From 436166e3d75027b27b9af452b5eb361f6d969185 Mon Sep 17 00:00:00 2001
From: Pitchaya Boonsarngsuk <2285135b@student.gla.ac.uk>
Date: Wed, 24 Jan 2018 10:20:50 +0000
Subject: [PATCH] Pivot near neighbour finding working (reverted from commit
 688ce750c788cc702fe875178442c71fc237d05b)

---
 .../js/src/neighbourSampling-papaparsing.js   | 34 ++++---------------
 1 file changed, 7 insertions(+), 27 deletions(-)

diff --git a/examples/js/src/neighbourSampling-papaparsing.js b/examples/js/src/neighbourSampling-papaparsing.js
index ce90764..991e60b 100644
--- a/examples/js/src/neighbourSampling-papaparsing.js
+++ b/examples/js/src/neighbourSampling-papaparsing.js
@@ -63,13 +63,6 @@ var MULTIPLIER = 50,
 // Create a color scheme for a range of numbers.
 var color = d3.scaleOrdinal(d3.schemeCategory10);
 
-
-$(document).ready(function() {
-  distanceFunction = calculateDistance;
-  d3.select('#startSimulation').on('click', startHybridSimulation);
-  $("#HLParameters").show();
-});
-
 /**
  * Parse the data from the provided csv file using Papa Parse library
  * @param  {file} evt - csv file.
@@ -119,16 +112,10 @@ function processData(data, error) {
   props.pop(); //Hide Iris index / last column from distance function
 
   //Put the nodes in random starting positions
-  //TODO Change this back
-  nodes.forEach(function (d) {
-    d.x = 0;
-    d.y = 0;
-  });
-  /*
   nodes.forEach(function (d) {
     d.x = (Math.random()-0.5) * 100000;
     d.y = (Math.random()-0.5) * 100000;
-  });*/
+  });
 
   addNodesToDOM(nodes);
 
@@ -152,7 +139,7 @@ function addNodesToDOM(data) {
     // it is a CLASS property).
     .attr("fill", function (d) {
       return color(d[COLOR_ATTRIBUTE]);
-    })/*
+    })
     .on("mouseover", function (d) {
       div.transition()
         .duration(200)
@@ -171,7 +158,6 @@ function addNodesToDOM(data) {
       node.attr("opacity", 1);
     })
     .on("click", function (d) {
-      console.log("click", clickedIndex);
       if (clickedIndex !== d.index) {
         if (springForce) {
           highlightNeighbours(Array.from(simulation.force(forceName).nodeNeighbours(d.index).keys()));
@@ -181,13 +167,12 @@ function addNodesToDOM(data) {
         node.attr("r", NODE_SIZE).attr("stroke-width", 0);
         clickedIndex = -1;
       }
-    })*/;
+    });
     if (selectedData)
       unSelectNodes(selectedData);
 }
 
 function ticked() {
-  console.log("ticked");
   // If rendering is selected, then draw at every iteration.
   if (rendering === true) {
     node // Each sub-circle in the SVG, update cx and cy
@@ -205,7 +190,6 @@ function ticked() {
 }
 
 function ended() {
-  console.log("ended");
   if (rendering !== true) { // Never drawn anything before? Now it's time.
     node
       .attr("cx", function (d) {
@@ -231,7 +215,6 @@ function ended() {
 }
 
 function brushEnded() {
-  console.log("brushEnded");
   var s = d3.event.selection,
     results = [];
 
@@ -265,7 +248,6 @@ function brushEnded() {
  * @param {*} node
  */
 function formatTooltip(node) {
-  console.log("formatTooltip", node);
   var textString = "",
     temp = "";
 
@@ -284,7 +266,6 @@ function formatTooltip(node) {
  * Halt the execution.
  */
 function stopSimulation() {
-  console.log("stopSimulation");
   simulation.stop();
   if (typeof hybridSimulation !== 'undefined') {
     hybridSimulation.stop();
@@ -297,7 +278,6 @@ function stopSimulation() {
  * @return {number}  the mean of the array.
  */
 function getAverage(array) {
-  console.log("getAverage", array);
   var total = 0;
   for (var i = 0; i < array.length; i++) {
     total += array[i];
@@ -310,7 +290,7 @@ function getAverage(array) {
  * @param {*} data
  */
 function unSelectNodes(data) {
-  console.log("unSelectNodes", data);
+
   selectedData = data;
   if (fileName === data.name && nodes) {
     node
@@ -368,7 +348,7 @@ function colorToAttribute() {
 
 /**
  * Update the distance range.
-
+ */
 function updateDistanceRange() {
   if (springForce) {
     simulation.force(forceName).distanceRange(SELECTED_DISTANCE);
@@ -400,7 +380,7 @@ function pauseUnPause() {
  * @param {*} dataNodes
  * @param {*} properties
  * @param {*} normalization
-
+ */
 function calculateAverageDistance(dataNodes, properties, normalization) {
   var sum = 0,
     n = nodes.length;
@@ -417,4 +397,4 @@ function calculateAverageDistance(dataNodes, properties, normalization) {
   }
 
   return sum / n;
-}*/
+}