApproved")},isMinimized:function(){return this.get("isHighlighted")?!1:this.get("isMinimized")===!1?!1:!this.get("isApproved")},isAuthorSessionUser:function(){return!1},canBeEdited:function(){return!1},canBeRepliedTo:function(){return!1},canBeShared:function(){return!1},validate:function(c){if(!this.id&&!c.id){if(b.isString(c.raw_message)){if(""===c.raw_message)return r("Comments can't be blank.");if(c.raw_message.length<2)return r("Comments must have at least 2 characters.")}return c.author_email&&(c.author_email=a.trim(c.author_email)),c.author_name&&(c.author_name=a.trim(c.author_name)),""===c.author_email&&""===c.author_name?r("Please sign in or enter a name and email address."):""===c.author_email||""===c.author_name?r("Please enter both a name and email address."):b.isString(c.author_email)&&!this.validateEmail(c.author_email)?r("Invalid email address format."):void 0}},validateEmail:function(a){return h.validateEmail(a)},report:function(){this.set("isFlagged",!0),e.call("posts/report.json",{data:{post:this.id},method:"POST"})},_highlight:function(a){this.set("isHighlighted",a),e.call("posts/"+(a?"highlight":"unhighlight")+".json",{data:{post:this.id},method:"POST"})},highlight:function(){this._highlight(!0)},unhighlight:function(){this._highlight(!1)},getThreadId:function(){return this.get("thread")},getUpvotersUserCollection:b.memoize(function(){var a=this.upvotersCollectionClass;return new a(void 0,{postId:this.id,threadId:this.getThreadId()})},function(){return this.id}),_vote:function(a,b,c){var d=a-b,e={likes:this.get("likes"),dislikes:this.get("dislikes"),points:this.get("points")};return 0===d?d:(a>0?(e.likes+=a,e.dislikes+=b):0>a?(e.dislikes-=a,e.likes-=b):b>0?e.likes-=b:e.dislikes+=b,e.points+=d,c&&this.getUpvotersUserCollection()[a>0?"add":"remove"](c),this.set(e),d)},vote:function(a){if(!q())return 0;var b=this,c=b._vote(a,b.get("userScore"));0!==c&&(b.set("userScore",a),e.call("posts/vote.json",{data:{post:b.id,vote:a},method:"POST",success:function(c){b.votes.add({id:c.response.id,score:a},{merge:!0})}}))},_delete:function(){return this.set({isApproved:!1,isDeleted:!0}),e.call("posts/remove.json",{data:{post:this.id},method:"POST"})},spam:function(){this.set({isApproved:!1,isDeleted:!0,isSpam:!0}),this.trigger("spam"),e.call("posts/spam.json",{data:{post:this.id},method:"POST"})},_create:function(a,b){var c=this,d=a.attributes,f={thread:d.thread,message:d.raw_message};return d.parent&&(f.parent=d.parent),d.author_name&&(f.author_name=d.author_name,f.author_email=d.author_email),e.call("posts/create.json",{data:f,method:"POST",success:function(a){c.set(a.response),b.success&&b.success()},error:b.error})},_update:function(a,b){var c=this,d=a.attributes,f={post:d.id,message:d.raw_message};return e.call("posts/update.json",{data:f,method:"POST",success:function(a){c.set(a.response),b.success&&b.success()},error:b.error})},_read:function(a,b){var c=this;return b=b||{},e.call("posts/details.json",{data:{post:c.id},method:"GET",success:function(a){c.set(a.response),b.success&&b.success()},error:b.error})},sync:function(a,b,c){c=c||{};var d=c.error;switch(d&&(c.error=function(a){d(JSON.parse(a.responseText||"{}"))}),a){case"create":return this._create(b,c);case"update":return this._update(b,c);case"delete":return this._delete();case"read":return this._read(b,c)}}},{formatMessage:function(){var a=/(?:\r\n|\r|\n){2,}/,c=/\r\n|\r|\n/;return function(d){var e=b.chain(d.split(a)).compact().value(),f=b.map(e,function(a){return b.chain(a.split(c)).compact().map(b.escape).join("
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"}}()});return j.withCreatedAt.call(s.prototype),i.withAdvice.call(s.prototype),s.withAuthor=function(a){this.after("set",function(b){b&&"string"!=typeof b&&b.author&&(this.author=new a(b.author),delete b.author)}),this.around("toJSON",function(a){var c=a.apply(this,b.rest(arguments));return this.author&&(c.author=this.author.toJSON()),c})},s.withMediaCollection=function(a){this.after("set",function(c){c&&"string"!=typeof c&&(b.isUndefined(c.media)||(this.media?this.media.reset(c.media):this.media=new a(c.media),delete c.media))}),this.around("toJSON",function(a){var c=a.apply(this,b.rest(arguments));return this.media&&(c.media=this.media.toJSON()),c})},s}),define("core/models/LegacyMedia",["backbone"],function(a){"use strict";var b=a.Model.extend({defaults:{type:null,location:"",metadata:{}}});return b}),define("core/models/RichMedia",["backbone"],function(a){"use strict";var b=a.Model.extend({idAttribute:"url",defaults:{mediaType:null,html:"",htmlWidth:null,htmlHeight:null,thumbnailUrl:"",thumbnailWidth:null,thumbnailHeight:null,url:"",resolvedUrl:"",title:"",description:"",providerName:""}});return b}),define("core/models/Media",["underscore","backbone","core/models/LegacyMedia","core/models/RichMedia"],function(a,b,c,d){"use strict";var e=b.Model.extend(a.extend({},d.prototype,c.prototype,{idAttribute:"id"}),{MEDIA_TYPES:{IMAGE:"1",IMAGE_UPLOAD:"2",YOUTUBE_VIDEO:"3",WEBPAGE:"4",TWITTER_STATUS:"5",FACEBOOK_PAGE:"6",FACEBOOK_POST:"7",FACEBOOK_PHOTO:"8",FACEBOOK_VIDEO:"9",SOUNDCLOUD_SOUND:"10",GOOGLE_MAP:"11",VIMEO_VIDEO:"12",VINE_VIDEO:"14"},WEBPAGE_TYPES:["4","6","7"]});return e}),define("core/models/Thread",["underscore","backbone","core/utils","core/api","core/config","core/advice","core/models/User"],function(a,b,c,d,e,f,g){"use strict";var h=b.Model.extend({defaults:{author:null,category:null,createdAt:null,forum:null,identifiers:[],ipAddress:null,isClosed:!1,isDeleted:!1,hasStreaming:!1,link:null,message:null,slug:null,title:null,userSubscription:!1,posts:0,likes:0,dislikes:0,userScore:0},initialize:function(a,b){var c=this;b=b||{},c.moderators=b.moderators,c.forum=b.forum,c.on("change:userScore",function(){var a=c.get("userScore");a>0&&0===c.get("likes")&&c.set("likes",a)})},_vote:function(a,b){var c=a-b;return 0===c?c:(this.set("likes",this.get("likes")+c),c)},vote:function(a){var b=this,c=b._vote(a,b.get("userScore"));0!==c&&(this.set("userScore",a),d.call("threads/vote.json",{data:{thread:this.id,vote:a},method:"POST",success:function(a){a.response.id&&b.trigger("vote:success",a)}}))},fetch:function(a){var b,c=this,f=c.attributes;a=a||{},b=f.identifier?"ident:"+f.identifier:"link:"+f.url,d.call("threads/details.json",{data:{thread:b,forum:f.forum},success:function(b){c.set(b.response),a.success&&a.success()},error:function(){return e.debug?void c.save({},{success:a.success}):void console.log("Couldn't find thread; not creating in production.")}})},_toggleState:function(a,b){b||(b={});var c=a?"open.json":"close.json";this.set("isClosed",!a),d.call("threads/"+c,{method:"POST",data:{thread:this.id},success:b.success,error:b.error})},open:function(a){this._toggleState(!0,a)},close:function(a){this._toggleState(!1,a)},sync:function(){var a=this,b=a.attributes;d.call("threads/create.json",{data:{title:b.title,forum:b.forum,identifier:b.identifier,url:b.url},method:"POST",success:function(b){a.set(b.response)}})},incrementPostCount:function(a){var b=this.get("posts")+a;this.set("posts",b>0?b:0)},isModerator:function(b){var c;if(this.moderators)return c=b instanceof g||a.isObject(b)?b.id:b,c=parseInt(c,10),a(this.moderators).contains(c)},subscribe:function(a,b){a=a!==!1;var c=this.get("userSubscription");if(c!==a){a?this.set("userSubscription",b||!0):this.set("userSubscription",!1);var e=a?"subscribe.json":"unsubscribe.json",f={thread:this.id};b?f.email=b:a||"string"!=typeof c||(f.email=c),d.call("threads/"+e,{data:f,method:"POST"})}},relatedIds:function(){var b=this.get("forum");return a.isObject(b)&&(b=b.id),{forum:this.get("forum"),thread:this.id}},twitterText:function(a){var b=140-(a.length+1),d=c.htmlDecode(this.get("title"));return d=c.niceTruncate(d,b)},permalink:function(){return this.get("url")||this.get("link")||this.currentUrl},toJSON:function(){var a=b.Model.prototype.toJSON.call(this);return a.permalink=this.permalink(),a}});return f.withAdvice.call(h.prototype),h.withThreadVoteCollection=function(a){this.after("initialize",function(){this.votes=new a,this.on("vote:success",function(a){this.votes.get(a.response.id)||this.votes.add({id:a.response.id,score:a.response.score})},this)})},h.withPostCollection=function(b){this.after("initialize",function(c){c=c||{},this.posts=new b(c.posts,{thread:this,cursor:c.postCursor,order:c.order,perPage:this.postsPerPage}),this.listenTo(this.posts,"add reset",function(b){b=b.models?b.models:[b],this.users&&a.each(b,function(a){this.users.get(a.author.id)||this.users.add(a.author)}),this.recalculatePostCount()}),this.listenTo(this.posts,"change:isDeleted change:isFlagged",function(a,b){b&&this.incrementPostCount(-1)})}),this.recalculatePostCount=function(){var a=this.get("posts");a>50||(a=this.posts.reduce(function(a,b){return b.isPublic()?a+1:a},0),this.set("posts",a))}},h}),define("core/models/ThreadVote",["backbone"],function(a){"use strict";var b=a.Model.extend({defaults:{score:0}});return b}),define("core/models/Notification",["underscore","backbone","moment","core/models/mixins","core/models/Post"],function(a,b,c,d,e){"use strict";var f=b.Model.extend({defaults:function(){return{sender:"",timestamp:c().valueOf(),type:0,formatted:"",theme:"",createdAt:null,post:null}},set:function(a,c){return a&&"string"!=typeof a&&a.post&&(this.post=new e(a.post),delete a.post),b.Model.prototype.set.call(this,a,c)},toJSON:function(){var a=b.Model.prototype.toJSON.call(this);return this.post&&(a.post=this.post.toJSON()),a.relativeCreatedAt=this.getRelativeCreatedAt(),a}});return d.withCreatedAt.call(f.prototype),f}),define("core/collections/MediaCollection",["backbone","core/models/Media"],function(a,b){"use strict";var c=a.Collection.extend({model:b});return c}),function(a,b){if("function"==typeof define&&define.amd)define("backbone.uniquemodel",["backbone"],function(a){a.UniqueModel=b(a)});else if("undefined"!=typeof exports){var c=require("backbone");c.UniqueModel=b(c)}else a.Backbone.UniqueModel=b(a.Backbone)}(this,function(a){"use strict";function b(a,c,d){c=c||_.uniqueId("UniqueModel_"),d=d||b.STORAGE_DEFAULT_ADAPTER;var e=b.addModel(a,c,d);return e.modelConstructor}function c(b,c,e){var f=this;this.instances={},this.Model=b,this.modelName=c,this.storage=null,"localStorage"===e?this.storage=new d(this.modelName,localStorage):"sessionStorage"===e&&(this.storage=new d(this.modelName,sessionStorage)),this.storage&&(this.storage.on("sync",this.storageSync,this),this.storage.on("destroy",this.storageDestroy,this));var g=function(a,b){return f.get(a,b)};_.extend(g,a.Events),g.prototype=this.Model.prototype,this.modelConstructor=g}function d(a,b){this.modelName=a,this.store=b,d.instances[a]=this,d.listener||(d.listener=window.addEventListener?window.addEventListener("storage",d.onStorage,!1):window.attachEvent("onstorage",d.onStorage))}var e={};return b.STORAGE_DEFAULT_ADAPTER="memory",b.STORAGE_KEY_DELIMETER=".",b.STORAGE_NAMESPACE="UniqueModel",b.getModelCache=function(a){var b=e[a];if(!b)throw"Unrecognized model: "+a;return b},b.addModel=function(a,b,d){if(e[b])return e[b];var f=new c(a,b,d);return e[b]=f,f},b.clear=function(){for(var a in e)e.hasOwnProperty(a)&&delete e[a]},_.extend(c.prototype,{newModel:function(a,b){var c=new this.Model(a,b);return this.storage&&(c.id&&this.storage.save(c.id,c.attributes),c.on("sync",this.instanceSync,this),c.on("destroy",this.instanceDestroy,this)),c},instanceSync:function(a){this.storage&&this.storage.save(a.id,a.attributes)},instanceDestroy:function(a){this.storage&&this.storage.remove(a.id)},storageSync:function(a,b){this.get(b,{fromStorage:!0})},storageDestroy:function(a){var b=this.instances[a];b&&(b.trigger("destroy",b),delete this.instances[a])},add:function(a,b,c){var d=this.newModel(b,c);return this.instances[a]=d,d},get:function(a,b){b=b||{};var c=this.Model,d=a&&a[c.prototype.idAttribute];if(!d)return this.newModel(a,b);var e=this.instances[d];if(this.storage&&!b.fromStorage&&!e){var f=this.storage.getFromStorage(this.storage.getStorageKey(d));f&&(e=this.add(d,f,b))}return e?(e.set(a),b.fromStorage||this.instanceSync(e)):(e=this.add(d,a,b),b.fromStorage&&this.modelConstructor.trigger("uniquemodel.add",e)),e}}),d.instances={},d.listener=null,d.onStorage=function(a){var c=a.key,e=new RegExp([b.STORAGE_NAMESPACE,"(\\w+)","(.+)"].join("\\"+b.STORAGE_KEY_DELIMETER)),f=c.match(e);if(f){var g=f[1],h=f[2],i=d.instances[g];i&&i.handleStorageEvent(c,h)}},_.extend(d.prototype,{handleStorageEvent:function(a,b){var c=this.getFromStorage(a);c?this.trigger("sync",b,c):this.trigger("destroy",b)},getFromStorage:function(a){try{return JSON.parse(this.store.getItem(a))}catch(b){return}},getStorageKey:function(a){var c=[b.STORAGE_NAMESPACE,this.modelName,a].join(b.STORAGE_KEY_DELIMETER);return c},save:function(a,b){if(!a)throw"Cannot save without id";var c=JSON.stringify(b);this.store.setItem(this.getStorageKey(a),c)},remove:function(a){if(!a)throw"Cannot remove without id";this.store.removeItem(this.getStorageKey(a))}},a.Events),_.extend(b,{ModelCache:c,StorageAdapter:d}),b}),define("common/models",["require","jquery","underscore","backbone","moment","modernizr","core/api","core/models/User","core/models/Post","core/models/Media","core/models/LegacyMedia","core/models/RichMedia","core/models/Thread","core/models/Vote","core/models/ThreadVote","core/models/Notification","core/collections/MediaCollection","core/utils/guid","common/utils","core/utils","common/urls","shared/corefuncs","shared/urls","backbone.uniquemodel"],function(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w){"use strict";function x(a,b,c){var d=x.pool(a),e=b&&b[a.prototype.idAttribute];if(!e)return new a(b,c);var f=x.get(a,e);return f?d[e].set(b):d[e]=new a(b,c),d[e]}x.pool={},x.pool=function(a){var b=x.pool[a.__type__];if(!b)throw new Error("Model not registered. Use UniqueModel.addType");return b},x.get=function(a,b){return x.pool(a)[b]},x.addType=function(a,b){b.__type__&&x.pool[a]||(b.__type__=a,x.pool[a]={})},x.wrap=function(a){var b=c.partial(x,a);return b.prototype=a.prototype,b};var y=d.Model.extend({defaults:{settings:{}},toJSON:function(){return c.extend(d.Model.prototype.toJSON.apply(this,arguments),{homeUrl:w.apps.home+"home/forums/"+this.id+"/"})}}),z=m.extend({initialize:function(b,d){m.prototype.initialize.apply(this,arguments),d=d||{};var e=this,f=a("common/collections");e.users=new f.UserCollection(d.users,{thread:e}),e.forum&&(e.moderatorList=new f.ModeratorCollection(null,{forum:e.forum.get("id")})),e.posts=new f.SubpaginatedPostCollection(d.posts,{thread:e,cursor:d.postCursor,order:d.order,perPage:t.isMobileUserAgent()?20:50}),e.votes=new f.ThreadVoteCollection,e.posts.on("add reset",function(a){a=a.models?a.models:[a],c.each(a,function(a){e.users.get(a.author.id)||e.users.add(a.author)}),e.recalculatePostCount()}),e.listenTo(e.posts,"change:isDeleted change:isFlagged",function(a,b){b&&e.incrementPostCount(-1)}),e.queue=new f.QueuedPostCollection(null,{thread:e})},recalculatePostCount:function(){var a=this.get("posts");a>50||(a=this.posts.buffer.reduce(function(a,b){return b.isPublic()?a+1:a},0),this.set("posts",a))},toJSON:function(){return c.extend(m.prototype.toJSON.apply(this,arguments),{homeUrl:w.apps.home+"home/discussions/"+this.relatedIds().forum+"/"+this.get("slug")+"/"})}}),A=z.extend({defaults:c.extend({postsInInterval:0,posts:0,topPost:null},z.prototype.defaults)}),B=i.extend({initialize:function(){i.prototype.initialize.apply(this,arguments);var b=a("common/collections");this.usersTyping=new b.TypingUserCollection},isAuthorSessionUser:function(a){return a.user.id&&this.author&&this.author.id?this.author.id===a.user.id:!1},canBeEdited:function(a,b){return!b.get("isClosed")&&!this.get("isDeleted")&&a.isLoggedIn()&&this.isAuthorSessionUser(a)&&this.get("raw_message")&&!this.get("isHighlighted")&&!this.get("isSponsored")},canBeRepliedTo:function(a,b){var c=a.get("canReply")&&this.get("isSponsored");return c||!b.get("isClosed")&&a.get("canReply")&&!this.get("isDeleted")&&(this.get("isApproved")||b.isModerator(a.user))},canBeShared:function(){return!this.get("isDeleted")&&!this.get("isSponsored")},getParent:function(){var a=this.get("parent");if(a)return new x(B,{id:a+""})}},{fetchContext:function(a,d,e){e=e||{};var f=b.Deferred();return g.call("posts/getContext.json",{method:"GET",data:{post:a},success:function(a){var b=c.filter(a.response,function(a){return a.thread===d.get("id")});return b?(c.each(b,function(a){a=new x(B,a),e.requestedByPermalink&&(a.requestedByPermalink=!0),d.posts.add(a)}),void f.resolve(b)):void f.reject()}}),f.promise()}});i.withAuthor.call(B.prototype,x.wrap(h)),i.withMediaCollection.call(B.prototype,q),x.addType("Post",B);var C=d.Model.extend({defaults:{user:null,message:null,parentId:null,immedReply:!1,createdAt:void 0},getVisibleParent:function(a){for(var b,c=this;c.get("parentId");){if(b=a.posts.get(c.get("parentId")))return b;if(c=a.queue.get(c.get("parentId")),!c)return null}return null},toPost:function(a){var b=this,c=a.posts.get(b.get("parentId")),d=c?c.get("depth")+1:0,e=new x(B,{id:b.id,thread:a.id,message:b.get("message"),parent:b.get("parentId"),depth:d,createdAt:b.get("createdAt"),isRealtime:!0,media:b.get("media"),isImmediateReply:b.get("immedReply")});return e.author=b.get("user"),e}}),D=d.Model.extend({defaults:{user:null,post:null,thread:null,client_context:null,typing:!0},idAttribute:"client_context",set:function(){return this.lastModified=new Date,d.Model.prototype.set.apply(this,arguments)},sync:function(){var a=this.toJSON(),b=v.serialize(u.realertime+"/api/typing",a);try{s.CORS.request("GET",b).send()}catch(c){}}},{make:function(a){return a.client_context||(a.client_context=r.generate()),new x(D,a)}});x.addType("TypingUser",D),c.extend(h.prototype,{getFollowing:function(){var b=a("common/collections/profile");return this.following||(this.following=new b.FollowingCollection(null,{user:this}))}}),x.addType("User",h);var E=h.extend({defaults:c.extend({numPosts:0},h.prototype.defaults)}),F=f.sessionstorage?"sessionStorage":null,G=d.UniqueModel(h,"User",F),H=d.UniqueModel(E,"User",F),I=d.Model.extend({});return{UniqueModel:x,Forum:y,Thread:z,TopThread:A,Post:B,QueuedPost:C,TypingUser:D,User:h,TopUser:E,Vote:n,ThreadVote:o,Notification:p,Switch:I,LegacyMedia:k,RichMedia:l,Media:j,SyncedUser:G,SyncedTopUser:H} -}),define("common/Session",["jquery","underscore","backbone","modernizr","core/api","core/bus","core/models/Session","core/strings","core/utils/cookies","common/collections/LoggedOutNotifications","common/models","common/urls","common/utils","shared/corefuncs"],function(a,b,c,d,e,f,g,h,i,j,k,l,m,n){"use strict";var o,p=c.Model.extend({storageKey:"disqus.bus",initialize:function(){d.localstorage&&a(window).on("storage",b.bind(this.onStorageEvent,this))},broadcast:function(a,b){if(d.localstorage){var c=JSON.stringify({name:a,data:b,time:(new Date).getTime()});try{window.localStorage.setItem(this.storageKey,c)}catch(e){return}}},onStorageEvent:function(a){var b=a.originalEvent.key,c=a.originalEvent.newValue;if(c&&b===this.storageKey)try{c=JSON.parse(c),this.trigger(c.name,c.data)}catch(d){return}}}),q=new p,r=g.extend({defaults:{canReply:!0,canAdminister:!1,canModerate:!1,mustVerifyEmail:!1,isReadOnly:!1,audienceSyncVerified:!1,notificationCount:0,sso:null},windowOpen:function(a,b,c){m.windowOpen(a,"_blank",{width:b,height:c})},start:function(a){this.set(a),this.listenTo(q,"auth:success",this.fetch),this.listenTo(f.frame,{"!auth:success":function(a){a&&(a.sessionId&&e.headers({"X-Sessionid":a.sessionId}),a.message&&this.trigger("alert",a.message,{type:"info"}),a.logEvent&&f.trigger("uiAction:"+a.logEvent)),q.broadcast("auth:success"),this.fetch()}}),this.bindAudienceSyncHandlers()},stop:function(){this.stopListening(),this.off()},shouldFetchSession:function(){return this.get("remoteAuthS3")||i.read("disqusauth")},getUserInstance:function(a){return new k.UniqueModel(k.User,a)},toJSON:function(){var a=this.user.toJSON.apply(this.user,arguments);return a.thread.canReply=this.get("canReply"),a.thread.canModerate||(a.thread.canModerate=this.get("canModerate")),a.logoutUrl=this.getLogoutUrl(),a},fetch:function(){return this.has("thread")?this.fetchThreadDetails(this.get("thread")):g.prototype.fetch.apply(this,arguments)},fetchThreadDetails:function(a){var c=this;c._request&&(c._request.abort(),c._request=null);var d={thread:a.id,post:a.posts.pluck("id")};return d["_"+(new Date).getTime()]=1,c._request=e.call("embed/threadDetails.json",{data:d,success:function(d){var e=d.response,f={};e.user&&b.extend(f,e.user,{votes:e.votes}),c.set(e.session),f.id?(c.setUser(new k.UniqueModel(k.User,f)),a.users.add(c.user),e.thread&&(a.set("userScore",e.thread.userScore),a.set("userSubscription",e.thread.userSubscription))):c.setUser(c.getAnonUserInstance())},complete:function(){c._request=null}}),c._request},getLogoutUrl:function(){var a=this.get("sso");return this.isSSO()&&a&&a.logout?a.logout:l.logout},isSSO:function(){return this.user&&"sso"===this.user.get("user_type")},authenticate:function(a){var c=this.authServices[a];if(c){if(b.isFunction(c))return c.call(this);f.trigger("uiAction:openLogin",a);var d={forum:this.get("thread")&&this.get("thread").forum.id};"https:"===window.location.protocol&&(d.redirect_secure=1),c.csrf&&(d.ctkn=this.getCsrfToken()),b.extend(d,c.params),this.windowOpen(n.serialize(c.url,d),c.width,c.height)}},authServices:{disqus:{url:l.login,width:460,height:355},disqusDotcom:{url:l.dotcomLogin,width:478,height:590,params:{next:l.login}},twitter:{url:l.oauth.twitter,width:650,height:680,csrf:!0},facebook:{url:l.oauth.facebook,width:550,height:300,csrf:!0},google:{url:l.oauth.google,width:650,height:440,csrf:!0},sso:function(){var a=this.get("sso"),c=parseInt(a.width||"800",10),d=parseInt(a.height||"500",10),e=window.open(a.url,"_blank","width="+c+",height="+d);!function g(){m.isWindowClosed(e)?f.frame.sendHostMessage("reload"):b.delay(g,500)}()}},verifyEmail:function(){var a=n.serialize(l.verifyEmail,{f:this.get("thread").forum.id});window.open(a,"_blank","width=460,height=355")},bindAudienceSyncHandlers:function(){this.listenTo(this,"change:id change:audienceSyncVerified",function(){this.get("audienceSyncVerified")&&f.frame.sendHostMessage("session.identify",this.user.id)}),this.listenTo(f.frame,{"!audiencesync:grant":function(){this.set("audienceSyncVerified",!0)}})},getAudienceSyncUrl:function(){var a={client_id:this.get("apiKey"),response_type:"audiencesync",forum_id:this.get("thread").forum.id};return"https:"===window.location.protocol&&(a.ssl=1),n.serialize(l.authorize,a)},audienceSync:function(){this.windowOpen(this.getAudienceSyncUrl(),460,355)},needsAudienceSyncAuth:function(a){return a.get("settings").audienceSyncEnabled&&this.isLoggedIn()&&!this.get("audienceSyncVerified")},getLoggedOutNotes:function(){return this._loggedOutNotes?this._loggedOutNotes:(this._loggedOutNotes=new j.Collection(j.LOGGED_OUT_NOTES,{session:this}),this._loggedOutNotes)}});return{get:function(){return o=o||new r},setDefaults:function(a){if(o)throw new Error("Session defaults cannot be changed after a session instance is created!");return r.defaults=b.extend(r.prototype.defaults,a),r.defaults},forget:function(){o&&(o.stop(),o=null)}}}),define("common/analytics/google",["require","common/keys","common/defines"],function(a,b,c){"use strict";var d,e=function(a){d=a},f=function(a){d?d(a):window._gaq.push(a)},g=function(){var d="";if(!c.debug||d){var e="https:"===window.location.protocol?"https://ssl":"http://www",f=e+".google-analytics.com/"+(d?"u/ga_debug":"ga")+".js";l(b.googleAnalytics),m(".disqus.com"),a([f])}},h={component:1,"package":2,forum:3,version:4,userType:5},i=function(a,b){f(["_setCustomVar",h[a],a,b])},j=function(){f(["_trackPageview"])},k=function(a,b,c){f(["_trackEvent",b,a,c,1])},l=function(a){f(["_setAccount",a])},m=function(a){f(["_setDomainName",a])};return 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.nav-tabs li { - cursor: pointer; - display: inline-block; - width: 188px; - height: 140px; } - .nav-tabs li a { - font-size: 100%; - width: 100%; - height: 100%; - margin: 0; - padding: 0; - border: none; } - .nav-tabs li a h4 { - -webkit-border-radius: 0px 0px 5px 5px; - -moz-border-radius: 0px 0px 5px 5px; - -ms-border-radius: 0px 0px 5px 5px; - -o-border-radius: 0px 0px 5px 5px; - border-radius: 0px 0px 5px 5px; - display: inline-block; - width: 99%; - height: 18px; - padding: 8px 0; - color: #02213d; - border: 1px solid transparent; - font-size: 20px; - font-weight: 400; - text-align: center; } - .nav-tabs li a h5 { - -ms-filter: "progid:DXImageTransform.Microsoft.Alpha(Opacity=$IEargs)"; - filter: alpha(opacity=50); - -moz-opacity: 0.5; - opacity: 0.5; - color: #36383a; - background-color: rgba(255, 255, 255, 0.46); - font-size: 12px; - font-weight: 400; - text-align: left; - text-transform: uppercase; - display: block; - height: 73px; - padding: 15px 10px 15px 20px; } - .nav-tabs li:hover a { - background: transparent; } - .nav-tabs li:hover a h4 { - border: 1px solid #ccd1da; - background: #eeeeee; } - .nav-tabs li.active h4 { - background: #02213d; - color: #ffffff; } - .nav-tabs li.active:hover h4 { - background: #02213d; - color: #ffffff; - border: 1px solid transparent; } - .nav-tabs li.active a { - border: none !important; } - .nav-tabs li:hover a { - border: none !important; } - -/* Our Customers */ -.our_customers { - padding: 0 40px 0 65px; - height: 85px; } - .our_customers div.first { - float: left; - padding: 27px 0 0 0; } - .our_customers div.first h6 { - font-size: 165%; - font-weight: 300; } - .our_customers div.first h6 span { - display: block; - font-size: 82%; - line-height: 1.5em; - -ms-filter: "progid:DXImageTransform.Microsoft.Alpha(Opacity=$IEargs)"; - filter: alpha(opacity=60); - -moz-opacity: 0.6; - opacity: 0.6; } - .our_customers div.customer_images { - float: right; - margin: 40px 35px 0 0; - position: relative; } - .our_customers div.customer_images > img, .our_customers div.customer_images > a { - float: left; } - .our_customers div.customer_images img.linkedIn { - width: 130px; - height: 33px; } - .our_customers div.customer_images img.boeing { - margin-top: -5px; - padding: 0 13px 0 30px; } - .our_customers div.customer_images img.nasa { - margin-top: -10px; - padding: 0 25px 0 15px; - width: 65px; - height: 53px; } - .our_customers a { - color: transparent; - font-size: 0; - display: block; - width: 29px; - height: 68px; - margin: -20px 0 0 25px; - background: url(/media/img/Customers-Arrow.png) center center no-repeat; } - .our_customers a:hover { - -ms-filter: "progid:DXImageTransform.Microsoft.Alpha(Opacity=$IEargs)"; - filter: alpha(opacity=50); - -moz-opacity: 0.5; - opacity: 0.5; } - -/* News, Blog, Events */ -.info { - padding-left: 40px; } - -.info_span { - width: 47%; } - -.rss-box { - height: 270px; } - -.rss-item { - font-size: 18px; - line-height: 22px; - padding-bottom: 20px; } - -.mailchimp { - background-color: #f0f0f0; - height: 80px; - padding: 20px 10px 10px 20px; - margin-bottom: 60px; } - -#mc_embed_signup { - background: #fff; - clear: left; - font: 14px; } - #mc_embed_signup form input#email, #mc_embed_signup form input.dnd { - display: none !important; } - -/* Events */ -.event_table { - margin-bottom: 10px; } - .event_table > tbody > tr > td { - border: 2px solid #e8ebef; } - .event_table tr { - height: 96px; } - -.event_date_td { - width: 50px; - background-color: #f0f0f0; - text-align: center; - padding: 20px 10px 20px 10px; } - -.event_detail_td { - width: 340px; - padding: 10px 0 10px 10px; } - .event_detail_td > p { - margin: 0 0 0 0; } - .event_detail_td > p.class { - margin: 0 0 5px 0; } - .event_detail_td a { - font-size: 15px; - line-height: 1.8em; - display: inline-block; } - -/*Twitter Feed */ -#jstwitter { - text-align: left; - padding-left: 5px; } - -/* Defines Calendar icons */ -.calendar { - clear: both; - margin-left: 5px; - width: 50px; - height: 50px; - margin-top: 5px; - margin-bottom: 5px; - font-size: 1.2em; - background: #eee; - border: 1px solid; - margin-right: 10px; - -webkit-border-radius: 5px; - -moz-border-radius: 5px; - border-radius: 5px; - box-shadow: 0 0 5px #05587e; - -moz-box-shadow: 0 0 5px #05587e; - -webkit-box-shadow: 0 0 5px #05587e; } - .calendar > span { - display: block; } - .calendar > .month { - text-align: center; - padding: 2px 2px 2px 0; - background: #6086a6; - color: #fff; - font-weight: bold; - -webkit-border-top-left-radius: 5px; - -moz-border-radius-topleft: 5px; - -webkit-border-top-right-radius: 5px; - -moz-border-radius-topright: 5px; - border-top-left-radius: 5px; - border-top-right-radius: 5px; - text-shadow: 0 1px #000; - background: -webkit-gradient(linear, left top, left bottom, from(#acc0d1), to(#6086a6)); - background: -moz-linear-gradient(top, #acc0d1, #6086a6); } - .calendar > .day { - text-align: center; - padding-top: 5px; - font-weight: bold; - font-size: 1.2em; - background: #fff; - -webkit-border-bottom-left-radius: 5px; - -moz-border-radius-bottomleft: 5px; - -webkit-border-bottom-right-radius: 5px; - -moz-border-radius-bottomright: 5px; - text-shadow: 0 1px #fff; - background: -webkit-gradient(linear, left top, left bottom, from(#405b72), to(#e6e6e6), color-stop(0.08, #f9f9f9)); - background: -moz-linear-gradient(top, #f9f9f9, #e6e6e6); } - -.course { - overflow: visible; - margin-top: 12px; } - -.course_links { - text-decoration: underline; - color: #f26c4f; } - .course_links:hover { - text-decoration: none; - color: #f26c4f; } - -.calendar_link { - clear: both; - margin-left: 0px; - margin-top: 20px; } - -/* Information Form */ -.form_standard { - margin-top: 20px; - width: 300px; - height: 386px; - background: url(/media/img/form_background.png) center top no-repeat; } - -form a:hover { - color: #9eb7d7; } - -.input-small { - width: 108px; } - -.field_padding { - margin-top: 10px; - margin-right: 5px; } - -.last_name { - width: 108px; } - -.email { - width: 235px; } - -textarea { - height: 78px; - width: 235px; } - -/* Turns off default table hover color change */ -.table tbody tr:hover td, .table tbody tr:hover th { - background-color: inherit; } - -.table-striped tbody tr:nth-child(odd):hover td, .table-striped tbody tr:nth-child(odd):hover th { - background-color: #f9f9f9; } - -.align_center { - text-align: center; - vertical-align: middle; } - -.splash_page #all a { - padding: 8px 5px; - font-size: 16px; - margin-right: 10px; } - -.open_source em { - font-size: 1.3em; - font-weight: 300; - line-height: 1.8em; } -.open_source h3 { - font-weight: 400; } -.open_source td > p { - font-size: 1.4em; - color: #e5e8ed; - line-height: 1.7em; - font-weight: 300; } -.open_source td > a { - color: #96bee2; } - .open_source td > a:hover { - color: #FFFFFF; } - -.callout { - display: block; - height: 90px; - width: 407px; - overflow: hidden; - background: transparent url("/media/img/binstar-banner.png") 0 0 no-repeat; - color: #fff; - text-align: center; - text-transform: uppercase; - padding: 19px 0 0 0; } - -#anaconda_server .binstar_callout { - font-size: 49%; - clear: both; } - -#anaconda_cluster .callout { - font-size: 49%; - display: inline-block; } -#anaconda_cluster .squeeze img { - margin-top: -25px; } - -.dual-button { - width: 680px; - margin: 0 auto; } - .dual-button:after { - content: " "; - height: 0; - display: block; - clear: both; } - .dual-button btn { - float: left; } - .dual-button btn h2 { - line-height: inherit; } - .dual-button btn + btn { - float: right; } - .dual-button btn + btn a { - background-color: #efefef; - *background-color: #757584; - background-image: -ms-linear-gradient(top, #efefef, #757584); - background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#efefef), to(#757584)); - background-image: -webkit-linear-gradient(top, #efefef, #757584); - background-image: -o-linear-gradient(top, #efefef, #757584); - background-image: -moz-linear-gradient(top, #efefef, #757584); - background-image: linear-gradient(top, #efefef, #757584); - background-repeat: repeat-x; - border-color: #51a351 #51a351 #387038; - border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25); - filter: progid:dximagetransform.microsoft.gradient(startColorstr='#$topColor', endColorstr='$bottomColor', GradientType=0); - filter: progid:dximagetransform.microsoft.gradient(enabled=false); - filter: progid:dximagetransform.microsoft.gradient(enabled=false); } - .dual-button btn + btn a:hover { - background-color: #757584; } - -.anaconda_server > img { - vertical-align: middle; } - -#anaconda_addons #accelerate .squeeze { - background: url("/media/img/addons_icon_accelerate.png") no-repeat 0 15px; } -#anaconda_addons #iopro .squeeze { - background: url("/media/img/addons_icon_iopro.png") no-repeat 0 15px; } -#anaconda_addons #mkl .squeeze { - background: url("/media/img/addons_icon_mkl.png") no-repeat 0 15px; } -#anaconda_addons #open-source .squeeze { - background: url("/media/img/addons_icon_open_source.png") no-repeat 0 15px; } -#anaconda_addons #enterprise-sales .squeeze { - background: url("/media/img/addons_icons_enterprise_sales.png") no-repeat 0 15px; } -#anaconda_addons .feature { - padding: 55px 40px; } -#anaconda_addons .squeeze { - width: 670px; - padding-left: 190px; } - #anaconda_addons .squeeze > div { - float: left; - width: 70%; - padding-right: 4%; } - #anaconda_addons .squeeze > div h2 { - font-size: 2.0em; - color: #0088cc; - font-weight: 600; - font-size: 2.0em; } - #anaconda_addons .squeeze > div h2 a { - font-size: 100%; - color: #0088cc; - font-weight: 600; } - #anaconda_addons .squeeze > div h3 { - color: #6a6e74; - font-size: 1.7em; - font-style: italic; - font-weight: 300; - line-height: 1.2em; - padding: 10px 0 8px 0; } - #anaconda_addons .squeeze > div h4 { - font-size: 1.3em; - padding: 15px 0 8px; } - #anaconda_addons .squeeze div + div { - width: 120px; - min-height: 95px; - padding: 40px 25px; - border: 1px solid #ccd2db; - background: #dee3ea; - text-align: center; } - #anaconda_addons .squeeze div + div h4 { - color: #6a6e74; - font-family: "Lato", sans-serif; - letter-spacing: 0em; - font-size: 2.2em; - font-weight: 400; - line-height: 1em; - text-indent: -5px; - padding: 0 0 10px 0; } - #anaconda_addons .squeeze div + div h4 + btn { - margin: 10px auto 0 auto; - height: auto; } - #anaconda_addons .squeeze div + div btn { - width: 110px; - height: 42px; - display: block; } - #anaconda_addons .squeeze div + div btn + btn { - margin: 10px auto 0 auto; - height: auto; } - #anaconda_addons .squeeze div + div btn.tall a { - height: auto; } - #anaconda_addons .squeeze div + div btn a { - display: block; - height: 32px; - line-height: 32px; } - #anaconda_addons .squeeze div + div btn.donate a { - height: auto; } - -#open_source .feature { - padding: 55px 40px; } -#open_source .squeeze img.logo { - width: 40px; - float: left; - margin: 5px 10px 0 0; } -#open_source .squeeze h2 { - font-size: 200%; - font-weight: 500; - float: left; } - #open_source .squeeze h2 a { - color: #333333; } -#open_source .squeeze p { - font-size: 1.5em; - font-style: italic; - padding: 0; - margin: 0 0 8px 0; } -#open_source .squeeze a.learnMore { - font-size: 16px; } - -.span4.open_source h2 { - padding: 0 0 15px 0; - font-size: 170%; - font-weight: 500; - line-height: 1.0em; } - .span4.open_source h2 + ul { - list-style-position: inside; } - -.supported { - border: 1px solid #c5ced2; - -webkit-border-radius: 5px; - -moz-border-radius: 5px; - -ms-border-radius: 5px; - -o-border-radius: 5px; - border-radius: 5px; - text-align: center; - padding: 15px 10px; - margin: 20px 0; } - .supported p { - line-height: 1.7em; - margin: 0 0 10px 0; } - .supported img + a { - display: block; - font-size: 120%; - font-weight: 600; } - -.darken { - background-color: rgba(7, 55, 99, 0.1); - width: 100%; - vertical-align: middle; - margin: 0 auto; } - -.lighten { - margin: 0 auto; - width: 100%; - vertical-align: middle; } - -.feature { - vertical-align: middle; - margin: 0 auto; - padding: 90px 40px; - width: 940px; } - .feature > div > div > p { - font-size: 1.3em; - line-height: 1.5em; - display: inline-block; - color: #6a6e74; } - .feature > div > div > h3 { - font-size: 1.5em; - line-height: 1.5em; - display: inline-block; } - -.squeeze { - width: 860px; - margin: 0 auto; } - -.video h1 { - margin: 40px 0 20px 0; } -.video h2 { - margin: 20px 0 0 0; } -.video p { - padding-bottom: 20px; } -.video ul { - list-style-type: none; } - -/** HOME PAGE BANNERS **/ -.tab-pane .container a.btn { - display: inline-block; - height: 36px; - line-height: 36px; - font-size: 150%; - font-weight: 400; } - -.tab-content .tab-pane { - background: url("/media/img/Default-bannerbg.png") no-repeat center; } - .tab-content .tab-pane#anaconda { - background: url("/media/img/AnServ-bannerbg.png") no-repeat center; } - .tab-content .tab-pane#anaconda .container { - height: 435px; - padding: 65px 0 0 0; - background: transparent url("/media/img/anaconda_server.png") 592px 85px no-repeat; } - .tab-content .tab-pane#anaconda .container img { - float: left; - margin-right: 20px; } - .tab-content .tab-pane#anaconda .container h1, .tab-content .tab-pane#anaconda .container h2, .tab-content .tab-pane#anaconda .container h3 { - color: #fff; } - .tab-content .tab-pane#anaconda .container h1 { - float: left; - font-size: 384.61538%; - font-weight: 500; - padding: 20px 0 0 2px; } - .tab-content .tab-pane#anaconda .container h1 span { - font-weight: 300; - text-shadow: 4px 4px 8px #02213d; } - .tab-content .tab-pane#anaconda .container h2 { - clear: both; - font-size: 269.23077%; - line-height: 1.3em; - width: 475px; - padding: 15px 0 0 0; } - .tab-content .tab-pane#anaconda .container h3 { - font-size: 169.23077%; - font-style: italic; - font-weight: 300; - line-height: 1.3em; - width: 515px; - padding: 20px 0 22px 0; } - .tab-content .tab-pane#anaconda .container a.btn { - width: 300px; - color: #FFFFFF; - margin: 0 0 0 310px; } - .tab-content .tab-pane#anaconda .container p { - text-align: center; - font-size: 1.3em; - font-weight: 300; - padding: 20px 0 0 0; } - .tab-content .tab-pane#anaconda .container p a { - padding-left: 5px; - color: #5bb75b; } - .tab-content .tab-pane#anaconda .container ul { - list-style-position: inside; - margin-left: 20px; } - .tab-content .tab-pane#anaconda .container ul li { - line-height: 1.2em; } - .tab-content .tab-pane#anaconda .features { - font-weight: 300; } - .tab-content .tab-pane#anaconda p { - font-weight: 300; - color: #99ccff; } - .tab-content .tab-pane#wakari .container { - height: 425px; - padding: 75px 0 0 0; - background: url("/media/img/wakari-screenshot.png") 375px 75px no-repeat; } - .tab-content .tab-pane#wakari .container img { - height: 60px; - margin: 0 0 5px 70px; - float: left; } - .tab-content .tab-pane#wakari .container h1 { - font-weight: 400; - font-size: 400%; - float: left; - padding: 10px 0 0 0; } - .tab-content .tab-pane#wakari .container h2 { - clear: both; - font-size: 269.23077%; - line-height: 1.2em; - width: 375px; - padding: 10px 0 20px 0; - margin: 0; } - .tab-content .tab-pane#wakari .container h4 { - width: 300px; - font-size: 130.76923%; - font-style: italic; - font-weight: 300; - line-height: 1.3em; - padding: 0 0 20px 0; - margin: 0 0 0 50px; } - .tab-content .tab-pane#wakari .container a.btn { - width: 310px; - margin: 0 0 0 25px; } - .tab-content .tab-pane#training { - background: url("/media/img/Training-bannerbg.png") no-repeat center; } - .tab-content .tab-pane#training .container { - height: 465px; - padding: 35px 0 0 0; } - .tab-content .tab-pane#training .container h1 { - color: #fff; - font-size: 500%; - font-weight: 500; - line-height: 1.3; - text-shadow: 4px 4px 8px #02213d; } - .tab-content .tab-pane#training .container h1 span { - font-weight: 300; } - .tab-content .tab-pane#training .container h2 { - font-size: 300%; - font-weight: 300; - line-height: 1.3em; - width: 680px; } - .tab-content .tab-pane#training .container .training_offers { - width: 600px; - margin: 28px auto 15px auto; } - .tab-content .tab-pane#training .container .training_offers:after { - content: ""; - display: block; - clear: both; } - .tab-content .tab-pane#training .container .training_offers > div { - float: left; - height: 105px; - width: 200px; - text-align: center; } - .tab-content .tab-pane#training .container .training_offers h3 { - font-size: 138.46154%; - font-style: italic; - font-weight: 300; - line-height: 1.55em; - padding: 0 60px; } - .tab-content .tab-pane#training .container .training_offers h3.first { - padding: 0 40px; } - .tab-content .tab-pane#training .container a.btn { - width: 240px; - height: 30px; - line-height: 30px; - clear: both; - margin: 0 0 0 340px; } - .tab-content .tab-pane#consulting .container { - height: 480px; - padding: 20px 0 0 0; } - .tab-content .tab-pane#consulting .container h1 { - font-size: 400%; - font-weight: 400; - line-height: 1.3em; - text-shadow: 4px 4px 8px #02213d; } - .tab-content .tab-pane#consulting .container h2 { - font-size: 300%; - font-weight: 300; - line-height: 1.3em; - text-shadow: 4px 4px 8px #02213d; } - .tab-content .tab-pane#consulting .container .consulting_offers { - padding: 20px 0 20px 0; - width: 780px; - margin: 0 auto; } - .tab-content .tab-pane#consulting .container .consulting_offers img { - margin: 0 10px; } - .tab-content .tab-pane#consulting .container h3 { - font-size: 176.92308%; - font-style: italic; - font-weight: 300; - text-shadow: 4px 4px 8px #02213d; - margin: 5px 0 25px 0; } - .tab-content .tab-pane#consulting .container a.btn { - margin: 0 0 0 310px; - font-size: 146.15385%; - width: 300px; - height: 36px; } - .tab-content .tab-pane#open-source .container { - height: 475px; - padding: 25px 0 0 0; - text-align: center; } - .tab-content .tab-pane#open-source .container > img { - margin-left: 280px; - float: left; } - .tab-content .tab-pane#open-source .container h1 { - float: left; - font-size: 400%; - text-shadow: 4px 4px 8px #02213d; - font-weight: 400; - margin: 0; - padding: 16px 0 0 0; } - .tab-content .tab-pane#open-source .container table { - font-family: "Lato", sans-serif; - letter-spacing: 0em; - float: left; } - .tab-content .tab-pane#open-source .container table th, .tab-content .tab-pane#open-source .container table td.project { - color: #e5e8ed; - font-size: 1.4em; - font-weight: 300; } - .tab-content .tab-pane#open-source .container table th { - height: 35px; - text-align: left; - text-indent: 100px; } - .tab-content .tab-pane#open-source .container table tr.bokeh img { - height: 20px; - margin-right: 7px; } - .tab-content .tab-pane#open-source .container table tr.blaze img { - height: 25px; - margin-right: 5px; } - .tab-content .tab-pane#open-source .container table tr.numpy img, .tab-content .tab-pane#open-source .container table tr.scipy img { - height: 20px; - margin-right: 5px; } - .tab-content .tab-pane#open-source .container table tr.pytables img { - height: 25px; - margin-right: 5px; } - .tab-content .tab-pane#open-source .container table tr.sympy img { - height: 30px; - margin-right: 5px; } - .tab-content .tab-pane#open-source .container table td { - font-size: 1.3em; - font-style: italic; - text-align: left; - white-space: nowrap; - height: 37px; } - .tab-content .tab-pane#open-source .container table td a { - color: #96bee2; - text-decoration: none; } - .tab-content .tab-pane#open-source .container table td a:hover { - text-decoration: underline; } - .tab-content .tab-pane#open-source .container table td.project { - font-style: normal; - text-align: right; - width: 120px; - padding: 0 12px 0 0; } - .tab-content .tab-pane#open-source .container table.our-projects { - clear: both; - width: 370px; - margin: 10px 0 20px 20px; } - .tab-content .tab-pane#open-source .container table.other-projects { - float: left; - width: 420px; - margin: 10px 0 20px 95px; } - .tab-content .tab-pane#open-source .container 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img { - max-width: 70px; } - .sc14 .learn_more h1 { - text-align: center; - padding-top: 0; - margin: 0 auto 15px auto; } - -.conda_for_R { - padding-bottom: 50px; } - .conda_for_R .blog_content { - position: relative; - margin: 0 auto; - width: 940px; } - .conda_for_R .primary { - padding: 0 20px 0 0; } - .conda_for_R .primary h2 { - font-size: 26px; - font-weight: 600; - text-transform: uppercase; } - .conda_for_R .primary h2.stand-alone { - margin: 15px 0 20px 0; } - .conda_for_R .primary h3 { - color: #737272; - font-weight: 400; - margin: 20px 0 15px 0; } - .conda_for_R .primary a.btn-success { - width: 250px; - padding: 10px 0; - margin-bottom: 25px; - text-transform: uppercase; - box-shadow: 3px 3px 2px rgba(0, 0, 0, 0.4); - -moz-box-shadow: 3px 3px 2px rgba(0, 0, 0, 0.4); - -webkit-box-shadow: 3px 3px 2px rgba(0, 0, 0, 0.4); } - .conda_for_R .primary a.btn-success h2 { - color: #FFFFFF; - font-size: 1.5em; } \ No newline at end of file diff --git a/REREFENCE_CONTENT/conda_vs_pyenv/Python Packages and Environments with conda_files/date.js b/REREFENCE_CONTENT/conda_vs_pyenv/Python Packages and Environments with conda_files/date.js deleted file mode 100644 index 77f4986..0000000 --- a/REREFENCE_CONTENT/conda_vs_pyenv/Python Packages and Environments with conda_files/date.js +++ /dev/null @@ -1,104 +0,0 @@ -/** - * Version: 1.0 Alpha-1 - * Build Date: 13-Nov-2007 - * Copyright (c) 2006-2007, Coolite Inc. (http://www.coolite.com/). All rights reserved. - * License: Licensed under The MIT License. See license.txt and http://www.datejs.com/license/. - * Website: http://www.datejs.com/ or http://www.coolite.com/datejs/ - */ -Date.CultureInfo={name:"en-US",englishName:"English (United States)",nativeName:"English (United States)",dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],abbreviatedDayNames:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],shortestDayNames:["Su","Mo","Tu","We","Th","Fr","Sa"],firstLetterDayNames:["S","M","T","W","T","F","S"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],abbreviatedMonthNames:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],amDesignator:"AM",pmDesignator:"PM",firstDayOfWeek:0,twoDigitYearMax:2029,dateElementOrder:"mdy",formatPatterns:{shortDate:"M/d/yyyy",longDate:"dddd, MMMM dd, yyyy",shortTime:"h:mm tt",longTime:"h:mm:ss tt",fullDateTime:"dddd, MMMM dd, yyyy h:mm:ss tt",sortableDateTime:"yyyy-MM-ddTHH:mm:ss",universalSortableDateTime:"yyyy-MM-dd HH:mm:ssZ",rfc1123:"ddd, dd MMM yyyy HH:mm:ss GMT",monthDay:"MMMM dd",yearMonth:"MMMM, yyyy"},regexPatterns:{jan:/^jan(uary)?/i,feb:/^feb(ruary)?/i,mar:/^mar(ch)?/i,apr:/^apr(il)?/i,may:/^may/i,jun:/^jun(e)?/i,jul:/^jul(y)?/i,aug:/^aug(ust)?/i,sep:/^sep(t(ember)?)?/i,oct:/^oct(ober)?/i,nov:/^nov(ember)?/i,dec:/^dec(ember)?/i,sun:/^su(n(day)?)?/i,mon:/^mo(n(day)?)?/i,tue:/^tu(e(s(day)?)?)?/i,wed:/^we(d(nesday)?)?/i,thu:/^th(u(r(s(day)?)?)?)?/i,fri:/^fr(i(day)?)?/i,sat:/^sa(t(urday)?)?/i,future:/^next/i,past:/^last|past|prev(ious)?/i,add:/^(\+|after|from)/i,subtract:/^(\-|before|ago)/i,yesterday:/^yesterday/i,today:/^t(oday)?/i,tomorrow:/^tomorrow/i,now:/^n(ow)?/i,millisecond:/^ms|milli(second)?s?/i,second:/^sec(ond)?s?/i,minute:/^min(ute)?s?/i,hour:/^h(ou)?rs?/i,week:/^w(ee)?k/i,month:/^m(o(nth)?s?)?/i,day:/^d(ays?)?/i,year:/^y((ea)?rs?)?/i,shortMeridian:/^(a|p)/i,longMeridian:/^(a\.?m?\.?|p\.?m?\.?)/i,timezone:/^((e(s|d)t|c(s|d)t|m(s|d)t|p(s|d)t)|((gmt)?\s*(\+|\-)\s*\d\d\d\d?)|gmt)/i,ordinalSuffix:/^\s*(st|nd|rd|th)/i,timeContext:/^\s*(\:|a|p)/i},abbreviatedTimeZoneStandard:{GMT:"-000",EST:"-0400",CST:"-0500",MST:"-0600",PST:"-0700"},abbreviatedTimeZoneDST:{GMT:"-000",EDT:"-0500",CDT:"-0600",MDT:"-0700",PDT:"-0800"}}; -Date.getMonthNumberFromName=function(name){var n=Date.CultureInfo.monthNames,m=Date.CultureInfo.abbreviatedMonthNames,s=name.toLowerCase();for(var i=0;idate)?1:(this=start.getTime()&&t<=end.getTime();};Date.prototype.addMilliseconds=function(value){this.setMilliseconds(this.getMilliseconds()+value);return this;};Date.prototype.addSeconds=function(value){return this.addMilliseconds(value*1000);};Date.prototype.addMinutes=function(value){return this.addMilliseconds(value*60000);};Date.prototype.addHours=function(value){return this.addMilliseconds(value*3600000);};Date.prototype.addDays=function(value){return this.addMilliseconds(value*86400000);};Date.prototype.addWeeks=function(value){return this.addMilliseconds(value*604800000);};Date.prototype.addMonths=function(value){var n=this.getDate();this.setDate(1);this.setMonth(this.getMonth()+value);this.setDate(Math.min(n,this.getDaysInMonth()));return this;};Date.prototype.addYears=function(value){return this.addMonths(value*12);};Date.prototype.add=function(config){if(typeof config=="number"){this._orient=config;return this;} -var x=config;if(x.millisecond||x.milliseconds){this.addMilliseconds(x.millisecond||x.milliseconds);} -if(x.second||x.seconds){this.addSeconds(x.second||x.seconds);} -if(x.minute||x.minutes){this.addMinutes(x.minute||x.minutes);} -if(x.hour||x.hours){this.addHours(x.hour||x.hours);} -if(x.month||x.months){this.addMonths(x.month||x.months);} -if(x.year||x.years){this.addYears(x.year||x.years);} -if(x.day||x.days){this.addDays(x.day||x.days);} -return this;};Date._validate=function(value,min,max,name){if(typeof value!="number"){throw new TypeError(value+" is not a Number.");}else if(valuemax){throw new RangeError(value+" is not a valid value for "+name+".");} -return true;};Date.validateMillisecond=function(n){return Date._validate(n,0,999,"milliseconds");};Date.validateSecond=function(n){return Date._validate(n,0,59,"seconds");};Date.validateMinute=function(n){return Date._validate(n,0,59,"minutes");};Date.validateHour=function(n){return Date._validate(n,0,23,"hours");};Date.validateDay=function(n,year,month){return Date._validate(n,1,Date.getDaysInMonth(year,month),"days");};Date.validateMonth=function(n){return Date._validate(n,0,11,"months");};Date.validateYear=function(n){return Date._validate(n,1,9999,"seconds");};Date.prototype.set=function(config){var x=config;if(!x.millisecond&&x.millisecond!==0){x.millisecond=-1;} -if(!x.second&&x.second!==0){x.second=-1;} -if(!x.minute&&x.minute!==0){x.minute=-1;} -if(!x.hour&&x.hour!==0){x.hour=-1;} -if(!x.day&&x.day!==0){x.day=-1;} -if(!x.month&&x.month!==0){x.month=-1;} -if(!x.year&&x.year!==0){x.year=-1;} -if(x.millisecond!=-1&&Date.validateMillisecond(x.millisecond)){this.addMilliseconds(x.millisecond-this.getMilliseconds());} -if(x.second!=-1&&Date.validateSecond(x.second)){this.addSeconds(x.second-this.getSeconds());} -if(x.minute!=-1&&Date.validateMinute(x.minute)){this.addMinutes(x.minute-this.getMinutes());} -if(x.hour!=-1&&Date.validateHour(x.hour)){this.addHours(x.hour-this.getHours());} -if(x.month!==-1&&Date.validateMonth(x.month)){this.addMonths(x.month-this.getMonth());} -if(x.year!=-1&&Date.validateYear(x.year)){this.addYears(x.year-this.getFullYear());} -if(x.day!=-1&&Date.validateDay(x.day,this.getFullYear(),this.getMonth())){this.addDays(x.day-this.getDate());} -if(x.timezone){this.setTimezone(x.timezone);} -if(x.timezoneOffset){this.setTimezoneOffset(x.timezoneOffset);} -return this;};Date.prototype.clearTime=function(){this.setHours(0);this.setMinutes(0);this.setSeconds(0);this.setMilliseconds(0);return this;};Date.prototype.isLeapYear=function(){var y=this.getFullYear();return(((y%4===0)&&(y%100!==0))||(y%400===0));};Date.prototype.isWeekday=function(){return!(this.is().sat()||this.is().sun());};Date.prototype.getDaysInMonth=function(){return Date.getDaysInMonth(this.getFullYear(),this.getMonth());};Date.prototype.moveToFirstDayOfMonth=function(){return this.set({day:1});};Date.prototype.moveToLastDayOfMonth=function(){return this.set({day:this.getDaysInMonth()});};Date.prototype.moveToDayOfWeek=function(day,orient){var diff=(day-this.getDay()+7*(orient||+1))%7;return this.addDays((diff===0)?diff+=7*(orient||+1):diff);};Date.prototype.moveToMonth=function(month,orient){var diff=(month-this.getMonth()+12*(orient||+1))%12;return this.addMonths((diff===0)?diff+=12*(orient||+1):diff);};Date.prototype.getDayOfYear=function(){return Math.floor((this-new Date(this.getFullYear(),0,1))/86400000);};Date.prototype.getWeekOfYear=function(firstDayOfWeek){var y=this.getFullYear(),m=this.getMonth(),d=this.getDate();var dow=firstDayOfWeek||Date.CultureInfo.firstDayOfWeek;var offset=7+1-new Date(y,0,1).getDay();if(offset==8){offset=1;} -var daynum=((Date.UTC(y,m,d,0,0,0)-Date.UTC(y,0,1,0,0,0))/86400000)+1;var w=Math.floor((daynum-offset+7)/7);if(w===dow){y--;var prevOffset=7+1-new Date(y,0,1).getDay();if(prevOffset==2||prevOffset==8){w=53;}else{w=52;}} -return w;};Date.prototype.isDST=function(){console.log('isDST');return this.toString().match(/(E|C|M|P)(S|D)T/)[2]=="D";};Date.prototype.getTimezone=function(){return Date.getTimezoneAbbreviation(this.getUTCOffset,this.isDST());};Date.prototype.setTimezoneOffset=function(s){var here=this.getTimezoneOffset(),there=Number(s)*-6/10;this.addMinutes(there-here);return this;};Date.prototype.setTimezone=function(s){return this.setTimezoneOffset(Date.getTimezoneOffset(s));};Date.prototype.getUTCOffset=function(){var n=this.getTimezoneOffset()*-10/6,r;if(n<0){r=(n-10000).toString();return r[0]+r.substr(2);}else{r=(n+10000).toString();return"+"+r.substr(1);}};Date.prototype.getDayName=function(abbrev){return abbrev?Date.CultureInfo.abbreviatedDayNames[this.getDay()]:Date.CultureInfo.dayNames[this.getDay()];};Date.prototype.getMonthName=function(abbrev){return abbrev?Date.CultureInfo.abbreviatedMonthNames[this.getMonth()]:Date.CultureInfo.monthNames[this.getMonth()];};Date.prototype._toString=Date.prototype.toString;Date.prototype.toString=function(format){var self=this;var p=function p(s){return(s.toString().length==1)?"0"+s:s;};return format?format.replace(/dd?d?d?|MM?M?M?|yy?y?y?|hh?|HH?|mm?|ss?|tt?|zz?z?/g,function(format){switch(format){case"hh":return p(self.getHours()<13?self.getHours():(self.getHours()-12));case"h":return self.getHours()<13?self.getHours():(self.getHours()-12);case"HH":return p(self.getHours());case"H":return self.getHours();case"mm":return p(self.getMinutes());case"m":return self.getMinutes();case"ss":return p(self.getSeconds());case"s":return self.getSeconds();case"yyyy":return self.getFullYear();case"yy":return self.getFullYear().toString().substring(2,4);case"dddd":return self.getDayName();case"ddd":return self.getDayName(true);case"dd":return p(self.getDate());case"d":return self.getDate().toString();case"MMMM":return self.getMonthName();case"MMM":return self.getMonthName(true);case"MM":return p((self.getMonth()+1));case"M":return self.getMonth()+1;case"t":return self.getHours()<12?Date.CultureInfo.amDesignator.substring(0,1):Date.CultureInfo.pmDesignator.substring(0,1);case"tt":return self.getHours()<12?Date.CultureInfo.amDesignator:Date.CultureInfo.pmDesignator;case"zzz":case"zz":case"z":return"";}}):this._toString();}; -Date.now=function(){return new Date();};Date.today=function(){return Date.now().clearTime();};Date.prototype._orient=+1;Date.prototype.next=function(){this._orient=+1;return this;};Date.prototype.last=Date.prototype.prev=Date.prototype.previous=function(){this._orient=-1;return this;};Date.prototype._is=false;Date.prototype.is=function(){this._is=true;return 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j=c[0],k=j;if("block"!==c.css("display"))for(;k.parentNode&&(k=k.parentNode,"block"!==b(k).css("display")););var l=parseFloat(c.css("font-size"),10);if(f()){d=d||{};var m,n=d.lines||1,o=d.ellipsis,p=c.text();if(p.length){var q=c.width()/l,r=parseInt(q*n,10),s=p.split(/\s/),t=0;c.empty();for(var u=0,v=s.length;v>u&&(t+=s[u].length+1,!(t>=r));u++)j.appendChild(document.createTextNode(" "+s[u]));if(f()){do m=j.removeChild(j.lastChild);while(f())}else{do m=j.appendChild(document.createTextNode(" "+s[u++]));while(!f()&&v>u);j.removeChild(m)}o&&(a.isString(o)||(o="…"),g())}}}},m=function(b){function c(a,b){return a+b}var d,e,f=a.keys(b),g=Math.floor(a.reduce(b,c,0)/2),h=f.length+1,i=g+1,j=new Array(h);for(d=0;h>d;d++)j[d]=new Array(i),j[d][0]={};for(e=1;i>e;e++)j[0][e]=!1;var k,l,m,n={};for(e=1;i>e;e++)for(d=1;h>d;d++)k=f[d-1],l=b[k],m=a.clone(j[d-1][e]),!m&&e>=l&&(m=a.clone(j[d-1][e-l]),m&&(m[k]=l,n=m)),j[d][e]=m;return[n,a.omit(b,a.keys(n))]},n=["product","zone","service","experiment","variant"],o=function(b){b=b||"";var c=a.object(n,b.split(":"));return{bin:b,experiment:c.experiment||"",variant:c.variant||""}};return{generateVariantConfig:d,config:g,looksAdblocked:h,log:i,allowLog:j,allowLineTruncate:k,lineTruncate:l,balancedPartition:m,binToEventParams:o}}),define("discovery/models",["underscore","backbone","moment","core/analytics/identity","common/models","core/time","shared/corefuncs"],function(a,b,c,d,e,f,g){"use strict";var h=function(a){var b=a.prototype;return a.extend({defaults:{redirectUrl:null,signedUrl:null,userId:null,sourceThreadId:null,forumId:null,forum:null,majorVersion:null,requestBin:null},redirectPayload:function(){var a={url:this.get("signedUrl"),imp:d.impression.impId,prev_imp:d.impression.prevImp,forum_id:this.get("forumId"),forum:this.get("forum"),thread_id:this.get("sourceThreadId"),major_version:this.get("majorVersion")};return this.has("requestBin")&&(a.bin=this.get("requestBin")),this.has("userId")&&(a.user_id=this.get("userId")),a},redirectUrl:function(){var a=this.get("redirectUrl"),b=this.redirectPayload();return g.serialize(a,b)},toJSON:function(){var a=b.toJSON.call(this);return a.redirectUrl=this.redirectUrl(),a},toString:function(){return this.get("title")+" "+this.get("link")+" (id = "+this.id+")"}})}(b.Model),i=function(b){var d=b.prototype;return b.extend({defaults:a.defaults({createdAgo:!1},d.defaults),initialize:function(a,b){if(b&&b.humanFriendlyTimestamp){var d=f.assureTzOffset(this.get("createdAt"));d=c(d,f.ISO_8601),this.set("createdAgo",d.fromNow())}},redirectPayload:function(){var b=d.redirectPayload.call(this);return a.extend(b,{thread:this.id,zone:"thread",area:"discovery"}),b},toJSON:function(){var a=d.toJSON.call(this);return a.thumbnailUrl=a.thumbnail,a.preview&&(a.preview=a.preview.toJSON()),a},toString:function(){return"organic link: "+d.toString.call(this)}})}(h),j=function(b){var c=b.prototype;return b.extend({idAttribute:"advertisement_id",defaults:a.defaults({brand:null,headline:null,text:null,url:null,signedUrl:null,advertisement_id:null,tracking_pixels_onview:null},c.defaults),parse:function(a){return a.signedUrl=a.signed_url,a.thumbnailUrl=a.thumbnail_url,delete a.signed_url,a},get:function(a){return{title:this.attributes.headline,link:this.attributes.url}[a]||c.get.call(this,a)},redirectPayload:function(){var b=c.redirectPayload.call(this);return a.extend(b,{zone:"thread",area:"discovery",advertisement_id:this.get("advertisement_id"),brand:this.get("brand"),headline:this.get("headline")}),b},toJSON:function(){var a=c.toJSON.call(this);return a.title=a.headline,a.link=a.url,a},toString:function(){return"promoted link: "+c.toString.call(this)}})}(h),k=function(a){return a.extend({idAttribute:"advertisement_id",defaults:{ad_provider:null,advertisement_id:null,layout:"media_expansion",thumbnail_url:null,url:null,media_url:null,placement_id:null},set:function(b,c,d){return"None"===b.placement_id&&(b.placement_id=null),b.post&&(b.post.isSponsored=!0,b.post.hideViewAllComments=b.ad_provider,this.post=new e.Post(b.post),delete b.post),b.thread&&(this.thread=new e.Thread(b.thread),this.thread.forum=new e.Forum({settings:{allowMedia:!0}}),delete b.thread),a.prototype.set.call(this,b,c,d)}})}(b.Model),l=function(b){return b.extend({idAttribute:"advertisement_id",apiMapping:{headline:"name",signedUrl:"url",brand:"branding"},parse:function(b){a.each(this.apiMapping,function(a,c){b[a]&&(b[c]=b[a],delete b[a])});var c=b.thumbnail;return b.thumbnailUrl=c&&c.length&&c[0]&&c[0].url,b}})}(j),m={RelatedThread:i,Advertisement:j,SponsoredComment:k,TaboolaAdvertisement:l};return DISQUS.testing&&(m.BaseContentModel=h),m}),define("discovery/collections",["backbone","underscore","core/api","common/defines","common/utils","discovery/helpers","discovery/models"],function(a,b,c,d,e,f,g){"use strict";var h=e.strip,i=a.Collection.extend({url:function(a){return c.getURL(a)},fetch:function(b){return b=b||{},b.reset=!0,a.Collection.prototype.fetch.call(this,b)},parse:function(a){return a.response}}),j=function(a){var b=a.prototype;return a.extend({url:function(){return b.url.call(this,"discovery/listTopPost.json")},parse:function(a){for(var c=b.parse.call(this,a),d=0,e=c.length;e>d;d++)c[d].plaintext=h(c[d].message);return c}})}(i),k=function(a){return a.extend({initialize:function(a,c){this.model=g[this.modelName],c&&b.has(c,"fetchLimit")&&(this.fetchLimit=c.fetchLimit)},fetch:function(b){return this.fetchLimit&&b.data&&(b.data[this.fetchLimitKey||"limit"]=this.fetchLimit),a.prototype.fetch.call(this,b)}})}(i),l=function(a){var b=a.prototype;return a.extend({modelName:"RelatedThread",url:function(){return b.url.call(this,"discovery/listRelated.json")}})}(k),m=function(a){return a=a||{},a.dataType="jsonp",a.omitDisqusApiKey=!0,a},n=function(a){var c=a.prototype;return a.extend({modelName:"Advertisement",url:"//tempest.services.disqus.com/listPromoted",initialize:function(a){return this.sponsoredComments=new p,c.initialize.call(this,a)},fetch:b.compose(function(a){return b.has(a.data,"limit")&&(a.data[this.fetchLimitKey]=a.data.limit,delete a.data.limit),c.fetch.call(this,a)},m),parse:function(a){return this.sponsoredComments.reset(this.sponsoredComments.parse(a)),a.response||a.promoted_discovery},fetchLimitKey:"count",fetchThumbnailsKey:"thumbnails_only"})}(k),o=function(a){return a.extend({baseUrl:"//tempest.services.disqus.com/preview/serve/",url:function(){return this.baseUrl+this.previewQueryParam}})}(n),p=function(a){return a.extend({modelName:"SponsoredComment",url:n.prototype.url,parse:function(a){return b.each(a.sponsored_comment,function(b){b.placement_id=a.placement_id}),a.sponsored_comment}})}(k),q=function(a){var c=a.prototype;return a.extend({initialize:function(a,b){c.initialize.apply(this,arguments),this.sessionStorage=b&&b.sessionStorage||window.sessionStorage},modelName:"TaboolaAdvertisement",url:function(a){return a=!d.debug&&a,"http://api.taboola.com/1.1/json/disqus"+(a?"-"+a:"")+"/recommendations.get"},getTaboolaSession:function(){var a;try{a=this.sessionStorage.getItem("taboolaSession")}catch(b){}return a||"init"},setTaboolaSession:function(a){try{this.sessionStorage.setItem("taboolaSession",a)}catch(b){f.log("Unable to store Taboola session in sessionStorage")}},fetch:b.compose(function(a){a.url=this.url(a.forum),b.extend(a.data,{"app.type":"desktop","app.apikey":"037849ccb5a799c70e319e9592c66e8b387105ff","source.type":"text","source.id":a.sourceThread.id,"source.url":a.sourceThreadUrl,"source.placement":a.placement,"user.session":this.getTaboolaSession()});var d=window.$&&window.$.fn&&window.$.fn.jquery&&window.$.fn.jquery.indexOf("1.9.2")>-1;return d?a.jsonp="rec.callback":a.jsonpCallback="rec.callback",b.has(a.data,"limit")&&(a.data[this.fetchLimitKey]=a.data.limit,delete a.data.limit),b.has(a.data,"thread")&&delete a.data.thread,c.fetch.call(this,a)},m),fetchLimitKey:"rec.count",parse:function(a){this.setTaboolaSession(a.session);var c=79264;return b.map(a.list,function(a){return a.advertisement_id=c++,a})}})}(k),r={PostCollection:j,RelatedThreadCollection:l,AdvertisementCollection:n,PreviewAdvertisementCollection:o,SponsoredCommentCollection:p,TaboolaAdvertisementCollection:q};return DISQUS.testing&&(r.BaseCollection=i,r.BaseContentCollection=k),r}),define("discovery/custom-comments",["jquery","underscore","core/models/Media","shared/urls","shared/corefuncs","common/utils","common/urls","common/templates","discovery/collections","exports"],function(a,b,c,d,e,f,g,h,i,j){"use strict";j.getProtocol=function(a){var b=(a||"").match(/^\s*(\w+:)?\/\//);return b?(b[1]||"").toLowerCase():null},j.getPageProtocol=function(){return window.location.protocol},j.forceWebProtocol=function(a,b){var c=j.getProtocol(a);if(null===c)return"";var e=j.getPageProtocol();return c||(c=e),"http:"===e&&(b=!0),"http:"===c&&b||(c="https:"),d.ensureHttpBasedProtocol(a,c)};var k=/<(\S+)[^<]+$/;j.extractTrackingTags=function(a){if(b.isArray(a))return b.map(a,function(a){return{tag:"img",url:a}});for(var c=f.bleachFindUrls(a),d=[],e=0;e0&&(i=c[e-1].endIndex);var l=a.substr(i,h-i),m=k.exec(l);if(m){var n=m[1].toLowerCase();if("img"===n||"iframe"===n){var o=j.forceWebProtocol(g.url);o&&d.push({tag:n,url:o})}}}return d},j.selectUrl=function(a,b){return a=j.forceWebProtocol(a),b=j.forceWebProtocol(b),a?a:"http:"===j.getPageProtocol()?b:null},j.handlers={};var l=function(a,d){if("OK"===d.status&&d.ad){var f=d.ad,h=a.post.toJSON();if(h.author){h.author.isRegistered=!1,h.author.hasSponsoredAvatar=!0,h.author.id=void 0;var k=b.template('

<%=title%>

<%=summary%>');h.raw_message=h.message=k({url:j.forceWebProtocol(f.url,!0),title:b.escape(f.title),summary:b.escape(f.summary)}),h.author.name=f.promotedBy,h.author.avatar=h.author.avatar||{},h.author.avatar.cache=h.author.avatar.permalink=j.forceWebProtocol(f.brandImageUrl)||g.avatar.generic;var l;if("story"===f.type)l="image_target",h.media=[];else{if("video"!==f.type)return;l="media_expansion",h.media=[{url:e.serialize(j.forceWebProtocol(f.embedUrl),{auto_play:1}),mediaType:c.MEDIA_TYPES_UNKNOWN,htmlWidth:1280,htmlHeight:720}]}var m=j.extractTrackingTags(f.trackingTags),n=j.extractTrackingTags(f.viewableTags);this.ads.sponsoredComments=new i.SponsoredCommentCollection({sponsored_comment:[{placement_id:a.get("placement_id"),ad_provider:a.get("ad_provider"),advertisement_id:a.id,thumbnail_url:j.forceWebProtocol(f.imageSrc),url:j.forceWebProtocol(f.url,!0),layout:l,post:h,thread:a.thread.toJSON(),tracking_pixels_onload:m,tracking_pixels_onview:n}]},{parse:!0})}}};j.handlers.adsnative=function(c){return a.ajax({dataType:"jsonp",url:"https://api.adsnative.com/v1/ad.json",data:{url:this.get("sourceThreadUrl")}}).then(b.bind(l,this,c))},j.handlers.adsnativeVideoAds=function(c){return a.ajax({dataType:"jsonp",url:"https://api.adsnative.com/v1/ad.json",data:{url:this.get("sourceThreadUrl"),zid:"PySlQoeeO71JbyG53QDzMCzp2uRP_ip0yZmgoltF"}}).then(b.bind(function(a){a&&a.ad&&(a.ad.type="video"),l.call(this,c,a);var d=this.ads.sponsoredComments.at(0);d.post.set(b.pick(a.ad,"title","summary")),d.set("layout","video")},this))},j.handlers.appnexus=function(b){var c=this;if(b.get("placement_id")){var d="adCallback"+ +new Date;return window.APN=window.APN||{},window.APN.adLoaded=function(){window[d]&&(window[d].apply(window,arguments),delete window.APN.adLoaded)},a.ajax({dataType:"jsonp",jsonp:!1,jsonpCallback:d,url:"https://mobile.adnxs.com/mob",data:{id:b.get("placement_id"),size:"1x1",format:"js",tmpl_id:20,st:"web",referrer:this.get("sourceThreadUrl")}}).done(function(a){if(a.ads=a.ads||a["native"],"ok"===a.status&&a.ads&&a.ads.length){var d=a.ads[0];if(d&&d.description){var e=b.post.toJSON();if(e.author){e.author.isRegistered=!1,e.author.hasSponsoredAvatar=!0,e.author.id=void 0;var f=j.selectUrl(d.main_img_secure,d.main_img);if(f){e.raw_message=e.message=h.render("appNexusMessage",{url:j.forceWebProtocol(decodeURIComponent(d.click_url),!0),title:d.title,summary:d.description}),e.author.name=d.brand_name||d.title,e.author.avatar=e.author.avatar||{},e.author.avatar.cache=e.author.avatar.permalink=j.selectUrl(d.icon_img_secure,d.icon_img)||g.avatar.generic;var k=j.extractTrackingTags(d.imp_tracker);c.ads.sponsoredComments=new i.SponsoredCommentCollection({sponsored_comment:[{placement_id:b.get("placement_id"),ad_provider:b.get("ad_provider"),advertisement_id:b.id,thumbnail_url:f,url:j.forceWebProtocol(decodeURIComponent(d.click_url),!0),layout:"image_target",post:e,thread:b.thread.toJSON(),tracking_pixels_onload:k}]},{parse:!0})}}}}})}},j.handlers.appnext=function(c){var d,e=this;return navigator.userAgent.match(/Android/i)&&(d="a8cb8499-482b-44b0-b928-6151311b7972"),navigator.userAgent.match(/iPhone|iPad|iPod/i)&&(d="37eaa010-7829-446f-b1c8-62cb57eec249"),d?a.ajax({dataType:"jsonp",url:"https://admin.appnext.com/offerWallApi.aspx",data:{id:d,type:"json",pimg:1,cnt:1}}).then(function(a,d){if("success"===d&&a.apps&&a.apps.length){var f=a.apps[0],g=c.post.toJSON();f&&g.author&&(g.raw_message=g.message=b.escape(f.desc),g.author.name=f.title,g.author.avatar=g.author.avatar||{},g.author.avatar.cache=g.author.avatar.permalink=j.forceWebProtocol(f.urlImg),g.author.isRegistered=!1,delete g.author.id,g.author.hasSponsoredAvatar=!0,g.media=[],e.ads.sponsoredComments=new i.SponsoredCommentCollection({sponsored_comment:[{placement_id:c.get("placement_id"),ad_provider:c.get("ad_provider"),advertisement_id:c.id,thumbnail_url:j.forceWebProtocol(f.urlImg),url:j.forceWebProtocol(f.urlApp),layout:"image_target",post:g,thread:c.thread.toJSON()}]},{parse:!0}))}}):void 0}}),define("discovery/variants",[],function(){"use strict";return{"default":{maxPerColumn:2,inlineMeta:!1,contentPreviews:!0,promotedEnabled:!1,topPlacementEnabled:!1},promoted:{maxPerColumn:4,inlineMeta:!0,contentPreviews:!1,promotedEnabled:!0,topPlacementEnabled:!1,promotedSide:"right"},max:{maxPerColumn:4,inlineMeta:!0,contentPreviews:!1,promotedEnabled:!0,topPlacementEnabled:!0,promotedSide:"left"},thumbnails:{maxOrganicThumbnailLinks:0,maxPromotedThumbnailLinks:4,promotedSide:"left",numLinesHeadline:4}}}),define("discovery/views",["backbone","underscore","jquery","core/bus","core/analytics/jester","common/templates","common/views/mixins","common/utils","core/strings","discovery/helpers"],function(a,b,c,d,e,f,g,h,i,j){"use strict";var k=i.get,l=a.View.extend({initialize:function(a){a&&a.appContext&&(this.appContext=a.appContext)},getTemplateContext:function(){return this.appContext?{variant:this.appContext}:{}},template:function(a,b){return b=b||this.templateName,f.render(b,a)}}),m=function(a){var f=a.prototype;return a.extend({events:{"click [data-redirect]":"handleClick"},templateName:"discoveryCollection",handleClick:function(a){this.swapHref(a.currentTarget)},swapHref:function(a){a.setAttribute("data-href",a.getAttribute("href")),a.setAttribute("href",a.getAttribute("data-redirect")),b.delay(function(){a.setAttribute("href",a.getAttribute("data-href"))},100)},initialize:function(a){f.initialize.call(this,a),this.elementsSelector="li.discovery-post",this.$elements=this.$el.find(this.elementsSelector),this.initContext=a.context;var b=this.collection;this.listenTo(b,{remove:this.remove,reset:this.render}),this.viewEventState={},a.appContext&&a.appContext.promotedEnabled&&this.listenTo(d.frame,"window.scroll",this.queueViewEvents)},queueViewEvents:function(a){b.each(this.$elements,function(d){var e=c(d),f=d.getAttribute("data-id"),h=this.collection.get(f),i=this.viewEventState.hasOwnProperty(f)&&this.viewEventState[f].reported;if(h&&!i){this.viewEventState.hasOwnProperty(f)||(this.viewEventState[f]={isVisible:void 0,reported:!1,timer:null});var j=e.height(),k=b.defaults({$el:e,topEdgeOffset:j/2,bottomEdgeOffset:j/2},g.IsVisibleViewMixin),l=k.isVisible(a);l!==this.viewEventState[f].isVisible&&(l?this.viewEventState[f].timer=this.reportIABViewDelayed(f):this.viewEventState[f].timer&&clearTimeout(this.viewEventState[f].timer),this.viewEventState[f].isVisible=l)}},this)},reportIABViewDelayed:function(a){return b.delay(b.bind(this.reportIABView,this,a),1e3)},reportIABView:function(a){var c=this.collection.get(a),d=c.get("tracking_pixels_onview")||[];this.viewEventState[a].reported=!0;var e=b.bind(function(b){this.report({verb:"load",adverb:"failed",adjective:"tracking-pixel",object_type:"service",object_id:b,advertisement_id:a})},this);h.loadPixels(d,e,this.$el)},report:function(a){e.client.emit(b.defaults(a,{object_type:"advertisement",zone:"thread",area:"promoted_discovery",thread_id:this.appContext.sourceThread.id,forum_id:this.appContext.sourceForum.pk,user_id:this.appContext.session.user&&this.appContext.session.user.id}))},truncate:function(){var a=this.$el.find(".line-truncate");b.each(a,function(a){var b=c(a);j.lineTruncate(b,{lines:parseInt(b.attr("data-line-truncate"),10),ellipsis:!0})})},getTemplateContext:function(){var a=f.getTemplateContext.call(this);b.extend(a,this.initContext),a.collection=this.collection.toJSON();var c=this.collection.at(0);if(c){var d=c.has("id")?"organic-":"promoted-",e=c.idAttribute;b.each(a.collection,function(a){a.advertisement_id=a[e],a.domIdSuffix=a[e],a.domIdSuffix=d+a.domIdSuffix})}return a},render:function(){var a=this.getTemplateContext();return this.$el.html(this.template(a)),this.$elements=this.$el.find(this.elementsSelector),this.truncate(),this},remove:function(a,d,e){if(0===arguments.length)return l.prototype.remove.call(this);var f=b.toArray(this.$elements),g=f.splice(e.index,1)[0];return c(g).remove(),this.$elements=c(f),this}})}(l),n=function(a,b){this.modelIds=a||[],this.$elements=c(b||[])};b.extend(n.prototype,{height:function(){var a=this;a.heights=[];var d=c(a.$elements),e=d.first().offset().top,f=function(){var a=d.last();return a.offset().top+a.height()}(),g=f-e,h=0;return b.each(d,function(b){var d=c(b).height();a.heights.push(d),h+=d}),this.interstice=(g-h)/(d.length-1),g}});var o=function(){this.divideIntoColumns=function(){var a=this,b=a.subviews[0];a.left=new n,a.right=new n;var c=0;b.collection.each(function(d,e){var f=c++%2===0?"left":"right";a[f].modelIds.push(d.id),Array.prototype.push.call(a[f].$elements,b.$elements[e])})},this.removeOneFromColumn=function(a,c){var d,e=b.chain(a.modelIds).map(function(b,c){return[b,a.heights[c]]}).sortBy(function(a){return-1*a[1]}).find(function(a){return a[1]<=c}).value()[0],f=this.subviews[0].collection,g=f.models,h=f.get(e),i=g.indexOf(h),j=[],k=[],l=[k,j],m=g.length;for(d=0;m>d;d++)l[d%2].push(g[d]);var n=l[i%2];n.splice(b.indexOf(n,h),1),g=[];var o=(i+1)%2;for(d=0;m-1>d;d++)g.push(l[(d+o)%2].shift());f.reset(g)},this.balanceColumns=function(){var a=this.subviews[0],c=a.collection,d={};c.each(function(b,c){d[c]=a.$elements[c]});var e=j.balancedPartition(d);e=b.sortBy(e,"length");var f=e[1],g=e[0],h=c.models,i=new Array(h.length);b.each(f,function(a,b){i[2*b]=h[b]}),b.each(g,function(a,b){i[2*b+1]=h[b]}),c.reset(h)},this.shortenColumn=function(a,b){var c=this.subviews[0].collection;c.length%2!==0&&a===this.left?this.removeOneFromColumn(a,this.fudge*b):this.balanceColumns()}},p=function(){this.divideIntoColumns=function(){var a=this,b=a.subviews,c=b[0],d=b[1],e=c.collection.model.prototype.idAttribute;a.left=new n(c.collection.pluck(e),c.$elements);var f=d.collection.model.prototype.idAttribute;a.right=new n(d.collection.pluck(f),d.$elements)},this.shortenColumn=function(a,c){for(var d=a===this.left?this.subviews[0]:this.subviews[1],e=a===this.left?this.right:this.left,f=e,g=c/f.$elements.length,h=d.collection,i=b.chain(a.modelIds).map(function(b,c){return[b,a.heights[c]]}).sortBy(function(a){return a[1]}).value(),j=[],k=0,l=c,m=g;i.length;){var n=i.pop(),o=n[0],p=n[1],q=p+a.interstice;if(k+q>c&&(f=a),l=Math.abs(c-(k+q)),m=l/f.$elements.length,!(m>=g)){g=m;var r=a.modelIds.indexOf(o);a.modelIds.splice(r,1),Array.prototype.splice.call(a.$elements,r,1),k+=q,j.push(o)}}h.remove(j)}},q=function(a){this.fudge=a.fudge,this.subviews=a.views.slice(0,2),1===this.subviews.length?o.call(this):p.call(this)};b.extend(q.prototype,{ascendingByHeight:function(){var a=this.left,c=this.right,d=[[a,a.height()],[c,c.height()]];return b.sortBy(d,function(a){return a[1]})},evenColumns:function(a){var c=this.ascendingByHeight(),d=c[0][0],e=c[0][1],f=c[1][0],g=c[1][1];if(e!==g){var h=g-e,i=this.fudge*h,j=b.find(f.heights,function(a){return a+f.intersticee)){var f=d/e;b.each(a.$elements,function(a){var b=c(a),d=parseInt(b.css("margin-bottom"),10),e=d+f;b.css("margin-bottom",e+"px")});var g=a===this.left?this.right:this.left,h=a===this.right?"left":"right";g.$elements.css("clear",h)}},render:function(){return this.divideIntoColumns(),this.evenColumns(),this}});var r=function(a){var c=a.prototype;return b.extend(c,g.IsVisibleViewMixin),a.extend({templateName:"discoveryMain",events:{"click [data-action=discovery-help]":function(a){a.preventDefault(),this.model.set("help",!0)},"click [data-action=discovery-help-close]":function(a){a.preventDefault(),this.model.set("help",!1)}},toggleHelp:function(a){var b=this;b.$el.find("#discovery-note").toggle(),a.trigger("resize")},rerenderHelp:function(){var a=this.$el.find("#discovery-note");a.length&&a.html(this.template(this.getTemplateContext(),"discoveryNote"))},initialize:function(a){c.initialize.call(this,a),this.listenTo(this.model,{"change:display":this.show,"change:help":this.toggleHelp}),this.listenTo(this.model.get("session"),"change",this.rerenderHelp),this.$el.css({position:"absolute",visibility:"hidden",display:"block",width:this.$el.width()-20+"px"}),this.topEdgeOffset=this.model.get("topEdgeOffset"),this.bottomEdgeOffset=this.model.get("bottomEdgeOffset")},createSections:function(){var a=this.model,c=a.get("sectionNames"),d=a.get("sectionIds");return b.map(a.collections,function(b,e){var f,g="";return b===a.threads?f="organic":b===a.ads&&(f="promoted",b.each(function(a){if(a)switch(a.get("brand")){case"Women & Co":g=k("Sponsored Stories");break;case"American Express OPEN":g=k("Sponsored Links")}})),{id:d[e],className:c[e],type:f,showThumbnailsInRows:"promoted"===f&&a.getThumbnailLinksMobile("Promoted"),promotedTitle:g}})},getTemplateContext:function(){var a=this.model,b=this.createSections(),c=a.get("maxOrganicThumbnailLinks")||a.get("maxPromotedThumbnailLinks");return{id:a.get("innerContainerId"),sections:b,styleVariant:a.get("styleVariant"),forum:a.get("sourceForum"),discoverySettingsUrl:a.get("promotedEnabled")&&a.get("discoverySettingsUrl"),session:a.get("session").toJSON(),thumbnailsEnabled:c}},render:function(){this.$el.html(this.template(this.getTemplateContext()))},show:function(a){a.get("display")&&(this.$el.css({position:"static",visibility:"visible",width:"100%"}),a.trigger("resize"))},remove:function(a){var b;return a&&a.cloneContainer&&(b=this.el.cloneNode(!1),this.$el.attr("id",""),this.$el.after(b)),c.remove.call(this)},calculateOffsetTop:function(){var a=this.$el.offset();return a.top}})}(l);return{BaseCollectionView:m,TwoColumn:q,MainView:r}}),define("discovery/views/countdown-timer",["backbone","underscore","common/templates"],function(a,b,c){"use strict";return a.View.extend({template:"countdownTimer",className:"countdown-timer",initialize:function(c){this.duration=c.duration||5e3,this.model=new a.Model({active:!1,text:0,remaining:0}),this.listenTo(this.model,"change",this.updateUI),b.bindAll(this,"tickAnimation")},updateUI:function(){this.$el[this.model.get("active")?"addClass":"removeClass"]("active"),this.$text&&this.$text.text(this.model.get("text")),this.$path&&this.pathLength&&this.$path.css("stroke-dashoffset",this.model.get("remaining")*this.pathLength)},render:function(){return this.$el.html(c.render(this.template)),this.$path=this.$el.find("[data-role=countdown-path]"),this.$text=this.$el.find("[data-role=countdown-text]"),this.updateUI(),this.pathLength=this.$path.length&&this.$path[0].getTotalLength&&this.$path[0].getTotalLength(),this.$path.css("stroke-dasharray",this.pathLength),this},startAnimation:function(){this.model.get("active")||(this.model.set("active",!0),this.updateUI(),this.startTime=null,this.timer=window.requestAnimationFrame(this.tickAnimation))},tickAnimation:function(a){null===this.startTime&&(this.startTime=a);var b=(a-this.startTime)/this.duration;if(b>=1)this.model.set("active",!1),this.trigger("animation-complete");else{var c=1-Math.max(0,Math.min(b,1));this.model.set({text:Math.ceil(c*this.duration/1e3),remaining:c}),this.timer=window.requestAnimationFrame(this.tickAnimation)}},cancelAnimation:function(){this.model.set("active",!1),window.cancelAnimationFrame(this.timer)}})}),define("discovery/views/sponsored-comment",["backbone","jquery","underscore","core/bus","core/config","remote/config","core/analytics/jester","common/models","common/templates","common/utils","core/utils","core/strings","common/views/mixins","discovery/helpers","discovery/views/countdown-timer","lounge/views/post","lounge/views/posts","lounge/views/media"],function(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r){"use strict";var s=l.get,t=p.extend({inViewport:!1,layout:void 0,moatScriptUrl:"//js.moatads.com/<%=moatId%>/moatad.js#moatClientLevel1=Disqus&moatClientLevel2=<%=adId%>&moatClientLevel3=<%=adId%>&moatClientLevel4=<%=isLoggedIn%>&moatClientSlicer1=<%=forumId%>&moatClientSlicer2=<%=threadId%>",events:c.extend({},p.prototype.events,{"mouseenter.reportHover":"scheduleHoverReport","mouseleave.reportHover":"cancelHoverReport","click [data-action=feedback]":"showSurvey","mouseenter [data-role=iframe-player]":"schedulePredictedClickReport","mouseleave [data-role=iframe-player]":"cancelPredictedClickReport","click [data-role=thread-link]":"reportOpenedSponsoredThread","click > [data-role=post-content] [data-action]":"reportDataAction","click [data-role=sponsored-text] a":"reportLinkClick"}),getReportOptionsByAction:function(a){var b;switch(a){case"click_image":b={verb:"click",adjective:"image"};break;case"downvote":b={verb:"dislike"};break;case"upvote":b={verb:"like"};break;case"feedback":b={verb:"click",object_type:"link",object_id:f.lounge.sponsored_comment_survey_url,adjective:"feedback"};break;case"reply":b={verb:"post",object_type:"post",object_id:this.model.id};break;case"profile":b={verb:"click",object_type:"zone",object_id:"profile",adjective:"profile"}}return b},reportDataAction:function(a){var c=p.prototype.events["click > [data-role=post-content] [data-action]"].apply(this,arguments),d=b(a.currentTarget).attr("data-action"),e=this.getReportOptionsByAction(d);return e&&this.report(e),c},scheduleHoverReport:function(){this.isMouseInsideComment=!0,this.debouncedReportHoverOnce(),this.shouldTrackAdditionalEvents()&&(this._hoverStartTime=+new Date)},reportHover:function(){this.isMouseInsideComment&&(this.report({verb:"hover",adverb:"3000ms"}),this.shouldTrackAdditionalEvents()||this.$el.off(".reportHover"))},cancelHoverReport:function(){this.isMouseInsideComment=!1,this.shouldTrackAdditionalEvents()&&this.reportHoverDuration()},reportHoverDuration:function(){if(this._hoverStartTime){var a=new Date-this._hoverStartTime;this._hoverStartTime=null,0>=a||this.report({verb:"hover",adjective:"duration",adverb:a+"ms"})}},schedulePredictedClickReport:function(){this.isMouseInsidePlayer=!0,this.debouncedReportPredictedClick()},reportPredictedClick:function(){this.isMouseInsidePlayer&&(this.report({verb:"hover",adverb:"3000ms",adjective:"iframe"}),this.$el.off("mouseenter 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Friday, December 6, 2013

- -
- -
-
- - - -

-Why I promote conda -

-
-
-
-
-
-Anaconda users have been enjoying the benefits of conda for quickly and easily
-managing their binary Python packages for over a year.  During that time conda
-has also been steadily improving as a general-purpose package manager.  I
-have recently been promoting the very nice things that conda can do for Python
-users generally --- especially with complex binary extensions to Python as
-exist in the NumPy stack.   For example, It is very easy to create python 3
-environments and python 2 environments on the same system and install
-scikit-learn into them.   Normally, this process can be painful if you
-do not have a suitable build environment, or don't want to wait for
-compilation to succeed.
-
-Naturally, I sometimes get asked, "Why did you promote/write another
-python package manager (conda) instead of just contributing to the
-standard pip and virtualenv?"  The python packaging story is older and
-more personal to me than you might think.  Python packaging has been a thorn
-in my side personally since 1998 when I released my first Python extension
-(called numpyio actually).  Since then, I've written and personally released
-many, many Python packages (Multipack which became SciPy, NumPy, llvmpy,
-Numba, Blaze, etc.).   There is nothing you want more as a package author than
-users.  So, to make Multipack (SciPy), then NumPy available, I had to become a
-packaging expert by experiencing a lot of pain with the lack of
-suitable tools for my (admittedly complex) task.
-
-Along the way, I've suffered through believing that distutils,
-setuptools, distribute, and pip/virtualenv would solve my actual
-problem.  All of these tools provided some standardization (at least around what somebody
-types at the command line to build a package) but no help in actually doing the
-build and no real help in getting compatible binaries of things like SciPy
-installed onto many users machines.
-
-I've personally made terrible software engineering mistakes because of the lack of
-good package management.  For example, I allowed the pressure of "no ABI
-changes" to severely hamper the progress of the NumPy API.  Instead of pushing
-harder and breaking the ABI when necessary to get improvements into NumPy, I
-buckled under the pressure and agreed to the requests coming mostly from NumPy
-windows users and froze the ABI.  I could empathize with people who would spend
-days building their NumPy stack and literally become fearful of changing it.
-From NumPy 1.4 to NumPy 1.7, the partial date-time addition caused various
-degrees of broken-ness and is part of why missing data data-types have never
-showed up in NumPy at all.   If conda had existed back then with standard
-conda binaries released for different projects, there would have been almost
-no problem at all.   That pressure would have largely disappeared.   Just
-install the packages again --- problem solved for everybody (not just the
-Linux users who had apt-get and yum).
-
-Some of the problems with SciPy are also rooted in the lack of good packages
-and package  management.  SciPy, when we first released it in 2001 was
-basically a distribution of multiple modules from Multipack, some new BLAS /
-LAPACK and linear algebra wrappers and nascent plotting tools.  It was a SciPy
-distribution masquerading as a single library.  Most of the effort spent was
-a packaging effort (especially on Windows).  Since then, the scikits effort
-has done a great job of breaking up the domain of SciPy into more manageable
-chunks and providing a space for the community to grow.   This kind of re-
-factoring is only possible with good distributions and is really only
-effective when you have good package management.   On Mac and Linux
-package managers exist --- on Windows things like EPD, Anaconda or C.
-Gohlke's collection of binaries have been the only solution.
-
-Through all of this work, I've cut my fingers and toes and sometimes face on
-compilers, shared and static libraries on all kinds of crazy systems (AIX,
-Windows NT, etc.).  I still remember the night I learned what it meant to have
-ABI incompatibilty between different compilers (try passing structs
-such as complex-numbers between a file compiled with mingw and a library compiled with
-Visual Studio).   I've been bitten more than once by unicode-width
-incompatibilities, strange shared-library incompatibilities, and the vagaries
-of how different compilers and run-times define the `FILE *` file pointer.
-
-In fact, if you have not read "Linkers and Loaders", you should actually do
-that right now as it will open your mind to that interesting limbo between
-"developer-code" and "running process" overlooked by even experienced
-developers.  I'm grateful Dave Beazley recommended it to me over 6 years ago.
-Here is a link:  http://www.iecc.com/linker/
-
-We in the scientific python community have had difficulty and a rocky
-history with just waiting for the Python.org community to solve the
-problem.  With distutils for example, we had to essentially re-write
-most of it (as numpy.distutils) in order to support compilation of
-extensions that needed Fortran-compiled libraries.  This was not an
-easy task.  All kinds of other tools could have (and, in retrospect,
-should have) been used.  Most of the design of distutils did not help
-us in the NumPy stack at all.  In fact, numpy.distutils replaces most
-of the innards of distutils but is still shackled by the architecture
-and imperative approach to what should fundamentally be a declarative
-problem.  We should have just used or written something like waf or
-bento or cmake and encouraged its use everywhere.  However, we buckled
-under the pressure of the distutils promise of "one right way to do
-it" and "one-size fits all" solution that we all hoped for, but
-ultimately did not get.  I appreciate the effort of the distutils
-authors.  Their hearts were in the right place and they did provide a
-useful solution for their use-cases.  It was just not useful for ours,
-and we should not have tried to force the issue.  Not all code is
-useful to everyone.  The real mistake was the Python community picking
-a "standard" that was actually limiting for a sizeable set of users.
-This was the real problem --- but it should be noted that this
-"problem" is only because of the incredible success and therefore
-influence of python developers and python.org.  With this influence, however,
-comes a certain danger of limiting progress if all advances have to be
-made via committee --- working out specifications instead of watching for
-innovation and encouraging it.
-
-David Cooke and many others finally wrestled numpy.distutils to the
-point that the library does provide some useful functionality for
-helping build extensions requiring NumPy.  Even after all that effort,
-however, some in the Python community who seem to have no idea of the
-history of how these things came about and simply claim that setup.py
-files that need numpy.distutils are "broken" because they import numpy
-before "requiring" them.  To this, I reply that what is actually
-broken is the design that does not have a delcarative meta-data file
-that describes dependencies and then a build process that creates the
-environment needed before running any code to do the actual build.
-This is what `conda build` does and it works beautifully to create any
-kind of binary package you want from any list of dependencies you may
-have.  Anything else is going to require all kinds of "bootstrap"
-gyrations to fit into the square hole of a process that seems to
-require that all things begin with the python setup.py incantation.
-
-Therefore, you can't really address the problem of Python packaging without
-addressing the core problems of trying to use distutils (at least for the
-NumPy stack).  The problems for us in the NumPy stack started there and have
-to be rooted out there as well.  This was confirmed for me at the first PyData
-meetup at Google HQ, where several of us asked Guido what we can do to fix
-Python packaging for the NumPy stack.   Guido's answer was to "solve the
-problem ourselves".  We at Continuum took him at his word.  We looked at dpkg,
-rpm, pip/virtualenv, brew, nixos, and 0installer, and used our past experience
-with EPD.  We thought hard about the fundamental issues, and created the conda
-package manager and conda environments.  We who have been working on this for
-the past year have decades of Python packaging experience between us: me,
-Peter Wang, Ilan Schnell, Bryan Van de Ven, Mark Wiebe, Trent Nelson, Aaron
-Meurer, and now Andy Terrel are all helping improve things.  We welcome
-contributions, improvements, and updates from anyone else as conda is BSD
-licensed and completely open source and can be used and re-used by
-anybody.  We've also recently made a mailing list
-conda@continuum.io which is open to anyone to join and participate:
-https://groups.google.com/a/continuum.io/forum/#!forum/conda
-
-Conda pkg files are similar to .whl files except they are Python-agnostic.  A
-conda pkg file is a bzipped tar file with an 'info' directory, and then
-whatever other directory structure is created by the install process in
-"prefix".   It's the equivalent of taking a file-system diff pre and post-
-install and then tarring the result up.  It's more general than .whl files and
-can support any kind of binary file.    Making conda packages is as simple as making a recipe for it.   We make a growing collection of public-domain, example recipes available to everyone and also encourage attachment of a conda recipe directory to every project that needs binaries.
-
-At the heart of conda package installation is the concept of environments.
-Environments are like namespaces in Python -- but for binary packages.  Their
-applicability is extensive.  We are using them within Anaconda and Wakari for
-all kinds of purposes (from testing to application isolation to easy
-reproducibility to supporting multiple versions of packages in different
-scripts that are part of the same installation).  Truly, to borrow the famous
-Tim Peters' quip: "Environments are one honking great idea -- let's do more of
-those".  Rather than tacking this on after the fact like virtualenv does to
-pip, OS-level environments are built-in from the beginning.  As a result,
-every conda package is always installed into an environment.  There is a
-default (root) environment if you don't explicitly specify another one.
-Installation of a package is simply merging the unpacked binary into the union
-of unpacked binaries already at the root-path of the environment.   If union
-filesystems were better implemented in different operating systems, then each
-environment would simply be a union of the untarred binary packages.  Instead
-we accomplish the same thing with hard-linking, soft-linking, and (when
-necessary) copying of files.
-
-The design is simple, which helps it be easy to understand and easy to
-mix with other ideas.  We don't see easily how to take these simple,
-powerful ideas and adapt them to .whl and virtualenv which are trying
-to fit-in to a world created by distutils and setuptools.  It was
-actually much easier to just write our own solution and create
-hundreds of packages and make them available and provide all the tools
-to reproduce what we have done inside conda than to try and untangle
-how to provide our solution in that world and potentially even not
-quite get the result we want (which can be argued is what happened
-with numpy.distutils).
-
-You can use conda to build your own distribution of binaries that
-compete with Anaconda if you like.  Please do.  I would be completely
-thrilled if every other Python distribution (python.org, EPD,
-ActiveState, etc.) just used conda packages that they build and in so
-doing helped improve the conda package manager.  I recognize that
-conda emerged at the same time as the Anaconda distribution was
-stabilizing and so there is natural confusion over the two.  So,
-I will try to clarify: Conda is an open-source, general,
-cross-platform package manager.  One could accurately describe it as a
-cross-platform hombrew written in Python.  Anyone can use the tool and
-related infrastructure to build and distribute whatever packages they
-want.
-
-Anaconda is the collection of conda packages that we at Continuum provide for
-free to everyone, based on a particular base Python we choose (which you can
-download at http://continuum.io/downloads as Miniconda).  In the past it has
-been some work to get conda working outside Miniconda or Anaconda because our
-first focus was creating a working solution for our users.  We have been
-fixing those minor issues and have now released a version of conda that can be
-'pip installed'.   As conda has significant overlap with virtualenv in
-particular we are still working out kinks in the interop of these two
-solutions.   But, it all can and should work together and we fix issues as
-quickly as we can identify them.
-
-We also provide a service called http://binstar.org (register with beta-code
-"binstar in beta") which allows you to host your own binary conda packages.
-With this missing piece, you just tell people to point their conda
-repositories to your collection -- and they can easily install everything you
-want them to.  You can also build your own conda repositories and host them on
-your own servers.  It all works, today, now -- for hundreds of thousands of
-people.  In this context, Anaconda could be considered a "reference"
-distribution and a proof of concept of how to use the conda package manager.
-Wakari also uses the conda package manager at its core to share bundles.
-Bundles are just conda packages (with a set of dependencies) and capture the
-core problems associated with reproducible computing in a light-weight and
-easily reproduced way.  We have made the tools available for *anyone* to re-
-create this distribution pretty easily and compete with us.
-
-It is very important to keep in mind that we created conda to solve
-the problem of distributing an environment to end-users that allow
-them do to advanced data analytics, scientific discovery, and general
-engineering work.  Python has a chance to play a major role in this
-space.  However, it is not the only player.  Other solutions exist in
-the space we are targeting (SAS, Matlab, SPSS, and R).  We want Python
-to dominate this space.  We could not wait for the packaging solution
-we needed to evolve from the lengthy discussions that are on-going
-which also have to untangle the history of distutils, setuptools,
-easy_install, and distribute.  What we could do is solve our problem
-and then look for interoperability and influence opportunities once we
-had something that worked for our needs.   That the approach we took
-and I'm glad we did.  We have a working solution now which benefits
-hundreds of thousands of users (and could benefit millions more if
-IT administrators recognized conda as an acceptable packaging approach
-from others in the community).
-
-We are going to keep improving conda until it becomes an obvious
-solution for everyone: users, developers, and IT administrators alike.
-We welcome additions and suggestions that allow it to interoperate
-with anything else in the Python packaging space.   I do believe that the group of people working on Python packaging and Nick Coghlan in particular are doing a valuable service.  It's a very difficult job to take into account the history of Python packaging, fix all the little issues around it, *and* provide a binary distribution system that allows users to not have to think about packaging and distribution.    With our resources we did just the latter.   I admire those who are on the front lines of the former and look to provide as much context as I can to ensure that any future decisions take our use-cases into account.   I am looking forward to continuing to work with the community to reach future solutions that benefit everyone.
-
-If you would like to see more detail about conda and how it can be used here are some
-resources:
-
-Documentation: http://docs.continuum.io/conda/index.html
-Talk at PyData NYC 2013:
- - Slides: https://speakerdeck.com/teoliphant/packaging-and-deployment-with-conda
- - Video: http://vimeo.com/79862018
-
-Blog Posts:
- - http://continuum.io/blog/anaconda-python-3
- - http://continuum.io/blog/new-advances-in-conda
- - http://continuum.io/blog/conda
-
-Mailing list:
- - conda@continuum.io
- - https://groups.google.com/a/continuum.io/forum/#!forum/conda
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  1. Note that if you use the sysconfig "data" directory in wheels, then it will reproduce the *exact* layout used inside the wheel on the target filesystem (relative to the installation root). Most of the time people don't want that though - they want the cross-platform abstraction provided by the sysconfig schema that allows installers to take care of mapping from semantic labels to filesystem locations.

    ReplyDelete

  2. Thanks for pointing that out. I believe there are a lot of similarities between .whl and conda packages. In fact, there should be a way for the two formats to be understood by installers of each.

    The .whl specification has been evolving at the same time and the two formats can learn from each other --- for example, conda is growing that same semantic label notion --- to allow one package to be built and re-used across multiple platforms where it is possible.

    ReplyDelete

  3. Thanks Travis,

    Another great post. I'm hoping that we're going to be able to figure out how to leverage HashDist with and for Conda, and I am also for helping the scientific community standardize around Conda. It is a much bigger solution than just Python, and I am hoping we can get there as soon as possible.

    ReplyDelete

  4. Hi, thanks for the great post!
    One thing that's keeping me from using conda is that the packages always seem a bit behind (in time) of what you would get when using pip. Can you actually mix pip and conda or is it not adviseable?

    ReplyDelete
    Replies

    1. It's completely fine to mix pip and conda. We do it all the time. For example, I start with a conda environment and then pip install things that might not have conda equivalents.

      But, lately, I try conda build --build-recipe and typically can get a conda package if it's a straightforward pip package.

      That way I also get conda packages that people can relocate and create environments with easily.

      Delete

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  13. "Anaconda is the collection of conda packages that we at Continuum provide for free to everyone, based on a particular base Python we choose (which you can download at http://continuum.io/downloads as Miniconda)." What does "which you can download" refer back to? "base Python"?, or "conda packages"? Or "Anaconda"? None of these seem quite right, particularly since "conda packages" is apparently what Anaconda is, not Miniconda. Confused!

    ReplyDelete

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