arr[largest]) {\\n largest = right;\\n }\\n \\n // Change root if needed\\n if (largest !== i) {\\n swap(i, largest);\\n // Heapify down this subtree\\n heapify(n, largest);\\n }\\n }\",\n \"function MinHeap() {\\n\\n /**\\n * Insert an item into the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} x\\n */\\n this.insert = function(x) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:)\\n *\\n * @return{number}\\n */\\n this.peek = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Remove and return the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.pop = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the size of the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.size = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Convert the heap data into a string\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{string}\\n */\\n MinHeap.prototype.toString = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /*\\n * The following are some optional helper methods. These are not required\\n * but may make your life easier\\n */\\n\\n /**\\n * Get the index of the parent node of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var parent = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the index of the left child of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var leftChild = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Swap the values at 2 indices in our heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @param{number} j\\n */\\n var swap = function(i, j) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble up the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleUp = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble down the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleDown = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n}\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"heapifyUp(customStartIndex) {\\n // Take the last element (last in array or the bottom left in a tree)\\n // in the heap container and lift it up until it is in the correct\\n // order with respect to its parent element.\\n let currentIndex = customStartIndex || this.heapContainer.length - 1;\\n\\n while (\\n this.hasParent(currentIndex) &&\\n !(this.parent(currentIndex) <= this.heapContainer[currentIndex])\\n ) {\\n this.swap(currentIndex, this.getParentIndex(currentIndex));\\n currentIndex = this.getParentIndex(currentIndex);\\n }\\n }\",\n \"function popLargest(){\\n console.log('done heaping now need to start sorting, should show swapping first and last elements of the array')\\n \\n //console.log('need to update nodes = ', nodes)\\n // swap first with last node\\n var topper = d3.select('#nodey' + nodes[0].id)\\n \\n var highval = nodes[0].data.name\\n \\n var lower = d3.select('#nodey' + nodes[nodes.length-1].id)\\n var lowval = nodes[nodes.length-1].data.name\\n \\n // console.log('lowval is', lowval)\\n var toptransX = nodes[0].x - nodes[nodes.length-1].x\\n var toptransY = nodes[nodes.length-1].y -nodes[0].y\\n \\n // console.log(toptransX, 'and y= ', toptransY)\\n topper.select('.valtext')\\n .transition()\\n .attr('transform', \\\"translate(\\\" + toptransX + \\\", \\\" + toptransY +')')\\n .on('end', function(){\\n //nodes[0].data.name = lowval;\\n //nodes[nodes.length-1].data.name = highval;\\n // console.log('and this is', this)\\n d3.select(this).attr('transform', 'translate(0,0)')\\n \\n // upDateNodeVals()\\n })\\n \\n nodes[0].data.name = lowval;\\n nodes[nodes.length-1].data.name = highval;\\n \\n swapArrayGs(0, nodes.length-1)\\n \\n MakeRectDone(nodes.length-1, 'blue')\\n \\n lower.select('circle')\\n .transition()\\n .delay(1000)\\n .duration(colorduration)\\n .style('fill', 'blue')\\n .on('end', function(d){\\n var lastpar = nodes[nodes.length-1].parent;\\n lastpar._children = nodes[nodes.length-1];\\n // console.log(lastpar, \\\"last parent is\\\")\\n var removableindex = lastpar.children.indexOf(nodes[nodes.length-1]);\\n lastpar.children = lastpar.children.filter(function(d){\\n return d !== nodes[nodes.length-1]\\n })\\n if(lastpar.children.length === 0){\\n lastpar.children = null;\\n }\\n update(lastpar)\\n // console.log('nodes after all that,', nodes)\\n setTimeout(function(){\\n if(nodes.length === 1){\\n console.log('All done just need to make this rectangle blue and maybe make the root go to the array.')\\n MakeRectDone(0, 'blue')\\n }\\n else{\\n max_heapify(0, {})\\n }\\n \\n }, 2000)\\n \\n })\\n \\n // console.log('want to make this blue')\\n \\n lower.select('.valtext')\\n .transition()\\n .attr('transform', \\\"translate(\\\" + -toptransX + \\\", \\\" + -toptransY +')')\\n .on('end', function(){\\n //nodes[0].data.name = lowval;\\n // console.log('and this is', this)\\n d3.select(this).attr('transform', 'translate(0,0)')\\n \\n upDateNodeVals()\\n })\\n \\n }\",\n \"function BinaryHeap(options) {\\n options = options || {};\\n\\n this._elements = options.elements || [];\\n this._score = options.score || this._score;\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.76425755","0.7590268","0.7411874","0.71795857","0.7164551","0.7093145","0.70451295","0.7003762","0.6964044","0.6957051","0.69474083","0.69140154","0.6902639","0.6899539","0.689424","0.68331915","0.6778727","0.6763307","0.67618555","0.67281747","0.67278504","0.6709218","0.6695062","0.6671794","0.66450155","0.66450155","0.6635325","0.6595353","0.6595353","0.65942097","0.65750444","0.6553992","0.6518686","0.64975566","0.649422","0.6493683","0.64797336","0.64759594","0.647179","0.6456088","0.64260495","0.6405127","0.63999206","0.63590616","0.6314596","0.6312331","0.63112074","0.63101745","0.63019747","0.62998205","0.6296527","0.6282713","0.62718004","0.6263799","0.6257506","0.6255676","0.6234814","0.6233722","0.62276804","0.6212624","0.61975944","0.61956865","0.6194854","0.6180484","0.6180018","0.6169097","0.6155485","0.61518115","0.6149813","0.6148245","0.6138977","0.6138977","0.61180615","0.611176","0.610659","0.6095637","0.6095637","0.6081213","0.60690576","0.6048037","0.6041973","0.6041973","0.6041973","0.6041973","0.6038194","0.602639","0.6021215","0.6017882","0.59709704","0.5970435","0.595127","0.59419703","0.59336615","0.592663","0.59125483","0.5909505","0.5889641","0.5877696","0.5876084","0.58727354"],"string":"[\n \"0.76425755\",\n \"0.7590268\",\n \"0.7411874\",\n \"0.71795857\",\n \"0.7164551\",\n \"0.7093145\",\n \"0.70451295\",\n \"0.7003762\",\n \"0.6964044\",\n \"0.6957051\",\n \"0.69474083\",\n \"0.69140154\",\n \"0.6902639\",\n \"0.6899539\",\n \"0.689424\",\n \"0.68331915\",\n \"0.6778727\",\n \"0.6763307\",\n \"0.67618555\",\n \"0.67281747\",\n \"0.67278504\",\n \"0.6709218\",\n \"0.6695062\",\n \"0.6671794\",\n \"0.66450155\",\n \"0.66450155\",\n \"0.6635325\",\n \"0.6595353\",\n \"0.6595353\",\n \"0.65942097\",\n \"0.65750444\",\n \"0.6553992\",\n \"0.6518686\",\n \"0.64975566\",\n \"0.649422\",\n \"0.6493683\",\n \"0.64797336\",\n \"0.64759594\",\n \"0.647179\",\n \"0.6456088\",\n \"0.64260495\",\n \"0.6405127\",\n \"0.63999206\",\n \"0.63590616\",\n \"0.6314596\",\n \"0.6312331\",\n \"0.63112074\",\n \"0.63101745\",\n \"0.63019747\",\n \"0.62998205\",\n \"0.6296527\",\n \"0.6282713\",\n \"0.62718004\",\n \"0.6263799\",\n \"0.6257506\",\n \"0.6255676\",\n \"0.6234814\",\n \"0.6233722\",\n \"0.62276804\",\n \"0.6212624\",\n \"0.61975944\",\n \"0.61956865\",\n \"0.6194854\",\n \"0.6180484\",\n \"0.6180018\",\n \"0.6169097\",\n \"0.6155485\",\n \"0.61518115\",\n \"0.6149813\",\n \"0.6148245\",\n \"0.6138977\",\n \"0.6138977\",\n \"0.61180615\",\n \"0.611176\",\n \"0.610659\",\n \"0.6095637\",\n \"0.6095637\",\n \"0.6081213\",\n \"0.60690576\",\n \"0.6048037\",\n \"0.6041973\",\n \"0.6041973\",\n \"0.6041973\",\n \"0.6041973\",\n \"0.6038194\",\n \"0.602639\",\n \"0.6021215\",\n \"0.6017882\",\n \"0.59709704\",\n \"0.5970435\",\n \"0.595127\",\n \"0.59419703\",\n \"0.59336615\",\n \"0.592663\",\n \"0.59125483\",\n \"0.5909505\",\n \"0.5889641\",\n \"0.5877696\",\n \"0.5876084\",\n \"0.58727354\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6298618"},"document_rank":{"kind":"string","value":"50"}}},{"rowIdx":170,"cells":{"query":{"kind":"string","value":"insert a value into the heap"},"document":{"kind":"string","value":"insert(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tif (size === 0) {\r\n\t\t\tthis.heap.push(data);\r\n\t\t} else {\r\n\t\t\tthis.heap.push(data);\r\n\r\n\t\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t\t}\r\n\t\t}\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["insert(value) {\n // Insert value to the end of array\n // Perform siftUp to correct position of value in the heap tree\n this.heap.push(value);\n this.siftUp(this.heap.length - 1, this.heap);\n }","insert(value) {\n\t\tthis.heap.push(value);\n\t\t// calling heapify function to reconstruct array to heap property\n\t\tthis.heapify();\n\t}","insert(val) {\n this.array.push(val);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// push value to end of array (add node to farthest bottom left of tree)\n\n this.siftUp(this.array.length - 1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuously swap value toward front of array to maintain maxHeap property\n }","insert(value, priority) {\n var node = new Node(value, priority);\n\n this.heap.push(node);\n\n let currentNodeIdx = this.heap.length - 1;\n let currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\n\n while (\n this.heap[currentNodeParentIdx] &&\n priority > this.heap[currentNodeParentIdx].priority\n ) {\n const parent = this.heap[currentNodeParentIdx]; // swap\n this.heap[currentNodeParentIdx] = node;\n this.heap[currentNodeIdx] = parent;\n\n currentNodeIdx = currentNodeParentIdx; // update pointers\n currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\n }\n }","function pq_insert(heap, new_element) {\n var eIntIdx = heap.length;\n var prntIdx = Math.floor((eIntIdx - 1 ) / 2);\n heap.push(new_element);\n var heaped = (eIntIdx <= 0) || (heap[prntIdx].priority <= heap[eIntIdx]).priority;\n\n while(!heaped){\n var tmp = heap[prntIdx];\n heap[prntIdx] = heap[eIntIdx];\n heap[eIntIdx] = tmp;\n\n eIntIdx = prntIdx;\n prntIdx = Math.floor((eIntIdx - 1)/2);\n heaped = (eIntIdx <= 0) ||(heap[prntIdx].priority <= heap[eIntIdx].priority);\n }\n // STENCIL: implement your min binary heap insert operation\n}","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}","insert(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tif (size === 0) {\r\n\t\t\tthis.heap.push(data);\r\n\t\t} else {\r\n\t\t\tthis.heap.push(data);\r\n\r\n\t\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\t\tthis.minHeapify(this.heap, this.heap.length, i);\r\n\t\t\t}\r\n\t\t}\r\n\t}","function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }","function minheap_insert(heap, new_element) {\n var length = heap.push(new_element);\n var child = length - 1;\n var parent = (child + child%2)/2 - 1;\n while(parent >= 0 && heap[child] < heap[parent]){\n swap(heap,parent,child);\n child = parent;\n parent = (child + child%2)/2 - 1;\n }\n // STENCIL: implement your min binary heap insert operation\n}","insert(key) {\n /*\n * Add the key to the end of the heap and increment n, then swim up the\n * heap to fix any violations that have arisen.\n */\n this.heap[++this.n] = key;\n this.swim(this.n);\n }","function minheap_insert(heap, new_element) {\n heap.push(new_element);\n var index = heap.length - 1;\n while(index > 0){\n var parent = Math.floor((index+1)/2)-1;\n if(heap[parent] > new_element){\n var temp = heap[parent];\n heap[parent] = new_element;\n heap[index] = temp;\n }\n index = parent;\n }\n // STENCIL: implement your min binary heap insert operation\n}","function minheap_insert(heap, new_element) \n{\n \n var adj,temp;\n heap.push(new_element);\n for (adj=heap.length-1;adj>0;adj=Math.floor((adj-1)/2))\n {\n if (new_element < heap[Math.floor((adj-1)/2)]) // use to swap those two numbers\n {\n temp = new_element;\n heap[adj] = heap[Math.floor((adj-1)/2)];\n heap[Math.floor((adj-1)/2)] = temp; \n }\n }\n return;\n}","add(key, value = key) {\n const node = new HeapNode(key, value);\n const i = this.store.push(node) - 1;\n this.heapUp(i);\n // console.log(this.store);\n }","insert(item) {\n this.heap.push(item);\n this.size++;\n\n // put it at the end\n let i = this.size - 1;\n this.locations.set(this.hash(item), i);\n\n while (i > 0) {\n let parent = this.parentIndex(i);\n\n if (this.validParent(i, parent))\n break;\n\n // swap item places\n this.heap[i] = this.heap[parent];\n this.heap[parent] = item;\n\n // set locations on the swap\n this.locations.set(this.hash(item), parent);\n this.locations.set(this.hash(this.heap[i]), i);\n\n i = parent;\n }\n }","insert(val) {\n if (typeof val === 'undefined') return;\n this.storage.push(val);\n this.bubbleUp(this.storage.length - 1);\n this.size++;\n // console.log('val: ',val, ' storage: ', this.storage.toString());\n }","insert(val) {\n if (this.storage[0] === null) {\n this.storage[0] = val;\n this.size++;\n return;\n }\n this.storage.push(val);\n this.size++;\n this.bubbleUp(this.size - 1);\n }","add(value) {\r\n this.heapContainer.push(value);\r\n this.heapifyUp();\r\n }","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","insert(key, value) {\n let index = this._hash(key, this._tableSize);\n\n if (!this._storage[index]) this._storage[index] = new LinkedList();\n\n let pair = new LinkedList(key);\n pair.add(value);\n this._storage[index].add(pair);\n this._currentSize++;\n\n if (this._isHalfSizeReached()) {\n this._resizing();\n }\n }","function insert(arr, num) {\n console.log('Heap')\n console.log(arr)\n console.log('inserting: '+num)\n arr.push(num)\n console.log(arr)\n\n var childPos = arr.length-1\n var parentPos = Math.floor((arr.length-1)/2)\n var child = arr[childPos]\n var parent = arr[parentPos]\n\n console.log('child: '+child)\n console.log('child position: '+childPos)\n console.log('parent: '+parent)\n console.log('parent position: '+parentPos)\n\n recurse()\n\n function recurse() {\n if (parent === undefined){return}\n if(child >= parent){\n return arr\n }\n console.log('Child is less than parent, swapping...')\n arr[childPos] = parent\n arr[parentPos] = child\n console.log('new array')\n console.log(arr)\n\n childPos = parentPos\n console.log('new child: '+child)\n console.log('new child position: '+childPos)\n\n parentPos = Math.floor((parentPos-1)/2)\n parent = arr[parentPos]\n console.log('new parent: '+parent)\n console.log('new parent position: '+parentPos)\n\n\n return recurse(child, parent)\n }\n}","push(value){\r\n this.top += 1;\r\n this.storage[this.top] = value;\r\n }","insert_num(num) {\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\n this.maxHeap.insert(num);\n } else {\n this.minHeap.insert(num);\n }\n\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\n this.minHeap.insert(this.maxHeap.extractMax());\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\n this.maxHeap.insert(this.minHeap.remove());\n }\n }","insert(key, value) {\n const index = getIndexBelowMax(key.toString(), this.limit);\n const bucket = this.storage.get(index);\n this.doubleStorage();\n if (bucket === undefined) {\n this.storage.set(index, [[key, value]]);\n return;\n }\n for (let i = 0; i < bucket.length; i++) {\n if (bucket[i][0] === key) {\n bucket[i][1] = value;\n this.storage.set(index, bucket);\n return;\n }\n }\n bucket.push([key, value]);\n this.storage.set(index, bucket);\n }","_insert(node, value) {\n if (node === null) {\n return new Node(value, null, null);\n }\n\n // Passing to childnodes and update\n var side = ~~(value > node.value);\n node.children[side] = this._insert(node.children[side], value);\n\n // Keep it balance\n if (node.children[side].key < node.key) {\n return node.rotate(side);\n }\n return node.resize();\n }","insert(value) {\n if (value === this.key) {\n return;\n }\n\n if (value < this.key) {\n if (this.left) {\n return this.left.insert(value);\n }\n\n this.left = new Node(value);\n\n return value;\n }\n\n if (this.right) {\n return this.right.insert(value);\n }\n\n this.right = new Node(value);\n\n return value;\n }","insert(value) {\n this.storage.push(value);\n this.bubbleUp();\n }","insert(value) {\n this.head = new Node(value, this.head);\n }","push(value) {\n if (!this.top) {\n this.top = new NodeWithMin(value, value);\n this.min = this.top.min;\n } else { // this.top is present on the stack\n let newMin = Math.min(value, this.min);\n let newTop = new NodeWithMin(value, newMin);\n newTop.next = this.top;\n this.top = newTop;\n this.min = newMin;\n }\n }","insert (key, value) {\n value = value || key;\n\n //leafs need to insert the value at themself and make new leaf children\n if(this.height == 0) {\n this.key = key;\n this.value = value || key;\n this.left = new BinarySearchTree(this);\n this.right = new BinarySearchTree(this);\n this.height = 1;\n this.numLeftChildren = 1;\n this.numRightChildren = 1;\n return;\n }\n\n if(key == this.key) return;\n\n if(key < this.key) {\n this.numLeftChildren++;\n this.left.insert(key);\n this.height = Math.max(this.height, 1 + this.left.height);\n }\n if(key >= this.key) {\n this.numRightChildren++;\n this.right.insert(key);\n this.height = Math.max(this.height, 1 + this.right.height);\n }\n\n this.rebalance();\n }","insert(i, key) {\n\t\tea && assert(i > 0 && this.valid(i),\n\t\t\t\t\t `ArrayHeap.insert: invalid item ${i}`);\n\t\tif (this.contains(i)) { this.changekey(i,key); return; }\n\t\tif (i > this.n) this.expand(i);\n\t\tthis.#key[i] = key - this.#offset; this.#m++; this.siftup(i, this.m);\n\t}","insert(val){\r\n this.values.push(val);\r\n this.bubbleUp();\r\n }","enqueue(value, priority) {\n const newEntry = new Entry(value, priority);\n this.values.push(newEntry);\n let curr = this.values.length - 1;\n let parent = Math.floor((curr - 1) / 2);\n while (\n curr > 0 &&\n this.values[parent].priority > this.values[curr].priority\n ) {\n const temp = this.values[parent];\n this.values[parent] = this.values[curr];\n this.values[curr] = temp;\n curr = parent;\n parent = Math.floor((curr - 1) / 2);\n }\n }","insert(value) {\n if (value < this.value) {\n if (this.left === null) {\n this.left = new BinarySearchTree(value);\n } else {\n this.left.insert(value);\n }\n } else if (value > this.value) {\n if (this.right === null) {\n this.right = new BinarySearchTree(value);\n } else {\n this.right.insert(value);\n }\n }\n }","insert(value) {\n if (!this.head) {\n return this.push(value);\n } else {\n let temp = this.head;\n while (temp.forward.value > temp.value && value > temp.forward.value) {\n temp = temp.forward;\n }\n temp.forward = new Node(value);\n temp.forward.back = temp;\n temp.forward.forward = this.head;\n }\n this.size++;\n return true;\n }","function heapAddNode(){\n setClass(nodes[heapSize], 2, \"Current\"); //set the first Node to the heap\n currentHeapPosition = heapSize;\n addStep(\"Add Node \" + (heapSize + 1) + \" to the heap and set it to \\\"current\\\".\");\n makeHeapStep = 2;\n}","insertKeyValuePair(key, value) {\r\n if (!(key in this.cache)) {\r\n if (this.currentSize === this.maxSize) {\r\n this.evictLeastRecent();\r\n } else {\r\n this.currentSize++;\r\n }\r\n this.cache[key] = new DoublyLinkedListNode(key, value);\r\n } else {\r\n this.replaceKey(key, value);\r\n }\r\n this.updateMostRecent(this.cache[key]);\r\n }","insert(value) {\n this.values.push(value)\n let index = this.values.length - 1\n let parentIndex \n while (!!index) {\n parentIndex = Math.floor((index-1)/2)\n if (this.values[parentIndex]>this.values[index]) break\n this.values[index] = this.values[parentIndex]\n this.values[parentIndex] = value\n index = parentIndex\n }\n return this\n }","function insert() {\n var value = Math.floor(Math.random() * 9999);\n console.log(\"INS \" + value);\n values.push(value);\n tree.insert(value);\n}","insert(item, priority) {\n if (item == null) return;\n if (item in this._indexLookup) {\n return this.changePriority(item, priority);\n }\n\n this._indexLookup[item] = this._size;\n this._priorityHeap.push(priority);\n this._elementHeap.push(item);\n\n this._fixTopHeap(this._size);\n this._size++;\n }","insertKeyValuePair(key, value) {\n if (!(key in this.cache)) {\n if (this.currentSize === this.maxSize) {\n this.evictLeastRecent();\n } else {\n this.currentSize++;\n }\n this.cache[key] = new DoublyLinkedListNode(key, value);\n } else {\n this.replaceKey(key, value);\n }\n this.updateMostRecent(this.cache[key]);\n }","enqueue(val, priority) {\r\n let newNode = new Node(val, priority);\r\n this.values.push(element);\r\n this.bubbleUp();\r\n }","push(value) {\n const newNode = new _Node(value);\n\n // 先判斷top目前是否為null (表示目前this.top沒有任何節點)\n if (this.top === null) {\n this.top = newNode;\n return;\n }\n\n // 如果已經有節點存在，把目前this.top的節點地址傳給 寫入新節點的.next property\n // 這時候目前this.top所代表的節點已經儲存在newNode.next\n newNode.next = this.top;\n this.top = newNode; // 用新節點取代、並作為新的this.top\n }","enqueue(value, priority){\n let newNode = new Node(value, priority);\n this.values.push(newNode);\n this.bubbleUp();\n }","push(value) {\n\t\tconst newNode = new Node(value);\n\t\tif (this.length == 0) {\n\t\t\tthis.top = newNode;\n\t\t\tthis.bottom = newNode;\n\t\t} else {\n\t\t\tconst holdingPointer = this.top;\n\t\t\tthis.top = newNode;\n\t\t\tthis.top.next = holdingPointer;\n\t\t}\n\t\tthis.length++;\n\t}","insert(key, value) {\n const index = getIndexBelowMax(key, this.limit);\n // let bucket = this.storage[index];\n if (!this.storage.hasOwnProperty(index)) {\n this.storage.storage[index] = [];\n }\n if(!this.storage.storage[index].hasOwnProperty(key)){\n this.limit++;\n this.storage.limit++;\n }\n this.storage.storage[index] = [key, value];\n //this.storage.set(key, index);\n // return this.storage[index][key];\n // return this.storage[index];\n }","insert(k, v) {\n var index = getIndexBelowMaxForKey(k, this._limit);\n var indexBucket = this._storage.get(index);\n \n if (indexBucket === undefined) {\n this._storage.set(index, [[k, v]]); \n } else { \n for (var i = 0; i < indexBucket.length; i++) {\n if (indexBucket[i][0] === k) {\n indexBucket[i][1] = v;\n } else {\n indexBucket.push([k, v]); \n }\n }\n this._storage.set(index, indexBucket);\n }\n }","push(value) {\n if (!this.head) {\n this.head = new Node(value);\n this.head.forward = this.head;\n this.head.back = this.head;\n } else if (this.head.back.value < value) {\n let temp = this.head.back;\n\n temp.forward = new Node(value);\n temp.forward.back = temp;\n temp.forward.forward = this.head;\n\n this.head.back = temp.forward;\n } else {\n return false;\n }\n\n this.size++;\n return true;\n }","insert(key, value) {\n if (!isNaN(key) && key < this.limit) {\n this.storage.set(key, value);\n this.storage.incrementLength();\n } else if (this.storage.get(getIndexBelowMax(key)) !== undefined || null) {\n const current = this.storage.get(getIndexBelowMax(key));\n const newArray = [[0, current], [key, value]];\n this.storage.set(getIndexBelowMax(key), newArray);\n this.storage.incrementLength();\n } else {\n this.storage.set(getIndexBelowMax(key), value);\n this.storage.incrementLength();\n }\n if (this.storage.length >= (0.75 * this.limit)) {\n this.limit *= 2;\n }\n }","insertKey(k) {\n\n this.harr.push(k)\n let i = this.harr.length - 1\n\n let parentInd = this.parent(i)\n\n while (i != 0 && parentInd > harr[i]) {\n\n this.swap(i, parentInd)\n\n i = parentInd\n parentInd = this.parent(i)\n\n }\n\n }","insert(value){\n if (this.head === null){\n this.head = new Node(value);\n }\n }","insert(key, value) {\n this.root = this._insert(key, value, this.root);\n }","push(value) {\n const node = new Node(value);\n if (!this.top) this.top = node;\n else {\n node.next = this.top;\n this.top = node;\n }\n }","insert(value) {\n let newNode = new Node(value);\n if (!this.root) {\n return this.root = newNode;\n } else {\n let current = this.root;\n while (current) {\n if (value < current.value) {\n if (!current.left) {\n return current.left = newNode;\n }\n current = current.left;\n } else {\n if (!current.right) {\n return current.right = newNode;\n }\n current = current.right;\n }\n }\n }\n }","insert(index_num, value){\n if(index_num<0 || index_num>this.length){\n console.log(\"INSERT - false\");\n return false;\n }\n if(index_num===0){\n this.unshift(value);\n console.log(\"INSERT using UNSHIFT - true\");\n return true;\n } \n if(index_num===this.length){\n this.push(value);\n console.log(\"INSERT using PUSH - true\");\n return true;\n } \n let newNode = new Node(value);\n let before_position = this.get(index_num-1); // 1. we neet to find item at the position one before!!\n let needed_position = before_position.next;\n before_position.next = newNode;\n newNode.next = needed_position;\n this.length +=1;\n console.log(\"INSERT - true\");\n return true;\n }","insert (key, value) {\n const newTree = this.tree.insert(key, value)\n\n // If newTree is undefined, that means its structure was not modified\n if (newTree) { this.tree = newTree }\n }","insert (key, value) {\n // Empty tree, insert as root\n if (!Object.prototype.hasOwnProperty.call(this, 'key')) {\n this.key = key\n this.data.push(value)\n return\n }\n\n // Same key as root\n if (this.compareKeys(this.key, key) === 0) {\n if (this.unique) {\n const err = new Error(`Can't insert key ${key}, it violates the unique constraint`)\n err.key = key\n err.errorType = 'uniqueViolated'\n throw err\n } else this.data.push(value)\n return\n }\n\n if (this.compareKeys(key, this.key) < 0) {\n // Insert in left subtree\n if (this.left) this.left.insert(key, value)\n else this.createLeftChild({ key: key, value: value })\n } else {\n // Insert in right subtree\n if (this.right) this.right.insert(key, value)\n else this.createRightChild({ key: key, value: value })\n }\n }","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","insert ( value ) {\n const node = new Node( value )\n\n if ( this.head === null ) {\n this.head = node\n this.tail = node\n } else {\n this.tail.next = node\n node.prev = this.tail\n this.tail = node\n }\n\n this.count++\n }","insert(value) {\n this.count++;\n let newNode = new Node(value)\n const searchTree = (node) => {\n // if value < node.value, go left\n if (value < node.value) {\n // if no left child, append new node\n if (!node.left) {\n node.left = newNode; \n // if left child, look left again\n } else {\n searchTree(node.left);\n }\n }\n // if value > node.value, go right\n if (value > node.value ) {\n // if no right child, append new node\n if (!node.right) {\n node.right = newNode;\n // if right child, look right again\n } else {\n searchTree(node.right);\n }\n }\n }\n searchTree(this.root);\n }","function push(val) {\n stack[++topp] = val;\n \n}","push(value) {\n this.stackData.push(value);\n this.length++;\n if (this.length === 1) {\n this.bottom = this.stackData[0];\n }\n this.top = this.stackData[this.length - 1];\n }","push(value) {\n //1. Push value in mainStack and check that value with the top value of minStack\n //2. If the pushed value is greater than the value of top, then push top in minStack\n //else push the value in minStack\n this.mainStack.push(value)\n\n if (value > this.minStack.getTop() && !this.minStack.isEmpty())\n this.minStack.push(this.minStack.getTop())\n else\n this.minStack.push(value)\n \n }","enqueue(val, priority) {\n if (!val || priority < 0) return false;\n\n const newNode = new Node(val, priority),\n VALS = this.values;\n\n // new node gets inserted at the end of the queue\n VALS.push(newNode);\n\n // if there's only one item, nothing else needs to be done\n if (VALS.length === 1) return this;\n\n // grab the index of the newly inserted node\n let nIdx = VALS.length - 1;\n\n while (true) {\n // calculate the new node's parent's index\n let pIdx = Math.floor((nIdx - 1) / 2);\n\n // as long as nIdx is greater than zero\n // (to prevent out-of-bound indices)\n // and the priority of the value at nIdx\n // is higher (i.e. the number is smaller)\n if (nIdx && VALS[nIdx].priority < VALS[pIdx].priority) {\n // keep swapping and recalculating indices\n this.swapNodes(pIdx, nIdx);\n nIdx = pIdx;\n } else return this;\n }\n }","insert(key, value) {\n let index = this.makeHash(key);\n let bucket = this.storage[index];\n let item = new Node(key, value);\n \n // Create a new bucket if none exist\n if (!bucket) {\n bucket = new List(item);\n this.storage[index] = bucket; \n bucket.count++;\n this.count++;\n \n return 'New bucket created';\n } \n else {\n let current = bucket.head;\n \n // If the head has null next it is there is only one node in the list\n if (!current.next) {\n current.next = item;\n }\n else {\n // move to the end of the list\n while(current.next) {\n current = current.next;\n }\n \n current.next = item;\n }\n bucket.count++;\n this.count++;\n \n return 'New item placed in bucket at position ' + bucket.count;\n }\n }","insert(index, value) {\n const newNode = new Node(value);\n const leader = this.traverseToIndex(index);\n const holdingPointer = leader.next;\n leader.next = newNode;\n newNode.next = holdingPointer;\n this.length++;\n \n }","push (value) {\n const newNode = new Node(value)\n\n if (this.length === 0) {\n this.top = newNode\n this.bottom = newNode\n } else {\n newNode.next = this.top\n this.top = newNode\n }\n\n this.length++\n // this.printStack()\n }","modify(item, priority) {\n let location = this.locations.get(this.hash(item));\n\n if (location === null || location === undefined)\n throw Error(\"This object doesn't exist in the heap\");\n\n // remove and re-add\n let heapItem = this.heap.splice(location, 1);\n this.locations.delete(this.hash(heapItem));\n\n // modify\n if (this.priorityName) {\n heapItem = item;\n heapItem[this.priorityName] = priority;\n }\n else\n heapItem = priority;\n\n // add to beginning and sink\n this.heap.unshift(item);\n this.locations.set(this.hash(item), 0);\n this.heapify(0);\n }","insert(value) {\n let swapCompleted = false;\n const newNode = new BinarySearchTree(value);\n let root = this;\n \n while (!swapCompleted) {\n if (root.value >= value) {\n if (!root.left) {\n root.left = newNode;\n swapCompleted = true;\n }\n root = root.left;\n } else {\n if (!root.right) {\n root.right = newNode;\n swapCompleted = true;\n }\n root = root.right;\n } \n }\n return newNode; \n }","push(val) {\n if (this.top == this.length - 1)\n return -999;\n this.stack[++this.top] = val;\n return 1;\n }","function setToHeap(){\n addStep(\"Current Node \" + (currentHeapPosition + 1) + \" is less than or equal to it's parent node \" + (heapParentIndex + 1) + \" the node is now in the heap proper.\");\n setClass(nodes[heapParentIndex], 2, \"Relevant\");\n setClass(nodes[currentHeapPosition], 2, \"Relevant\");\n heapSize++;\n makeHeapStep = 1;\n}","function insert(store, value, maxQueueSize) {\n return store(store => {\n return keys(store).then(keys => {\n if (keys.length >= maxQueueSize) {\n return;\n }\n\n // We insert with an incremented key so that the entries are popped in order\n store.put(value, Math.max(...keys, 0) + 1);\n return promisifyRequest(store.transaction);\n });\n });\n}","insert(value) {\n if (!value) { return 'Please pass a value to be added'; }\n const newNode = new Node(value, this.head);\n this.head = newNode;\n return this;\n }","insert(index,value) {\n if (index < 0 || index>this.length){\n throw new Error('Index error')\n }\n if (this.length >= this._capacity){\n \n this._resize((this.length + 1)*Array.SIZE_RATIO)\n \n }\n Memory.copy(this.ptr+index+1,this.ptr+index,this.length-index)\n this.length ++\n this.set(index,value)\n \n }","insert(ind, val) {\n let nodeAtIndex = this.get(ind);\n let nodeAtPriorIndex = this.get(ind - 1);\n let newNode = new Node(val);\n\n if (ind > length || ind < 0 || this.length === 0) return;\n if (nodeAtIndex && nodeAtPriorIndex) {\n nodeAtPriorIndex.next = newNode;\n newNode.next = nodeAtIndex;\n this.length += 1;\n return true;\n } else if (!nodeAtIndex && nodeAtPriorIndex) {\n !!this.push(val);\n } else if (nodeAtIndex && !nodeAtPriorIndex) {\n !!this.unshift(val);\n }\n }","push(val) {\n this._storage[this._length] = val; \\\n this._length++;\n }","heapUp(index) {\n if (index <= 0) return;\n \n const parentIndex = this.parentIndex(index);\n if (this.store[index].key < this.store[parentIndex].key) {\n this.swap(index, parentIndex);\n this.heapUp(parentIndex);\n }\n }","insert(index, value) {\n if (index < 0 || index >= this.length) {\n throw new Error(\"Index error\");\n }\n if (this.length >= this._capacity) {\n this._resize((this.length + 1) * Array.SIZE_RATIO);\n }\n memory.copy(this.ptr + index + 1, this.ptr + index, this.length - index);\n memory.set(this.ptr + index, value);\n this.length++;\n }","insert(index, value) {\n if(index < 0 || index >= this.length) {\n throw new Error('Index error')\n }\n if(this.length >= this._capacity) {\n this._resize((this.length + 1) * this.ARRAY_SIZE_RATIO)\n }\n memory.copy(this.ptr + index + 1, this.ptr + index, this.length - index)\n //[1,2,3] ==> [1,2,2,3]\n memory.set(this.ptr + index, value)\n //[1, value, 2, 3]\n this.length++\n }","replace(/*MinHeapNode*/ root) {\n this.harr[0] = root;\n this.heapify(0);\n }","insert(element) {\n this.values.push(element)\n this._bubbleUp()\n }","enqueue(value, priority) {\n let newElement = new Node(value, priority);\n if (!this.root) {\n this.root = newElement;\n return this;\n }\n\n const queue = new Queue(this.root);\n while (queue.peek()) {\n // loop while there are not empty spaces | ensures that the queue is as compact as possible\n const node = queue.dequeue();\n if (node.left) queue.enqueue(node.left);\n else {\n // I can insert on the left\n newElement.parent = node;\n node.left = newElement;\n this._updateLowestPriority(newElement);\n this._bubbleUp(newElement);\n return this;\n }\n if (node.right) queue.enqueue(node.right);\n else {\n //I can insert on the right\n newElement.parent = node;\n node.right = newElement;\n this._updateLowestPriority(newElement);\n this._bubbleUp(newElement);\n return this;\n }\n }\n }","enqueue(element, priority){\n var newElement = new QueueEntry(element, priority);\n var valueExists = false; \n\n for(var i = 0; i < this.items.length; i++){\n if(this.items[i].priority > newElement.priority) {\n this.items.splice(i, 0, newElement);\n valueExists = true; \n break; \n }\n }\n if(!valueExists){\n this.items.push(newElement);\n }\n }","insert(value){\n let node = new Node(value);\n node.next = this.head;\n this.head = node;\n }","push(val){\n var newNode = new Node(val);\n if(this.isEmpty()){\n this.top = newNode;\n this.bottom = newNode;\n }\n else{\n newNode.next = this.top;\n this.top = newNode;\n }\n this.length++;\n return this;\n }","insert(data) {\n const node = new Node(data, this.head);\n this.head = node;\n }","insert(priority, data) {\n this.fpq.add({priority, data});\n }","push(val) {\n\n\n }","function insertSorted(arr, val) {\n arr.push(val);\n var i = arr.length - 1;\n while (i > 0 && arr[i - 1] > val) {\n arr[i] = arr[i - 1];\n i--;\n }\n arr[i] = val;\n}","insert(index, val){\n if(index < 0 || index > this.length) return undefined;\n if(index === 0) return !!this.unshifting(val);\n if(index === this.length) return !!this.push(val);\n \n let newNode = new Node(val);\n let beforeNode = this.get(index-1);\n let afterNode = beforeNode.next;\n\n beforeNode.next = newNode;\n newNode.prev = beforeNode;\n afterNode.prev = newNode;\n newNode.next = afterNode;\n\n this.length++;\n console.log(true);\n }","insert(key, obj)\r\n {\r\n this.#table[int(this.#hash(key) & this.#divisor)].push(new HashEntry(key, obj));\r\n this.#count++;\r\n }","function heap(a, lo, hi) {\n\t var n = hi - lo,\n\t i = (n >>> 1) + 1;\n\t while (--i > 0) sift(a, i, n, lo);\n\t return a;\n\t }","push(value) {\n const newNode = new Node(value);\n //validamos si el stack está vacio\n if (this.length === 0) {\n this.top = newNode;\n this.bottom = newNode;\n } else {\n /**\n * al agregar un nuevo elemento, el node que en este momento esta en el top debe dejar de ser el top y el nuevo elemento\n * se convertirá en el top\n */\n const holdingPointer = this.top;\n //el newNode se convierte en el top del stack\n this.top = newNode;\n //top.next representa al nodo que está debajo del top\n this.top.next = holdingPointer;\n }\n\n this.length++;\n\n return this;\n }","insert(index, value) {\n if (index >= this.length) {\n return this.append(value);\n }\n\n const node = new Node(value);\n const leader = this.traverseToIndex(index - 1);\n const holdingPointer = leader.next;\n leader.next = node;\n node.next = holdingPointer;\n this.length++;\n return this.printList();\n }","insert(index, value) {\n if (index < 0 || index > this.length) {\n return false;\n } else if (index === 0) {\n return this.unshift(value);\n } else if (index === this.length) {\n return this.push(value);\n } else {\n const newNode = new Node(value);\n let prev = this.get(index - 1);\n let curr = prev.next;\n prev.next = newNode;\n newNode.next = curr;\n this.length++;\n return this;\n }\n }","buildHeap(left, right) {\r\n var x = this.values[left];\r\n var i = left;\r\n\r\n while(true) {\r\n let j = 2 * i;\r\n if (j > right) break;\r\n if ((j < right) && (Item.compare(this.values[j + 1], this.values[j]) >= 0)) {\r\n j++;\r\n }\r\n\r\n if (Item.compare(x, this.values[j]) >= 0) break;\r\n let temp = this.values[i];\r\n this.values[i] = this.values[j];\r\n this.values[j] = temp;\r\n\r\n this.values[i].selected = true;\r\n this.printStorage.pushTimedPrint(this.values);\r\n this.values[i].selected = false;\r\n i = j;\r\n }\r\n\r\n this.values[i] = x;\r\n\r\n this.values[i].selected = true;\r\n this.printStorage.pushTimedPrint(this.values);\r\n this.values[i].selected = false;\r\n }","push(value) {\n ListNode.link(this.tail.prev, new ListNode(value));\n this.length ++;\n }","push(value) {\n if (this.size == 0) {\n this.front = new LinkedListNode(value);\n this.back = this.front;\n } else {\n this.back.next = new LinkedListNode(value);\n this.back = this.back.next;\n }\n this.size++;\n }","insert(k, v) {\n var index = getIndexBelowMaxForKey(k, this._limit);\n if (Array.isArray(this._storage[index])) {\n var oldIndex = this._storage[index].findIndex(function(pair) {\n return pair[0] === k; \n });\n if (oldIndex >= 0) {\n this._storage[index][oldIndex].splice(1, 1, v);\n } else if (oldIndex === -1) {\n this._storage[index].push([k, v]);\n }\n\n } else {\n this._storage[index] = [[k, v]]; \n }\n //constant if no collision else linear\n }","push(val){\n let newNode = new Node(val);\n if(!this.first) {\n this.first = newNode;\n this.last = newNode;\n } else {\n let oldFirst = this.first;\n this.first = newNode;\n this.first.next = oldFirst;\n }\n return ++this.size; \n }","insert(key, value) {\n let hash = hashFunction(key);\n if(this.table[hash] === null) {\n this.table[hash] = new LinkedData(key, value);\n return true;\n }\n else {\n let head = this.table[hash];\n while(head.next !== null) head = head.next;\n head.next = new LinkedData(key, value);\n return true;\n }\n }"],"string":"[\n \"insert(value) {\\n // Insert value to the end of array\\n // Perform siftUp to correct position of value in the heap tree\\n this.heap.push(value);\\n this.siftUp(this.heap.length - 1, this.heap);\\n }\",\n \"insert(value) {\\n\\t\\tthis.heap.push(value);\\n\\t\\t// calling heapify function to reconstruct array to heap property\\n\\t\\tthis.heapify();\\n\\t}\",\n \"insert(val) {\\n this.array.push(val);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// push value to end of array (add node to farthest bottom left of tree)\\n\\n this.siftUp(this.array.length - 1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuously swap value toward front of array to maintain maxHeap property\\n }\",\n \"insert(value, priority) {\\n var node = new Node(value, priority);\\n\\n this.heap.push(node);\\n\\n let currentNodeIdx = this.heap.length - 1;\\n let currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\\n\\n while (\\n this.heap[currentNodeParentIdx] &&\\n priority > this.heap[currentNodeParentIdx].priority\\n ) {\\n const parent = this.heap[currentNodeParentIdx]; // swap\\n this.heap[currentNodeParentIdx] = node;\\n this.heap[currentNodeIdx] = parent;\\n\\n currentNodeIdx = currentNodeParentIdx; // update pointers\\n currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\\n }\\n }\",\n \"function pq_insert(heap, new_element) {\\n var eIntIdx = heap.length;\\n var prntIdx = Math.floor((eIntIdx - 1 ) / 2);\\n heap.push(new_element);\\n var heaped = (eIntIdx <= 0) || (heap[prntIdx].priority <= heap[eIntIdx]).priority;\\n\\n while(!heaped){\\n var tmp = heap[prntIdx];\\n heap[prntIdx] = heap[eIntIdx];\\n heap[eIntIdx] = tmp;\\n\\n eIntIdx = prntIdx;\\n prntIdx = Math.floor((eIntIdx - 1)/2);\\n heaped = (eIntIdx <= 0) ||(heap[prntIdx].priority <= heap[eIntIdx].priority);\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\",\n \"insert(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tif (size === 0) {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\r\\n\\t\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\t\\tthis.minHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\",\n \"function minheap_insert(heap, new_element) {\\n var length = heap.push(new_element);\\n var child = length - 1;\\n var parent = (child + child%2)/2 - 1;\\n while(parent >= 0 && heap[child] < heap[parent]){\\n swap(heap,parent,child);\\n child = parent;\\n parent = (child + child%2)/2 - 1;\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"insert(key) {\\n /*\\n * Add the key to the end of the heap and increment n, then swim up the\\n * heap to fix any violations that have arisen.\\n */\\n this.heap[++this.n] = key;\\n this.swim(this.n);\\n }\",\n \"function minheap_insert(heap, new_element) {\\n heap.push(new_element);\\n var index = heap.length - 1;\\n while(index > 0){\\n var parent = Math.floor((index+1)/2)-1;\\n if(heap[parent] > new_element){\\n var temp = heap[parent];\\n heap[parent] = new_element;\\n heap[index] = temp;\\n }\\n index = parent;\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"function minheap_insert(heap, new_element) \\n{\\n \\n var adj,temp;\\n heap.push(new_element);\\n for (adj=heap.length-1;adj>0;adj=Math.floor((adj-1)/2))\\n {\\n if (new_element < heap[Math.floor((adj-1)/2)]) // use to swap those two numbers\\n {\\n temp = new_element;\\n heap[adj] = heap[Math.floor((adj-1)/2)];\\n heap[Math.floor((adj-1)/2)] = temp; \\n }\\n }\\n return;\\n}\",\n \"add(key, value = key) {\\n const node = new HeapNode(key, value);\\n const i = this.store.push(node) - 1;\\n this.heapUp(i);\\n // console.log(this.store);\\n }\",\n \"insert(item) {\\n this.heap.push(item);\\n this.size++;\\n\\n // put it at the end\\n let i = this.size - 1;\\n this.locations.set(this.hash(item), i);\\n\\n while (i > 0) {\\n let parent = this.parentIndex(i);\\n\\n if (this.validParent(i, parent))\\n break;\\n\\n // swap item places\\n this.heap[i] = this.heap[parent];\\n this.heap[parent] = item;\\n\\n // set locations on the swap\\n this.locations.set(this.hash(item), parent);\\n this.locations.set(this.hash(this.heap[i]), i);\\n\\n i = parent;\\n }\\n }\",\n \"insert(val) {\\n if (typeof val === 'undefined') return;\\n this.storage.push(val);\\n this.bubbleUp(this.storage.length - 1);\\n this.size++;\\n // console.log('val: ',val, ' storage: ', this.storage.toString());\\n }\",\n \"insert(val) {\\n if (this.storage[0] === null) {\\n this.storage[0] = val;\\n this.size++;\\n return;\\n }\\n this.storage.push(val);\\n this.size++;\\n this.bubbleUp(this.size - 1);\\n }\",\n \"add(value) {\\r\\n this.heapContainer.push(value);\\r\\n this.heapifyUp();\\r\\n }\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"insert(key, value) {\\n let index = this._hash(key, this._tableSize);\\n\\n if (!this._storage[index]) this._storage[index] = new LinkedList();\\n\\n let pair = new LinkedList(key);\\n pair.add(value);\\n this._storage[index].add(pair);\\n this._currentSize++;\\n\\n if (this._isHalfSizeReached()) {\\n this._resizing();\\n }\\n }\",\n \"function insert(arr, num) {\\n console.log('Heap')\\n console.log(arr)\\n console.log('inserting: '+num)\\n arr.push(num)\\n console.log(arr)\\n\\n var childPos = arr.length-1\\n var parentPos = Math.floor((arr.length-1)/2)\\n var child = arr[childPos]\\n var parent = arr[parentPos]\\n\\n console.log('child: '+child)\\n console.log('child position: '+childPos)\\n console.log('parent: '+parent)\\n console.log('parent position: '+parentPos)\\n\\n recurse()\\n\\n function recurse() {\\n if (parent === undefined){return}\\n if(child >= parent){\\n return arr\\n }\\n console.log('Child is less than parent, swapping...')\\n arr[childPos] = parent\\n arr[parentPos] = child\\n console.log('new array')\\n console.log(arr)\\n\\n childPos = parentPos\\n console.log('new child: '+child)\\n console.log('new child position: '+childPos)\\n\\n parentPos = Math.floor((parentPos-1)/2)\\n parent = arr[parentPos]\\n console.log('new parent: '+parent)\\n console.log('new parent position: '+parentPos)\\n\\n\\n return recurse(child, parent)\\n }\\n}\",\n \"push(value){\\r\\n this.top += 1;\\r\\n this.storage[this.top] = value;\\r\\n }\",\n \"insert_num(num) {\\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\\n this.maxHeap.insert(num);\\n } else {\\n this.minHeap.insert(num);\\n }\\n\\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\\n this.minHeap.insert(this.maxHeap.extractMax());\\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\\n this.maxHeap.insert(this.minHeap.remove());\\n }\\n }\",\n \"insert(key, value) {\\n const index = getIndexBelowMax(key.toString(), this.limit);\\n const bucket = this.storage.get(index);\\n this.doubleStorage();\\n if (bucket === undefined) {\\n this.storage.set(index, [[key, value]]);\\n return;\\n }\\n for (let i = 0; i < bucket.length; i++) {\\n if (bucket[i][0] === key) {\\n bucket[i][1] = value;\\n this.storage.set(index, bucket);\\n return;\\n }\\n }\\n bucket.push([key, value]);\\n this.storage.set(index, bucket);\\n }\",\n \"_insert(node, value) {\\n if (node === null) {\\n return new Node(value, null, null);\\n }\\n\\n // Passing to childnodes and update\\n var side = ~~(value > node.value);\\n node.children[side] = this._insert(node.children[side], value);\\n\\n // Keep it balance\\n if (node.children[side].key < node.key) {\\n return node.rotate(side);\\n }\\n return node.resize();\\n }\",\n \"insert(value) {\\n if (value === this.key) {\\n return;\\n }\\n\\n if (value < this.key) {\\n if (this.left) {\\n return this.left.insert(value);\\n }\\n\\n this.left = new Node(value);\\n\\n return value;\\n }\\n\\n if (this.right) {\\n return this.right.insert(value);\\n }\\n\\n this.right = new Node(value);\\n\\n return value;\\n }\",\n \"insert(value) {\\n this.storage.push(value);\\n this.bubbleUp();\\n }\",\n \"insert(value) {\\n this.head = new Node(value, this.head);\\n }\",\n \"push(value) {\\n if (!this.top) {\\n this.top = new NodeWithMin(value, value);\\n this.min = this.top.min;\\n } else { // this.top is present on the stack\\n let newMin = Math.min(value, this.min);\\n let newTop = new NodeWithMin(value, newMin);\\n newTop.next = this.top;\\n this.top = newTop;\\n this.min = newMin;\\n }\\n }\",\n \"insert (key, value) {\\n value = value || key;\\n\\n //leafs need to insert the value at themself and make new leaf children\\n if(this.height == 0) {\\n this.key = key;\\n this.value = value || key;\\n this.left = new BinarySearchTree(this);\\n this.right = new BinarySearchTree(this);\\n this.height = 1;\\n this.numLeftChildren = 1;\\n this.numRightChildren = 1;\\n return;\\n }\\n\\n if(key == this.key) return;\\n\\n if(key < this.key) {\\n this.numLeftChildren++;\\n this.left.insert(key);\\n this.height = Math.max(this.height, 1 + this.left.height);\\n }\\n if(key >= this.key) {\\n this.numRightChildren++;\\n this.right.insert(key);\\n this.height = Math.max(this.height, 1 + this.right.height);\\n }\\n\\n this.rebalance();\\n }\",\n \"insert(i, key) {\\n\\t\\tea && assert(i > 0 && this.valid(i),\\n\\t\\t\\t\\t\\t `ArrayHeap.insert: invalid item ${i}`);\\n\\t\\tif (this.contains(i)) { this.changekey(i,key); return; }\\n\\t\\tif (i > this.n) this.expand(i);\\n\\t\\tthis.#key[i] = key - this.#offset; this.#m++; this.siftup(i, this.m);\\n\\t}\",\n \"insert(val){\\r\\n this.values.push(val);\\r\\n this.bubbleUp();\\r\\n }\",\n \"enqueue(value, priority) {\\n const newEntry = new Entry(value, priority);\\n this.values.push(newEntry);\\n let curr = this.values.length - 1;\\n let parent = Math.floor((curr - 1) / 2);\\n while (\\n curr > 0 &&\\n this.values[parent].priority > this.values[curr].priority\\n ) {\\n const temp = this.values[parent];\\n this.values[parent] = this.values[curr];\\n this.values[curr] = temp;\\n curr = parent;\\n parent = Math.floor((curr - 1) / 2);\\n }\\n }\",\n \"insert(value) {\\n if (value < this.value) {\\n if (this.left === null) {\\n this.left = new BinarySearchTree(value);\\n } else {\\n this.left.insert(value);\\n }\\n } else if (value > this.value) {\\n if (this.right === null) {\\n this.right = new BinarySearchTree(value);\\n } else {\\n this.right.insert(value);\\n }\\n }\\n }\",\n \"insert(value) {\\n if (!this.head) {\\n return this.push(value);\\n } else {\\n let temp = this.head;\\n while (temp.forward.value > temp.value && value > temp.forward.value) {\\n temp = temp.forward;\\n }\\n temp.forward = new Node(value);\\n temp.forward.back = temp;\\n temp.forward.forward = this.head;\\n }\\n this.size++;\\n return true;\\n }\",\n \"function heapAddNode(){\\n setClass(nodes[heapSize], 2, \\\"Current\\\"); //set the first Node to the heap\\n currentHeapPosition = heapSize;\\n addStep(\\\"Add Node \\\" + (heapSize + 1) + \\\" to the heap and set it to \\\\\\\"current\\\\\\\".\\\");\\n makeHeapStep = 2;\\n}\",\n \"insertKeyValuePair(key, value) {\\r\\n if (!(key in this.cache)) {\\r\\n if (this.currentSize === this.maxSize) {\\r\\n this.evictLeastRecent();\\r\\n } else {\\r\\n this.currentSize++;\\r\\n }\\r\\n this.cache[key] = new DoublyLinkedListNode(key, value);\\r\\n } else {\\r\\n this.replaceKey(key, value);\\r\\n }\\r\\n this.updateMostRecent(this.cache[key]);\\r\\n }\",\n \"insert(value) {\\n this.values.push(value)\\n let index = this.values.length - 1\\n let parentIndex \\n while (!!index) {\\n parentIndex = Math.floor((index-1)/2)\\n if (this.values[parentIndex]>this.values[index]) break\\n this.values[index] = this.values[parentIndex]\\n this.values[parentIndex] = value\\n index = parentIndex\\n }\\n return this\\n }\",\n \"function insert() {\\n var value = Math.floor(Math.random() * 9999);\\n console.log(\\\"INS \\\" + value);\\n values.push(value);\\n tree.insert(value);\\n}\",\n \"insert(item, priority) {\\n if (item == null) return;\\n if (item in this._indexLookup) {\\n return this.changePriority(item, priority);\\n }\\n\\n this._indexLookup[item] = this._size;\\n this._priorityHeap.push(priority);\\n this._elementHeap.push(item);\\n\\n this._fixTopHeap(this._size);\\n this._size++;\\n }\",\n \"insertKeyValuePair(key, value) {\\n if (!(key in this.cache)) {\\n if (this.currentSize === this.maxSize) {\\n this.evictLeastRecent();\\n } else {\\n this.currentSize++;\\n }\\n this.cache[key] = new DoublyLinkedListNode(key, value);\\n } else {\\n this.replaceKey(key, value);\\n }\\n this.updateMostRecent(this.cache[key]);\\n }\",\n \"enqueue(val, priority) {\\r\\n let newNode = new Node(val, priority);\\r\\n this.values.push(element);\\r\\n this.bubbleUp();\\r\\n }\",\n \"push(value) {\\n const newNode = new _Node(value);\\n\\n // 先判斷top目前是否為null (表示目前this.top沒有任何節點)\\n if (this.top === null) {\\n this.top = newNode;\\n return;\\n }\\n\\n // 如果已經有節點存在，把目前this.top的節點地址傳給 寫入新節點的.next property\\n // 這時候目前this.top所代表的節點已經儲存在newNode.next\\n newNode.next = this.top;\\n this.top = newNode; // 用新節點取代、並作為新的this.top\\n }\",\n \"enqueue(value, priority){\\n let newNode = new Node(value, priority);\\n this.values.push(newNode);\\n this.bubbleUp();\\n }\",\n \"push(value) {\\n\\t\\tconst newNode = new Node(value);\\n\\t\\tif (this.length == 0) {\\n\\t\\t\\tthis.top = newNode;\\n\\t\\t\\tthis.bottom = newNode;\\n\\t\\t} else {\\n\\t\\t\\tconst holdingPointer = this.top;\\n\\t\\t\\tthis.top = newNode;\\n\\t\\t\\tthis.top.next = holdingPointer;\\n\\t\\t}\\n\\t\\tthis.length++;\\n\\t}\",\n \"insert(key, value) {\\n const index = getIndexBelowMax(key, this.limit);\\n // let bucket = this.storage[index];\\n if (!this.storage.hasOwnProperty(index)) {\\n this.storage.storage[index] = [];\\n }\\n if(!this.storage.storage[index].hasOwnProperty(key)){\\n this.limit++;\\n this.storage.limit++;\\n }\\n this.storage.storage[index] = [key, value];\\n //this.storage.set(key, index);\\n // return this.storage[index][key];\\n // return this.storage[index];\\n }\",\n \"insert(k, v) {\\n var index = getIndexBelowMaxForKey(k, this._limit);\\n var indexBucket = this._storage.get(index);\\n \\n if (indexBucket === undefined) {\\n this._storage.set(index, [[k, v]]); \\n } else { \\n for (var i = 0; i < indexBucket.length; i++) {\\n if (indexBucket[i][0] === k) {\\n indexBucket[i][1] = v;\\n } else {\\n indexBucket.push([k, v]); \\n }\\n }\\n this._storage.set(index, indexBucket);\\n }\\n }\",\n \"push(value) {\\n if (!this.head) {\\n this.head = new Node(value);\\n this.head.forward = this.head;\\n this.head.back = this.head;\\n } else if (this.head.back.value < value) {\\n let temp = this.head.back;\\n\\n temp.forward = new Node(value);\\n temp.forward.back = temp;\\n temp.forward.forward = this.head;\\n\\n this.head.back = temp.forward;\\n } else {\\n return false;\\n }\\n\\n this.size++;\\n return true;\\n }\",\n \"insert(key, value) {\\n if (!isNaN(key) && key < this.limit) {\\n this.storage.set(key, value);\\n this.storage.incrementLength();\\n } else if (this.storage.get(getIndexBelowMax(key)) !== undefined || null) {\\n const current = this.storage.get(getIndexBelowMax(key));\\n const newArray = [[0, current], [key, value]];\\n this.storage.set(getIndexBelowMax(key), newArray);\\n this.storage.incrementLength();\\n } else {\\n this.storage.set(getIndexBelowMax(key), value);\\n this.storage.incrementLength();\\n }\\n if (this.storage.length >= (0.75 * this.limit)) {\\n this.limit *= 2;\\n }\\n }\",\n \"insertKey(k) {\\n\\n this.harr.push(k)\\n let i = this.harr.length - 1\\n\\n let parentInd = this.parent(i)\\n\\n while (i != 0 && parentInd > harr[i]) {\\n\\n this.swap(i, parentInd)\\n\\n i = parentInd\\n parentInd = this.parent(i)\\n\\n }\\n\\n }\",\n \"insert(value){\\n if (this.head === null){\\n this.head = new Node(value);\\n }\\n }\",\n \"insert(key, value) {\\n this.root = this._insert(key, value, this.root);\\n }\",\n \"push(value) {\\n const node = new Node(value);\\n if (!this.top) this.top = node;\\n else {\\n node.next = this.top;\\n this.top = node;\\n }\\n }\",\n \"insert(value) {\\n let newNode = new Node(value);\\n if (!this.root) {\\n return this.root = newNode;\\n } else {\\n let current = this.root;\\n while (current) {\\n if (value < current.value) {\\n if (!current.left) {\\n return current.left = newNode;\\n }\\n current = current.left;\\n } else {\\n if (!current.right) {\\n return current.right = newNode;\\n }\\n current = current.right;\\n }\\n }\\n }\\n }\",\n \"insert(index_num, value){\\n if(index_num<0 || index_num>this.length){\\n console.log(\\\"INSERT - false\\\");\\n return false;\\n }\\n if(index_num===0){\\n this.unshift(value);\\n console.log(\\\"INSERT using UNSHIFT - true\\\");\\n return true;\\n } \\n if(index_num===this.length){\\n this.push(value);\\n console.log(\\\"INSERT using PUSH - true\\\");\\n return true;\\n } \\n let newNode = new Node(value);\\n let before_position = this.get(index_num-1); // 1. we neet to find item at the position one before!!\\n let needed_position = before_position.next;\\n before_position.next = newNode;\\n newNode.next = needed_position;\\n this.length +=1;\\n console.log(\\\"INSERT - true\\\");\\n return true;\\n }\",\n \"insert (key, value) {\\n const newTree = this.tree.insert(key, value)\\n\\n // If newTree is undefined, that means its structure was not modified\\n if (newTree) { this.tree = newTree }\\n }\",\n \"insert (key, value) {\\n // Empty tree, insert as root\\n if (!Object.prototype.hasOwnProperty.call(this, 'key')) {\\n this.key = key\\n this.data.push(value)\\n return\\n }\\n\\n // Same key as root\\n if (this.compareKeys(this.key, key) === 0) {\\n if (this.unique) {\\n const err = new Error(`Can't insert key ${key}, it violates the unique constraint`)\\n err.key = key\\n err.errorType = 'uniqueViolated'\\n throw err\\n } else this.data.push(value)\\n return\\n }\\n\\n if (this.compareKeys(key, this.key) < 0) {\\n // Insert in left subtree\\n if (this.left) this.left.insert(key, value)\\n else this.createLeftChild({ key: key, value: value })\\n } else {\\n // Insert in right subtree\\n if (this.right) this.right.insert(key, value)\\n else this.createRightChild({ key: key, value: value })\\n }\\n }\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"insert ( value ) {\\n const node = new Node( value )\\n\\n if ( this.head === null ) {\\n this.head = node\\n this.tail = node\\n } else {\\n this.tail.next = node\\n node.prev = this.tail\\n this.tail = node\\n }\\n\\n this.count++\\n }\",\n \"insert(value) {\\n this.count++;\\n let newNode = new Node(value)\\n const searchTree = (node) => {\\n // if value < node.value, go left\\n if (value < node.value) {\\n // if no left child, append new node\\n if (!node.left) {\\n node.left = newNode; \\n // if left child, look left again\\n } else {\\n searchTree(node.left);\\n }\\n }\\n // if value > node.value, go right\\n if (value > node.value ) {\\n // if no right child, append new node\\n if (!node.right) {\\n node.right = newNode;\\n // if right child, look right again\\n } else {\\n searchTree(node.right);\\n }\\n }\\n }\\n searchTree(this.root);\\n }\",\n \"function push(val) {\\n stack[++topp] = val;\\n \\n}\",\n \"push(value) {\\n this.stackData.push(value);\\n this.length++;\\n if (this.length === 1) {\\n this.bottom = this.stackData[0];\\n }\\n this.top = this.stackData[this.length - 1];\\n }\",\n \"push(value) {\\n //1. Push value in mainStack and check that value with the top value of minStack\\n //2. If the pushed value is greater than the value of top, then push top in minStack\\n //else push the value in minStack\\n this.mainStack.push(value)\\n\\n if (value > this.minStack.getTop() && !this.minStack.isEmpty())\\n this.minStack.push(this.minStack.getTop())\\n else\\n this.minStack.push(value)\\n \\n }\",\n \"enqueue(val, priority) {\\n if (!val || priority < 0) return false;\\n\\n const newNode = new Node(val, priority),\\n VALS = this.values;\\n\\n // new node gets inserted at the end of the queue\\n VALS.push(newNode);\\n\\n // if there's only one item, nothing else needs to be done\\n if (VALS.length === 1) return this;\\n\\n // grab the index of the newly inserted node\\n let nIdx = VALS.length - 1;\\n\\n while (true) {\\n // calculate the new node's parent's index\\n let pIdx = Math.floor((nIdx - 1) / 2);\\n\\n // as long as nIdx is greater than zero\\n // (to prevent out-of-bound indices)\\n // and the priority of the value at nIdx\\n // is higher (i.e. the number is smaller)\\n if (nIdx && VALS[nIdx].priority < VALS[pIdx].priority) {\\n // keep swapping and recalculating indices\\n this.swapNodes(pIdx, nIdx);\\n nIdx = pIdx;\\n } else return this;\\n }\\n }\",\n \"insert(key, value) {\\n let index = this.makeHash(key);\\n let bucket = this.storage[index];\\n let item = new Node(key, value);\\n \\n // Create a new bucket if none exist\\n if (!bucket) {\\n bucket = new List(item);\\n this.storage[index] = bucket; \\n bucket.count++;\\n this.count++;\\n \\n return 'New bucket created';\\n } \\n else {\\n let current = bucket.head;\\n \\n // If the head has null next it is there is only one node in the list\\n if (!current.next) {\\n current.next = item;\\n }\\n else {\\n // move to the end of the list\\n while(current.next) {\\n current = current.next;\\n }\\n \\n current.next = item;\\n }\\n bucket.count++;\\n this.count++;\\n \\n return 'New item placed in bucket at position ' + bucket.count;\\n }\\n }\",\n \"insert(index, value) {\\n const newNode = new Node(value);\\n const leader = this.traverseToIndex(index);\\n const holdingPointer = leader.next;\\n leader.next = newNode;\\n newNode.next = holdingPointer;\\n this.length++;\\n \\n }\",\n \"push (value) {\\n const newNode = new Node(value)\\n\\n if (this.length === 0) {\\n this.top = newNode\\n this.bottom = newNode\\n } else {\\n newNode.next = this.top\\n this.top = newNode\\n }\\n\\n this.length++\\n // this.printStack()\\n }\",\n \"modify(item, priority) {\\n let location = this.locations.get(this.hash(item));\\n\\n if (location === null || location === undefined)\\n throw Error(\\\"This object doesn't exist in the heap\\\");\\n\\n // remove and re-add\\n let heapItem = this.heap.splice(location, 1);\\n this.locations.delete(this.hash(heapItem));\\n\\n // modify\\n if (this.priorityName) {\\n heapItem = item;\\n heapItem[this.priorityName] = priority;\\n }\\n else\\n heapItem = priority;\\n\\n // add to beginning and sink\\n this.heap.unshift(item);\\n this.locations.set(this.hash(item), 0);\\n this.heapify(0);\\n }\",\n \"insert(value) {\\n let swapCompleted = false;\\n const newNode = new BinarySearchTree(value);\\n let root = this;\\n \\n while (!swapCompleted) {\\n if (root.value >= value) {\\n if (!root.left) {\\n root.left = newNode;\\n swapCompleted = true;\\n }\\n root = root.left;\\n } else {\\n if (!root.right) {\\n root.right = newNode;\\n swapCompleted = true;\\n }\\n root = root.right;\\n } \\n }\\n return newNode; \\n }\",\n \"push(val) {\\n if (this.top == this.length - 1)\\n return -999;\\n this.stack[++this.top] = val;\\n return 1;\\n }\",\n \"function setToHeap(){\\n addStep(\\\"Current Node \\\" + (currentHeapPosition + 1) + \\\" is less than or equal to it's parent node \\\" + (heapParentIndex + 1) + \\\" the node is now in the heap proper.\\\");\\n setClass(nodes[heapParentIndex], 2, \\\"Relevant\\\");\\n setClass(nodes[currentHeapPosition], 2, \\\"Relevant\\\");\\n heapSize++;\\n makeHeapStep = 1;\\n}\",\n \"function insert(store, value, maxQueueSize) {\\n return store(store => {\\n return keys(store).then(keys => {\\n if (keys.length >= maxQueueSize) {\\n return;\\n }\\n\\n // We insert with an incremented key so that the entries are popped in order\\n store.put(value, Math.max(...keys, 0) + 1);\\n return promisifyRequest(store.transaction);\\n });\\n });\\n}\",\n \"insert(value) {\\n if (!value) { return 'Please pass a value to be added'; }\\n const newNode = new Node(value, this.head);\\n this.head = newNode;\\n return this;\\n }\",\n \"insert(index,value) {\\n if (index < 0 || index>this.length){\\n throw new Error('Index error')\\n }\\n if (this.length >= this._capacity){\\n \\n this._resize((this.length + 1)*Array.SIZE_RATIO)\\n \\n }\\n Memory.copy(this.ptr+index+1,this.ptr+index,this.length-index)\\n this.length ++\\n this.set(index,value)\\n \\n }\",\n \"insert(ind, val) {\\n let nodeAtIndex = this.get(ind);\\n let nodeAtPriorIndex = this.get(ind - 1);\\n let newNode = new Node(val);\\n\\n if (ind > length || ind < 0 || this.length === 0) return;\\n if (nodeAtIndex && nodeAtPriorIndex) {\\n nodeAtPriorIndex.next = newNode;\\n newNode.next = nodeAtIndex;\\n this.length += 1;\\n return true;\\n } else if (!nodeAtIndex && nodeAtPriorIndex) {\\n !!this.push(val);\\n } else if (nodeAtIndex && !nodeAtPriorIndex) {\\n !!this.unshift(val);\\n }\\n }\",\n \"push(val) {\\n this._storage[this._length] = val; \\\\\\n this._length++;\\n }\",\n \"heapUp(index) {\\n if (index <= 0) return;\\n \\n const parentIndex = this.parentIndex(index);\\n if (this.store[index].key < this.store[parentIndex].key) {\\n this.swap(index, parentIndex);\\n this.heapUp(parentIndex);\\n }\\n }\",\n \"insert(index, value) {\\n if (index < 0 || index >= this.length) {\\n throw new Error(\\\"Index error\\\");\\n }\\n if (this.length >= this._capacity) {\\n this._resize((this.length + 1) * Array.SIZE_RATIO);\\n }\\n memory.copy(this.ptr + index + 1, this.ptr + index, this.length - index);\\n memory.set(this.ptr + index, value);\\n this.length++;\\n }\",\n \"insert(index, value) {\\n if(index < 0 || index >= this.length) {\\n throw new Error('Index error')\\n }\\n if(this.length >= this._capacity) {\\n this._resize((this.length + 1) * this.ARRAY_SIZE_RATIO)\\n }\\n memory.copy(this.ptr + index + 1, this.ptr + index, this.length - index)\\n //[1,2,3] ==> [1,2,2,3]\\n memory.set(this.ptr + index, value)\\n //[1, value, 2, 3]\\n this.length++\\n }\",\n \"replace(/*MinHeapNode*/ root) {\\n this.harr[0] = root;\\n this.heapify(0);\\n }\",\n \"insert(element) {\\n this.values.push(element)\\n this._bubbleUp()\\n }\",\n \"enqueue(value, priority) {\\n let newElement = new Node(value, priority);\\n if (!this.root) {\\n this.root = newElement;\\n return this;\\n }\\n\\n const queue = new Queue(this.root);\\n while (queue.peek()) {\\n // loop while there are not empty spaces | ensures that the queue is as compact as possible\\n const node = queue.dequeue();\\n if (node.left) queue.enqueue(node.left);\\n else {\\n // I can insert on the left\\n newElement.parent = node;\\n node.left = newElement;\\n this._updateLowestPriority(newElement);\\n this._bubbleUp(newElement);\\n return this;\\n }\\n if (node.right) queue.enqueue(node.right);\\n else {\\n //I can insert on the right\\n newElement.parent = node;\\n node.right = newElement;\\n this._updateLowestPriority(newElement);\\n this._bubbleUp(newElement);\\n return this;\\n }\\n }\\n }\",\n \"enqueue(element, priority){\\n var newElement = new QueueEntry(element, priority);\\n var valueExists = false; \\n\\n for(var i = 0; i < this.items.length; i++){\\n if(this.items[i].priority > newElement.priority) {\\n this.items.splice(i, 0, newElement);\\n valueExists = true; \\n break; \\n }\\n }\\n if(!valueExists){\\n this.items.push(newElement);\\n }\\n }\",\n \"insert(value){\\n let node = new Node(value);\\n node.next = this.head;\\n this.head = node;\\n }\",\n \"push(val){\\n var newNode = new Node(val);\\n if(this.isEmpty()){\\n this.top = newNode;\\n this.bottom = newNode;\\n }\\n else{\\n newNode.next = this.top;\\n this.top = newNode;\\n }\\n this.length++;\\n return this;\\n }\",\n \"insert(data) {\\n const node = new Node(data, this.head);\\n this.head = node;\\n }\",\n \"insert(priority, data) {\\n this.fpq.add({priority, data});\\n }\",\n \"push(val) {\\n\\n\\n }\",\n \"function insertSorted(arr, val) {\\n arr.push(val);\\n var i = arr.length - 1;\\n while (i > 0 && arr[i - 1] > val) {\\n arr[i] = arr[i - 1];\\n i--;\\n }\\n arr[i] = val;\\n}\",\n \"insert(index, val){\\n if(index < 0 || index > this.length) return undefined;\\n if(index === 0) return !!this.unshifting(val);\\n if(index === this.length) return !!this.push(val);\\n \\n let newNode = new Node(val);\\n let beforeNode = this.get(index-1);\\n let afterNode = beforeNode.next;\\n\\n beforeNode.next = newNode;\\n newNode.prev = beforeNode;\\n afterNode.prev = newNode;\\n newNode.next = afterNode;\\n\\n this.length++;\\n console.log(true);\\n }\",\n \"insert(key, obj)\\r\\n {\\r\\n this.#table[int(this.#hash(key) & this.#divisor)].push(new HashEntry(key, obj));\\r\\n this.#count++;\\r\\n }\",\n \"function heap(a, lo, hi) {\\n\\t var n = hi - lo,\\n\\t i = (n >>> 1) + 1;\\n\\t while (--i > 0) sift(a, i, n, lo);\\n\\t return a;\\n\\t }\",\n \"push(value) {\\n const newNode = new Node(value);\\n //validamos si el stack está vacio\\n if (this.length === 0) {\\n this.top = newNode;\\n this.bottom = newNode;\\n } else {\\n /**\\n * al agregar un nuevo elemento, el node que en este momento esta en el top debe dejar de ser el top y el nuevo elemento\\n * se convertirá en el top\\n */\\n const holdingPointer = this.top;\\n //el newNode se convierte en el top del stack\\n this.top = newNode;\\n //top.next representa al nodo que está debajo del top\\n this.top.next = holdingPointer;\\n }\\n\\n this.length++;\\n\\n return this;\\n }\",\n \"insert(index, value) {\\n if (index >= this.length) {\\n return this.append(value);\\n }\\n\\n const node = new Node(value);\\n const leader = this.traverseToIndex(index - 1);\\n const holdingPointer = leader.next;\\n leader.next = node;\\n node.next = holdingPointer;\\n this.length++;\\n return this.printList();\\n }\",\n \"insert(index, value) {\\n if (index < 0 || index > this.length) {\\n return false;\\n } else if (index === 0) {\\n return this.unshift(value);\\n } else if (index === this.length) {\\n return this.push(value);\\n } else {\\n const newNode = new Node(value);\\n let prev = this.get(index - 1);\\n let curr = prev.next;\\n prev.next = newNode;\\n newNode.next = curr;\\n this.length++;\\n return this;\\n }\\n }\",\n \"buildHeap(left, right) {\\r\\n var x = this.values[left];\\r\\n var i = left;\\r\\n\\r\\n while(true) {\\r\\n let j = 2 * i;\\r\\n if (j > right) break;\\r\\n if ((j < right) && (Item.compare(this.values[j + 1], this.values[j]) >= 0)) {\\r\\n j++;\\r\\n }\\r\\n\\r\\n if (Item.compare(x, this.values[j]) >= 0) break;\\r\\n let temp = this.values[i];\\r\\n this.values[i] = this.values[j];\\r\\n this.values[j] = temp;\\r\\n\\r\\n this.values[i].selected = true;\\r\\n this.printStorage.pushTimedPrint(this.values);\\r\\n this.values[i].selected = false;\\r\\n i = j;\\r\\n }\\r\\n\\r\\n this.values[i] = x;\\r\\n\\r\\n this.values[i].selected = true;\\r\\n this.printStorage.pushTimedPrint(this.values);\\r\\n this.values[i].selected = false;\\r\\n }\",\n \"push(value) {\\n ListNode.link(this.tail.prev, new ListNode(value));\\n this.length ++;\\n }\",\n \"push(value) {\\n if (this.size == 0) {\\n this.front = new LinkedListNode(value);\\n this.back = this.front;\\n } else {\\n this.back.next = new LinkedListNode(value);\\n this.back = this.back.next;\\n }\\n this.size++;\\n }\",\n \"insert(k, v) {\\n var index = getIndexBelowMaxForKey(k, this._limit);\\n if (Array.isArray(this._storage[index])) {\\n var oldIndex = this._storage[index].findIndex(function(pair) {\\n return pair[0] === k; \\n });\\n if (oldIndex >= 0) {\\n this._storage[index][oldIndex].splice(1, 1, v);\\n } else if (oldIndex === -1) {\\n this._storage[index].push([k, v]);\\n }\\n\\n } else {\\n this._storage[index] = [[k, v]]; \\n }\\n //constant if no collision else linear\\n }\",\n \"push(val){\\n let newNode = new Node(val);\\n if(!this.first) {\\n this.first = newNode;\\n this.last = newNode;\\n } else {\\n let oldFirst = this.first;\\n this.first = newNode;\\n this.first.next = oldFirst;\\n }\\n return ++this.size; \\n }\",\n \"insert(key, value) {\\n let hash = hashFunction(key);\\n if(this.table[hash] === null) {\\n this.table[hash] = new LinkedData(key, value);\\n return true;\\n }\\n else {\\n let head = this.table[hash];\\n while(head.next !== null) head = head.next;\\n head.next = new LinkedData(key, value);\\n return true;\\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.863833","0.8331561","0.8072703","0.8005249","0.7808851","0.7681502","0.765279","0.75567305","0.75504696","0.7541238","0.751654","0.74698555","0.7361416","0.734068","0.71542877","0.7149954","0.71396136","0.7095043","0.70502484","0.70256126","0.6946853","0.6905115","0.6869419","0.68442136","0.6833562","0.6806596","0.6759595","0.67296135","0.67260015","0.672379","0.6701905","0.66944844","0.6634053","0.6627262","0.65436083","0.6518966","0.65167624","0.65120023","0.6511806","0.6501889","0.6496654","0.64791894","0.64579725","0.6454874","0.6441015","0.64368397","0.6416161","0.64151984","0.64044183","0.636769","0.6365101","0.6362858","0.6360245","0.63431966","0.6339929","0.6310419","0.6301537","0.6274993","0.62709904","0.6270006","0.62691367","0.62672734","0.6252719","0.6249277","0.62226737","0.6209372","0.6204512","0.6164609","0.61596674","0.6158491","0.615456","0.61528337","0.61496437","0.61493427","0.6148515","0.6139815","0.6139669","0.61382455","0.613205","0.6104002","0.6099081","0.6098917","0.6087798","0.6074264","0.6071602","0.6064767","0.6057246","0.60561955","0.6055963","0.6055622","0.6047691","0.60388327","0.60331166","0.6027156","0.6023851","0.6023145","0.6022469","0.601703","0.6014558","0.6013258"],"string":"[\n \"0.863833\",\n \"0.8331561\",\n \"0.8072703\",\n \"0.8005249\",\n \"0.7808851\",\n \"0.7681502\",\n \"0.765279\",\n \"0.75567305\",\n \"0.75504696\",\n \"0.7541238\",\n \"0.751654\",\n \"0.74698555\",\n \"0.7361416\",\n \"0.734068\",\n \"0.71542877\",\n \"0.7149954\",\n \"0.71396136\",\n \"0.7095043\",\n \"0.70502484\",\n \"0.70256126\",\n \"0.6946853\",\n \"0.6905115\",\n \"0.6869419\",\n \"0.68442136\",\n \"0.6833562\",\n \"0.6806596\",\n \"0.6759595\",\n \"0.67296135\",\n \"0.67260015\",\n \"0.672379\",\n \"0.6701905\",\n \"0.66944844\",\n \"0.6634053\",\n \"0.6627262\",\n \"0.65436083\",\n \"0.6518966\",\n \"0.65167624\",\n \"0.65120023\",\n \"0.6511806\",\n \"0.6501889\",\n \"0.6496654\",\n \"0.64791894\",\n \"0.64579725\",\n \"0.6454874\",\n \"0.6441015\",\n \"0.64368397\",\n \"0.6416161\",\n \"0.64151984\",\n \"0.64044183\",\n \"0.636769\",\n \"0.6365101\",\n \"0.6362858\",\n \"0.6360245\",\n \"0.63431966\",\n \"0.6339929\",\n \"0.6310419\",\n \"0.6301537\",\n \"0.6274993\",\n \"0.62709904\",\n \"0.6270006\",\n \"0.62691367\",\n \"0.62672734\",\n \"0.6252719\",\n \"0.6249277\",\n \"0.62226737\",\n \"0.6209372\",\n \"0.6204512\",\n \"0.6164609\",\n \"0.61596674\",\n \"0.6158491\",\n \"0.615456\",\n \"0.61528337\",\n \"0.61496437\",\n \"0.61493427\",\n \"0.6148515\",\n \"0.6139815\",\n \"0.6139669\",\n \"0.61382455\",\n \"0.613205\",\n \"0.6104002\",\n \"0.6099081\",\n \"0.6098917\",\n \"0.6087798\",\n \"0.6074264\",\n \"0.6071602\",\n \"0.6064767\",\n \"0.6057246\",\n \"0.60561955\",\n \"0.6055963\",\n \"0.6055622\",\n \"0.6047691\",\n \"0.60388327\",\n \"0.60331166\",\n \"0.6027156\",\n \"0.6023851\",\n \"0.6023145\",\n \"0.6022469\",\n \"0.601703\",\n \"0.6014558\",\n \"0.6013258\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7637742"},"document_rank":{"kind":"string","value":"7"}}},{"rowIdx":171,"cells":{"query":{"kind":"string","value":"remove a specific value from the heap"},"document":{"kind":"string","value":"remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["remove() {\n // Swap root value with last element in the heap\n // Pop the last element from heap array\n // Perform siftDown to correct position of swapped value\n // Return popped value\n this.swap(0, this.heap.length - 1, this.heap);\n const valueToRemove = this.heap.pop();\n this.siftDown(0, this.heap.length - 1, this.heap);\n \n return valueToRemove;\n }","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.minHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","removeMin() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","remove() {\n if (this.isEmpty()) return;\n this.swap(0, this.store.length - 1);\n const { value } = this.store.pop();\n if (!this.isEmpty()) this.heapDown(0);\n return value;\n }","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","remove(element,comparator=this.compare){\r\n let totalOccurenceOfElement=this.find(element,comparator).length;\r\n for(let i=0;i<totalOccurenceOfElement;i++){\r\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\r\n let heapSize=this.heapContainer.length;\r\n // if the element is at last index simply remove it as we\r\n // don't need to haepify\r\n if(removeIndex===heapSize-1){\r\n this.heapContainer.pop();\r\n }\r\n else{\r\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \r\n this.heapContainer.pop();\r\n let parentElement=this.getParent(removeIndex);\r\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\r\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\r\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\r\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \r\n // down side\r\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\r\n this.heapifyDown(removeIndex);\r\n }\r\n else{\r\n this.heapifyUp(removeIndex);\r\n }\r\n }\r\n \r\n }\r\n return this;\r\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","delMin() {\n /*\n * Save reference to the min key.\n * Swap the min key with the last key in the heap.\n * Decrement n so that the key does not swim back up the heap.\n * Sink down the heap to fix any violations that have arisen.\n * Delete the min key to prevent loitering, and return its reference.\n */\n let min = this.heap[1];\n\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\n this.n--;\n this.sink(1);\n this.heap[this.n+1] = null;\n\n return min;\n }","remove(item) {\n // Find number of items to remove.\n const numberOfItemsToRemove = this.find(item).length;\n\n for (let iteration = 0; iteration < numberOfItemsToRemove; iteration += 1) {\n // We need to find item index to remove each time after removal since\n // indices are being changed after each heapify process.\n const indexToRemove = this.find(item).pop();\n\n // If we need to remove last child in the heap then just remove it.\n // There is no need to heapify the heap afterwards.\n if (indexToRemove === this.heapContainer.length - 1) {\n this.heapContainer.pop();\n } else {\n // Move last element in heap to the vacant (removed) position.\n this.heapContainer[indexToRemove] = this.heapContainer.pop();\n\n // Get parent.\n const parentItem = this.parent(indexToRemove);\n\n // If there is no parent or parent is in correct order with the node\n // we're going to delete then heapify down. Otherwise heapify up.\n if (\n this.hasLeftChild(indexToRemove) &&\n (!parentItem || parentItem <= this.heapContainer[indexToRemove])\n ) {\n this.heapifyDown(indexToRemove);\n } else {\n this.heapifyUp(indexToRemove);\n }\n }\n }\n\n return this;\n }","deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.length === 2) return this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\n\n let max = this.array[1];\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// save reference to root value (max)\n\n this.array[1] = this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t // remove last val in array (farthest right node in tree), and update root value with it\n\n this.siftDown(1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\n\n return max;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// return max value\n }","pop(){\r\n if (this.top === -1){\r\n return undefined;\r\n }else{\r\n delete this.storage[this.top];\r\n this.top -= 1;\r\n }\r\n }","pop(value) {\n if (!this.length) {\n return null;\n }\n const deletedValue = this.stackData.pop();\n this.length--;\n if (!this.length) {\n this.bottom = null;\n this.top = null;\n }\n return deletedValue;\n }","heapDown(index) {\n const [leftIndex, rightIndex] = this.children(index);\n \n if (!leftIndex && !rightIndex) return;\n\n let min;\n rightIndex ? min = rightIndex : min = leftIndex;\n if ((leftIndex && rightIndex) &&\n this.store[leftIndex].key < this.store[rightIndex].key) {\n min = leftIndex;\n }\n\n if (this.store[index].key > this.store[min].key) {\n this.swap(index, min);\n this.heapDown(min);\n }\n }","removeNode (value) {\n this.nodes.delete(value)\n this.nodes.forEach(node => {\n if (node.includes(value)) {\n let newNodes = node.filter(item => item !== value)\n while (node.length > 0) {\n node.pop()\n }\n newNodes.forEach(item => node.push(item))\n }\n })\n }","remove(key) {\n this.storage.set(getIndexBelowMax(key), undefined);\n }","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","removeByValue (value) {\n\t\tthis.remove(this.findFirst(value));\n\t}","function remove() {\n var index = Math.floor(Math.random() * values.length);\n console.log(\"DEL \" + values[index]);\n tree.remove(values[index]);\n values.splice(index, 1);\n}","delete(value) {\n if (this.head.back === this.head && this.head.value === value) {\n this.head = null;\n } else {\n let temp = this.head;\n\n while (temp.value !== value) {\n if (temp.forward.value <= temp.value) {\n return false;\n }\n temp = temp.forward;\n }\n\n temp.back.forward = temp.forward;\n temp.forward.back = temp.back;\n\n if (temp === this.head) {\n this.head = temp.forward;\n }\n\n delete this.temp;\n }\n this.size--;\n return true;\n }","pop() {\n //delete the current top values within the stack\n delete this.items[this.top];\n //deduct 1 from the top to show the new top index\n this.top = this.top -1;\n }","extract() {\n\t\tif (this.isEmpty()) {\n\t\t\treturn null;\n\t\t}\n\n\t\tif (this.size() === 1) {\n\t\t\treturn this.heap.shift();\n\t\t}\n\t\tconst removedValue = this.heap[0];\n\t\tthis.heap[0] = this.heap.pop();\n\t\tthis.siftDown(0);\n\t\treturn removedValue;\n\t}","function heapDeleteRoot()\n{\n\tif (!this.isEmpty()) { \n\t\t// save root key and item pair\n\t\tvar root = [ this.h[1], this.h_item[1] ]; \n }\n\telse { //if heap is empty\n\t\treturn \"The heap is empty\";\n\t}\n\t// ... complete\n\tthis.h_item[1] = this.h_item[this.size];\n\n this.h[1] = this.h[this.size];\n this.heapify(1);\n\t\n //decrease the heap size by 1 since we delete from it\n this.size = this.size-1;\n\n\treturn root;\n}","remove(key) {\n\n // getIndexBelowMax(this.storage[key]);\n }","remove(value) {\n if (this.head === null) return;\n\n if (this.head.data === value) this.removeFirst();\n\n let prev = this.head;\n let cur = this.head;\n while (cur !== null && cur.data !== value) {\n prev = cur;\n cur = cur.next;\n }\n if (cur !== null) prev.next = cur.next;\n }","function pqdownheap(tree, k) {\n\t\tvar v = heap[k],\n\t\t\tj = k << 1; // left son of k\n\n\t\twhile (j <= heap_len) {\n\t\t\t// Set j to the smallest of the two sons:\n\t\t\tif (j < heap_len && SMALLER(tree, heap[j + 1], heap[j])) {\n\t\t\t\tj++;\n\t\t\t}\n\n\t\t\t// Exit if v is smaller than both sons\n\t\t\tif (SMALLER(tree, v, heap[j])) {\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\t// Exchange v with the smallest son\n\t\t\theap[k] = heap[j];\n\t\t\tk = j;\n\n\t\t\t// And continue down the tree, setting j to the left son of k\n\t\t\tj <<= 1;\n\t\t}\n\t\theap[k] = v;\n\t}","remove(value) {\n let currentNode = this.head;\n\n if (currentNode !== null) {\n if (currentNode.data == value) {\n this.head = currentNode.next;\n this.size--;\n } else {\n let previousNode;\n\n while (currentNode && currentNode.data !== value) {\n previousNode = currentNode;\n currentNode = currentNode.next;\n }\n\n if (currentNode && previousNode) {\n previousNode.next = currentNode.next;\n this.size--;\n } else {\n return `Given ${value} value not found !!!`;\n }\n }\n }\n }","delete(val) {\n let ind = this.values.indexOf(val)\n if(this.has(val)) {\n this.values.splice(ind, 1);\n }\n }","heapifyDown(){\n let idx = 0,\n element = this.values[idx],\n swap,\n leftChildIdx,\n rightChildIdx,\n leftChild,\n rightChild;\n while (true){\n swap = null;\n leftChildIdx = (2 * idx) + 1;\n rightChildIdx = (2 * idx) + 2;\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\n swap = leftChildIdx\n }\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\n swap = rightChildIdx;\n }\n if (swap === null) break;\n this.values[idx] = this.values[swap];\n this.values[swap] = element;\n idx = swap; \n } \n }","removekey(value) {\n\n this.root = this.remove(this.root, value)\n\n }","remove() {\n if (this.isEmpty()) throw new Error('Queue is empty!');\n const value = this.first.value;\n this.first = this.first.next;\n this.size--;\n return value;\n }","function pop(arr, value) {\n var index = arr.indexOf(value);\n if (index > -1) {\n arr.splice(index, 1);\n }\n return arr;\n}","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","removeValue(value) {\n\t\tlet currentNode = this.head\n\t\tlet index = 0\n\n\t\twhile (value != currentNode.value) {\n\t\t\tcurrentNode = currentNode.next\n\t\t\tindex++\n\t\t}\n\t\treturn this.remove(index)\n\t}","removeNode() {\n let root;\n if (!this.data.length) {\n return;\n }\n if (this.data.length === 1) {\n root = this.data.pop();\n } else {\n root = this.data[0];\n this.data[0] = this.data[this.data.length - 1];\n this.data = this.data.slice(0, this.data.length - 1);\n }\n\n this.usage.delete(root);\n this.heapifyDown(0);\n this.store.setItem(this.key + \"_searchData\", this.data);\n this.store.setItem(this.key + \"_searchUsageMap\", this.usage);\n return root;\n }","function remove(root, value) {\n //Exits and link updating/traversal is similar to \"put\"\n if (root == null) return null;\n\n if (value < root.value) root.left = remove(root.left, value);\n else if (value > root.value) root.right = remove(root.right, value);\n else {\n\n //Cases: 0, 1 or multiple children\n //0: Drop parent link\n //1: Linked list style, replace parent\n //2: Find successor of t, delete minimum in t's right subtree, x in t's original spot\n\n if (root.right == null) return root.left;\n if (root.left == null) return root.right;\n var t = _.cloneDeep(root);\n root = min(t.right);\n root.right = deleteMin(t.right);\n root.left = t.left;\n }\n root.size = size(root.left) + size(root.right) + 1;\n return root;\n}","remove(value) {\n this.root = this.removeVisitor(this.root, value)\n }","siftDown(index) {\n\t\tlet element = index;\n\t\tconst left = this.getLeftIndex(index);\n\t\tconst right = this.getRightIndex(index);\n\t\tconst size = this.size();\n\t\tif (\n\t\t\tleft < size &&\n\t\t\tthis.compareFn(this.heap[element], this.heap[left]) ===\n\t\t\t\tCompare.BIGGER_THAN\n\t\t) {\n\t\t\telement = left;\n\t\t}\n\t\tif (\n\t\t\tright < size &&\n\t\t\tthis.compareFn(this.heap[element], this.heap[right]) ===\n\t\t\t\tCompare.BIGGER_THAN\n\t\t) {\n\t\t\telement = right;\n\t\t}\n\t\tif (index !== element) {\n\t\t\tswap(this.heap, index, element);\n\t\t\tthis.siftDown(element);\n\t\t}\n\t}","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","remove(value) {\n this.root = this.removeNode(thisroot, value);\n }","remove(value) {\n let currentNode = this.head;\n\n while (currentNode.next.value !== value) {\n currentNode = currentNode.next;\n }\n const removed = currentNode.next.value;\n currentNode.next = currentNode.next.next;\n return removed;\n }","pop(value){\n if(!this.first) return null;\n var removed;\n if(this.length===1){\n removed = this.first;\n this.first= null;\n this.last = null\n }\n else {\n removed = this.first;\n this.first= this.first.next;\n \n }\n this.length--;\n return removed;\n\n }","pop(){\n if (!this.head) {\n return null;\n }\n var removed = this.head.value;\n this.head = this.head.next;\n this.length--;\n return removed;\n }","modify(item, priority) {\n let location = this.locations.get(this.hash(item));\n\n if (location === null || location === undefined)\n throw Error(\"This object doesn't exist in the heap\");\n\n // remove and re-add\n let heapItem = this.heap.splice(location, 1);\n this.locations.delete(this.hash(heapItem));\n\n // modify\n if (this.priorityName) {\n heapItem = item;\n heapItem[this.priorityName] = priority;\n }\n else\n heapItem = priority;\n\n // add to beginning and sink\n this.heap.unshift(item);\n this.locations.set(this.hash(item), 0);\n this.heapify(0);\n }","function minheap_extract(heap) {\n swap(heap,0,heap.length - 1);\n var to_pop = heap.pop();\n var parent = 0;\n var child = parent * 2 + 1;\n while(child < heap.length){\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\n child = child + 1;\n }\n if(heap[child] < heap[parent]){\n swap(heap,child,parent);\n parent = child;\n child = parent * 2 + 1; \n }\n else{\n break;\n }\n }\n return to_pop;\n // STENCIL: implement your min binary heap extract operation\n}","remove(key) {\r\n const hash = this.calculateHash(key);\r\n if(this.values.hasOwnProperty(hash) && this.values[hash].hasOwnProperty(key)) {\r\n delete this.values[hash][key];\r\n this.numberOfValues--;\r\n }\r\n }","remove(k) {\n var index = getIndexBelowMaxForKey(k, this._limit);\n var indexBucket = this._storage.get(index);\n for (var i = 0; i < indexBucket.length; i ++) {\n if (indexBucket[i][0] === k) {\n return indexBucket.splice(i, 1);\n }\n }\n }","remove(val) {\n let index = this.head;\n\n while (index != null) {\n if (index.val == val) {\n index.prev.next = index.next;\n index.next.prev = index.prev;\n this.size -= 1;\n return this;\n }\n\n index = index.next;\n }\n }","insert(value) {\n // Insert value to the end of array\n // Perform siftUp to correct position of value in the heap tree\n this.heap.push(value);\n this.siftUp(this.heap.length - 1, this.heap);\n }","extractMin() {\r\n\t\tconst min = this.heap[0];\r\n\t\tthis.remove(min);\r\n\t\treturn min;\r\n\t}","dequeue() {\n const [next] = this.values;\n this.values[0] = this.values.pop();\n let childLeft, childRight;\n let curr = 0;\n while (true) {\n let childLeftIdx = 2 * curr + 1;\n let childRightIdx = childLeft + 1;\n let swap = null;\n if (childLeftIdx < this.values.length) {\n childLeft = this.values[childLeftIdx];\n if (childLeft.priority > this.values[curr].priority) {\n swap = childLeft;\n }\n\n if (childRightIdx < this.values.length) {\n childRight = this.values[childRight];\n if (\n (swap === null &&\n childRight.priority < this.values[curr].priority) ||\n (swap !== null && childRight < childLeft.priority)\n ) {\n swap = childRightIdx;\n }\n }\n\n if (swap === null) break;\n const temp = this.values[curr];\n this.values[curr] = this.values[swap];\n this.values[swap] = temp;\n curr = swap;\n }\n }\n }","function heap(a, lo, hi) {\n\t var n = hi - lo,\n\t i = (n >>> 1) + 1;\n\t while (--i > 0) sift(a, i, n, lo);\n\t return a;\n\t }","function minheap_extract(heap) \n{\n var PrintE;\n PrintE = heap[0];\n heap[0] = heap[heap.length - 1];\n\n var a,large;\n var temp = heap.pop();\n for (a=0;a<heap.length;a=large)\n {\n if (2*a+2>heap.length)\n {break;}\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\n {\n if (heap[a]>heap[2*a+2])\n {\n temp = heap [a];\n heap[a] = heap[2*a+2];\n heap[2*a+2] = temp; \n large = 2*a+2; \n }\n else\n {break;}\n }\n else\n {\n if (heap[a]>heap[2*a+1])\n {\n temp = heap [2*a+1];\n heap[2*a+1] = heap[a];\n heap[a] = temp; \n large = 2*a+1;\n }\n else\n {break;}\n }\n }\n return PrintE;\n}","Dequeue() {\r\n if (this.heap.length == 0) return;\r\n const highestPriority = this.heap[0];\r\n const leastPriority = this.heap[this.heap.length - 1];\r\n //swap first and last priority\r\n this.heap[this.heap.length - 1] = highestPriority;\r\n this.heap[0] = leastPriority;\r\n this.heap.pop();\r\n let nodeIndex = 0; //sink down\r\n while (true) {\r\n const left = this.heap[2 * nodeIndex + 1];\r\n const right = this.heap[2 * nodeIndex + 2];\r\n const leastElement = this.heap[nodeIndex];\r\n if (\r\n right &&\r\n right.priority < left.priority &&\r\n right.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 2] = leastElement;\r\n this.heap[nodeIndex] = right;\r\n nodeIndex = 2 * nodeIndex + 2;\r\n } else if (\r\n left &&\r\n left.priority < right.priority &&\r\n left.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 1] = leastElement;\r\n this.heap[nodeIndex] = left;\r\n nodeIndex = 2 * nodeIndex + 1;\r\n } else {\r\n break;\r\n }\r\n }\r\n\r\n return highestPriority;\r\n }","remove(tree){\n let replaceWith;\n if(this.left && this.right){\n const next = this.right.getLeftmostChild();\n this.low = next.low;\n this.high = next.high;\n this.intervals = next.intervals;\n this.removeUpdateLimits();\n next.handleRemoval(tree); \n }else{\n this.handleRemoval(tree);\n }\n }","pop(val) {\n const lastValIndex = this._length - 1;\n if (lastValIndex >= 0) {\n const lastVal = this._storage[lastValIndex];\n delete this._storage[lastValIndex];\n this._length--;\n return lastVal;\n }\n return false;\n }","function heap(a, lo, hi) {\n var n = hi - lo,\n i = (n >>> 1) + 1;\n while (--i > 0) sift(a, i, n, lo);\n return a;\n }","remove(value) {\n if (this.size == 0) throw new Error('Linked list is empty');\n if (this.front.value == value) {\n this.front = this.front.next;\n if (this.size == 1) {\n this.back = this.front;\n }\n this.size--;\n return value;\n }\n let curr = this.front;\n while (curr.next) {\n if (curr.next.value == value) {\n curr.next = curr.next.next;\n if (this.back.value == value) {\n this.back = curr;\n }\n this.size--;\n return value;\n } else {\n curr = curr.next; \n }\n }\n return null; \n }","static removeValue(array, value) {\n for (var tI = array.length - 1; tI >= 0; tI--) {\n if (array[tI] === value) {\n array.splice(tI, 1);\n return tI;\n }\n }\n }","function heapDown(i) {\n\t var w = heapWeight(i)\n\t while(true) {\n\t var tw = w\n\t var left = 2*i + 1\n\t var right = 2*(i + 1)\n\t var next = i\n\t if(left < heapCount) {\n\t var lw = heapWeight(left)\n\t if(lw < tw) {\n\t next = left\n\t tw = lw\n\t }\n\t }\n\t if(right < heapCount) {\n\t var rw = heapWeight(right)\n\t if(rw < tw) {\n\t next = right\n\t }\n\t }\n\t if(next === i) {\n\t return i\n\t }\n\t heapSwap(i, next)\n\t i = next \n\t }\n\t }","function heapDown(i) {\n\t var w = heapWeight(i)\n\t while(true) {\n\t var tw = w\n\t var left = 2*i + 1\n\t var right = 2*(i + 1)\n\t var next = i\n\t if(left < heapCount) {\n\t var lw = heapWeight(left)\n\t if(lw < tw) {\n\t next = left\n\t tw = lw\n\t }\n\t }\n\t if(right < heapCount) {\n\t var rw = heapWeight(right)\n\t if(rw < tw) {\n\t next = right\n\t }\n\t }\n\t if(next === i) {\n\t return i\n\t }\n\t heapSwap(i, next)\n\t i = next \n\t }\n\t }","removeByValue(value) {\n return this.delete(this.getIndexOf(value));\n }","function pqdownheap(s, tree, k) // deflate_state *s;\n // ct_data *tree; /* the tree to restore */\n // int k; /* node to move down */\n {\n var v = s.heap[k];\n var j = k << 1;\n /* left son of k */\n\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n\n\n if (smaller(tree, v, s.heap[j], s.depth)) {\n break;\n }\n /* Exchange v with the smallest son */\n\n\n s.heap[k] = s.heap[j];\n k = j;\n /* And continue down the tree, setting j to the left son of k */\n\n j <<= 1;\n }\n\n s.heap[k] = v;\n }","function pqdownheap(s, tree, k) // deflate_state *s;\n // ct_data *tree; /* the tree to restore */\n // int k; /* node to move down */\n {\n var v = s.heap[k];\n var j = k << 1;\n /* left son of k */\n\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n\n\n if (smaller(tree, v, s.heap[j], s.depth)) {\n break;\n }\n /* Exchange v with the smallest son */\n\n\n s.heap[k] = s.heap[j];\n k = j;\n /* And continue down the tree, setting j to the left son of k */\n\n j <<= 1;\n }\n\n s.heap[k] = v;\n }","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","Remove(int, int) {\n\n }","swim(k) {\n while (k > 1 && this.heap[Math.floor(k/2)].priority > this.heap[k].priority) {\n /*\n * While not at root node, swap k (parent) with k/2 (child) if\n * parent > child. Continue swimming upwards until the invariant holds.\n */\n [this.heap[k], this.heap[Math.floor(k/2)]]\n = [this.heap[Math.floor(k/2)], this.heap[k]];\n k = Math.floor(k / 2);\n }\n }","remove(index_num){\n if(index_num<0 || index_num>=this.length) return undefined;\n if(index_num===0) return this.shift();\n if(index_num===this.length-1) return this.pop();\n\n let before_position = this.get(index_num-1); // 1. we neet to find item at the position one before!!\n let removed = before_position.next;\n before_position.next = removed.next;\n this.length -=1;\n console.log(\"REMOVE - true\");\n return removed;\n }","remove(val) {\n\n }","remove(index) {\n // accept an index.\n // check if the index is less than zero greate than the length and return undefined. \n if(index < 0 || index > this.length) { \n return undefined;\n }\n // if this index is the same as the length - -1 pop\n if(index === this.length - 1 ) { \n return this.pop();\n }\n // if the index is 0 shift. \n if(index === 0) {\n return this.shift();\n }\n // get the node before the target index. \n let beforeTargetNode = this.get(index - 1);\n // set the nedxt prop to the beforeNode to the next of the removednNode. \n let targetNode = this.get(index);\n beforeTargetNode.next = targetNode.next;\n // Decrement the length\n this.length--;\n // return the value of the removedNode\n return targetNode;\n }","remove(key) {\n let hash = this.hash(key);\n let slot = this.internalArray[hash];\n\n while (slot && slot.key !== key) {\n slot = this.internalArray[++hash % this.INTERNAL_ARRAY_SIZE];\n }\n\n if (slot) {\n const temp = slot.value;\n this.internalArray[hash % this.INTERNAL_ARRAY_SIZE] = null;\n this.counter--;\n this.reHash();\n return temp;\n } else {\n return undefined;\n }\n }","function heapDown(i) {\n var w = heapWeight(i)\n while(true) {\n var tw = w\n var left = 2*i + 1\n var right = 2*(i + 1)\n var next = i\n if(left < heapCount) {\n var lw = heapWeight(left)\n if(lw < tw) {\n next = left\n tw = lw\n }\n }\n if(right < heapCount) {\n var rw = heapWeight(right)\n if(rw < tw) {\n next = right\n }\n }\n if(next === i) {\n return i\n }\n heapSwap(i, next)\n i = next \n }\n }","extractMax() {\r\n\t\tconst max = this.heap[0];\r\n\t\tthis.remove(max);\r\n\t\treturn max;\r\n\t}","pop() {\n if (!this.first)\n return null;\n const nodeToRemove = this.first;\n this.first = this.first.next;\n this.size--;\n return nodeToRemove.value;\n }","function pqdownheap(s, tree, k) // deflate_state *s;\n// ct_data *tree; /* the tree to restore */\n// int k; /* node to move down */\n{\n var v = s.heap[k];\n var j = k << 1;\n /* left son of k */\n\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n\n\n if (smaller(tree, v, s.heap[j], s.depth)) {\n break;\n }\n /* Exchange v with the smallest son */\n\n\n s.heap[k] = s.heap[j];\n k = j;\n /* And continue down the tree, setting j to the left son of k */\n\n j <<= 1;\n }\n\n s.heap[k] = v;\n}","delete(i) {\n\t\tea && assert(i > 0);\n\t\tif (!this.contains(i)) return;\n\t\tlet j = this.itemAt(this.#m--);\n\t\tif (i != j) {\n\t\t\tif (this.#key[j] <= this.#key[i])\n\t\t\t\tthis.siftup(j, this.#pos[i]);\n\t\t\telse\n\t\t\t\tthis.siftdown(j, this.#pos[i]);\n\t\t}\n\t\tthis.#pos[i] = 0;\n\t}","remove() {\n if (!this.value) {\n this.value = this.min || 0;\n }\n const step = this.ctrl_key ? 100 : this.shift_key ? 10 : this.step || 1;\n this.value -= step;\n if (this.value < this.min) {\n this.value = this.min || 0;\n }\n this.setValue(this.value);\n }","remove(index) {\n //if index > length or smaller then zero then return false\n if (index >= this.length || index < 0) {\n return undefined;\n }\n //if index is equal to 0 then add a new element in front {use unshifting method}\n if (index === 0) {\n return this.shifting();\n\n } else\n //if index is equal to length then add a new element in last {use push method }\n if (this.length === index - 1) {\n return this.pop();\n\n }\n //store the index-1 node as pervious and index-node[to be removed node] as a deletenode\n let previousnode = this.get(index - 1);\n let deletenode = previousnode.next;\n //point the previous node ------> deletenodes.next \n /* [ 12 ----> 34 -----> 45] set the pointer of 12 ---> to point the 45 // instead of 34 \n [ 12 -----> 45] \n */\n previousnode.next = deletenode.next;\n //decreament the list return the value\n this.length--;\n return deletenode.val;\n\n }","remove() {\n\t\tif(!this.head) return null;\n\t\tlet currentNode = this.head;\n\t\tlet data= this.head.value;\n\t\tlet holdingPointer;\n\t\tif (!this.head.next){\n\t\t\tthis.head = null;\n\t\t\tthis.length--;\n\t\t\treturn data;\n\t\t}\n\t\tif (currentNode){\n\t\t\twhile(currentNode.next){\n\t\t\t\tholdingPointer = currentNode;\n\t\t\t\tcurrentNode = currentNode.next;\n\t\t\t}\n\t\t\tdata = currentNode.value\n\t\t\tholdingPointer.next = null;\n\t\t}\n\t\tthis.length--;\n\t\treturn data;\n\t}","heapUp(index) {\n if (index <= 0) return;\n \n const parentIndex = this.parentIndex(index);\n if (this.store[index].key < this.store[parentIndex].key) {\n this.swap(index, parentIndex);\n this.heapUp(parentIndex);\n }\n }","removeNodesWithValue(value) {\n if(!this.head || value === undefined) return\n\n let curr = this.head, next\n while(curr) {\n next = curr.next\n if(curr.value === value) {\n this.remove(curr)\n }\n curr = next\n }\n }","dequeue() {\n if (this.count === 0) {\n return 0;\n }\n var firstIdx = Object.keys(this.storage)[0];\n var itemToRemove = this.storage[firstIdx];\n delete this.storage[firstIdx];\n this.count -= 1;\n return itemToRemove;\n }","remove(key) {\n const index = getIndexBelowMax(key.toString(), this.limit);\n const bucket = this.storage.get(index);\n if (Array.isArray(bucket)) {\n for (let i = 0; i < bucket.length; i++) {\n const objKey = bucket[i][0];\n if (objKey === key) {\n bucket.splice(i, 1);\n }\n }\n }\n }","function pqdownheap(s, tree, k)\n// deflate_state *s;\n// ct_data *tree; /* the tree to restore */\n// int k; /* node to move down */\n {\n var v = s.heap[k];\n var j = k << 1; /* left son of k */\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len &&\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\n\n /* Exchange v with the smallest son */\n s.heap[k] = s.heap[j];\n k = j;\n\n /* And continue down the tree, setting j to the left son of k */\n j <<= 1;\n }\n s.heap[k] = v;\n }","siftUp(currentIdx, heap) {\n // Get parentNode index of node at currentIdx\n let parentIdx = Math.floor((currentIdx - 1) / 2);\n\n // While not at root index\n // Compare value at parentIdx and currentIdx\n // If currentNode < parentNode\n // Peform swap\n // re-calculate currentIdx and parentIdx \n while (currentIdx > 0 && heap[currentIdx] < heap[parentIdx]) {\n this.swap(currentIdx, parentIdx, heap);\n currentIdx = parentIdx;\n parentIdx = Math.floor((currentIdx - 1) / 2);\n }\n }","function removeAt(arr, value) {\n return arr[value]\n}","remove (index) {\n if (index < 0 || index > this.length) {\n return undefined\n } \n if (index === this.length - 1) {\n return this.pop()\n }\n if (index === 0) {\n return this.shift()\n }\n\n let preceedingNode = this.get(index-1);\n let nodeToRemove = preceedingNode.next; \n let suceedingNode = nodeToRemove.next; \n\n preceedingNode.next = suceedingNode; \n\n this.length --; \n return nodeToRemove; \n }","remove(index) {\n if (index < 0 || index >= this.length) {\n return undefined;\n }\n if (index === this.length - 1) {\n return this.pop();\n } else if (index === 0) {\n return this.shift();\n }\n\n let temp = this.get(index - 1);\n let value = temp.next.val;\n temp.next = temp.next.next;\n this.length--;\n return value;\n }","function pqdownheap(s, tree, k)\n // deflate_state *s;\n // ct_data *tree; /* the tree to restore */\n // int k; /* node to move down */\n {\n var v = s.heap[k];\n var j = k << 1; /* left son of k */\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len &&\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\n \n /* Exchange v with the smallest son */\n s.heap[k] = s.heap[j];\n k = j;\n \n /* And continue down the tree, setting j to the left son of k */\n j <<= 1;\n }\n s.heap[k] = v;\n }","dequeue() {\n if (this.tail > this.head) {\n const value = this.storage[this.head];\n delete this.storage[this.head];\n this.head++;\n return value;\n } else {\n return null;\n }\n }","remove(value) {\n let currentNode = this.head;\n if (this.head.value === value) {\n const temp = this.head.value;\n this.head = this.head.next;\n return temp;\n }\n\n while (currentNode.next.value !== value) {\n currentNode = currentNode.next;\n }\n currentNode.next = currentNode.next.next;\n return this;\n }","function pqdownheap(s, tree, k)\n// deflate_state *s;\n// ct_data *tree; /* the tree to restore */\n// int k; /* node to move down */\n{\n var v = s.heap[k];\n var j = k << 1; /* left son of k */\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n if (smaller(tree, v, s.heap[j], s.depth)) {\n break;\n }\n\n /* Exchange v with the smallest son */\n s.heap[k] = s.heap[j];\n k = j;\n\n /* And continue down the tree, setting j to the left son of k */\n j <<= 1;\n }\n s.heap[k] = v;\n}","function pqdownheap(s, tree, k)\n// deflate_state *s;\n// ct_data *tree; /* the tree to restore */\n// int k; /* node to move down */\n{\n var v = s.heap[k];\n var j = k << 1; /* left son of k */\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len &&\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\n\n /* Exchange v with the smallest son */\n s.heap[k] = s.heap[j];\n k = j;\n\n /* And continue down the tree, setting j to the left son of k */\n j <<= 1;\n }\n s.heap[k] = v;\n}","function pqdownheap(s, tree, k)\n// deflate_state *s;\n// ct_data *tree; /* the tree to restore */\n// int k; /* node to move down */\n{\n var v = s.heap[k];\n var j = k << 1; /* left son of k */\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len &&\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\n\n /* Exchange v with the smallest son */\n s.heap[k] = s.heap[j];\n k = j;\n\n /* And continue down the tree, setting j to the left son of k */\n j <<= 1;\n }\n s.heap[k] = v;\n}"],"string":"[\n \"remove() {\\n // Swap root value with last element in the heap\\n // Pop the last element from heap array\\n // Perform siftDown to correct position of swapped value\\n // Return popped value\\n this.swap(0, this.heap.length - 1, this.heap);\\n const valueToRemove = this.heap.pop();\\n this.siftDown(0, this.heap.length - 1, this.heap);\\n \\n return valueToRemove;\\n }\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.minHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"removeMin() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"removeMax() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"remove() {\\n if (this.isEmpty()) return;\\n this.swap(0, this.store.length - 1);\\n const { value } = this.store.pop();\\n if (!this.isEmpty()) this.heapDown(0);\\n return value;\\n }\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"remove(element,comparator=this.compare){\\r\\n let totalOccurenceOfElement=this.find(element,comparator).length;\\r\\n for(let i=0;i<totalOccurenceOfElement;i++){\\r\\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\\r\\n let heapSize=this.heapContainer.length;\\r\\n // if the element is at last index simply remove it as we\\r\\n // don't need to haepify\\r\\n if(removeIndex===heapSize-1){\\r\\n this.heapContainer.pop();\\r\\n }\\r\\n else{\\r\\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \\r\\n this.heapContainer.pop();\\r\\n let parentElement=this.getParent(removeIndex);\\r\\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\\r\\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\\r\\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\\r\\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \\r\\n // down side\\r\\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\\r\\n this.heapifyDown(removeIndex);\\r\\n }\\r\\n else{\\r\\n this.heapifyUp(removeIndex);\\r\\n }\\r\\n }\\r\\n \\r\\n }\\r\\n return this;\\r\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"delMin() {\\n /*\\n * Save reference to the min key.\\n * Swap the min key with the last key in the heap.\\n * Decrement n so that the key does not swim back up the heap.\\n * Sink down the heap to fix any violations that have arisen.\\n * Delete the min key to prevent loitering, and return its reference.\\n */\\n let min = this.heap[1];\\n\\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\\n this.n--;\\n this.sink(1);\\n this.heap[this.n+1] = null;\\n\\n return min;\\n }\",\n \"remove(item) {\\n // Find number of items to remove.\\n const numberOfItemsToRemove = this.find(item).length;\\n\\n for (let iteration = 0; iteration < numberOfItemsToRemove; iteration += 1) {\\n // We need to find item index to remove each time after removal since\\n // indices are being changed after each heapify process.\\n const indexToRemove = this.find(item).pop();\\n\\n // If we need to remove last child in the heap then just remove it.\\n // There is no need to heapify the heap afterwards.\\n if (indexToRemove === this.heapContainer.length - 1) {\\n this.heapContainer.pop();\\n } else {\\n // Move last element in heap to the vacant (removed) position.\\n this.heapContainer[indexToRemove] = this.heapContainer.pop();\\n\\n // Get parent.\\n const parentItem = this.parent(indexToRemove);\\n\\n // If there is no parent or parent is in correct order with the node\\n // we're going to delete then heapify down. Otherwise heapify up.\\n if (\\n this.hasLeftChild(indexToRemove) &&\\n (!parentItem || parentItem <= this.heapContainer[indexToRemove])\\n ) {\\n this.heapifyDown(indexToRemove);\\n } else {\\n this.heapifyUp(indexToRemove);\\n }\\n }\\n }\\n\\n return this;\\n }\",\n \"deleteMax() {\\n // recall that we have an empty position at the very front of the array, \\n // so an array length of 2 means there is only 1 item in the heap\\n\\n if (this.array.length === 1) return null;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if no nodes in tree, exit\\n\\n if (this.array.length === 2) return this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\\n\\n let max = this.array[1];\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// save reference to root value (max)\\n\\n this.array[1] = this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // remove last val in array (farthest right node in tree), and update root value with it\\n\\n this.siftDown(1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\\n\\n return max;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// return max value\\n }\",\n \"pop(){\\r\\n if (this.top === -1){\\r\\n return undefined;\\r\\n }else{\\r\\n delete this.storage[this.top];\\r\\n this.top -= 1;\\r\\n }\\r\\n }\",\n \"pop(value) {\\n if (!this.length) {\\n return null;\\n }\\n const deletedValue = this.stackData.pop();\\n this.length--;\\n if (!this.length) {\\n this.bottom = null;\\n this.top = null;\\n }\\n return deletedValue;\\n }\",\n \"heapDown(index) {\\n const [leftIndex, rightIndex] = this.children(index);\\n \\n if (!leftIndex && !rightIndex) return;\\n\\n let min;\\n rightIndex ? min = rightIndex : min = leftIndex;\\n if ((leftIndex && rightIndex) &&\\n this.store[leftIndex].key < this.store[rightIndex].key) {\\n min = leftIndex;\\n }\\n\\n if (this.store[index].key > this.store[min].key) {\\n this.swap(index, min);\\n this.heapDown(min);\\n }\\n }\",\n \"removeNode (value) {\\n this.nodes.delete(value)\\n this.nodes.forEach(node => {\\n if (node.includes(value)) {\\n let newNodes = node.filter(item => item !== value)\\n while (node.length > 0) {\\n node.pop()\\n }\\n newNodes.forEach(item => node.push(item))\\n }\\n })\\n }\",\n \"remove(key) {\\n this.storage.set(getIndexBelowMax(key), undefined);\\n }\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"removeByValue (value) {\\n\\t\\tthis.remove(this.findFirst(value));\\n\\t}\",\n \"function remove() {\\n var index = Math.floor(Math.random() * values.length);\\n console.log(\\\"DEL \\\" + values[index]);\\n tree.remove(values[index]);\\n values.splice(index, 1);\\n}\",\n \"delete(value) {\\n if (this.head.back === this.head && this.head.value === value) {\\n this.head = null;\\n } else {\\n let temp = this.head;\\n\\n while (temp.value !== value) {\\n if (temp.forward.value <= temp.value) {\\n return false;\\n }\\n temp = temp.forward;\\n }\\n\\n temp.back.forward = temp.forward;\\n temp.forward.back = temp.back;\\n\\n if (temp === this.head) {\\n this.head = temp.forward;\\n }\\n\\n delete this.temp;\\n }\\n this.size--;\\n return true;\\n }\",\n \"pop() {\\n //delete the current top values within the stack\\n delete this.items[this.top];\\n //deduct 1 from the top to show the new top index\\n this.top = this.top -1;\\n }\",\n \"extract() {\\n\\t\\tif (this.isEmpty()) {\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\n\\t\\tif (this.size() === 1) {\\n\\t\\t\\treturn this.heap.shift();\\n\\t\\t}\\n\\t\\tconst removedValue = this.heap[0];\\n\\t\\tthis.heap[0] = this.heap.pop();\\n\\t\\tthis.siftDown(0);\\n\\t\\treturn removedValue;\\n\\t}\",\n \"function heapDeleteRoot()\\n{\\n\\tif (!this.isEmpty()) { \\n\\t\\t// save root key and item pair\\n\\t\\tvar root = [ this.h[1], this.h_item[1] ]; \\n }\\n\\telse { //if heap is empty\\n\\t\\treturn \\\"The heap is empty\\\";\\n\\t}\\n\\t// ... complete\\n\\tthis.h_item[1] = this.h_item[this.size];\\n\\n this.h[1] = this.h[this.size];\\n this.heapify(1);\\n\\t\\n //decrease the heap size by 1 since we delete from it\\n this.size = this.size-1;\\n\\n\\treturn root;\\n}\",\n \"remove(key) {\\n\\n // getIndexBelowMax(this.storage[key]);\\n }\",\n \"remove(value) {\\n if (this.head === null) return;\\n\\n if (this.head.data === value) this.removeFirst();\\n\\n let prev = this.head;\\n let cur = this.head;\\n while (cur !== null && cur.data !== value) {\\n prev = cur;\\n cur = cur.next;\\n }\\n if (cur !== null) prev.next = cur.next;\\n }\",\n \"function pqdownheap(tree, k) {\\n\\t\\tvar v = heap[k],\\n\\t\\t\\tj = k << 1; // left son of k\\n\\n\\t\\twhile (j <= heap_len) {\\n\\t\\t\\t// Set j to the smallest of the two sons:\\n\\t\\t\\tif (j < heap_len && SMALLER(tree, heap[j + 1], heap[j])) {\\n\\t\\t\\t\\tj++;\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Exit if v is smaller than both sons\\n\\t\\t\\tif (SMALLER(tree, v, heap[j])) {\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Exchange v with the smallest son\\n\\t\\t\\theap[k] = heap[j];\\n\\t\\t\\tk = j;\\n\\n\\t\\t\\t// And continue down the tree, setting j to the left son of k\\n\\t\\t\\tj <<= 1;\\n\\t\\t}\\n\\t\\theap[k] = v;\\n\\t}\",\n \"remove(value) {\\n let currentNode = this.head;\\n\\n if (currentNode !== null) {\\n if (currentNode.data == value) {\\n this.head = currentNode.next;\\n this.size--;\\n } else {\\n let previousNode;\\n\\n while (currentNode && currentNode.data !== value) {\\n previousNode = currentNode;\\n currentNode = currentNode.next;\\n }\\n\\n if (currentNode && previousNode) {\\n previousNode.next = currentNode.next;\\n this.size--;\\n } else {\\n return `Given ${value} value not found !!!`;\\n }\\n }\\n }\\n }\",\n \"delete(val) {\\n let ind = this.values.indexOf(val)\\n if(this.has(val)) {\\n this.values.splice(ind, 1);\\n }\\n }\",\n \"heapifyDown(){\\n let idx = 0,\\n element = this.values[idx],\\n swap,\\n leftChildIdx,\\n rightChildIdx,\\n leftChild,\\n rightChild;\\n while (true){\\n swap = null;\\n leftChildIdx = (2 * idx) + 1;\\n rightChildIdx = (2 * idx) + 2;\\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\\n swap = leftChildIdx\\n }\\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\\n swap = rightChildIdx;\\n }\\n if (swap === null) break;\\n this.values[idx] = this.values[swap];\\n this.values[swap] = element;\\n idx = swap; \\n } \\n }\",\n \"removekey(value) {\\n\\n this.root = this.remove(this.root, value)\\n\\n }\",\n \"remove() {\\n if (this.isEmpty()) throw new Error('Queue is empty!');\\n const value = this.first.value;\\n this.first = this.first.next;\\n this.size--;\\n return value;\\n }\",\n \"function pop(arr, value) {\\n var index = arr.indexOf(value);\\n if (index > -1) {\\n arr.splice(index, 1);\\n }\\n return arr;\\n}\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"removeValue(value) {\\n\\t\\tlet currentNode = this.head\\n\\t\\tlet index = 0\\n\\n\\t\\twhile (value != currentNode.value) {\\n\\t\\t\\tcurrentNode = currentNode.next\\n\\t\\t\\tindex++\\n\\t\\t}\\n\\t\\treturn this.remove(index)\\n\\t}\",\n \"removeNode() {\\n let root;\\n if (!this.data.length) {\\n return;\\n }\\n if (this.data.length === 1) {\\n root = this.data.pop();\\n } else {\\n root = this.data[0];\\n this.data[0] = this.data[this.data.length - 1];\\n this.data = this.data.slice(0, this.data.length - 1);\\n }\\n\\n this.usage.delete(root);\\n this.heapifyDown(0);\\n this.store.setItem(this.key + \\\"_searchData\\\", this.data);\\n this.store.setItem(this.key + \\\"_searchUsageMap\\\", this.usage);\\n return root;\\n }\",\n \"function remove(root, value) {\\n //Exits and link updating/traversal is similar to \\\"put\\\"\\n if (root == null) return null;\\n\\n if (value < root.value) root.left = remove(root.left, value);\\n else if (value > root.value) root.right = remove(root.right, value);\\n else {\\n\\n //Cases: 0, 1 or multiple children\\n //0: Drop parent link\\n //1: Linked list style, replace parent\\n //2: Find successor of t, delete minimum in t's right subtree, x in t's original spot\\n\\n if (root.right == null) return root.left;\\n if (root.left == null) return root.right;\\n var t = _.cloneDeep(root);\\n root = min(t.right);\\n root.right = deleteMin(t.right);\\n root.left = t.left;\\n }\\n root.size = size(root.left) + size(root.right) + 1;\\n return root;\\n}\",\n \"remove(value) {\\n this.root = this.removeVisitor(this.root, value)\\n }\",\n \"siftDown(index) {\\n\\t\\tlet element = index;\\n\\t\\tconst left = this.getLeftIndex(index);\\n\\t\\tconst right = this.getRightIndex(index);\\n\\t\\tconst size = this.size();\\n\\t\\tif (\\n\\t\\t\\tleft < size &&\\n\\t\\t\\tthis.compareFn(this.heap[element], this.heap[left]) ===\\n\\t\\t\\t\\tCompare.BIGGER_THAN\\n\\t\\t) {\\n\\t\\t\\telement = left;\\n\\t\\t}\\n\\t\\tif (\\n\\t\\t\\tright < size &&\\n\\t\\t\\tthis.compareFn(this.heap[element], this.heap[right]) ===\\n\\t\\t\\t\\tCompare.BIGGER_THAN\\n\\t\\t) {\\n\\t\\t\\telement = right;\\n\\t\\t}\\n\\t\\tif (index !== element) {\\n\\t\\t\\tswap(this.heap, index, element);\\n\\t\\t\\tthis.siftDown(element);\\n\\t\\t}\\n\\t}\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"remove(value) {\\n this.root = this.removeNode(thisroot, value);\\n }\",\n \"remove(value) {\\n let currentNode = this.head;\\n\\n while (currentNode.next.value !== value) {\\n currentNode = currentNode.next;\\n }\\n const removed = currentNode.next.value;\\n currentNode.next = currentNode.next.next;\\n return removed;\\n }\",\n \"pop(value){\\n if(!this.first) return null;\\n var removed;\\n if(this.length===1){\\n removed = this.first;\\n this.first= null;\\n this.last = null\\n }\\n else {\\n removed = this.first;\\n this.first= this.first.next;\\n \\n }\\n this.length--;\\n return removed;\\n\\n }\",\n \"pop(){\\n if (!this.head) {\\n return null;\\n }\\n var removed = this.head.value;\\n this.head = this.head.next;\\n this.length--;\\n return removed;\\n }\",\n \"modify(item, priority) {\\n let location = this.locations.get(this.hash(item));\\n\\n if (location === null || location === undefined)\\n throw Error(\\\"This object doesn't exist in the heap\\\");\\n\\n // remove and re-add\\n let heapItem = this.heap.splice(location, 1);\\n this.locations.delete(this.hash(heapItem));\\n\\n // modify\\n if (this.priorityName) {\\n heapItem = item;\\n heapItem[this.priorityName] = priority;\\n }\\n else\\n heapItem = priority;\\n\\n // add to beginning and sink\\n this.heap.unshift(item);\\n this.locations.set(this.hash(item), 0);\\n this.heapify(0);\\n }\",\n \"function minheap_extract(heap) {\\n swap(heap,0,heap.length - 1);\\n var to_pop = heap.pop();\\n var parent = 0;\\n var child = parent * 2 + 1;\\n while(child < heap.length){\\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\\n child = child + 1;\\n }\\n if(heap[child] < heap[parent]){\\n swap(heap,child,parent);\\n parent = child;\\n child = parent * 2 + 1; \\n }\\n else{\\n break;\\n }\\n }\\n return to_pop;\\n // STENCIL: implement your min binary heap extract operation\\n}\",\n \"remove(key) {\\r\\n const hash = this.calculateHash(key);\\r\\n if(this.values.hasOwnProperty(hash) && this.values[hash].hasOwnProperty(key)) {\\r\\n delete this.values[hash][key];\\r\\n this.numberOfValues--;\\r\\n }\\r\\n }\",\n \"remove(k) {\\n var index = getIndexBelowMaxForKey(k, this._limit);\\n var indexBucket = this._storage.get(index);\\n for (var i = 0; i < indexBucket.length; i ++) {\\n if (indexBucket[i][0] === k) {\\n return indexBucket.splice(i, 1);\\n }\\n }\\n }\",\n \"remove(val) {\\n let index = this.head;\\n\\n while (index != null) {\\n if (index.val == val) {\\n index.prev.next = index.next;\\n index.next.prev = index.prev;\\n this.size -= 1;\\n return this;\\n }\\n\\n index = index.next;\\n }\\n }\",\n \"insert(value) {\\n // Insert value to the end of array\\n // Perform siftUp to correct position of value in the heap tree\\n this.heap.push(value);\\n this.siftUp(this.heap.length - 1, this.heap);\\n }\",\n \"extractMin() {\\r\\n\\t\\tconst min = this.heap[0];\\r\\n\\t\\tthis.remove(min);\\r\\n\\t\\treturn min;\\r\\n\\t}\",\n \"dequeue() {\\n const [next] = this.values;\\n this.values[0] = this.values.pop();\\n let childLeft, childRight;\\n let curr = 0;\\n while (true) {\\n let childLeftIdx = 2 * curr + 1;\\n let childRightIdx = childLeft + 1;\\n let swap = null;\\n if (childLeftIdx < this.values.length) {\\n childLeft = this.values[childLeftIdx];\\n if (childLeft.priority > this.values[curr].priority) {\\n swap = childLeft;\\n }\\n\\n if (childRightIdx < this.values.length) {\\n childRight = this.values[childRight];\\n if (\\n (swap === null &&\\n childRight.priority < this.values[curr].priority) ||\\n (swap !== null && childRight < childLeft.priority)\\n ) {\\n swap = childRightIdx;\\n }\\n }\\n\\n if (swap === null) break;\\n const temp = this.values[curr];\\n this.values[curr] = this.values[swap];\\n this.values[swap] = temp;\\n curr = swap;\\n }\\n }\\n }\",\n \"function heap(a, lo, hi) {\\n\\t var n = hi - lo,\\n\\t i = (n >>> 1) + 1;\\n\\t while (--i > 0) sift(a, i, n, lo);\\n\\t return a;\\n\\t }\",\n \"function minheap_extract(heap) \\n{\\n var PrintE;\\n PrintE = heap[0];\\n heap[0] = heap[heap.length - 1];\\n\\n var a,large;\\n var temp = heap.pop();\\n for (a=0;a<heap.length;a=large)\\n {\\n if (2*a+2>heap.length)\\n {break;}\\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\\n {\\n if (heap[a]>heap[2*a+2])\\n {\\n temp = heap [a];\\n heap[a] = heap[2*a+2];\\n heap[2*a+2] = temp; \\n large = 2*a+2; \\n }\\n else\\n {break;}\\n }\\n else\\n {\\n if (heap[a]>heap[2*a+1])\\n {\\n temp = heap [2*a+1];\\n heap[2*a+1] = heap[a];\\n heap[a] = temp; \\n large = 2*a+1;\\n }\\n else\\n {break;}\\n }\\n }\\n return PrintE;\\n}\",\n \"Dequeue() {\\r\\n if (this.heap.length == 0) return;\\r\\n const highestPriority = this.heap[0];\\r\\n const leastPriority = this.heap[this.heap.length - 1];\\r\\n //swap first and last priority\\r\\n this.heap[this.heap.length - 1] = highestPriority;\\r\\n this.heap[0] = leastPriority;\\r\\n this.heap.pop();\\r\\n let nodeIndex = 0; //sink down\\r\\n while (true) {\\r\\n const left = this.heap[2 * nodeIndex + 1];\\r\\n const right = this.heap[2 * nodeIndex + 2];\\r\\n const leastElement = this.heap[nodeIndex];\\r\\n if (\\r\\n right &&\\r\\n right.priority < left.priority &&\\r\\n right.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 2] = leastElement;\\r\\n this.heap[nodeIndex] = right;\\r\\n nodeIndex = 2 * nodeIndex + 2;\\r\\n } else if (\\r\\n left &&\\r\\n left.priority < right.priority &&\\r\\n left.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 1] = leastElement;\\r\\n this.heap[nodeIndex] = left;\\r\\n nodeIndex = 2 * nodeIndex + 1;\\r\\n } else {\\r\\n break;\\r\\n }\\r\\n }\\r\\n\\r\\n return highestPriority;\\r\\n }\",\n \"remove(tree){\\n let replaceWith;\\n if(this.left && this.right){\\n const next = this.right.getLeftmostChild();\\n this.low = next.low;\\n this.high = next.high;\\n this.intervals = next.intervals;\\n this.removeUpdateLimits();\\n next.handleRemoval(tree); \\n }else{\\n this.handleRemoval(tree);\\n }\\n }\",\n \"pop(val) {\\n const lastValIndex = this._length - 1;\\n if (lastValIndex >= 0) {\\n const lastVal = this._storage[lastValIndex];\\n delete this._storage[lastValIndex];\\n this._length--;\\n return lastVal;\\n }\\n return false;\\n }\",\n \"function heap(a, lo, hi) {\\n var n = hi - lo,\\n i = (n >>> 1) + 1;\\n while (--i > 0) sift(a, i, n, lo);\\n return a;\\n }\",\n \"remove(value) {\\n if (this.size == 0) throw new Error('Linked list is empty');\\n if (this.front.value == value) {\\n this.front = this.front.next;\\n if (this.size == 1) {\\n this.back = this.front;\\n }\\n this.size--;\\n return value;\\n }\\n let curr = this.front;\\n while (curr.next) {\\n if (curr.next.value == value) {\\n curr.next = curr.next.next;\\n if (this.back.value == value) {\\n this.back = curr;\\n }\\n this.size--;\\n return value;\\n } else {\\n curr = curr.next; \\n }\\n }\\n return null; \\n }\",\n \"static removeValue(array, value) {\\n for (var tI = array.length - 1; tI >= 0; tI--) {\\n if (array[tI] === value) {\\n array.splice(tI, 1);\\n return tI;\\n }\\n }\\n }\",\n \"function heapDown(i) {\\n\\t var w = heapWeight(i)\\n\\t while(true) {\\n\\t var tw = w\\n\\t var left = 2*i + 1\\n\\t var right = 2*(i + 1)\\n\\t var next = i\\n\\t if(left < heapCount) {\\n\\t var lw = heapWeight(left)\\n\\t if(lw < tw) {\\n\\t next = left\\n\\t tw = lw\\n\\t }\\n\\t }\\n\\t if(right < heapCount) {\\n\\t var rw = heapWeight(right)\\n\\t if(rw < tw) {\\n\\t next = right\\n\\t }\\n\\t }\\n\\t if(next === i) {\\n\\t return i\\n\\t }\\n\\t heapSwap(i, next)\\n\\t i = next \\n\\t }\\n\\t }\",\n \"function heapDown(i) {\\n\\t var w = heapWeight(i)\\n\\t while(true) {\\n\\t var tw = w\\n\\t var left = 2*i + 1\\n\\t var right = 2*(i + 1)\\n\\t var next = i\\n\\t if(left < heapCount) {\\n\\t var lw = heapWeight(left)\\n\\t if(lw < tw) {\\n\\t next = left\\n\\t tw = lw\\n\\t }\\n\\t }\\n\\t if(right < heapCount) {\\n\\t var rw = heapWeight(right)\\n\\t if(rw < tw) {\\n\\t next = right\\n\\t }\\n\\t }\\n\\t if(next === i) {\\n\\t return i\\n\\t }\\n\\t heapSwap(i, next)\\n\\t i = next \\n\\t }\\n\\t }\",\n \"removeByValue(value) {\\n return this.delete(this.getIndexOf(value));\\n }\",\n \"function pqdownheap(s, tree, k) // deflate_state *s;\\n // ct_data *tree; /* the tree to restore */\\n // int k; /* node to move down */\\n {\\n var v = s.heap[k];\\n var j = k << 1;\\n /* left son of k */\\n\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n\\n\\n if (smaller(tree, v, s.heap[j], s.depth)) {\\n break;\\n }\\n /* Exchange v with the smallest son */\\n\\n\\n s.heap[k] = s.heap[j];\\n k = j;\\n /* And continue down the tree, setting j to the left son of k */\\n\\n j <<= 1;\\n }\\n\\n s.heap[k] = v;\\n }\",\n \"function pqdownheap(s, tree, k) // deflate_state *s;\\n // ct_data *tree; /* the tree to restore */\\n // int k; /* node to move down */\\n {\\n var v = s.heap[k];\\n var j = k << 1;\\n /* left son of k */\\n\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n\\n\\n if (smaller(tree, v, s.heap[j], s.depth)) {\\n break;\\n }\\n /* Exchange v with the smallest son */\\n\\n\\n s.heap[k] = s.heap[j];\\n k = j;\\n /* And continue down the tree, setting j to the left son of k */\\n\\n j <<= 1;\\n }\\n\\n s.heap[k] = v;\\n }\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"Remove(int, int) {\\n\\n }\",\n \"swim(k) {\\n while (k > 1 && this.heap[Math.floor(k/2)].priority > this.heap[k].priority) {\\n /*\\n * While not at root node, swap k (parent) with k/2 (child) if\\n * parent > child. Continue swimming upwards until the invariant holds.\\n */\\n [this.heap[k], this.heap[Math.floor(k/2)]]\\n = [this.heap[Math.floor(k/2)], this.heap[k]];\\n k = Math.floor(k / 2);\\n }\\n }\",\n \"remove(index_num){\\n if(index_num<0 || index_num>=this.length) return undefined;\\n if(index_num===0) return this.shift();\\n if(index_num===this.length-1) return this.pop();\\n\\n let before_position = this.get(index_num-1); // 1. we neet to find item at the position one before!!\\n let removed = before_position.next;\\n before_position.next = removed.next;\\n this.length -=1;\\n console.log(\\\"REMOVE - true\\\");\\n return removed;\\n }\",\n \"remove(val) {\\n\\n }\",\n \"remove(index) {\\n // accept an index.\\n // check if the index is less than zero greate than the length and return undefined. \\n if(index < 0 || index > this.length) { \\n return undefined;\\n }\\n // if this index is the same as the length - -1 pop\\n if(index === this.length - 1 ) { \\n return this.pop();\\n }\\n // if the index is 0 shift. \\n if(index === 0) {\\n return this.shift();\\n }\\n // get the node before the target index. \\n let beforeTargetNode = this.get(index - 1);\\n // set the nedxt prop to the beforeNode to the next of the removednNode. \\n let targetNode = this.get(index);\\n beforeTargetNode.next = targetNode.next;\\n // Decrement the length\\n this.length--;\\n // return the value of the removedNode\\n return targetNode;\\n }\",\n \"remove(key) {\\n let hash = this.hash(key);\\n let slot = this.internalArray[hash];\\n\\n while (slot && slot.key !== key) {\\n slot = this.internalArray[++hash % this.INTERNAL_ARRAY_SIZE];\\n }\\n\\n if (slot) {\\n const temp = slot.value;\\n this.internalArray[hash % this.INTERNAL_ARRAY_SIZE] = null;\\n this.counter--;\\n this.reHash();\\n return temp;\\n } else {\\n return undefined;\\n }\\n }\",\n \"function heapDown(i) {\\n var w = heapWeight(i)\\n while(true) {\\n var tw = w\\n var left = 2*i + 1\\n var right = 2*(i + 1)\\n var next = i\\n if(left < heapCount) {\\n var lw = heapWeight(left)\\n if(lw < tw) {\\n next = left\\n tw = lw\\n }\\n }\\n if(right < heapCount) {\\n var rw = heapWeight(right)\\n if(rw < tw) {\\n next = right\\n }\\n }\\n if(next === i) {\\n return i\\n }\\n heapSwap(i, next)\\n i = next \\n }\\n }\",\n \"extractMax() {\\r\\n\\t\\tconst max = this.heap[0];\\r\\n\\t\\tthis.remove(max);\\r\\n\\t\\treturn max;\\r\\n\\t}\",\n \"pop() {\\n if (!this.first)\\n return null;\\n const nodeToRemove = this.first;\\n this.first = this.first.next;\\n this.size--;\\n return nodeToRemove.value;\\n }\",\n \"function pqdownheap(s, tree, k) // deflate_state *s;\\n// ct_data *tree; /* the tree to restore */\\n// int k; /* node to move down */\\n{\\n var v = s.heap[k];\\n var j = k << 1;\\n /* left son of k */\\n\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n\\n\\n if (smaller(tree, v, s.heap[j], s.depth)) {\\n break;\\n }\\n /* Exchange v with the smallest son */\\n\\n\\n s.heap[k] = s.heap[j];\\n k = j;\\n /* And continue down the tree, setting j to the left son of k */\\n\\n j <<= 1;\\n }\\n\\n s.heap[k] = v;\\n}\",\n \"delete(i) {\\n\\t\\tea && assert(i > 0);\\n\\t\\tif (!this.contains(i)) return;\\n\\t\\tlet j = this.itemAt(this.#m--);\\n\\t\\tif (i != j) {\\n\\t\\t\\tif (this.#key[j] <= this.#key[i])\\n\\t\\t\\t\\tthis.siftup(j, this.#pos[i]);\\n\\t\\t\\telse\\n\\t\\t\\t\\tthis.siftdown(j, this.#pos[i]);\\n\\t\\t}\\n\\t\\tthis.#pos[i] = 0;\\n\\t}\",\n \"remove() {\\n if (!this.value) {\\n this.value = this.min || 0;\\n }\\n const step = this.ctrl_key ? 100 : this.shift_key ? 10 : this.step || 1;\\n this.value -= step;\\n if (this.value < this.min) {\\n this.value = this.min || 0;\\n }\\n this.setValue(this.value);\\n }\",\n \"remove(index) {\\n //if index > length or smaller then zero then return false\\n if (index >= this.length || index < 0) {\\n return undefined;\\n }\\n //if index is equal to 0 then add a new element in front {use unshifting method}\\n if (index === 0) {\\n return this.shifting();\\n\\n } else\\n //if index is equal to length then add a new element in last {use push method }\\n if (this.length === index - 1) {\\n return this.pop();\\n\\n }\\n //store the index-1 node as pervious and index-node[to be removed node] as a deletenode\\n let previousnode = this.get(index - 1);\\n let deletenode = previousnode.next;\\n //point the previous node ------> deletenodes.next \\n /* [ 12 ----> 34 -----> 45] set the pointer of 12 ---> to point the 45 // instead of 34 \\n [ 12 -----> 45] \\n */\\n previousnode.next = deletenode.next;\\n //decreament the list return the value\\n this.length--;\\n return deletenode.val;\\n\\n }\",\n \"remove() {\\n\\t\\tif(!this.head) return null;\\n\\t\\tlet currentNode = this.head;\\n\\t\\tlet data= this.head.value;\\n\\t\\tlet holdingPointer;\\n\\t\\tif (!this.head.next){\\n\\t\\t\\tthis.head = null;\\n\\t\\t\\tthis.length--;\\n\\t\\t\\treturn data;\\n\\t\\t}\\n\\t\\tif (currentNode){\\n\\t\\t\\twhile(currentNode.next){\\n\\t\\t\\t\\tholdingPointer = currentNode;\\n\\t\\t\\t\\tcurrentNode = currentNode.next;\\n\\t\\t\\t}\\n\\t\\t\\tdata = currentNode.value\\n\\t\\t\\tholdingPointer.next = null;\\n\\t\\t}\\n\\t\\tthis.length--;\\n\\t\\treturn data;\\n\\t}\",\n \"heapUp(index) {\\n if (index <= 0) return;\\n \\n const parentIndex = this.parentIndex(index);\\n if (this.store[index].key < this.store[parentIndex].key) {\\n this.swap(index, parentIndex);\\n this.heapUp(parentIndex);\\n }\\n }\",\n \"removeNodesWithValue(value) {\\n if(!this.head || value === undefined) return\\n\\n let curr = this.head, next\\n while(curr) {\\n next = curr.next\\n if(curr.value === value) {\\n this.remove(curr)\\n }\\n curr = next\\n }\\n }\",\n \"dequeue() {\\n if (this.count === 0) {\\n return 0;\\n }\\n var firstIdx = Object.keys(this.storage)[0];\\n var itemToRemove = this.storage[firstIdx];\\n delete this.storage[firstIdx];\\n this.count -= 1;\\n return itemToRemove;\\n }\",\n \"remove(key) {\\n const index = getIndexBelowMax(key.toString(), this.limit);\\n const bucket = this.storage.get(index);\\n if (Array.isArray(bucket)) {\\n for (let i = 0; i < bucket.length; i++) {\\n const objKey = bucket[i][0];\\n if (objKey === key) {\\n bucket.splice(i, 1);\\n }\\n }\\n }\\n }\",\n \"function pqdownheap(s, tree, k)\\n// deflate_state *s;\\n// ct_data *tree; /* the tree to restore */\\n// int k; /* node to move down */\\n {\\n var v = s.heap[k];\\n var j = k << 1; /* left son of k */\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len &&\\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\\n\\n /* Exchange v with the smallest son */\\n s.heap[k] = s.heap[j];\\n k = j;\\n\\n /* And continue down the tree, setting j to the left son of k */\\n j <<= 1;\\n }\\n s.heap[k] = v;\\n }\",\n \"siftUp(currentIdx, heap) {\\n // Get parentNode index of node at currentIdx\\n let parentIdx = Math.floor((currentIdx - 1) / 2);\\n\\n // While not at root index\\n // Compare value at parentIdx and currentIdx\\n // If currentNode < parentNode\\n // Peform swap\\n // re-calculate currentIdx and parentIdx \\n while (currentIdx > 0 && heap[currentIdx] < heap[parentIdx]) {\\n this.swap(currentIdx, parentIdx, heap);\\n currentIdx = parentIdx;\\n parentIdx = Math.floor((currentIdx - 1) / 2);\\n }\\n }\",\n \"function removeAt(arr, value) {\\n return arr[value]\\n}\",\n \"remove (index) {\\n if (index < 0 || index > this.length) {\\n return undefined\\n } \\n if (index === this.length - 1) {\\n return this.pop()\\n }\\n if (index === 0) {\\n return this.shift()\\n }\\n\\n let preceedingNode = this.get(index-1);\\n let nodeToRemove = preceedingNode.next; \\n let suceedingNode = nodeToRemove.next; \\n\\n preceedingNode.next = suceedingNode; \\n\\n this.length --; \\n return nodeToRemove; \\n }\",\n \"remove(index) {\\n if (index < 0 || index >= this.length) {\\n return undefined;\\n }\\n if (index === this.length - 1) {\\n return this.pop();\\n } else if (index === 0) {\\n return this.shift();\\n }\\n\\n let temp = this.get(index - 1);\\n let value = temp.next.val;\\n temp.next = temp.next.next;\\n this.length--;\\n return value;\\n }\",\n \"function pqdownheap(s, tree, k)\\n // deflate_state *s;\\n // ct_data *tree; /* the tree to restore */\\n // int k; /* node to move down */\\n {\\n var v = s.heap[k];\\n var j = k << 1; /* left son of k */\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len &&\\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\\n \\n /* Exchange v with the smallest son */\\n s.heap[k] = s.heap[j];\\n k = j;\\n \\n /* And continue down the tree, setting j to the left son of k */\\n j <<= 1;\\n }\\n s.heap[k] = v;\\n }\",\n \"dequeue() {\\n if (this.tail > this.head) {\\n const value = this.storage[this.head];\\n delete this.storage[this.head];\\n this.head++;\\n return value;\\n } else {\\n return null;\\n }\\n }\",\n \"remove(value) {\\n let currentNode = this.head;\\n if (this.head.value === value) {\\n const temp = this.head.value;\\n this.head = this.head.next;\\n return temp;\\n }\\n\\n while (currentNode.next.value !== value) {\\n currentNode = currentNode.next;\\n }\\n currentNode.next = currentNode.next.next;\\n return this;\\n }\",\n \"function pqdownheap(s, tree, k)\\n// deflate_state *s;\\n// ct_data *tree; /* the tree to restore */\\n// int k; /* node to move down */\\n{\\n var v = s.heap[k];\\n var j = k << 1; /* left son of k */\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n if (smaller(tree, v, s.heap[j], s.depth)) {\\n break;\\n }\\n\\n /* Exchange v with the smallest son */\\n s.heap[k] = s.heap[j];\\n k = j;\\n\\n /* And continue down the tree, setting j to the left son of k */\\n j <<= 1;\\n }\\n s.heap[k] = v;\\n}\",\n \"function pqdownheap(s, tree, k)\\n// deflate_state *s;\\n// ct_data *tree; /* the tree to restore */\\n// int k; /* node to move down */\\n{\\n var v = s.heap[k];\\n var j = k << 1; /* left son of k */\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len &&\\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\\n\\n /* Exchange v with the smallest son */\\n s.heap[k] = s.heap[j];\\n k = j;\\n\\n /* And continue down the tree, setting j to the left son of k */\\n j <<= 1;\\n }\\n s.heap[k] = v;\\n}\",\n \"function pqdownheap(s, tree, k)\\n// deflate_state *s;\\n// ct_data *tree; /* the tree to restore */\\n// int k; /* node to move down */\\n{\\n var v = s.heap[k];\\n var j = k << 1; /* left son of k */\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len &&\\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\\n\\n /* Exchange v with the smallest son */\\n s.heap[k] = s.heap[j];\\n k = j;\\n\\n /* And continue down the tree, setting j to the left son of k */\\n j <<= 1;\\n }\\n s.heap[k] = v;\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.80592644","0.771712","0.75571394","0.75185335","0.748075","0.7324977","0.7206284","0.7075653","0.7057192","0.7057192","0.6849966","0.67913896","0.66329116","0.65866756","0.6565453","0.64938587","0.64443773","0.6443872","0.6382864","0.6373806","0.6357709","0.6350169","0.6332954","0.6317014","0.62710875","0.62187046","0.6216089","0.6203261","0.6201298","0.61842114","0.61689556","0.61539835","0.61407435","0.6133388","0.6132453","0.6129202","0.6108502","0.6099573","0.60843486","0.60737276","0.60718113","0.60718113","0.60718113","0.60718113","0.60718113","0.60666966","0.60665596","0.6058164","0.6049195","0.60429686","0.60404","0.6023055","0.60160947","0.6009156","0.6007376","0.6004896","0.5996282","0.5996102","0.59758496","0.5973461","0.59704137","0.59700686","0.5965413","0.59643286","0.5958306","0.5946714","0.5946714","0.59446526","0.5936152","0.5929253","0.59167844","0.59134245","0.5908944","0.59053135","0.5899812","0.5892232","0.5884444","0.58840156","0.58808446","0.5876673","0.58673143","0.586059","0.586007","0.5859727","0.5854545","0.5854215","0.58511186","0.5847839","0.5843176","0.58408517","0.5836378","0.5836216","0.58347714","0.58316725","0.5830266","0.5823108","0.58197206","0.5816738","0.5810445","0.5810445"],"string":"[\n \"0.80592644\",\n \"0.771712\",\n \"0.75571394\",\n \"0.75185335\",\n \"0.748075\",\n \"0.7324977\",\n \"0.7206284\",\n \"0.7075653\",\n \"0.7057192\",\n \"0.7057192\",\n \"0.6849966\",\n \"0.67913896\",\n \"0.66329116\",\n \"0.65866756\",\n \"0.6565453\",\n \"0.64938587\",\n \"0.64443773\",\n \"0.6443872\",\n \"0.6382864\",\n \"0.6373806\",\n \"0.6357709\",\n \"0.6350169\",\n \"0.6332954\",\n \"0.6317014\",\n \"0.62710875\",\n \"0.62187046\",\n \"0.6216089\",\n \"0.6203261\",\n \"0.6201298\",\n \"0.61842114\",\n \"0.61689556\",\n \"0.61539835\",\n \"0.61407435\",\n \"0.6133388\",\n \"0.6132453\",\n \"0.6129202\",\n \"0.6108502\",\n \"0.6099573\",\n \"0.60843486\",\n \"0.60737276\",\n \"0.60718113\",\n \"0.60718113\",\n \"0.60718113\",\n \"0.60718113\",\n \"0.60718113\",\n \"0.60666966\",\n \"0.60665596\",\n \"0.6058164\",\n \"0.6049195\",\n \"0.60429686\",\n \"0.60404\",\n \"0.6023055\",\n \"0.60160947\",\n \"0.6009156\",\n \"0.6007376\",\n \"0.6004896\",\n \"0.5996282\",\n \"0.5996102\",\n \"0.59758496\",\n \"0.5973461\",\n \"0.59704137\",\n \"0.59700686\",\n \"0.5965413\",\n \"0.59643286\",\n \"0.5958306\",\n \"0.5946714\",\n \"0.5946714\",\n \"0.59446526\",\n \"0.5936152\",\n \"0.5929253\",\n \"0.59167844\",\n \"0.59134245\",\n \"0.5908944\",\n \"0.59053135\",\n \"0.5899812\",\n \"0.5892232\",\n \"0.5884444\",\n \"0.58840156\",\n \"0.58808446\",\n \"0.5876673\",\n \"0.58673143\",\n \"0.586059\",\n \"0.586007\",\n \"0.5859727\",\n \"0.5854545\",\n \"0.5854215\",\n \"0.58511186\",\n \"0.5847839\",\n \"0.5843176\",\n \"0.58408517\",\n \"0.5836378\",\n \"0.5836216\",\n \"0.58347714\",\n \"0.58316725\",\n \"0.5830266\",\n \"0.5823108\",\n \"0.58197206\",\n \"0.5816738\",\n \"0.5810445\",\n \"0.5810445\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.77889985"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":172,"cells":{"query":{"kind":"string","value":"returns the max value from the heap"},"document":{"kind":"string","value":"findMax() {\r\n\t\treturn this.heap[0];\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["extractMax() {\n\t\tconst max = this.heap[0];\n\t\tconst tmp = this.heap.pop();\n\t\tif (!this.empty()) {\n\t\t\tthis.heap[0] = tmp;\n\t\t\tthis.sinkDown(0);\n\t\t}\n\t\treturn max;\n\t}","extractMax() {\r\n\t\tconst max = this.heap[0];\r\n\t\tthis.remove(max);\r\n\t\treturn max;\r\n\t}","function maxHeap(val, parentVal) {\n return val > parentVal;\n}","deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.length === 2) return this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\n\n let max = this.array[1];\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// save reference to root value (max)\n\n this.array[1] = this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t // remove last val in array (farthest right node in tree), and update root value with it\n\n this.siftDown(1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\n\n return max;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// return max value\n }","maxValue() {\n let currNode = this.top;\n let maxValue = this.top.value;\n \n while (currNode.next) {\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\n currNode = currNode.next;\n }\n \n return maxValue;\n }","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","function maxHeapify(arr){\n\n}","extractMax() {\n const max = this.values[0];\n const end = this.values.pop();\n this.values[0] = end;\n this.sinkDown();\n return max;\n }","function max() {\n // set node to the root value\n var node = this.root;\n // loop until there is no more values to the right\n while( node.right != null ) {\n node = node.right; // move to the right value\n } // end while\n return node.data;\n} // end max","extractMax() {\n // swap the first value in the values property with the last value\n // pop from the values property, so you can return the value at the end.\n // 'sink down' to the correct spot\n const max = this.values[0];\n const end = this.values.pop();\n if (this.values.length > 0) {\n this.values[0] = end;\n // move it to the correct position\n this.bubbleDown();\n }\n return max;\n }","extractMax() {\n if (this.values.length===1) {\n return this.values.pop()\n }\n let max = this.values[0]\n let tail = this.values.pop()\n this.values[0] = tail\n let index = 0\n let element = this.values[index]\n // repeat until neither child is greater than the element\n while(true) {\n let swapped = null\n let leftIndex = 2 * index + 1\n let rightIndex = 2 * index + 2\n if (leftIndex < this.values.length) {\n if(this.values[leftIndex] > element) {\n swapped = leftIndex\n }\n }\n if (rightIndex < this.values.length) {\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\n swapped = rightIndex\n }\n }\n if (swapped===null) break\n this.values[index] = this.values[swapped]\n this.values[swapped] = element\n index = swapped\n }\n return max\n }","function MaxHeap(array){\r\n Heap.call(this, array);\r\n \r\n // Build-max-heap method: produces a max-heap from an unordered input array\r\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\r\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\r\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\r\n this.floatDownElementOfIndex(i)\r\n }\r\n}","maxHeap(index) {\n var left = this.left(index);\n var right = this.right(index);\n var largest = index;\n if (left < this.heapSize && this.array[left] > this.array[index]) {\n largest = left;\n }\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\n largest = right;\n }\n if (largest != index) {\n this.swap(this.array, index, largest);\n this.maxHeap(largest);\n }\n }","max() {\n let currentNode = this.root;\n // continue traversing right until no more children\n while(currentNode.right) {\n currentNode = currentNode.right;\n }\n return currentNode.value;\n }","function BSTMax(){\n var walker = this.root;\n while (walker.right != null){\n walker = walker.right;\n }\n return walker.val;\n }","extractMax() {\n let values = this.values;\n if (values.length === 0) return;\n let max = values[0];\n // For time complexity reasons, I swap first then remove the old root node\n values[0] = values[values.length - 1];\n values.pop();\n console.log(values);\n // instatiate child nodes\n let child1, child2, indexToSwap;\n let currentIndex = 0;\n while (true) {\n child1 = currentIndex * 2 + 1;\n child2 = currentIndex * 2 + 2;\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\n break;\n }\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\n if (!values[indexToSwap]) break;\n let oldNode = values[currentIndex];\n values[currentIndex] = values[indexToSwap];\n values[indexToSwap] = oldNode;\n currentIndex = indexToSwap;\n }\n this.values = values;\n return max;\n }","extractMax(){\n const max = this.values.shift();\n let current = this.values.pop();\n if(this.values.length > 0){\n this.values.unshift(current);\n this.sinkDown();\n }\n return max;\n }","findMaxValue() {\n\n let current = this.root;\n\n const findMax = (node) => {\n if (node === null) {\n return;\n }\n\n let actualMax = node.value;\n let leftSideMax = findMax(node.left);\n let rightSideMax = findMax(node.right);\n\n if (leftSideMax > actualMax) {\n actualMax = leftSideMax;\n }\n\n if (rightSideMax > actualMax) {\n actualMax = rightSideMax;\n }\n\n return actualMax;\n };\n\n return findMax(current);\n }","extractMax() {\n const max = this.values[0]\n const end = this.values.pop()\n\n if (this.values.length > 0) {\n this.values[0] = end\n this._sinkDown()\n }\n\n return max\n }","max() {\n let currentNode = this.root;\n // Case for no root\n if(!currentNode) {\n throw new Error('This tree does not yet contain any values');\n return;\n }\n while(currentNode.right) {\n currentNode = currentNode.right;\n }\n return currentNode.value;\n }","max() {\r\n return this.maxHelper(this.root);\r\n }","removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","function findMax(stack) {\n var maxSize = 0;\n var max = null;\n for (var i = 0; i < stack.length; i++) {\n var peasant = stack[i];\n if (peasant.size > maxSize) {\n maxSize = peasant.size;\n max = peasant;\n }\n }\n\n return max;\n}","getMax() {\n let values = [];\n let current = this.head;\n\n // collect all values in the list\n while (current) {\n values.push(current.value);\n\n current = current.next;\n }\n\n return values.length === 0 ? null : Math.max(...values);\n }","maximum() {\n if (this.isEmpty()) {\n return null;\n }\n\n return this.doMaximum(this.root).key;\n }","max(){\r\n if(this.isEmpty()){\r\n console.log(\"Tree is empty!\");\r\n return null;\r\n }\r\n let runner = this.root;\r\n while(runner.right != null){\r\n runner = runner.right;\r\n }\r\n return runner.value;\r\n }","extractMax(){\r\n if(this.values.length === 1) return this.values.pop();\r\n const oldRoot = this.values[0];\r\n this.values[0] = this.values[this.values.length-1];\r\n this.values.pop();\r\n let idx = 0;\r\n let child1 = (2*idx) + 1;\r\n let child2 = (2*idx) + 2;\r\n\r\n while(this.values[idx] < this.values[child1] || \r\n this.values[idx] < this.values[child2]){\r\n child1 = (2*idx) + 1;\r\n child2 = (2*idx) + 2;\r\n if(this.values[child1] >= this.values[child2]){\r\n let temp = this.values[child1];\r\n this.values[child1] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child1;\r\n } else {\r\n let temp = this.values[child2];\r\n this.values[child2] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child2;\r\n }\r\n }\r\n return oldRoot;\r\n }","get maximumValue() {\r\n return this.i.bk;\r\n }","function MaxPriorityQueue(array){\r\n MaxHeap.call(this, array)\r\n}","function max(arr){\n return sortNumbers(arr)[arr.length - 1];\n }","findMaxNode() {\n if (this.head == null && this.tail == null) {\n return undefined;\n }\n\n var runner = this.head\n var temp = runner\n while (runner != null) {\n if ( temp.value < runner.value ){\n temp = runner\n }\n runner = runner.next;\n \n }\n return temp;\n }","maximum() {\n // Write your code here\n\tvar max = this.arr[0];\n\tfor(var i=0;i<this.arr.length;i++){\n\t\tif(max>this.arr[i]){\n\t\t max = max;\n\t\t}else{\n\t\t\tmax = this.arr[i];\n\t\t}\n\t}\n\treturn max;\n }","get maximumValue() {\n return this.i.bk;\n }","function maxValue (arr) {\r\n// liefert die indexnummer des elmentes im array 'arr' mit dem groessten wert\r\n var maxV;\r\n if (arr.length > 0) { // wenn das array ueberhaupt elemente enthaelt\r\n maxV = 0;\r\n for (i = 1; i < arr.length; i++) {\r\n if (arr[i]>arr[maxV]) { maxV = i; }\r\n }\r\n } else {\r\n maxV = null\r\n }\r\n return maxV; \r\n}","function buildMaxHeap() {\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\n maxHeapify(i, array.length);\n }\n}","findMax() {\n let current = this.root;\n // Loop until the rightmost node (no right subtree).\n while (current.right !== null) {\n current = current.right;\n }\n return current.data;\n }","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","function largest(){\r\n // parse arguments into an array\r\n var args = [].slice.call(arguments);\r\n var maxNum = 0;\r\n\r\n // .. do something with each element of args\r\n args.forEach(function(value,idx,list) {\r\n if (value > maxNum) {\r\n maxNum = value;\r\n }\r\n });\r\n\r\n return maxNum;\r\n\r\n}","function findMax(array){\n if(array.length === 1) {\n return array[0];\n }\n var lastValue = array.pop();\n var currentMax = findMax(array);\n if(currentMax < lastValue){\n return lastValue;\n } else {\n return currentMax;\n }\n // if(findMax(array) < lastValue){\n // return lastValue;\n // } else {\n // return findMax(array);\n // }\n}","function largest(array){\r\n\treturn Math.max.apply(Math,array);\r\n}","static maxHeapify(a, i) {\n let left = Heap.left(i);\n let right = Heap.right(i);\n\n // Find largest node between current, left and right\n let largest;\n if (left < a.heap_size && a[left] > a[i])\n largest = left;\n else\n largest = i;\n\n if (right < a.heap_size && a[right] > a[largest])\n largest = right;\n\n // Move current element to 'largest' position, and\n // continue until the element is positioned correctly\n if (largest != i) {\n let temp = a[i];\n a[i] = a[largest];\n a[largest] = temp;\n\n Heap.maxHeapify(a, largest);\n }\n }","findMaximumValue(root = this.root) {\n // what does it mean to find the max?\n // traverse, and check against \"last max\"\n\n // base case: root is null\n if (!root) return;\n\n // base case: root has no children\n let rootMax = root.val;\n let leftMax, rightMax;\n\n if (root.left) leftMax = this.findMaximumValue(root.left);\n\n if (root.right) rightMax = this.findMaximumValue(root.right);\n\n // rootMax, leftMax and rightMax\n // compare them all and just return the\n // \"true max\"\n let max = rootMax;\n\n if (leftMax > max) max = leftMax;\n if (rightMax > max) max = rightMax;\n\n return max;\n }","get max() { return this._max; }","get max() { return this._max; }","get max() { return this._max; }","get max() { return this._max; }","get max() { return this._max; }","get max() { return this._max; }","function secondLargestElement(tree) {\n var current = tree;\n var previous = tree.value;\n\n while (current) {\n if (current.left && !current.right) {\n previous = Math.max(current.value, previous);\n current = current.left;\n } else if (current.right) {\n previous = Math.max(current.value, previous);\n current = current.right;\n } else if (!current.right && !current.left) {\n return Math.min(previous, current.value);\n }\n\n }\n}","function getHighest($array){\n var biggest = Math.max.apply( null, $array );\n return biggest;\n}","get max() {\n\t\treturn this.__max;\n\t}","function max(data) {\n var n = data[0];\n\n for (var i = 1; i < data.length; i++) {\n n = data[i] > n ? data[i] : n;\n }\n\n return n;\n}","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}","function maxHeapify(arr, length, parent) {\n var largest = parent;\n var leftChild = 2 * parent + 1;\n var rightChild = 2 * parent + 2;\n\n if (leftChild < length && arr[leftChild] > arr[largest]) {\n largest = leftChild;\n }\n\n if (rightChild < length && arr[rightChild] > arr[largest]) {\n largest = rightChild;\n }\n\n if (largest != parent) {\n var temp = arr[largest];\n arr[largest] = arr[parent];\n arr[parent] = temp;\n\n maxHeapify(arr, length, largest);\n }\n}","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","function MAX(state) {\n var stack = state.stack;\n var e2 = stack.pop();\n var e1 = stack.pop();\n\n if (exports.DEBUG) {\n console.log(state.step, 'MAX[]', e2, e1);\n }\n\n stack.push(Math.max(e1, e2));\n }","getMax() {\n return this.storage[0];\n }","getMax() {\n return this.storage[0];\n }","function HighestNmb(arr) {\n return Math.max.apply(null, arr);\n}","function max(arr){\n\tvar max = arr[0];\n\tfor (var i =0 ; i < arr.length-1 ; i++){\n\t\tif (maxNum < arr[i]){\n\t\t\treturn arr[i];\n\t\t}\n\t}\n\treturn maxNum;\n}","max() {}","function max(x,y){\nif (x>y){\n\treturn x\n}else{\n\treturn y\n}}","function MAX(state) {\n const stack = state.stack;\n const e2 = stack.pop();\n const e1 = stack.pop();\n\n if (exports.DEBUG) console.log(state.step, 'MAX[]', e2, e1);\n\n stack.push(Math.max(e1, e2));\n}","function max(array) {\n\tvar currentmax = array[0];\n\tarray.forEach(function(element) {\n\t\tif(element > currentmax) {\n\t\t\tcurrentmax = element;\n\t\t}\n\t});\n\treturn currentmax;\n}","function MAX(state) {\n var stack = state.stack;\n var e2 = stack.pop();\n var e1 = stack.pop();\n\n if (DEBUG) console.log(state.step, 'MAX[]', e2, e1);\n\n stack.push(Math.max(e1, e2));\n}","function findMax(node) {\n if (node == null) return 0;\n\n let res = node.value;\n let lres = findMax(node.left);\n let rres = findMax(node.right);\n\n if (lres > res) res = lres;\n if (rres > res) res = rres;\n return res;\n}","static getMax2(array) {\n let max = -Infinity;\n for (let i = 0; i < array.length; i++) {\n if (array[i] > max) {\n max = array[i]\n }\n }\n return max\n }","buildMaxHeap() {}","function max(x) {\n var value = x[0];\n for (var i = 1; i < x.length; i++) {\n if (x[i] > value) {\n value = x[i];\n }\n }\n return value;\n}","get max() {\n return this.args.max || null;\n }","Dequeue() {\r\n if (this.heap.length == 0) return;\r\n const highestPriority = this.heap[0];\r\n const leastPriority = this.heap[this.heap.length - 1];\r\n //swap first and last priority\r\n this.heap[this.heap.length - 1] = highestPriority;\r\n this.heap[0] = leastPriority;\r\n this.heap.pop();\r\n let nodeIndex = 0; //sink down\r\n while (true) {\r\n const left = this.heap[2 * nodeIndex + 1];\r\n const right = this.heap[2 * nodeIndex + 2];\r\n const leastElement = this.heap[nodeIndex];\r\n if (\r\n right &&\r\n right.priority < left.priority &&\r\n right.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 2] = leastElement;\r\n this.heap[nodeIndex] = right;\r\n nodeIndex = 2 * nodeIndex + 2;\r\n } else if (\r\n left &&\r\n left.priority < right.priority &&\r\n left.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 1] = leastElement;\r\n this.heap[nodeIndex] = left;\r\n nodeIndex = 2 * nodeIndex + 1;\r\n } else {\r\n break;\r\n }\r\n }\r\n\r\n return highestPriority;\r\n }","extractMax() {\n let extracted = this.values[0]\n let end = this.values.pop()\n if (this.values.length > 0) {\n this.values[0] = end\n this.sinkDown()\n }\n return extracted\n }","findMax() {\n\n // It will keep the last data until current right is null\n let current = this.root;\n while (current.right !== null) {\n current = current.right;\n }\n\n return current.data;\n }","function max(arr) {\n var m = -Infinity;\n\n for(var i=0; i< arr.length; i++)\n if(arr[i] > m) m = arr[i];\n return m;\n}","function maxHeapBuild(arr) {\n if (arr.length <= 1) return;\n createHeap(arr, arr.length);\n return arr;\n}","function maxHeapify(arr , n , i)\n\t{\n\t\n\t\t// Find largest of node and its children\n\t\tif (i >= n) {\n\t\t\treturn;\n\t\t}\n\t\tvar l = i * 2 + 1;\n\t\tvar r = i * 2 + 2;\n\t\tvar max;\n\t\tif (l < n && arr[l] > arr[i]) {\n\t\t\tmax = l;\n\t\t} else\n\t\t\tmax = i;\n\t\tif (r < n && arr[r] > arr[max]) {\n\t\t\tmax = r;\n\t\t}\n\n\t\t// Put maximum value at root and\n\t\t// recur for the child with the\n\t\t// maximum value\n\t\tif (max != i) {\n\t\t\tvar temp = arr[max];\n\t\t\tarr[max] = arr[i];\n\t\t\tarr[i] = temp;\n\t\t\tmaxHeapify(arr, n, max);\n\t\t}\n\t}","function getMaxVal(valArr) {\n if(!valArr){\n\treturn null;\n }\n\n var max = valArr[0];\n for(var i = 1; i < valArr.length; i++){\n\tif(valArr[i] > max){\n\t max = valArr[i];\n\t}\n }\n\n return max;\n}","function nMax(){\n var arr=[-3,3,5,7];\n var max= arr[0];\n for(var i = 0; i< arr.length; i++){\n if(arr[i]>max){\n max=arr[i];\n arr.splice(max);\n }\n }\n for(var i=0; i<arr.length;i++){\n if(arr[i]>max){\n max=arr[i];\n \n }\n }\n console.log(max);\n return max;\n }","function max_element(n, metric){\n var m = metric(n[0]), b = n[0];\n for(var i = 1; i < n.length; i++){\n var v = metric(n[i]);\n if(v > m){\n m = v;\n b = n[i];\n }\n }\n return b;\n}","getHead() {\n return this.maxheap[1]\n }","function maxtable(){\n var maximum = Math.max.apply(null, tabValue);\n console.log(tabValue);\n tabValue = [];\n console.log(\"sending value to node.js : \" + maximum);\n return maximum;\n}","function max() {\n var maxValue = arguments[0];\n for (var i = 0; i < arguments.length; i++) {\n if (arguments[i] > maxValue) {\n maxValue = arguments[i];\n }\n }\n return maxValue;\n}","maxToBack(){\n var runner = this.head;\n var max = this.head\n var prevnode = this.head\n var maxprev = null\n while (runner != null) {\n if (runner.val > max.val) {\n max = runner;\n maxprev = prevnode\n }\n prevnode = runner\n runner = runner.next\n }\n prevnode.next = max\n maxprev.next = max.next\n max.next = null;\n }","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","function maxHeap(array, n, i) {\n let largest = i;\n let left = 2 * i + 1;\n let right = 2 * i + 2;\n if (left < n && array[left] > array[largest]) {\n largest = left;\n }\n\n // If right child is larger than largest so far\n if (right < n && array[right] > array[largest]) {\n largest = right;\n }\n\n // If largest is not root\n if (largest != i) {\n let swap = array[i];\n array[i] = array[largest];\n array[largest] = swap;\n\n // Recursively heapify the affected sub-tree\n maxHeap(array, n, largest);\n }\n}","function getMax() {\n var max = Math.max.apply(null, config.values);\n max += 10 - max % 10;\n return max;\n console.log(max);\n }","function maxOf(array){\n if(array.length === 1){\n return array[0]\n } else{\n return Math.max(array.pop(), maxOf(array))\n }\n}","function max(x) { \n // assert x != null;\n if (x.right == null || x.right == undefined) \n \treturn x; \n else\n \treturn max(x.right); \n }","function maximum(array, max = Number.MIN_SAFE_INTEGER){\n if(array.length === 0)\n return max;\n else{\n let x = array.pop();\n if(x > max) max = x;\n return maximum(array, max);\n }\n}","get max() {\r\n return this._max\r\n }","function heap_root(input, i) { \n var left = 2 * i + 1; \n var right = 2 * i + 2; \n var max = i; \n \n if (left < array_length && input[left] > input[max]) { \n max = left; \n } \n \n if (right < array_length && input[right] > input[max]) { \n max = right; \n } \n \n if (max != i) { \n swap(input, i, max); \n heap_root(input, max); \n } \n}","function YLightSensor_get_highestValue()\n { var json_val = this._getAttr('highestValue');\n return (json_val == null ? Y_HIGHESTVALUE_INVALID : Math.round(json_val/6553.6) / 10);\n }","function max(x, y) {\n return lte(x, y) ? y : x;\n }","function max(x,y){\n if(x>y){\n return x\n } else {\n return y\n }\n}","max() {\n let current = this.root\n if (current == null)\n return null\n while (current.right != null)\n current = current.right\n return current.content\n }","function maxHeapify(idx, hSize) {\n let largest;\n const left = (2 * idx) + 1;\n const right = (2 * idx) + 2;\n if (left < hSize && array[left] > array[idx]) {\n largest = left;\n } else {\n largest = idx;\n }\n if (right < hSize && array[right] > array[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n const temp = array[idx];\n array[idx] = array[largest];\n array[largest] = temp;\n maxHeapify(largest, hSize);\n }\n}","function max(){\n return Math.max.apply(null, arguments)\n }","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","function findNextHighest() {\n var temp = highest;\n while (numStore[highest] === undefined) {\n highest = highest - 1;\n }\n return highest;\n }"],"string":"[\n \"extractMax() {\\n\\t\\tconst max = this.heap[0];\\n\\t\\tconst tmp = this.heap.pop();\\n\\t\\tif (!this.empty()) {\\n\\t\\t\\tthis.heap[0] = tmp;\\n\\t\\t\\tthis.sinkDown(0);\\n\\t\\t}\\n\\t\\treturn max;\\n\\t}\",\n \"extractMax() {\\r\\n\\t\\tconst max = this.heap[0];\\r\\n\\t\\tthis.remove(max);\\r\\n\\t\\treturn max;\\r\\n\\t}\",\n \"function maxHeap(val, parentVal) {\\n return val > parentVal;\\n}\",\n \"deleteMax() {\\n // recall that we have an empty position at the very front of the array, \\n // so an array length of 2 means there is only 1 item in the heap\\n\\n if (this.array.length === 1) return null;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if no nodes in tree, exit\\n\\n if (this.array.length === 2) return this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\\n\\n let max = this.array[1];\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// save reference to root value (max)\\n\\n this.array[1] = this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // remove last val in array (farthest right node in tree), and update root value with it\\n\\n this.siftDown(1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\\n\\n return max;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// return max value\\n }\",\n \"maxValue() {\\n let currNode = this.top;\\n let maxValue = this.top.value;\\n \\n while (currNode.next) {\\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\\n currNode = currNode.next;\\n }\\n \\n return maxValue;\\n }\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"extractMax() {\\n const max = this.values[0];\\n const end = this.values.pop();\\n this.values[0] = end;\\n this.sinkDown();\\n return max;\\n }\",\n \"function max() {\\n // set node to the root value\\n var node = this.root;\\n // loop until there is no more values to the right\\n while( node.right != null ) {\\n node = node.right; // move to the right value\\n } // end while\\n return node.data;\\n} // end max\",\n \"extractMax() {\\n // swap the first value in the values property with the last value\\n // pop from the values property, so you can return the value at the end.\\n // 'sink down' to the correct spot\\n const max = this.values[0];\\n const end = this.values.pop();\\n if (this.values.length > 0) {\\n this.values[0] = end;\\n // move it to the correct position\\n this.bubbleDown();\\n }\\n return max;\\n }\",\n \"extractMax() {\\n if (this.values.length===1) {\\n return this.values.pop()\\n }\\n let max = this.values[0]\\n let tail = this.values.pop()\\n this.values[0] = tail\\n let index = 0\\n let element = this.values[index]\\n // repeat until neither child is greater than the element\\n while(true) {\\n let swapped = null\\n let leftIndex = 2 * index + 1\\n let rightIndex = 2 * index + 2\\n if (leftIndex < this.values.length) {\\n if(this.values[leftIndex] > element) {\\n swapped = leftIndex\\n }\\n }\\n if (rightIndex < this.values.length) {\\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\\n swapped = rightIndex\\n }\\n }\\n if (swapped===null) break\\n this.values[index] = this.values[swapped]\\n this.values[swapped] = element\\n index = swapped\\n }\\n return max\\n }\",\n \"function MaxHeap(array){\\r\\n Heap.call(this, array);\\r\\n \\r\\n // Build-max-heap method: produces a max-heap from an unordered input array\\r\\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\\r\\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\\r\\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\\r\\n this.floatDownElementOfIndex(i)\\r\\n }\\r\\n}\",\n \"maxHeap(index) {\\n var left = this.left(index);\\n var right = this.right(index);\\n var largest = index;\\n if (left < this.heapSize && this.array[left] > this.array[index]) {\\n largest = left;\\n }\\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\\n largest = right;\\n }\\n if (largest != index) {\\n this.swap(this.array, index, largest);\\n this.maxHeap(largest);\\n }\\n }\",\n \"max() {\\n let currentNode = this.root;\\n // continue traversing right until no more children\\n while(currentNode.right) {\\n currentNode = currentNode.right;\\n }\\n return currentNode.value;\\n }\",\n \"function BSTMax(){\\n var walker = this.root;\\n while (walker.right != null){\\n walker = walker.right;\\n }\\n return walker.val;\\n }\",\n \"extractMax() {\\n let values = this.values;\\n if (values.length === 0) return;\\n let max = values[0];\\n // For time complexity reasons, I swap first then remove the old root node\\n values[0] = values[values.length - 1];\\n values.pop();\\n console.log(values);\\n // instatiate child nodes\\n let child1, child2, indexToSwap;\\n let currentIndex = 0;\\n while (true) {\\n child1 = currentIndex * 2 + 1;\\n child2 = currentIndex * 2 + 2;\\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\\n break;\\n }\\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\\n if (!values[indexToSwap]) break;\\n let oldNode = values[currentIndex];\\n values[currentIndex] = values[indexToSwap];\\n values[indexToSwap] = oldNode;\\n currentIndex = indexToSwap;\\n }\\n this.values = values;\\n return max;\\n }\",\n \"extractMax(){\\n const max = this.values.shift();\\n let current = this.values.pop();\\n if(this.values.length > 0){\\n this.values.unshift(current);\\n this.sinkDown();\\n }\\n return max;\\n }\",\n \"findMaxValue() {\\n\\n let current = this.root;\\n\\n const findMax = (node) => {\\n if (node === null) {\\n return;\\n }\\n\\n let actualMax = node.value;\\n let leftSideMax = findMax(node.left);\\n let rightSideMax = findMax(node.right);\\n\\n if (leftSideMax > actualMax) {\\n actualMax = leftSideMax;\\n }\\n\\n if (rightSideMax > actualMax) {\\n actualMax = rightSideMax;\\n }\\n\\n return actualMax;\\n };\\n\\n return findMax(current);\\n }\",\n \"extractMax() {\\n const max = this.values[0]\\n const end = this.values.pop()\\n\\n if (this.values.length > 0) {\\n this.values[0] = end\\n this._sinkDown()\\n }\\n\\n return max\\n }\",\n \"max() {\\n let currentNode = this.root;\\n // Case for no root\\n if(!currentNode) {\\n throw new Error('This tree does not yet contain any values');\\n return;\\n }\\n while(currentNode.right) {\\n currentNode = currentNode.right;\\n }\\n return currentNode.value;\\n }\",\n \"max() {\\r\\n return this.maxHelper(this.root);\\r\\n }\",\n \"removeMax() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"function findMax(stack) {\\n var maxSize = 0;\\n var max = null;\\n for (var i = 0; i < stack.length; i++) {\\n var peasant = stack[i];\\n if (peasant.size > maxSize) {\\n maxSize = peasant.size;\\n max = peasant;\\n }\\n }\\n\\n return max;\\n}\",\n \"getMax() {\\n let values = [];\\n let current = this.head;\\n\\n // collect all values in the list\\n while (current) {\\n values.push(current.value);\\n\\n current = current.next;\\n }\\n\\n return values.length === 0 ? null : Math.max(...values);\\n }\",\n \"maximum() {\\n if (this.isEmpty()) {\\n return null;\\n }\\n\\n return this.doMaximum(this.root).key;\\n }\",\n \"max(){\\r\\n if(this.isEmpty()){\\r\\n console.log(\\\"Tree is empty!\\\");\\r\\n return null;\\r\\n }\\r\\n let runner = this.root;\\r\\n while(runner.right != null){\\r\\n runner = runner.right;\\r\\n }\\r\\n return runner.value;\\r\\n }\",\n \"extractMax(){\\r\\n if(this.values.length === 1) return this.values.pop();\\r\\n const oldRoot = this.values[0];\\r\\n this.values[0] = this.values[this.values.length-1];\\r\\n this.values.pop();\\r\\n let idx = 0;\\r\\n let child1 = (2*idx) + 1;\\r\\n let child2 = (2*idx) + 2;\\r\\n\\r\\n while(this.values[idx] < this.values[child1] || \\r\\n this.values[idx] < this.values[child2]){\\r\\n child1 = (2*idx) + 1;\\r\\n child2 = (2*idx) + 2;\\r\\n if(this.values[child1] >= this.values[child2]){\\r\\n let temp = this.values[child1];\\r\\n this.values[child1] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child1;\\r\\n } else {\\r\\n let temp = this.values[child2];\\r\\n this.values[child2] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child2;\\r\\n }\\r\\n }\\r\\n return oldRoot;\\r\\n }\",\n \"get maximumValue() {\\r\\n return this.i.bk;\\r\\n }\",\n \"function MaxPriorityQueue(array){\\r\\n MaxHeap.call(this, array)\\r\\n}\",\n \"function max(arr){\\n return sortNumbers(arr)[arr.length - 1];\\n }\",\n \"findMaxNode() {\\n if (this.head == null && this.tail == null) {\\n return undefined;\\n }\\n\\n var runner = this.head\\n var temp = runner\\n while (runner != null) {\\n if ( temp.value < runner.value ){\\n temp = runner\\n }\\n runner = runner.next;\\n \\n }\\n return temp;\\n }\",\n \"maximum() {\\n // Write your code here\\n\\tvar max = this.arr[0];\\n\\tfor(var i=0;i<this.arr.length;i++){\\n\\t\\tif(max>this.arr[i]){\\n\\t\\t max = max;\\n\\t\\t}else{\\n\\t\\t\\tmax = this.arr[i];\\n\\t\\t}\\n\\t}\\n\\treturn max;\\n }\",\n \"get maximumValue() {\\n return this.i.bk;\\n }\",\n \"function maxValue (arr) {\\r\\n// liefert die indexnummer des elmentes im array 'arr' mit dem groessten wert\\r\\n var maxV;\\r\\n if (arr.length > 0) { // wenn das array ueberhaupt elemente enthaelt\\r\\n maxV = 0;\\r\\n for (i = 1; i < arr.length; i++) {\\r\\n if (arr[i]>arr[maxV]) { maxV = i; }\\r\\n }\\r\\n } else {\\r\\n maxV = null\\r\\n }\\r\\n return maxV; \\r\\n}\",\n \"function buildMaxHeap() {\\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\\n maxHeapify(i, array.length);\\n }\\n}\",\n \"findMax() {\\n let current = this.root;\\n // Loop until the rightmost node (no right subtree).\\n while (current.right !== null) {\\n current = current.right;\\n }\\n return current.data;\\n }\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"function largest(){\\r\\n // parse arguments into an array\\r\\n var args = [].slice.call(arguments);\\r\\n var maxNum = 0;\\r\\n\\r\\n // .. do something with each element of args\\r\\n args.forEach(function(value,idx,list) {\\r\\n if (value > maxNum) {\\r\\n maxNum = value;\\r\\n }\\r\\n });\\r\\n\\r\\n return maxNum;\\r\\n\\r\\n}\",\n \"function findMax(array){\\n if(array.length === 1) {\\n return array[0];\\n }\\n var lastValue = array.pop();\\n var currentMax = findMax(array);\\n if(currentMax < lastValue){\\n return lastValue;\\n } else {\\n return currentMax;\\n }\\n // if(findMax(array) < lastValue){\\n // return lastValue;\\n // } else {\\n // return findMax(array);\\n // }\\n}\",\n \"function largest(array){\\r\\n\\treturn Math.max.apply(Math,array);\\r\\n}\",\n \"static maxHeapify(a, i) {\\n let left = Heap.left(i);\\n let right = Heap.right(i);\\n\\n // Find largest node between current, left and right\\n let largest;\\n if (left < a.heap_size && a[left] > a[i])\\n largest = left;\\n else\\n largest = i;\\n\\n if (right < a.heap_size && a[right] > a[largest])\\n largest = right;\\n\\n // Move current element to 'largest' position, and\\n // continue until the element is positioned correctly\\n if (largest != i) {\\n let temp = a[i];\\n a[i] = a[largest];\\n a[largest] = temp;\\n\\n Heap.maxHeapify(a, largest);\\n }\\n }\",\n \"findMaximumValue(root = this.root) {\\n // what does it mean to find the max?\\n // traverse, and check against \\\"last max\\\"\\n\\n // base case: root is null\\n if (!root) return;\\n\\n // base case: root has no children\\n let rootMax = root.val;\\n let leftMax, rightMax;\\n\\n if (root.left) leftMax = this.findMaximumValue(root.left);\\n\\n if (root.right) rightMax = this.findMaximumValue(root.right);\\n\\n // rootMax, leftMax and rightMax\\n // compare them all and just return the\\n // \\\"true max\\\"\\n let max = rootMax;\\n\\n if (leftMax > max) max = leftMax;\\n if (rightMax > max) max = rightMax;\\n\\n return max;\\n }\",\n \"get max() { return this._max; }\",\n \"get max() { return this._max; }\",\n \"get max() { return this._max; }\",\n \"get max() { return this._max; }\",\n \"get max() { return this._max; }\",\n \"get max() { return this._max; }\",\n \"function secondLargestElement(tree) {\\n var current = tree;\\n var previous = tree.value;\\n\\n while (current) {\\n if (current.left && !current.right) {\\n previous = Math.max(current.value, previous);\\n current = current.left;\\n } else if (current.right) {\\n previous = Math.max(current.value, previous);\\n current = current.right;\\n } else if (!current.right && !current.left) {\\n return Math.min(previous, current.value);\\n }\\n\\n }\\n}\",\n \"function getHighest($array){\\n var biggest = Math.max.apply( null, $array );\\n return biggest;\\n}\",\n \"get max() {\\n\\t\\treturn this.__max;\\n\\t}\",\n \"function max(data) {\\n var n = data[0];\\n\\n for (var i = 1; i < data.length; i++) {\\n n = data[i] > n ? data[i] : n;\\n }\\n\\n return n;\\n}\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\",\n \"function maxHeapify(arr, length, parent) {\\n var largest = parent;\\n var leftChild = 2 * parent + 1;\\n var rightChild = 2 * parent + 2;\\n\\n if (leftChild < length && arr[leftChild] > arr[largest]) {\\n largest = leftChild;\\n }\\n\\n if (rightChild < length && arr[rightChild] > arr[largest]) {\\n largest = rightChild;\\n }\\n\\n if (largest != parent) {\\n var temp = arr[largest];\\n arr[largest] = arr[parent];\\n arr[parent] = temp;\\n\\n maxHeapify(arr, length, largest);\\n }\\n}\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"function MAX(state) {\\n var stack = state.stack;\\n var e2 = stack.pop();\\n var e1 = stack.pop();\\n\\n if (exports.DEBUG) {\\n console.log(state.step, 'MAX[]', e2, e1);\\n }\\n\\n stack.push(Math.max(e1, e2));\\n }\",\n \"getMax() {\\n return this.storage[0];\\n }\",\n \"getMax() {\\n return this.storage[0];\\n }\",\n \"function HighestNmb(arr) {\\n return Math.max.apply(null, arr);\\n}\",\n \"function max(arr){\\n\\tvar max = arr[0];\\n\\tfor (var i =0 ; i < arr.length-1 ; i++){\\n\\t\\tif (maxNum < arr[i]){\\n\\t\\t\\treturn arr[i];\\n\\t\\t}\\n\\t}\\n\\treturn maxNum;\\n}\",\n \"max() {}\",\n \"function max(x,y){\\nif (x>y){\\n\\treturn x\\n}else{\\n\\treturn y\\n}}\",\n \"function MAX(state) {\\n const stack = state.stack;\\n const e2 = stack.pop();\\n const e1 = stack.pop();\\n\\n if (exports.DEBUG) console.log(state.step, 'MAX[]', e2, e1);\\n\\n stack.push(Math.max(e1, e2));\\n}\",\n \"function max(array) {\\n\\tvar currentmax = array[0];\\n\\tarray.forEach(function(element) {\\n\\t\\tif(element > currentmax) {\\n\\t\\t\\tcurrentmax = element;\\n\\t\\t}\\n\\t});\\n\\treturn currentmax;\\n}\",\n \"function MAX(state) {\\n var stack = state.stack;\\n var e2 = stack.pop();\\n var e1 = stack.pop();\\n\\n if (DEBUG) console.log(state.step, 'MAX[]', e2, e1);\\n\\n stack.push(Math.max(e1, e2));\\n}\",\n \"function findMax(node) {\\n if (node == null) return 0;\\n\\n let res = node.value;\\n let lres = findMax(node.left);\\n let rres = findMax(node.right);\\n\\n if (lres > res) res = lres;\\n if (rres > res) res = rres;\\n return res;\\n}\",\n \"static getMax2(array) {\\n let max = -Infinity;\\n for (let i = 0; i < array.length; i++) {\\n if (array[i] > max) {\\n max = array[i]\\n }\\n }\\n return max\\n }\",\n \"buildMaxHeap() {}\",\n \"function max(x) {\\n var value = x[0];\\n for (var i = 1; i < x.length; i++) {\\n if (x[i] > value) {\\n value = x[i];\\n }\\n }\\n return value;\\n}\",\n \"get max() {\\n return this.args.max || null;\\n }\",\n \"Dequeue() {\\r\\n if (this.heap.length == 0) return;\\r\\n const highestPriority = this.heap[0];\\r\\n const leastPriority = this.heap[this.heap.length - 1];\\r\\n //swap first and last priority\\r\\n this.heap[this.heap.length - 1] = highestPriority;\\r\\n this.heap[0] = leastPriority;\\r\\n this.heap.pop();\\r\\n let nodeIndex = 0; //sink down\\r\\n while (true) {\\r\\n const left = this.heap[2 * nodeIndex + 1];\\r\\n const right = this.heap[2 * nodeIndex + 2];\\r\\n const leastElement = this.heap[nodeIndex];\\r\\n if (\\r\\n right &&\\r\\n right.priority < left.priority &&\\r\\n right.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 2] = leastElement;\\r\\n this.heap[nodeIndex] = right;\\r\\n nodeIndex = 2 * nodeIndex + 2;\\r\\n } else if (\\r\\n left &&\\r\\n left.priority < right.priority &&\\r\\n left.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 1] = leastElement;\\r\\n this.heap[nodeIndex] = left;\\r\\n nodeIndex = 2 * nodeIndex + 1;\\r\\n } else {\\r\\n break;\\r\\n }\\r\\n }\\r\\n\\r\\n return highestPriority;\\r\\n }\",\n \"extractMax() {\\n let extracted = this.values[0]\\n let end = this.values.pop()\\n if (this.values.length > 0) {\\n this.values[0] = end\\n this.sinkDown()\\n }\\n return extracted\\n }\",\n \"findMax() {\\n\\n // It will keep the last data until current right is null\\n let current = this.root;\\n while (current.right !== null) {\\n current = current.right;\\n }\\n\\n return current.data;\\n }\",\n \"function max(arr) {\\n var m = -Infinity;\\n\\n for(var i=0; i< arr.length; i++)\\n if(arr[i] > m) m = arr[i];\\n return m;\\n}\",\n \"function maxHeapBuild(arr) {\\n if (arr.length <= 1) return;\\n createHeap(arr, arr.length);\\n return arr;\\n}\",\n \"function maxHeapify(arr , n , i)\\n\\t{\\n\\t\\n\\t\\t// Find largest of node and its children\\n\\t\\tif (i >= n) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tvar l = i * 2 + 1;\\n\\t\\tvar r = i * 2 + 2;\\n\\t\\tvar max;\\n\\t\\tif (l < n && arr[l] > arr[i]) {\\n\\t\\t\\tmax = l;\\n\\t\\t} else\\n\\t\\t\\tmax = i;\\n\\t\\tif (r < n && arr[r] > arr[max]) {\\n\\t\\t\\tmax = r;\\n\\t\\t}\\n\\n\\t\\t// Put maximum value at root and\\n\\t\\t// recur for the child with the\\n\\t\\t// maximum value\\n\\t\\tif (max != i) {\\n\\t\\t\\tvar temp = arr[max];\\n\\t\\t\\tarr[max] = arr[i];\\n\\t\\t\\tarr[i] = temp;\\n\\t\\t\\tmaxHeapify(arr, n, max);\\n\\t\\t}\\n\\t}\",\n \"function getMaxVal(valArr) {\\n if(!valArr){\\n\\treturn null;\\n }\\n\\n var max = valArr[0];\\n for(var i = 1; i < valArr.length; i++){\\n\\tif(valArr[i] > max){\\n\\t max = valArr[i];\\n\\t}\\n }\\n\\n return max;\\n}\",\n \"function nMax(){\\n var arr=[-3,3,5,7];\\n var max= arr[0];\\n for(var i = 0; i< arr.length; i++){\\n if(arr[i]>max){\\n max=arr[i];\\n arr.splice(max);\\n }\\n }\\n for(var i=0; i<arr.length;i++){\\n if(arr[i]>max){\\n max=arr[i];\\n \\n }\\n }\\n console.log(max);\\n return max;\\n }\",\n \"function max_element(n, metric){\\n var m = metric(n[0]), b = n[0];\\n for(var i = 1; i < n.length; i++){\\n var v = metric(n[i]);\\n if(v > m){\\n m = v;\\n b = n[i];\\n }\\n }\\n return b;\\n}\",\n \"getHead() {\\n return this.maxheap[1]\\n }\",\n \"function maxtable(){\\n var maximum = Math.max.apply(null, tabValue);\\n console.log(tabValue);\\n tabValue = [];\\n console.log(\\\"sending value to node.js : \\\" + maximum);\\n return maximum;\\n}\",\n \"function max() {\\n var maxValue = arguments[0];\\n for (var i = 0; i < arguments.length; i++) {\\n if (arguments[i] > maxValue) {\\n maxValue = arguments[i];\\n }\\n }\\n return maxValue;\\n}\",\n \"maxToBack(){\\n var runner = this.head;\\n var max = this.head\\n var prevnode = this.head\\n var maxprev = null\\n while (runner != null) {\\n if (runner.val > max.val) {\\n max = runner;\\n maxprev = prevnode\\n }\\n prevnode = runner\\n runner = runner.next\\n }\\n prevnode.next = max\\n maxprev.next = max.next\\n max.next = null;\\n }\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"function maxHeap(array, n, i) {\\n let largest = i;\\n let left = 2 * i + 1;\\n let right = 2 * i + 2;\\n if (left < n && array[left] > array[largest]) {\\n largest = left;\\n }\\n\\n // If right child is larger than largest so far\\n if (right < n && array[right] > array[largest]) {\\n largest = right;\\n }\\n\\n // If largest is not root\\n if (largest != i) {\\n let swap = array[i];\\n array[i] = array[largest];\\n array[largest] = swap;\\n\\n // Recursively heapify the affected sub-tree\\n maxHeap(array, n, largest);\\n }\\n}\",\n \"function getMax() {\\n var max = Math.max.apply(null, config.values);\\n max += 10 - max % 10;\\n return max;\\n console.log(max);\\n }\",\n \"function maxOf(array){\\n if(array.length === 1){\\n return array[0]\\n } else{\\n return Math.max(array.pop(), maxOf(array))\\n }\\n}\",\n \"function max(x) { \\n // assert x != null;\\n if (x.right == null || x.right == undefined) \\n \\treturn x; \\n else\\n \\treturn max(x.right); \\n }\",\n \"function maximum(array, max = Number.MIN_SAFE_INTEGER){\\n if(array.length === 0)\\n return max;\\n else{\\n let x = array.pop();\\n if(x > max) max = x;\\n return maximum(array, max);\\n }\\n}\",\n \"get max() {\\r\\n return this._max\\r\\n }\",\n \"function heap_root(input, i) { \\n var left = 2 * i + 1; \\n var right = 2 * i + 2; \\n var max = i; \\n \\n if (left < array_length && input[left] > input[max]) { \\n max = left; \\n } \\n \\n if (right < array_length && input[right] > input[max]) { \\n max = right; \\n } \\n \\n if (max != i) { \\n swap(input, i, max); \\n heap_root(input, max); \\n } \\n}\",\n \"function YLightSensor_get_highestValue()\\n { var json_val = this._getAttr('highestValue');\\n return (json_val == null ? Y_HIGHESTVALUE_INVALID : Math.round(json_val/6553.6) / 10);\\n }\",\n \"function max(x, y) {\\n return lte(x, y) ? y : x;\\n }\",\n \"function max(x,y){\\n if(x>y){\\n return x\\n } else {\\n return y\\n }\\n}\",\n \"max() {\\n let current = this.root\\n if (current == null)\\n return null\\n while (current.right != null)\\n current = current.right\\n return current.content\\n }\",\n \"function maxHeapify(idx, hSize) {\\n let largest;\\n const left = (2 * idx) + 1;\\n const right = (2 * idx) + 2;\\n if (left < hSize && array[left] > array[idx]) {\\n largest = left;\\n } else {\\n largest = idx;\\n }\\n if (right < hSize && array[right] > array[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n const temp = array[idx];\\n array[idx] = array[largest];\\n array[largest] = temp;\\n maxHeapify(largest, hSize);\\n }\\n}\",\n \"function max(){\\n return Math.max.apply(null, arguments)\\n }\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"function findNextHighest() {\\n var temp = highest;\\n while (numStore[highest] === undefined) {\\n highest = highest - 1;\\n }\\n return highest;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.82991564","0.7957347","0.78086686","0.7646159","0.7423833","0.73725516","0.7348753","0.72745484","0.72237366","0.72114444","0.7197894","0.7177174","0.7163383","0.7146565","0.70919085","0.70852536","0.70802695","0.7070464","0.7062798","0.7037336","0.7013775","0.6969921","0.6968393","0.6965604","0.69146156","0.6899203","0.686","0.6844688","0.6844106","0.6824768","0.6817568","0.6816355","0.68104315","0.67739224","0.67003083","0.6676564","0.66745853","0.6662407","0.6651277","0.6637021","0.66293","0.66171575","0.6610276","0.6610276","0.6610276","0.6610276","0.6610276","0.6610276","0.6599275","0.65978974","0.6584784","0.6583263","0.6577867","0.65719116","0.6570493","0.65587115","0.65565866","0.65565866","0.65549755","0.652271","0.6509924","0.6507809","0.6497283","0.6490893","0.64908534","0.6488649","0.6472934","0.6471766","0.6469162","0.6465769","0.64610565","0.6457766","0.64513665","0.6445873","0.6439046","0.64361554","0.64356595","0.6434895","0.6434795","0.6427546","0.6426731","0.64243734","0.6418554","0.64181","0.64164275","0.6413261","0.6412956","0.64123935","0.6404784","0.6402987","0.640093","0.63978416","0.6397023","0.63945687","0.6381715","0.63789654","0.63782084","0.63776886","0.63776886","0.63760304"],"string":"[\n \"0.82991564\",\n \"0.7957347\",\n \"0.78086686\",\n \"0.7646159\",\n \"0.7423833\",\n \"0.73725516\",\n \"0.7348753\",\n \"0.72745484\",\n \"0.72237366\",\n \"0.72114444\",\n \"0.7197894\",\n \"0.7177174\",\n \"0.7163383\",\n \"0.7146565\",\n \"0.70919085\",\n \"0.70852536\",\n \"0.70802695\",\n \"0.7070464\",\n \"0.7062798\",\n \"0.7037336\",\n \"0.7013775\",\n \"0.6969921\",\n \"0.6968393\",\n \"0.6965604\",\n \"0.69146156\",\n \"0.6899203\",\n \"0.686\",\n \"0.6844688\",\n \"0.6844106\",\n \"0.6824768\",\n \"0.6817568\",\n \"0.6816355\",\n \"0.68104315\",\n \"0.67739224\",\n \"0.67003083\",\n \"0.6676564\",\n \"0.66745853\",\n \"0.6662407\",\n \"0.6651277\",\n \"0.6637021\",\n \"0.66293\",\n \"0.66171575\",\n \"0.6610276\",\n \"0.6610276\",\n \"0.6610276\",\n \"0.6610276\",\n \"0.6610276\",\n \"0.6610276\",\n \"0.6599275\",\n \"0.65978974\",\n \"0.6584784\",\n \"0.6583263\",\n \"0.6577867\",\n \"0.65719116\",\n \"0.6570493\",\n \"0.65587115\",\n \"0.65565866\",\n \"0.65565866\",\n \"0.65549755\",\n \"0.652271\",\n \"0.6509924\",\n \"0.6507809\",\n \"0.6497283\",\n \"0.6490893\",\n \"0.64908534\",\n \"0.6488649\",\n \"0.6472934\",\n \"0.6471766\",\n \"0.6469162\",\n \"0.6465769\",\n \"0.64610565\",\n \"0.6457766\",\n \"0.64513665\",\n \"0.6445873\",\n \"0.6439046\",\n \"0.64361554\",\n \"0.64356595\",\n \"0.6434895\",\n \"0.6434795\",\n \"0.6427546\",\n \"0.6426731\",\n \"0.64243734\",\n \"0.6418554\",\n \"0.64181\",\n \"0.64164275\",\n \"0.6413261\",\n \"0.6412956\",\n \"0.64123935\",\n \"0.6404784\",\n \"0.6402987\",\n \"0.640093\",\n \"0.63978416\",\n \"0.6397023\",\n \"0.63945687\",\n \"0.6381715\",\n \"0.63789654\",\n \"0.63782084\",\n \"0.63776886\",\n \"0.63776886\",\n \"0.63760304\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.84279215"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":173,"cells":{"query":{"kind":"string","value":"removes the max value from the heap"},"document":{"kind":"string","value":"removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.length === 2) return this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\n\n let max = this.array[1];\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// save reference to root value (max)\n\n this.array[1] = this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t // remove last val in array (farthest right node in tree), and update root value with it\n\n this.siftDown(1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\n\n return max;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// return max value\n }","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","removeMin() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","extractMax() {\r\n\t\tconst max = this.heap[0];\r\n\t\tthis.remove(max);\r\n\t\treturn max;\r\n\t}","extractMax() {\n\t\tconst max = this.heap[0];\n\t\tconst tmp = this.heap.pop();\n\t\tif (!this.empty()) {\n\t\t\tthis.heap[0] = tmp;\n\t\t\tthis.sinkDown(0);\n\t\t}\n\t\treturn max;\n\t}","remove() {\n // Swap root value with last element in the heap\n // Pop the last element from heap array\n // Perform siftDown to correct position of swapped value\n // Return popped value\n this.swap(0, this.heap.length - 1, this.heap);\n const valueToRemove = this.heap.pop();\n this.siftDown(0, this.heap.length - 1, this.heap);\n \n return valueToRemove;\n }","function maxHeapify(arr){\n\n}","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","function nMax(){\n var arr=[-3,3,5,7];\n var max= arr[0];\n for(var i = 0; i< arr.length; i++){\n if(arr[i]>max){\n max=arr[i];\n arr.splice(max);\n }\n }\n for(var i=0; i<arr.length;i++){\n if(arr[i]>max){\n max=arr[i];\n \n }\n }\n console.log(max);\n return max;\n }","function maxHeap(val, parentVal) {\n return val > parentVal;\n}","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","delMin() {\n /*\n * Save reference to the min key.\n * Swap the min key with the last key in the heap.\n * Decrement n so that the key does not swim back up the heap.\n * Sink down the heap to fix any violations that have arisen.\n * Delete the min key to prevent loitering, and return its reference.\n */\n let min = this.heap[1];\n\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\n this.n--;\n this.sink(1);\n this.heap[this.n+1] = null;\n\n return min;\n }","function deleteMax(h) { \n if (isRed(h.left))\n h = rotateRight(h);\n\n if (h.right == null || h.right == undefined)\n return null;\n\n if (!isRed(h.right) && !isRed(h.right.left))\n h = moveRedRight(h);\n\n h.right = deleteMax(h.right);\n\n return balance(h);\n }","heapDown(index) {\n const [leftIndex, rightIndex] = this.children(index);\n \n if (!leftIndex && !rightIndex) return;\n\n let min;\n rightIndex ? min = rightIndex : min = leftIndex;\n if ((leftIndex && rightIndex) &&\n this.store[leftIndex].key < this.store[rightIndex].key) {\n min = leftIndex;\n }\n\n if (this.store[index].key > this.store[min].key) {\n this.swap(index, min);\n this.heapDown(min);\n }\n }","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","extractMax(){\n const max = this.values.shift();\n let current = this.values.pop();\n if(this.values.length > 0){\n this.values.unshift(current);\n this.sinkDown();\n }\n return max;\n }","findMax() {\r\n\t\treturn this.heap[0];\r\n\t}","extractMax(){\r\n if(this.values.length === 1) return this.values.pop();\r\n const oldRoot = this.values[0];\r\n this.values[0] = this.values[this.values.length-1];\r\n this.values.pop();\r\n let idx = 0;\r\n let child1 = (2*idx) + 1;\r\n let child2 = (2*idx) + 2;\r\n\r\n while(this.values[idx] < this.values[child1] || \r\n this.values[idx] < this.values[child2]){\r\n child1 = (2*idx) + 1;\r\n child2 = (2*idx) + 2;\r\n if(this.values[child1] >= this.values[child2]){\r\n let temp = this.values[child1];\r\n this.values[child1] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child1;\r\n } else {\r\n let temp = this.values[child2];\r\n this.values[child2] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child2;\r\n }\r\n }\r\n return oldRoot;\r\n }","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.minHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","extractMax() {\n if (this.values.length===1) {\n return this.values.pop()\n }\n let max = this.values[0]\n let tail = this.values.pop()\n this.values[0] = tail\n let index = 0\n let element = this.values[index]\n // repeat until neither child is greater than the element\n while(true) {\n let swapped = null\n let leftIndex = 2 * index + 1\n let rightIndex = 2 * index + 2\n if (leftIndex < this.values.length) {\n if(this.values[leftIndex] > element) {\n swapped = leftIndex\n }\n }\n if (rightIndex < this.values.length) {\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\n swapped = rightIndex\n }\n }\n if (swapped===null) break\n this.values[index] = this.values[swapped]\n this.values[swapped] = element\n index = swapped\n }\n return max\n }","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}","extractMax() {\n let values = this.values;\n if (values.length === 0) return;\n let max = values[0];\n // For time complexity reasons, I swap first then remove the old root node\n values[0] = values[values.length - 1];\n values.pop();\n console.log(values);\n // instatiate child nodes\n let child1, child2, indexToSwap;\n let currentIndex = 0;\n while (true) {\n child1 = currentIndex * 2 + 1;\n child2 = currentIndex * 2 + 2;\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\n break;\n }\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\n if (!values[indexToSwap]) break;\n let oldNode = values[currentIndex];\n values[currentIndex] = values[indexToSwap];\n values[indexToSwap] = oldNode;\n currentIndex = indexToSwap;\n }\n this.values = values;\n return max;\n }","buildMaxHeap() {}","maxToBack(){\n var runner = this.head;\n var max = this.head\n var prevnode = this.head\n var maxprev = null\n while (runner != null) {\n if (runner.val > max.val) {\n max = runner;\n maxprev = prevnode\n }\n prevnode = runner\n runner = runner.next\n }\n prevnode.next = max\n maxprev.next = max.next\n max.next = null;\n }","function MaxPriorityQueue(array){\r\n MaxHeap.call(this, array)\r\n}","maxHeap(index) {\n var left = this.left(index);\n var right = this.right(index);\n var largest = index;\n if (left < this.heapSize && this.array[left] > this.array[index]) {\n largest = left;\n }\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\n largest = right;\n }\n if (largest != index) {\n this.swap(this.array, index, largest);\n this.maxHeap(largest);\n }\n }","function buildMaxHeap() {\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\n maxHeapify(i, array.length);\n }\n}","Dequeue() {\r\n if (this.heap.length == 0) return;\r\n const highestPriority = this.heap[0];\r\n const leastPriority = this.heap[this.heap.length - 1];\r\n //swap first and last priority\r\n this.heap[this.heap.length - 1] = highestPriority;\r\n this.heap[0] = leastPriority;\r\n this.heap.pop();\r\n let nodeIndex = 0; //sink down\r\n while (true) {\r\n const left = this.heap[2 * nodeIndex + 1];\r\n const right = this.heap[2 * nodeIndex + 2];\r\n const leastElement = this.heap[nodeIndex];\r\n if (\r\n right &&\r\n right.priority < left.priority &&\r\n right.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 2] = leastElement;\r\n this.heap[nodeIndex] = right;\r\n nodeIndex = 2 * nodeIndex + 2;\r\n } else if (\r\n left &&\r\n left.priority < right.priority &&\r\n left.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 1] = leastElement;\r\n this.heap[nodeIndex] = left;\r\n nodeIndex = 2 * nodeIndex + 1;\r\n } else {\r\n break;\r\n }\r\n }\r\n\r\n return highestPriority;\r\n }","function MaxHeap(array){\r\n Heap.call(this, array);\r\n \r\n // Build-max-heap method: produces a max-heap from an unordered input array\r\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\r\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\r\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\r\n this.floatDownElementOfIndex(i)\r\n }\r\n}","extractMax() {\n const max = this.values[0];\n const end = this.values.pop();\n this.values[0] = end;\n this.sinkDown();\n return max;\n }","remove() {\n if (this.isEmpty()) return;\n this.swap(0, this.store.length - 1);\n const { value } = this.store.pop();\n if (!this.isEmpty()) this.heapDown(0);\n return value;\n }","static maxHeapify(a, i) {\n let left = Heap.left(i);\n let right = Heap.right(i);\n\n // Find largest node between current, left and right\n let largest;\n if (left < a.heap_size && a[left] > a[i])\n largest = left;\n else\n largest = i;\n\n if (right < a.heap_size && a[right] > a[largest])\n largest = right;\n\n // Move current element to 'largest' position, and\n // continue until the element is positioned correctly\n if (largest != i) {\n let temp = a[i];\n a[i] = a[largest];\n a[largest] = temp;\n\n Heap.maxHeapify(a, largest);\n }\n }","function heapSortV2(array) {\n\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\n heapify(array, array.length, i); // array length not really used for this part\n }\n\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \"delete\" max val until heap region is \"empty\"\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\n\n console.log(array);\n\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\n }\n\n return array;\n}","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","function heapSort(array){\n // 1: Construction\n let heap = new MaxHeap()\n array.forEach(ele => {\n heap.insert(ele)\n });\n\n// 2: sortdown \n let sorted = []\n while (heap.array.length > 1){\n sorted.push(heap.deleteMax())\n }\n return sorted\n}","function MinHeap(){\n\tthis.maxIndex = -1;\n\tthis.arr = {};\n}","dequeue (){\n // let removedRoot = this.values[0];\n //replace with last added value\n //TEACHERS SOLUTION\n const min = this.values[0];\n const end = this.values.pop();\n //EDGE CASE IF NOTHING LEFT IN\n if(this.values.length > 0){\n //LINE 97 CAUSES A FOREVER LOOP WITH THE LAST ELEMENT IF WE DON'T ADD THE CONDITIONAL, BECAUSE WE REASSIGN THE ROOT TO BE END (WHICH WAS THE ORIGINAL ROOT IF THERE'S ONLY ONE ELEMENT)\n this.values[0] = end;\n //START TRICKLE DOWN\n this.sinkDown();\n }\n \n \n return min;\n }","remove(key) {\n this.storage.set(getIndexBelowMax(key), undefined);\n }","extractMax() {\n // swap the first value in the values property with the last value\n // pop from the values property, so you can return the value at the end.\n // 'sink down' to the correct spot\n const max = this.values[0];\n const end = this.values.pop();\n if (this.values.length > 0) {\n this.values[0] = end;\n // move it to the correct position\n this.bubbleDown();\n }\n return max;\n }","function maxHeapify(arr, length, parent) {\n var largest = parent;\n var leftChild = 2 * parent + 1;\n var rightChild = 2 * parent + 2;\n\n if (leftChild < length && arr[leftChild] > arr[largest]) {\n largest = leftChild;\n }\n\n if (rightChild < length && arr[rightChild] > arr[largest]) {\n largest = rightChild;\n }\n\n if (largest != parent) {\n var temp = arr[largest];\n arr[largest] = arr[parent];\n arr[parent] = temp;\n\n maxHeapify(arr, length, largest);\n }\n}","function maxHeapBuild(arr) {\n if (arr.length <= 1) return;\n createHeap(arr, arr.length);\n return arr;\n}","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","maxToBack(){\n // your code here\n var runner = this.head\n var max = runner\n while (runner.next != null){\n if (runner.next.value > max.value){\n max = runner.next\n }\n runner = runner.next\n }\n var temp = runner.value\n runner.value = max.value\n max.value = temp\n return this\n }","function heapifyStandart(currentIndex, heapSize ,arr){\n\n var largestElement = currentIndex\n var leftIndex = 2 * currentIndex + 1\n var rightIndex = 2 * currentIndex + 2\n\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\n largestElement = leftIndex\n }\n \n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\n largestElement = rightIndex\n }\n\n if (largestElement != currentIndex){\n swapArrayElement(currentIndex, largestElement, arr)\n heapifyStandart(largestElement, heapSize, arr)\n }\n}","static buildMaxHeap(a) {\n a.heap_size = a.length;\n\n // Max-heapify the first n/2 elements as\n // they are tree nodes, and the remaining are\n // usually tree leaves\n let mid = parseInt(a.length / 2);\n for (let i = mid; i >= 0; i -= 1) {\n Heap.maxHeapify(a, i);\n }\n }","function minheap_extract(heap) \n{\n var PrintE;\n PrintE = heap[0];\n heap[0] = heap[heap.length - 1];\n\n var a,large;\n var temp = heap.pop();\n for (a=0;a<heap.length;a=large)\n {\n if (2*a+2>heap.length)\n {break;}\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\n {\n if (heap[a]>heap[2*a+2])\n {\n temp = heap [a];\n heap[a] = heap[2*a+2];\n heap[2*a+2] = temp; \n large = 2*a+2; \n }\n else\n {break;}\n }\n else\n {\n if (heap[a]>heap[2*a+1])\n {\n temp = heap [2*a+1];\n heap[2*a+1] = heap[a];\n heap[a] = temp; \n large = 2*a+1;\n }\n else\n {break;}\n }\n }\n return PrintE;\n}","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","function heap_root(input, i) { \n var left = 2 * i + 1; \n var right = 2 * i + 2; \n var max = i; \n \n if (left < array_length && input[left] > input[max]) { \n max = left; \n } \n \n if (right < array_length && input[right] > input[max]) { \n max = right; \n } \n \n if (max != i) { \n swap(input, i, max); \n heap_root(input, max); \n } \n}","function heapDown(i) {\n\t var w = heapWeight(i)\n\t while(true) {\n\t var tw = w\n\t var left = 2*i + 1\n\t var right = 2*(i + 1)\n\t var next = i\n\t if(left < heapCount) {\n\t var lw = heapWeight(left)\n\t if(lw < tw) {\n\t next = left\n\t tw = lw\n\t }\n\t }\n\t if(right < heapCount) {\n\t var rw = heapWeight(right)\n\t if(rw < tw) {\n\t next = right\n\t }\n\t }\n\t if(next === i) {\n\t return i\n\t }\n\t heapSwap(i, next)\n\t i = next \n\t }\n\t }","function heapDown(i) {\n\t var w = heapWeight(i)\n\t while(true) {\n\t var tw = w\n\t var left = 2*i + 1\n\t var right = 2*(i + 1)\n\t var next = i\n\t if(left < heapCount) {\n\t var lw = heapWeight(left)\n\t if(lw < tw) {\n\t next = left\n\t tw = lw\n\t }\n\t }\n\t if(right < heapCount) {\n\t var rw = heapWeight(right)\n\t if(rw < tw) {\n\t next = right\n\t }\n\t }\n\t if(next === i) {\n\t return i\n\t }\n\t heapSwap(i, next)\n\t i = next \n\t }\n\t }","function heapDown(i) {\n var w = heapWeight(i)\n while(true) {\n var tw = w\n var left = 2*i + 1\n var right = 2*(i + 1)\n var next = i\n if(left < heapCount) {\n var lw = heapWeight(left)\n if(lw < tw) {\n next = left\n tw = lw\n }\n }\n if(right < heapCount) {\n var rw = heapWeight(right)\n if(rw < tw) {\n next = right\n }\n }\n if(next === i) {\n return i\n }\n heapSwap(i, next)\n i = next \n }\n }","function heapSort(inputArr){\n var heap = new Heap;\n for(i=0; i<inputArr.length; i++){\n heap.add(inputArr[i])\n }\n var outputArr = []\n for(i=0; i<inputArr.length; i++){\n outputArr.push(heap.remove())\n }\n console.log(outputArr)\n return outputArr\n}","heapifyDown(){\n let idx = 0,\n element = this.values[idx],\n swap,\n leftChildIdx,\n rightChildIdx,\n leftChild,\n rightChild;\n while (true){\n swap = null;\n leftChildIdx = (2 * idx) + 1;\n rightChildIdx = (2 * idx) + 2;\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\n swap = leftChildIdx\n }\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\n swap = rightChildIdx;\n }\n if (swap === null) break;\n this.values[idx] = this.values[swap];\n this.values[swap] = element;\n idx = swap; \n } \n }","function heapify(arr) {\n if (arr.length < 1) return arr\n for (let i = arr.length - 1; i >= 0; i--) {\n minHeapify(arr, i)\n }\n return arr\n}","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","function maxHeapify(idx, hSize) {\n let largest;\n const left = (2 * idx) + 1;\n const right = (2 * idx) + 2;\n if (left < hSize && array[left] > array[idx]) {\n largest = left;\n } else {\n largest = idx;\n }\n if (right < hSize && array[right] > array[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n const temp = array[idx];\n array[idx] = array[largest];\n array[largest] = temp;\n maxHeapify(largest, hSize);\n }\n}","extractMax() {\n const max = this.values[0]\n const end = this.values.pop()\n\n if (this.values.length > 0) {\n this.values[0] = end\n this._sinkDown()\n }\n\n return max\n }","async function MaxHeapify( i, heapSize)\n{\n\n let hasLeft = (2 * i + 1 < heapSize) ? true : false;\n let hasRight = (2 * i + 2 < heapSize) ? true : false;\n let l, r;\n let largest = i;\n if (hasLeft)\n l = arr[2 * i + 1].offsetHeight;\n if (hasRight)\n r = arr[2 * i + 2].offsetHeight;\n if (hasLeft && arr[i].offsetHeight < l)\n {\n largest = 2 * i + 1;\n }\n if (hasRight && arr[largest].offsetHeight < r)\n {\n largest = 2 * i + 2;\n }\n if (largest != i)\n {\n arr[i].style.backgroundColor='white';\n arr[largest].style.backgroundColor='green';\n await timer(delay);\n await swap(i, largest);\n arr[i].style.backgroundColor='red';\n arr[largest].style.backgroundColor='red';\n await MaxHeapify(largest, heapSize);\n }\n}","remove(element,comparator=this.compare){\r\n let totalOccurenceOfElement=this.find(element,comparator).length;\r\n for(let i=0;i<totalOccurenceOfElement;i++){\r\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\r\n let heapSize=this.heapContainer.length;\r\n // if the element is at last index simply remove it as we\r\n // don't need to haepify\r\n if(removeIndex===heapSize-1){\r\n this.heapContainer.pop();\r\n }\r\n else{\r\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \r\n this.heapContainer.pop();\r\n let parentElement=this.getParent(removeIndex);\r\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\r\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\r\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\r\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \r\n // down side\r\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\r\n this.heapifyDown(removeIndex);\r\n }\r\n else{\r\n this.heapifyUp(removeIndex);\r\n }\r\n }\r\n \r\n }\r\n return this;\r\n }","pop(){\r\n if (this.top === -1){\r\n return undefined;\r\n }else{\r\n delete this.storage[this.top];\r\n this.top -= 1;\r\n }\r\n }","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","heapify() {\n\t\t// last index is one less than the size\n\t\tlet index = this.size() - 1;\n\n\t\t/*\n Property of ith element in binary heap - \n left child is at = (2*i)th position\n right child is at = (2*i+1)th position\n parent is at = floor(i/2)th position\n */\n\n\t\t// converting entire array into heap from behind to front\n\t\t// just like heapify function to create it MAX HEAP\n\t\twhile (index > 0) {\n\t\t\t// pull out element from the array and find parent element\n\t\t\tlet element = this.heap[index],\n\t\t\t\tparentIndex = Math.floor((index - 1) / 2),\n\t\t\t\tparent = this.heap[parentIndex];\n\n\t\t\t// if parent is greater or equal, its already a heap hence break\n\t\t\tif (parent[0] >= element[0]) break;\n\t\t\t// else swap the values as we're creating a max heap\n\t\t\tthis.heap[index] = parent;\n\t\t\tthis.heap[parentIndex] = element;\n\t\t\tindex = parentIndex;\n\t\t}\n\t}","heapify(/*index*/ i) {\n let l = this.left(i);\n let r = this.right(i);\n let biggest = i;\n if (l < this.heap_size && this.harr[i].element.compareByMulKeys(this.harr[l].element, this.compareValues) == -1)\n biggest = l;\n if (r < this.heap_size && this.harr[biggest].element.compareByMulKeys(this.harr[r].element, this.compareValues) == -1)\n biggest = r;\n if (biggest != i) {\n this.swap(this.harr, i, biggest);\n this.heapify(biggest);\n }\n }","function maxHeapify(arr , n , i)\n\t{\n\t\n\t\t// Find largest of node and its children\n\t\tif (i >= n) {\n\t\t\treturn;\n\t\t}\n\t\tvar l = i * 2 + 1;\n\t\tvar r = i * 2 + 2;\n\t\tvar max;\n\t\tif (l < n && arr[l] > arr[i]) {\n\t\t\tmax = l;\n\t\t} else\n\t\t\tmax = i;\n\t\tif (r < n && arr[r] > arr[max]) {\n\t\t\tmax = r;\n\t\t}\n\n\t\t// Put maximum value at root and\n\t\t// recur for the child with the\n\t\t// maximum value\n\t\tif (max != i) {\n\t\t\tvar temp = arr[max];\n\t\t\tarr[max] = arr[i];\n\t\t\tarr[i] = temp;\n\t\t\tmaxHeapify(arr, n, max);\n\t\t}\n\t}","dequeue() {\n const [next] = this.values;\n this.values[0] = this.values.pop();\n let childLeft, childRight;\n let curr = 0;\n while (true) {\n let childLeftIdx = 2 * curr + 1;\n let childRightIdx = childLeft + 1;\n let swap = null;\n if (childLeftIdx < this.values.length) {\n childLeft = this.values[childLeftIdx];\n if (childLeft.priority > this.values[curr].priority) {\n swap = childLeft;\n }\n\n if (childRightIdx < this.values.length) {\n childRight = this.values[childRight];\n if (\n (swap === null &&\n childRight.priority < this.values[curr].priority) ||\n (swap !== null && childRight < childLeft.priority)\n ) {\n swap = childRightIdx;\n }\n }\n\n if (swap === null) break;\n const temp = this.values[curr];\n this.values[curr] = this.values[swap];\n this.values[swap] = temp;\n curr = swap;\n }\n }\n }","function minheap_extract(heap) {\n swap(heap,0,heap.length - 1);\n var to_pop = heap.pop();\n var parent = 0;\n var child = parent * 2 + 1;\n while(child < heap.length){\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\n child = child + 1;\n }\n if(heap[child] < heap[parent]){\n swap(heap,child,parent);\n parent = child;\n child = parent * 2 + 1; \n }\n else{\n break;\n }\n }\n return to_pop;\n // STENCIL: implement your min binary heap extract operation\n}","function heapify(currentIndex, arr){\n\n if (isHavingChildrenLeft(currentIndex, arr)) {\n let parent = arr[currentIndex]\n\n if (isHavingChildrenRight(currentIndex, arr)){\n let maxChildren = Math.max(arr[currentIndex * 2 + 1], arr[currentIndex * 2 + 2])\n if (parent < maxChildren){\n let maxChilrenIndex = maxChildren == arr[currentIndex * 2 + 1] ? currentIndex * 2 + 1 : currentIndex * 2 + 2 \n swapArrayElement(currentIndex, maxChilrenIndex, arr)\n heapify(maxChilrenIndex, arr)\n }\n }else {\n if (parent < arr[currentIndex * 2 + 1]){\n swapArrayElement(currentIndex, currentIndex * 2 + 1, arr)\n heapify(currentIndex * 2 + 1, arr)\n }\n }\n }else {\n console.log(\"skipping index %d\", currentIndex)\n }\n}","function extractMin(heap) {\n if (heap.length < 1) return null\n // swap first and last element\n let temp = heap[0]\n heap[0] = heap[heap.length-1]\n heap[heap.length-1] = temp\n\n const result = heap.pop()\n minHeapify(heap, 0)\n return result\n}","function heapSort(arr){\n var sorted = [];\n var heap1 = new MaxHeap();\n \n for(let i=0; i<arr.length; i++){\n heap1.insert(arr[i]);\n }\n \n for(let i=0; i<arr.length; i++){\n sorted.push(heap1.delete());\n }\n return sorted;\n}","maxHeapify(arr, n, i) {\r\n\t\tlet largest = i;\r\n\t\tlet leftIndex = 2 * i + 1;\r\n\t\tlet rightIndex = 2 * i + 2;\r\n\r\n\t\tif (leftIndex < n && arr[leftIndex] > arr[largest]) {\r\n\t\t\tlargest = leftIndex;\r\n\t\t}\r\n\t\tif (rightIndex < n && arr[rightIndex] > arr[largest]) {\r\n\t\t\tlargest = rightIndex;\r\n\t\t}\r\n\t\tif (largest != i) {\r\n\t\t\tlet temp = arr[i];\r\n\t\t\tarr[i] = arr[largest];\r\n\t\t\tarr[largest] = temp;\r\n\t\t\tthis.maxHeapify(arr, n, largest);\r\n\t\t}\r\n\t}","function thirdLargestNode(tree) {\n tree.remove(tree._findMax().key);\n tree.remove(tree._findMax().key);\n return tree._findMax().key;\n}","function maxHeap(array, n, i) {\n let largest = i;\n let left = 2 * i + 1;\n let right = 2 * i + 2;\n if (left < n && array[left] > array[largest]) {\n largest = left;\n }\n\n // If right child is larger than largest so far\n if (right < n && array[right] > array[largest]) {\n largest = right;\n }\n\n // If largest is not root\n if (largest != i) {\n let swap = array[i];\n array[i] = array[largest];\n array[largest] = swap;\n\n // Recursively heapify the affected sub-tree\n maxHeap(array, n, largest);\n }\n}","function buildHeap(arr, type) {\n // gets the last index\n var lastIndex = arr.length - 1;\n // While the last index is greater than 0\n while (lastIndex > 0) {\n // get the parent index\n var parentIndex = Math.floor((lastIndex - 1) / 2);\n // get the items inside the parent\n // and the last index \n var lastItem = arr[lastIndex];\n var parentItem = arr[parentIndex];\n\n if (type === 'maxHeap') {\n // checks to see if the lastItem is greater\n // than the parentItem if so then do a swap\n if (lastItem > parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n else if (type === 'minHeap') {\n // checks to see if the lastItem is less\n // than the parentItem if so then do a swap\n if (lastItem < parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n\n }\n }","insert_num(num) {\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\n this.maxHeap.insert(num);\n } else {\n this.minHeap.insert(num);\n }\n\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\n this.minHeap.insert(this.maxHeap.extractMax());\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\n this.maxHeap.insert(this.minHeap.remove());\n }\n }","maxValue() {\n let currNode = this.top;\n let maxValue = this.top.value;\n \n while (currNode.next) {\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\n currNode = currNode.next;\n }\n \n return maxValue;\n }","extractMax() {\n let extracted = this.values[0]\n let end = this.values.pop()\n if (this.values.length > 0) {\n this.values[0] = end\n this.sinkDown()\n }\n return extracted\n }","extractMin() {\n if (this.size <= 0) return;\n if (this.size === 1) {\n this.size--;\n return this.data[0];\n }\n let root = this.data[0];\n this.data[0] = this.data[this.size - 1];\n this.size--;\n this.MinHeapify(0);\n return root;\n }","function heapDeleteRoot()\n{\n\tif (!this.isEmpty()) { \n\t\t// save root key and item pair\n\t\tvar root = [ this.h[1], this.h_item[1] ]; \n }\n\telse { //if heap is empty\n\t\treturn \"The heap is empty\";\n\t}\n\t// ... complete\n\tthis.h_item[1] = this.h_item[this.size];\n\n this.h[1] = this.h[this.size];\n this.heapify(1);\n\t\n //decrease the heap size by 1 since we delete from it\n this.size = this.size-1;\n\n\treturn root;\n}","function largestNum(arr, k) {\n\tif (!arr && !arr.length && !k) return false;\n\n\tlet shunk = arr.slice(0, k); //first shunk\n\tlet heap = [];\n\tshunk.forEach(n => insertHeap(heap, n));\n\n\tfor (let i = k; i < arr.length; i++) {\n\t\tif (arr[i] >= heap[0]) {\n\t\t\tupdateHeap(heap, arr[i]);\n\t\t}\n\t}\n\n\treturn heap;\n}","function heapify (heap) {\n // Get the parent idx of the last node\n var start = iparent(heap.arr.length - 1)\n while (start >= 0) {\n siftDown(start, heap)\n start -= 1\n }\n return heap\n}","function heapify(arr,comp){\r\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\r\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\r\n // Restore the heap property for i\r\n siftDown(arr, comp, i);\r\n }\r\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\r\n}","function max(arr){\n \n if(arr.length==2) //BASE CASE\n return arr[0]>arr[1]?arr[0]:arr[1]\n else //\n {\n arr[1]=arr[0]>arr[1]?arr[0]:arr[1]\n return max(arr.splice(1,arr.length-1))\n }\n \n}","pop() {\n //delete the current top values within the stack\n delete this.items[this.top];\n //deduct 1 from the top to show the new top index\n this.top = this.top -1;\n }","function heapify(A, idx, max) {\n var largest = idx,\n left = 2 * idx + 1,\n right = 2 * idx + 2;\n\n if (left < max && A[left] > A[idx]) {\n largest = left;\n }\n if (right < max && A[right] > A[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n swap(A, idx, largest);\n heapify(A, largest, max);\n }\n}","remove(item) {\n // Find number of items to remove.\n const numberOfItemsToRemove = this.find(item).length;\n\n for (let iteration = 0; iteration < numberOfItemsToRemove; iteration += 1) {\n // We need to find item index to remove each time after removal since\n // indices are being changed after each heapify process.\n const indexToRemove = this.find(item).pop();\n\n // If we need to remove last child in the heap then just remove it.\n // There is no need to heapify the heap afterwards.\n if (indexToRemove === this.heapContainer.length - 1) {\n this.heapContainer.pop();\n } else {\n // Move last element in heap to the vacant (removed) position.\n this.heapContainer[indexToRemove] = this.heapContainer.pop();\n\n // Get parent.\n const parentItem = this.parent(indexToRemove);\n\n // If there is no parent or parent is in correct order with the node\n // we're going to delete then heapify down. Otherwise heapify up.\n if (\n this.hasLeftChild(indexToRemove) &&\n (!parentItem || parentItem <= this.heapContainer[indexToRemove])\n ) {\n this.heapifyDown(indexToRemove);\n } else {\n this.heapifyUp(indexToRemove);\n }\n }\n }\n\n return this;\n }","function heapify(array, size, i) {\n let max = i // initialize max as root\n let left = 2 * i + 1\n let right = 2 * i + 2\n \n // if left child is larger than root\n if (left < size && array[left] > array[max])\n max = left\n \n // if right child is larger than max\n if (right < size && array[right] > array[max])\n max = right\n \n // if max is not root\n if (max != i) {\n // swap\n let temp = array[i]\n array[i] = array[max]\n array[max] = temp\n \n // recursively heapify the affected sub-tree\n heapify(array, size, max)\n }\n }","function heapSort(arr,comp){\r\n // Turn arr into a heap\r\n heapify(arr,comp);\r\n for(let i = arr.length-1; i > 0; i--){\r\n // The 0th element of a heap is the largest so move it to the top.\r\n [arr[0],arr[i]] = [arr[i],arr[0]];\r\n // The 0th element is no longer the largest; restore the heap property\r\n siftDown(arr,comp,0);\r\n }\r\n}","async function heapify(arr,length,i){\n chosen.style.color=\"black\";\n chosen.innerHTML=`Turning the remaining array into max heap...`;\n let largest=i;\n let left=i*2+1;\n let right=left+1;\n let rightBar=document.querySelector(`.bar${right}`);\n let leftBar=document.querySelector(`.bar${left}`);\n let iBar=document.querySelector(`.bar${i}`);\n await sleep(speed);\n iBar.style.backgroundColor=\"#3500d3\";//selected\n if (left<length)\n leftBar.style.backgroundColor=\"#f64c72\";//checking\n if (right<length)\n rightBar.style.backgroundColor=\"#f64c72\";//checking\n if (left<length && arr[left]>arr[largest])\n largest=left;\n if (right<length && arr[right]>arr[largest])\n largest=right;\n if(largest!=i){\n let largestBar=document.querySelector(`.bar${largest}`);\n iBar=document.querySelector(`.bar${i}`);\n [arr[largest],arr[i]]=[arr[i],arr[largest]];\n [largestBar.style.height,iBar.style.height]=[iBar.style.height,largestBar.style.height];\n [largestBar.innerHTML,iBar.innerHTML]=[iBar.innerHTML,largestBar.innerHTML];\n await sleep(speed);\n iBar.style.backgroundColor=\"#17a2b8\";//original\n leftBar.style.backgroundColor=\"#17a2b8\";//original\n rightBar.style.backgroundColor=\"#17a2b8\";//original\n\n await heapify(arr,length,largest);\n }\n iBar.style.backgroundColor=\"#17a2b8\";//original\n if (left<length)\n leftBar.style.backgroundColor=\"#17a2b8\";//original\n if (right<length)\n rightBar.style.backgroundColor=\"#17a2b8\";//original\n}","function pqdownheap(tree, k) {\n\t\tvar v = heap[k],\n\t\t\tj = k << 1; // left son of k\n\n\t\twhile (j <= heap_len) {\n\t\t\t// Set j to the smallest of the two sons:\n\t\t\tif (j < heap_len && SMALLER(tree, heap[j + 1], heap[j])) {\n\t\t\t\tj++;\n\t\t\t}\n\n\t\t\t// Exit if v is smaller than both sons\n\t\t\tif (SMALLER(tree, v, heap[j])) {\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\t// Exchange v with the smallest son\n\t\t\theap[k] = heap[j];\n\t\t\tk = j;\n\n\t\t\t// And continue down the tree, setting j to the left son of k\n\t\t\tj <<= 1;\n\t\t}\n\t\theap[k] = v;\n\t}","dequeue() {\n // set a variable equal to the object keys array\n var keys = Object.keys(this.storage);\n // set a variable equal to the lowest key value\n var lowest = this.storage[keys[0]];\n // delete the lowest key value\n delete this.storage[keys[0]];\n // return the lowest key value variable\n return lowest;\n }","function fix_extrema(slot) {\n if (slot.maximum !== undefined) {\n slot.max = slot.maximum;\n delete slot.maximum;\n }\n if (slot.minimum !== undefined) {\n slot.min = slot.minimum;\n delete slot.minimum;\n }\n }","delete(value) {\n if (this.head.back === this.head && this.head.value === value) {\n this.head = null;\n } else {\n let temp = this.head;\n\n while (temp.value !== value) {\n if (temp.forward.value <= temp.value) {\n return false;\n }\n temp = temp.forward;\n }\n\n temp.back.forward = temp.forward;\n temp.forward.back = temp.back;\n\n if (temp === this.head) {\n this.head = temp.forward;\n }\n\n delete this.temp;\n }\n this.size--;\n return true;\n }","function heapSort(array) {\n \n let heap = new MaxHeap();\n array.forEach(num => heap.insert(num)); // 1) build heap O(N) Amortized Time\n\n let sorted = [];\n while (heap.array.length > 1) { // 2) continously delete max and push deleted to sorted arr until heap empty\n sorted.push(heap.deleteMax()); // deletion takes log(N)\n }\n \n return sorted;\n}"],"string":"[\n \"deleteMax() {\\n // recall that we have an empty position at the very front of the array, \\n // so an array length of 2 means there is only 1 item in the heap\\n\\n if (this.array.length === 1) return null;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if no nodes in tree, exit\\n\\n if (this.array.length === 2) return this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\\n\\n let max = this.array[1];\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// save reference to root value (max)\\n\\n this.array[1] = this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // remove last val in array (farthest right node in tree), and update root value with it\\n\\n this.siftDown(1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\\n\\n return max;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// return max value\\n }\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"removeMin() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"extractMax() {\\r\\n\\t\\tconst max = this.heap[0];\\r\\n\\t\\tthis.remove(max);\\r\\n\\t\\treturn max;\\r\\n\\t}\",\n \"extractMax() {\\n\\t\\tconst max = this.heap[0];\\n\\t\\tconst tmp = this.heap.pop();\\n\\t\\tif (!this.empty()) {\\n\\t\\t\\tthis.heap[0] = tmp;\\n\\t\\t\\tthis.sinkDown(0);\\n\\t\\t}\\n\\t\\treturn max;\\n\\t}\",\n \"remove() {\\n // Swap root value with last element in the heap\\n // Pop the last element from heap array\\n // Perform siftDown to correct position of swapped value\\n // Return popped value\\n this.swap(0, this.heap.length - 1, this.heap);\\n const valueToRemove = this.heap.pop();\\n this.siftDown(0, this.heap.length - 1, this.heap);\\n \\n return valueToRemove;\\n }\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function nMax(){\\n var arr=[-3,3,5,7];\\n var max= arr[0];\\n for(var i = 0; i< arr.length; i++){\\n if(arr[i]>max){\\n max=arr[i];\\n arr.splice(max);\\n }\\n }\\n for(var i=0; i<arr.length;i++){\\n if(arr[i]>max){\\n max=arr[i];\\n \\n }\\n }\\n console.log(max);\\n return max;\\n }\",\n \"function maxHeap(val, parentVal) {\\n return val > parentVal;\\n}\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"delMin() {\\n /*\\n * Save reference to the min key.\\n * Swap the min key with the last key in the heap.\\n * Decrement n so that the key does not swim back up the heap.\\n * Sink down the heap to fix any violations that have arisen.\\n * Delete the min key to prevent loitering, and return its reference.\\n */\\n let min = this.heap[1];\\n\\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\\n this.n--;\\n this.sink(1);\\n this.heap[this.n+1] = null;\\n\\n return min;\\n }\",\n \"function deleteMax(h) { \\n if (isRed(h.left))\\n h = rotateRight(h);\\n\\n if (h.right == null || h.right == undefined)\\n return null;\\n\\n if (!isRed(h.right) && !isRed(h.right.left))\\n h = moveRedRight(h);\\n\\n h.right = deleteMax(h.right);\\n\\n return balance(h);\\n }\",\n \"heapDown(index) {\\n const [leftIndex, rightIndex] = this.children(index);\\n \\n if (!leftIndex && !rightIndex) return;\\n\\n let min;\\n rightIndex ? min = rightIndex : min = leftIndex;\\n if ((leftIndex && rightIndex) &&\\n this.store[leftIndex].key < this.store[rightIndex].key) {\\n min = leftIndex;\\n }\\n\\n if (this.store[index].key > this.store[min].key) {\\n this.swap(index, min);\\n this.heapDown(min);\\n }\\n }\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"extractMax(){\\n const max = this.values.shift();\\n let current = this.values.pop();\\n if(this.values.length > 0){\\n this.values.unshift(current);\\n this.sinkDown();\\n }\\n return max;\\n }\",\n \"findMax() {\\r\\n\\t\\treturn this.heap[0];\\r\\n\\t}\",\n \"extractMax(){\\r\\n if(this.values.length === 1) return this.values.pop();\\r\\n const oldRoot = this.values[0];\\r\\n this.values[0] = this.values[this.values.length-1];\\r\\n this.values.pop();\\r\\n let idx = 0;\\r\\n let child1 = (2*idx) + 1;\\r\\n let child2 = (2*idx) + 2;\\r\\n\\r\\n while(this.values[idx] < this.values[child1] || \\r\\n this.values[idx] < this.values[child2]){\\r\\n child1 = (2*idx) + 1;\\r\\n child2 = (2*idx) + 2;\\r\\n if(this.values[child1] >= this.values[child2]){\\r\\n let temp = this.values[child1];\\r\\n this.values[child1] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child1;\\r\\n } else {\\r\\n let temp = this.values[child2];\\r\\n this.values[child2] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child2;\\r\\n }\\r\\n }\\r\\n return oldRoot;\\r\\n }\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.minHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"extractMax() {\\n if (this.values.length===1) {\\n return this.values.pop()\\n }\\n let max = this.values[0]\\n let tail = this.values.pop()\\n this.values[0] = tail\\n let index = 0\\n let element = this.values[index]\\n // repeat until neither child is greater than the element\\n while(true) {\\n let swapped = null\\n let leftIndex = 2 * index + 1\\n let rightIndex = 2 * index + 2\\n if (leftIndex < this.values.length) {\\n if(this.values[leftIndex] > element) {\\n swapped = leftIndex\\n }\\n }\\n if (rightIndex < this.values.length) {\\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\\n swapped = rightIndex\\n }\\n }\\n if (swapped===null) break\\n this.values[index] = this.values[swapped]\\n this.values[swapped] = element\\n index = swapped\\n }\\n return max\\n }\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\",\n \"extractMax() {\\n let values = this.values;\\n if (values.length === 0) return;\\n let max = values[0];\\n // For time complexity reasons, I swap first then remove the old root node\\n values[0] = values[values.length - 1];\\n values.pop();\\n console.log(values);\\n // instatiate child nodes\\n let child1, child2, indexToSwap;\\n let currentIndex = 0;\\n while (true) {\\n child1 = currentIndex * 2 + 1;\\n child2 = currentIndex * 2 + 2;\\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\\n break;\\n }\\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\\n if (!values[indexToSwap]) break;\\n let oldNode = values[currentIndex];\\n values[currentIndex] = values[indexToSwap];\\n values[indexToSwap] = oldNode;\\n currentIndex = indexToSwap;\\n }\\n this.values = values;\\n return max;\\n }\",\n \"buildMaxHeap() {}\",\n \"maxToBack(){\\n var runner = this.head;\\n var max = this.head\\n var prevnode = this.head\\n var maxprev = null\\n while (runner != null) {\\n if (runner.val > max.val) {\\n max = runner;\\n maxprev = prevnode\\n }\\n prevnode = runner\\n runner = runner.next\\n }\\n prevnode.next = max\\n maxprev.next = max.next\\n max.next = null;\\n }\",\n \"function MaxPriorityQueue(array){\\r\\n MaxHeap.call(this, array)\\r\\n}\",\n \"maxHeap(index) {\\n var left = this.left(index);\\n var right = this.right(index);\\n var largest = index;\\n if (left < this.heapSize && this.array[left] > this.array[index]) {\\n largest = left;\\n }\\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\\n largest = right;\\n }\\n if (largest != index) {\\n this.swap(this.array, index, largest);\\n this.maxHeap(largest);\\n }\\n }\",\n \"function buildMaxHeap() {\\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\\n maxHeapify(i, array.length);\\n }\\n}\",\n \"Dequeue() {\\r\\n if (this.heap.length == 0) return;\\r\\n const highestPriority = this.heap[0];\\r\\n const leastPriority = this.heap[this.heap.length - 1];\\r\\n //swap first and last priority\\r\\n this.heap[this.heap.length - 1] = highestPriority;\\r\\n this.heap[0] = leastPriority;\\r\\n this.heap.pop();\\r\\n let nodeIndex = 0; //sink down\\r\\n while (true) {\\r\\n const left = this.heap[2 * nodeIndex + 1];\\r\\n const right = this.heap[2 * nodeIndex + 2];\\r\\n const leastElement = this.heap[nodeIndex];\\r\\n if (\\r\\n right &&\\r\\n right.priority < left.priority &&\\r\\n right.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 2] = leastElement;\\r\\n this.heap[nodeIndex] = right;\\r\\n nodeIndex = 2 * nodeIndex + 2;\\r\\n } else if (\\r\\n left &&\\r\\n left.priority < right.priority &&\\r\\n left.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 1] = leastElement;\\r\\n this.heap[nodeIndex] = left;\\r\\n nodeIndex = 2 * nodeIndex + 1;\\r\\n } else {\\r\\n break;\\r\\n }\\r\\n }\\r\\n\\r\\n return highestPriority;\\r\\n }\",\n \"function MaxHeap(array){\\r\\n Heap.call(this, array);\\r\\n \\r\\n // Build-max-heap method: produces a max-heap from an unordered input array\\r\\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\\r\\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\\r\\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\\r\\n this.floatDownElementOfIndex(i)\\r\\n }\\r\\n}\",\n \"extractMax() {\\n const max = this.values[0];\\n const end = this.values.pop();\\n this.values[0] = end;\\n this.sinkDown();\\n return max;\\n }\",\n \"remove() {\\n if (this.isEmpty()) return;\\n this.swap(0, this.store.length - 1);\\n const { value } = this.store.pop();\\n if (!this.isEmpty()) this.heapDown(0);\\n return value;\\n }\",\n \"static maxHeapify(a, i) {\\n let left = Heap.left(i);\\n let right = Heap.right(i);\\n\\n // Find largest node between current, left and right\\n let largest;\\n if (left < a.heap_size && a[left] > a[i])\\n largest = left;\\n else\\n largest = i;\\n\\n if (right < a.heap_size && a[right] > a[largest])\\n largest = right;\\n\\n // Move current element to 'largest' position, and\\n // continue until the element is positioned correctly\\n if (largest != i) {\\n let temp = a[i];\\n a[i] = a[largest];\\n a[largest] = temp;\\n\\n Heap.maxHeapify(a, largest);\\n }\\n }\",\n \"function heapSortV2(array) {\\n\\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\\n heapify(array, array.length, i); // array length not really used for this part\\n }\\n\\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \\\"delete\\\" max val until heap region is \\\"empty\\\"\\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\\n\\n console.log(array);\\n\\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\\n }\\n\\n return array;\\n}\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"function heapSort(array){\\n // 1: Construction\\n let heap = new MaxHeap()\\n array.forEach(ele => {\\n heap.insert(ele)\\n });\\n\\n// 2: sortdown \\n let sorted = []\\n while (heap.array.length > 1){\\n sorted.push(heap.deleteMax())\\n }\\n return sorted\\n}\",\n \"function MinHeap(){\\n\\tthis.maxIndex = -1;\\n\\tthis.arr = {};\\n}\",\n \"dequeue (){\\n // let removedRoot = this.values[0];\\n //replace with last added value\\n //TEACHERS SOLUTION\\n const min = this.values[0];\\n const end = this.values.pop();\\n //EDGE CASE IF NOTHING LEFT IN\\n if(this.values.length > 0){\\n //LINE 97 CAUSES A FOREVER LOOP WITH THE LAST ELEMENT IF WE DON'T ADD THE CONDITIONAL, BECAUSE WE REASSIGN THE ROOT TO BE END (WHICH WAS THE ORIGINAL ROOT IF THERE'S ONLY ONE ELEMENT)\\n this.values[0] = end;\\n //START TRICKLE DOWN\\n this.sinkDown();\\n }\\n \\n \\n return min;\\n }\",\n \"remove(key) {\\n this.storage.set(getIndexBelowMax(key), undefined);\\n }\",\n \"extractMax() {\\n // swap the first value in the values property with the last value\\n // pop from the values property, so you can return the value at the end.\\n // 'sink down' to the correct spot\\n const max = this.values[0];\\n const end = this.values.pop();\\n if (this.values.length > 0) {\\n this.values[0] = end;\\n // move it to the correct position\\n this.bubbleDown();\\n }\\n return max;\\n }\",\n \"function maxHeapify(arr, length, parent) {\\n var largest = parent;\\n var leftChild = 2 * parent + 1;\\n var rightChild = 2 * parent + 2;\\n\\n if (leftChild < length && arr[leftChild] > arr[largest]) {\\n largest = leftChild;\\n }\\n\\n if (rightChild < length && arr[rightChild] > arr[largest]) {\\n largest = rightChild;\\n }\\n\\n if (largest != parent) {\\n var temp = arr[largest];\\n arr[largest] = arr[parent];\\n arr[parent] = temp;\\n\\n maxHeapify(arr, length, largest);\\n }\\n}\",\n \"function maxHeapBuild(arr) {\\n if (arr.length <= 1) return;\\n createHeap(arr, arr.length);\\n return arr;\\n}\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"maxToBack(){\\n // your code here\\n var runner = this.head\\n var max = runner\\n while (runner.next != null){\\n if (runner.next.value > max.value){\\n max = runner.next\\n }\\n runner = runner.next\\n }\\n var temp = runner.value\\n runner.value = max.value\\n max.value = temp\\n return this\\n }\",\n \"function heapifyStandart(currentIndex, heapSize ,arr){\\n\\n var largestElement = currentIndex\\n var leftIndex = 2 * currentIndex + 1\\n var rightIndex = 2 * currentIndex + 2\\n\\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\\n largestElement = leftIndex\\n }\\n \\n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\\n largestElement = rightIndex\\n }\\n\\n if (largestElement != currentIndex){\\n swapArrayElement(currentIndex, largestElement, arr)\\n heapifyStandart(largestElement, heapSize, arr)\\n }\\n}\",\n \"static buildMaxHeap(a) {\\n a.heap_size = a.length;\\n\\n // Max-heapify the first n/2 elements as\\n // they are tree nodes, and the remaining are\\n // usually tree leaves\\n let mid = parseInt(a.length / 2);\\n for (let i = mid; i >= 0; i -= 1) {\\n Heap.maxHeapify(a, i);\\n }\\n }\",\n \"function minheap_extract(heap) \\n{\\n var PrintE;\\n PrintE = heap[0];\\n heap[0] = heap[heap.length - 1];\\n\\n var a,large;\\n var temp = heap.pop();\\n for (a=0;a<heap.length;a=large)\\n {\\n if (2*a+2>heap.length)\\n {break;}\\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\\n {\\n if (heap[a]>heap[2*a+2])\\n {\\n temp = heap [a];\\n heap[a] = heap[2*a+2];\\n heap[2*a+2] = temp; \\n large = 2*a+2; \\n }\\n else\\n {break;}\\n }\\n else\\n {\\n if (heap[a]>heap[2*a+1])\\n {\\n temp = heap [2*a+1];\\n heap[2*a+1] = heap[a];\\n heap[a] = temp; \\n large = 2*a+1;\\n }\\n else\\n {break;}\\n }\\n }\\n return PrintE;\\n}\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"function heap_root(input, i) { \\n var left = 2 * i + 1; \\n var right = 2 * i + 2; \\n var max = i; \\n \\n if (left < array_length && input[left] > input[max]) { \\n max = left; \\n } \\n \\n if (right < array_length && input[right] > input[max]) { \\n max = right; \\n } \\n \\n if (max != i) { \\n swap(input, i, max); \\n heap_root(input, max); \\n } \\n}\",\n \"function heapDown(i) {\\n\\t var w = heapWeight(i)\\n\\t while(true) {\\n\\t var tw = w\\n\\t var left = 2*i + 1\\n\\t var right = 2*(i + 1)\\n\\t var next = i\\n\\t if(left < heapCount) {\\n\\t var lw = heapWeight(left)\\n\\t if(lw < tw) {\\n\\t next = left\\n\\t tw = lw\\n\\t }\\n\\t }\\n\\t if(right < heapCount) {\\n\\t var rw = heapWeight(right)\\n\\t if(rw < tw) {\\n\\t next = right\\n\\t }\\n\\t }\\n\\t if(next === i) {\\n\\t return i\\n\\t }\\n\\t heapSwap(i, next)\\n\\t i = next \\n\\t }\\n\\t }\",\n \"function heapDown(i) {\\n\\t var w = heapWeight(i)\\n\\t while(true) {\\n\\t var tw = w\\n\\t var left = 2*i + 1\\n\\t var right = 2*(i + 1)\\n\\t var next = i\\n\\t if(left < heapCount) {\\n\\t var lw = heapWeight(left)\\n\\t if(lw < tw) {\\n\\t next = left\\n\\t tw = lw\\n\\t }\\n\\t }\\n\\t if(right < heapCount) {\\n\\t var rw = heapWeight(right)\\n\\t if(rw < tw) {\\n\\t next = right\\n\\t }\\n\\t }\\n\\t if(next === i) {\\n\\t return i\\n\\t }\\n\\t heapSwap(i, next)\\n\\t i = next \\n\\t }\\n\\t }\",\n \"function heapDown(i) {\\n var w = heapWeight(i)\\n while(true) {\\n var tw = w\\n var left = 2*i + 1\\n var right = 2*(i + 1)\\n var next = i\\n if(left < heapCount) {\\n var lw = heapWeight(left)\\n if(lw < tw) {\\n next = left\\n tw = lw\\n }\\n }\\n if(right < heapCount) {\\n var rw = heapWeight(right)\\n if(rw < tw) {\\n next = right\\n }\\n }\\n if(next === i) {\\n return i\\n }\\n heapSwap(i, next)\\n i = next \\n }\\n }\",\n \"function heapSort(inputArr){\\n var heap = new Heap;\\n for(i=0; i<inputArr.length; i++){\\n heap.add(inputArr[i])\\n }\\n var outputArr = []\\n for(i=0; i<inputArr.length; i++){\\n outputArr.push(heap.remove())\\n }\\n console.log(outputArr)\\n return outputArr\\n}\",\n \"heapifyDown(){\\n let idx = 0,\\n element = this.values[idx],\\n swap,\\n leftChildIdx,\\n rightChildIdx,\\n leftChild,\\n rightChild;\\n while (true){\\n swap = null;\\n leftChildIdx = (2 * idx) + 1;\\n rightChildIdx = (2 * idx) + 2;\\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\\n swap = leftChildIdx\\n }\\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\\n swap = rightChildIdx;\\n }\\n if (swap === null) break;\\n this.values[idx] = this.values[swap];\\n this.values[swap] = element;\\n idx = swap; \\n } \\n }\",\n \"function heapify(arr) {\\n if (arr.length < 1) return arr\\n for (let i = arr.length - 1; i >= 0; i--) {\\n minHeapify(arr, i)\\n }\\n return arr\\n}\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"function maxHeapify(idx, hSize) {\\n let largest;\\n const left = (2 * idx) + 1;\\n const right = (2 * idx) + 2;\\n if (left < hSize && array[left] > array[idx]) {\\n largest = left;\\n } else {\\n largest = idx;\\n }\\n if (right < hSize && array[right] > array[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n const temp = array[idx];\\n array[idx] = array[largest];\\n array[largest] = temp;\\n maxHeapify(largest, hSize);\\n }\\n}\",\n \"extractMax() {\\n const max = this.values[0]\\n const end = this.values.pop()\\n\\n if (this.values.length > 0) {\\n this.values[0] = end\\n this._sinkDown()\\n }\\n\\n return max\\n }\",\n \"async function MaxHeapify( i, heapSize)\\n{\\n\\n let hasLeft = (2 * i + 1 < heapSize) ? true : false;\\n let hasRight = (2 * i + 2 < heapSize) ? true : false;\\n let l, r;\\n let largest = i;\\n if (hasLeft)\\n l = arr[2 * i + 1].offsetHeight;\\n if (hasRight)\\n r = arr[2 * i + 2].offsetHeight;\\n if (hasLeft && arr[i].offsetHeight < l)\\n {\\n largest = 2 * i + 1;\\n }\\n if (hasRight && arr[largest].offsetHeight < r)\\n {\\n largest = 2 * i + 2;\\n }\\n if (largest != i)\\n {\\n arr[i].style.backgroundColor='white';\\n arr[largest].style.backgroundColor='green';\\n await timer(delay);\\n await swap(i, largest);\\n arr[i].style.backgroundColor='red';\\n arr[largest].style.backgroundColor='red';\\n await MaxHeapify(largest, heapSize);\\n }\\n}\",\n \"remove(element,comparator=this.compare){\\r\\n let totalOccurenceOfElement=this.find(element,comparator).length;\\r\\n for(let i=0;i<totalOccurenceOfElement;i++){\\r\\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\\r\\n let heapSize=this.heapContainer.length;\\r\\n // if the element is at last index simply remove it as we\\r\\n // don't need to haepify\\r\\n if(removeIndex===heapSize-1){\\r\\n this.heapContainer.pop();\\r\\n }\\r\\n else{\\r\\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \\r\\n this.heapContainer.pop();\\r\\n let parentElement=this.getParent(removeIndex);\\r\\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\\r\\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\\r\\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\\r\\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \\r\\n // down side\\r\\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\\r\\n this.heapifyDown(removeIndex);\\r\\n }\\r\\n else{\\r\\n this.heapifyUp(removeIndex);\\r\\n }\\r\\n }\\r\\n \\r\\n }\\r\\n return this;\\r\\n }\",\n \"pop(){\\r\\n if (this.top === -1){\\r\\n return undefined;\\r\\n }else{\\r\\n delete this.storage[this.top];\\r\\n this.top -= 1;\\r\\n }\\r\\n }\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"heapify() {\\n\\t\\t// last index is one less than the size\\n\\t\\tlet index = this.size() - 1;\\n\\n\\t\\t/*\\n Property of ith element in binary heap - \\n left child is at = (2*i)th position\\n right child is at = (2*i+1)th position\\n parent is at = floor(i/2)th position\\n */\\n\\n\\t\\t// converting entire array into heap from behind to front\\n\\t\\t// just like heapify function to create it MAX HEAP\\n\\t\\twhile (index > 0) {\\n\\t\\t\\t// pull out element from the array and find parent element\\n\\t\\t\\tlet element = this.heap[index],\\n\\t\\t\\t\\tparentIndex = Math.floor((index - 1) / 2),\\n\\t\\t\\t\\tparent = this.heap[parentIndex];\\n\\n\\t\\t\\t// if parent is greater or equal, its already a heap hence break\\n\\t\\t\\tif (parent[0] >= element[0]) break;\\n\\t\\t\\t// else swap the values as we're creating a max heap\\n\\t\\t\\tthis.heap[index] = parent;\\n\\t\\t\\tthis.heap[parentIndex] = element;\\n\\t\\t\\tindex = parentIndex;\\n\\t\\t}\\n\\t}\",\n \"heapify(/*index*/ i) {\\n let l = this.left(i);\\n let r = this.right(i);\\n let biggest = i;\\n if (l < this.heap_size && this.harr[i].element.compareByMulKeys(this.harr[l].element, this.compareValues) == -1)\\n biggest = l;\\n if (r < this.heap_size && this.harr[biggest].element.compareByMulKeys(this.harr[r].element, this.compareValues) == -1)\\n biggest = r;\\n if (biggest != i) {\\n this.swap(this.harr, i, biggest);\\n this.heapify(biggest);\\n }\\n }\",\n \"function maxHeapify(arr , n , i)\\n\\t{\\n\\t\\n\\t\\t// Find largest of node and its children\\n\\t\\tif (i >= n) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tvar l = i * 2 + 1;\\n\\t\\tvar r = i * 2 + 2;\\n\\t\\tvar max;\\n\\t\\tif (l < n && arr[l] > arr[i]) {\\n\\t\\t\\tmax = l;\\n\\t\\t} else\\n\\t\\t\\tmax = i;\\n\\t\\tif (r < n && arr[r] > arr[max]) {\\n\\t\\t\\tmax = r;\\n\\t\\t}\\n\\n\\t\\t// Put maximum value at root and\\n\\t\\t// recur for the child with the\\n\\t\\t// maximum value\\n\\t\\tif (max != i) {\\n\\t\\t\\tvar temp = arr[max];\\n\\t\\t\\tarr[max] = arr[i];\\n\\t\\t\\tarr[i] = temp;\\n\\t\\t\\tmaxHeapify(arr, n, max);\\n\\t\\t}\\n\\t}\",\n \"dequeue() {\\n const [next] = this.values;\\n this.values[0] = this.values.pop();\\n let childLeft, childRight;\\n let curr = 0;\\n while (true) {\\n let childLeftIdx = 2 * curr + 1;\\n let childRightIdx = childLeft + 1;\\n let swap = null;\\n if (childLeftIdx < this.values.length) {\\n childLeft = this.values[childLeftIdx];\\n if (childLeft.priority > this.values[curr].priority) {\\n swap = childLeft;\\n }\\n\\n if (childRightIdx < this.values.length) {\\n childRight = this.values[childRight];\\n if (\\n (swap === null &&\\n childRight.priority < this.values[curr].priority) ||\\n (swap !== null && childRight < childLeft.priority)\\n ) {\\n swap = childRightIdx;\\n }\\n }\\n\\n if (swap === null) break;\\n const temp = this.values[curr];\\n this.values[curr] = this.values[swap];\\n this.values[swap] = temp;\\n curr = swap;\\n }\\n }\\n }\",\n \"function minheap_extract(heap) {\\n swap(heap,0,heap.length - 1);\\n var to_pop = heap.pop();\\n var parent = 0;\\n var child = parent * 2 + 1;\\n while(child < heap.length){\\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\\n child = child + 1;\\n }\\n if(heap[child] < heap[parent]){\\n swap(heap,child,parent);\\n parent = child;\\n child = parent * 2 + 1; \\n }\\n else{\\n break;\\n }\\n }\\n return to_pop;\\n // STENCIL: implement your min binary heap extract operation\\n}\",\n \"function heapify(currentIndex, arr){\\n\\n if (isHavingChildrenLeft(currentIndex, arr)) {\\n let parent = arr[currentIndex]\\n\\n if (isHavingChildrenRight(currentIndex, arr)){\\n let maxChildren = Math.max(arr[currentIndex * 2 + 1], arr[currentIndex * 2 + 2])\\n if (parent < maxChildren){\\n let maxChilrenIndex = maxChildren == arr[currentIndex * 2 + 1] ? currentIndex * 2 + 1 : currentIndex * 2 + 2 \\n swapArrayElement(currentIndex, maxChilrenIndex, arr)\\n heapify(maxChilrenIndex, arr)\\n }\\n }else {\\n if (parent < arr[currentIndex * 2 + 1]){\\n swapArrayElement(currentIndex, currentIndex * 2 + 1, arr)\\n heapify(currentIndex * 2 + 1, arr)\\n }\\n }\\n }else {\\n console.log(\\\"skipping index %d\\\", currentIndex)\\n }\\n}\",\n \"function extractMin(heap) {\\n if (heap.length < 1) return null\\n // swap first and last element\\n let temp = heap[0]\\n heap[0] = heap[heap.length-1]\\n heap[heap.length-1] = temp\\n\\n const result = heap.pop()\\n minHeapify(heap, 0)\\n return result\\n}\",\n \"function heapSort(arr){\\n var sorted = [];\\n var heap1 = new MaxHeap();\\n \\n for(let i=0; i<arr.length; i++){\\n heap1.insert(arr[i]);\\n }\\n \\n for(let i=0; i<arr.length; i++){\\n sorted.push(heap1.delete());\\n }\\n return sorted;\\n}\",\n \"maxHeapify(arr, n, i) {\\r\\n\\t\\tlet largest = i;\\r\\n\\t\\tlet leftIndex = 2 * i + 1;\\r\\n\\t\\tlet rightIndex = 2 * i + 2;\\r\\n\\r\\n\\t\\tif (leftIndex < n && arr[leftIndex] > arr[largest]) {\\r\\n\\t\\t\\tlargest = leftIndex;\\r\\n\\t\\t}\\r\\n\\t\\tif (rightIndex < n && arr[rightIndex] > arr[largest]) {\\r\\n\\t\\t\\tlargest = rightIndex;\\r\\n\\t\\t}\\r\\n\\t\\tif (largest != i) {\\r\\n\\t\\t\\tlet temp = arr[i];\\r\\n\\t\\t\\tarr[i] = arr[largest];\\r\\n\\t\\t\\tarr[largest] = temp;\\r\\n\\t\\t\\tthis.maxHeapify(arr, n, largest);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function thirdLargestNode(tree) {\\n tree.remove(tree._findMax().key);\\n tree.remove(tree._findMax().key);\\n return tree._findMax().key;\\n}\",\n \"function maxHeap(array, n, i) {\\n let largest = i;\\n let left = 2 * i + 1;\\n let right = 2 * i + 2;\\n if (left < n && array[left] > array[largest]) {\\n largest = left;\\n }\\n\\n // If right child is larger than largest so far\\n if (right < n && array[right] > array[largest]) {\\n largest = right;\\n }\\n\\n // If largest is not root\\n if (largest != i) {\\n let swap = array[i];\\n array[i] = array[largest];\\n array[largest] = swap;\\n\\n // Recursively heapify the affected sub-tree\\n maxHeap(array, n, largest);\\n }\\n}\",\n \"function buildHeap(arr, type) {\\n // gets the last index\\n var lastIndex = arr.length - 1;\\n // While the last index is greater than 0\\n while (lastIndex > 0) {\\n // get the parent index\\n var parentIndex = Math.floor((lastIndex - 1) / 2);\\n // get the items inside the parent\\n // and the last index \\n var lastItem = arr[lastIndex];\\n var parentItem = arr[parentIndex];\\n\\n if (type === 'maxHeap') {\\n // checks to see if the lastItem is greater\\n // than the parentItem if so then do a swap\\n if (lastItem > parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n else if (type === 'minHeap') {\\n // checks to see if the lastItem is less\\n // than the parentItem if so then do a swap\\n if (lastItem < parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n\\n }\\n }\",\n \"insert_num(num) {\\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\\n this.maxHeap.insert(num);\\n } else {\\n this.minHeap.insert(num);\\n }\\n\\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\\n this.minHeap.insert(this.maxHeap.extractMax());\\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\\n this.maxHeap.insert(this.minHeap.remove());\\n }\\n }\",\n \"maxValue() {\\n let currNode = this.top;\\n let maxValue = this.top.value;\\n \\n while (currNode.next) {\\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\\n currNode = currNode.next;\\n }\\n \\n return maxValue;\\n }\",\n \"extractMax() {\\n let extracted = this.values[0]\\n let end = this.values.pop()\\n if (this.values.length > 0) {\\n this.values[0] = end\\n this.sinkDown()\\n }\\n return extracted\\n }\",\n \"extractMin() {\\n if (this.size <= 0) return;\\n if (this.size === 1) {\\n this.size--;\\n return this.data[0];\\n }\\n let root = this.data[0];\\n this.data[0] = this.data[this.size - 1];\\n this.size--;\\n this.MinHeapify(0);\\n return root;\\n }\",\n \"function heapDeleteRoot()\\n{\\n\\tif (!this.isEmpty()) { \\n\\t\\t// save root key and item pair\\n\\t\\tvar root = [ this.h[1], this.h_item[1] ]; \\n }\\n\\telse { //if heap is empty\\n\\t\\treturn \\\"The heap is empty\\\";\\n\\t}\\n\\t// ... complete\\n\\tthis.h_item[1] = this.h_item[this.size];\\n\\n this.h[1] = this.h[this.size];\\n this.heapify(1);\\n\\t\\n //decrease the heap size by 1 since we delete from it\\n this.size = this.size-1;\\n\\n\\treturn root;\\n}\",\n \"function largestNum(arr, k) {\\n\\tif (!arr && !arr.length && !k) return false;\\n\\n\\tlet shunk = arr.slice(0, k); //first shunk\\n\\tlet heap = [];\\n\\tshunk.forEach(n => insertHeap(heap, n));\\n\\n\\tfor (let i = k; i < arr.length; i++) {\\n\\t\\tif (arr[i] >= heap[0]) {\\n\\t\\t\\tupdateHeap(heap, arr[i]);\\n\\t\\t}\\n\\t}\\n\\n\\treturn heap;\\n}\",\n \"function heapify (heap) {\\n // Get the parent idx of the last node\\n var start = iparent(heap.arr.length - 1)\\n while (start >= 0) {\\n siftDown(start, heap)\\n start -= 1\\n }\\n return heap\\n}\",\n \"function heapify(arr,comp){\\r\\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\\r\\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\\r\\n // Restore the heap property for i\\r\\n siftDown(arr, comp, i);\\r\\n }\\r\\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\\r\\n}\",\n \"function max(arr){\\n \\n if(arr.length==2) //BASE CASE\\n return arr[0]>arr[1]?arr[0]:arr[1]\\n else //\\n {\\n arr[1]=arr[0]>arr[1]?arr[0]:arr[1]\\n return max(arr.splice(1,arr.length-1))\\n }\\n \\n}\",\n \"pop() {\\n //delete the current top values within the stack\\n delete this.items[this.top];\\n //deduct 1 from the top to show the new top index\\n this.top = this.top -1;\\n }\",\n \"function heapify(A, idx, max) {\\n var largest = idx,\\n left = 2 * idx + 1,\\n right = 2 * idx + 2;\\n\\n if (left < max && A[left] > A[idx]) {\\n largest = left;\\n }\\n if (right < max && A[right] > A[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n swap(A, idx, largest);\\n heapify(A, largest, max);\\n }\\n}\",\n \"remove(item) {\\n // Find number of items to remove.\\n const numberOfItemsToRemove = this.find(item).length;\\n\\n for (let iteration = 0; iteration < numberOfItemsToRemove; iteration += 1) {\\n // We need to find item index to remove each time after removal since\\n // indices are being changed after each heapify process.\\n const indexToRemove = this.find(item).pop();\\n\\n // If we need to remove last child in the heap then just remove it.\\n // There is no need to heapify the heap afterwards.\\n if (indexToRemove === this.heapContainer.length - 1) {\\n this.heapContainer.pop();\\n } else {\\n // Move last element in heap to the vacant (removed) position.\\n this.heapContainer[indexToRemove] = this.heapContainer.pop();\\n\\n // Get parent.\\n const parentItem = this.parent(indexToRemove);\\n\\n // If there is no parent or parent is in correct order with the node\\n // we're going to delete then heapify down. Otherwise heapify up.\\n if (\\n this.hasLeftChild(indexToRemove) &&\\n (!parentItem || parentItem <= this.heapContainer[indexToRemove])\\n ) {\\n this.heapifyDown(indexToRemove);\\n } else {\\n this.heapifyUp(indexToRemove);\\n }\\n }\\n }\\n\\n return this;\\n }\",\n \"function heapify(array, size, i) {\\n let max = i // initialize max as root\\n let left = 2 * i + 1\\n let right = 2 * i + 2\\n \\n // if left child is larger than root\\n if (left < size && array[left] > array[max])\\n max = left\\n \\n // if right child is larger than max\\n if (right < size && array[right] > array[max])\\n max = right\\n \\n // if max is not root\\n if (max != i) {\\n // swap\\n let temp = array[i]\\n array[i] = array[max]\\n array[max] = temp\\n \\n // recursively heapify the affected sub-tree\\n heapify(array, size, max)\\n }\\n }\",\n \"function heapSort(arr,comp){\\r\\n // Turn arr into a heap\\r\\n heapify(arr,comp);\\r\\n for(let i = arr.length-1; i > 0; i--){\\r\\n // The 0th element of a heap is the largest so move it to the top.\\r\\n [arr[0],arr[i]] = [arr[i],arr[0]];\\r\\n // The 0th element is no longer the largest; restore the heap property\\r\\n siftDown(arr,comp,0);\\r\\n }\\r\\n}\",\n \"async function heapify(arr,length,i){\\n chosen.style.color=\\\"black\\\";\\n chosen.innerHTML=`Turning the remaining array into max heap...`;\\n let largest=i;\\n let left=i*2+1;\\n let right=left+1;\\n let rightBar=document.querySelector(`.bar${right}`);\\n let leftBar=document.querySelector(`.bar${left}`);\\n let iBar=document.querySelector(`.bar${i}`);\\n await sleep(speed);\\n iBar.style.backgroundColor=\\\"#3500d3\\\";//selected\\n if (left<length)\\n leftBar.style.backgroundColor=\\\"#f64c72\\\";//checking\\n if (right<length)\\n rightBar.style.backgroundColor=\\\"#f64c72\\\";//checking\\n if (left<length && arr[left]>arr[largest])\\n largest=left;\\n if (right<length && arr[right]>arr[largest])\\n largest=right;\\n if(largest!=i){\\n let largestBar=document.querySelector(`.bar${largest}`);\\n iBar=document.querySelector(`.bar${i}`);\\n [arr[largest],arr[i]]=[arr[i],arr[largest]];\\n [largestBar.style.height,iBar.style.height]=[iBar.style.height,largestBar.style.height];\\n [largestBar.innerHTML,iBar.innerHTML]=[iBar.innerHTML,largestBar.innerHTML];\\n await sleep(speed);\\n iBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n leftBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n rightBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n\\n await heapify(arr,length,largest);\\n }\\n iBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n if (left<length)\\n leftBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n if (right<length)\\n rightBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n}\",\n \"function pqdownheap(tree, k) {\\n\\t\\tvar v = heap[k],\\n\\t\\t\\tj = k << 1; // left son of k\\n\\n\\t\\twhile (j <= heap_len) {\\n\\t\\t\\t// Set j to the smallest of the two sons:\\n\\t\\t\\tif (j < heap_len && SMALLER(tree, heap[j + 1], heap[j])) {\\n\\t\\t\\t\\tj++;\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Exit if v is smaller than both sons\\n\\t\\t\\tif (SMALLER(tree, v, heap[j])) {\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Exchange v with the smallest son\\n\\t\\t\\theap[k] = heap[j];\\n\\t\\t\\tk = j;\\n\\n\\t\\t\\t// And continue down the tree, setting j to the left son of k\\n\\t\\t\\tj <<= 1;\\n\\t\\t}\\n\\t\\theap[k] = v;\\n\\t}\",\n \"dequeue() {\\n // set a variable equal to the object keys array\\n var keys = Object.keys(this.storage);\\n // set a variable equal to the lowest key value\\n var lowest = this.storage[keys[0]];\\n // delete the lowest key value\\n delete this.storage[keys[0]];\\n // return the lowest key value variable\\n return lowest;\\n }\",\n \"function fix_extrema(slot) {\\n if (slot.maximum !== undefined) {\\n slot.max = slot.maximum;\\n delete slot.maximum;\\n }\\n if (slot.minimum !== undefined) {\\n slot.min = slot.minimum;\\n delete slot.minimum;\\n }\\n }\",\n \"delete(value) {\\n if (this.head.back === this.head && this.head.value === value) {\\n this.head = null;\\n } else {\\n let temp = this.head;\\n\\n while (temp.value !== value) {\\n if (temp.forward.value <= temp.value) {\\n return false;\\n }\\n temp = temp.forward;\\n }\\n\\n temp.back.forward = temp.forward;\\n temp.forward.back = temp.back;\\n\\n if (temp === this.head) {\\n this.head = temp.forward;\\n }\\n\\n delete this.temp;\\n }\\n this.size--;\\n return true;\\n }\",\n \"function heapSort(array) {\\n \\n let heap = new MaxHeap();\\n array.forEach(num => heap.insert(num)); // 1) build heap O(N) Amortized Time\\n\\n let sorted = [];\\n while (heap.array.length > 1) { // 2) continously delete max and push deleted to sorted arr until heap empty\\n sorted.push(heap.deleteMax()); // deletion takes log(N)\\n }\\n \\n return sorted;\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8018191","0.76265055","0.7623531","0.7504439","0.74354666","0.72889215","0.7252715","0.71510285","0.71128887","0.7089084","0.69999665","0.6982427","0.6941861","0.68232596","0.6717149","0.67013896","0.6697178","0.66557425","0.6639741","0.6616899","0.661175","0.6586071","0.6577476","0.6492891","0.64878803","0.64686894","0.646686","0.6457381","0.6451232","0.6433157","0.6375306","0.63699615","0.63528305","0.63376117","0.6305921","0.6298585","0.62723464","0.62680835","0.6253694","0.62215304","0.6220224","0.61919993","0.61917007","0.61917007","0.61871445","0.61800975","0.6152281","0.6149615","0.6130561","0.6130561","0.6130561","0.6130561","0.6130561","0.61152905","0.6109665","0.6109665","0.6097604","0.60918033","0.6090393","0.60841537","0.6064383","0.6062775","0.6045966","0.60422564","0.60352784","0.6028912","0.60182506","0.60182506","0.5999158","0.5994425","0.59915185","0.5990655","0.5978548","0.59773666","0.59666604","0.59636337","0.59586674","0.59402734","0.59397125","0.5930308","0.5927479","0.5910384","0.59097075","0.5909302","0.5908946","0.5901126","0.58958316","0.58862203","0.5878188","0.5875819","0.5869142","0.5856786","0.5849426","0.5832323","0.5810083","0.57974553","0.5795215","0.5793628","0.5789887","0.57879096"],"string":"[\n \"0.8018191\",\n \"0.76265055\",\n \"0.7623531\",\n \"0.7504439\",\n \"0.74354666\",\n \"0.72889215\",\n \"0.7252715\",\n \"0.71510285\",\n \"0.71128887\",\n \"0.7089084\",\n \"0.69999665\",\n \"0.6982427\",\n \"0.6941861\",\n \"0.68232596\",\n \"0.6717149\",\n \"0.67013896\",\n \"0.6697178\",\n \"0.66557425\",\n \"0.6639741\",\n \"0.6616899\",\n \"0.661175\",\n \"0.6586071\",\n \"0.6577476\",\n \"0.6492891\",\n \"0.64878803\",\n \"0.64686894\",\n \"0.646686\",\n \"0.6457381\",\n \"0.6451232\",\n \"0.6433157\",\n \"0.6375306\",\n \"0.63699615\",\n \"0.63528305\",\n \"0.63376117\",\n \"0.6305921\",\n \"0.6298585\",\n \"0.62723464\",\n \"0.62680835\",\n \"0.6253694\",\n \"0.62215304\",\n \"0.6220224\",\n \"0.61919993\",\n \"0.61917007\",\n \"0.61917007\",\n \"0.61871445\",\n \"0.61800975\",\n \"0.6152281\",\n \"0.6149615\",\n \"0.6130561\",\n \"0.6130561\",\n \"0.6130561\",\n \"0.6130561\",\n \"0.6130561\",\n \"0.61152905\",\n \"0.6109665\",\n \"0.6109665\",\n \"0.6097604\",\n \"0.60918033\",\n \"0.6090393\",\n \"0.60841537\",\n \"0.6064383\",\n \"0.6062775\",\n \"0.6045966\",\n \"0.60422564\",\n \"0.60352784\",\n \"0.6028912\",\n \"0.60182506\",\n \"0.60182506\",\n \"0.5999158\",\n \"0.5994425\",\n \"0.59915185\",\n \"0.5990655\",\n \"0.5978548\",\n \"0.59773666\",\n \"0.59666604\",\n \"0.59636337\",\n \"0.59586674\",\n \"0.59402734\",\n \"0.59397125\",\n \"0.5930308\",\n \"0.5927479\",\n \"0.5910384\",\n \"0.59097075\",\n \"0.5909302\",\n \"0.5908946\",\n \"0.5901126\",\n \"0.58958316\",\n \"0.58862203\",\n \"0.5878188\",\n \"0.5875819\",\n \"0.5869142\",\n \"0.5856786\",\n \"0.5849426\",\n \"0.5832323\",\n \"0.5810083\",\n \"0.57974553\",\n \"0.5795215\",\n \"0.5793628\",\n \"0.5789887\",\n \"0.57879096\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.88509464"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":174,"cells":{"query":{"kind":"string","value":"stores the max value and then removes it from the heap"},"document":{"kind":"string","value":"extractMax() {\r\n\t\tconst max = this.heap[0];\r\n\t\tthis.remove(max);\r\n\t\treturn max;\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.length === 2) return this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\n\n let max = this.array[1];\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// save reference to root value (max)\n\n this.array[1] = this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t // remove last val in array (farthest right node in tree), and update root value with it\n\n this.siftDown(1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\n\n return max;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// return max value\n }","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","extractMax() {\n\t\tconst max = this.heap[0];\n\t\tconst tmp = this.heap.pop();\n\t\tif (!this.empty()) {\n\t\t\tthis.heap[0] = tmp;\n\t\t\tthis.sinkDown(0);\n\t\t}\n\t\treturn max;\n\t}","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}","function maxHeap(val, parentVal) {\n return val > parentVal;\n}","function maxHeapify(arr){\n\n}","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","remove() {\n // Swap root value with last element in the heap\n // Pop the last element from heap array\n // Perform siftDown to correct position of swapped value\n // Return popped value\n this.swap(0, this.heap.length - 1, this.heap);\n const valueToRemove = this.heap.pop();\n this.siftDown(0, this.heap.length - 1, this.heap);\n \n return valueToRemove;\n }","removeMin() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","function nMax(){\n var arr=[-3,3,5,7];\n var max= arr[0];\n for(var i = 0; i< arr.length; i++){\n if(arr[i]>max){\n max=arr[i];\n arr.splice(max);\n }\n }\n for(var i=0; i<arr.length;i++){\n if(arr[i]>max){\n max=arr[i];\n \n }\n }\n console.log(max);\n return max;\n }","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","findMax() {\r\n\t\treturn this.heap[0];\r\n\t}","buildMaxHeap() {}","maxToBack(){\n var runner = this.head;\n var max = this.head\n var prevnode = this.head\n var maxprev = null\n while (runner != null) {\n if (runner.val > max.val) {\n max = runner;\n maxprev = prevnode\n }\n prevnode = runner\n runner = runner.next\n }\n prevnode.next = max\n maxprev.next = max.next\n max.next = null;\n }","extractMax(){\r\n if(this.values.length === 1) return this.values.pop();\r\n const oldRoot = this.values[0];\r\n this.values[0] = this.values[this.values.length-1];\r\n this.values.pop();\r\n let idx = 0;\r\n let child1 = (2*idx) + 1;\r\n let child2 = (2*idx) + 2;\r\n\r\n while(this.values[idx] < this.values[child1] || \r\n this.values[idx] < this.values[child2]){\r\n child1 = (2*idx) + 1;\r\n child2 = (2*idx) + 2;\r\n if(this.values[child1] >= this.values[child2]){\r\n let temp = this.values[child1];\r\n this.values[child1] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child1;\r\n } else {\r\n let temp = this.values[child2];\r\n this.values[child2] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child2;\r\n }\r\n }\r\n return oldRoot;\r\n }","extractMax() {\n let values = this.values;\n if (values.length === 0) return;\n let max = values[0];\n // For time complexity reasons, I swap first then remove the old root node\n values[0] = values[values.length - 1];\n values.pop();\n console.log(values);\n // instatiate child nodes\n let child1, child2, indexToSwap;\n let currentIndex = 0;\n while (true) {\n child1 = currentIndex * 2 + 1;\n child2 = currentIndex * 2 + 2;\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\n break;\n }\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\n if (!values[indexToSwap]) break;\n let oldNode = values[currentIndex];\n values[currentIndex] = values[indexToSwap];\n values[indexToSwap] = oldNode;\n currentIndex = indexToSwap;\n }\n this.values = values;\n return max;\n }","extractMax(){\n const max = this.values.shift();\n let current = this.values.pop();\n if(this.values.length > 0){\n this.values.unshift(current);\n this.sinkDown();\n }\n return max;\n }","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","extractMax() {\n if (this.values.length===1) {\n return this.values.pop()\n }\n let max = this.values[0]\n let tail = this.values.pop()\n this.values[0] = tail\n let index = 0\n let element = this.values[index]\n // repeat until neither child is greater than the element\n while(true) {\n let swapped = null\n let leftIndex = 2 * index + 1\n let rightIndex = 2 * index + 2\n if (leftIndex < this.values.length) {\n if(this.values[leftIndex] > element) {\n swapped = leftIndex\n }\n }\n if (rightIndex < this.values.length) {\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\n swapped = rightIndex\n }\n }\n if (swapped===null) break\n this.values[index] = this.values[swapped]\n this.values[swapped] = element\n index = swapped\n }\n return max\n }","delMin() {\n /*\n * Save reference to the min key.\n * Swap the min key with the last key in the heap.\n * Decrement n so that the key does not swim back up the heap.\n * Sink down the heap to fix any violations that have arisen.\n * Delete the min key to prevent loitering, and return its reference.\n */\n let min = this.heap[1];\n\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\n this.n--;\n this.sink(1);\n this.heap[this.n+1] = null;\n\n return min;\n }","maxHeap(index) {\n var left = this.left(index);\n var right = this.right(index);\n var largest = index;\n if (left < this.heapSize && this.array[left] > this.array[index]) {\n largest = left;\n }\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\n largest = right;\n }\n if (largest != index) {\n this.swap(this.array, index, largest);\n this.maxHeap(largest);\n }\n }","function deleteMax(h) { \n if (isRed(h.left))\n h = rotateRight(h);\n\n if (h.right == null || h.right == undefined)\n return null;\n\n if (!isRed(h.right) && !isRed(h.right.left))\n h = moveRedRight(h);\n\n h.right = deleteMax(h.right);\n\n return balance(h);\n }","function MaxPriorityQueue(array){\r\n MaxHeap.call(this, array)\r\n}","static maxHeapify(a, i) {\n let left = Heap.left(i);\n let right = Heap.right(i);\n\n // Find largest node between current, left and right\n let largest;\n if (left < a.heap_size && a[left] > a[i])\n largest = left;\n else\n largest = i;\n\n if (right < a.heap_size && a[right] > a[largest])\n largest = right;\n\n // Move current element to 'largest' position, and\n // continue until the element is positioned correctly\n if (largest != i) {\n let temp = a[i];\n a[i] = a[largest];\n a[largest] = temp;\n\n Heap.maxHeapify(a, largest);\n }\n }","function maxHeapify(arr, length, parent) {\n var largest = parent;\n var leftChild = 2 * parent + 1;\n var rightChild = 2 * parent + 2;\n\n if (leftChild < length && arr[leftChild] > arr[largest]) {\n largest = leftChild;\n }\n\n if (rightChild < length && arr[rightChild] > arr[largest]) {\n largest = rightChild;\n }\n\n if (largest != parent) {\n var temp = arr[largest];\n arr[largest] = arr[parent];\n arr[parent] = temp;\n\n maxHeapify(arr, length, largest);\n }\n}","heapDown(index) {\n const [leftIndex, rightIndex] = this.children(index);\n \n if (!leftIndex && !rightIndex) return;\n\n let min;\n rightIndex ? min = rightIndex : min = leftIndex;\n if ((leftIndex && rightIndex) &&\n this.store[leftIndex].key < this.store[rightIndex].key) {\n min = leftIndex;\n }\n\n if (this.store[index].key > this.store[min].key) {\n this.swap(index, min);\n this.heapDown(min);\n }\n }","remove(key) {\n this.storage.set(getIndexBelowMax(key), undefined);\n }","insert_num(num) {\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\n this.maxHeap.insert(num);\n } else {\n this.minHeap.insert(num);\n }\n\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\n this.minHeap.insert(this.maxHeap.extractMax());\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\n this.maxHeap.insert(this.minHeap.remove());\n }\n }","function MaxHeap(array){\r\n Heap.call(this, array);\r\n \r\n // Build-max-heap method: produces a max-heap from an unordered input array\r\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\r\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\r\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\r\n this.floatDownElementOfIndex(i)\r\n }\r\n}","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.minHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","remove() {\n if (this.isEmpty()) return;\n this.swap(0, this.store.length - 1);\n const { value } = this.store.pop();\n if (!this.isEmpty()) this.heapDown(0);\n return value;\n }","function buildMaxHeap() {\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\n maxHeapify(i, array.length);\n }\n}","maxToBack(){\n // your code here\n var runner = this.head\n var max = runner\n while (runner.next != null){\n if (runner.next.value > max.value){\n max = runner.next\n }\n runner = runner.next\n }\n var temp = runner.value\n runner.value = max.value\n max.value = temp\n return this\n }","extractMax() {\n const max = this.values[0];\n const end = this.values.pop();\n this.values[0] = end;\n this.sinkDown();\n return max;\n }","function maxHeapify(idx, hSize) {\n let largest;\n const left = (2 * idx) + 1;\n const right = (2 * idx) + 2;\n if (left < hSize && array[left] > array[idx]) {\n largest = left;\n } else {\n largest = idx;\n }\n if (right < hSize && array[right] > array[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n const temp = array[idx];\n array[idx] = array[largest];\n array[largest] = temp;\n maxHeapify(largest, hSize);\n }\n}","Dequeue() {\r\n if (this.heap.length == 0) return;\r\n const highestPriority = this.heap[0];\r\n const leastPriority = this.heap[this.heap.length - 1];\r\n //swap first and last priority\r\n this.heap[this.heap.length - 1] = highestPriority;\r\n this.heap[0] = leastPriority;\r\n this.heap.pop();\r\n let nodeIndex = 0; //sink down\r\n while (true) {\r\n const left = this.heap[2 * nodeIndex + 1];\r\n const right = this.heap[2 * nodeIndex + 2];\r\n const leastElement = this.heap[nodeIndex];\r\n if (\r\n right &&\r\n right.priority < left.priority &&\r\n right.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 2] = leastElement;\r\n this.heap[nodeIndex] = right;\r\n nodeIndex = 2 * nodeIndex + 2;\r\n } else if (\r\n left &&\r\n left.priority < right.priority &&\r\n left.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 1] = leastElement;\r\n this.heap[nodeIndex] = left;\r\n nodeIndex = 2 * nodeIndex + 1;\r\n } else {\r\n break;\r\n }\r\n }\r\n\r\n return highestPriority;\r\n }","insert(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tif (size === 0) {\r\n\t\t\tthis.heap.push(data);\r\n\t\t} else {\r\n\t\t\tthis.heap.push(data);\r\n\r\n\t\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t\t}\r\n\t\t}\r\n\t}","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","dequeue (){\n // let removedRoot = this.values[0];\n //replace with last added value\n //TEACHERS SOLUTION\n const min = this.values[0];\n const end = this.values.pop();\n //EDGE CASE IF NOTHING LEFT IN\n if(this.values.length > 0){\n //LINE 97 CAUSES A FOREVER LOOP WITH THE LAST ELEMENT IF WE DON'T ADD THE CONDITIONAL, BECAUSE WE REASSIGN THE ROOT TO BE END (WHICH WAS THE ORIGINAL ROOT IF THERE'S ONLY ONE ELEMENT)\n this.values[0] = end;\n //START TRICKLE DOWN\n this.sinkDown();\n }\n \n \n return min;\n }","function heapSortV2(array) {\n\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\n heapify(array, array.length, i); // array length not really used for this part\n }\n\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \"delete\" max val until heap region is \"empty\"\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\n\n console.log(array);\n\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\n }\n\n return array;\n}","extractMax() {\n // swap the first value in the values property with the last value\n // pop from the values property, so you can return the value at the end.\n // 'sink down' to the correct spot\n const max = this.values[0];\n const end = this.values.pop();\n if (this.values.length > 0) {\n this.values[0] = end;\n // move it to the correct position\n this.bubbleDown();\n }\n return max;\n }","function heap_root(input, i) { \n var left = 2 * i + 1; \n var right = 2 * i + 2; \n var max = i; \n \n if (left < array_length && input[left] > input[max]) { \n max = left; \n } \n \n if (right < array_length && input[right] > input[max]) { \n max = right; \n } \n \n if (max != i) { \n swap(input, i, max); \n heap_root(input, max); \n } \n}","function MinHeap(){\n\tthis.maxIndex = -1;\n\tthis.arr = {};\n}","static buildMaxHeap(a) {\n a.heap_size = a.length;\n\n // Max-heapify the first n/2 elements as\n // they are tree nodes, and the remaining are\n // usually tree leaves\n let mid = parseInt(a.length / 2);\n for (let i = mid; i >= 0; i -= 1) {\n Heap.maxHeapify(a, i);\n }\n }","heapify() {\n\t\t// last index is one less than the size\n\t\tlet index = this.size() - 1;\n\n\t\t/*\n Property of ith element in binary heap - \n left child is at = (2*i)th position\n right child is at = (2*i+1)th position\n parent is at = floor(i/2)th position\n */\n\n\t\t// converting entire array into heap from behind to front\n\t\t// just like heapify function to create it MAX HEAP\n\t\twhile (index > 0) {\n\t\t\t// pull out element from the array and find parent element\n\t\t\tlet element = this.heap[index],\n\t\t\t\tparentIndex = Math.floor((index - 1) / 2),\n\t\t\t\tparent = this.heap[parentIndex];\n\n\t\t\t// if parent is greater or equal, its already a heap hence break\n\t\t\tif (parent[0] >= element[0]) break;\n\t\t\t// else swap the values as we're creating a max heap\n\t\t\tthis.heap[index] = parent;\n\t\t\tthis.heap[parentIndex] = element;\n\t\t\tindex = parentIndex;\n\t\t}\n\t}","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","insert(val) {\n this.array.push(val);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// push value to end of array (add node to farthest bottom left of tree)\n\n this.siftUp(this.array.length - 1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuously swap value toward front of array to maintain maxHeap property\n }","async function MaxHeapify( i, heapSize)\n{\n\n let hasLeft = (2 * i + 1 < heapSize) ? true : false;\n let hasRight = (2 * i + 2 < heapSize) ? true : false;\n let l, r;\n let largest = i;\n if (hasLeft)\n l = arr[2 * i + 1].offsetHeight;\n if (hasRight)\n r = arr[2 * i + 2].offsetHeight;\n if (hasLeft && arr[i].offsetHeight < l)\n {\n largest = 2 * i + 1;\n }\n if (hasRight && arr[largest].offsetHeight < r)\n {\n largest = 2 * i + 2;\n }\n if (largest != i)\n {\n arr[i].style.backgroundColor='white';\n arr[largest].style.backgroundColor='green';\n await timer(delay);\n await swap(i, largest);\n arr[i].style.backgroundColor='red';\n arr[largest].style.backgroundColor='red';\n await MaxHeapify(largest, heapSize);\n }\n}","function maxHeapify(arr , n , i)\n\t{\n\t\n\t\t// Find largest of node and its children\n\t\tif (i >= n) {\n\t\t\treturn;\n\t\t}\n\t\tvar l = i * 2 + 1;\n\t\tvar r = i * 2 + 2;\n\t\tvar max;\n\t\tif (l < n && arr[l] > arr[i]) {\n\t\t\tmax = l;\n\t\t} else\n\t\t\tmax = i;\n\t\tif (r < n && arr[r] > arr[max]) {\n\t\t\tmax = r;\n\t\t}\n\n\t\t// Put maximum value at root and\n\t\t// recur for the child with the\n\t\t// maximum value\n\t\tif (max != i) {\n\t\t\tvar temp = arr[max];\n\t\t\tarr[max] = arr[i];\n\t\t\tarr[i] = temp;\n\t\t\tmaxHeapify(arr, n, max);\n\t\t}\n\t}","extractMax() {\n const max = this.values[0]\n const end = this.values.pop()\n\n if (this.values.length > 0) {\n this.values[0] = end\n this._sinkDown()\n }\n\n return max\n }","heapify(/*index*/ i) {\n let l = this.left(i);\n let r = this.right(i);\n let biggest = i;\n if (l < this.heap_size && this.harr[i].element.compareByMulKeys(this.harr[l].element, this.compareValues) == -1)\n biggest = l;\n if (r < this.heap_size && this.harr[biggest].element.compareByMulKeys(this.harr[r].element, this.compareValues) == -1)\n biggest = r;\n if (biggest != i) {\n this.swap(this.harr, i, biggest);\n this.heapify(biggest);\n }\n }","heapifyDown(){\n let idx = 0,\n element = this.values[idx],\n swap,\n leftChildIdx,\n rightChildIdx,\n leftChild,\n rightChild;\n while (true){\n swap = null;\n leftChildIdx = (2 * idx) + 1;\n rightChildIdx = (2 * idx) + 2;\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\n swap = leftChildIdx\n }\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\n swap = rightChildIdx;\n }\n if (swap === null) break;\n this.values[idx] = this.values[swap];\n this.values[swap] = element;\n idx = swap; \n } \n }","function buildHeap(arr, type) {\n // gets the last index\n var lastIndex = arr.length - 1;\n // While the last index is greater than 0\n while (lastIndex > 0) {\n // get the parent index\n var parentIndex = Math.floor((lastIndex - 1) / 2);\n // get the items inside the parent\n // and the last index \n var lastItem = arr[lastIndex];\n var parentItem = arr[parentIndex];\n\n if (type === 'maxHeap') {\n // checks to see if the lastItem is greater\n // than the parentItem if so then do a swap\n if (lastItem > parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n else if (type === 'minHeap') {\n // checks to see if the lastItem is less\n // than the parentItem if so then do a swap\n if (lastItem < parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n\n }\n }","maxValue() {\n let currNode = this.top;\n let maxValue = this.top.value;\n \n while (currNode.next) {\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\n currNode = currNode.next;\n }\n \n return maxValue;\n }","function heapifyStandart(currentIndex, heapSize ,arr){\n\n var largestElement = currentIndex\n var leftIndex = 2 * currentIndex + 1\n var rightIndex = 2 * currentIndex + 2\n\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\n largestElement = leftIndex\n }\n \n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\n largestElement = rightIndex\n }\n\n if (largestElement != currentIndex){\n swapArrayElement(currentIndex, largestElement, arr)\n heapifyStandart(largestElement, heapSize, arr)\n }\n}","function maxHeapBuild(arr) {\n if (arr.length <= 1) return;\n createHeap(arr, arr.length);\n return arr;\n}","function heapify(A, idx, max) {\n var largest = idx,\n left = 2 * idx + 1,\n right = 2 * idx + 2;\n\n if (left < max && A[left] > A[idx]) {\n largest = left;\n }\n if (right < max && A[right] > A[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n swap(A, idx, largest);\n heapify(A, largest, max);\n }\n}","function heapify(array, size, i) {\n let max = i // initialize max as root\n let left = 2 * i + 1\n let right = 2 * i + 2\n \n // if left child is larger than root\n if (left < size && array[left] > array[max])\n max = left\n \n // if right child is larger than max\n if (right < size && array[right] > array[max])\n max = right\n \n // if max is not root\n if (max != i) {\n // swap\n let temp = array[i]\n array[i] = array[max]\n array[max] = temp\n \n // recursively heapify the affected sub-tree\n heapify(array, size, max)\n }\n }","pop(){\r\n if (this.top === -1){\r\n return undefined;\r\n }else{\r\n delete this.storage[this.top];\r\n this.top -= 1;\r\n }\r\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","function heapSort(array){\n // 1: Construction\n let heap = new MaxHeap()\n array.forEach(ele => {\n heap.insert(ele)\n });\n\n// 2: sortdown \n let sorted = []\n while (heap.array.length > 1){\n sorted.push(heap.deleteMax())\n }\n return sorted\n}","function heapDeleteRoot()\n{\n\tif (!this.isEmpty()) { \n\t\t// save root key and item pair\n\t\tvar root = [ this.h[1], this.h_item[1] ]; \n }\n\telse { //if heap is empty\n\t\treturn \"The heap is empty\";\n\t}\n\t// ... complete\n\tthis.h_item[1] = this.h_item[this.size];\n\n this.h[1] = this.h[this.size];\n this.heapify(1);\n\t\n //decrease the heap size by 1 since we delete from it\n this.size = this.size-1;\n\n\treturn root;\n}","dequeue() {\n const [next] = this.values;\n this.values[0] = this.values.pop();\n let childLeft, childRight;\n let curr = 0;\n while (true) {\n let childLeftIdx = 2 * curr + 1;\n let childRightIdx = childLeft + 1;\n let swap = null;\n if (childLeftIdx < this.values.length) {\n childLeft = this.values[childLeftIdx];\n if (childLeft.priority > this.values[curr].priority) {\n swap = childLeft;\n }\n\n if (childRightIdx < this.values.length) {\n childRight = this.values[childRight];\n if (\n (swap === null &&\n childRight.priority < this.values[curr].priority) ||\n (swap !== null && childRight < childLeft.priority)\n ) {\n swap = childRightIdx;\n }\n }\n\n if (swap === null) break;\n const temp = this.values[curr];\n this.values[curr] = this.values[swap];\n this.values[swap] = temp;\n curr = swap;\n }\n }\n }","dequeue(){\n const oldRoot = this.values[0];\n const lastNode = this.values.pop();\n \n if(this.values.length > 0){\n this.values[0] = lastNode;\n this.bubbleDown();\n }\n \n return oldRoot;\n }","function maxHeap(array, n, i) {\n let largest = i;\n let left = 2 * i + 1;\n let right = 2 * i + 2;\n if (left < n && array[left] > array[largest]) {\n largest = left;\n }\n\n // If right child is larger than largest so far\n if (right < n && array[right] > array[largest]) {\n largest = right;\n }\n\n // If largest is not root\n if (largest != i) {\n let swap = array[i];\n array[i] = array[largest];\n array[largest] = swap;\n\n // Recursively heapify the affected sub-tree\n maxHeap(array, n, largest);\n }\n}","function heapify(currentIndex, arr){\n\n if (isHavingChildrenLeft(currentIndex, arr)) {\n let parent = arr[currentIndex]\n\n if (isHavingChildrenRight(currentIndex, arr)){\n let maxChildren = Math.max(arr[currentIndex * 2 + 1], arr[currentIndex * 2 + 2])\n if (parent < maxChildren){\n let maxChilrenIndex = maxChildren == arr[currentIndex * 2 + 1] ? currentIndex * 2 + 1 : currentIndex * 2 + 2 \n swapArrayElement(currentIndex, maxChilrenIndex, arr)\n heapify(maxChilrenIndex, arr)\n }\n }else {\n if (parent < arr[currentIndex * 2 + 1]){\n swapArrayElement(currentIndex, currentIndex * 2 + 1, arr)\n heapify(currentIndex * 2 + 1, arr)\n }\n }\n }else {\n console.log(\"skipping index %d\", currentIndex)\n }\n}","insert(value) {\n // Insert value to the end of array\n // Perform siftUp to correct position of value in the heap tree\n this.heap.push(value);\n this.siftUp(this.heap.length - 1, this.heap);\n }","bubble_down (p) {\n // var max_index = max_by(\n // [p, this.right_child(p), this.left_child(p)], // indices\n // index => this.queue[index] || -1 // scoring function\n // )\n\n // var max_index = p\n // var left_child_index = this.left_child(p)\n // var right_child_index = this.right_child(p)\n // if (this.queue[left_child_index] > this.queue[max_index]) {\n // max_index = left_child_index\n // }\n // if (this.queue[right_child_index] > this.queue[max_index]) {\n // max_index = right_child_index\n // }\n //\n // if (max_index !== p) {\n // this.swap(p, max_index)\n // this.bubble_down(max_index)\n // }\n\n\n // // latest and greatest\n var length = this.queue.length;\n var element = this.queue[p]\n\n while(true) {\n var child1N = this.left_child(p)\n var child2N = this.right_child(p)\n\n var swap = null\n if(child1N < length) {\n var child1 = this.queue[child1N]\n\n if (child1 > element)\n swap = child1N\n }\n\n if (child2N < length) {\n var child2 = this.queue[child2N]\n if(child2 > (swap === null ? element : this.queue[child1N]))\n swap = child2N\n }\n\n if (swap == null) {\n break;\n }\n\n this.queue[p] = this.queue[swap]\n this.queue[swap] = element\n p = swap\n }\n }","function thirdLargestNode(tree) {\n tree.remove(tree._findMax().key);\n tree.remove(tree._findMax().key);\n return tree._findMax().key;\n}","pop() {\n //delete the current top values within the stack\n delete this.items[this.top];\n //deduct 1 from the top to show the new top index\n this.top = this.top -1;\n }","function setHighest() {\n highest = i;\n if (typeof (Storage) !== \"undefined\") {\n window.localStorage.setItem(\"maxScore\", highest);\n }\n maxElement.innerHTML = highest;\n}","dequeue() {\n // set a variable equal to the object keys array\n var keys = Object.keys(this.storage);\n // set a variable equal to the lowest key value\n var lowest = this.storage[keys[0]];\n // delete the lowest key value\n delete this.storage[keys[0]];\n // return the lowest key value variable\n return lowest;\n }","function MaxStack () {\n this.max;\n this.array = [];\n}","delete(value) {\n if (this.head.back === this.head && this.head.value === value) {\n this.head = null;\n } else {\n let temp = this.head;\n\n while (temp.value !== value) {\n if (temp.forward.value <= temp.value) {\n return false;\n }\n temp = temp.forward;\n }\n\n temp.back.forward = temp.forward;\n temp.forward.back = temp.back;\n\n if (temp === this.head) {\n this.head = temp.forward;\n }\n\n delete this.temp;\n }\n this.size--;\n return true;\n }","function heapify (heap) {\n // Get the parent idx of the last node\n var start = iparent(heap.arr.length - 1)\n while (start >= 0) {\n siftDown(start, heap)\n start -= 1\n }\n return heap\n}","poll() {\n const { queue } = this;\n // remove the top priority value at index 0\n const topPriority = queue[0];\n // new queue has bottom value at top & we shrink the size\n // of the queue as there is one less value\n queue[0] = queue.pop();\n let replacedValIndex = 0;\n let replacedVal = queue[replacedValIndex];\n let leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\n let leftChildNodeVal = queue[leftChildNodeIndex];\n let rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\n let rightChildNodeVal = queue[rightChildNodeIndex];\n while (\n (replacedVal > leftChildNodeVal) |\n (replacedVal > rightChildNodeVal)\n ) {\n if (rightChildNodeVal < leftChildNodeVal) {\n queue[replacedValIndex] = rightChildNodeVal;\n queue[rightChildNodeIndex] = replacedVal;\n replacedValIndex = rightChildNodeIndex;\n leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\n leftChildNodeVal = queue[leftChildNodeIndex];\n rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\n rightChildNodeVal = queue[rightChildNodeIndex];\n } else {\n queue[replacedValIndex] = leftChildNodeVal;\n queue[leftChildNodeIndex] = replacedVal;\n replacedValIndex = leftChildNodeIndex;\n leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\n leftChildNodeVal = queue[leftChildNodeIndex];\n rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\n rightChildNodeVal = queue[rightChildNodeIndex];\n }\n }\n console.log(\"Polled val:\", topPriority);\n }","maxHeapify(arr, n, i) {\r\n\t\tlet largest = i;\r\n\t\tlet leftIndex = 2 * i + 1;\r\n\t\tlet rightIndex = 2 * i + 2;\r\n\r\n\t\tif (leftIndex < n && arr[leftIndex] > arr[largest]) {\r\n\t\t\tlargest = leftIndex;\r\n\t\t}\r\n\t\tif (rightIndex < n && arr[rightIndex] > arr[largest]) {\r\n\t\t\tlargest = rightIndex;\r\n\t\t}\r\n\t\tif (largest != i) {\r\n\t\t\tlet temp = arr[i];\r\n\t\t\tarr[i] = arr[largest];\r\n\t\t\tarr[largest] = temp;\r\n\t\t\tthis.maxHeapify(arr, n, largest);\r\n\t\t}\r\n\t}","function MinHeap() {\n\n /**\n * Insert an item into the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} x\n */\n this.insert = function(x) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:)\n *\n * @return{number}\n */\n this.peek = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Remove and return the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.pop = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the size of the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.size = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Convert the heap data into a string\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{string}\n */\n MinHeap.prototype.toString = function() {\n // INSERT YOUR CODE HERE\n }\n\n /*\n * The following are some optional helper methods. These are not required\n * but may make your life easier\n */\n\n /**\n * Get the index of the parent node of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var parent = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the index of the left child of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var leftChild = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Swap the values at 2 indices in our heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @param{number} j\n */\n var swap = function(i, j) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble up the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleUp = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble down the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleDown = function(i) {\n // INSERT YOUR CODE HERE\n }\n}","function heapify(arr,comp){\r\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\r\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\r\n // Restore the heap property for i\r\n siftDown(arr, comp, i);\r\n }\r\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\r\n}","function max() {\n // set node to the root value\n var node = this.root;\n // loop until there is no more values to the right\n while( node.right != null ) {\n node = node.right; // move to the right value\n } // end while\n return node.data;\n} // end max","remove(element,comparator=this.compare){\r\n let totalOccurenceOfElement=this.find(element,comparator).length;\r\n for(let i=0;i<totalOccurenceOfElement;i++){\r\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\r\n let heapSize=this.heapContainer.length;\r\n // if the element is at last index simply remove it as we\r\n // don't need to haepify\r\n if(removeIndex===heapSize-1){\r\n this.heapContainer.pop();\r\n }\r\n else{\r\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \r\n this.heapContainer.pop();\r\n let parentElement=this.getParent(removeIndex);\r\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\r\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\r\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\r\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \r\n // down side\r\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\r\n this.heapifyDown(removeIndex);\r\n }\r\n else{\r\n this.heapifyUp(removeIndex);\r\n }\r\n }\r\n \r\n }\r\n return this;\r\n }","function checkHighest(value) {\n if (isHighest < value) {\n isHighest = value;\n }\n}","function heapSort(arr,comp){\r\n // Turn arr into a heap\r\n heapify(arr,comp);\r\n for(let i = arr.length-1; i > 0; i--){\r\n // The 0th element of a heap is the largest so move it to the top.\r\n [arr[0],arr[i]] = [arr[i],arr[0]];\r\n // The 0th element is no longer the largest; restore the heap property\r\n siftDown(arr,comp,0);\r\n }\r\n}","grow() {\n this.capacity *= 2;\n this.capacity = this.closestLargestPrime(this.capacity);\n for (let i = 0; i < this.table.length; i++) {\n let currentBucket = this.table[i];\n this.table[i] = [];\n if (currentBucket) {\n if (currentBucket.length > 0) {\n this.elements--;\n currentBucket.forEach(item => {\n this.add(item.key, item.value);\n });\n }\n }\n }\n }","function Heap(){\n this.heap = [];\n}","function minheap_extract(heap) \n{\n var PrintE;\n PrintE = heap[0];\n heap[0] = heap[heap.length - 1];\n\n var a,large;\n var temp = heap.pop();\n for (a=0;a<heap.length;a=large)\n {\n if (2*a+2>heap.length)\n {break;}\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\n {\n if (heap[a]>heap[2*a+2])\n {\n temp = heap [a];\n heap[a] = heap[2*a+2];\n heap[2*a+2] = temp; \n large = 2*a+2; \n }\n else\n {break;}\n }\n else\n {\n if (heap[a]>heap[2*a+1])\n {\n temp = heap [2*a+1];\n heap[2*a+1] = heap[a];\n heap[a] = temp; \n large = 2*a+1;\n }\n else\n {break;}\n }\n }\n return PrintE;\n}","async function heapify(arr,length,i){\n chosen.style.color=\"black\";\n chosen.innerHTML=`Turning the remaining array into max heap...`;\n let largest=i;\n let left=i*2+1;\n let right=left+1;\n let rightBar=document.querySelector(`.bar${right}`);\n let leftBar=document.querySelector(`.bar${left}`);\n let iBar=document.querySelector(`.bar${i}`);\n await sleep(speed);\n iBar.style.backgroundColor=\"#3500d3\";//selected\n if (left<length)\n leftBar.style.backgroundColor=\"#f64c72\";//checking\n if (right<length)\n rightBar.style.backgroundColor=\"#f64c72\";//checking\n if (left<length && arr[left]>arr[largest])\n largest=left;\n if (right<length && arr[right]>arr[largest])\n largest=right;\n if(largest!=i){\n let largestBar=document.querySelector(`.bar${largest}`);\n iBar=document.querySelector(`.bar${i}`);\n [arr[largest],arr[i]]=[arr[i],arr[largest]];\n [largestBar.style.height,iBar.style.height]=[iBar.style.height,largestBar.style.height];\n [largestBar.innerHTML,iBar.innerHTML]=[iBar.innerHTML,largestBar.innerHTML];\n await sleep(speed);\n iBar.style.backgroundColor=\"#17a2b8\";//original\n leftBar.style.backgroundColor=\"#17a2b8\";//original\n rightBar.style.backgroundColor=\"#17a2b8\";//original\n\n await heapify(arr,length,largest);\n }\n iBar.style.backgroundColor=\"#17a2b8\";//original\n if (left<length)\n leftBar.style.backgroundColor=\"#17a2b8\";//original\n if (right<length)\n rightBar.style.backgroundColor=\"#17a2b8\";//original\n}","remove(key) {\n\n // getIndexBelowMax(this.storage[key]);\n }","function heapDown(i) {\n var w = heapWeight(i)\n while(true) {\n var tw = w\n var left = 2*i + 1\n var right = 2*(i + 1)\n var next = i\n if(left < heapCount) {\n var lw = heapWeight(left)\n if(lw < tw) {\n next = left\n tw = lw\n }\n }\n if(right < heapCount) {\n var rw = heapWeight(right)\n if(rw < tw) {\n next = right\n }\n }\n if(next === i) {\n return i\n }\n heapSwap(i, next)\n i = next \n }\n }","get maximumValue() {\r\n return this.i.bk;\r\n }"],"string":"[\n \"removeMax() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"deleteMax() {\\n // recall that we have an empty position at the very front of the array, \\n // so an array length of 2 means there is only 1 item in the heap\\n\\n if (this.array.length === 1) return null;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if no nodes in tree, exit\\n\\n if (this.array.length === 2) return this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\\n\\n let max = this.array[1];\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// save reference to root value (max)\\n\\n this.array[1] = this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // remove last val in array (farthest right node in tree), and update root value with it\\n\\n this.siftDown(1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\\n\\n return max;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// return max value\\n }\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"extractMax() {\\n\\t\\tconst max = this.heap[0];\\n\\t\\tconst tmp = this.heap.pop();\\n\\t\\tif (!this.empty()) {\\n\\t\\t\\tthis.heap[0] = tmp;\\n\\t\\t\\tthis.sinkDown(0);\\n\\t\\t}\\n\\t\\treturn max;\\n\\t}\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\",\n \"function maxHeap(val, parentVal) {\\n return val > parentVal;\\n}\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"remove() {\\n // Swap root value with last element in the heap\\n // Pop the last element from heap array\\n // Perform siftDown to correct position of swapped value\\n // Return popped value\\n this.swap(0, this.heap.length - 1, this.heap);\\n const valueToRemove = this.heap.pop();\\n this.siftDown(0, this.heap.length - 1, this.heap);\\n \\n return valueToRemove;\\n }\",\n \"removeMin() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"function nMax(){\\n var arr=[-3,3,5,7];\\n var max= arr[0];\\n for(var i = 0; i< arr.length; i++){\\n if(arr[i]>max){\\n max=arr[i];\\n arr.splice(max);\\n }\\n }\\n for(var i=0; i<arr.length;i++){\\n if(arr[i]>max){\\n max=arr[i];\\n \\n }\\n }\\n console.log(max);\\n return max;\\n }\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"findMax() {\\r\\n\\t\\treturn this.heap[0];\\r\\n\\t}\",\n \"buildMaxHeap() {}\",\n \"maxToBack(){\\n var runner = this.head;\\n var max = this.head\\n var prevnode = this.head\\n var maxprev = null\\n while (runner != null) {\\n if (runner.val > max.val) {\\n max = runner;\\n maxprev = prevnode\\n }\\n prevnode = runner\\n runner = runner.next\\n }\\n prevnode.next = max\\n maxprev.next = max.next\\n max.next = null;\\n }\",\n \"extractMax(){\\r\\n if(this.values.length === 1) return this.values.pop();\\r\\n const oldRoot = this.values[0];\\r\\n this.values[0] = this.values[this.values.length-1];\\r\\n this.values.pop();\\r\\n let idx = 0;\\r\\n let child1 = (2*idx) + 1;\\r\\n let child2 = (2*idx) + 2;\\r\\n\\r\\n while(this.values[idx] < this.values[child1] || \\r\\n this.values[idx] < this.values[child2]){\\r\\n child1 = (2*idx) + 1;\\r\\n child2 = (2*idx) + 2;\\r\\n if(this.values[child1] >= this.values[child2]){\\r\\n let temp = this.values[child1];\\r\\n this.values[child1] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child1;\\r\\n } else {\\r\\n let temp = this.values[child2];\\r\\n this.values[child2] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child2;\\r\\n }\\r\\n }\\r\\n return oldRoot;\\r\\n }\",\n \"extractMax() {\\n let values = this.values;\\n if (values.length === 0) return;\\n let max = values[0];\\n // For time complexity reasons, I swap first then remove the old root node\\n values[0] = values[values.length - 1];\\n values.pop();\\n console.log(values);\\n // instatiate child nodes\\n let child1, child2, indexToSwap;\\n let currentIndex = 0;\\n while (true) {\\n child1 = currentIndex * 2 + 1;\\n child2 = currentIndex * 2 + 2;\\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\\n break;\\n }\\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\\n if (!values[indexToSwap]) break;\\n let oldNode = values[currentIndex];\\n values[currentIndex] = values[indexToSwap];\\n values[indexToSwap] = oldNode;\\n currentIndex = indexToSwap;\\n }\\n this.values = values;\\n return max;\\n }\",\n \"extractMax(){\\n const max = this.values.shift();\\n let current = this.values.pop();\\n if(this.values.length > 0){\\n this.values.unshift(current);\\n this.sinkDown();\\n }\\n return max;\\n }\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"extractMax() {\\n if (this.values.length===1) {\\n return this.values.pop()\\n }\\n let max = this.values[0]\\n let tail = this.values.pop()\\n this.values[0] = tail\\n let index = 0\\n let element = this.values[index]\\n // repeat until neither child is greater than the element\\n while(true) {\\n let swapped = null\\n let leftIndex = 2 * index + 1\\n let rightIndex = 2 * index + 2\\n if (leftIndex < this.values.length) {\\n if(this.values[leftIndex] > element) {\\n swapped = leftIndex\\n }\\n }\\n if (rightIndex < this.values.length) {\\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\\n swapped = rightIndex\\n }\\n }\\n if (swapped===null) break\\n this.values[index] = this.values[swapped]\\n this.values[swapped] = element\\n index = swapped\\n }\\n return max\\n }\",\n \"delMin() {\\n /*\\n * Save reference to the min key.\\n * Swap the min key with the last key in the heap.\\n * Decrement n so that the key does not swim back up the heap.\\n * Sink down the heap to fix any violations that have arisen.\\n * Delete the min key to prevent loitering, and return its reference.\\n */\\n let min = this.heap[1];\\n\\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\\n this.n--;\\n this.sink(1);\\n this.heap[this.n+1] = null;\\n\\n return min;\\n }\",\n \"maxHeap(index) {\\n var left = this.left(index);\\n var right = this.right(index);\\n var largest = index;\\n if (left < this.heapSize && this.array[left] > this.array[index]) {\\n largest = left;\\n }\\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\\n largest = right;\\n }\\n if (largest != index) {\\n this.swap(this.array, index, largest);\\n this.maxHeap(largest);\\n }\\n }\",\n \"function deleteMax(h) { \\n if (isRed(h.left))\\n h = rotateRight(h);\\n\\n if (h.right == null || h.right == undefined)\\n return null;\\n\\n if (!isRed(h.right) && !isRed(h.right.left))\\n h = moveRedRight(h);\\n\\n h.right = deleteMax(h.right);\\n\\n return balance(h);\\n }\",\n \"function MaxPriorityQueue(array){\\r\\n MaxHeap.call(this, array)\\r\\n}\",\n \"static maxHeapify(a, i) {\\n let left = Heap.left(i);\\n let right = Heap.right(i);\\n\\n // Find largest node between current, left and right\\n let largest;\\n if (left < a.heap_size && a[left] > a[i])\\n largest = left;\\n else\\n largest = i;\\n\\n if (right < a.heap_size && a[right] > a[largest])\\n largest = right;\\n\\n // Move current element to 'largest' position, and\\n // continue until the element is positioned correctly\\n if (largest != i) {\\n let temp = a[i];\\n a[i] = a[largest];\\n a[largest] = temp;\\n\\n Heap.maxHeapify(a, largest);\\n }\\n }\",\n \"function maxHeapify(arr, length, parent) {\\n var largest = parent;\\n var leftChild = 2 * parent + 1;\\n var rightChild = 2 * parent + 2;\\n\\n if (leftChild < length && arr[leftChild] > arr[largest]) {\\n largest = leftChild;\\n }\\n\\n if (rightChild < length && arr[rightChild] > arr[largest]) {\\n largest = rightChild;\\n }\\n\\n if (largest != parent) {\\n var temp = arr[largest];\\n arr[largest] = arr[parent];\\n arr[parent] = temp;\\n\\n maxHeapify(arr, length, largest);\\n }\\n}\",\n \"heapDown(index) {\\n const [leftIndex, rightIndex] = this.children(index);\\n \\n if (!leftIndex && !rightIndex) return;\\n\\n let min;\\n rightIndex ? min = rightIndex : min = leftIndex;\\n if ((leftIndex && rightIndex) &&\\n this.store[leftIndex].key < this.store[rightIndex].key) {\\n min = leftIndex;\\n }\\n\\n if (this.store[index].key > this.store[min].key) {\\n this.swap(index, min);\\n this.heapDown(min);\\n }\\n }\",\n \"remove(key) {\\n this.storage.set(getIndexBelowMax(key), undefined);\\n }\",\n \"insert_num(num) {\\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\\n this.maxHeap.insert(num);\\n } else {\\n this.minHeap.insert(num);\\n }\\n\\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\\n this.minHeap.insert(this.maxHeap.extractMax());\\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\\n this.maxHeap.insert(this.minHeap.remove());\\n }\\n }\",\n \"function MaxHeap(array){\\r\\n Heap.call(this, array);\\r\\n \\r\\n // Build-max-heap method: produces a max-heap from an unordered input array\\r\\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\\r\\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\\r\\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\\r\\n this.floatDownElementOfIndex(i)\\r\\n }\\r\\n}\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.minHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"remove() {\\n if (this.isEmpty()) return;\\n this.swap(0, this.store.length - 1);\\n const { value } = this.store.pop();\\n if (!this.isEmpty()) this.heapDown(0);\\n return value;\\n }\",\n \"function buildMaxHeap() {\\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\\n maxHeapify(i, array.length);\\n }\\n}\",\n \"maxToBack(){\\n // your code here\\n var runner = this.head\\n var max = runner\\n while (runner.next != null){\\n if (runner.next.value > max.value){\\n max = runner.next\\n }\\n runner = runner.next\\n }\\n var temp = runner.value\\n runner.value = max.value\\n max.value = temp\\n return this\\n }\",\n \"extractMax() {\\n const max = this.values[0];\\n const end = this.values.pop();\\n this.values[0] = end;\\n this.sinkDown();\\n return max;\\n }\",\n \"function maxHeapify(idx, hSize) {\\n let largest;\\n const left = (2 * idx) + 1;\\n const right = (2 * idx) + 2;\\n if (left < hSize && array[left] > array[idx]) {\\n largest = left;\\n } else {\\n largest = idx;\\n }\\n if (right < hSize && array[right] > array[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n const temp = array[idx];\\n array[idx] = array[largest];\\n array[largest] = temp;\\n maxHeapify(largest, hSize);\\n }\\n}\",\n \"Dequeue() {\\r\\n if (this.heap.length == 0) return;\\r\\n const highestPriority = this.heap[0];\\r\\n const leastPriority = this.heap[this.heap.length - 1];\\r\\n //swap first and last priority\\r\\n this.heap[this.heap.length - 1] = highestPriority;\\r\\n this.heap[0] = leastPriority;\\r\\n this.heap.pop();\\r\\n let nodeIndex = 0; //sink down\\r\\n while (true) {\\r\\n const left = this.heap[2 * nodeIndex + 1];\\r\\n const right = this.heap[2 * nodeIndex + 2];\\r\\n const leastElement = this.heap[nodeIndex];\\r\\n if (\\r\\n right &&\\r\\n right.priority < left.priority &&\\r\\n right.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 2] = leastElement;\\r\\n this.heap[nodeIndex] = right;\\r\\n nodeIndex = 2 * nodeIndex + 2;\\r\\n } else if (\\r\\n left &&\\r\\n left.priority < right.priority &&\\r\\n left.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 1] = leastElement;\\r\\n this.heap[nodeIndex] = left;\\r\\n nodeIndex = 2 * nodeIndex + 1;\\r\\n } else {\\r\\n break;\\r\\n }\\r\\n }\\r\\n\\r\\n return highestPriority;\\r\\n }\",\n \"insert(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tif (size === 0) {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\r\\n\\t\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"dequeue (){\\n // let removedRoot = this.values[0];\\n //replace with last added value\\n //TEACHERS SOLUTION\\n const min = this.values[0];\\n const end = this.values.pop();\\n //EDGE CASE IF NOTHING LEFT IN\\n if(this.values.length > 0){\\n //LINE 97 CAUSES A FOREVER LOOP WITH THE LAST ELEMENT IF WE DON'T ADD THE CONDITIONAL, BECAUSE WE REASSIGN THE ROOT TO BE END (WHICH WAS THE ORIGINAL ROOT IF THERE'S ONLY ONE ELEMENT)\\n this.values[0] = end;\\n //START TRICKLE DOWN\\n this.sinkDown();\\n }\\n \\n \\n return min;\\n }\",\n \"function heapSortV2(array) {\\n\\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\\n heapify(array, array.length, i); // array length not really used for this part\\n }\\n\\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \\\"delete\\\" max val until heap region is \\\"empty\\\"\\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\\n\\n console.log(array);\\n\\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\\n }\\n\\n return array;\\n}\",\n \"extractMax() {\\n // swap the first value in the values property with the last value\\n // pop from the values property, so you can return the value at the end.\\n // 'sink down' to the correct spot\\n const max = this.values[0];\\n const end = this.values.pop();\\n if (this.values.length > 0) {\\n this.values[0] = end;\\n // move it to the correct position\\n this.bubbleDown();\\n }\\n return max;\\n }\",\n \"function heap_root(input, i) { \\n var left = 2 * i + 1; \\n var right = 2 * i + 2; \\n var max = i; \\n \\n if (left < array_length && input[left] > input[max]) { \\n max = left; \\n } \\n \\n if (right < array_length && input[right] > input[max]) { \\n max = right; \\n } \\n \\n if (max != i) { \\n swap(input, i, max); \\n heap_root(input, max); \\n } \\n}\",\n \"function MinHeap(){\\n\\tthis.maxIndex = -1;\\n\\tthis.arr = {};\\n}\",\n \"static buildMaxHeap(a) {\\n a.heap_size = a.length;\\n\\n // Max-heapify the first n/2 elements as\\n // they are tree nodes, and the remaining are\\n // usually tree leaves\\n let mid = parseInt(a.length / 2);\\n for (let i = mid; i >= 0; i -= 1) {\\n Heap.maxHeapify(a, i);\\n }\\n }\",\n \"heapify() {\\n\\t\\t// last index is one less than the size\\n\\t\\tlet index = this.size() - 1;\\n\\n\\t\\t/*\\n Property of ith element in binary heap - \\n left child is at = (2*i)th position\\n right child is at = (2*i+1)th position\\n parent is at = floor(i/2)th position\\n */\\n\\n\\t\\t// converting entire array into heap from behind to front\\n\\t\\t// just like heapify function to create it MAX HEAP\\n\\t\\twhile (index > 0) {\\n\\t\\t\\t// pull out element from the array and find parent element\\n\\t\\t\\tlet element = this.heap[index],\\n\\t\\t\\t\\tparentIndex = Math.floor((index - 1) / 2),\\n\\t\\t\\t\\tparent = this.heap[parentIndex];\\n\\n\\t\\t\\t// if parent is greater or equal, its already a heap hence break\\n\\t\\t\\tif (parent[0] >= element[0]) break;\\n\\t\\t\\t// else swap the values as we're creating a max heap\\n\\t\\t\\tthis.heap[index] = parent;\\n\\t\\t\\tthis.heap[parentIndex] = element;\\n\\t\\t\\tindex = parentIndex;\\n\\t\\t}\\n\\t}\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"insert(val) {\\n this.array.push(val);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// push value to end of array (add node to farthest bottom left of tree)\\n\\n this.siftUp(this.array.length - 1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuously swap value toward front of array to maintain maxHeap property\\n }\",\n \"async function MaxHeapify( i, heapSize)\\n{\\n\\n let hasLeft = (2 * i + 1 < heapSize) ? true : false;\\n let hasRight = (2 * i + 2 < heapSize) ? true : false;\\n let l, r;\\n let largest = i;\\n if (hasLeft)\\n l = arr[2 * i + 1].offsetHeight;\\n if (hasRight)\\n r = arr[2 * i + 2].offsetHeight;\\n if (hasLeft && arr[i].offsetHeight < l)\\n {\\n largest = 2 * i + 1;\\n }\\n if (hasRight && arr[largest].offsetHeight < r)\\n {\\n largest = 2 * i + 2;\\n }\\n if (largest != i)\\n {\\n arr[i].style.backgroundColor='white';\\n arr[largest].style.backgroundColor='green';\\n await timer(delay);\\n await swap(i, largest);\\n arr[i].style.backgroundColor='red';\\n arr[largest].style.backgroundColor='red';\\n await MaxHeapify(largest, heapSize);\\n }\\n}\",\n \"function maxHeapify(arr , n , i)\\n\\t{\\n\\t\\n\\t\\t// Find largest of node and its children\\n\\t\\tif (i >= n) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tvar l = i * 2 + 1;\\n\\t\\tvar r = i * 2 + 2;\\n\\t\\tvar max;\\n\\t\\tif (l < n && arr[l] > arr[i]) {\\n\\t\\t\\tmax = l;\\n\\t\\t} else\\n\\t\\t\\tmax = i;\\n\\t\\tif (r < n && arr[r] > arr[max]) {\\n\\t\\t\\tmax = r;\\n\\t\\t}\\n\\n\\t\\t// Put maximum value at root and\\n\\t\\t// recur for the child with the\\n\\t\\t// maximum value\\n\\t\\tif (max != i) {\\n\\t\\t\\tvar temp = arr[max];\\n\\t\\t\\tarr[max] = arr[i];\\n\\t\\t\\tarr[i] = temp;\\n\\t\\t\\tmaxHeapify(arr, n, max);\\n\\t\\t}\\n\\t}\",\n \"extractMax() {\\n const max = this.values[0]\\n const end = this.values.pop()\\n\\n if (this.values.length > 0) {\\n this.values[0] = end\\n this._sinkDown()\\n }\\n\\n return max\\n }\",\n \"heapify(/*index*/ i) {\\n let l = this.left(i);\\n let r = this.right(i);\\n let biggest = i;\\n if (l < this.heap_size && this.harr[i].element.compareByMulKeys(this.harr[l].element, this.compareValues) == -1)\\n biggest = l;\\n if (r < this.heap_size && this.harr[biggest].element.compareByMulKeys(this.harr[r].element, this.compareValues) == -1)\\n biggest = r;\\n if (biggest != i) {\\n this.swap(this.harr, i, biggest);\\n this.heapify(biggest);\\n }\\n }\",\n \"heapifyDown(){\\n let idx = 0,\\n element = this.values[idx],\\n swap,\\n leftChildIdx,\\n rightChildIdx,\\n leftChild,\\n rightChild;\\n while (true){\\n swap = null;\\n leftChildIdx = (2 * idx) + 1;\\n rightChildIdx = (2 * idx) + 2;\\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\\n swap = leftChildIdx\\n }\\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\\n swap = rightChildIdx;\\n }\\n if (swap === null) break;\\n this.values[idx] = this.values[swap];\\n this.values[swap] = element;\\n idx = swap; \\n } \\n }\",\n \"function buildHeap(arr, type) {\\n // gets the last index\\n var lastIndex = arr.length - 1;\\n // While the last index is greater than 0\\n while (lastIndex > 0) {\\n // get the parent index\\n var parentIndex = Math.floor((lastIndex - 1) / 2);\\n // get the items inside the parent\\n // and the last index \\n var lastItem = arr[lastIndex];\\n var parentItem = arr[parentIndex];\\n\\n if (type === 'maxHeap') {\\n // checks to see if the lastItem is greater\\n // than the parentItem if so then do a swap\\n if (lastItem > parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n else if (type === 'minHeap') {\\n // checks to see if the lastItem is less\\n // than the parentItem if so then do a swap\\n if (lastItem < parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n\\n }\\n }\",\n \"maxValue() {\\n let currNode = this.top;\\n let maxValue = this.top.value;\\n \\n while (currNode.next) {\\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\\n currNode = currNode.next;\\n }\\n \\n return maxValue;\\n }\",\n \"function heapifyStandart(currentIndex, heapSize ,arr){\\n\\n var largestElement = currentIndex\\n var leftIndex = 2 * currentIndex + 1\\n var rightIndex = 2 * currentIndex + 2\\n\\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\\n largestElement = leftIndex\\n }\\n \\n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\\n largestElement = rightIndex\\n }\\n\\n if (largestElement != currentIndex){\\n swapArrayElement(currentIndex, largestElement, arr)\\n heapifyStandart(largestElement, heapSize, arr)\\n }\\n}\",\n \"function maxHeapBuild(arr) {\\n if (arr.length <= 1) return;\\n createHeap(arr, arr.length);\\n return arr;\\n}\",\n \"function heapify(A, idx, max) {\\n var largest = idx,\\n left = 2 * idx + 1,\\n right = 2 * idx + 2;\\n\\n if (left < max && A[left] > A[idx]) {\\n largest = left;\\n }\\n if (right < max && A[right] > A[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n swap(A, idx, largest);\\n heapify(A, largest, max);\\n }\\n}\",\n \"function heapify(array, size, i) {\\n let max = i // initialize max as root\\n let left = 2 * i + 1\\n let right = 2 * i + 2\\n \\n // if left child is larger than root\\n if (left < size && array[left] > array[max])\\n max = left\\n \\n // if right child is larger than max\\n if (right < size && array[right] > array[max])\\n max = right\\n \\n // if max is not root\\n if (max != i) {\\n // swap\\n let temp = array[i]\\n array[i] = array[max]\\n array[max] = temp\\n \\n // recursively heapify the affected sub-tree\\n heapify(array, size, max)\\n }\\n }\",\n \"pop(){\\r\\n if (this.top === -1){\\r\\n return undefined;\\r\\n }else{\\r\\n delete this.storage[this.top];\\r\\n this.top -= 1;\\r\\n }\\r\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"function heapSort(array){\\n // 1: Construction\\n let heap = new MaxHeap()\\n array.forEach(ele => {\\n heap.insert(ele)\\n });\\n\\n// 2: sortdown \\n let sorted = []\\n while (heap.array.length > 1){\\n sorted.push(heap.deleteMax())\\n }\\n return sorted\\n}\",\n \"function heapDeleteRoot()\\n{\\n\\tif (!this.isEmpty()) { \\n\\t\\t// save root key and item pair\\n\\t\\tvar root = [ this.h[1], this.h_item[1] ]; \\n }\\n\\telse { //if heap is empty\\n\\t\\treturn \\\"The heap is empty\\\";\\n\\t}\\n\\t// ... complete\\n\\tthis.h_item[1] = this.h_item[this.size];\\n\\n this.h[1] = this.h[this.size];\\n this.heapify(1);\\n\\t\\n //decrease the heap size by 1 since we delete from it\\n this.size = this.size-1;\\n\\n\\treturn root;\\n}\",\n \"dequeue() {\\n const [next] = this.values;\\n this.values[0] = this.values.pop();\\n let childLeft, childRight;\\n let curr = 0;\\n while (true) {\\n let childLeftIdx = 2 * curr + 1;\\n let childRightIdx = childLeft + 1;\\n let swap = null;\\n if (childLeftIdx < this.values.length) {\\n childLeft = this.values[childLeftIdx];\\n if (childLeft.priority > this.values[curr].priority) {\\n swap = childLeft;\\n }\\n\\n if (childRightIdx < this.values.length) {\\n childRight = this.values[childRight];\\n if (\\n (swap === null &&\\n childRight.priority < this.values[curr].priority) ||\\n (swap !== null && childRight < childLeft.priority)\\n ) {\\n swap = childRightIdx;\\n }\\n }\\n\\n if (swap === null) break;\\n const temp = this.values[curr];\\n this.values[curr] = this.values[swap];\\n this.values[swap] = temp;\\n curr = swap;\\n }\\n }\\n }\",\n \"dequeue(){\\n const oldRoot = this.values[0];\\n const lastNode = this.values.pop();\\n \\n if(this.values.length > 0){\\n this.values[0] = lastNode;\\n this.bubbleDown();\\n }\\n \\n return oldRoot;\\n }\",\n \"function maxHeap(array, n, i) {\\n let largest = i;\\n let left = 2 * i + 1;\\n let right = 2 * i + 2;\\n if (left < n && array[left] > array[largest]) {\\n largest = left;\\n }\\n\\n // If right child is larger than largest so far\\n if (right < n && array[right] > array[largest]) {\\n largest = right;\\n }\\n\\n // If largest is not root\\n if (largest != i) {\\n let swap = array[i];\\n array[i] = array[largest];\\n array[largest] = swap;\\n\\n // Recursively heapify the affected sub-tree\\n maxHeap(array, n, largest);\\n }\\n}\",\n \"function heapify(currentIndex, arr){\\n\\n if (isHavingChildrenLeft(currentIndex, arr)) {\\n let parent = arr[currentIndex]\\n\\n if (isHavingChildrenRight(currentIndex, arr)){\\n let maxChildren = Math.max(arr[currentIndex * 2 + 1], arr[currentIndex * 2 + 2])\\n if (parent < maxChildren){\\n let maxChilrenIndex = maxChildren == arr[currentIndex * 2 + 1] ? currentIndex * 2 + 1 : currentIndex * 2 + 2 \\n swapArrayElement(currentIndex, maxChilrenIndex, arr)\\n heapify(maxChilrenIndex, arr)\\n }\\n }else {\\n if (parent < arr[currentIndex * 2 + 1]){\\n swapArrayElement(currentIndex, currentIndex * 2 + 1, arr)\\n heapify(currentIndex * 2 + 1, arr)\\n }\\n }\\n }else {\\n console.log(\\\"skipping index %d\\\", currentIndex)\\n }\\n}\",\n \"insert(value) {\\n // Insert value to the end of array\\n // Perform siftUp to correct position of value in the heap tree\\n this.heap.push(value);\\n this.siftUp(this.heap.length - 1, this.heap);\\n }\",\n \"bubble_down (p) {\\n // var max_index = max_by(\\n // [p, this.right_child(p), this.left_child(p)], // indices\\n // index => this.queue[index] || -1 // scoring function\\n // )\\n\\n // var max_index = p\\n // var left_child_index = this.left_child(p)\\n // var right_child_index = this.right_child(p)\\n // if (this.queue[left_child_index] > this.queue[max_index]) {\\n // max_index = left_child_index\\n // }\\n // if (this.queue[right_child_index] > this.queue[max_index]) {\\n // max_index = right_child_index\\n // }\\n //\\n // if (max_index !== p) {\\n // this.swap(p, max_index)\\n // this.bubble_down(max_index)\\n // }\\n\\n\\n // // latest and greatest\\n var length = this.queue.length;\\n var element = this.queue[p]\\n\\n while(true) {\\n var child1N = this.left_child(p)\\n var child2N = this.right_child(p)\\n\\n var swap = null\\n if(child1N < length) {\\n var child1 = this.queue[child1N]\\n\\n if (child1 > element)\\n swap = child1N\\n }\\n\\n if (child2N < length) {\\n var child2 = this.queue[child2N]\\n if(child2 > (swap === null ? element : this.queue[child1N]))\\n swap = child2N\\n }\\n\\n if (swap == null) {\\n break;\\n }\\n\\n this.queue[p] = this.queue[swap]\\n this.queue[swap] = element\\n p = swap\\n }\\n }\",\n \"function thirdLargestNode(tree) {\\n tree.remove(tree._findMax().key);\\n tree.remove(tree._findMax().key);\\n return tree._findMax().key;\\n}\",\n \"pop() {\\n //delete the current top values within the stack\\n delete this.items[this.top];\\n //deduct 1 from the top to show the new top index\\n this.top = this.top -1;\\n }\",\n \"function setHighest() {\\n highest = i;\\n if (typeof (Storage) !== \\\"undefined\\\") {\\n window.localStorage.setItem(\\\"maxScore\\\", highest);\\n }\\n maxElement.innerHTML = highest;\\n}\",\n \"dequeue() {\\n // set a variable equal to the object keys array\\n var keys = Object.keys(this.storage);\\n // set a variable equal to the lowest key value\\n var lowest = this.storage[keys[0]];\\n // delete the lowest key value\\n delete this.storage[keys[0]];\\n // return the lowest key value variable\\n return lowest;\\n }\",\n \"function MaxStack () {\\n this.max;\\n this.array = [];\\n}\",\n \"delete(value) {\\n if (this.head.back === this.head && this.head.value === value) {\\n this.head = null;\\n } else {\\n let temp = this.head;\\n\\n while (temp.value !== value) {\\n if (temp.forward.value <= temp.value) {\\n return false;\\n }\\n temp = temp.forward;\\n }\\n\\n temp.back.forward = temp.forward;\\n temp.forward.back = temp.back;\\n\\n if (temp === this.head) {\\n this.head = temp.forward;\\n }\\n\\n delete this.temp;\\n }\\n this.size--;\\n return true;\\n }\",\n \"function heapify (heap) {\\n // Get the parent idx of the last node\\n var start = iparent(heap.arr.length - 1)\\n while (start >= 0) {\\n siftDown(start, heap)\\n start -= 1\\n }\\n return heap\\n}\",\n \"poll() {\\n const { queue } = this;\\n // remove the top priority value at index 0\\n const topPriority = queue[0];\\n // new queue has bottom value at top & we shrink the size\\n // of the queue as there is one less value\\n queue[0] = queue.pop();\\n let replacedValIndex = 0;\\n let replacedVal = queue[replacedValIndex];\\n let leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\\n let leftChildNodeVal = queue[leftChildNodeIndex];\\n let rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\\n let rightChildNodeVal = queue[rightChildNodeIndex];\\n while (\\n (replacedVal > leftChildNodeVal) |\\n (replacedVal > rightChildNodeVal)\\n ) {\\n if (rightChildNodeVal < leftChildNodeVal) {\\n queue[replacedValIndex] = rightChildNodeVal;\\n queue[rightChildNodeIndex] = replacedVal;\\n replacedValIndex = rightChildNodeIndex;\\n leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\\n leftChildNodeVal = queue[leftChildNodeIndex];\\n rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\\n rightChildNodeVal = queue[rightChildNodeIndex];\\n } else {\\n queue[replacedValIndex] = leftChildNodeVal;\\n queue[leftChildNodeIndex] = replacedVal;\\n replacedValIndex = leftChildNodeIndex;\\n leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\\n leftChildNodeVal = queue[leftChildNodeIndex];\\n rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\\n rightChildNodeVal = queue[rightChildNodeIndex];\\n }\\n }\\n console.log(\\\"Polled val:\\\", topPriority);\\n }\",\n \"maxHeapify(arr, n, i) {\\r\\n\\t\\tlet largest = i;\\r\\n\\t\\tlet leftIndex = 2 * i + 1;\\r\\n\\t\\tlet rightIndex = 2 * i + 2;\\r\\n\\r\\n\\t\\tif (leftIndex < n && arr[leftIndex] > arr[largest]) {\\r\\n\\t\\t\\tlargest = leftIndex;\\r\\n\\t\\t}\\r\\n\\t\\tif (rightIndex < n && arr[rightIndex] > arr[largest]) {\\r\\n\\t\\t\\tlargest = rightIndex;\\r\\n\\t\\t}\\r\\n\\t\\tif (largest != i) {\\r\\n\\t\\t\\tlet temp = arr[i];\\r\\n\\t\\t\\tarr[i] = arr[largest];\\r\\n\\t\\t\\tarr[largest] = temp;\\r\\n\\t\\t\\tthis.maxHeapify(arr, n, largest);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function MinHeap() {\\n\\n /**\\n * Insert an item into the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} x\\n */\\n this.insert = function(x) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:)\\n *\\n * @return{number}\\n */\\n this.peek = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Remove and return the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.pop = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the size of the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.size = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Convert the heap data into a string\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{string}\\n */\\n MinHeap.prototype.toString = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /*\\n * The following are some optional helper methods. These are not required\\n * but may make your life easier\\n */\\n\\n /**\\n * Get the index of the parent node of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var parent = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the index of the left child of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var leftChild = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Swap the values at 2 indices in our heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @param{number} j\\n */\\n var swap = function(i, j) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble up the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleUp = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble down the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleDown = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n}\",\n \"function heapify(arr,comp){\\r\\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\\r\\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\\r\\n // Restore the heap property for i\\r\\n siftDown(arr, comp, i);\\r\\n }\\r\\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\\r\\n}\",\n \"function max() {\\n // set node to the root value\\n var node = this.root;\\n // loop until there is no more values to the right\\n while( node.right != null ) {\\n node = node.right; // move to the right value\\n } // end while\\n return node.data;\\n} // end max\",\n \"remove(element,comparator=this.compare){\\r\\n let totalOccurenceOfElement=this.find(element,comparator).length;\\r\\n for(let i=0;i<totalOccurenceOfElement;i++){\\r\\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\\r\\n let heapSize=this.heapContainer.length;\\r\\n // if the element is at last index simply remove it as we\\r\\n // don't need to haepify\\r\\n if(removeIndex===heapSize-1){\\r\\n this.heapContainer.pop();\\r\\n }\\r\\n else{\\r\\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \\r\\n this.heapContainer.pop();\\r\\n let parentElement=this.getParent(removeIndex);\\r\\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\\r\\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\\r\\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\\r\\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \\r\\n // down side\\r\\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\\r\\n this.heapifyDown(removeIndex);\\r\\n }\\r\\n else{\\r\\n this.heapifyUp(removeIndex);\\r\\n }\\r\\n }\\r\\n \\r\\n }\\r\\n return this;\\r\\n }\",\n \"function checkHighest(value) {\\n if (isHighest < value) {\\n isHighest = value;\\n }\\n}\",\n \"function heapSort(arr,comp){\\r\\n // Turn arr into a heap\\r\\n heapify(arr,comp);\\r\\n for(let i = arr.length-1; i > 0; i--){\\r\\n // The 0th element of a heap is the largest so move it to the top.\\r\\n [arr[0],arr[i]] = [arr[i],arr[0]];\\r\\n // The 0th element is no longer the largest; restore the heap property\\r\\n siftDown(arr,comp,0);\\r\\n }\\r\\n}\",\n \"grow() {\\n this.capacity *= 2;\\n this.capacity = this.closestLargestPrime(this.capacity);\\n for (let i = 0; i < this.table.length; i++) {\\n let currentBucket = this.table[i];\\n this.table[i] = [];\\n if (currentBucket) {\\n if (currentBucket.length > 0) {\\n this.elements--;\\n currentBucket.forEach(item => {\\n this.add(item.key, item.value);\\n });\\n }\\n }\\n }\\n }\",\n \"function Heap(){\\n this.heap = [];\\n}\",\n \"function minheap_extract(heap) \\n{\\n var PrintE;\\n PrintE = heap[0];\\n heap[0] = heap[heap.length - 1];\\n\\n var a,large;\\n var temp = heap.pop();\\n for (a=0;a<heap.length;a=large)\\n {\\n if (2*a+2>heap.length)\\n {break;}\\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\\n {\\n if (heap[a]>heap[2*a+2])\\n {\\n temp = heap [a];\\n heap[a] = heap[2*a+2];\\n heap[2*a+2] = temp; \\n large = 2*a+2; \\n }\\n else\\n {break;}\\n }\\n else\\n {\\n if (heap[a]>heap[2*a+1])\\n {\\n temp = heap [2*a+1];\\n heap[2*a+1] = heap[a];\\n heap[a] = temp; \\n large = 2*a+1;\\n }\\n else\\n {break;}\\n }\\n }\\n return PrintE;\\n}\",\n \"async function heapify(arr,length,i){\\n chosen.style.color=\\\"black\\\";\\n chosen.innerHTML=`Turning the remaining array into max heap...`;\\n let largest=i;\\n let left=i*2+1;\\n let right=left+1;\\n let rightBar=document.querySelector(`.bar${right}`);\\n let leftBar=document.querySelector(`.bar${left}`);\\n let iBar=document.querySelector(`.bar${i}`);\\n await sleep(speed);\\n iBar.style.backgroundColor=\\\"#3500d3\\\";//selected\\n if (left<length)\\n leftBar.style.backgroundColor=\\\"#f64c72\\\";//checking\\n if (right<length)\\n rightBar.style.backgroundColor=\\\"#f64c72\\\";//checking\\n if (left<length && arr[left]>arr[largest])\\n largest=left;\\n if (right<length && arr[right]>arr[largest])\\n largest=right;\\n if(largest!=i){\\n let largestBar=document.querySelector(`.bar${largest}`);\\n iBar=document.querySelector(`.bar${i}`);\\n [arr[largest],arr[i]]=[arr[i],arr[largest]];\\n [largestBar.style.height,iBar.style.height]=[iBar.style.height,largestBar.style.height];\\n [largestBar.innerHTML,iBar.innerHTML]=[iBar.innerHTML,largestBar.innerHTML];\\n await sleep(speed);\\n iBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n leftBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n rightBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n\\n await heapify(arr,length,largest);\\n }\\n iBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n if (left<length)\\n leftBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n if (right<length)\\n rightBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n}\",\n \"remove(key) {\\n\\n // getIndexBelowMax(this.storage[key]);\\n }\",\n \"function heapDown(i) {\\n var w = heapWeight(i)\\n while(true) {\\n var tw = w\\n var left = 2*i + 1\\n var right = 2*(i + 1)\\n var next = i\\n if(left < heapCount) {\\n var lw = heapWeight(left)\\n if(lw < tw) {\\n next = left\\n tw = lw\\n }\\n }\\n if(right < heapCount) {\\n var rw = heapWeight(right)\\n if(rw < tw) {\\n next = right\\n }\\n }\\n if(next === i) {\\n return i\\n }\\n heapSwap(i, next)\\n i = next \\n }\\n }\",\n \"get maximumValue() {\\r\\n return this.i.bk;\\r\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8409695","0.7879714","0.7587512","0.73521113","0.7306259","0.7145239","0.70757776","0.704312","0.7007635","0.6922104","0.69028175","0.6883229","0.6675872","0.66631365","0.6653203","0.6634924","0.6612459","0.6608291","0.6604799","0.6594207","0.65926903","0.65630907","0.6522862","0.6492589","0.64765686","0.64485496","0.64473987","0.6428361","0.64063966","0.637303","0.6356647","0.6354935","0.63470674","0.6343337","0.6314007","0.6290521","0.628272","0.627295","0.62637","0.6250769","0.62430024","0.6194882","0.6193073","0.618998","0.61825514","0.61568564","0.61397296","0.6121446","0.6119427","0.6119427","0.60943687","0.60943687","0.60943687","0.60943687","0.60943687","0.6092093","0.60565263","0.60512114","0.60456145","0.6041379","0.6041103","0.60286254","0.6025426","0.6020237","0.60086685","0.60055417","0.59939545","0.5983992","0.5961944","0.5961944","0.5956256","0.5953928","0.59450287","0.59280264","0.5911503","0.589061","0.5873521","0.5871659","0.5859939","0.5858916","0.584816","0.5844701","0.58362556","0.5815201","0.5810098","0.5809295","0.5803843","0.58015954","0.57942224","0.5792501","0.57889634","0.5775397","0.5761579","0.5755631","0.5750898","0.5749015","0.5741211","0.57360107","0.57195616","0.571735"],"string":"[\n \"0.8409695\",\n \"0.7879714\",\n \"0.7587512\",\n \"0.73521113\",\n \"0.7306259\",\n \"0.7145239\",\n \"0.70757776\",\n \"0.704312\",\n \"0.7007635\",\n \"0.6922104\",\n \"0.69028175\",\n \"0.6883229\",\n \"0.6675872\",\n \"0.66631365\",\n \"0.6653203\",\n \"0.6634924\",\n \"0.6612459\",\n \"0.6608291\",\n \"0.6604799\",\n \"0.6594207\",\n \"0.65926903\",\n \"0.65630907\",\n \"0.6522862\",\n \"0.6492589\",\n \"0.64765686\",\n \"0.64485496\",\n \"0.64473987\",\n \"0.6428361\",\n \"0.64063966\",\n \"0.637303\",\n \"0.6356647\",\n \"0.6354935\",\n \"0.63470674\",\n \"0.6343337\",\n \"0.6314007\",\n \"0.6290521\",\n \"0.628272\",\n \"0.627295\",\n \"0.62637\",\n \"0.6250769\",\n \"0.62430024\",\n \"0.6194882\",\n \"0.6193073\",\n \"0.618998\",\n \"0.61825514\",\n \"0.61568564\",\n \"0.61397296\",\n \"0.6121446\",\n \"0.6119427\",\n \"0.6119427\",\n \"0.60943687\",\n \"0.60943687\",\n \"0.60943687\",\n \"0.60943687\",\n \"0.60943687\",\n \"0.6092093\",\n \"0.60565263\",\n \"0.60512114\",\n \"0.60456145\",\n \"0.6041379\",\n \"0.6041103\",\n \"0.60286254\",\n \"0.6025426\",\n \"0.6020237\",\n \"0.60086685\",\n \"0.60055417\",\n \"0.59939545\",\n \"0.5983992\",\n \"0.5961944\",\n \"0.5961944\",\n \"0.5956256\",\n \"0.5953928\",\n \"0.59450287\",\n \"0.59280264\",\n \"0.5911503\",\n \"0.589061\",\n \"0.5873521\",\n \"0.5871659\",\n \"0.5859939\",\n \"0.5858916\",\n \"0.584816\",\n \"0.5844701\",\n \"0.58362556\",\n \"0.5815201\",\n \"0.5810098\",\n \"0.5809295\",\n \"0.5803843\",\n \"0.58015954\",\n \"0.57942224\",\n \"0.5792501\",\n \"0.57889634\",\n \"0.5775397\",\n \"0.5761579\",\n \"0.5755631\",\n \"0.5750898\",\n \"0.5749015\",\n \"0.5741211\",\n \"0.57360107\",\n \"0.57195616\",\n \"0.571735\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7318626"},"document_rank":{"kind":"string","value":"4"}}},{"rowIdx":175,"cells":{"query":{"kind":"string","value":"return the size of the heap"},"document":{"kind":"string","value":"size() {\r\n\t\treturn this.heap.length;\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["size() {\n\t\treturn this.heap.length;\n\t}","getHeap() {\r\n\t\treturn this.heap;\r\n\t}","getHeap() {\r\n\t\treturn this.heap;\r\n\t}","get size() {\n let size = 0;\n for (let i = 0; i < this.children.length; i++)\n size += this.children[i].size;\n return size;\n }","function size() {\r\n var counter = 0;\r\n for (var i = 0; i < this.PriorityQueueContents.length; i++) {\r\n counter += this.PriorityQueueContents[i].ids.length;\r\n }\r\n return counter;\r\n }","function size() {\n\t return n;\n\t }","function size() {\n return n;\n }","size() {\n return Math.abs(this.tail - this.head);\n }","function size() {\n return stack_size;\n }","function heapisEmpty() {\n return this.size == 0 ? true : false;\n}","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","size() {\n return this.rootNode.size(this.storage);\n }","buildMaxHeap() {}","function getSize(){\n return queue.length;\n }","function size(node) {\n return node.size ? node.size : 1;\n }","size() {\n return this.tail - this.head;\n }","function size(self) {\n return self.size();\n}","get size() {}","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","size() {\n return this.stack.length;\n }","childCount() {\n\t\tif (!this.state()) { return 0 }\n\n\t\tif (this[_size] === undefined) {\n\t\t\tthis[_size] = Object.keys(this.state()).length;\n\t\t}\n\n\t\treturn this[_size];\n\t}","function GetSize() : int\n\t{\n\t\tvar n = 0;\n\t\tfor( var i = 0; i < key2down.length; i++ )\n\t\t{\n\t\t\tif( key2down[i] )\n\t\t\t\tn++;\n\t\t}\n\t\treturn n;\n\t}","function maxHeapify(arr){\n\n}","constructor(){\n this.heap = [];\n this.count = 0;\n }","constructor(){\n this.heap = [];\n this.count = 0;\n }","function Heap()\n{\n\t// h[0] not used, heap initially empty\n\n\tthis.h = [null]; // heap of integer keys\n\tthis.h_item = [null]; // corresponding heap of data-items (any object)\n\tthis.size = 0; // 1 smaller than array (also index of last child)\n\n\n\t// --------------------\n\t// PQ-required only; more could be added later when needed\n\t// the 2 basic shape maintaining operations heapify and reheapify simplify\n\t// processing functions\n\n\tthis.isEmpty = heapisEmpty; // return true if heap empty\n\tthis.deleteRoot = heapDeleteRoot; // return data-item in root\n\tthis.insert = heapInsert; // insert data-item with key\n\n\tthis.heapify = heapheapify; // make subtree heap; top-down heapify (\"sink\") used by .deleteRoot()\n\tthis.reheapify = heapreheapify; // bottom-up reheapify (\"swim\") used by .insert()\n\tthis.show = heapShow; \t // utility: return pretty formatted heap as string\n\t \t // ... etc\n\n\t// --------------------\n}","function size(x) {\n if (x === null || x == undefined) return 0;\n return x.size;\n }","size() {\n let count = 0;\n let node = this.head; // Declare a node variable initialize to this.head\n // While the node exist\n while (node) {\n count++; // Increment count variable\n node = node.next; // reinitialize node to next node (if node.next is null the loop will break)\n }\n return count; // return count (which is the size)\n }","get size() {\n return this._queue.size;\n }","get size() {\n return this._queue.size;\n }","size(){\n return this.rear-this.front + 1;\n }","function heapShow()\n{\n\tvar n = this.size;\n\tvar m = Math.floor(n/2); // last parent node\n\n\tvar k = this.h.slice(1,n+1), a = this.h_item.slice(1,n+1);\n\n\tvar out=\"<h2>Heap (size=\"+ n+ \"):</h2><p>Keys: \" + k + \"<br>Data: \"+ a + \"</p>\";\n\tfor (var i=1; i<=m; i++)\n\t{\n\t\tout += \"<p>\"+ i+ \": <b>\"+ this.h[i]+ \"(\"+ this.h_item[i]+ \")</b><ul>\";\n\t\tif ( 2*i <= n )\n\t\t\tout += \"<li>\"+ this.h[2*i]+ \"</li>\";\n\t\tif ( 2*i+1 <= n )\n\t\t\tout+= \"<li>\"+ this.h[2*i+1]+ \"</li>\";\n\t\tout+= \"</ul></p>\";\n\t}\n\n\treturn out;\n}","size() {\n return this.queue.size();\n }","function heapUp(i) {\n\t var w = heapWeight(i)\n\t while(i > 0) {\n\t var parent = heapParent(i)\n\t if(parent >= 0) {\n\t var pw = heapWeight(parent)\n\t if(w < pw) {\n\t heapSwap(i, parent)\n\t i = parent\n\t continue\n\t }\n\t }\n\t return i\n\t }\n\t }","function heapUp(i) {\n\t var w = heapWeight(i)\n\t while(i > 0) {\n\t var parent = heapParent(i)\n\t if(parent >= 0) {\n\t var pw = heapWeight(parent)\n\t if(w < pw) {\n\t heapSwap(i, parent)\n\t i = parent\n\t continue\n\t }\n\t }\n\t return i\n\t }\n\t }","heapify() {\n\t\t// last index is one less than the size\n\t\tlet index = this.size() - 1;\n\n\t\t/*\n Property of ith element in binary heap - \n left child is at = (2*i)th position\n right child is at = (2*i+1)th position\n parent is at = floor(i/2)th position\n */\n\n\t\t// converting entire array into heap from behind to front\n\t\t// just like heapify function to create it MAX HEAP\n\t\twhile (index > 0) {\n\t\t\t// pull out element from the array and find parent element\n\t\t\tlet element = this.heap[index],\n\t\t\t\tparentIndex = Math.floor((index - 1) / 2),\n\t\t\t\tparent = this.heap[parentIndex];\n\n\t\t\t// if parent is greater or equal, its already a heap hence break\n\t\t\tif (parent[0] >= element[0]) break;\n\t\t\t// else swap the values as we're creating a max heap\n\t\t\tthis.heap[index] = parent;\n\t\t\tthis.heap[parentIndex] = element;\n\t\t\tindex = parentIndex;\n\t\t}\n\t}","function MinHeap() {\n\n /**\n * Insert an item into the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} x\n */\n this.insert = function(x) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:)\n *\n * @return{number}\n */\n this.peek = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Remove and return the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.pop = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the size of the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.size = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Convert the heap data into a string\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{string}\n */\n MinHeap.prototype.toString = function() {\n // INSERT YOUR CODE HERE\n }\n\n /*\n * The following are some optional helper methods. These are not required\n * but may make your life easier\n */\n\n /**\n * Get the index of the parent node of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var parent = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the index of the left child of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var leftChild = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Swap the values at 2 indices in our heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @param{number} j\n */\n var swap = function(i, j) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble up the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleUp = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble down the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleDown = function(i) {\n // INSERT YOUR CODE HERE\n }\n}","get nodeSize() {\n return this.isLeaf ? 1 : 2 + this.content.size;\n }","queueSize() {\n return this.queue.length\n }","size() {\n let _size = node => node === null ? 0 : 1 + _size(node.left) + _size(node.right)\n return _size(this.root)\n }","function heapDeleteRoot()\n{\n\tif (!this.isEmpty()) { \n\t\t// save root key and item pair\n\t\tvar root = [ this.h[1], this.h_item[1] ]; \n }\n\telse { //if heap is empty\n\t\treturn \"The heap is empty\";\n\t}\n\t// ... complete\n\tthis.h_item[1] = this.h_item[this.size];\n\n this.h[1] = this.h[this.size];\n this.heapify(1);\n\t\n //decrease the heap size by 1 since we delete from it\n this.size = this.size-1;\n\n\treturn root;\n}","size () {\n\t\tlet count = 0;\n\t\tlet node = this.head;\n\n\t\twhile (node) {\n\t\t\tcount++;\n\t\t\tnode = node.next;\n\t\t}\n\n\t\treturn count;\n\t}","size () {\n\t\tlet count = 0;\n\t\tlet node = this.head;\n\n\t\twhile (node) {\n\t\t\tcount++;\n\t\t\tnode = node.next;\n\t\t}\n\n\t\treturn count;\n\t}","size () {\n\t\tlet count = 0;\n\t\tlet node = this.head;\n\n\t\twhile (node) {\n\t\t\tcount++;\n\t\t\tnode = node.next;\n\t\t}\n\n\t\treturn count;\n\t}","size() {\n return this.root ? this.root.size() : 0;\n }","get size() {\n if (this._available && this._available.length > 0) {\n return this._available.length;\n }\n if (this._pending && this._pending.length > 0) {\n return -this._pending.length;\n }\n return 0;\n }","get size() {\n return this._queue.size;\n }","function maxHeap(val, parentVal) {\n return val > parentVal;\n}","size() {\n if (this.isEmpty()){\n return 0;\n }\n\n var size = 1;\n var runner = this.head;\n while (runner.next != null) {\n runner = runner.next;\n size ++;\n }\n return size;\n }","function MinHeap(){\n\tthis.maxIndex = -1;\n\tthis.arr = {};\n}","get size() {\n return this.#queue.length;\n }","function heapWeight(i) {\n\t return weights[heap[i]]\n\t }","function heapWeight(i) {\n\t return weights[heap[i]]\n\t }","size(arr){\n var count = 0;\n while(this.data !== []){\n count++;\n this.pop;\n }\n return count;\n }","function size() {\n\t return k;\n\t }","get freeSize() {\n\t\treturn this._free.length;\n\t}","function size() {\n return k;\n }","capacity() {\n return (this.arr.length);\n }","function Heap(){\n this.heap = [];\n}","function heapUp(i) {\n var w = heapWeight(i)\n while(i > 0) {\n var parent = heapParent(i)\n if(parent >= 0) {\n var pw = heapWeight(parent)\n if(w < pw) {\n heapSwap(i, parent)\n i = parent\n continue\n }\n }\n return i\n }\n }","size(){\n return this.queue.length;\n }","sizeOf() {\n return this.size;\n }","get size() {\n // Return the quad count if if was cached\n let size = this._size;\n if (size !== null) return size;\n\n // Calculate the number of quads by counting to the deepest level\n size = 0;\n const graphs = this._graphs;\n let subjects, subject;\n for (const graphKey in graphs) for (const subjectKey in subjects = graphs[graphKey].subjects) for (const predicateKey in subject = subjects[subjectKey]) size += Object.keys(subject[predicateKey]).length;\n return this._size = size;\n }","getSize() {\n return this._node.__execute(() => this.element.getElementSize());\n }","get size() {\n\t\treturn this._size;\n\t}","function heapify (heap) {\n // Get the parent idx of the last node\n var start = iparent(heap.arr.length - 1)\n while (start >= 0) {\n siftDown(start, heap)\n start -= 1\n }\n return heap\n}","get size() {\n // Return the quad count if if was cached\n var size = this._size;\n if (size !== null) return size; // Calculate the number of quads by counting to the deepest level\n\n size = 0;\n var graphs = this._graphs,\n subjects,\n subject;\n\n for (var graphKey in graphs) for (var subjectKey in subjects = graphs[graphKey].subjects) for (var predicateKey in subject = subjects[subjectKey]) size += Object.keys(subject[predicateKey]).length;\n\n return this._size = size;\n }","length() {\n const queueLen = this.queue.length;\n debug(`\\nLOG: There are total ${queueLen} data in the queue`);\n return queueLen;\n }","get size() {\n\t\treturn wm.get(this).size;\n\t}","get fullQueueLength()\n {\n return this.insert - this.end;\n }","deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.length === 2) return this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\n\n let max = this.array[1];\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// save reference to root value (max)\n\n this.array[1] = this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t // remove last val in array (farthest right node in tree), and update root value with it\n\n this.siftDown(1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\n\n return max;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// return max value\n }","size() {\n return this.sizeNum;\n }","insert(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tif (size === 0) {\r\n\t\t\tthis.heap.push(data);\r\n\t\t} else {\r\n\t\t\tthis.heap.push(data);\r\n\r\n\t\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t\t}\r\n\t\t}\r\n\t}","nodeSize(node) {\n let size = 1;\n if (!node.children) {\n return size;\n }\n let children = this.getChild(node.children);\n do {\n size++;\n children = children.children\n ? this.getChild(children.children)\n : undefined;\n } while (children);\n return size;\n }","get length(): number {\n // Provide a mechanism for a class to set length on push for O(1) lookup\n if (this.__length) {\n return this.__length;\n }\n\n return this._length(this.root);\n }","size() {\n return this.nodes.length;\n }","function heapWeight(i) {\n return weights[heap[i]]\n }","extractMax() {\n\t\tconst max = this.heap[0];\n\t\tconst tmp = this.heap.pop();\n\t\tif (!this.empty()) {\n\t\t\tthis.heap[0] = tmp;\n\t\t\tthis.sinkDown(0);\n\t\t}\n\t\treturn max;\n\t}","get length() {\n if (this.isDynamic) {\n return this.placeholderContext.resolve(this.allocation.size);\n }\n else {\n return this.allocation.size;\n }\n }","min() {\n if (this.heap.length == 0)\n throw Error(\"Heap is empty\");\n\n return this.heap[0];\n }","function size() {\n out = 1;\n for (var dim in dimensions) {\n out *= dimensions[dim].members.length;\n }\n return out;\n }","function BinaryHeap() {\n this.array = [];\n }","get size() {\n\t\treturn this._l;\n\t}","get size() {\n\t\treturn this._l;\n\t}","get size() {\n\t\treturn this._l;\n\t}","size() {\n return this._size;\n }","size() {\n let len = 0;\n let runner = this.head;\n\n while (runner) {\n len += 1;\n runner = runner.next;\n }\n return len;\n }","get totalSize() {\n return this.length + (this.current ? 1 : 0);\n }","size() {\n return this._size;\n }","size() {\n return this._size;\n }","size() {\n return this._size;\n }","size() {\n let current = this.head;\n let counter = 0;\n while (current) {\n counter++;\n current = current.next;\n }\n return counter;\n }","get length() {\n return stack.length;\n }","size() {\n let count = 0;\n let node = this.head;\n while (node) {\n count++;\n node = node.both.next;\n }\n return count;\n }","function heap(a, lo, hi) {\n\t var n = hi - lo,\n\t i = (n >>> 1) + 1;\n\t while (--i > 0) sift(a, i, n, lo);\n\t return a;\n\t }","function maxHeapBuild(arr) {\n if (arr.length <= 1) return;\n createHeap(arr, arr.length);\n return arr;\n}","size() {\n let output = 0;\n this.traverse((currentNode) => {\n output++;\n });\n return output;\n }","function PriorityQueue() {\n this.heap = [];\n this.size = 0;\n}"],"string":"[\n \"size() {\\n\\t\\treturn this.heap.length;\\n\\t}\",\n \"getHeap() {\\r\\n\\t\\treturn this.heap;\\r\\n\\t}\",\n \"getHeap() {\\r\\n\\t\\treturn this.heap;\\r\\n\\t}\",\n \"get size() {\\n let size = 0;\\n for (let i = 0; i < this.children.length; i++)\\n size += this.children[i].size;\\n return size;\\n }\",\n \"function size() {\\r\\n var counter = 0;\\r\\n for (var i = 0; i < this.PriorityQueueContents.length; i++) {\\r\\n counter += this.PriorityQueueContents[i].ids.length;\\r\\n }\\r\\n return counter;\\r\\n }\",\n \"function size() {\\n\\t return n;\\n\\t }\",\n \"function size() {\\n return n;\\n }\",\n \"size() {\\n return Math.abs(this.tail - this.head);\\n }\",\n \"function size() {\\n return stack_size;\\n }\",\n \"function heapisEmpty() {\\n return this.size == 0 ? true : false;\\n}\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"size() {\\n return this.rootNode.size(this.storage);\\n }\",\n \"buildMaxHeap() {}\",\n \"function getSize(){\\n return queue.length;\\n }\",\n \"function size(node) {\\n return node.size ? node.size : 1;\\n }\",\n \"size() {\\n return this.tail - this.head;\\n }\",\n \"function size(self) {\\n return self.size();\\n}\",\n \"get size() {}\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"size() {\\n return this.stack.length;\\n }\",\n \"childCount() {\\n\\t\\tif (!this.state()) { return 0 }\\n\\n\\t\\tif (this[_size] === undefined) {\\n\\t\\t\\tthis[_size] = Object.keys(this.state()).length;\\n\\t\\t}\\n\\n\\t\\treturn this[_size];\\n\\t}\",\n \"function GetSize() : int\\n\\t{\\n\\t\\tvar n = 0;\\n\\t\\tfor( var i = 0; i < key2down.length; i++ )\\n\\t\\t{\\n\\t\\t\\tif( key2down[i] )\\n\\t\\t\\t\\tn++;\\n\\t\\t}\\n\\t\\treturn n;\\n\\t}\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"constructor(){\\n this.heap = [];\\n this.count = 0;\\n }\",\n \"constructor(){\\n this.heap = [];\\n this.count = 0;\\n }\",\n \"function Heap()\\n{\\n\\t// h[0] not used, heap initially empty\\n\\n\\tthis.h = [null]; // heap of integer keys\\n\\tthis.h_item = [null]; // corresponding heap of data-items (any object)\\n\\tthis.size = 0; // 1 smaller than array (also index of last child)\\n\\n\\n\\t// --------------------\\n\\t// PQ-required only; more could be added later when needed\\n\\t// the 2 basic shape maintaining operations heapify and reheapify simplify\\n\\t// processing functions\\n\\n\\tthis.isEmpty = heapisEmpty; // return true if heap empty\\n\\tthis.deleteRoot = heapDeleteRoot; // return data-item in root\\n\\tthis.insert = heapInsert; // insert data-item with key\\n\\n\\tthis.heapify = heapheapify; // make subtree heap; top-down heapify (\\\"sink\\\") used by .deleteRoot()\\n\\tthis.reheapify = heapreheapify; // bottom-up reheapify (\\\"swim\\\") used by .insert()\\n\\tthis.show = heapShow; \\t // utility: return pretty formatted heap as string\\n\\t \\t // ... etc\\n\\n\\t// --------------------\\n}\",\n \"function size(x) {\\n if (x === null || x == undefined) return 0;\\n return x.size;\\n }\",\n \"size() {\\n let count = 0;\\n let node = this.head; // Declare a node variable initialize to this.head\\n // While the node exist\\n while (node) {\\n count++; // Increment count variable\\n node = node.next; // reinitialize node to next node (if node.next is null the loop will break)\\n }\\n return count; // return count (which is the size)\\n }\",\n \"get size() {\\n return this._queue.size;\\n }\",\n \"get size() {\\n return this._queue.size;\\n }\",\n \"size(){\\n return this.rear-this.front + 1;\\n }\",\n \"function heapShow()\\n{\\n\\tvar n = this.size;\\n\\tvar m = Math.floor(n/2); // last parent node\\n\\n\\tvar k = this.h.slice(1,n+1), a = this.h_item.slice(1,n+1);\\n\\n\\tvar out=\\\"<h2>Heap (size=\\\"+ n+ \\\"):</h2><p>Keys: \\\" + k + \\\"<br>Data: \\\"+ a + \\\"</p>\\\";\\n\\tfor (var i=1; i<=m; i++)\\n\\t{\\n\\t\\tout += \\\"<p>\\\"+ i+ \\\": <b>\\\"+ this.h[i]+ \\\"(\\\"+ this.h_item[i]+ \\\")</b><ul>\\\";\\n\\t\\tif ( 2*i <= n )\\n\\t\\t\\tout += \\\"<li>\\\"+ this.h[2*i]+ \\\"</li>\\\";\\n\\t\\tif ( 2*i+1 <= n )\\n\\t\\t\\tout+= \\\"<li>\\\"+ this.h[2*i+1]+ \\\"</li>\\\";\\n\\t\\tout+= \\\"</ul></p>\\\";\\n\\t}\\n\\n\\treturn out;\\n}\",\n \"size() {\\n return this.queue.size();\\n }\",\n \"function heapUp(i) {\\n\\t var w = heapWeight(i)\\n\\t while(i > 0) {\\n\\t var parent = heapParent(i)\\n\\t if(parent >= 0) {\\n\\t var pw = heapWeight(parent)\\n\\t if(w < pw) {\\n\\t heapSwap(i, parent)\\n\\t i = parent\\n\\t continue\\n\\t }\\n\\t }\\n\\t return i\\n\\t }\\n\\t }\",\n \"function heapUp(i) {\\n\\t var w = heapWeight(i)\\n\\t while(i > 0) {\\n\\t var parent = heapParent(i)\\n\\t if(parent >= 0) {\\n\\t var pw = heapWeight(parent)\\n\\t if(w < pw) {\\n\\t heapSwap(i, parent)\\n\\t i = parent\\n\\t continue\\n\\t }\\n\\t }\\n\\t return i\\n\\t }\\n\\t }\",\n \"heapify() {\\n\\t\\t// last index is one less than the size\\n\\t\\tlet index = this.size() - 1;\\n\\n\\t\\t/*\\n Property of ith element in binary heap - \\n left child is at = (2*i)th position\\n right child is at = (2*i+1)th position\\n parent is at = floor(i/2)th position\\n */\\n\\n\\t\\t// converting entire array into heap from behind to front\\n\\t\\t// just like heapify function to create it MAX HEAP\\n\\t\\twhile (index > 0) {\\n\\t\\t\\t// pull out element from the array and find parent element\\n\\t\\t\\tlet element = this.heap[index],\\n\\t\\t\\t\\tparentIndex = Math.floor((index - 1) / 2),\\n\\t\\t\\t\\tparent = this.heap[parentIndex];\\n\\n\\t\\t\\t// if parent is greater or equal, its already a heap hence break\\n\\t\\t\\tif (parent[0] >= element[0]) break;\\n\\t\\t\\t// else swap the values as we're creating a max heap\\n\\t\\t\\tthis.heap[index] = parent;\\n\\t\\t\\tthis.heap[parentIndex] = element;\\n\\t\\t\\tindex = parentIndex;\\n\\t\\t}\\n\\t}\",\n \"function MinHeap() {\\n\\n /**\\n * Insert an item into the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} x\\n */\\n this.insert = function(x) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:)\\n *\\n * @return{number}\\n */\\n this.peek = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Remove and return the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.pop = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the size of the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.size = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Convert the heap data into a string\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{string}\\n */\\n MinHeap.prototype.toString = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /*\\n * The following are some optional helper methods. These are not required\\n * but may make your life easier\\n */\\n\\n /**\\n * Get the index of the parent node of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var parent = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the index of the left child of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var leftChild = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Swap the values at 2 indices in our heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @param{number} j\\n */\\n var swap = function(i, j) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble up the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleUp = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble down the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleDown = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n}\",\n \"get nodeSize() {\\n return this.isLeaf ? 1 : 2 + this.content.size;\\n }\",\n \"queueSize() {\\n return this.queue.length\\n }\",\n \"size() {\\n let _size = node => node === null ? 0 : 1 + _size(node.left) + _size(node.right)\\n return _size(this.root)\\n }\",\n \"function heapDeleteRoot()\\n{\\n\\tif (!this.isEmpty()) { \\n\\t\\t// save root key and item pair\\n\\t\\tvar root = [ this.h[1], this.h_item[1] ]; \\n }\\n\\telse { //if heap is empty\\n\\t\\treturn \\\"The heap is empty\\\";\\n\\t}\\n\\t// ... complete\\n\\tthis.h_item[1] = this.h_item[this.size];\\n\\n this.h[1] = this.h[this.size];\\n this.heapify(1);\\n\\t\\n //decrease the heap size by 1 since we delete from it\\n this.size = this.size-1;\\n\\n\\treturn root;\\n}\",\n \"size () {\\n\\t\\tlet count = 0;\\n\\t\\tlet node = this.head;\\n\\n\\t\\twhile (node) {\\n\\t\\t\\tcount++;\\n\\t\\t\\tnode = node.next;\\n\\t\\t}\\n\\n\\t\\treturn count;\\n\\t}\",\n \"size () {\\n\\t\\tlet count = 0;\\n\\t\\tlet node = this.head;\\n\\n\\t\\twhile (node) {\\n\\t\\t\\tcount++;\\n\\t\\t\\tnode = node.next;\\n\\t\\t}\\n\\n\\t\\treturn count;\\n\\t}\",\n \"size () {\\n\\t\\tlet count = 0;\\n\\t\\tlet node = this.head;\\n\\n\\t\\twhile (node) {\\n\\t\\t\\tcount++;\\n\\t\\t\\tnode = node.next;\\n\\t\\t}\\n\\n\\t\\treturn count;\\n\\t}\",\n \"size() {\\n return this.root ? this.root.size() : 0;\\n }\",\n \"get size() {\\n if (this._available && this._available.length > 0) {\\n return this._available.length;\\n }\\n if (this._pending && this._pending.length > 0) {\\n return -this._pending.length;\\n }\\n return 0;\\n }\",\n \"get size() {\\n return this._queue.size;\\n }\",\n \"function maxHeap(val, parentVal) {\\n return val > parentVal;\\n}\",\n \"size() {\\n if (this.isEmpty()){\\n return 0;\\n }\\n\\n var size = 1;\\n var runner = this.head;\\n while (runner.next != null) {\\n runner = runner.next;\\n size ++;\\n }\\n return size;\\n }\",\n \"function MinHeap(){\\n\\tthis.maxIndex = -1;\\n\\tthis.arr = {};\\n}\",\n \"get size() {\\n return this.#queue.length;\\n }\",\n \"function heapWeight(i) {\\n\\t return weights[heap[i]]\\n\\t }\",\n \"function heapWeight(i) {\\n\\t return weights[heap[i]]\\n\\t }\",\n \"size(arr){\\n var count = 0;\\n while(this.data !== []){\\n count++;\\n this.pop;\\n }\\n return count;\\n }\",\n \"function size() {\\n\\t return k;\\n\\t }\",\n \"get freeSize() {\\n\\t\\treturn this._free.length;\\n\\t}\",\n \"function size() {\\n return k;\\n }\",\n \"capacity() {\\n return (this.arr.length);\\n }\",\n \"function Heap(){\\n this.heap = [];\\n}\",\n \"function heapUp(i) {\\n var w = heapWeight(i)\\n while(i > 0) {\\n var parent = heapParent(i)\\n if(parent >= 0) {\\n var pw = heapWeight(parent)\\n if(w < pw) {\\n heapSwap(i, parent)\\n i = parent\\n continue\\n }\\n }\\n return i\\n }\\n }\",\n \"size(){\\n return this.queue.length;\\n }\",\n \"sizeOf() {\\n return this.size;\\n }\",\n \"get size() {\\n // Return the quad count if if was cached\\n let size = this._size;\\n if (size !== null) return size;\\n\\n // Calculate the number of quads by counting to the deepest level\\n size = 0;\\n const graphs = this._graphs;\\n let subjects, subject;\\n for (const graphKey in graphs) for (const subjectKey in subjects = graphs[graphKey].subjects) for (const predicateKey in subject = subjects[subjectKey]) size += Object.keys(subject[predicateKey]).length;\\n return this._size = size;\\n }\",\n \"getSize() {\\n return this._node.__execute(() => this.element.getElementSize());\\n }\",\n \"get size() {\\n\\t\\treturn this._size;\\n\\t}\",\n \"function heapify (heap) {\\n // Get the parent idx of the last node\\n var start = iparent(heap.arr.length - 1)\\n while (start >= 0) {\\n siftDown(start, heap)\\n start -= 1\\n }\\n return heap\\n}\",\n \"get size() {\\n // Return the quad count if if was cached\\n var size = this._size;\\n if (size !== null) return size; // Calculate the number of quads by counting to the deepest level\\n\\n size = 0;\\n var graphs = this._graphs,\\n subjects,\\n subject;\\n\\n for (var graphKey in graphs) for (var subjectKey in subjects = graphs[graphKey].subjects) for (var predicateKey in subject = subjects[subjectKey]) size += Object.keys(subject[predicateKey]).length;\\n\\n return this._size = size;\\n }\",\n \"length() {\\n const queueLen = this.queue.length;\\n debug(`\\\\nLOG: There are total ${queueLen} data in the queue`);\\n return queueLen;\\n }\",\n \"get size() {\\n\\t\\treturn wm.get(this).size;\\n\\t}\",\n \"get fullQueueLength()\\n {\\n return this.insert - this.end;\\n }\",\n \"deleteMax() {\\n // recall that we have an empty position at the very front of the array, \\n // so an array length of 2 means there is only 1 item in the heap\\n\\n if (this.array.length === 1) return null;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if no nodes in tree, exit\\n\\n if (this.array.length === 2) return this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\\n\\n let max = this.array[1];\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// save reference to root value (max)\\n\\n this.array[1] = this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // remove last val in array (farthest right node in tree), and update root value with it\\n\\n this.siftDown(1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\\n\\n return max;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// return max value\\n }\",\n \"size() {\\n return this.sizeNum;\\n }\",\n \"insert(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tif (size === 0) {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\r\\n\\t\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"nodeSize(node) {\\n let size = 1;\\n if (!node.children) {\\n return size;\\n }\\n let children = this.getChild(node.children);\\n do {\\n size++;\\n children = children.children\\n ? this.getChild(children.children)\\n : undefined;\\n } while (children);\\n return size;\\n }\",\n \"get length(): number {\\n // Provide a mechanism for a class to set length on push for O(1) lookup\\n if (this.__length) {\\n return this.__length;\\n }\\n\\n return this._length(this.root);\\n }\",\n \"size() {\\n return this.nodes.length;\\n }\",\n \"function heapWeight(i) {\\n return weights[heap[i]]\\n }\",\n \"extractMax() {\\n\\t\\tconst max = this.heap[0];\\n\\t\\tconst tmp = this.heap.pop();\\n\\t\\tif (!this.empty()) {\\n\\t\\t\\tthis.heap[0] = tmp;\\n\\t\\t\\tthis.sinkDown(0);\\n\\t\\t}\\n\\t\\treturn max;\\n\\t}\",\n \"get length() {\\n if (this.isDynamic) {\\n return this.placeholderContext.resolve(this.allocation.size);\\n }\\n else {\\n return this.allocation.size;\\n }\\n }\",\n \"min() {\\n if (this.heap.length == 0)\\n throw Error(\\\"Heap is empty\\\");\\n\\n return this.heap[0];\\n }\",\n \"function size() {\\n out = 1;\\n for (var dim in dimensions) {\\n out *= dimensions[dim].members.length;\\n }\\n return out;\\n }\",\n \"function BinaryHeap() {\\n this.array = [];\\n }\",\n \"get size() {\\n\\t\\treturn this._l;\\n\\t}\",\n \"get size() {\\n\\t\\treturn this._l;\\n\\t}\",\n \"get size() {\\n\\t\\treturn this._l;\\n\\t}\",\n \"size() {\\n return this._size;\\n }\",\n \"size() {\\n let len = 0;\\n let runner = this.head;\\n\\n while (runner) {\\n len += 1;\\n runner = runner.next;\\n }\\n return len;\\n }\",\n \"get totalSize() {\\n return this.length + (this.current ? 1 : 0);\\n }\",\n \"size() {\\n return this._size;\\n }\",\n \"size() {\\n return this._size;\\n }\",\n \"size() {\\n return this._size;\\n }\",\n \"size() {\\n let current = this.head;\\n let counter = 0;\\n while (current) {\\n counter++;\\n current = current.next;\\n }\\n return counter;\\n }\",\n \"get length() {\\n return stack.length;\\n }\",\n \"size() {\\n let count = 0;\\n let node = this.head;\\n while (node) {\\n count++;\\n node = node.both.next;\\n }\\n return count;\\n }\",\n \"function heap(a, lo, hi) {\\n\\t var n = hi - lo,\\n\\t i = (n >>> 1) + 1;\\n\\t while (--i > 0) sift(a, i, n, lo);\\n\\t return a;\\n\\t }\",\n \"function maxHeapBuild(arr) {\\n if (arr.length <= 1) return;\\n createHeap(arr, arr.length);\\n return arr;\\n}\",\n \"size() {\\n let output = 0;\\n this.traverse((currentNode) => {\\n output++;\\n });\\n return output;\\n }\",\n \"function PriorityQueue() {\\n this.heap = [];\\n this.size = 0;\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.823258\",\n \"0.6719874\",\n \"0.6719874\",\n \"0.6594933\",\n \"0.65847397\",\n \"0.6490526\",\n \"0.6471409\",\n \"0.64260876\",\n \"0.641185\",\n \"0.63683355\",\n \"0.6361953\",\n \"0.6324604\",\n \"0.6305498\",\n \"0.6303767\",\n \"0.62501025\",\n \"0.6240314\",\n \"0.62244964\",\n \"0.61938465\",\n \"0.61566305\",\n \"0.6134111\",\n \"0.6093153\",\n \"0.60734415\",\n \"0.6067266\",\n \"0.6066432\",\n \"0.6050705\",\n \"0.6050705\",\n \"0.604303\",\n \"0.60254204\",\n \"0.60232586\",\n \"0.59972703\",\n \"0.59972703\",\n \"0.5981121\",\n \"0.5959604\",\n \"0.595235\",\n \"0.5948404\",\n \"0.5948404\",\n \"0.59296006\",\n \"0.5926554\",\n \"0.59027326\",\n \"0.5898624\",\n \"0.58927923\",\n \"0.58889014\",\n \"0.588418\",\n \"0.588418\",\n \"0.588418\",\n \"0.58779377\",\n \"0.5866566\",\n \"0.5858512\",\n \"0.5857538\",\n \"0.585365\",\n \"0.58501387\",\n \"0.5840497\",\n \"0.58372015\",\n \"0.58372015\",\n \"0.5833896\",\n \"0.5829794\",\n \"0.5825109\",\n \"0.5820175\",\n \"0.5804886\",\n \"0.58028895\",\n \"0.58006316\",\n \"0.58004695\",\n \"0.57935065\",\n \"0.579071\",\n \"0.57867754\",\n \"0.57855195\",\n \"0.5781648\",\n \"0.5778344\",\n \"0.57688856\",\n \"0.5763584\",\n \"0.57603854\",\n \"0.57528675\",\n \"0.575024\",\n \"0.5746196\",\n \"0.5743425\",\n \"0.5731539\",\n \"0.5725991\",\n \"0.5718873\",\n \"0.5714751\",\n \"0.5713493\",\n \"0.5707441\",\n \"0.57069886\",\n \"0.5706925\",\n \"0.57066727\",\n \"0.57066727\",\n \"0.57066727\",\n \"0.5698679\",\n \"0.5666101\",\n \"0.56563133\",\n \"0.5653778\",\n \"0.5653778\",\n \"0.5653778\",\n \"0.56482494\",\n \"0.56464577\",\n \"0.56451946\",\n \"0.5641045\",\n \"0.56361425\",\n \"0.56248343\",\n \"0.56153476\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.8242203"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":176,"cells":{"query":{"kind":"string","value":"check if the heap is empty"},"document":{"kind":"string","value":"isEmpty() {\r\n\t\treturn this.heap.length === 0;\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function heapisEmpty() {\n return this.size == 0 ? true : false;\n}","isEmpty() {\n return !this.heapContainer.length;\n }","function isEmpty() {\n return this.top === 0;\n}","heapHasIndex(index){\r\n if(index>=0 && index<this.heapContainer.length)\r\n return true;\r\n \r\n return false;\r\n }","checkEmpty () {\n if (this.front === 0 && this.rear === 0) {\n return true\n }\n }","function isEmpty(){\n return (queue.length === 0);\n }","isEmpty() {\n return this.top === null;\n }","isEmpty() {\n if (this.top === null){\n return true;\n } else {\n return false;\n }\n }","get empty() {\n if(this.children.length === 0) {\n return true\n } else {\n return false\n }\n }","queueIsFull() {\n return this.queue.length >= this.maxSize\n }","isEmpty() {\n if (this._storage.head === null) {\n return true;\n }\n return false;\n }","isEmpty() {\n return this.front == -1;\n }","isEmpty() {\n if (this.queue.length) {\n return false;\n }\n return true;\n }","function isEmptyQ(queue){\n queue.first === null;\n\n const currNode = queue.first;\n\n if(!currNode){\n // is empty!\n return true;\n } else {\n // not empty!\n return false;\n }\n}","empty(){\r\n return this.size == 0;\r\n }","isEmpty()\n {\n if(this.front===null)\n return true;\n else\n return false;\n }","isEmpty(){\n return (this.rear +1 === this.front);\n }","empty(){ return this.stack.length === 0; }","isEmpty() {\n return this.queue.size() === 0;\n }","isEmpty() {\n\t\treturn this.size === 0;\n\t}","isEmpty() {\n return _size == 0;\n }","isEmpty() {\n return this.items.length === 0; // return true if the queue is empty.\n }","isEmpty() {\n return this._size === 0;\n }","isEmpty () {\n return Boolean(this.queue.length === 0)\n }","isEmpty() {\n return this.head === -1;\n }","isFull() {\n return ((this.tail + 1) % this.size) === this.head;\n }","function boardHasEmptySpaces() {\n let $emptySpaces = emptyBoardSpaceElements();\n return $emptySpaces.length > 0;\n}","function isEmpty() {\n if (stack_top === -1) {\n return true;\n }\n return false;\n }","isEmpty() {\n console.log(this.size === 0);\n }","isEmpty() {\n return (this._size === 0);\n }","isEmpty() {\n return this.size === 0;\n }","isEmpty() {\n return this.size === 0;\n }","isEmpty() {\n return this.size === 0;\n }","isEmpty() {\n return this.size === 0;\n }","isEmpty() {\n return this.size === 0;\n }","isEmpty() {\r\n\t\treturn this.size == 0;\r\n\t}","size() {\r\n\t\treturn this.heap.length;\r\n\t}","size() {\r\n\t\treturn this.heap.length;\r\n\t}","size() {\n\t\treturn this.heap.length;\n\t}","isEmpty() {\r\n\t\treturn size() == 0;\r\n\t}","isEmpty() {\n if (this.Size > 0) {\n return true;\n }\n return false;\n }","isFull() {\n if (this.front == 0 && this.rear == this.size - 1 || (this.rear + 1 == this.front)) {\n return true;\n }\n return false;\n }","isEmpty() { \n return this.size == 0; \n }","isEmpty(){ return this.size == 0; }","isEmpty(){\n if(!this.head){\n console.log('Stack is empty');\n }\n }","isEmpty() \n { \n return this.size == 0; \n }","isEmpty() {\n return this.head === null;\n }","isEmpty() {\n return this.head === null;\n }","checkEmptyStack(numstack)\n {\n return (this.posting[numstack-1].length===0 || this.posting[numstack-1].length===null)\n }","function isEmpty(stack) {\n return !stack.top;\n}","function isEmpty(stack) {\n return !stack.top;\n}","function isEmpty(stack) {\n return stack.length == 0\n}","isEmpty() {\n return this.size == 0;\n }","function isStackEmpty(stack){\n return !(stack.length>0);\n }","function isStackEmpty()\r\n{\r\n\tif (this.intIndex == 0)\r\n\t\treturn true;\r\n\telse\r\n\t\treturn false;\r\n}","isEmpty() {\n try {\n const diff = this._head - this._length\n if(diff >= 0) {\n this._revertToOriginal()\n }\n return diff >= 0 ? true : false\n } catch(err) {\n throw new Error(err)\n }\n }","isEmpty() {\n return this.head == null;\n }","isEmpty() {\n\t\tif (this.head == null) {\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","isEmpty() {\n\t\tif (this.head == null) {\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","function _isStackEmpty()\n {\n if (this.intIndex == 0)\n return true;\n else\n return false;\n }","isEmpty(){\n return this.size==0;\n }","isEmpty(){\n let top = this.peek();\n return top == null || top == \"\";\n }","empty () { return this.length === 0 }","isEmpty() {\n if (this.head == null && this.tail == null){\n return true;\n }\n else {\n return false;\n }\n }","function isStackEmpty()\n{\n\tif (this.intIndex == 0)\n\t\treturn true;\n\telse\n\t\treturn false;\n}","get empty() {return !this._p.size;}","isEmpty(){\r\n return this.head === null;\r\n }","isFull() {\n return this.length() === this.capacity;\n }","isEmpty() {\n return this.storage.length === 0;\n }","isEmpty() {\n return !this.front;\n }","function isEmpty(stack) {\n return stack.length === 0;\n}","function isEmpty() {\n return N === 0;\n }","isEmpty() {\n return this.vertexCount === 0;\n }","isEmpty(){\n return (this.size === 0); \n }","get isEmpty() {\n return this.#queue.length === 0;\n }","isEmpty() {\n if (this.head) {\n return true;\n } else {\n return false;\n }\n }","isEmpty() {\n if (this.head) {\n return true;\n } else {\n return false;\n }\n }","get empty() {\n return this._head.next === this._tail;\n }","isEmpty() {\n return this.catQueue.isEmpty() && this.dogQueue.isEmpty();\n }","isEmpty() {\n return (this.elements > 0) ? false : true;\n }","isEmpty() {\n return (this.elements > 0) ? false : true;\n }","isEmpty() {\n if (this.#size == 0) {\n return true;\n } else {\n return false;\n }\n }","isEmpty(){\n if(this.head == null){\n return true;\n }\n else{\n return false;\n }\n }","isEmpty() {\n if (this.size == 0) {\n return true;\n }\n return false;\n }","isFull() {\n return (this.lastIndex === (this.capacity() - 1));\n }","isEmpty() {\n \n if (this.head == null){\n return true\n }\n else {\n return false\n }\n\n }","isEmpty() {\n return this.head ? false : true\n }","isEmpty() {\n if (this.head == this.tail) return true;\n return false;\n }","empty() {\n\t\tif (this.size() === 0) {\n\t\t\treturn true;\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t}","isEmpty() {\n if (this.stack1.length == 0 && this.stack2.length == 0 ) {\n console.log(\"The two stack queue is empty.\");\n return true, this;\n }\n else {\n console.log(\"The two stack queue is not empty.\");\n return false, this;\n }\n }","function isBoardFull(){\n let board = $box.map((index, currBox) => {\n let $currBox = $(currBox);\n return isEmpty($currBox);\n });\n return !board.get().includes(true);\n }","isFull() {\n return (this.tail + 1) % this.capacty == this.head\n }","isEmpty()\r\n {\r\n if(this.getSize() === 0){\r\n return true;\r\n } else {\r\n return false;\r\n }\r\n }","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","isFull(){\n if(this.maxSize){\n return this.size() === this.maxSize;\n }\n else{\n return false;\n }\n }","isEmpty () {\n return this.queued.length === 0 && this.active.length === 0\n }","isEmpty() {\n return 0 == this.q.length;\n }","empty() { return this.m == 0; }","isEmpty(){\n return this.count - this.lowestCount === 0;\n }"],"string":"[\n \"function heapisEmpty() {\\n return this.size == 0 ? true : false;\\n}\",\n \"isEmpty() {\\n return !this.heapContainer.length;\\n }\",\n \"function isEmpty() {\\n return this.top === 0;\\n}\",\n \"heapHasIndex(index){\\r\\n if(index>=0 && index<this.heapContainer.length)\\r\\n return true;\\r\\n \\r\\n return false;\\r\\n }\",\n \"checkEmpty () {\\n if (this.front === 0 && this.rear === 0) {\\n return true\\n }\\n }\",\n \"function isEmpty(){\\n return (queue.length === 0);\\n }\",\n \"isEmpty() {\\n return this.top === null;\\n }\",\n \"isEmpty() {\\n if (this.top === null){\\n return true;\\n } else {\\n return false;\\n }\\n }\",\n \"get empty() {\\n if(this.children.length === 0) {\\n return true\\n } else {\\n return false\\n }\\n }\",\n \"queueIsFull() {\\n return this.queue.length >= this.maxSize\\n }\",\n \"isEmpty() {\\n if (this._storage.head === null) {\\n return true;\\n }\\n return false;\\n }\",\n \"isEmpty() {\\n return this.front == -1;\\n }\",\n \"isEmpty() {\\n if (this.queue.length) {\\n return false;\\n }\\n return true;\\n }\",\n \"function isEmptyQ(queue){\\n queue.first === null;\\n\\n const currNode = queue.first;\\n\\n if(!currNode){\\n // is empty!\\n return true;\\n } else {\\n // not empty!\\n return false;\\n }\\n}\",\n \"empty(){\\r\\n return this.size == 0;\\r\\n }\",\n \"isEmpty()\\n {\\n if(this.front===null)\\n return true;\\n else\\n return false;\\n }\",\n \"isEmpty(){\\n return (this.rear +1 === this.front);\\n }\",\n \"empty(){ return this.stack.length === 0; }\",\n \"isEmpty() {\\n return this.queue.size() === 0;\\n }\",\n \"isEmpty() {\\n\\t\\treturn this.size === 0;\\n\\t}\",\n \"isEmpty() {\\n return _size == 0;\\n }\",\n \"isEmpty() {\\n return this.items.length === 0; // return true if the queue is empty.\\n }\",\n \"isEmpty() {\\n return this._size === 0;\\n }\",\n \"isEmpty () {\\n return Boolean(this.queue.length === 0)\\n }\",\n \"isEmpty() {\\n return this.head === -1;\\n }\",\n \"isFull() {\\n return ((this.tail + 1) % this.size) === this.head;\\n }\",\n \"function boardHasEmptySpaces() {\\n let $emptySpaces = emptyBoardSpaceElements();\\n return $emptySpaces.length > 0;\\n}\",\n \"function isEmpty() {\\n if (stack_top === -1) {\\n return true;\\n }\\n return false;\\n }\",\n \"isEmpty() {\\n console.log(this.size === 0);\\n }\",\n \"isEmpty() {\\n return (this._size === 0);\\n }\",\n \"isEmpty() {\\n return this.size === 0;\\n }\",\n \"isEmpty() {\\n return this.size === 0;\\n }\",\n \"isEmpty() {\\n return this.size === 0;\\n }\",\n \"isEmpty() {\\n return this.size === 0;\\n }\",\n \"isEmpty() {\\n return this.size === 0;\\n }\",\n \"isEmpty() {\\r\\n\\t\\treturn this.size == 0;\\r\\n\\t}\",\n \"size() {\\r\\n\\t\\treturn this.heap.length;\\r\\n\\t}\",\n \"size() {\\r\\n\\t\\treturn this.heap.length;\\r\\n\\t}\",\n \"size() {\\n\\t\\treturn this.heap.length;\\n\\t}\",\n \"isEmpty() {\\r\\n\\t\\treturn size() == 0;\\r\\n\\t}\",\n \"isEmpty() {\\n if (this.Size > 0) {\\n return true;\\n }\\n return false;\\n }\",\n \"isFull() {\\n if (this.front == 0 && this.rear == this.size - 1 || (this.rear + 1 == this.front)) {\\n return true;\\n }\\n return false;\\n }\",\n \"isEmpty() { \\n return this.size == 0; \\n }\",\n \"isEmpty(){ return this.size == 0; }\",\n \"isEmpty(){\\n if(!this.head){\\n console.log('Stack is empty');\\n }\\n }\",\n \"isEmpty() \\n { \\n return this.size == 0; \\n }\",\n \"isEmpty() {\\n return this.head === null;\\n }\",\n \"isEmpty() {\\n return this.head === null;\\n }\",\n \"checkEmptyStack(numstack)\\n {\\n return (this.posting[numstack-1].length===0 || this.posting[numstack-1].length===null)\\n }\",\n \"function isEmpty(stack) {\\n return !stack.top;\\n}\",\n \"function isEmpty(stack) {\\n return !stack.top;\\n}\",\n \"function isEmpty(stack) {\\n return stack.length == 0\\n}\",\n \"isEmpty() {\\n return this.size == 0;\\n }\",\n \"function isStackEmpty(stack){\\n return !(stack.length>0);\\n }\",\n \"function isStackEmpty()\\r\\n{\\r\\n\\tif (this.intIndex == 0)\\r\\n\\t\\treturn true;\\r\\n\\telse\\r\\n\\t\\treturn false;\\r\\n}\",\n \"isEmpty() {\\n try {\\n const diff = this._head - this._length\\n if(diff >= 0) {\\n this._revertToOriginal()\\n }\\n return diff >= 0 ? true : false\\n } catch(err) {\\n throw new Error(err)\\n }\\n }\",\n \"isEmpty() {\\n return this.head == null;\\n }\",\n \"isEmpty() {\\n\\t\\tif (this.head == null) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"isEmpty() {\\n\\t\\tif (this.head == null) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"function _isStackEmpty()\\n {\\n if (this.intIndex == 0)\\n return true;\\n else\\n return false;\\n }\",\n \"isEmpty(){\\n return this.size==0;\\n }\",\n \"isEmpty(){\\n let top = this.peek();\\n return top == null || top == \\\"\\\";\\n }\",\n \"empty () { return this.length === 0 }\",\n \"isEmpty() {\\n if (this.head == null && this.tail == null){\\n return true;\\n }\\n else {\\n return false;\\n }\\n }\",\n \"function isStackEmpty()\\n{\\n\\tif (this.intIndex == 0)\\n\\t\\treturn true;\\n\\telse\\n\\t\\treturn false;\\n}\",\n \"get empty() {return !this._p.size;}\",\n \"isEmpty(){\\r\\n return this.head === null;\\r\\n }\",\n \"isFull() {\\n return this.length() === this.capacity;\\n }\",\n \"isEmpty() {\\n return this.storage.length === 0;\\n }\",\n \"isEmpty() {\\n return !this.front;\\n }\",\n \"function isEmpty(stack) {\\n return stack.length === 0;\\n}\",\n \"function isEmpty() {\\n return N === 0;\\n }\",\n \"isEmpty() {\\n return this.vertexCount === 0;\\n }\",\n \"isEmpty(){\\n return (this.size === 0); \\n }\",\n \"get isEmpty() {\\n return this.#queue.length === 0;\\n }\",\n \"isEmpty() {\\n if (this.head) {\\n return true;\\n } else {\\n return false;\\n }\\n }\",\n \"isEmpty() {\\n if (this.head) {\\n return true;\\n } else {\\n return false;\\n }\\n }\",\n \"get empty() {\\n return this._head.next === this._tail;\\n }\",\n \"isEmpty() {\\n return this.catQueue.isEmpty() && this.dogQueue.isEmpty();\\n }\",\n \"isEmpty() {\\n return (this.elements > 0) ? false : true;\\n }\",\n \"isEmpty() {\\n return (this.elements > 0) ? false : true;\\n }\",\n \"isEmpty() {\\n if (this.#size == 0) {\\n return true;\\n } else {\\n return false;\\n }\\n }\",\n \"isEmpty(){\\n if(this.head == null){\\n return true;\\n }\\n else{\\n return false;\\n }\\n }\",\n \"isEmpty() {\\n if (this.size == 0) {\\n return true;\\n }\\n return false;\\n }\",\n \"isFull() {\\n return (this.lastIndex === (this.capacity() - 1));\\n }\",\n \"isEmpty() {\\n \\n if (this.head == null){\\n return true\\n }\\n else {\\n return false\\n }\\n\\n }\",\n \"isEmpty() {\\n return this.head ? false : true\\n }\",\n \"isEmpty() {\\n if (this.head == this.tail) return true;\\n return false;\\n }\",\n \"empty() {\\n\\t\\tif (this.size() === 0) {\\n\\t\\t\\treturn true;\\n\\t\\t} else {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t}\",\n \"isEmpty() {\\n if (this.stack1.length == 0 && this.stack2.length == 0 ) {\\n console.log(\\\"The two stack queue is empty.\\\");\\n return true, this;\\n }\\n else {\\n console.log(\\\"The two stack queue is not empty.\\\");\\n return false, this;\\n }\\n }\",\n \"function isBoardFull(){\\n let board = $box.map((index, currBox) => {\\n let $currBox = $(currBox);\\n return isEmpty($currBox);\\n });\\n return !board.get().includes(true);\\n }\",\n \"isFull() {\\n return (this.tail + 1) % this.capacty == this.head\\n }\",\n \"isEmpty()\\r\\n {\\r\\n if(this.getSize() === 0){\\r\\n return true;\\r\\n } else {\\r\\n return false;\\r\\n }\\r\\n }\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"isFull(){\\n if(this.maxSize){\\n return this.size() === this.maxSize;\\n }\\n else{\\n return false;\\n }\\n }\",\n \"isEmpty () {\\n return this.queued.length === 0 && this.active.length === 0\\n }\",\n \"isEmpty() {\\n return 0 == this.q.length;\\n }\",\n \"empty() { return this.m == 0; }\",\n \"isEmpty(){\\n return this.count - this.lowestCount === 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\"0.6229515\",\n \"0.6229515\",\n \"0.6220916\",\n \"0.621215\",\n \"0.62019014\",\n \"0.61948025\",\n \"0.6193371\",\n \"0.6190803\",\n \"0.6188068\",\n \"0.61837274\",\n \"0.61815184\",\n \"0.61794376\",\n \"0.6178325\",\n \"0.61730874\",\n \"0.61690986\",\n \"0.6166842\",\n \"0.6165227\",\n \"0.615763\",\n \"0.6155618\",\n \"0.6155618\",\n \"0.6153883\",\n \"0.61406285\",\n \"0.61314684\",\n \"0.61314684\",\n \"0.612108\",\n \"0.6113774\",\n \"0.6112227\",\n \"0.6110725\",\n \"0.6094651\",\n \"0.60880136\",\n \"0.60770077\",\n \"0.6069082\",\n \"0.60665673\",\n \"0.60651433\",\n \"0.60649663\",\n \"0.60495555\",\n \"0.604129\",\n \"0.6039117\",\n \"0.60211825\",\n \"0.60201937\",\n \"0.5993393\",\n \"0.5983102\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.82852596"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":177,"cells":{"query":{"kind":"string","value":"returns the heap structure"},"document":{"kind":"string","value":"getHeap() {\r\n\t\treturn this.heap;\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function Heap()\n{\n\t// h[0] not used, heap initially empty\n\n\tthis.h = [null]; // heap of integer keys\n\tthis.h_item = [null]; // corresponding heap of data-items (any object)\n\tthis.size = 0; // 1 smaller than array (also index of last child)\n\n\n\t// --------------------\n\t// PQ-required only; more could be added later when needed\n\t// the 2 basic shape maintaining operations heapify and reheapify simplify\n\t// processing functions\n\n\tthis.isEmpty = heapisEmpty; // return true if heap empty\n\tthis.deleteRoot = heapDeleteRoot; // return data-item in root\n\tthis.insert = heapInsert; // insert data-item with key\n\n\tthis.heapify = heapheapify; // make subtree heap; top-down heapify (\"sink\") used by .deleteRoot()\n\tthis.reheapify = heapreheapify; // bottom-up reheapify (\"swim\") used by .insert()\n\tthis.show = heapShow; \t // utility: return pretty formatted heap as string\n\t \t // ... etc\n\n\t// --------------------\n}","function heapShow()\n{\n\tvar n = this.size;\n\tvar m = Math.floor(n/2); // last parent node\n\n\tvar k = this.h.slice(1,n+1), a = this.h_item.slice(1,n+1);\n\n\tvar out=\"<h2>Heap (size=\"+ n+ \"):</h2><p>Keys: \" + k + \"<br>Data: \"+ a + \"</p>\";\n\tfor (var i=1; i<=m; i++)\n\t{\n\t\tout += \"<p>\"+ i+ \": <b>\"+ this.h[i]+ \"(\"+ this.h_item[i]+ \")</b><ul>\";\n\t\tif ( 2*i <= n )\n\t\t\tout += \"<li>\"+ this.h[2*i]+ \"</li>\";\n\t\tif ( 2*i+1 <= n )\n\t\t\tout+= \"<li>\"+ this.h[2*i+1]+ \"</li>\";\n\t\tout+= \"</ul></p>\";\n\t}\n\n\treturn out;\n}","function Heap(){\n this.heap = [];\n}","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","heapify() {\n\t\t// last index is one less than the size\n\t\tlet index = this.size() - 1;\n\n\t\t/*\n Property of ith element in binary heap - \n left child is at = (2*i)th position\n right child is at = (2*i+1)th position\n parent is at = floor(i/2)th position\n */\n\n\t\t// converting entire array into heap from behind to front\n\t\t// just like heapify function to create it MAX HEAP\n\t\twhile (index > 0) {\n\t\t\t// pull out element from the array and find parent element\n\t\t\tlet element = this.heap[index],\n\t\t\t\tparentIndex = Math.floor((index - 1) / 2),\n\t\t\t\tparent = this.heap[parentIndex];\n\n\t\t\t// if parent is greater or equal, its already a heap hence break\n\t\t\tif (parent[0] >= element[0]) break;\n\t\t\t// else swap the values as we're creating a max heap\n\t\t\tthis.heap[index] = parent;\n\t\t\tthis.heap[parentIndex] = element;\n\t\t\tindex = parentIndex;\n\t\t}\n\t}","function BinaryHeap() {\n this.array = [];\n }","getRoot() {\n if(this.heap_size <= 0) {\n console.log(\"Heap underflow\");\n return null;\n }\n return this.harr[0];\n }","constructor(){\n this.heap = [];\n this.count = 0;\n }","constructor(){\n this.heap = [];\n this.count = 0;\n }","function BinaryHeap() {\n this.nodes = [];\n}","function heapDeleteRoot()\n{\n\tif (!this.isEmpty()) { \n\t\t// save root key and item pair\n\t\tvar root = [ this.h[1], this.h_item[1] ]; \n }\n\telse { //if heap is empty\n\t\treturn \"The heap is empty\";\n\t}\n\t// ... complete\n\tthis.h_item[1] = this.h_item[this.size];\n\n this.h[1] = this.h[this.size];\n this.heapify(1);\n\t\n //decrease the heap size by 1 since we delete from it\n this.size = this.size-1;\n\n\treturn root;\n}","function minheap_extract(heap) {\n swap(heap,0,heap.length - 1);\n var to_pop = heap.pop();\n var parent = 0;\n var child = parent * 2 + 1;\n while(child < heap.length){\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\n child = child + 1;\n }\n if(heap[child] < heap[parent]){\n swap(heap,child,parent);\n parent = child;\n child = parent * 2 + 1; \n }\n else{\n break;\n }\n }\n return to_pop;\n // STENCIL: implement your min binary heap extract operation\n}","function MinHeap(){\n\tthis.maxIndex = -1;\n\tthis.arr = {};\n}","constructor() {\n\t\tthis.heap = [];\n\t}","function heapify (heap) {\n // Get the parent idx of the last node\n var start = iparent(heap.arr.length - 1)\n while (start >= 0) {\n siftDown(start, heap)\n start -= 1\n }\n return heap\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function setupHeap(lists) {\n var heap = new MinHeap();\n for (var i = 0; i < lists.length; i++) {\n var node = new ListNode(lists[i][0], lists[i][1]);\n heap.insert(node);\n }\n return heap;\n}","static heapInMemory() {\n return this.inMemory(function () {\n return new Heap();\n }, (heap) => {\n return heap.array;\n }, (array) => {\n return new Heap(array);\n });\n }","buildMaxHeap() {}","toString() {\n return this.heapContainer.toString();\n }","getHead() {\n return this.maxheap[1]\n }","function make_heap_obj(node1_id, node2_id, weight) {\n return [node1_id, node2_id, weight];\n }","function Heap(key) {\n this._array = [];\n this._key = key || function (x) { return x; };\n}","function MinHeap() {\n\n /**\n * Insert an item into the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} x\n */\n this.insert = function(x) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:)\n *\n * @return{number}\n */\n this.peek = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Remove and return the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.pop = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the size of the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.size = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Convert the heap data into a string\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{string}\n */\n MinHeap.prototype.toString = function() {\n // INSERT YOUR CODE HERE\n }\n\n /*\n * The following are some optional helper methods. These are not required\n * but may make your life easier\n */\n\n /**\n * Get the index of the parent node of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var parent = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the index of the left child of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var leftChild = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Swap the values at 2 indices in our heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @param{number} j\n */\n var swap = function(i, j) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble up the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleUp = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble down the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleDown = function(i) {\n // INSERT YOUR CODE HERE\n }\n}","allocateHeap(hexData) {\n let addr = \"H\" + this.heapLength++; //Create placeholder address\n this.heap[addr] = { data: hexData, loc: \"\" };\n return addr;\n }","function displayHeap() {\n for (var i = 0; i < arr.length; i++) {\n if (arr[i].father == arr[i]) {\n arr[i].x = width / 2;\n arr[i].y = 100;\n }\n else {\n if (arr[i] == arr[i].father.leftson)\n arr[i].x = arr[i].father.x - arr[i].father.gap;\n else if (arr[i] == arr[i].father.rightson)\n arr[i].x = arr[i].father.x + arr[i].father.gap;\n\n arr[i].y = arr[i].father.y + 50;\n }\n }\n\n for (var ii = 0; ii < arr.length; ii++)\n arr[ii].edge = new edge(arr[ii]);\n}","function makeHeap(){\n\n //add a node to a heap and set it to current\n if(makeHeapStep == 1){\n heapAddNode();\n return;\n }else if(makeHeapStep == 2){ //Swim the node up if needed\n\n //We are at the start of the heap. No more swimming possible\n if(currentHeapPosition == 0){\n setNodeOneHeap();\n heapSwimStep = 1;\n \n \n return;\n }\n\n if(heapSwimStep == 1){ //set the parent Node\n heapSetParent();\n }else if(heapSwimStep == 2){ //compare to the parent Node\n if(orderArray[currentHeapPosition] > orderArray[heapParentIndex]){ //we must swap\n heapSwapWithParent();\n }else{ //do not swap. Node is now in the heap proper\n setToHeap();\n }\n \n heapSwimStep = 1;\n }\n }\n\n //sorting is now done\n if(heapSize == numNodes){\n doneMakingHeap = true;\n heapOldPosition = -1;\n addStep(\"The heap is now complete.\");\n }\n}","function minheap_extract(heap) \n{\n var PrintE;\n PrintE = heap[0];\n heap[0] = heap[heap.length - 1];\n\n var a,large;\n var temp = heap.pop();\n for (a=0;a<heap.length;a=large)\n {\n if (2*a+2>heap.length)\n {break;}\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\n {\n if (heap[a]>heap[2*a+2])\n {\n temp = heap [a];\n heap[a] = heap[2*a+2];\n heap[2*a+2] = temp; \n large = 2*a+2; \n }\n else\n {break;}\n }\n else\n {\n if (heap[a]>heap[2*a+1])\n {\n temp = heap [2*a+1];\n heap[2*a+1] = heap[a];\n heap[a] = temp; \n large = 2*a+1;\n }\n else\n {break;}\n }\n }\n return PrintE;\n}","function BinaryHeap(scoreFunction){\n this.content = [];\n this.scoreFunction = scoreFunction;\n}","function BinaryHeap(scoreFunction){\n this.content = [];\n this.scoreFunction = scoreFunction;\n}","function buildHeap(arr, type) {\n // gets the last index\n var lastIndex = arr.length - 1;\n // While the last index is greater than 0\n while (lastIndex > 0) {\n // get the parent index\n var parentIndex = Math.floor((lastIndex - 1) / 2);\n // get the items inside the parent\n // and the last index \n var lastItem = arr[lastIndex];\n var parentItem = arr[parentIndex];\n\n if (type === 'maxHeap') {\n // checks to see if the lastItem is greater\n // than the parentItem if so then do a swap\n if (lastItem > parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n else if (type === 'minHeap') {\n // checks to see if the lastItem is less\n // than the parentItem if so then do a swap\n if (lastItem < parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n\n }\n }","function heap(a, lo, hi) {\n\t var n = hi - lo,\n\t i = (n >>> 1) + 1;\n\t while (--i > 0) sift(a, i, n, lo);\n\t return a;\n\t }","function BinaryHeap(scoreFunction) {\r\n this.content = [];\r\n this.scoreFunction = scoreFunction;\r\n}","function minheap_extract(heap) {\n var min = heap[0];\n heap[0] = heap.pop();\n var index = 0;\n while(true){\n var child1 = (index+1)*2;\n var child2 = child1 -1;\n var toSwap = null;\n if(heap[index] > heap[child1]){\n toSwap = child1;\n }\n if(heap[index] > heap[child2] &&\n (heap[child1] == null || (heap[child1] !== null && heap[child2] < heap[child1]))){\n toSwap = child2;\n }\n if(toSwap == null){\n break;\n }\n var temp = heap[toSwap];\n heap[toSwap] = heap[index];\n heap[index] = temp;\n index = toSwap;\n }\n return min;\n // STENCIL: implement your min binary heap extract operation\n}","buildHeap(left, right) {\r\n var x = this.values[left];\r\n var i = left;\r\n\r\n while(true) {\r\n let j = 2 * i;\r\n if (j > right) break;\r\n if ((j < right) && (Item.compare(this.values[j + 1], this.values[j]) >= 0)) {\r\n j++;\r\n }\r\n\r\n if (Item.compare(x, this.values[j]) >= 0) break;\r\n let temp = this.values[i];\r\n this.values[i] = this.values[j];\r\n this.values[j] = temp;\r\n\r\n this.values[i].selected = true;\r\n this.printStorage.pushTimedPrint(this.values);\r\n this.values[i].selected = false;\r\n i = j;\r\n }\r\n\r\n this.values[i] = x;\r\n\r\n this.values[i].selected = true;\r\n this.printStorage.pushTimedPrint(this.values);\r\n this.values[i].selected = false;\r\n }","function BinaryHeap(scoreFunction){\n this.content = [];\n this.scoreFunction = scoreFunction;\n}","function BinaryHeap(options) {\n options = options || {};\n\n this._elements = options.elements || [];\n this._score = options.score || this._score;\n}","buildHeap(array) {\n const firstParentIdx = Math.floor((array.length - 2) / 2);\n for (let currentIdx = firstParentIdx; currentIdx >= 0; currentIdx--) {\n this.siftDown(currentIdx, array.length - 1, array);\n }\n return array;\n }","size() {\r\n\t\treturn this.heap.length;\r\n\t}","size() {\r\n\t\treturn this.heap.length;\r\n\t}","function SimpleHeap(f) {\n var data = [];\n\n // By default just use standard comparison\n var compareFunc = f;\n if (!compareFunc) {\n compareFunc = function(a,b) {\n if (a < b) return -1;\n return 1;\n }\n }\n\n this.insert = function(x) {\n data.push(x);\n data.sort(compareFunc);\n }\n\n this.pop = function() {\n return data.pop();\n }\n\n this.peek = function() {\n return data[data.length - 1];\n }\n\n this.size = function() {\n return data.length;\n }\n\n SimpleHeap.prototype.toString = function() {\n return data.toString();\n }\n}","function PriorityQueue() {\n this.heap = [];\n this.size = 0;\n}","size() {\n\t\treturn this.heap.length;\n\t}","function buildHeap(A) {\n var n = A.length;\n for (var i = n/2 - 1; i >= 0; i--) {\n heapify(A, i, n);\n }\n}","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","function heapSort(inputArr){\n var heap = new Heap;\n for(i=0; i<inputArr.length; i++){\n heap.add(inputArr[i])\n }\n var outputArr = []\n for(i=0; i<inputArr.length; i++){\n outputArr.push(heap.remove())\n }\n console.log(outputArr)\n return outputArr\n}","function heapSort(arr){\n var sorted = [];\n var heap1 = new MaxHeap();\n \n for(let i=0; i<arr.length; i++){\n heap1.insert(arr[i]);\n }\n \n for(let i=0; i<arr.length; i++){\n sorted.push(heap1.delete());\n }\n return sorted;\n}","function maxHeapBuild(arr) {\n if (arr.length <= 1) return;\n createHeap(arr, arr.length);\n return arr;\n}","function heap(a, lo, hi) {\n var n = hi - lo,\n i = (n >>> 1) + 1;\n while (--i > 0) sift(a, i, n, lo);\n return a;\n }","function maxHeapify(arr){\n\n}","get HEAP8() {\n return libzip_1.default.HEAP8;\n }","peek() {\n return this.heap[0];\n }","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","min() {\n return this.heap[1];\n }","function heapSort(array){\n // 1: Construction\n let heap = new MaxHeap()\n array.forEach(ele => {\n heap.insert(ele)\n });\n\n// 2: sortdown \n let sorted = []\n while (heap.array.length > 1){\n sorted.push(heap.deleteMax())\n }\n return sorted\n}","function startHeap(){\n makeHeapStep = 1;\n numHeapNodes = 1;\n orderArray = getOrder();\n console.log(orderArray);\n heapSize = 0; \n heapStarted = true;\n heapSwimStep = 1;\n heapOldPosition = -1;\n doneMakingHeap = false;\n sortHeapStep = 1;\n heapSinkStep = 1\n}","function Heap(size) {\n this.size = size;\n // A map of size classes per chunk (see above).\n this._sizeMap = {};\n this._buffer = new Buffer(size);\n this._remaining = size; // the whole thing is available.\n this._offset = 0; // start of the buffer.\n // Initialize the freelists.\n this._freeLists = new Array(Heap._numSizeClasses);\n for (var i = 0; i < Heap._numSizeClasses; i++) {\n this._freeLists[i] = [];\n }\n }","function heapAddNode(){\n setClass(nodes[heapSize], 2, \"Current\"); //set the first Node to the heap\n currentHeapPosition = heapSize;\n addStep(\"Add Node \" + (heapSize + 1) + \" to the heap and set it to \\\"current\\\".\");\n makeHeapStep = 2;\n}","min() {\n if (this.heap.length == 0)\n throw Error(\"Heap is empty\");\n\n return this.heap[0];\n }","function generateHeapCellHtml(row){\n var cellDisplayState = 'display:none;';\n if (isMemberRowExpanded[row.diskStoreUUID]) {\n cellDisplayState = 'display:block;';\n }\n\n var heapHtml = \"NA\";\n var heapStorageHtml = \"NA\";\n var heapExecutionHtml = \"NA\";\n\n if(row.memberType.toUpperCase() !== \"LOCATOR\"){\n var heapUsed = convertSizeToHumanReadable(row.heapMemoryUsed);\n var heapSize = convertSizeToHumanReadable(row.heapMemorySize);\n heapHtml = heapUsed[0] + \" \" + heapUsed[1]\n + \" / \" + heapSize[0] + \" \" + heapSize[1];\n var heapStorageUsed = convertSizeToHumanReadable(row.heapStoragePoolUsed);\n var heapStorageSize = convertSizeToHumanReadable(row.heapStoragePoolSize);\n heapStorageHtml = heapStorageUsed[0] + \" \" + heapStorageUsed[1]\n + \" / \" + heapStorageSize[0] + \" \" + heapStorageSize[1];\n var heapExecutionUsed = convertSizeToHumanReadable(row.heapExecutionPoolUsed);\n var heapExecutionSize = convertSizeToHumanReadable(row.heapExecutionPoolSize);\n heapExecutionHtml = heapExecutionUsed[0] + \" \" + heapExecutionUsed[1]\n + \" / \" + heapExecutionSize[0] + \" \" + heapExecutionSize[1];\n }\n var jvmHeapUsed = convertSizeToHumanReadable(row.usedMemory);\n var jvmHeapSize = convertSizeToHumanReadable(row.totalMemory);\n var jvmHeapHtml = jvmHeapUsed[0] + \" \" + jvmHeapUsed[1]\n + \" / \" + jvmHeapSize[0] + \" \" + jvmHeapSize[1];\n\n var heapCellHtml =\n '<div style=\"width: 95%; float: left; padding-right:10px;'\n + 'text-align:right;\">' + heapHtml\n + '</div>'\n + '<div class=\"cellDetailsBox\" id=\"'+ row.diskStoreUUID + '-heap\" '\n + 'style=\"width: 90%; ' + cellDisplayState + '\">'\n + '<span><strong>JVM Heap:</strong>'\n + '<br>' + jvmHeapHtml\n + '<br><strong>Storage Memory:</strong>'\n + '<br>' + heapStorageHtml\n + '<br><strong>Execution Memory:</strong>'\n + '<br>' + heapExecutionHtml\n + '</span>'\n + '</div>';\n return heapCellHtml;\n}","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","poll() {\r\n let rootElement = null;\r\n if (this.isEmpty()) {\r\n rootElement = null;\r\n } else if (this.hasSingleElement()) {\r\n rootElement = this.heapContainer.pop();\r\n } else { \r\n rootElement = this.heapContainer[0];\r\n this.heapContainer[0] = this.heapContainer.pop();\r\n this.heapifyDown();\r\n }\r\n \r\n return rootElement;\r\n }","function heapify(arr) {\n if (arr.length < 1) return arr\n for (let i = arr.length - 1; i >= 0; i--) {\n minHeapify(arr, i)\n }\n return arr\n}","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","function heap(compareFunction, array = []) {\n const data = array;\n const heapSort = ()=>{data.sort(compareFunction)};\n const add = function (node) {\n data.push(node);\n heapSort();\n };\n\n const remove = function () {\n const node = data.shift();\n return node;\n };\n\n const empty = function () {\n return data.length === 0;\n };\n const updateItems = function () {\n heapSort();\n };\n return {\n data: data,\n add: add,\n remove: remove,\n empty: empty,\n update: updateItems,\n };\n}","peek() {\n return (this.heap.length) ? this.heap[0] : null;\n }","function heapifyStandart(currentIndex, heapSize ,arr){\n\n var largestElement = currentIndex\n var leftIndex = 2 * currentIndex + 1\n var rightIndex = 2 * currentIndex + 2\n\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\n largestElement = leftIndex\n }\n \n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\n largestElement = rightIndex\n }\n\n if (largestElement != currentIndex){\n swapArrayElement(currentIndex, largestElement, arr)\n heapifyStandart(largestElement, heapSize, arr)\n }\n}","function _main()\n{\n\nvar heap = new Heap();\n //operation sequence from the Figure :\n var ListOfSequence = [\n\t\t{KEY: 2, Vlaue: \"a\"},\n\t\t{KEY: 9, Vlaue: \"b\"},\n\t\t{KEY: 7, Vlaue: \"c\"},\n\t\t{KEY: 6, Vlaue: \"d\"},\n\t\t{KEY: 5, Vlaue: \"e\"},\n\t\t{KEY: 8, Vlaue: \"f\"}];\n\n\tfor (var i = 0; i < ListOfSequence.length; i++) {\n\t\theap.insert(ListOfSequence[i].KEY , ListOfSequence[i].Vlaue);\n\t}\n document.write(heap.show());\n heap.insert(10, \"g\");\n document.write(heap.show());\n heap.insert(15, \"h\");\n document.write(heap.show());\n\n\n // set input graph properties then implement the graph\n var g = new Graph();\n g.label = \"Exercise 9.2: 1b (Levitin, 3rd edition)\";\n g.readGraph(_v, _e);\n g.printGraph();\n\n\n\n\n/** print output of first prim------------------------------------------------*/\n\n document.write('<br>MST by first Prim<br>');\n\n g.primImpl1();\n for (var i = 0; i < g.Prim_Edge.length; i++) {\n document.write(\"(\", g.Prim_Edge[i].v, \",\", g.Prim_Edge[i].u, \")\");\n \tg.Prim_Edge.length-1 == i ? document.write(\".<p>\") : document.write(\", \");\n\t}\n\n/**print output of second prim---------------------------------------*/\n\ndocument.write(\"<br>MST by Prim2 (PQ-Heap): <br>\");\n g.primImpl2();\n\n for (var n = 0; n < g.verticesTree.length; n++) {\n if (g.verticesTree[n].parent != null) {\n document.write(\"(\", g.verticesTree[n].parent, \",\", g.verticesTree[n].V, \")\");\n g.Prim_Edge.length-1 == i ? document.write(\".<p>\") : document.write(\", \");\n } else if (g.verticesTree[n].parent == null) {\n document.write(\"(-, \", g.verticesTree[n].tree, \"), \");\n }\n }\n\n}","function heapSort(array){\n let heapify = new MinHeap;\n let sortedArray = [];\n let length = array.length;\n\n for(let i = 0; i < length; i++){\n heapify.add(array.pop());\n }\n\n for(let j = 0; j < length; j++){\n sortedArray.push(heapify.extract());\n }\n\n return sortedArray;\n}","function build_initial_heap(ast) {\n var state = {heap: {}, stack: [{}], next: 0, dump: [], heapinfo: {}, user_types: {}};\n var decls = ast[\"decls\"];\n\n _(decls).map(function(n) {\n return compileDecl[n[\"node\"]](n, state);\n });\n\n return state;\n }","function minheap_insert(heap, new_element) {\n var length = heap.push(new_element);\n var child = length - 1;\n var parent = (child + child%2)/2 - 1;\n while(parent >= 0 && heap[child] < heap[parent]){\n swap(heap,parent,child);\n child = parent;\n parent = (child + child%2)/2 - 1;\n }\n // STENCIL: implement your min binary heap insert operation\n}","static buildMaxHeap(a) {\n a.heap_size = a.length;\n\n // Max-heapify the first n/2 elements as\n // they are tree nodes, and the remaining are\n // usually tree leaves\n let mid = parseInt(a.length / 2);\n for (let i = mid; i >= 0; i -= 1) {\n Heap.maxHeapify(a, i);\n }\n }","function extractMin(heap) {\n if (heap.length < 1) return null\n // swap first and last element\n let temp = heap[0]\n heap[0] = heap[heap.length-1]\n heap[heap.length-1] = temp\n\n const result = heap.pop()\n minHeapify(heap, 0)\n return result\n}","function heapSortV2(array) {\n\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\n heapify(array, array.length, i); // array length not really used for this part\n }\n\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \"delete\" max val until heap region is \"empty\"\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\n\n console.log(array);\n\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\n }\n\n return array;\n}","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","function minheap_insert(heap, new_element) {\n heap.push(new_element);\n var index = heap.length - 1;\n while(index > 0){\n var parent = Math.floor((index+1)/2)-1;\n if(heap[parent] > new_element){\n var temp = heap[parent];\n heap[parent] = new_element;\n heap[index] = temp;\n }\n index = parent;\n }\n // STENCIL: implement your min binary heap insert operation\n}","function FibonacciHeap() {\n if (!(this instanceof FibonacciHeap)) {\n throw new SyntaxError('Constructor must be called with the new operator');\n } // initialize fields\n\n\n this._minimum = null;\n this._size = 0;\n }","function FibonacciHeap() {\n if (!(this instanceof FibonacciHeap)) {\n throw new SyntaxError('Constructor must be called with the new operator');\n } // initialize fields\n\n\n this._minimum = null;\n this._size = 0;\n }","function heapify(arr,comp){\r\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\r\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\r\n // Restore the heap property for i\r\n siftDown(arr, comp, i);\r\n }\r\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\r\n}","function MaxHeap(array){\r\n Heap.call(this, array);\r\n \r\n // Build-max-heap method: produces a max-heap from an unordered input array\r\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\r\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\r\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\r\n this.floatDownElementOfIndex(i)\r\n }\r\n}","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","function heapWeight(i) {\n\t return weights[heap[i]]\n\t }","function heapWeight(i) {\n\t return weights[heap[i]]\n\t }","heapifyDown(){\n let idx = 0,\n element = this.values[idx],\n swap,\n leftChildIdx,\n rightChildIdx,\n leftChild,\n rightChild;\n while (true){\n swap = null;\n leftChildIdx = (2 * idx) + 1;\n rightChildIdx = (2 * idx) + 2;\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\n swap = leftChildIdx\n }\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\n swap = rightChildIdx;\n }\n if (swap === null) break;\n this.values[idx] = this.values[swap];\n this.values[swap] = element;\n idx = swap; \n } \n }","heapify(currentParent) {\n let left = this.left(currentParent);\n let right = this.right(currentParent);\n let bestParent = currentParent;\n\n // looking for the best parent that fulfills the heap property for this node and it's children\n if (left < this.size && !this.validParent(left, bestParent)) {\n bestParent = left;\n }\n if (right < this.size && !this.validParent(right, bestParent)) {\n bestParent = right;\n }\n\n // if the current parent is not the best parent, we have some work to do\n if (currentParent != bestParent) {\n // swapping new parent with old parent\n let currentParentValue = this.heap[currentParent];\n this.heap[currentParent] = this.heap[bestParent];\n this.heap[bestParent] = currentParentValue;\n\n // set locations on the swap\n this.locations.set(this.hash(this.heap[bestParent]), bestParent);\n this.locations.set(this.hash(this.heap[currentParent]), currentParent);\n\n // recurse from the best parent's old position\n this.heapify(bestParent);\n }\n }","function pq_insert(heap, new_element) {\n var eIntIdx = heap.length;\n var prntIdx = Math.floor((eIntIdx - 1 ) / 2);\n heap.push(new_element);\n var heaped = (eIntIdx <= 0) || (heap[prntIdx].priority <= heap[eIntIdx]).priority;\n\n while(!heaped){\n var tmp = heap[prntIdx];\n heap[prntIdx] = heap[eIntIdx];\n heap[eIntIdx] = tmp;\n\n eIntIdx = prntIdx;\n prntIdx = Math.floor((eIntIdx - 1)/2);\n heaped = (eIntIdx <= 0) ||(heap[prntIdx].priority <= heap[eIntIdx].priority);\n }\n // STENCIL: implement your min binary heap insert operation\n}","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}"],"string":"[\n \"function Heap()\\n{\\n\\t// h[0] not used, heap initially empty\\n\\n\\tthis.h = [null]; // heap of integer keys\\n\\tthis.h_item = [null]; // corresponding heap of data-items (any object)\\n\\tthis.size = 0; // 1 smaller than array (also index of last child)\\n\\n\\n\\t// --------------------\\n\\t// PQ-required only; more could be added later when needed\\n\\t// the 2 basic shape maintaining operations heapify and reheapify simplify\\n\\t// processing functions\\n\\n\\tthis.isEmpty = heapisEmpty; // return true if heap empty\\n\\tthis.deleteRoot = heapDeleteRoot; // return data-item in root\\n\\tthis.insert = heapInsert; // insert data-item with key\\n\\n\\tthis.heapify = heapheapify; // make subtree heap; top-down heapify (\\\"sink\\\") used by .deleteRoot()\\n\\tthis.reheapify = heapreheapify; // bottom-up reheapify (\\\"swim\\\") used by .insert()\\n\\tthis.show = heapShow; \\t // utility: return pretty formatted heap as string\\n\\t \\t // ... etc\\n\\n\\t// --------------------\\n}\",\n \"function heapShow()\\n{\\n\\tvar n = this.size;\\n\\tvar m = Math.floor(n/2); // last parent node\\n\\n\\tvar k = this.h.slice(1,n+1), a = this.h_item.slice(1,n+1);\\n\\n\\tvar out=\\\"<h2>Heap (size=\\\"+ n+ \\\"):</h2><p>Keys: \\\" + k + \\\"<br>Data: \\\"+ a + \\\"</p>\\\";\\n\\tfor (var i=1; i<=m; i++)\\n\\t{\\n\\t\\tout += \\\"<p>\\\"+ i+ \\\": <b>\\\"+ this.h[i]+ \\\"(\\\"+ this.h_item[i]+ \\\")</b><ul>\\\";\\n\\t\\tif ( 2*i <= n )\\n\\t\\t\\tout += \\\"<li>\\\"+ this.h[2*i]+ \\\"</li>\\\";\\n\\t\\tif ( 2*i+1 <= n )\\n\\t\\t\\tout+= \\\"<li>\\\"+ this.h[2*i+1]+ \\\"</li>\\\";\\n\\t\\tout+= \\\"</ul></p>\\\";\\n\\t}\\n\\n\\treturn out;\\n}\",\n \"function Heap(){\\n this.heap = [];\\n}\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"heapify() {\\n\\t\\t// last index is one less than the size\\n\\t\\tlet index = this.size() - 1;\\n\\n\\t\\t/*\\n Property of ith element in binary heap - \\n left child is at = (2*i)th position\\n right child is at = (2*i+1)th position\\n parent is at = floor(i/2)th position\\n */\\n\\n\\t\\t// converting entire array into heap from behind to front\\n\\t\\t// just like heapify function to create it MAX HEAP\\n\\t\\twhile (index > 0) {\\n\\t\\t\\t// pull out element from the array and find parent element\\n\\t\\t\\tlet element = this.heap[index],\\n\\t\\t\\t\\tparentIndex = Math.floor((index - 1) / 2),\\n\\t\\t\\t\\tparent = this.heap[parentIndex];\\n\\n\\t\\t\\t// if parent is greater or equal, its already a heap hence break\\n\\t\\t\\tif (parent[0] >= element[0]) break;\\n\\t\\t\\t// else swap the values as we're creating a max heap\\n\\t\\t\\tthis.heap[index] = parent;\\n\\t\\t\\tthis.heap[parentIndex] = element;\\n\\t\\t\\tindex = parentIndex;\\n\\t\\t}\\n\\t}\",\n \"function BinaryHeap() {\\n this.array = [];\\n }\",\n \"getRoot() {\\n if(this.heap_size <= 0) {\\n console.log(\\\"Heap underflow\\\");\\n return null;\\n }\\n return this.harr[0];\\n }\",\n \"constructor(){\\n this.heap = [];\\n this.count = 0;\\n }\",\n \"constructor(){\\n this.heap = [];\\n this.count = 0;\\n }\",\n \"function BinaryHeap() {\\n this.nodes = [];\\n}\",\n \"function heapDeleteRoot()\\n{\\n\\tif (!this.isEmpty()) { \\n\\t\\t// save root key and item pair\\n\\t\\tvar root = [ this.h[1], this.h_item[1] ]; \\n }\\n\\telse { //if heap is empty\\n\\t\\treturn \\\"The heap is empty\\\";\\n\\t}\\n\\t// ... complete\\n\\tthis.h_item[1] = this.h_item[this.size];\\n\\n this.h[1] = this.h[this.size];\\n this.heapify(1);\\n\\t\\n //decrease the heap size by 1 since we delete from it\\n this.size = this.size-1;\\n\\n\\treturn root;\\n}\",\n \"function minheap_extract(heap) {\\n swap(heap,0,heap.length - 1);\\n var to_pop = heap.pop();\\n var parent = 0;\\n var child = parent * 2 + 1;\\n while(child < heap.length){\\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\\n child = child + 1;\\n }\\n if(heap[child] < heap[parent]){\\n swap(heap,child,parent);\\n parent = child;\\n child = parent * 2 + 1; \\n }\\n else{\\n break;\\n }\\n }\\n return to_pop;\\n // STENCIL: implement your min binary heap extract operation\\n}\",\n \"function MinHeap(){\\n\\tthis.maxIndex = -1;\\n\\tthis.arr = {};\\n}\",\n \"constructor() {\\n\\t\\tthis.heap = [];\\n\\t}\",\n \"function heapify (heap) {\\n // Get the parent idx of the last node\\n var start = iparent(heap.arr.length - 1)\\n while (start >= 0) {\\n siftDown(start, heap)\\n start -= 1\\n }\\n return heap\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function setupHeap(lists) {\\n var heap = new MinHeap();\\n for (var i = 0; i < lists.length; i++) {\\n var node = new ListNode(lists[i][0], lists[i][1]);\\n heap.insert(node);\\n }\\n return heap;\\n}\",\n \"static heapInMemory() {\\n return this.inMemory(function () {\\n return new Heap();\\n }, (heap) => {\\n return heap.array;\\n }, (array) => {\\n return new Heap(array);\\n });\\n }\",\n \"buildMaxHeap() {}\",\n \"toString() {\\n return this.heapContainer.toString();\\n }\",\n \"getHead() {\\n return this.maxheap[1]\\n }\",\n \"function make_heap_obj(node1_id, node2_id, weight) {\\n return [node1_id, node2_id, weight];\\n }\",\n \"function Heap(key) {\\n this._array = [];\\n this._key = key || function (x) { return x; };\\n}\",\n \"function MinHeap() {\\n\\n /**\\n * Insert an item into the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} x\\n */\\n this.insert = function(x) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:)\\n *\\n * @return{number}\\n */\\n this.peek = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Remove and return the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.pop = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the size of the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.size = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Convert the heap data into a string\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{string}\\n */\\n MinHeap.prototype.toString = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /*\\n * The following are some optional helper methods. These are not required\\n * but may make your life easier\\n */\\n\\n /**\\n * Get the index of the parent node of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var parent = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the index of the left child of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var leftChild = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Swap the values at 2 indices in our heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @param{number} j\\n */\\n var swap = function(i, j) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble up the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleUp = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble down the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleDown = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n}\",\n \"allocateHeap(hexData) {\\n let addr = \\\"H\\\" + this.heapLength++; //Create placeholder address\\n this.heap[addr] = { data: hexData, loc: \\\"\\\" };\\n return addr;\\n }\",\n \"function displayHeap() {\\n for (var i = 0; i < arr.length; i++) {\\n if (arr[i].father == arr[i]) {\\n arr[i].x = width / 2;\\n arr[i].y = 100;\\n }\\n else {\\n if (arr[i] == arr[i].father.leftson)\\n arr[i].x = arr[i].father.x - arr[i].father.gap;\\n else if (arr[i] == arr[i].father.rightson)\\n arr[i].x = arr[i].father.x + arr[i].father.gap;\\n\\n arr[i].y = arr[i].father.y + 50;\\n }\\n }\\n\\n for (var ii = 0; ii < arr.length; ii++)\\n arr[ii].edge = new edge(arr[ii]);\\n}\",\n \"function makeHeap(){\\n\\n //add a node to a heap and set it to current\\n if(makeHeapStep == 1){\\n heapAddNode();\\n return;\\n }else if(makeHeapStep == 2){ //Swim the node up if needed\\n\\n //We are at the start of the heap. No more swimming possible\\n if(currentHeapPosition == 0){\\n setNodeOneHeap();\\n heapSwimStep = 1;\\n \\n \\n return;\\n }\\n\\n if(heapSwimStep == 1){ //set the parent Node\\n heapSetParent();\\n }else if(heapSwimStep == 2){ //compare to the parent Node\\n if(orderArray[currentHeapPosition] > orderArray[heapParentIndex]){ //we must swap\\n heapSwapWithParent();\\n }else{ //do not swap. Node is now in the heap proper\\n setToHeap();\\n }\\n \\n heapSwimStep = 1;\\n }\\n }\\n\\n //sorting is now done\\n if(heapSize == numNodes){\\n doneMakingHeap = true;\\n heapOldPosition = -1;\\n addStep(\\\"The heap is now complete.\\\");\\n }\\n}\",\n \"function minheap_extract(heap) \\n{\\n var PrintE;\\n PrintE = heap[0];\\n heap[0] = heap[heap.length - 1];\\n\\n var a,large;\\n var temp = heap.pop();\\n for (a=0;a<heap.length;a=large)\\n {\\n if (2*a+2>heap.length)\\n {break;}\\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\\n {\\n if (heap[a]>heap[2*a+2])\\n {\\n temp = heap [a];\\n heap[a] = heap[2*a+2];\\n heap[2*a+2] = temp; \\n large = 2*a+2; \\n }\\n else\\n {break;}\\n }\\n else\\n {\\n if (heap[a]>heap[2*a+1])\\n {\\n temp = heap [2*a+1];\\n heap[2*a+1] = heap[a];\\n heap[a] = temp; \\n large = 2*a+1;\\n }\\n else\\n {break;}\\n }\\n }\\n return PrintE;\\n}\",\n \"function BinaryHeap(scoreFunction){\\n this.content = [];\\n this.scoreFunction = scoreFunction;\\n}\",\n \"function BinaryHeap(scoreFunction){\\n this.content = [];\\n this.scoreFunction = scoreFunction;\\n}\",\n \"function buildHeap(arr, type) {\\n // gets the last index\\n var lastIndex = arr.length - 1;\\n // While the last index is greater than 0\\n while (lastIndex > 0) {\\n // get the parent index\\n var parentIndex = Math.floor((lastIndex - 1) / 2);\\n // get the items inside the parent\\n // and the last index \\n var lastItem = arr[lastIndex];\\n var parentItem = arr[parentIndex];\\n\\n if (type === 'maxHeap') {\\n // checks to see if the lastItem is greater\\n // than the parentItem if so then do a swap\\n if (lastItem > parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n else if (type === 'minHeap') {\\n // checks to see if the lastItem is less\\n // than the parentItem if so then do a swap\\n if (lastItem < parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n\\n }\\n }\",\n \"function heap(a, lo, hi) {\\n\\t var n = hi - lo,\\n\\t i = (n >>> 1) + 1;\\n\\t while (--i > 0) sift(a, i, n, lo);\\n\\t return a;\\n\\t }\",\n \"function BinaryHeap(scoreFunction) {\\r\\n this.content = [];\\r\\n this.scoreFunction = scoreFunction;\\r\\n}\",\n \"function minheap_extract(heap) {\\n var min = heap[0];\\n heap[0] = heap.pop();\\n var index = 0;\\n while(true){\\n var child1 = (index+1)*2;\\n var child2 = child1 -1;\\n var toSwap = null;\\n if(heap[index] > heap[child1]){\\n toSwap = child1;\\n }\\n if(heap[index] > heap[child2] &&\\n (heap[child1] == null || (heap[child1] !== null && heap[child2] < heap[child1]))){\\n toSwap = child2;\\n }\\n if(toSwap == null){\\n break;\\n }\\n var temp = heap[toSwap];\\n heap[toSwap] = heap[index];\\n heap[index] = temp;\\n index = toSwap;\\n }\\n return min;\\n // STENCIL: implement your min binary heap extract operation\\n}\",\n \"buildHeap(left, right) {\\r\\n var x = this.values[left];\\r\\n var i = left;\\r\\n\\r\\n while(true) {\\r\\n let j = 2 * i;\\r\\n if (j > right) break;\\r\\n if ((j < right) && (Item.compare(this.values[j + 1], this.values[j]) >= 0)) {\\r\\n j++;\\r\\n }\\r\\n\\r\\n if (Item.compare(x, this.values[j]) >= 0) break;\\r\\n let temp = this.values[i];\\r\\n this.values[i] = this.values[j];\\r\\n this.values[j] = temp;\\r\\n\\r\\n this.values[i].selected = true;\\r\\n this.printStorage.pushTimedPrint(this.values);\\r\\n this.values[i].selected = false;\\r\\n i = j;\\r\\n }\\r\\n\\r\\n this.values[i] = x;\\r\\n\\r\\n this.values[i].selected = true;\\r\\n this.printStorage.pushTimedPrint(this.values);\\r\\n this.values[i].selected = false;\\r\\n }\",\n \"function BinaryHeap(scoreFunction){\\n this.content = [];\\n this.scoreFunction = scoreFunction;\\n}\",\n \"function BinaryHeap(options) {\\n options = options || {};\\n\\n this._elements = options.elements || [];\\n this._score = options.score || this._score;\\n}\",\n \"buildHeap(array) {\\n const firstParentIdx = Math.floor((array.length - 2) / 2);\\n for (let currentIdx = firstParentIdx; currentIdx >= 0; currentIdx--) {\\n this.siftDown(currentIdx, array.length - 1, array);\\n }\\n return array;\\n }\",\n \"size() {\\r\\n\\t\\treturn this.heap.length;\\r\\n\\t}\",\n \"size() {\\r\\n\\t\\treturn this.heap.length;\\r\\n\\t}\",\n \"function SimpleHeap(f) {\\n var data = [];\\n\\n // By default just use standard comparison\\n var compareFunc = f;\\n if (!compareFunc) {\\n compareFunc = function(a,b) {\\n if (a < b) return -1;\\n return 1;\\n }\\n }\\n\\n this.insert = function(x) {\\n data.push(x);\\n data.sort(compareFunc);\\n }\\n\\n this.pop = function() {\\n return data.pop();\\n }\\n\\n this.peek = function() {\\n return data[data.length - 1];\\n }\\n\\n this.size = function() {\\n return data.length;\\n }\\n\\n SimpleHeap.prototype.toString = function() {\\n return data.toString();\\n }\\n}\",\n \"function PriorityQueue() {\\n this.heap = [];\\n this.size = 0;\\n}\",\n \"size() {\\n\\t\\treturn this.heap.length;\\n\\t}\",\n \"function buildHeap(A) {\\n var n = A.length;\\n for (var i = n/2 - 1; i >= 0; i--) {\\n heapify(A, i, n);\\n }\\n}\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"function heapSort(inputArr){\\n var heap = new Heap;\\n for(i=0; i<inputArr.length; i++){\\n heap.add(inputArr[i])\\n }\\n var outputArr = []\\n for(i=0; i<inputArr.length; i++){\\n outputArr.push(heap.remove())\\n }\\n console.log(outputArr)\\n return outputArr\\n}\",\n \"function heapSort(arr){\\n var sorted = [];\\n var heap1 = new MaxHeap();\\n \\n for(let i=0; i<arr.length; i++){\\n heap1.insert(arr[i]);\\n }\\n \\n for(let i=0; i<arr.length; i++){\\n sorted.push(heap1.delete());\\n }\\n return sorted;\\n}\",\n \"function maxHeapBuild(arr) {\\n if (arr.length <= 1) return;\\n createHeap(arr, arr.length);\\n return arr;\\n}\",\n \"function heap(a, lo, hi) {\\n var n = hi - lo,\\n i = (n >>> 1) + 1;\\n while (--i > 0) sift(a, i, n, lo);\\n return a;\\n }\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"get HEAP8() {\\n return libzip_1.default.HEAP8;\\n }\",\n \"peek() {\\n return this.heap[0];\\n }\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"min() {\\n return this.heap[1];\\n }\",\n \"function heapSort(array){\\n // 1: Construction\\n let heap = new MaxHeap()\\n array.forEach(ele => {\\n heap.insert(ele)\\n });\\n\\n// 2: sortdown \\n let sorted = []\\n while (heap.array.length > 1){\\n sorted.push(heap.deleteMax())\\n }\\n return sorted\\n}\",\n \"function startHeap(){\\n makeHeapStep = 1;\\n numHeapNodes = 1;\\n orderArray = getOrder();\\n console.log(orderArray);\\n heapSize = 0; \\n heapStarted = true;\\n heapSwimStep = 1;\\n heapOldPosition = -1;\\n doneMakingHeap = false;\\n sortHeapStep = 1;\\n heapSinkStep = 1\\n}\",\n \"function Heap(size) {\\n this.size = size;\\n // A map of size classes per chunk (see above).\\n this._sizeMap = {};\\n this._buffer = new Buffer(size);\\n this._remaining = size; // the whole thing is available.\\n this._offset = 0; // start of the buffer.\\n // Initialize the freelists.\\n this._freeLists = new Array(Heap._numSizeClasses);\\n for (var i = 0; i < Heap._numSizeClasses; i++) {\\n this._freeLists[i] = [];\\n }\\n }\",\n \"function heapAddNode(){\\n setClass(nodes[heapSize], 2, \\\"Current\\\"); //set the first Node to the heap\\n currentHeapPosition = heapSize;\\n addStep(\\\"Add Node \\\" + (heapSize + 1) + \\\" to the heap and set it to \\\\\\\"current\\\\\\\".\\\");\\n makeHeapStep = 2;\\n}\",\n \"min() {\\n if (this.heap.length == 0)\\n throw Error(\\\"Heap is empty\\\");\\n\\n return this.heap[0];\\n }\",\n \"function generateHeapCellHtml(row){\\n var cellDisplayState = 'display:none;';\\n if (isMemberRowExpanded[row.diskStoreUUID]) {\\n cellDisplayState = 'display:block;';\\n }\\n\\n var heapHtml = \\\"NA\\\";\\n var heapStorageHtml = \\\"NA\\\";\\n var heapExecutionHtml = \\\"NA\\\";\\n\\n if(row.memberType.toUpperCase() !== \\\"LOCATOR\\\"){\\n var heapUsed = convertSizeToHumanReadable(row.heapMemoryUsed);\\n var heapSize = convertSizeToHumanReadable(row.heapMemorySize);\\n heapHtml = heapUsed[0] + \\\" \\\" + heapUsed[1]\\n + \\\" / \\\" + heapSize[0] + \\\" \\\" + heapSize[1];\\n var heapStorageUsed = convertSizeToHumanReadable(row.heapStoragePoolUsed);\\n var heapStorageSize = convertSizeToHumanReadable(row.heapStoragePoolSize);\\n heapStorageHtml = heapStorageUsed[0] + \\\" \\\" + heapStorageUsed[1]\\n + \\\" / \\\" + heapStorageSize[0] + \\\" \\\" + heapStorageSize[1];\\n var heapExecutionUsed = convertSizeToHumanReadable(row.heapExecutionPoolUsed);\\n var heapExecutionSize = convertSizeToHumanReadable(row.heapExecutionPoolSize);\\n heapExecutionHtml = heapExecutionUsed[0] + \\\" \\\" + heapExecutionUsed[1]\\n + \\\" / \\\" + heapExecutionSize[0] + \\\" \\\" + heapExecutionSize[1];\\n }\\n var jvmHeapUsed = convertSizeToHumanReadable(row.usedMemory);\\n var jvmHeapSize = convertSizeToHumanReadable(row.totalMemory);\\n var jvmHeapHtml = jvmHeapUsed[0] + \\\" \\\" + jvmHeapUsed[1]\\n + \\\" / \\\" + jvmHeapSize[0] + \\\" \\\" + jvmHeapSize[1];\\n\\n var heapCellHtml =\\n '<div style=\\\"width: 95%; float: left; padding-right:10px;'\\n + 'text-align:right;\\\">' + heapHtml\\n + '</div>'\\n + '<div class=\\\"cellDetailsBox\\\" id=\\\"'+ row.diskStoreUUID + '-heap\\\" '\\n + 'style=\\\"width: 90%; ' + cellDisplayState + '\\\">'\\n + '<span><strong>JVM Heap:</strong>'\\n + '<br>' + jvmHeapHtml\\n + '<br><strong>Storage Memory:</strong>'\\n + '<br>' + heapStorageHtml\\n + '<br><strong>Execution Memory:</strong>'\\n + '<br>' + heapExecutionHtml\\n + '</span>'\\n + '</div>';\\n return heapCellHtml;\\n}\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"poll() {\\r\\n let rootElement = null;\\r\\n if (this.isEmpty()) {\\r\\n rootElement = null;\\r\\n } else if (this.hasSingleElement()) {\\r\\n rootElement = this.heapContainer.pop();\\r\\n } else { \\r\\n rootElement = this.heapContainer[0];\\r\\n this.heapContainer[0] = this.heapContainer.pop();\\r\\n this.heapifyDown();\\r\\n }\\r\\n \\r\\n return rootElement;\\r\\n }\",\n \"function heapify(arr) {\\n if (arr.length < 1) return arr\\n for (let i = arr.length - 1; i >= 0; i--) {\\n minHeapify(arr, i)\\n }\\n return arr\\n}\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"function heap(compareFunction, array = []) {\\n const data = array;\\n const heapSort = ()=>{data.sort(compareFunction)};\\n const add = function (node) {\\n data.push(node);\\n heapSort();\\n };\\n\\n const remove = function () {\\n const node = data.shift();\\n return node;\\n };\\n\\n const empty = function () {\\n return data.length === 0;\\n };\\n const updateItems = function () {\\n heapSort();\\n };\\n return {\\n data: data,\\n add: add,\\n remove: remove,\\n empty: empty,\\n update: updateItems,\\n };\\n}\",\n \"peek() {\\n return (this.heap.length) ? this.heap[0] : null;\\n }\",\n \"function heapifyStandart(currentIndex, heapSize ,arr){\\n\\n var largestElement = currentIndex\\n var leftIndex = 2 * currentIndex + 1\\n var rightIndex = 2 * currentIndex + 2\\n\\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\\n largestElement = leftIndex\\n }\\n \\n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\\n largestElement = rightIndex\\n }\\n\\n if (largestElement != currentIndex){\\n swapArrayElement(currentIndex, largestElement, arr)\\n heapifyStandart(largestElement, heapSize, arr)\\n }\\n}\",\n \"function _main()\\n{\\n\\nvar heap = new Heap();\\n //operation sequence from the Figure :\\n var ListOfSequence = [\\n\\t\\t{KEY: 2, Vlaue: \\\"a\\\"},\\n\\t\\t{KEY: 9, Vlaue: \\\"b\\\"},\\n\\t\\t{KEY: 7, Vlaue: \\\"c\\\"},\\n\\t\\t{KEY: 6, Vlaue: \\\"d\\\"},\\n\\t\\t{KEY: 5, Vlaue: \\\"e\\\"},\\n\\t\\t{KEY: 8, Vlaue: \\\"f\\\"}];\\n\\n\\tfor (var i = 0; i < ListOfSequence.length; i++) {\\n\\t\\theap.insert(ListOfSequence[i].KEY , ListOfSequence[i].Vlaue);\\n\\t}\\n document.write(heap.show());\\n heap.insert(10, \\\"g\\\");\\n document.write(heap.show());\\n heap.insert(15, \\\"h\\\");\\n document.write(heap.show());\\n\\n\\n // set input graph properties then implement the graph\\n var g = new Graph();\\n g.label = \\\"Exercise 9.2: 1b (Levitin, 3rd edition)\\\";\\n g.readGraph(_v, _e);\\n g.printGraph();\\n\\n\\n\\n\\n/** print output of first prim------------------------------------------------*/\\n\\n document.write('<br>MST by first Prim<br>');\\n\\n g.primImpl1();\\n for (var i = 0; i < g.Prim_Edge.length; i++) {\\n document.write(\\\"(\\\", g.Prim_Edge[i].v, \\\",\\\", g.Prim_Edge[i].u, \\\")\\\");\\n \\tg.Prim_Edge.length-1 == i ? document.write(\\\".<p>\\\") : document.write(\\\", \\\");\\n\\t}\\n\\n/**print output of second prim---------------------------------------*/\\n\\ndocument.write(\\\"<br>MST by Prim2 (PQ-Heap): <br>\\\");\\n g.primImpl2();\\n\\n for (var n = 0; n < g.verticesTree.length; n++) {\\n if (g.verticesTree[n].parent != null) {\\n document.write(\\\"(\\\", g.verticesTree[n].parent, \\\",\\\", g.verticesTree[n].V, \\\")\\\");\\n g.Prim_Edge.length-1 == i ? document.write(\\\".<p>\\\") : document.write(\\\", \\\");\\n } else if (g.verticesTree[n].parent == null) {\\n document.write(\\\"(-, \\\", g.verticesTree[n].tree, \\\"), \\\");\\n }\\n }\\n\\n}\",\n \"function heapSort(array){\\n let heapify = new MinHeap;\\n let sortedArray = [];\\n let length = array.length;\\n\\n for(let i = 0; i < length; i++){\\n heapify.add(array.pop());\\n }\\n\\n for(let j = 0; j < length; j++){\\n sortedArray.push(heapify.extract());\\n }\\n\\n return sortedArray;\\n}\",\n \"function build_initial_heap(ast) {\\n var state = {heap: {}, stack: [{}], next: 0, dump: [], heapinfo: {}, user_types: {}};\\n var decls = ast[\\\"decls\\\"];\\n\\n _(decls).map(function(n) {\\n return compileDecl[n[\\\"node\\\"]](n, state);\\n });\\n\\n return state;\\n }\",\n \"function minheap_insert(heap, new_element) {\\n var length = heap.push(new_element);\\n var child = length - 1;\\n var parent = (child + child%2)/2 - 1;\\n while(parent >= 0 && heap[child] < heap[parent]){\\n swap(heap,parent,child);\\n child = parent;\\n parent = (child + child%2)/2 - 1;\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"static buildMaxHeap(a) {\\n a.heap_size = a.length;\\n\\n // Max-heapify the first n/2 elements as\\n // they are tree nodes, and the remaining are\\n // usually tree leaves\\n let mid = parseInt(a.length / 2);\\n for (let i = mid; i >= 0; i -= 1) {\\n Heap.maxHeapify(a, i);\\n }\\n }\",\n \"function extractMin(heap) {\\n if (heap.length < 1) return null\\n // swap first and last element\\n let temp = heap[0]\\n heap[0] = heap[heap.length-1]\\n heap[heap.length-1] = temp\\n\\n const result = heap.pop()\\n minHeapify(heap, 0)\\n return result\\n}\",\n \"function heapSortV2(array) {\\n\\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\\n heapify(array, array.length, i); // array length not really used for this part\\n }\\n\\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \\\"delete\\\" max val until heap region is \\\"empty\\\"\\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\\n\\n console.log(array);\\n\\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\\n }\\n\\n return array;\\n}\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"function minheap_insert(heap, new_element) {\\n heap.push(new_element);\\n var index = heap.length - 1;\\n while(index > 0){\\n var parent = Math.floor((index+1)/2)-1;\\n if(heap[parent] > new_element){\\n var temp = heap[parent];\\n heap[parent] = new_element;\\n heap[index] = temp;\\n }\\n index = parent;\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"function FibonacciHeap() {\\n if (!(this instanceof FibonacciHeap)) {\\n throw new SyntaxError('Constructor must be called with the new operator');\\n } // initialize fields\\n\\n\\n this._minimum = null;\\n this._size = 0;\\n }\",\n \"function FibonacciHeap() {\\n if (!(this instanceof FibonacciHeap)) {\\n throw new SyntaxError('Constructor must be called with the new operator');\\n } // initialize fields\\n\\n\\n this._minimum = null;\\n this._size = 0;\\n }\",\n \"function heapify(arr,comp){\\r\\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\\r\\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\\r\\n // Restore the heap property for i\\r\\n siftDown(arr, comp, i);\\r\\n }\\r\\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\\r\\n}\",\n \"function MaxHeap(array){\\r\\n Heap.call(this, array);\\r\\n \\r\\n // Build-max-heap method: produces a max-heap from an unordered input array\\r\\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\\r\\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\\r\\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\\r\\n this.floatDownElementOfIndex(i)\\r\\n }\\r\\n}\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"function heapWeight(i) {\\n\\t return weights[heap[i]]\\n\\t }\",\n \"function heapWeight(i) {\\n\\t return weights[heap[i]]\\n\\t }\",\n \"heapifyDown(){\\n let idx = 0,\\n element = this.values[idx],\\n swap,\\n leftChildIdx,\\n rightChildIdx,\\n leftChild,\\n rightChild;\\n while (true){\\n swap = null;\\n leftChildIdx = (2 * idx) + 1;\\n rightChildIdx = (2 * idx) + 2;\\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\\n swap = leftChildIdx\\n }\\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\\n swap = rightChildIdx;\\n }\\n if (swap === null) break;\\n this.values[idx] = this.values[swap];\\n this.values[swap] = element;\\n idx = swap; \\n } \\n }\",\n \"heapify(currentParent) {\\n let left = this.left(currentParent);\\n let right = this.right(currentParent);\\n let bestParent = currentParent;\\n\\n // looking for the best parent that fulfills the heap property for this node and it's children\\n if (left < this.size && !this.validParent(left, bestParent)) {\\n bestParent = left;\\n }\\n if (right < this.size && !this.validParent(right, bestParent)) {\\n bestParent = right;\\n }\\n\\n // if the current parent is not the best parent, we have some work to do\\n if (currentParent != bestParent) {\\n // swapping new parent with old parent\\n let currentParentValue = this.heap[currentParent];\\n this.heap[currentParent] = this.heap[bestParent];\\n this.heap[bestParent] = currentParentValue;\\n\\n // set locations on the swap\\n this.locations.set(this.hash(this.heap[bestParent]), bestParent);\\n this.locations.set(this.hash(this.heap[currentParent]), currentParent);\\n\\n // recurse from the best parent's old position\\n this.heapify(bestParent);\\n }\\n }\",\n \"function pq_insert(heap, new_element) {\\n var eIntIdx = heap.length;\\n var prntIdx = Math.floor((eIntIdx - 1 ) / 2);\\n heap.push(new_element);\\n var heaped = (eIntIdx <= 0) || (heap[prntIdx].priority <= heap[eIntIdx]).priority;\\n\\n while(!heaped){\\n var tmp = heap[prntIdx];\\n heap[prntIdx] = heap[eIntIdx];\\n heap[eIntIdx] = tmp;\\n\\n eIntIdx = prntIdx;\\n prntIdx = Math.floor((eIntIdx - 1)/2);\\n heaped = (eIntIdx <= 0) ||(heap[prntIdx].priority <= heap[eIntIdx].priority);\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list 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values"},"document":{"kind":"string","value":"minHeapify(arr, n, i) {\r\n\t\tlet smallest = i;\r\n\t\tlet leftIndex = 2 * i + 1;\r\n\t\tlet rightIndex = 2 * i + 2;\r\n\r\n\t\tif (leftIndex < n && arr[leftIndex] < arr[smallest]) {\r\n\t\t\tsmallest = leftIndex;\r\n\t\t}\r\n\t\tif (rightIndex < n && arr[rightIndex] < arr[smallest]) {\r\n\t\t\tsmallest = rightIndex;\r\n\t\t}\r\n\t\tif (smallest != i) {\r\n\t\t\tlet temp = arr[i];\r\n\t\t\tarr[i] = arr[smallest];\r\n\t\t\tarr[smallest] = temp;\r\n\t\t\tthis.minHeapify(arr, n, smallest);\r\n\t\t}\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["MinHeapify(index) {\n let left = this.left(index);\n let right = this.right(index);\n let smallest = index;\n if (left < this.size && this.data[left] < this.data[index]) smallest = left;\n if (right < this.size && this.data[right] < this.data[smallest])\n smallest = right;\n if (smallest != index) {\n let temp = this.data[index];\n this.data[index] = this.data[smallest];\n this.data[smallest] = temp;\n this.MinHeapify(smallest);\n }\n }","function MinHeap(){\n\tthis.maxIndex = -1;\n\tthis.arr = {};\n}","heapify() {\n\t\t// last index is one less than the size\n\t\tlet index = this.size() - 1;\n\n\t\t/*\n Property of ith element in binary heap - \n left child is at = (2*i)th position\n right child is at = (2*i+1)th position\n parent is at = floor(i/2)th position\n */\n\n\t\t// converting entire array into heap from behind to front\n\t\t// just like heapify function to create it MAX HEAP\n\t\twhile (index > 0) {\n\t\t\t// pull out element from the array and find parent element\n\t\t\tlet element = this.heap[index],\n\t\t\t\tparentIndex = Math.floor((index - 1) / 2),\n\t\t\t\tparent = this.heap[parentIndex];\n\n\t\t\t// if parent is greater or equal, its already a heap hence break\n\t\t\tif (parent[0] >= element[0]) break;\n\t\t\t// else swap the values as we're creating a max heap\n\t\t\tthis.heap[index] = parent;\n\t\t\tthis.heap[parentIndex] = element;\n\t\t\tindex = parentIndex;\n\t\t}\n\t}","function heapify(arr) {\n if (arr.length < 1) return arr\n for (let i = arr.length - 1; i >= 0; i--) {\n minHeapify(arr, i)\n }\n return arr\n}","function minheap_insert(heap, new_element) \n{\n \n var adj,temp;\n heap.push(new_element);\n for (adj=heap.length-1;adj>0;adj=Math.floor((adj-1)/2))\n {\n if (new_element < heap[Math.floor((adj-1)/2)]) // use to swap those two numbers\n {\n temp = new_element;\n heap[adj] = heap[Math.floor((adj-1)/2)];\n heap[Math.floor((adj-1)/2)] = temp; \n }\n }\n return;\n}","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","function MinHeap(array, comparator) {\n\n /**\n * Storage for heap. \n * @private\n */\n this.heap = array || new Array();\n\n /**\n * Default comparator used if an override is not provided.\n * @private\n */\n this.compare = comparator || function(item1, item2) {\n return item1 == item2 ? 0 : item1 < item2 ? -1 : 1;\n };\n\n /**\n * Retrieve the index of the left child of the node at index i.\n * @private\n */\n this.left = function(i) {\n return 2 * i + 1;\n };\n /**\n * Retrieve the index of the right child of the node at index i.\n * @private\n */\n this.right = function(i) {\n return 2 * i + 2;\n };\n /**\n * Retrieve the index of the parent of the node at index i.\n * @private\n */\n this.parent = function(i) {\n return Math.ceil(i / 2) - 1;\n };\n\n /**\n * Ensure that the contents of the heap don't violate the \n * constraint. \n * @private\n */\n this.heapify = function(i) {\n var lIdx = this.left(i);\n var rIdx = this.right(i);\n var smallest;\n if (lIdx < this.heap.length\n && this.compare(this.heap[lIdx], this.heap[i]) < 0) {\n smallest = lIdx;\n } else {\n smallest = i;\n }\n if (rIdx < this.heap.length\n && this.compare(this.heap[rIdx], this.heap[smallest]) < 0) {\n smallest = rIdx;\n }\n if (i != smallest) {\n var temp = this.heap[smallest];\n this.heap[smallest] = this.heap[i];\n this.heap[i] = temp;\n this.heapify(smallest);\n }\n };\n\n /**\n * Starting with the node at index i, move up the heap until parent value\n * is less than the node.\n * @private\n */\n this.siftUp = function(i) {\n var p = this.parent(i);\n if (p >= 0 && this.compare(this.heap[p], this.heap[i]) > 0) {\n var temp = this.heap[p];\n this.heap[p] = this.heap[i];\n this.heap[i] = temp;\n this.siftUp(p);\n }\n };\n\n /**\n * Heapify the contents of an array.\n * This function is called when an array is provided.\n * @private\n */\n this.heapifyArray = function() {\n // for loop starting from floor size/2 going up and heapify each.\n var i = Math.floor(this.heap.length / 2) - 1;\n for (; i >= 0; i--) {\n // jstestdriver.console.log(\"i: \", i);\n this.heapify(i);\n }\n };\n\n // If an initial array was provided, then heapify the array.\n if (array != null) {\n this.heapifyArray();\n }\n ;\n}","heapifyDown(){\n let idx = 0,\n element = this.values[idx],\n swap,\n leftChildIdx,\n rightChildIdx,\n leftChild,\n rightChild;\n while (true){\n swap = null;\n leftChildIdx = (2 * idx) + 1;\n rightChildIdx = (2 * idx) + 2;\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\n swap = leftChildIdx\n }\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\n swap = rightChildIdx;\n }\n if (swap === null) break;\n this.values[idx] = this.values[swap];\n this.values[swap] = element;\n idx = swap; \n } \n }","heapify(/*index*/ i) {\n let l = this.left(i);\n let r = this.right(i);\n let biggest = i;\n if (l < this.heap_size && this.harr[i].element.compareByMulKeys(this.harr[l].element, this.compareValues) == -1)\n biggest = l;\n if (r < this.heap_size && this.harr[biggest].element.compareByMulKeys(this.harr[r].element, this.compareValues) == -1)\n biggest = r;\n if (biggest != i) {\n this.swap(this.harr, i, biggest);\n this.heapify(biggest);\n }\n }","min() {\n return this.heap[1];\n }","function pq_insert(heap, new_element) {\n var eIntIdx = heap.length;\n var prntIdx = Math.floor((eIntIdx - 1 ) / 2);\n heap.push(new_element);\n var heaped = (eIntIdx <= 0) || (heap[prntIdx].priority <= heap[eIntIdx]).priority;\n\n while(!heaped){\n var tmp = heap[prntIdx];\n heap[prntIdx] = heap[eIntIdx];\n heap[eIntIdx] = tmp;\n\n eIntIdx = prntIdx;\n prntIdx = Math.floor((eIntIdx - 1)/2);\n heaped = (eIntIdx <= 0) ||(heap[prntIdx].priority <= heap[eIntIdx].priority);\n }\n // STENCIL: implement your min binary heap insert operation\n}","removeMin() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","function heapify(arr,comp){\r\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\r\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\r\n // Restore the heap property for i\r\n siftDown(arr, comp, i);\r\n }\r\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\r\n}","function minheap_extract(heap) \n{\n var PrintE;\n PrintE = heap[0];\n heap[0] = heap[heap.length - 1];\n\n var a,large;\n var temp = heap.pop();\n for (a=0;a<heap.length;a=large)\n {\n if (2*a+2>heap.length)\n {break;}\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\n {\n if (heap[a]>heap[2*a+2])\n {\n temp = heap [a];\n heap[a] = heap[2*a+2];\n heap[2*a+2] = temp; \n large = 2*a+2; \n }\n else\n {break;}\n }\n else\n {\n if (heap[a]>heap[2*a+1])\n {\n temp = heap [2*a+1];\n heap[2*a+1] = heap[a];\n heap[a] = temp; \n large = 2*a+1;\n }\n else\n {break;}\n }\n }\n return PrintE;\n}","extractMin() {\n if (this.size <= 0) return;\n if (this.size === 1) {\n this.size--;\n return this.data[0];\n }\n let root = this.data[0];\n this.data[0] = this.data[this.size - 1];\n this.size--;\n this.MinHeapify(0);\n return root;\n }","function minHeapify(heap, i) {\n if (heap.length < 1) return\n let left = 2 * i + 1\n let right = 2 * i + 2\n let smallest = i\n if (left < heap.length && heap[left] < heap[smallest]) {\n smallest = left\n }\n if (right < heap.length && heap[right] < heap[smallest]) {\n smallest = right\n }\n if (smallest !== i) {\n [heap[smallest], heap[i]] = swap(heap[smallest], heap[i])\n minHeapify(heap, smallest)\n }\n}","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","function minheap_insert(heap, new_element) {\n heap.push(new_element);\n var index = heap.length - 1;\n while(index > 0){\n var parent = Math.floor((index+1)/2)-1;\n if(heap[parent] > new_element){\n var temp = heap[parent];\n heap[parent] = new_element;\n heap[index] = temp;\n }\n index = parent;\n }\n // STENCIL: implement your min binary heap insert operation\n}","delMin() {\n /*\n * Save reference to the min key.\n * Swap the min key with the last key in the heap.\n * Decrement n so that the key does not swim back up the heap.\n * Sink down the heap to fix any violations that have arisen.\n * Delete the min key to prevent loitering, and return its reference.\n */\n let min = this.heap[1];\n\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\n this.n--;\n this.sink(1);\n this.heap[this.n+1] = null;\n\n return min;\n }","function minheap_extract(heap) {\n swap(heap,0,heap.length - 1);\n var to_pop = heap.pop();\n var parent = 0;\n var child = parent * 2 + 1;\n while(child < heap.length){\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\n child = child + 1;\n }\n if(heap[child] < heap[parent]){\n swap(heap,child,parent);\n parent = child;\n child = parent * 2 + 1; \n }\n else{\n break;\n }\n }\n return to_pop;\n // STENCIL: implement your min binary heap extract operation\n}","function minheap_insert(heap, new_element) {\n var length = heap.push(new_element);\n var child = length - 1;\n var parent = (child + child%2)/2 - 1;\n while(parent >= 0 && heap[child] < heap[parent]){\n swap(heap,parent,child);\n child = parent;\n parent = (child + child%2)/2 - 1;\n }\n // STENCIL: implement your min binary heap insert operation\n}","function maxHeapify(arr){\n\n}","function MinHeap() {\n\n /**\n * Insert an item into the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} x\n */\n this.insert = function(x) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:)\n *\n * @return{number}\n */\n this.peek = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Remove and return the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.pop = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the size of the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.size = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Convert the heap data into a string\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{string}\n */\n MinHeap.prototype.toString = function() {\n // INSERT YOUR CODE HERE\n }\n\n /*\n * The following are some optional helper methods. These are not required\n * but may make your life easier\n */\n\n /**\n * Get the index of the parent node of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var parent = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the index of the left child of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var leftChild = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Swap the values at 2 indices in our heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @param{number} j\n */\n var swap = function(i, j) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble up the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleUp = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble down the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleDown = function(i) {\n // INSERT YOUR CODE HERE\n }\n}","function minheap_extract(heap) {\n var min = heap[0];\n heap[0] = heap.pop();\n var index = 0;\n while(true){\n var child1 = (index+1)*2;\n var child2 = child1 -1;\n var toSwap = null;\n if(heap[index] > heap[child1]){\n toSwap = child1;\n }\n if(heap[index] > heap[child2] &&\n (heap[child1] == null || (heap[child1] !== null && heap[child2] < heap[child1]))){\n toSwap = child2;\n }\n if(toSwap == null){\n break;\n }\n var temp = heap[toSwap];\n heap[toSwap] = heap[index];\n heap[index] = temp;\n index = toSwap;\n }\n return min;\n // STENCIL: implement your min binary heap extract operation\n}","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","function heapSort(array){\n let heapify = new MinHeap;\n let sortedArray = [];\n let length = array.length;\n\n for(let i = 0; i < length; i++){\n heapify.add(array.pop());\n }\n\n for(let j = 0; j < length; j++){\n sortedArray.push(heapify.extract());\n }\n\n return sortedArray;\n}","function heapSortV2(array) {\n\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\n heapify(array, array.length, i); // array length not really used for this part\n }\n\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \"delete\" max val until heap region is \"empty\"\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\n\n console.log(array);\n\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\n }\n\n return array;\n}","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","insert(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tif (size === 0) {\r\n\t\t\tthis.heap.push(data);\r\n\t\t} else {\r\n\t\t\tthis.heap.push(data);\r\n\r\n\t\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\t\tthis.minHeapify(this.heap, this.heap.length, i);\r\n\t\t\t}\r\n\t\t}\r\n\t}","function minHeap(arr){\r\n\tfor(var i=Math.floor(arr.length/2); i >= 0; i--){\r\n\t\tminHeapafiy(arr, i)\r\n\t}\r\n\treturn arr\r\n}","function _adjustHeap (arr) {\n var i = parseInt(arr.length / 2) - 1;\n\n while (i >= 0) {\n if (arr[i] < arr[2 * i + 1] || arr[i] < arr[2 * i + 2]) {\n if (arr[2 * i + 1] < arr[2 * i + 2]) {\n arr[2 * i + 2] = [arr[i], arr[i] = arr[2 * i + 2]][0];\n } else {\n arr[2 * i + 1] = [arr[i], arr[i] = arr[2 * i + 1]][0];\n }\n _adjustHeap(arr);\n }\n i--;\n };\n }","function heapifyStandart(currentIndex, heapSize ,arr){\n\n var largestElement = currentIndex\n var leftIndex = 2 * currentIndex + 1\n var rightIndex = 2 * currentIndex + 2\n\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\n largestElement = leftIndex\n }\n \n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\n largestElement = rightIndex\n }\n\n if (largestElement != currentIndex){\n swapArrayElement(currentIndex, largestElement, arr)\n heapifyStandart(largestElement, heapSize, arr)\n }\n}","function minHeapCompFunction(value1, value2)\r\n{\r\n /*\r\n this function checks if the value1 is in the right position\r\n and the developer have to use to make sure that the min heap invarient is holding or not \r\n */\r\n\r\n if(value1 < value2)\r\n return true;\r\n\r\n return false; // for = and >\r\n}","function heapSort(input) {\n // inplace sorting algorithm\n // iterate from the middle and go to the first element and heapify at each position\n let middleElement = Math.ceil(input.length / 2);\n\n for (let i = middleElement; i >= 0; i--) {\n heapify(i, input.length - 1, input);\n }\n\n let lastElement = input.length - 1;\n for (let i = 0; i <= lastElement; i++) {\n let temp = input[lastElement - i];\n input[lastElement - i] = input[0];\n input[0] = temp;\n heapify(0, lastElement - i - 1, input);\n }\n // console.log(\"sorted\");\n // console.log(input);\n}","function extractMin(heap) {\n if (heap.length < 1) return null\n // swap first and last element\n let temp = heap[0]\n heap[0] = heap[heap.length-1]\n heap[heap.length-1] = temp\n\n const result = heap.pop()\n minHeapify(heap, 0)\n return result\n}","grow() {\n this.capacity *= 2;\n this.capacity = this.closestLargestPrime(this.capacity);\n for (let i = 0; i < this.table.length; i++) {\n let currentBucket = this.table[i];\n this.table[i] = [];\n if (currentBucket) {\n if (currentBucket.length > 0) {\n this.elements--;\n currentBucket.forEach(item => {\n this.add(item.key, item.value);\n });\n }\n }\n }\n }","constructor(/*MinHeapNode[]*/ a, /*int*/ size, compareValues) {\n super(a, size, compareValues);\n let i = (this.heap_size - 1)/2;\n while (i >= 0) {\n this.heapify(i);\n i--;\n }\n }","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","async function heapSortAux(array) { \n const len = array.length;\n // Build heap (rearrange array) \n for (let i = Math.floor(len / 2) - 1; i >= 0; i--) { \n await heapify(array, len, i); \n }\n \n // One by one extract an element from heap \n for (let i = len-1; i > 0; i--) { \n array[0].style.backgroundColor = bar_colours.selectedColour2;\n array[i].style.backgroundColor = bar_colours.selectedColour;\n await new Promise(resolve =>\n setTimeout(() => {\n resolve();\n }, delay)\n );\n // Move current root to end \n await swap(array, 0, i); \n array[i].style.backgroundColor = bar_colours.doneColour;\n array[0].style.backgroundColor = bar_colours.initColour;\n\n \n \n // call max heapify on the reduced heap \n await heapify(array, i, 0); \n } \n }","insert(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tif (size === 0) {\r\n\t\t\tthis.heap.push(data);\r\n\t\t} else {\r\n\t\t\tthis.heap.push(data);\r\n\r\n\t\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t\t}\r\n\t\t}\r\n\t}","min() {\n if (this.heap.length == 0)\n throw Error(\"Heap is empty\");\n\n return this.heap[0];\n }","heapifyToBottom(index) {\n let smallest = index;\n const child1 = index * 2 + 1;\n const child2 = index * 2 + 2;\n if (this.compare(child1, smallest) < 0) {\n smallest = child1;\n }\n if (this.compare(child2, smallest) < 0) {\n smallest = child2;\n }\n //swap with smaller child if either child is smaller than parent\n if (index !== smallest) {\n utility_1.default.swap(this._nodes, index, smallest);\n this.heapifyToBottom(smallest);\n }\n }","heapDown(index) {\n const [leftIndex, rightIndex] = this.children(index);\n \n if (!leftIndex && !rightIndex) return;\n\n let min;\n rightIndex ? min = rightIndex : min = leftIndex;\n if ((leftIndex && rightIndex) &&\n this.store[leftIndex].key < this.store[rightIndex].key) {\n min = leftIndex;\n }\n\n if (this.store[index].key > this.store[min].key) {\n this.swap(index, min);\n this.heapDown(min);\n }\n }","function setupHeap(lists) {\n var heap = new MinHeap();\n for (var i = 0; i < lists.length; i++) {\n var node = new ListNode(lists[i][0], lists[i][1]);\n heap.insert(node);\n }\n return heap;\n}","heapifyUp(customStartIndex) {\n // Take the last element (last in array or the bottom left in a tree)\n // in the heap container and lift it up until it is in the correct\n // order with respect to its parent element.\n let currentIndex = customStartIndex || this.heapContainer.length - 1;\n\n while (\n this.hasParent(currentIndex) &&\n !(this.parent(currentIndex) <= this.heapContainer[currentIndex])\n ) {\n this.swap(currentIndex, this.getParentIndex(currentIndex));\n currentIndex = this.getParentIndex(currentIndex);\n }\n }","function heapSort(inputArr){\n var heap = new Heap;\n for(i=0; i<inputArr.length; i++){\n heap.add(inputArr[i])\n }\n var outputArr = []\n for(i=0; i<inputArr.length; i++){\n outputArr.push(heap.remove())\n }\n console.log(outputArr)\n return outputArr\n}","function heapSortInPlace(array){\n for(let i = 1; i < array.length; i++){\n MaxHeap.heapifyUp(array, i);\n }\n\n let temp;\n for(let j = array.length - 1; 0 < j; j--){\n temp = array[0];\n array[0] = array[j];\n array[j] = temp;\n\n // j is the length of array\n MaxHeap.heapifyDown(array, 0, j);\n }\n\n return array;\n}","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}","function heapify(currentIndex, arr){\n\n if (isHavingChildrenLeft(currentIndex, arr)) {\n let parent = arr[currentIndex]\n\n if (isHavingChildrenRight(currentIndex, arr)){\n let maxChildren = Math.max(arr[currentIndex * 2 + 1], arr[currentIndex * 2 + 2])\n if (parent < maxChildren){\n let maxChilrenIndex = maxChildren == arr[currentIndex * 2 + 1] ? currentIndex * 2 + 1 : currentIndex * 2 + 2 \n swapArrayElement(currentIndex, maxChilrenIndex, arr)\n heapify(maxChilrenIndex, arr)\n }\n }else {\n if (parent < arr[currentIndex * 2 + 1]){\n swapArrayElement(currentIndex, currentIndex * 2 + 1, arr)\n heapify(currentIndex * 2 + 1, arr)\n }\n }\n }else {\n console.log(\"skipping index %d\", currentIndex)\n }\n}","function heapSort(arr){\n var sorted = [];\n var heap1 = new MaxHeap();\n \n for(let i=0; i<arr.length; i++){\n heap1.insert(arr[i]);\n }\n \n for(let i=0; i<arr.length; i++){\n sorted.push(heap1.delete());\n }\n return sorted;\n}","function heapify(array, size, i) {\n let max = i // initialize max as root\n let left = 2 * i + 1\n let right = 2 * i + 2\n \n // if left child is larger than root\n if (left < size && array[left] > array[max])\n max = left\n \n // if right child is larger than max\n if (right < size && array[right] > array[max])\n max = right\n \n // if max is not root\n if (max != i) {\n // swap\n let temp = array[i]\n array[i] = array[max]\n array[max] = temp\n \n // recursively heapify the affected sub-tree\n heapify(array, size, max)\n }\n }","heapSort(start, length) {\n this.heapify(start, length);\n\n for (let i = length - start; i > 1; i--) {\n this.Writes.swap(start, start + i - 1);\n this.siftDown(1, i - 1, start);\n }\n\n // if(!isMax) {\n // this.Writes.reversal(arr, start, start + length - 1, 1, true, false);\n // }\n}","function heapSort(arr,comp){\r\n // Turn arr into a heap\r\n heapify(arr,comp);\r\n for(let i = arr.length-1; i > 0; i--){\r\n // The 0th element of a heap is the largest so move it to the top.\r\n [arr[0],arr[i]] = [arr[i],arr[0]];\r\n // The 0th element is no longer the largest; restore the heap property\r\n siftDown(arr,comp,0);\r\n }\r\n}","heapifyToTop(index) {\n while (index > 0) {\n const parent = Math.floor((index - 1) / 2);\n if (this.compare(index, parent) >= 0) {\n break;\n }\n //swap with parent node while current node is smaller\n utility_1.default.swap(this._nodes, index, parent);\n index = parent;\n }\n }","enqueue(value, priority) {\n const newEntry = new Entry(value, priority);\n this.values.push(newEntry);\n let curr = this.values.length - 1;\n let parent = Math.floor((curr - 1) / 2);\n while (\n curr > 0 &&\n this.values[parent].priority > this.values[curr].priority\n ) {\n const temp = this.values[parent];\n this.values[parent] = this.values[curr];\n this.values[curr] = temp;\n curr = parent;\n parent = Math.floor((curr - 1) / 2);\n }\n }","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","extractMin() {\r\n\t\tconst min = this.heap[0];\r\n\t\tthis.remove(min);\r\n\t\treturn min;\r\n\t}","heapify(currentParent) {\n let left = this.left(currentParent);\n let right = this.right(currentParent);\n let bestParent = currentParent;\n\n // looking for the best parent that fulfills the heap property for this node and it's children\n if (left < this.size && !this.validParent(left, bestParent)) {\n bestParent = left;\n }\n if (right < this.size && !this.validParent(right, bestParent)) {\n bestParent = right;\n }\n\n // if the current parent is not the best parent, we have some work to do\n if (currentParent != bestParent) {\n // swapping new parent with old parent\n let currentParentValue = this.heap[currentParent];\n this.heap[currentParent] = this.heap[bestParent];\n this.heap[bestParent] = currentParentValue;\n\n // set locations on the swap\n this.locations.set(this.hash(this.heap[bestParent]), bestParent);\n this.locations.set(this.hash(this.heap[currentParent]), currentParent);\n\n // recurse from the best parent's old position\n this.heapify(bestParent);\n }\n }","function heapify(array, size, i, animations)\n{\n let root = i;\n let left = 2 * i + 1;\n let right = 2 * i + 2;\n if(left < size && array[left] > array[root])\n {\n animations.push([root, left, false]);\n animations.push([root, left, false]);\n root = left;\n }\n if(right < size && array[right] > array[root])\n {\n animations.push([root, right, false]);\n animations.push([root, right, false]);\n root = right;\n }\n //Root has changed because i was not the root\n if(root != i)\n {\n animations.push([root, array[i], true]);\n animations.push([i, array[root], true]);\n //If root is not i, then swap the values, call heapify recursively\n swap(array, root, i);\n heapify(array, size, root, animations);\n }\n}","heapify(/*index*/ i) {\n // this is a stub\n }","function heapSort(array){\n // 1: Construction\n let heap = new MaxHeap()\n array.forEach(ele => {\n heap.insert(ele)\n });\n\n// 2: sortdown \n let sorted = []\n while (heap.array.length > 1){\n sorted.push(heap.deleteMax())\n }\n return sorted\n}","insert_num(num) {\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\n this.maxHeap.insert(num);\n } else {\n this.minHeap.insert(num);\n }\n\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\n this.minHeap.insert(this.maxHeap.extractMax());\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\n this.maxHeap.insert(this.minHeap.remove());\n }\n }","_heapifyUp(startIndex) {\n let childIndex = startIndex;\n let parentIndex = Math.floor((childIndex - 1) / 2);\n\n while (this._shouldSwap(parentIndex, childIndex)) {\n this._swap(parentIndex, childIndex);\n childIndex = parentIndex;\n parentIndex = Math.floor((childIndex - 1) / 2);\n }\n }","function PriorityQueue (priorityAttribute) {\n\n this.nodeList = []\n this.priorityAttribute = priorityAttribute; //for graph it is destanceFromBegining\n\n this.insert = function (node){\n this.nodeList.push(node);\n }\n\n // return 1 if first > second\n // return 0 if first = second\n // return -1 if first < second\n var sign = function(x){\n if(x > 0) return 1;\n if(x < 0) return -1;\n return 0;\n }\n\n var compare = function(first, second){\n\n if(first === undefined || second === undefined)\n throw new UnexpectedInternalError(\"Illegal argument exception: arguments of compare cannot be undefined\")\n\n if (first === \"infinity\") {\n if (second === \"infinity\") {\n return 0;\n } else {\n return 1;\n }\n } else {\n if (second === \"infinity\") {\n return -1;\n } else {\n sign(first - second) ;\n }\n }\n\n }\n\n this.extractMin = function () {\n if(this.nodeList.length === 0) return \"empty\";\n\n var indexOfMin = 0;\n for(var i = 0; i < this.nodeList.length; i++){\n if( compare(this.nodeList[i][this.priorityAttribute], this.nodeList[indexOfMin][this.priorityAttribute]) === -1 )\n indexOfMin = i;\n }\n\n var min = this.nodeList[indexOfMin];\n this.nodeList.splice(indexOfMin, 1);\n return min;\n }\n\n this.decreaseKey = function (node, key) {\n if(node[this.priorityAttribute] < key)\n throw new UnexpectedInternalError(\"Given key: \" + key + \" is greater than current key of given node:\" + node[this.priorityAttribute])\n\n node[this.priorityAttribute] = key;\n }\n\n this.isEmpty = function (){\n return this.nodeList.length === 0;\n }\n\n this.isNotEmpty = function () {\n return this.nodeList.length !== 0;\n }\n}","insert(value, priority) {\n var node = new Node(value, priority);\n\n this.heap.push(node);\n\n let currentNodeIdx = this.heap.length - 1;\n let currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\n\n while (\n this.heap[currentNodeParentIdx] &&\n priority > this.heap[currentNodeParentIdx].priority\n ) {\n const parent = this.heap[currentNodeParentIdx]; // swap\n this.heap[currentNodeParentIdx] = node;\n this.heap[currentNodeIdx] = parent;\n\n currentNodeIdx = currentNodeParentIdx; // update pointers\n currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\n }\n }","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function Heap()\n{\n\t// h[0] not used, heap initially empty\n\n\tthis.h = [null]; // heap of integer keys\n\tthis.h_item = [null]; // corresponding heap of data-items (any object)\n\tthis.size = 0; // 1 smaller than array (also index of last child)\n\n\n\t// --------------------\n\t// PQ-required only; more could be added later when needed\n\t// the 2 basic shape maintaining operations heapify and reheapify simplify\n\t// processing functions\n\n\tthis.isEmpty = heapisEmpty; // return true if heap empty\n\tthis.deleteRoot = heapDeleteRoot; // return data-item in root\n\tthis.insert = heapInsert; // insert data-item with key\n\n\tthis.heapify = heapheapify; // make subtree heap; top-down heapify (\"sink\") used by .deleteRoot()\n\tthis.reheapify = heapreheapify; // bottom-up reheapify (\"swim\") used by .insert()\n\tthis.show = heapShow; \t // utility: return pretty formatted heap as string\n\t \t // ... etc\n\n\t// --------------------\n}","function PriorityQueue() {\n this.heap = [];\n this.size = 0;\n}","function make_heap_obj(node1_id, node2_id, weight) {\n return [node1_id, node2_id, weight];\n }","buildHeap(left, right) {\r\n var x = this.values[left];\r\n var i = left;\r\n\r\n while(true) {\r\n let j = 2 * i;\r\n if (j > right) break;\r\n if ((j < right) && (Item.compare(this.values[j + 1], this.values[j]) >= 0)) {\r\n j++;\r\n }\r\n\r\n if (Item.compare(x, this.values[j]) >= 0) break;\r\n let temp = this.values[i];\r\n this.values[i] = this.values[j];\r\n this.values[j] = temp;\r\n\r\n this.values[i].selected = true;\r\n this.printStorage.pushTimedPrint(this.values);\r\n this.values[i].selected = false;\r\n i = j;\r\n }\r\n\r\n this.values[i] = x;\r\n\r\n this.values[i].selected = true;\r\n this.printStorage.pushTimedPrint(this.values);\r\n this.values[i].selected = false;\r\n }","extract(withPriority) {\n if (this.isEmpty()) return;\n let _minPriorityItem = this._elementHeap[0];\n let _minPriority = this._priorityHeap[0];\n this._swap(0, this._size - 1);\n this._elementHeap.splice(-1, 1);\n this._priorityHeap.splice(-1, 1);\n delete this._indexLookup[_minPriorityItem];\n this._size--;\n\n this._fixBottomHeap(0);\n return withPriority\n ? _minPriorityItem && { item: _minPriorityItem, priority: _minPriority }\n : _minPriorityItem;\n }","function buildHeap(A) {\n var n = A.length;\n for (var i = n/2 - 1; i >= 0; i--) {\n heapify(A, i, n);\n }\n}","heapifyDown(customStartIndex = 0) {\n // Compare the parent element to its children and swap parent with the appropriate\n // child (smallest child for MinHeap, largest child for MaxHeap).\n // Do the same for next children after swap.\n let currentIndex = customStartIndex;\n let nextIndex = null;\n\n while (this.hasLeftChild(currentIndex)) {\n if (\n this.hasRightChild(currentIndex) &&\n this.rightChild(currentIndex) <= this.leftChild(currentIndex)\n ) {\n nextIndex = this.getRightChildIndex(currentIndex);\n } else {\n nextIndex = this.getLeftChildIndex(currentIndex);\n }\n\n if (this.heapContainer[currentIndex] <= this.heapContainer[nextIndex]) {\n break;\n }\n\n this.swap(currentIndex, nextIndex);\n currentIndex = nextIndex;\n }\n }","function SimpleHeap(f) {\n var data = [];\n\n // By default just use standard comparison\n var compareFunc = f;\n if (!compareFunc) {\n compareFunc = function(a,b) {\n if (a < b) return -1;\n return 1;\n }\n }\n\n this.insert = function(x) {\n data.push(x);\n data.sort(compareFunc);\n }\n\n this.pop = function() {\n return data.pop();\n }\n\n this.peek = function() {\n return data[data.length - 1];\n }\n\n this.size = function() {\n return data.length;\n }\n\n SimpleHeap.prototype.toString = function() {\n return data.toString();\n }\n}","function heapify(array, n, i) {\n let leftIdx = 2 * i + 1; // 1) grab left/right indices/values of current val/node\n let rightIdx = 2 * i + 2; // root index is now 0 instead of 1 (no null placeholder)\n let leftVal = array[leftIdx];\n let rightVal = array[rightIdx];\n\n if (leftIdx >= n) leftVal = -Infinity; // 2) set left/right val to -infinity if we're out of array bounds (determined by n)\n if (rightIdx >= n) rightVal = -Infinity;\n\n if (array[i] > leftVal && array[i] > rightVal) return; // 3) exit if current val > both children\n\n let swapIdx;\n if (leftVal < rightVal) { // 4) determine index to swap current value with\n swapIdx = rightIdx;\n } else {\n swapIdx = leftIdx;\n }\n\n [array[i], array[swapIdx]] = [array[swapIdx], array[i]]; // 5) swap current val w/ larger of two children\n\n heapify(array, n, swapIdx); // 6) recursively siftDown/heapify until maxHeap property met\n}","function buildHeap(arr, type) {\n // gets the last index\n var lastIndex = arr.length - 1;\n // While the last index is greater than 0\n while (lastIndex > 0) {\n // get the parent index\n var parentIndex = Math.floor((lastIndex - 1) / 2);\n // get the items inside the parent\n // and the last index \n var lastItem = arr[lastIndex];\n var parentItem = arr[parentIndex];\n\n if (type === 'maxHeap') {\n // checks to see if the lastItem is greater\n // than the parentItem if so then do a swap\n if (lastItem > parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n else if (type === 'minHeap') {\n // checks to see if the lastItem is less\n // than the parentItem if so then do a swap\n if (lastItem < parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n\n }\n }","grow() {\n this.capacity *= 2;\n this.capacity = this.closestLargestPrime(this.capacity);\n for (let i = 0; i < this.table.length; i++) {\n let currentBucket = this.table[i];\n this.table[i] = [];\n if (currentBucket) {\n if (currentBucket.length > 0) {\n this.elements--;\n currentBucket.forEach(item => {\n this.add(item);\n });\n }\n }\n }\n }","function heapify(A, idx, max) {\n var largest = idx,\n left = 2 * idx + 1,\n right = 2 * idx + 2;\n\n if (left < max && A[left] > A[idx]) {\n largest = left;\n }\n if (right < max && A[right] > A[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n swap(A, idx, largest);\n heapify(A, largest, max);\n }\n}","function heapify (heap) {\n // Get the parent idx of the last node\n var start = iparent(heap.arr.length - 1)\n while (start >= 0) {\n siftDown(start, heap)\n start -= 1\n }\n return heap\n}","function heap(a, lo, hi) {\n\t var n = hi - lo,\n\t i = (n >>> 1) + 1;\n\t while (--i > 0) sift(a, i, n, lo);\n\t return a;\n\t }","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.minHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","function heap(compareFunction, array = []) {\n const data = array;\n const heapSort = ()=>{data.sort(compareFunction)};\n const add = function (node) {\n data.push(node);\n heapSort();\n };\n\n const remove = function () {\n const node = data.shift();\n return node;\n };\n\n const empty = function () {\n return data.length === 0;\n };\n const updateItems = function () {\n heapSort();\n };\n return {\n data: data,\n add: add,\n remove: remove,\n empty: empty,\n update: updateItems,\n };\n}","function MinPriorityQueue1(callbackObject) {\n //const queue = new MinMinPriorityQueue({ priority: x => x.val })\n this.custom = callbackObject;\n this.heap = [];\n}","constructor(){\n this.heap = [];\n this.count = 0;\n }","constructor(){\n this.heap = [];\n this.count = 0;\n }","function heapselect(a, lo, hi, k) {\n\t var queue = new Array(k = Math.min(hi - lo, k)),\n\t min,\n\t i,\n\t x,\n\t d;\n\n\t for (i = 0; i < k; ++i) queue[i] = a[lo++];\n\t heap(queue, 0, k);\n\n\t if (lo < hi) {\n\t min = f(queue[0]);\n\t do {\n\t if (x = f(d = a[lo]) > min) {\n\t queue[0] = d;\n\t min = f(heap(queue, 0, k)[0]);\n\t }\n\t } while (++lo < hi);\n\t }\n\n\t return queue;\n\t }","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","function heap(a, lo, hi) {\n var n = hi - lo,\n i = (n >>> 1) + 1;\n while (--i > 0) sift(a, i, n, lo);\n return a;\n }","enqueue(val, priority) {\n let node = new Node(val, priority);\n this.values.push(node);\n let idx = this.values.length - 1;\n while (idx > 0) {\n let parentIdx = Math.floor((idx - 1) / 2);\n if (this.values[parentIdx].priority > this.values[idx].priority) {\n let temp = this.values[parentIdx];\n this.values[parentIdx] = this.values[idx];\n this.values[idx] = temp;\n idx = parentIdx;\n parentIdx = Math.floor((idx - 1) / 2);\n } else break;\n }\n return this.values;\n }","removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","Dequeue() {\r\n if (this.heap.length == 0) return;\r\n const highestPriority = this.heap[0];\r\n const leastPriority = this.heap[this.heap.length - 1];\r\n //swap first and last priority\r\n this.heap[this.heap.length - 1] = highestPriority;\r\n this.heap[0] = leastPriority;\r\n this.heap.pop();\r\n let nodeIndex = 0; //sink down\r\n while (true) {\r\n const left = this.heap[2 * nodeIndex + 1];\r\n const right = this.heap[2 * nodeIndex + 2];\r\n const leastElement = this.heap[nodeIndex];\r\n if (\r\n right &&\r\n right.priority < left.priority &&\r\n right.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 2] = leastElement;\r\n this.heap[nodeIndex] = right;\r\n nodeIndex = 2 * nodeIndex + 2;\r\n } else if (\r\n left &&\r\n left.priority < right.priority &&\r\n left.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 1] = leastElement;\r\n this.heap[nodeIndex] = left;\r\n nodeIndex = 2 * nodeIndex + 1;\r\n } else {\r\n break;\r\n }\r\n }\r\n\r\n return highestPriority;\r\n }","function Heap(key) {\n this._array = [];\n this._key = key || function (x) { return x; };\n}","async function heapify(arr,length,i){\n chosen.style.color=\"black\";\n chosen.innerHTML=`Turning the remaining array into max heap...`;\n let largest=i;\n let left=i*2+1;\n let right=left+1;\n let rightBar=document.querySelector(`.bar${right}`);\n let leftBar=document.querySelector(`.bar${left}`);\n let iBar=document.querySelector(`.bar${i}`);\n await sleep(speed);\n iBar.style.backgroundColor=\"#3500d3\";//selected\n if (left<length)\n leftBar.style.backgroundColor=\"#f64c72\";//checking\n if (right<length)\n rightBar.style.backgroundColor=\"#f64c72\";//checking\n if (left<length && arr[left]>arr[largest])\n largest=left;\n if (right<length && arr[right]>arr[largest])\n largest=right;\n if(largest!=i){\n let largestBar=document.querySelector(`.bar${largest}`);\n iBar=document.querySelector(`.bar${i}`);\n [arr[largest],arr[i]]=[arr[i],arr[largest]];\n [largestBar.style.height,iBar.style.height]=[iBar.style.height,largestBar.style.height];\n [largestBar.innerHTML,iBar.innerHTML]=[iBar.innerHTML,largestBar.innerHTML];\n await sleep(speed);\n iBar.style.backgroundColor=\"#17a2b8\";//original\n leftBar.style.backgroundColor=\"#17a2b8\";//original\n rightBar.style.backgroundColor=\"#17a2b8\";//original\n\n await heapify(arr,length,largest);\n }\n iBar.style.backgroundColor=\"#17a2b8\";//original\n if (left<length)\n leftBar.style.backgroundColor=\"#17a2b8\";//original\n if (right<length)\n rightBar.style.backgroundColor=\"#17a2b8\";//original\n}","dequeue() {\n const [next] = this.values;\n this.values[0] = this.values.pop();\n let childLeft, childRight;\n let curr = 0;\n while (true) {\n let childLeftIdx = 2 * curr + 1;\n let childRightIdx = childLeft + 1;\n let swap = null;\n if (childLeftIdx < this.values.length) {\n childLeft = this.values[childLeftIdx];\n if (childLeft.priority > this.values[curr].priority) {\n swap = childLeft;\n }\n\n if (childRightIdx < this.values.length) {\n childRight = this.values[childRight];\n if (\n (swap === null &&\n childRight.priority < this.values[curr].priority) ||\n (swap !== null && childRight < childLeft.priority)\n ) {\n swap = childRightIdx;\n }\n }\n\n if (swap === null) break;\n const temp = this.values[curr];\n this.values[curr] = this.values[swap];\n this.values[swap] = temp;\n curr = swap;\n }\n }\n }"],"string":"[\n \"MinHeapify(index) {\\n let left = this.left(index);\\n let right = this.right(index);\\n let smallest = index;\\n if (left < this.size && this.data[left] < this.data[index]) smallest = left;\\n if (right < this.size && this.data[right] < this.data[smallest])\\n smallest = right;\\n if (smallest != index) {\\n let temp = this.data[index];\\n this.data[index] = this.data[smallest];\\n this.data[smallest] = temp;\\n this.MinHeapify(smallest);\\n }\\n }\",\n \"function MinHeap(){\\n\\tthis.maxIndex = -1;\\n\\tthis.arr = {};\\n}\",\n \"heapify() {\\n\\t\\t// last index is one less than the size\\n\\t\\tlet index = this.size() - 1;\\n\\n\\t\\t/*\\n Property of ith element in binary heap - \\n left child is at = (2*i)th position\\n right child is at = (2*i+1)th position\\n parent is at = floor(i/2)th position\\n */\\n\\n\\t\\t// converting entire array into heap from behind to front\\n\\t\\t// just like heapify function to create it MAX HEAP\\n\\t\\twhile (index > 0) {\\n\\t\\t\\t// pull out element from the array and find parent element\\n\\t\\t\\tlet element = this.heap[index],\\n\\t\\t\\t\\tparentIndex = Math.floor((index - 1) / 2),\\n\\t\\t\\t\\tparent = this.heap[parentIndex];\\n\\n\\t\\t\\t// if parent is greater or equal, its already a heap hence break\\n\\t\\t\\tif (parent[0] >= element[0]) break;\\n\\t\\t\\t// else swap the values as we're creating a max heap\\n\\t\\t\\tthis.heap[index] = parent;\\n\\t\\t\\tthis.heap[parentIndex] = element;\\n\\t\\t\\tindex = parentIndex;\\n\\t\\t}\\n\\t}\",\n \"function heapify(arr) {\\n if (arr.length < 1) return arr\\n for (let i = arr.length - 1; i >= 0; i--) {\\n minHeapify(arr, i)\\n }\\n return arr\\n}\",\n \"function minheap_insert(heap, new_element) \\n{\\n \\n var adj,temp;\\n heap.push(new_element);\\n for (adj=heap.length-1;adj>0;adj=Math.floor((adj-1)/2))\\n {\\n if (new_element < heap[Math.floor((adj-1)/2)]) // use to swap those two numbers\\n {\\n temp = new_element;\\n heap[adj] = heap[Math.floor((adj-1)/2)];\\n heap[Math.floor((adj-1)/2)] = temp; \\n }\\n }\\n return;\\n}\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"function MinHeap(array, comparator) {\\n\\n /**\\n * Storage for heap. \\n * @private\\n */\\n this.heap = array || new Array();\\n\\n /**\\n * Default comparator used if an override is not provided.\\n * @private\\n */\\n this.compare = comparator || function(item1, item2) {\\n return item1 == item2 ? 0 : item1 < item2 ? -1 : 1;\\n };\\n\\n /**\\n * Retrieve the index of the left child of the node at index i.\\n * @private\\n */\\n this.left = function(i) {\\n return 2 * i + 1;\\n };\\n /**\\n * Retrieve the index of the right child of the node at index i.\\n * @private\\n */\\n this.right = function(i) {\\n return 2 * i + 2;\\n };\\n /**\\n * Retrieve the index of the parent of the node at index i.\\n * @private\\n */\\n this.parent = function(i) {\\n return Math.ceil(i / 2) - 1;\\n };\\n\\n /**\\n * Ensure that the contents of the heap don't violate the \\n * constraint. \\n * @private\\n */\\n this.heapify = function(i) {\\n var lIdx = this.left(i);\\n var rIdx = this.right(i);\\n var smallest;\\n if (lIdx < this.heap.length\\n && this.compare(this.heap[lIdx], this.heap[i]) < 0) {\\n smallest = lIdx;\\n } else {\\n smallest = i;\\n }\\n if (rIdx < this.heap.length\\n && this.compare(this.heap[rIdx], this.heap[smallest]) < 0) {\\n smallest = rIdx;\\n }\\n if (i != smallest) {\\n var temp = this.heap[smallest];\\n this.heap[smallest] = this.heap[i];\\n this.heap[i] = temp;\\n this.heapify(smallest);\\n }\\n };\\n\\n /**\\n * Starting with the node at index i, move up the heap until parent value\\n * is less than the node.\\n * @private\\n */\\n this.siftUp = function(i) {\\n var p = this.parent(i);\\n if (p >= 0 && this.compare(this.heap[p], this.heap[i]) > 0) {\\n var temp = this.heap[p];\\n this.heap[p] = this.heap[i];\\n this.heap[i] = temp;\\n this.siftUp(p);\\n }\\n };\\n\\n /**\\n * Heapify the contents of an array.\\n * This function is called when an array is provided.\\n * @private\\n */\\n this.heapifyArray = function() {\\n // for loop starting from floor size/2 going up and heapify each.\\n var i = Math.floor(this.heap.length / 2) - 1;\\n for (; i >= 0; i--) {\\n // jstestdriver.console.log(\\\"i: \\\", i);\\n this.heapify(i);\\n }\\n };\\n\\n // If an initial array was provided, then heapify the array.\\n if (array != null) {\\n this.heapifyArray();\\n }\\n ;\\n}\",\n \"heapifyDown(){\\n let idx = 0,\\n element = this.values[idx],\\n swap,\\n leftChildIdx,\\n rightChildIdx,\\n leftChild,\\n rightChild;\\n while (true){\\n swap = null;\\n leftChildIdx = (2 * idx) + 1;\\n rightChildIdx = (2 * idx) + 2;\\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\\n swap = leftChildIdx\\n }\\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\\n swap = rightChildIdx;\\n }\\n if (swap === null) break;\\n this.values[idx] = this.values[swap];\\n this.values[swap] = element;\\n idx = swap; \\n } \\n }\",\n \"heapify(/*index*/ i) {\\n let l = this.left(i);\\n let r = this.right(i);\\n let biggest = i;\\n if (l < this.heap_size && this.harr[i].element.compareByMulKeys(this.harr[l].element, this.compareValues) == -1)\\n biggest = l;\\n if (r < this.heap_size && this.harr[biggest].element.compareByMulKeys(this.harr[r].element, this.compareValues) == -1)\\n biggest = r;\\n if (biggest != i) {\\n this.swap(this.harr, i, biggest);\\n this.heapify(biggest);\\n }\\n }\",\n \"min() {\\n return this.heap[1];\\n }\",\n \"function pq_insert(heap, new_element) {\\n var eIntIdx = heap.length;\\n var prntIdx = Math.floor((eIntIdx - 1 ) / 2);\\n heap.push(new_element);\\n var heaped = (eIntIdx <= 0) || (heap[prntIdx].priority <= heap[eIntIdx]).priority;\\n\\n while(!heaped){\\n var tmp = heap[prntIdx];\\n heap[prntIdx] = heap[eIntIdx];\\n heap[eIntIdx] = tmp;\\n\\n eIntIdx = prntIdx;\\n prntIdx = Math.floor((eIntIdx - 1)/2);\\n heaped = (eIntIdx <= 0) ||(heap[prntIdx].priority <= heap[eIntIdx].priority);\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"removeMin() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"function heapify(arr,comp){\\r\\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\\r\\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\\r\\n // Restore the heap property for i\\r\\n siftDown(arr, comp, i);\\r\\n }\\r\\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\\r\\n}\",\n \"function minheap_extract(heap) \\n{\\n var PrintE;\\n PrintE = heap[0];\\n heap[0] = heap[heap.length - 1];\\n\\n var a,large;\\n var temp = heap.pop();\\n for (a=0;a<heap.length;a=large)\\n {\\n if (2*a+2>heap.length)\\n {break;}\\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\\n {\\n if (heap[a]>heap[2*a+2])\\n {\\n temp = heap [a];\\n heap[a] = heap[2*a+2];\\n heap[2*a+2] = temp; \\n large = 2*a+2; \\n }\\n else\\n {break;}\\n }\\n else\\n {\\n if (heap[a]>heap[2*a+1])\\n {\\n temp = heap [2*a+1];\\n heap[2*a+1] = heap[a];\\n heap[a] = temp; \\n large = 2*a+1;\\n }\\n else\\n {break;}\\n }\\n }\\n return PrintE;\\n}\",\n \"extractMin() {\\n if (this.size <= 0) return;\\n if (this.size === 1) {\\n this.size--;\\n return this.data[0];\\n }\\n let root = this.data[0];\\n this.data[0] = this.data[this.size - 1];\\n this.size--;\\n this.MinHeapify(0);\\n return root;\\n }\",\n \"function minHeapify(heap, i) {\\n if (heap.length < 1) return\\n let left = 2 * i + 1\\n let right = 2 * i + 2\\n let smallest = i\\n if (left < heap.length && heap[left] < heap[smallest]) {\\n smallest = left\\n }\\n if (right < heap.length && heap[right] < heap[smallest]) {\\n smallest = right\\n }\\n if (smallest !== i) {\\n [heap[smallest], heap[i]] = swap(heap[smallest], heap[i])\\n minHeapify(heap, smallest)\\n }\\n}\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"function minheap_insert(heap, new_element) {\\n heap.push(new_element);\\n var index = heap.length - 1;\\n while(index > 0){\\n var parent = Math.floor((index+1)/2)-1;\\n if(heap[parent] > new_element){\\n var temp = heap[parent];\\n heap[parent] = new_element;\\n heap[index] = temp;\\n }\\n index = parent;\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"delMin() {\\n /*\\n * Save reference to the min key.\\n * Swap the min key with the last key in the heap.\\n * Decrement n so that the key does not swim back up the heap.\\n * Sink down the heap to fix any violations that have arisen.\\n * Delete the min key to prevent loitering, and return its reference.\\n */\\n let min = this.heap[1];\\n\\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\\n this.n--;\\n this.sink(1);\\n this.heap[this.n+1] = null;\\n\\n return min;\\n }\",\n \"function minheap_extract(heap) {\\n swap(heap,0,heap.length - 1);\\n var to_pop = heap.pop();\\n var parent = 0;\\n var child = parent * 2 + 1;\\n while(child < heap.length){\\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\\n child = child + 1;\\n }\\n if(heap[child] < heap[parent]){\\n swap(heap,child,parent);\\n parent = child;\\n child = parent * 2 + 1; \\n }\\n else{\\n break;\\n }\\n }\\n return to_pop;\\n // STENCIL: implement your min binary heap extract operation\\n}\",\n \"function minheap_insert(heap, new_element) {\\n var length = heap.push(new_element);\\n var child = length - 1;\\n var parent = (child + child%2)/2 - 1;\\n while(parent >= 0 && heap[child] < heap[parent]){\\n swap(heap,parent,child);\\n child = parent;\\n parent = (child + child%2)/2 - 1;\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"function MinHeap() {\\n\\n /**\\n * Insert an item into the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} x\\n */\\n this.insert = function(x) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:)\\n *\\n * @return{number}\\n */\\n this.peek = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Remove and return the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.pop = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the size of the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.size = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Convert the heap data into a string\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{string}\\n */\\n MinHeap.prototype.toString = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /*\\n * The following are some optional helper methods. These are not required\\n * but may make your life easier\\n */\\n\\n /**\\n * Get the index of the parent node of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var parent = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the index of the left child of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var leftChild = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Swap the values at 2 indices in our heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @param{number} j\\n */\\n var swap = function(i, j) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble up the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleUp = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble down the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleDown = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n}\",\n \"function minheap_extract(heap) {\\n var min = heap[0];\\n heap[0] = heap.pop();\\n var index = 0;\\n while(true){\\n var child1 = (index+1)*2;\\n var child2 = child1 -1;\\n var toSwap = null;\\n if(heap[index] > heap[child1]){\\n toSwap = child1;\\n }\\n if(heap[index] > heap[child2] &&\\n (heap[child1] == null || (heap[child1] !== null && heap[child2] < heap[child1]))){\\n toSwap = child2;\\n }\\n if(toSwap == null){\\n break;\\n }\\n var temp = heap[toSwap];\\n heap[toSwap] = heap[index];\\n heap[index] = temp;\\n index = toSwap;\\n }\\n return min;\\n // STENCIL: implement your min binary heap extract operation\\n}\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"function heapSort(array){\\n let heapify = new MinHeap;\\n let sortedArray = [];\\n let length = array.length;\\n\\n for(let i = 0; i < length; i++){\\n heapify.add(array.pop());\\n }\\n\\n for(let j = 0; j < length; j++){\\n sortedArray.push(heapify.extract());\\n }\\n\\n return sortedArray;\\n}\",\n \"function heapSortV2(array) {\\n\\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\\n heapify(array, array.length, i); // array length not really used for this part\\n }\\n\\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \\\"delete\\\" max val until heap region is \\\"empty\\\"\\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\\n\\n console.log(array);\\n\\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\\n }\\n\\n return array;\\n}\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"insert(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tif (size === 0) {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\r\\n\\t\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\t\\tthis.minHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function minHeap(arr){\\r\\n\\tfor(var i=Math.floor(arr.length/2); i >= 0; i--){\\r\\n\\t\\tminHeapafiy(arr, i)\\r\\n\\t}\\r\\n\\treturn arr\\r\\n}\",\n \"function _adjustHeap (arr) {\\n var i = parseInt(arr.length / 2) - 1;\\n\\n while (i >= 0) {\\n if (arr[i] < arr[2 * i + 1] || arr[i] < arr[2 * i + 2]) {\\n if (arr[2 * i + 1] < arr[2 * i + 2]) {\\n arr[2 * i + 2] = [arr[i], arr[i] = arr[2 * i + 2]][0];\\n } else {\\n arr[2 * i + 1] = [arr[i], arr[i] = arr[2 * i + 1]][0];\\n }\\n _adjustHeap(arr);\\n }\\n i--;\\n };\\n }\",\n \"function heapifyStandart(currentIndex, heapSize ,arr){\\n\\n var largestElement = currentIndex\\n var leftIndex = 2 * currentIndex + 1\\n var rightIndex = 2 * currentIndex + 2\\n\\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\\n largestElement = leftIndex\\n }\\n \\n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\\n largestElement = rightIndex\\n }\\n\\n if (largestElement != currentIndex){\\n swapArrayElement(currentIndex, largestElement, arr)\\n heapifyStandart(largestElement, heapSize, arr)\\n }\\n}\",\n \"function minHeapCompFunction(value1, value2)\\r\\n{\\r\\n /*\\r\\n this function checks if the value1 is in the right position\\r\\n and the developer have to use to make sure that the min heap invarient is holding or not \\r\\n */\\r\\n\\r\\n if(value1 < value2)\\r\\n return true;\\r\\n\\r\\n return false; // for = and >\\r\\n}\",\n \"function heapSort(input) {\\n // inplace sorting algorithm\\n // iterate from the middle and go to the first element and heapify at each position\\n let middleElement = Math.ceil(input.length / 2);\\n\\n for (let i = middleElement; i >= 0; i--) {\\n heapify(i, input.length - 1, input);\\n }\\n\\n let lastElement = input.length - 1;\\n for (let i = 0; i <= lastElement; i++) {\\n let temp = input[lastElement - i];\\n input[lastElement - i] = input[0];\\n input[0] = temp;\\n heapify(0, lastElement - i - 1, input);\\n }\\n // console.log(\\\"sorted\\\");\\n // console.log(input);\\n}\",\n \"function extractMin(heap) {\\n if (heap.length < 1) return null\\n // swap first and last element\\n let temp = heap[0]\\n heap[0] = heap[heap.length-1]\\n heap[heap.length-1] = temp\\n\\n const result = heap.pop()\\n minHeapify(heap, 0)\\n return result\\n}\",\n \"grow() {\\n this.capacity *= 2;\\n this.capacity = this.closestLargestPrime(this.capacity);\\n for (let i = 0; i < this.table.length; i++) {\\n let currentBucket = this.table[i];\\n this.table[i] = [];\\n if (currentBucket) {\\n if (currentBucket.length > 0) {\\n this.elements--;\\n currentBucket.forEach(item => {\\n this.add(item.key, item.value);\\n });\\n }\\n }\\n }\\n }\",\n \"constructor(/*MinHeapNode[]*/ a, /*int*/ size, compareValues) {\\n super(a, size, compareValues);\\n let i = (this.heap_size - 1)/2;\\n while (i >= 0) {\\n this.heapify(i);\\n i--;\\n }\\n }\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"async function heapSortAux(array) { \\n const len = array.length;\\n // Build heap (rearrange array) \\n for (let i = Math.floor(len / 2) - 1; i >= 0; i--) { \\n await heapify(array, len, i); \\n }\\n \\n // One by one extract an element from heap \\n for (let i = len-1; i > 0; i--) { \\n array[0].style.backgroundColor = bar_colours.selectedColour2;\\n array[i].style.backgroundColor = bar_colours.selectedColour;\\n await new Promise(resolve =>\\n setTimeout(() => {\\n resolve();\\n }, delay)\\n );\\n // Move current root to end \\n await swap(array, 0, i); \\n array[i].style.backgroundColor = bar_colours.doneColour;\\n array[0].style.backgroundColor = bar_colours.initColour;\\n\\n \\n \\n // call max heapify on the reduced heap \\n await heapify(array, i, 0); \\n } \\n }\",\n \"insert(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tif (size === 0) {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\r\\n\\t\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"min() {\\n if (this.heap.length == 0)\\n throw Error(\\\"Heap is empty\\\");\\n\\n return this.heap[0];\\n }\",\n \"heapifyToBottom(index) {\\n let smallest = index;\\n const child1 = index * 2 + 1;\\n const child2 = index * 2 + 2;\\n if (this.compare(child1, smallest) < 0) {\\n smallest = child1;\\n }\\n if (this.compare(child2, smallest) < 0) {\\n smallest = child2;\\n }\\n //swap with smaller child if either child is smaller than parent\\n if (index !== smallest) {\\n utility_1.default.swap(this._nodes, index, smallest);\\n this.heapifyToBottom(smallest);\\n }\\n }\",\n \"heapDown(index) {\\n const [leftIndex, rightIndex] = this.children(index);\\n \\n if (!leftIndex && !rightIndex) return;\\n\\n let min;\\n rightIndex ? min = rightIndex : min = leftIndex;\\n if ((leftIndex && rightIndex) &&\\n this.store[leftIndex].key < this.store[rightIndex].key) {\\n min = leftIndex;\\n }\\n\\n if (this.store[index].key > this.store[min].key) {\\n this.swap(index, min);\\n this.heapDown(min);\\n }\\n }\",\n \"function setupHeap(lists) {\\n var heap = new MinHeap();\\n for (var i = 0; i < lists.length; i++) {\\n var node = new ListNode(lists[i][0], lists[i][1]);\\n heap.insert(node);\\n }\\n return heap;\\n}\",\n \"heapifyUp(customStartIndex) {\\n // Take the last element (last in array or the bottom left in a tree)\\n // in the heap container and lift it up until it is in the correct\\n // order with respect to its parent element.\\n let currentIndex = customStartIndex || this.heapContainer.length - 1;\\n\\n while (\\n this.hasParent(currentIndex) &&\\n !(this.parent(currentIndex) <= this.heapContainer[currentIndex])\\n ) {\\n this.swap(currentIndex, this.getParentIndex(currentIndex));\\n currentIndex = this.getParentIndex(currentIndex);\\n }\\n }\",\n \"function heapSort(inputArr){\\n var heap = new Heap;\\n for(i=0; i<inputArr.length; i++){\\n heap.add(inputArr[i])\\n }\\n var outputArr = []\\n for(i=0; i<inputArr.length; i++){\\n outputArr.push(heap.remove())\\n }\\n console.log(outputArr)\\n return outputArr\\n}\",\n \"function heapSortInPlace(array){\\n for(let i = 1; i < array.length; i++){\\n MaxHeap.heapifyUp(array, i);\\n }\\n\\n let temp;\\n for(let j = array.length - 1; 0 < j; j--){\\n temp = array[0];\\n array[0] = array[j];\\n array[j] = temp;\\n\\n // j is the length of array\\n MaxHeap.heapifyDown(array, 0, j);\\n }\\n\\n return array;\\n}\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\",\n \"function heapify(currentIndex, arr){\\n\\n if (isHavingChildrenLeft(currentIndex, arr)) {\\n let parent = arr[currentIndex]\\n\\n if (isHavingChildrenRight(currentIndex, arr)){\\n let maxChildren = Math.max(arr[currentIndex * 2 + 1], arr[currentIndex * 2 + 2])\\n if (parent < maxChildren){\\n let maxChilrenIndex = maxChildren == arr[currentIndex * 2 + 1] ? currentIndex * 2 + 1 : currentIndex * 2 + 2 \\n swapArrayElement(currentIndex, maxChilrenIndex, arr)\\n heapify(maxChilrenIndex, arr)\\n }\\n }else {\\n if (parent < arr[currentIndex * 2 + 1]){\\n swapArrayElement(currentIndex, currentIndex * 2 + 1, arr)\\n heapify(currentIndex * 2 + 1, arr)\\n }\\n }\\n }else {\\n console.log(\\\"skipping index %d\\\", currentIndex)\\n }\\n}\",\n \"function heapSort(arr){\\n var sorted = [];\\n var heap1 = new MaxHeap();\\n \\n for(let i=0; i<arr.length; i++){\\n heap1.insert(arr[i]);\\n }\\n \\n for(let i=0; i<arr.length; i++){\\n sorted.push(heap1.delete());\\n }\\n return sorted;\\n}\",\n \"function heapify(array, size, i) {\\n let max = i // initialize max as root\\n let left = 2 * i + 1\\n let right = 2 * i + 2\\n \\n // if left child is larger than root\\n if (left < size && array[left] > array[max])\\n max = left\\n \\n // if right child is larger than max\\n if (right < size && array[right] > array[max])\\n max = right\\n \\n // if max is not root\\n if (max != i) {\\n // swap\\n let temp = array[i]\\n array[i] = array[max]\\n array[max] = temp\\n \\n // recursively heapify the affected sub-tree\\n heapify(array, size, max)\\n }\\n }\",\n \"heapSort(start, length) {\\n this.heapify(start, length);\\n\\n for (let i = length - start; i > 1; i--) {\\n this.Writes.swap(start, start + i - 1);\\n this.siftDown(1, i - 1, start);\\n }\\n\\n // if(!isMax) {\\n // this.Writes.reversal(arr, start, start + length - 1, 1, true, false);\\n // }\\n}\",\n \"function heapSort(arr,comp){\\r\\n // Turn arr into a heap\\r\\n heapify(arr,comp);\\r\\n for(let i = arr.length-1; i > 0; i--){\\r\\n // The 0th element of a heap is the largest so move it to the top.\\r\\n [arr[0],arr[i]] = [arr[i],arr[0]];\\r\\n // The 0th element is no longer the largest; restore the heap property\\r\\n siftDown(arr,comp,0);\\r\\n }\\r\\n}\",\n \"heapifyToTop(index) {\\n while (index > 0) {\\n const parent = Math.floor((index - 1) / 2);\\n if (this.compare(index, parent) >= 0) {\\n break;\\n }\\n //swap with parent node while current node is smaller\\n utility_1.default.swap(this._nodes, index, parent);\\n index = parent;\\n }\\n }\",\n \"enqueue(value, priority) {\\n const newEntry = new Entry(value, priority);\\n this.values.push(newEntry);\\n let curr = this.values.length - 1;\\n let parent = Math.floor((curr - 1) / 2);\\n while (\\n curr > 0 &&\\n this.values[parent].priority > this.values[curr].priority\\n ) {\\n const temp = this.values[parent];\\n this.values[parent] = this.values[curr];\\n this.values[curr] = temp;\\n curr = parent;\\n parent = Math.floor((curr - 1) / 2);\\n }\\n }\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"extractMin() {\\r\\n\\t\\tconst min = this.heap[0];\\r\\n\\t\\tthis.remove(min);\\r\\n\\t\\treturn min;\\r\\n\\t}\",\n \"heapify(currentParent) {\\n let left = this.left(currentParent);\\n let right = this.right(currentParent);\\n let bestParent = currentParent;\\n\\n // looking for the best parent that fulfills the heap property for this node and it's children\\n if (left < this.size && !this.validParent(left, bestParent)) {\\n bestParent = left;\\n }\\n if (right < this.size && !this.validParent(right, bestParent)) {\\n bestParent = right;\\n }\\n\\n // if the current parent is not the best parent, we have some work to do\\n if (currentParent != bestParent) {\\n // swapping new parent with old parent\\n let currentParentValue = this.heap[currentParent];\\n this.heap[currentParent] = this.heap[bestParent];\\n this.heap[bestParent] = currentParentValue;\\n\\n // set locations on the swap\\n this.locations.set(this.hash(this.heap[bestParent]), bestParent);\\n this.locations.set(this.hash(this.heap[currentParent]), currentParent);\\n\\n // recurse from the best parent's old position\\n this.heapify(bestParent);\\n }\\n }\",\n \"function heapify(array, size, i, animations)\\n{\\n let root = i;\\n let left = 2 * i + 1;\\n let right = 2 * i + 2;\\n if(left < size && array[left] > array[root])\\n {\\n animations.push([root, left, false]);\\n animations.push([root, left, false]);\\n root = left;\\n }\\n if(right < size && array[right] > array[root])\\n {\\n animations.push([root, right, false]);\\n animations.push([root, right, false]);\\n root = right;\\n }\\n //Root has changed because i was not the root\\n if(root != i)\\n {\\n animations.push([root, array[i], true]);\\n animations.push([i, array[root], true]);\\n //If root is not i, then swap the values, call heapify recursively\\n swap(array, root, i);\\n heapify(array, size, root, animations);\\n }\\n}\",\n \"heapify(/*index*/ i) {\\n // this is a stub\\n }\",\n \"function heapSort(array){\\n // 1: Construction\\n let heap = new MaxHeap()\\n array.forEach(ele => {\\n heap.insert(ele)\\n });\\n\\n// 2: sortdown \\n let sorted = []\\n while (heap.array.length > 1){\\n sorted.push(heap.deleteMax())\\n }\\n return sorted\\n}\",\n \"insert_num(num) {\\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\\n this.maxHeap.insert(num);\\n } else {\\n this.minHeap.insert(num);\\n }\\n\\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\\n this.minHeap.insert(this.maxHeap.extractMax());\\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\\n this.maxHeap.insert(this.minHeap.remove());\\n }\\n }\",\n \"_heapifyUp(startIndex) {\\n let childIndex = startIndex;\\n let parentIndex = Math.floor((childIndex - 1) / 2);\\n\\n while (this._shouldSwap(parentIndex, childIndex)) {\\n this._swap(parentIndex, childIndex);\\n childIndex = parentIndex;\\n parentIndex = Math.floor((childIndex - 1) / 2);\\n }\\n }\",\n \"function PriorityQueue (priorityAttribute) {\\n\\n this.nodeList = []\\n this.priorityAttribute = priorityAttribute; //for graph it is destanceFromBegining\\n\\n this.insert = function (node){\\n this.nodeList.push(node);\\n }\\n\\n // return 1 if first > second\\n // return 0 if first = second\\n // return -1 if first < second\\n var sign = function(x){\\n if(x > 0) return 1;\\n if(x < 0) return -1;\\n return 0;\\n }\\n\\n var compare = function(first, second){\\n\\n if(first === undefined || second === undefined)\\n throw new UnexpectedInternalError(\\\"Illegal argument exception: arguments of compare cannot be undefined\\\")\\n\\n if (first === \\\"infinity\\\") {\\n if (second === \\\"infinity\\\") {\\n return 0;\\n } else {\\n return 1;\\n }\\n } else {\\n if (second === \\\"infinity\\\") {\\n return -1;\\n } else {\\n sign(first - second) ;\\n }\\n }\\n\\n }\\n\\n this.extractMin = function () {\\n if(this.nodeList.length === 0) return \\\"empty\\\";\\n\\n var indexOfMin = 0;\\n for(var i = 0; i < this.nodeList.length; i++){\\n if( compare(this.nodeList[i][this.priorityAttribute], this.nodeList[indexOfMin][this.priorityAttribute]) === -1 )\\n indexOfMin = i;\\n }\\n\\n var min = this.nodeList[indexOfMin];\\n this.nodeList.splice(indexOfMin, 1);\\n return min;\\n }\\n\\n this.decreaseKey = function (node, key) {\\n if(node[this.priorityAttribute] < key)\\n throw new UnexpectedInternalError(\\\"Given key: \\\" + key + \\\" is greater than current key of given node:\\\" + node[this.priorityAttribute])\\n\\n node[this.priorityAttribute] = key;\\n }\\n\\n this.isEmpty = function (){\\n return this.nodeList.length === 0;\\n }\\n\\n this.isNotEmpty = function () {\\n return this.nodeList.length !== 0;\\n }\\n}\",\n \"insert(value, priority) {\\n var node = new Node(value, priority);\\n\\n this.heap.push(node);\\n\\n let currentNodeIdx = this.heap.length - 1;\\n let currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\\n\\n while (\\n this.heap[currentNodeParentIdx] &&\\n priority > this.heap[currentNodeParentIdx].priority\\n ) {\\n const parent = this.heap[currentNodeParentIdx]; // swap\\n this.heap[currentNodeParentIdx] = node;\\n this.heap[currentNodeIdx] = parent;\\n\\n currentNodeIdx = currentNodeParentIdx; // update pointers\\n currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\\n }\\n }\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function Heap()\\n{\\n\\t// h[0] not used, heap initially empty\\n\\n\\tthis.h = [null]; // heap of integer keys\\n\\tthis.h_item = [null]; // corresponding heap of data-items (any object)\\n\\tthis.size = 0; // 1 smaller than array (also index of last child)\\n\\n\\n\\t// --------------------\\n\\t// PQ-required only; more could be added later when needed\\n\\t// the 2 basic shape maintaining operations heapify and reheapify simplify\\n\\t// processing functions\\n\\n\\tthis.isEmpty = heapisEmpty; // return true if heap empty\\n\\tthis.deleteRoot = heapDeleteRoot; // return data-item in root\\n\\tthis.insert = heapInsert; // insert data-item with key\\n\\n\\tthis.heapify = heapheapify; // make subtree heap; top-down heapify (\\\"sink\\\") used by .deleteRoot()\\n\\tthis.reheapify = heapreheapify; // bottom-up reheapify (\\\"swim\\\") used by .insert()\\n\\tthis.show = heapShow; \\t // utility: return pretty formatted heap as string\\n\\t \\t // ... etc\\n\\n\\t// --------------------\\n}\",\n \"function PriorityQueue() {\\n this.heap = [];\\n this.size = 0;\\n}\",\n \"function make_heap_obj(node1_id, node2_id, weight) {\\n return [node1_id, node2_id, weight];\\n }\",\n \"buildHeap(left, right) {\\r\\n var x = this.values[left];\\r\\n var i = left;\\r\\n\\r\\n while(true) {\\r\\n let j = 2 * i;\\r\\n if (j > right) break;\\r\\n if ((j < right) && (Item.compare(this.values[j + 1], this.values[j]) >= 0)) {\\r\\n j++;\\r\\n }\\r\\n\\r\\n if (Item.compare(x, this.values[j]) >= 0) break;\\r\\n let temp = this.values[i];\\r\\n this.values[i] = this.values[j];\\r\\n this.values[j] = temp;\\r\\n\\r\\n this.values[i].selected = true;\\r\\n this.printStorage.pushTimedPrint(this.values);\\r\\n this.values[i].selected = false;\\r\\n i = j;\\r\\n }\\r\\n\\r\\n this.values[i] = x;\\r\\n\\r\\n this.values[i].selected = true;\\r\\n this.printStorage.pushTimedPrint(this.values);\\r\\n this.values[i].selected = false;\\r\\n }\",\n \"extract(withPriority) {\\n if (this.isEmpty()) return;\\n let _minPriorityItem = this._elementHeap[0];\\n let _minPriority = this._priorityHeap[0];\\n this._swap(0, this._size - 1);\\n this._elementHeap.splice(-1, 1);\\n this._priorityHeap.splice(-1, 1);\\n delete this._indexLookup[_minPriorityItem];\\n this._size--;\\n\\n this._fixBottomHeap(0);\\n return withPriority\\n ? _minPriorityItem && { item: _minPriorityItem, priority: _minPriority }\\n : _minPriorityItem;\\n }\",\n \"function buildHeap(A) {\\n var n = A.length;\\n for (var i = n/2 - 1; i >= 0; i--) {\\n heapify(A, i, n);\\n }\\n}\",\n \"heapifyDown(customStartIndex = 0) {\\n // Compare the parent element to its children and swap parent with the appropriate\\n // child (smallest child for MinHeap, largest child for MaxHeap).\\n // Do the same for next children after swap.\\n let currentIndex = customStartIndex;\\n let nextIndex = null;\\n\\n while (this.hasLeftChild(currentIndex)) {\\n if (\\n this.hasRightChild(currentIndex) &&\\n this.rightChild(currentIndex) <= this.leftChild(currentIndex)\\n ) {\\n nextIndex = this.getRightChildIndex(currentIndex);\\n } else {\\n nextIndex = this.getLeftChildIndex(currentIndex);\\n }\\n\\n if (this.heapContainer[currentIndex] <= this.heapContainer[nextIndex]) {\\n break;\\n }\\n\\n this.swap(currentIndex, nextIndex);\\n currentIndex = nextIndex;\\n }\\n }\",\n \"function SimpleHeap(f) {\\n var data = [];\\n\\n // By default just use standard comparison\\n var compareFunc = f;\\n if (!compareFunc) {\\n compareFunc = function(a,b) {\\n if (a < b) return -1;\\n return 1;\\n }\\n }\\n\\n this.insert = function(x) {\\n data.push(x);\\n data.sort(compareFunc);\\n }\\n\\n this.pop = function() {\\n return data.pop();\\n }\\n\\n this.peek = function() {\\n return data[data.length - 1];\\n }\\n\\n this.size = function() {\\n return data.length;\\n }\\n\\n SimpleHeap.prototype.toString = function() {\\n return data.toString();\\n }\\n}\",\n \"function heapify(array, n, i) {\\n let leftIdx = 2 * i + 1; // 1) grab left/right indices/values of current val/node\\n let rightIdx = 2 * i + 2; // root index is now 0 instead of 1 (no null placeholder)\\n let leftVal = array[leftIdx];\\n let rightVal = array[rightIdx];\\n\\n if (leftIdx >= n) leftVal = -Infinity; // 2) set left/right val to -infinity if we're out of array bounds (determined by n)\\n if (rightIdx >= n) rightVal = -Infinity;\\n\\n if (array[i] > leftVal && array[i] > rightVal) return; // 3) exit if current val > both children\\n\\n let swapIdx;\\n if (leftVal < rightVal) { // 4) determine index to swap current value with\\n swapIdx = rightIdx;\\n } else {\\n swapIdx = leftIdx;\\n }\\n\\n [array[i], array[swapIdx]] = [array[swapIdx], array[i]]; // 5) swap current val w/ larger of two children\\n\\n heapify(array, n, swapIdx); // 6) recursively siftDown/heapify until maxHeap property met\\n}\",\n \"function buildHeap(arr, type) {\\n // gets the last index\\n var lastIndex = arr.length - 1;\\n // While the last index is greater than 0\\n while (lastIndex > 0) {\\n // get the parent index\\n var parentIndex = Math.floor((lastIndex - 1) / 2);\\n // get the items inside the parent\\n // and the last index \\n var lastItem = arr[lastIndex];\\n var parentItem = arr[parentIndex];\\n\\n if (type === 'maxHeap') {\\n // checks to see if the lastItem is greater\\n // than the parentItem if so then do a swap\\n if (lastItem > parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n else if (type === 'minHeap') {\\n // checks to see if the lastItem is less\\n // than the parentItem if so then do a swap\\n if (lastItem < parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n\\n }\\n }\",\n \"grow() {\\n this.capacity *= 2;\\n this.capacity = this.closestLargestPrime(this.capacity);\\n for (let i = 0; i < this.table.length; i++) {\\n let currentBucket = this.table[i];\\n this.table[i] = [];\\n if (currentBucket) {\\n if (currentBucket.length > 0) {\\n this.elements--;\\n currentBucket.forEach(item => {\\n this.add(item);\\n });\\n }\\n }\\n }\\n }\",\n \"function heapify(A, idx, max) {\\n var largest = idx,\\n left = 2 * idx + 1,\\n right = 2 * idx + 2;\\n\\n if (left < max && A[left] > A[idx]) {\\n largest = left;\\n }\\n if (right < max && A[right] > A[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n swap(A, idx, largest);\\n heapify(A, largest, max);\\n }\\n}\",\n \"function heapify (heap) {\\n // Get the parent idx of the last node\\n var start = iparent(heap.arr.length - 1)\\n while (start >= 0) {\\n siftDown(start, heap)\\n start -= 1\\n }\\n return heap\\n}\",\n \"function heap(a, lo, hi) {\\n\\t var n = hi - lo,\\n\\t i = (n >>> 1) + 1;\\n\\t while (--i > 0) sift(a, i, n, lo);\\n\\t return a;\\n\\t }\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.minHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function heap(compareFunction, array = []) {\\n const data = array;\\n const heapSort = ()=>{data.sort(compareFunction)};\\n const add = function (node) {\\n data.push(node);\\n heapSort();\\n };\\n\\n const remove = function () {\\n const node = data.shift();\\n return node;\\n };\\n\\n const empty = function () {\\n return data.length === 0;\\n };\\n const updateItems = function () {\\n heapSort();\\n };\\n return {\\n data: data,\\n add: add,\\n remove: remove,\\n empty: empty,\\n update: updateItems,\\n };\\n}\",\n \"function MinPriorityQueue1(callbackObject) {\\n //const queue = new MinMinPriorityQueue({ priority: x => x.val })\\n this.custom = callbackObject;\\n this.heap = [];\\n}\",\n \"constructor(){\\n this.heap = [];\\n this.count = 0;\\n }\",\n \"constructor(){\\n this.heap = [];\\n this.count = 0;\\n }\",\n \"function heapselect(a, lo, hi, k) {\\n\\t var queue = new Array(k = Math.min(hi - lo, k)),\\n\\t min,\\n\\t i,\\n\\t x,\\n\\t d;\\n\\n\\t for (i = 0; i < k; ++i) queue[i] = a[lo++];\\n\\t heap(queue, 0, k);\\n\\n\\t if (lo < hi) {\\n\\t min = f(queue[0]);\\n\\t do {\\n\\t if (x = f(d = a[lo]) > min) {\\n\\t queue[0] = d;\\n\\t min = f(heap(queue, 0, k)[0]);\\n\\t }\\n\\t } while (++lo < hi);\\n\\t }\\n\\n\\t return queue;\\n\\t }\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"function heap(a, lo, hi) {\\n var n = hi - lo,\\n i = (n >>> 1) + 1;\\n while (--i > 0) sift(a, i, n, lo);\\n return a;\\n }\",\n \"enqueue(val, priority) {\\n let node = new Node(val, priority);\\n this.values.push(node);\\n let idx = this.values.length - 1;\\n while (idx > 0) {\\n let parentIdx = Math.floor((idx - 1) / 2);\\n if (this.values[parentIdx].priority > this.values[idx].priority) {\\n let temp = this.values[parentIdx];\\n this.values[parentIdx] = this.values[idx];\\n this.values[idx] = temp;\\n idx = parentIdx;\\n parentIdx = Math.floor((idx - 1) / 2);\\n } else break;\\n }\\n return this.values;\\n }\",\n \"removeMax() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"Dequeue() {\\r\\n if (this.heap.length == 0) return;\\r\\n const highestPriority = this.heap[0];\\r\\n const leastPriority = this.heap[this.heap.length - 1];\\r\\n //swap first and last priority\\r\\n this.heap[this.heap.length - 1] = highestPriority;\\r\\n this.heap[0] = leastPriority;\\r\\n this.heap.pop();\\r\\n let nodeIndex = 0; //sink down\\r\\n while (true) {\\r\\n const left = this.heap[2 * nodeIndex + 1];\\r\\n const right = this.heap[2 * nodeIndex + 2];\\r\\n const leastElement = this.heap[nodeIndex];\\r\\n if (\\r\\n right &&\\r\\n right.priority < left.priority &&\\r\\n right.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 2] = leastElement;\\r\\n this.heap[nodeIndex] = right;\\r\\n nodeIndex = 2 * nodeIndex + 2;\\r\\n } else if (\\r\\n left &&\\r\\n left.priority < right.priority &&\\r\\n left.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 1] = leastElement;\\r\\n this.heap[nodeIndex] = left;\\r\\n nodeIndex = 2 * nodeIndex + 1;\\r\\n } else {\\r\\n break;\\r\\n }\\r\\n }\\r\\n\\r\\n return highestPriority;\\r\\n }\",\n \"function Heap(key) {\\n this._array = [];\\n this._key = key || function (x) { return x; };\\n}\",\n \"async function heapify(arr,length,i){\\n chosen.style.color=\\\"black\\\";\\n chosen.innerHTML=`Turning the remaining array into max heap...`;\\n let largest=i;\\n let left=i*2+1;\\n let right=left+1;\\n let rightBar=document.querySelector(`.bar${right}`);\\n let leftBar=document.querySelector(`.bar${left}`);\\n let iBar=document.querySelector(`.bar${i}`);\\n await sleep(speed);\\n iBar.style.backgroundColor=\\\"#3500d3\\\";//selected\\n if (left<length)\\n leftBar.style.backgroundColor=\\\"#f64c72\\\";//checking\\n if (right<length)\\n rightBar.style.backgroundColor=\\\"#f64c72\\\";//checking\\n if (left<length && arr[left]>arr[largest])\\n largest=left;\\n if (right<length && arr[right]>arr[largest])\\n largest=right;\\n if(largest!=i){\\n let largestBar=document.querySelector(`.bar${largest}`);\\n iBar=document.querySelector(`.bar${i}`);\\n [arr[largest],arr[i]]=[arr[i],arr[largest]];\\n [largestBar.style.height,iBar.style.height]=[iBar.style.height,largestBar.style.height];\\n [largestBar.innerHTML,iBar.innerHTML]=[iBar.innerHTML,largestBar.innerHTML];\\n await sleep(speed);\\n iBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n leftBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n rightBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n\\n await heapify(arr,length,largest);\\n }\\n iBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n if (left<length)\\n leftBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n if (right<length)\\n rightBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n}\",\n \"dequeue() {\\n const [next] = this.values;\\n this.values[0] = this.values.pop();\\n let childLeft, childRight;\\n let curr = 0;\\n while (true) {\\n let childLeftIdx = 2 * curr + 1;\\n let childRightIdx = childLeft + 1;\\n let swap = null;\\n if (childLeftIdx < this.values.length) {\\n childLeft = this.values[childLeftIdx];\\n if (childLeft.priority > this.values[curr].priority) {\\n swap = childLeft;\\n }\\n\\n if (childRightIdx < this.values.length) {\\n childRight = this.values[childRight];\\n if (\\n (swap === null &&\\n childRight.priority < this.values[curr].priority) ||\\n (swap !== null && childRight < childLeft.priority)\\n ) {\\n swap = childRightIdx;\\n }\\n }\\n\\n if (swap === null) break;\\n const temp = this.values[curr];\\n this.values[curr] = this.values[swap];\\n this.values[swap] = temp;\\n curr = swap;\\n }\\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.720125","0.7082232","0.7045268","0.69386554","0.68683213","0.6864061","0.68334186","0.68217164","0.6809871","0.67274594","0.67023855","0.6699346","0.6672485","0.66363895","0.6628925","0.6590176","0.6588476","0.6567027","0.6564876","0.653676","0.65211815","0.649338","0.64909035","0.6463096","0.6407627","0.6386017","0.6386017","0.6385183","0.63187104","0.631835","0.631835","0.63048416","0.62806743","0.6261122","0.6251233","0.62456954","0.6230704","0.6219071","0.6208013","0.6192798","0.61862266","0.61652976","0.61474544","0.6141955","0.61409783","0.61389416","0.6131193","0.61283755","0.61264163","0.6125361","0.61123514","0.6095849","0.6083901","0.6071642","0.6066561","0.6057717","0.60541564","0.60473233","0.60388035","0.60330087","0.6021238","0.60139585","0.60101914","0.60043067","0.60002095","0.598465","0.5981522","0.59768766","0.5972501","0.5972501","0.5972501","0.5972501","0.5966148","0.5963891","0.5962933","0.59586734","0.59554327","0.59478796","0.5943007","0.5923135","0.59227353","0.5917463","0.59136903","0.59008574","0.5895987","0.58927876","0.5888963","0.5865332","0.58562005","0.58514136","0.58514136","0.58477986","0.58385015","0.5836426","0.5833425","0.5831046","0.5823886","0.5787796","0.5786389","0.5770568"],"string":"[\n \"0.720125\",\n \"0.7082232\",\n \"0.7045268\",\n \"0.69386554\",\n \"0.68683213\",\n \"0.6864061\",\n \"0.68334186\",\n \"0.68217164\",\n \"0.6809871\",\n \"0.67274594\",\n \"0.67023855\",\n \"0.6699346\",\n \"0.6672485\",\n \"0.66363895\",\n \"0.6628925\",\n \"0.6590176\",\n \"0.6588476\",\n \"0.6567027\",\n \"0.6564876\",\n \"0.653676\",\n \"0.65211815\",\n \"0.649338\",\n \"0.64909035\",\n \"0.6463096\",\n \"0.6407627\",\n \"0.6386017\",\n \"0.6386017\",\n \"0.6385183\",\n \"0.63187104\",\n \"0.631835\",\n \"0.631835\",\n \"0.63048416\",\n \"0.62806743\",\n \"0.6261122\",\n \"0.6251233\",\n \"0.62456954\",\n \"0.6230704\",\n \"0.6219071\",\n \"0.6208013\",\n \"0.6192798\",\n \"0.61862266\",\n \"0.61652976\",\n \"0.61474544\",\n \"0.6141955\",\n \"0.61409783\",\n \"0.61389416\",\n \"0.6131193\",\n \"0.61283755\",\n \"0.61264163\",\n \"0.6125361\",\n \"0.61123514\",\n \"0.6095849\",\n \"0.6083901\",\n \"0.6071642\",\n \"0.6066561\",\n \"0.6057717\",\n \"0.60541564\",\n \"0.60473233\",\n \"0.60388035\",\n \"0.60330087\",\n \"0.6021238\",\n \"0.60139585\",\n \"0.60101914\",\n \"0.60043067\",\n \"0.60002095\",\n \"0.598465\",\n \"0.5981522\",\n \"0.59768766\",\n \"0.5972501\",\n \"0.5972501\",\n \"0.5972501\",\n \"0.5972501\",\n \"0.5966148\",\n \"0.5963891\",\n \"0.5962933\",\n \"0.59586734\",\n \"0.59554327\",\n \"0.59478796\",\n \"0.5943007\",\n \"0.5923135\",\n \"0.59227353\",\n \"0.5917463\",\n \"0.59136903\",\n \"0.59008574\",\n \"0.5895987\",\n \"0.58927876\",\n \"0.5888963\",\n \"0.5865332\",\n \"0.58562005\",\n \"0.58514136\",\n \"0.58514136\",\n \"0.58477986\",\n \"0.58385015\",\n \"0.5836426\",\n \"0.5833425\",\n \"0.5831046\",\n \"0.5823886\",\n \"0.5787796\",\n \"0.5786389\",\n \"0.5770568\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6279518"},"document_rank":{"kind":"string","value":"33"}}},{"rowIdx":179,"cells":{"query":{"kind":"string","value":"insert a value into the heap"},"document":{"kind":"string","value":"insert(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tif (size === 0) {\r\n\t\t\tthis.heap.push(data);\r\n\t\t} else {\r\n\t\t\tthis.heap.push(data);\r\n\r\n\t\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\t\tthis.minHeapify(this.heap, this.heap.length, i);\r\n\t\t\t}\r\n\t\t}\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["insert(value) {\n // Insert value to the end of array\n // Perform siftUp to correct position of value in the heap tree\n this.heap.push(value);\n this.siftUp(this.heap.length - 1, this.heap);\n }","insert(value) {\n\t\tthis.heap.push(value);\n\t\t// calling heapify function to reconstruct array to heap property\n\t\tthis.heapify();\n\t}","insert(val) {\n this.array.push(val);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// push value to end of array (add node to farthest bottom left of tree)\n\n this.siftUp(this.array.length - 1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuously swap value toward front of array to maintain maxHeap property\n }","insert(value, priority) {\n var node = new Node(value, priority);\n\n this.heap.push(node);\n\n let currentNodeIdx = this.heap.length - 1;\n let currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\n\n while (\n this.heap[currentNodeParentIdx] &&\n priority > this.heap[currentNodeParentIdx].priority\n ) {\n const parent = this.heap[currentNodeParentIdx]; // swap\n this.heap[currentNodeParentIdx] = node;\n this.heap[currentNodeIdx] = parent;\n\n currentNodeIdx = currentNodeParentIdx; // update pointers\n currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\n }\n }","function pq_insert(heap, new_element) {\n var eIntIdx = heap.length;\n var prntIdx = Math.floor((eIntIdx - 1 ) / 2);\n heap.push(new_element);\n var heaped = (eIntIdx <= 0) || (heap[prntIdx].priority <= heap[eIntIdx]).priority;\n\n while(!heaped){\n var tmp = heap[prntIdx];\n heap[prntIdx] = heap[eIntIdx];\n heap[eIntIdx] = tmp;\n\n eIntIdx = prntIdx;\n prntIdx = Math.floor((eIntIdx - 1)/2);\n heaped = (eIntIdx <= 0) ||(heap[prntIdx].priority <= heap[eIntIdx].priority);\n }\n // STENCIL: implement your min binary heap insert operation\n}","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}","insert(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tif (size === 0) {\r\n\t\t\tthis.heap.push(data);\r\n\t\t} else {\r\n\t\t\tthis.heap.push(data);\r\n\r\n\t\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t\t}\r\n\t\t}\r\n\t}","function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }","function minheap_insert(heap, new_element) {\n var length = heap.push(new_element);\n var child = length - 1;\n var parent = (child + child%2)/2 - 1;\n while(parent >= 0 && heap[child] < heap[parent]){\n swap(heap,parent,child);\n child = parent;\n parent = (child + child%2)/2 - 1;\n }\n // STENCIL: implement your min binary heap insert operation\n}","insert(key) {\n /*\n * Add the key to the end of the heap and increment n, then swim up the\n * heap to fix any violations that have arisen.\n */\n this.heap[++this.n] = key;\n this.swim(this.n);\n }","function minheap_insert(heap, new_element) {\n heap.push(new_element);\n var index = heap.length - 1;\n while(index > 0){\n var parent = Math.floor((index+1)/2)-1;\n if(heap[parent] > new_element){\n var temp = heap[parent];\n heap[parent] = new_element;\n heap[index] = temp;\n }\n index = parent;\n }\n // STENCIL: implement your min binary heap insert operation\n}","function minheap_insert(heap, new_element) \n{\n \n var adj,temp;\n heap.push(new_element);\n for (adj=heap.length-1;adj>0;adj=Math.floor((adj-1)/2))\n {\n if (new_element < heap[Math.floor((adj-1)/2)]) // use to swap those two numbers\n {\n temp = new_element;\n heap[adj] = heap[Math.floor((adj-1)/2)];\n heap[Math.floor((adj-1)/2)] = temp; \n }\n }\n return;\n}","add(key, value = key) {\n const node = new HeapNode(key, value);\n const i = this.store.push(node) - 1;\n this.heapUp(i);\n // console.log(this.store);\n }","insert(item) {\n this.heap.push(item);\n this.size++;\n\n // put it at the end\n let i = this.size - 1;\n this.locations.set(this.hash(item), i);\n\n while (i > 0) {\n let parent = this.parentIndex(i);\n\n if (this.validParent(i, parent))\n break;\n\n // swap item places\n this.heap[i] = this.heap[parent];\n this.heap[parent] = item;\n\n // set locations on the swap\n this.locations.set(this.hash(item), parent);\n this.locations.set(this.hash(this.heap[i]), i);\n\n i = parent;\n }\n }","insert(val) {\n if (typeof val === 'undefined') return;\n this.storage.push(val);\n this.bubbleUp(this.storage.length - 1);\n this.size++;\n // console.log('val: ',val, ' storage: ', this.storage.toString());\n }","insert(val) {\n if (this.storage[0] === null) {\n this.storage[0] = val;\n this.size++;\n return;\n }\n this.storage.push(val);\n this.size++;\n this.bubbleUp(this.size - 1);\n }","add(value) {\r\n this.heapContainer.push(value);\r\n this.heapifyUp();\r\n }","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","insert(key, value) {\n let index = this._hash(key, this._tableSize);\n\n if (!this._storage[index]) this._storage[index] = new LinkedList();\n\n let pair = new LinkedList(key);\n pair.add(value);\n this._storage[index].add(pair);\n this._currentSize++;\n\n if (this._isHalfSizeReached()) {\n this._resizing();\n }\n }","function insert(arr, num) {\n console.log('Heap')\n console.log(arr)\n console.log('inserting: '+num)\n arr.push(num)\n console.log(arr)\n\n var childPos = arr.length-1\n var parentPos = Math.floor((arr.length-1)/2)\n var child = arr[childPos]\n var parent = arr[parentPos]\n\n console.log('child: '+child)\n console.log('child position: '+childPos)\n console.log('parent: '+parent)\n console.log('parent position: '+parentPos)\n\n recurse()\n\n function recurse() {\n if (parent === undefined){return}\n if(child >= parent){\n return arr\n }\n console.log('Child is less than parent, swapping...')\n arr[childPos] = parent\n arr[parentPos] = child\n console.log('new array')\n console.log(arr)\n\n childPos = parentPos\n console.log('new child: '+child)\n console.log('new child position: '+childPos)\n\n parentPos = Math.floor((parentPos-1)/2)\n parent = arr[parentPos]\n console.log('new parent: '+parent)\n console.log('new parent position: '+parentPos)\n\n\n return recurse(child, parent)\n }\n}","push(value){\r\n this.top += 1;\r\n this.storage[this.top] = value;\r\n }","insert_num(num) {\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\n this.maxHeap.insert(num);\n } else {\n this.minHeap.insert(num);\n }\n\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\n this.minHeap.insert(this.maxHeap.extractMax());\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\n this.maxHeap.insert(this.minHeap.remove());\n }\n }","insert(key, value) {\n const index = getIndexBelowMax(key.toString(), this.limit);\n const bucket = this.storage.get(index);\n this.doubleStorage();\n if (bucket === undefined) {\n this.storage.set(index, [[key, value]]);\n return;\n }\n for (let i = 0; i < bucket.length; i++) {\n if (bucket[i][0] === key) {\n bucket[i][1] = value;\n this.storage.set(index, bucket);\n return;\n }\n }\n bucket.push([key, value]);\n this.storage.set(index, bucket);\n }","_insert(node, value) {\n if (node === null) {\n return new Node(value, null, null);\n }\n\n // Passing to childnodes and update\n var side = ~~(value > node.value);\n node.children[side] = this._insert(node.children[side], value);\n\n // Keep it balance\n if (node.children[side].key < node.key) {\n return node.rotate(side);\n }\n return node.resize();\n }","insert(value) {\n if (value === this.key) {\n return;\n }\n\n if (value < this.key) {\n if (this.left) {\n return this.left.insert(value);\n }\n\n this.left = new Node(value);\n\n return value;\n }\n\n if (this.right) {\n return this.right.insert(value);\n }\n\n this.right = new Node(value);\n\n return value;\n }","insert(value) {\n this.storage.push(value);\n this.bubbleUp();\n }","insert(value) {\n this.head = new Node(value, this.head);\n }","push(value) {\n if (!this.top) {\n this.top = new NodeWithMin(value, value);\n this.min = this.top.min;\n } else { // this.top is present on the stack\n let newMin = Math.min(value, this.min);\n let newTop = new NodeWithMin(value, newMin);\n newTop.next = this.top;\n this.top = newTop;\n this.min = newMin;\n }\n }","insert (key, value) {\n value = value || key;\n\n //leafs need to insert the value at themself and make new leaf children\n if(this.height == 0) {\n this.key = key;\n this.value = value || key;\n this.left = new BinarySearchTree(this);\n this.right = new BinarySearchTree(this);\n this.height = 1;\n this.numLeftChildren = 1;\n this.numRightChildren = 1;\n return;\n }\n\n if(key == this.key) return;\n\n if(key < this.key) {\n this.numLeftChildren++;\n this.left.insert(key);\n this.height = Math.max(this.height, 1 + this.left.height);\n }\n if(key >= this.key) {\n this.numRightChildren++;\n this.right.insert(key);\n this.height = Math.max(this.height, 1 + this.right.height);\n }\n\n this.rebalance();\n }","insert(i, key) {\n\t\tea && assert(i > 0 && this.valid(i),\n\t\t\t\t\t `ArrayHeap.insert: invalid item ${i}`);\n\t\tif (this.contains(i)) { this.changekey(i,key); return; }\n\t\tif (i > this.n) this.expand(i);\n\t\tthis.#key[i] = key - this.#offset; this.#m++; this.siftup(i, this.m);\n\t}","insert(val){\r\n this.values.push(val);\r\n this.bubbleUp();\r\n }","enqueue(value, priority) {\n const newEntry = new Entry(value, priority);\n this.values.push(newEntry);\n let curr = this.values.length - 1;\n let parent = Math.floor((curr - 1) / 2);\n while (\n curr > 0 &&\n this.values[parent].priority > this.values[curr].priority\n ) {\n const temp = this.values[parent];\n this.values[parent] = this.values[curr];\n this.values[curr] = temp;\n curr = parent;\n parent = Math.floor((curr - 1) / 2);\n }\n }","insert(value) {\n if (value < this.value) {\n if (this.left === null) {\n this.left = new BinarySearchTree(value);\n } else {\n this.left.insert(value);\n }\n } else if (value > this.value) {\n if (this.right === null) {\n this.right = new BinarySearchTree(value);\n } else {\n this.right.insert(value);\n }\n }\n }","insert(value) {\n if (!this.head) {\n return this.push(value);\n } else {\n let temp = this.head;\n while (temp.forward.value > temp.value && value > temp.forward.value) {\n temp = temp.forward;\n }\n temp.forward = new Node(value);\n temp.forward.back = temp;\n temp.forward.forward = this.head;\n }\n this.size++;\n return true;\n }","function heapAddNode(){\n setClass(nodes[heapSize], 2, \"Current\"); //set the first Node to the heap\n currentHeapPosition = heapSize;\n addStep(\"Add Node \" + (heapSize + 1) + \" to the heap and set it to \\\"current\\\".\");\n makeHeapStep = 2;\n}","insertKeyValuePair(key, value) {\r\n if (!(key in this.cache)) {\r\n if (this.currentSize === this.maxSize) {\r\n this.evictLeastRecent();\r\n } else {\r\n this.currentSize++;\r\n }\r\n this.cache[key] = new DoublyLinkedListNode(key, value);\r\n } else {\r\n this.replaceKey(key, value);\r\n }\r\n this.updateMostRecent(this.cache[key]);\r\n }","insert(value) {\n this.values.push(value)\n let index = this.values.length - 1\n let parentIndex \n while (!!index) {\n parentIndex = Math.floor((index-1)/2)\n if (this.values[parentIndex]>this.values[index]) break\n this.values[index] = this.values[parentIndex]\n this.values[parentIndex] = value\n index = parentIndex\n }\n return this\n }","function insert() {\n var value = Math.floor(Math.random() * 9999);\n console.log(\"INS \" + value);\n values.push(value);\n tree.insert(value);\n}","insert(item, priority) {\n if (item == null) return;\n if (item in this._indexLookup) {\n return this.changePriority(item, priority);\n }\n\n this._indexLookup[item] = this._size;\n this._priorityHeap.push(priority);\n this._elementHeap.push(item);\n\n this._fixTopHeap(this._size);\n this._size++;\n }","insertKeyValuePair(key, value) {\n if (!(key in this.cache)) {\n if (this.currentSize === this.maxSize) {\n this.evictLeastRecent();\n } else {\n this.currentSize++;\n }\n this.cache[key] = new DoublyLinkedListNode(key, value);\n } else {\n this.replaceKey(key, value);\n }\n this.updateMostRecent(this.cache[key]);\n }","enqueue(val, priority) {\r\n let newNode = new Node(val, priority);\r\n this.values.push(element);\r\n this.bubbleUp();\r\n }","push(value) {\n const newNode = new _Node(value);\n\n // 先判斷top目前是否為null (表示目前this.top沒有任何節點)\n if (this.top === null) {\n this.top = newNode;\n return;\n }\n\n // 如果已經有節點存在，把目前this.top的節點地址傳給 寫入新節點的.next property\n // 這時候目前this.top所代表的節點已經儲存在newNode.next\n newNode.next = this.top;\n this.top = newNode; // 用新節點取代、並作為新的this.top\n }","enqueue(value, priority){\n let newNode = new Node(value, priority);\n this.values.push(newNode);\n this.bubbleUp();\n }","push(value) {\n\t\tconst newNode = new Node(value);\n\t\tif (this.length == 0) {\n\t\t\tthis.top = newNode;\n\t\t\tthis.bottom = newNode;\n\t\t} else {\n\t\t\tconst holdingPointer = this.top;\n\t\t\tthis.top = newNode;\n\t\t\tthis.top.next = holdingPointer;\n\t\t}\n\t\tthis.length++;\n\t}","insert(key, value) {\n const index = getIndexBelowMax(key, this.limit);\n // let bucket = this.storage[index];\n if (!this.storage.hasOwnProperty(index)) {\n this.storage.storage[index] = [];\n }\n if(!this.storage.storage[index].hasOwnProperty(key)){\n this.limit++;\n this.storage.limit++;\n }\n this.storage.storage[index] = [key, value];\n //this.storage.set(key, index);\n // return this.storage[index][key];\n // return this.storage[index];\n }","insert(k, v) {\n var index = getIndexBelowMaxForKey(k, this._limit);\n var indexBucket = this._storage.get(index);\n \n if (indexBucket === undefined) {\n this._storage.set(index, [[k, v]]); \n } else { \n for (var i = 0; i < indexBucket.length; i++) {\n if (indexBucket[i][0] === k) {\n indexBucket[i][1] = v;\n } else {\n indexBucket.push([k, v]); \n }\n }\n this._storage.set(index, indexBucket);\n }\n }","push(value) {\n if (!this.head) {\n this.head = new Node(value);\n this.head.forward = this.head;\n this.head.back = this.head;\n } else if (this.head.back.value < value) {\n let temp = this.head.back;\n\n temp.forward = new Node(value);\n temp.forward.back = temp;\n temp.forward.forward = this.head;\n\n this.head.back = temp.forward;\n } else {\n return false;\n }\n\n this.size++;\n return true;\n }","insert(key, value) {\n if (!isNaN(key) && key < this.limit) {\n this.storage.set(key, value);\n this.storage.incrementLength();\n } else if (this.storage.get(getIndexBelowMax(key)) !== undefined || null) {\n const current = this.storage.get(getIndexBelowMax(key));\n const newArray = [[0, current], [key, value]];\n this.storage.set(getIndexBelowMax(key), newArray);\n this.storage.incrementLength();\n } else {\n this.storage.set(getIndexBelowMax(key), value);\n this.storage.incrementLength();\n }\n if (this.storage.length >= (0.75 * this.limit)) {\n this.limit *= 2;\n }\n }","insertKey(k) {\n\n this.harr.push(k)\n let i = this.harr.length - 1\n\n let parentInd = this.parent(i)\n\n while (i != 0 && parentInd > harr[i]) {\n\n this.swap(i, parentInd)\n\n i = parentInd\n parentInd = this.parent(i)\n\n }\n\n }","insert(value){\n if (this.head === null){\n this.head = new Node(value);\n }\n }","insert(key, value) {\n this.root = this._insert(key, value, this.root);\n }","push(value) {\n const node = new Node(value);\n if (!this.top) this.top = node;\n else {\n node.next = this.top;\n this.top = node;\n }\n }","insert(value) {\n let newNode = new Node(value);\n if (!this.root) {\n return this.root = newNode;\n } else {\n let current = this.root;\n while (current) {\n if (value < current.value) {\n if (!current.left) {\n return current.left = newNode;\n }\n current = current.left;\n } else {\n if (!current.right) {\n return current.right = newNode;\n }\n current = current.right;\n }\n }\n }\n }","insert(index_num, value){\n if(index_num<0 || index_num>this.length){\n console.log(\"INSERT - false\");\n return false;\n }\n if(index_num===0){\n this.unshift(value);\n console.log(\"INSERT using UNSHIFT - true\");\n return true;\n } \n if(index_num===this.length){\n this.push(value);\n console.log(\"INSERT using PUSH - true\");\n return true;\n } \n let newNode = new Node(value);\n let before_position = this.get(index_num-1); // 1. we neet to find item at the position one before!!\n let needed_position = before_position.next;\n before_position.next = newNode;\n newNode.next = needed_position;\n this.length +=1;\n console.log(\"INSERT - true\");\n return true;\n }","insert (key, value) {\n const newTree = this.tree.insert(key, value)\n\n // If newTree is undefined, that means its structure was not modified\n if (newTree) { this.tree = newTree }\n }","insert (key, value) {\n // Empty tree, insert as root\n if (!Object.prototype.hasOwnProperty.call(this, 'key')) {\n this.key = key\n this.data.push(value)\n return\n }\n\n // Same key as root\n if (this.compareKeys(this.key, key) === 0) {\n if (this.unique) {\n const err = new Error(`Can't insert key ${key}, it violates the unique constraint`)\n err.key = key\n err.errorType = 'uniqueViolated'\n throw err\n } else this.data.push(value)\n return\n }\n\n if (this.compareKeys(key, this.key) < 0) {\n // Insert in left subtree\n if (this.left) this.left.insert(key, value)\n else this.createLeftChild({ key: key, value: value })\n } else {\n // Insert in right subtree\n if (this.right) this.right.insert(key, value)\n else this.createRightChild({ key: key, value: value })\n }\n }","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","insert ( value ) {\n const node = new Node( value )\n\n if ( this.head === null ) {\n this.head = node\n this.tail = node\n } else {\n this.tail.next = node\n node.prev = this.tail\n this.tail = node\n }\n\n this.count++\n }","insert(value) {\n this.count++;\n let newNode = new Node(value)\n const searchTree = (node) => {\n // if value < node.value, go left\n if (value < node.value) {\n // if no left child, append new node\n if (!node.left) {\n node.left = newNode; \n // if left child, look left again\n } else {\n searchTree(node.left);\n }\n }\n // if value > node.value, go right\n if (value > node.value ) {\n // if no right child, append new node\n if (!node.right) {\n node.right = newNode;\n // if right child, look right again\n } else {\n searchTree(node.right);\n }\n }\n }\n searchTree(this.root);\n }","function push(val) {\n stack[++topp] = val;\n \n}","push(value) {\n this.stackData.push(value);\n this.length++;\n if (this.length === 1) {\n this.bottom = this.stackData[0];\n }\n this.top = this.stackData[this.length - 1];\n }","push(value) {\n //1. Push value in mainStack and check that value with the top value of minStack\n //2. If the pushed value is greater than the value of top, then push top in minStack\n //else push the value in minStack\n this.mainStack.push(value)\n\n if (value > this.minStack.getTop() && !this.minStack.isEmpty())\n this.minStack.push(this.minStack.getTop())\n else\n this.minStack.push(value)\n \n }","enqueue(val, priority) {\n if (!val || priority < 0) return false;\n\n const newNode = new Node(val, priority),\n VALS = this.values;\n\n // new node gets inserted at the end of the queue\n VALS.push(newNode);\n\n // if there's only one item, nothing else needs to be done\n if (VALS.length === 1) return this;\n\n // grab the index of the newly inserted node\n let nIdx = VALS.length - 1;\n\n while (true) {\n // calculate the new node's parent's index\n let pIdx = Math.floor((nIdx - 1) / 2);\n\n // as long as nIdx is greater than zero\n // (to prevent out-of-bound indices)\n // and the priority of the value at nIdx\n // is higher (i.e. the number is smaller)\n if (nIdx && VALS[nIdx].priority < VALS[pIdx].priority) {\n // keep swapping and recalculating indices\n this.swapNodes(pIdx, nIdx);\n nIdx = pIdx;\n } else return this;\n }\n }","insert(key, value) {\n let index = this.makeHash(key);\n let bucket = this.storage[index];\n let item = new Node(key, value);\n \n // Create a new bucket if none exist\n if (!bucket) {\n bucket = new List(item);\n this.storage[index] = bucket; \n bucket.count++;\n this.count++;\n \n return 'New bucket created';\n } \n else {\n let current = bucket.head;\n \n // If the head has null next it is there is only one node in the list\n if (!current.next) {\n current.next = item;\n }\n else {\n // move to the end of the list\n while(current.next) {\n current = current.next;\n }\n \n current.next = item;\n }\n bucket.count++;\n this.count++;\n \n return 'New item placed in bucket at position ' + bucket.count;\n }\n }","insert(index, value) {\n const newNode = new Node(value);\n const leader = this.traverseToIndex(index);\n const holdingPointer = leader.next;\n leader.next = newNode;\n newNode.next = holdingPointer;\n this.length++;\n \n }","push (value) {\n const newNode = new Node(value)\n\n if (this.length === 0) {\n this.top = newNode\n this.bottom = newNode\n } else {\n newNode.next = this.top\n this.top = newNode\n }\n\n this.length++\n // this.printStack()\n }","modify(item, priority) {\n let location = this.locations.get(this.hash(item));\n\n if (location === null || location === undefined)\n throw Error(\"This object doesn't exist in the heap\");\n\n // remove and re-add\n let heapItem = this.heap.splice(location, 1);\n this.locations.delete(this.hash(heapItem));\n\n // modify\n if (this.priorityName) {\n heapItem = item;\n heapItem[this.priorityName] = priority;\n }\n else\n heapItem = priority;\n\n // add to beginning and sink\n this.heap.unshift(item);\n this.locations.set(this.hash(item), 0);\n this.heapify(0);\n }","insert(value) {\n let swapCompleted = false;\n const newNode = new BinarySearchTree(value);\n let root = this;\n \n while (!swapCompleted) {\n if (root.value >= value) {\n if (!root.left) {\n root.left = newNode;\n swapCompleted = true;\n }\n root = root.left;\n } else {\n if (!root.right) {\n root.right = newNode;\n swapCompleted = true;\n }\n root = root.right;\n } \n }\n return newNode; \n }","push(val) {\n if (this.top == this.length - 1)\n return -999;\n this.stack[++this.top] = val;\n return 1;\n }","function setToHeap(){\n addStep(\"Current Node \" + (currentHeapPosition + 1) + \" is less than or equal to it's parent node \" + (heapParentIndex + 1) + \" the node is now in the heap proper.\");\n setClass(nodes[heapParentIndex], 2, \"Relevant\");\n setClass(nodes[currentHeapPosition], 2, \"Relevant\");\n heapSize++;\n makeHeapStep = 1;\n}","function insert(store, value, maxQueueSize) {\n return store(store => {\n return keys(store).then(keys => {\n if (keys.length >= maxQueueSize) {\n return;\n }\n\n // We insert with an incremented key so that the entries are popped in order\n store.put(value, Math.max(...keys, 0) + 1);\n return promisifyRequest(store.transaction);\n });\n });\n}","insert(value) {\n if (!value) { return 'Please pass a value to be added'; }\n const newNode = new Node(value, this.head);\n this.head = newNode;\n return this;\n }","insert(index,value) {\n if (index < 0 || index>this.length){\n throw new Error('Index error')\n }\n if (this.length >= this._capacity){\n \n this._resize((this.length + 1)*Array.SIZE_RATIO)\n \n }\n Memory.copy(this.ptr+index+1,this.ptr+index,this.length-index)\n this.length ++\n this.set(index,value)\n \n }","insert(ind, val) {\n let nodeAtIndex = this.get(ind);\n let nodeAtPriorIndex = this.get(ind - 1);\n let newNode = new Node(val);\n\n if (ind > length || ind < 0 || this.length === 0) return;\n if (nodeAtIndex && nodeAtPriorIndex) {\n nodeAtPriorIndex.next = newNode;\n newNode.next = nodeAtIndex;\n this.length += 1;\n return true;\n } else if (!nodeAtIndex && nodeAtPriorIndex) {\n !!this.push(val);\n } else if (nodeAtIndex && !nodeAtPriorIndex) {\n !!this.unshift(val);\n }\n }","push(val) {\n this._storage[this._length] = val; \\\n this._length++;\n }","heapUp(index) {\n if (index <= 0) return;\n \n const parentIndex = this.parentIndex(index);\n if (this.store[index].key < this.store[parentIndex].key) {\n this.swap(index, parentIndex);\n this.heapUp(parentIndex);\n }\n }","insert(index, value) {\n if (index < 0 || index >= this.length) {\n throw new Error(\"Index error\");\n }\n if (this.length >= this._capacity) {\n this._resize((this.length + 1) * Array.SIZE_RATIO);\n }\n memory.copy(this.ptr + index + 1, this.ptr + index, this.length - index);\n memory.set(this.ptr + index, value);\n this.length++;\n }","insert(index, value) {\n if(index < 0 || index >= this.length) {\n throw new Error('Index error')\n }\n if(this.length >= this._capacity) {\n this._resize((this.length + 1) * this.ARRAY_SIZE_RATIO)\n }\n memory.copy(this.ptr + index + 1, this.ptr + index, this.length - index)\n //[1,2,3] ==> [1,2,2,3]\n memory.set(this.ptr + index, value)\n //[1, value, 2, 3]\n this.length++\n }","replace(/*MinHeapNode*/ root) {\n this.harr[0] = root;\n this.heapify(0);\n }","insert(element) {\n this.values.push(element)\n this._bubbleUp()\n }","enqueue(value, priority) {\n let newElement = new Node(value, priority);\n if (!this.root) {\n this.root = newElement;\n return this;\n }\n\n const queue = new Queue(this.root);\n while (queue.peek()) {\n // loop while there are not empty spaces | ensures that the queue is as compact as possible\n const node = queue.dequeue();\n if (node.left) queue.enqueue(node.left);\n else {\n // I can insert on the left\n newElement.parent = node;\n node.left = newElement;\n this._updateLowestPriority(newElement);\n this._bubbleUp(newElement);\n return this;\n }\n if (node.right) queue.enqueue(node.right);\n else {\n //I can insert on the right\n newElement.parent = node;\n node.right = newElement;\n this._updateLowestPriority(newElement);\n this._bubbleUp(newElement);\n return this;\n }\n }\n }","enqueue(element, priority){\n var newElement = new QueueEntry(element, priority);\n var valueExists = false; \n\n for(var i = 0; i < this.items.length; i++){\n if(this.items[i].priority > newElement.priority) {\n this.items.splice(i, 0, newElement);\n valueExists = true; \n break; \n }\n }\n if(!valueExists){\n this.items.push(newElement);\n }\n }","insert(value){\n let node = new Node(value);\n node.next = this.head;\n this.head = node;\n }","push(val){\n var newNode = new Node(val);\n if(this.isEmpty()){\n this.top = newNode;\n this.bottom = newNode;\n }\n else{\n newNode.next = this.top;\n this.top = newNode;\n }\n this.length++;\n return this;\n }","insert(data) {\n const node = new Node(data, this.head);\n this.head = node;\n }","insert(priority, data) {\n this.fpq.add({priority, data});\n }","push(val) {\n\n\n }","function insertSorted(arr, val) {\n arr.push(val);\n var i = arr.length - 1;\n while (i > 0 && arr[i - 1] > val) {\n arr[i] = arr[i - 1];\n i--;\n }\n arr[i] = val;\n}","insert(index, val){\n if(index < 0 || index > this.length) return undefined;\n if(index === 0) return !!this.unshifting(val);\n if(index === this.length) return !!this.push(val);\n \n let newNode = new Node(val);\n let beforeNode = this.get(index-1);\n let afterNode = beforeNode.next;\n\n beforeNode.next = newNode;\n newNode.prev = beforeNode;\n afterNode.prev = newNode;\n newNode.next = afterNode;\n\n this.length++;\n console.log(true);\n }","insert(key, obj)\r\n {\r\n this.#table[int(this.#hash(key) & this.#divisor)].push(new HashEntry(key, obj));\r\n this.#count++;\r\n }","function heap(a, lo, hi) {\n\t var n = hi - lo,\n\t i = (n >>> 1) + 1;\n\t while (--i > 0) sift(a, i, n, lo);\n\t return a;\n\t }","push(value) {\n const newNode = new Node(value);\n //validamos si el stack está vacio\n if (this.length === 0) {\n this.top = newNode;\n this.bottom = newNode;\n } else {\n /**\n * al agregar un nuevo elemento, el node que en este momento esta en el top debe dejar de ser el top y el nuevo elemento\n * se convertirá en el top\n */\n const holdingPointer = this.top;\n //el newNode se convierte en el top del stack\n this.top = newNode;\n //top.next representa al nodo que está debajo del top\n this.top.next = holdingPointer;\n }\n\n this.length++;\n\n return this;\n }","insert(index, value) {\n if (index >= this.length) {\n return this.append(value);\n }\n\n const node = new Node(value);\n const leader = this.traverseToIndex(index - 1);\n const holdingPointer = leader.next;\n leader.next = node;\n node.next = holdingPointer;\n this.length++;\n return this.printList();\n }","insert(index, value) {\n if (index < 0 || index > this.length) {\n return false;\n } else if (index === 0) {\n return this.unshift(value);\n } else if (index === this.length) {\n return this.push(value);\n } else {\n const newNode = new Node(value);\n let prev = this.get(index - 1);\n let curr = prev.next;\n prev.next = newNode;\n newNode.next = curr;\n this.length++;\n return this;\n }\n }","buildHeap(left, right) {\r\n var x = this.values[left];\r\n var i = left;\r\n\r\n while(true) {\r\n let j = 2 * i;\r\n if (j > right) break;\r\n if ((j < right) && (Item.compare(this.values[j + 1], this.values[j]) >= 0)) {\r\n j++;\r\n }\r\n\r\n if (Item.compare(x, this.values[j]) >= 0) break;\r\n let temp = this.values[i];\r\n this.values[i] = this.values[j];\r\n this.values[j] = temp;\r\n\r\n this.values[i].selected = true;\r\n this.printStorage.pushTimedPrint(this.values);\r\n this.values[i].selected = false;\r\n i = j;\r\n }\r\n\r\n this.values[i] = x;\r\n\r\n this.values[i].selected = true;\r\n this.printStorage.pushTimedPrint(this.values);\r\n this.values[i].selected = false;\r\n }","push(value) {\n ListNode.link(this.tail.prev, new ListNode(value));\n this.length ++;\n }","push(value) {\n if (this.size == 0) {\n this.front = new LinkedListNode(value);\n this.back = this.front;\n } else {\n this.back.next = new LinkedListNode(value);\n this.back = this.back.next;\n }\n this.size++;\n }","insert(k, v) {\n var index = getIndexBelowMaxForKey(k, this._limit);\n if (Array.isArray(this._storage[index])) {\n var oldIndex = this._storage[index].findIndex(function(pair) {\n return pair[0] === k; \n });\n if (oldIndex >= 0) {\n this._storage[index][oldIndex].splice(1, 1, v);\n } else if (oldIndex === -1) {\n this._storage[index].push([k, v]);\n }\n\n } else {\n this._storage[index] = [[k, v]]; \n }\n //constant if no collision else linear\n }","push(val){\n let newNode = new Node(val);\n if(!this.first) {\n this.first = newNode;\n this.last = newNode;\n } else {\n let oldFirst = this.first;\n this.first = newNode;\n this.first.next = oldFirst;\n }\n return ++this.size; \n }","insert(key, value) {\n let hash = hashFunction(key);\n if(this.table[hash] === null) {\n this.table[hash] = new LinkedData(key, value);\n return true;\n }\n else {\n let head = this.table[hash];\n while(head.next !== null) head = head.next;\n head.next = new LinkedData(key, value);\n return true;\n }\n }"],"string":"[\n \"insert(value) {\\n // Insert value to the end of array\\n // Perform siftUp to correct position of value in the heap tree\\n this.heap.push(value);\\n this.siftUp(this.heap.length - 1, this.heap);\\n }\",\n \"insert(value) {\\n\\t\\tthis.heap.push(value);\\n\\t\\t// calling heapify function to reconstruct array to heap property\\n\\t\\tthis.heapify();\\n\\t}\",\n \"insert(val) {\\n this.array.push(val);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// push value to end of array (add node to farthest bottom left of tree)\\n\\n this.siftUp(this.array.length - 1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuously swap value toward front of array to maintain maxHeap property\\n }\",\n \"insert(value, priority) {\\n var node = new Node(value, priority);\\n\\n this.heap.push(node);\\n\\n let currentNodeIdx = this.heap.length - 1;\\n let currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\\n\\n while (\\n this.heap[currentNodeParentIdx] &&\\n priority > this.heap[currentNodeParentIdx].priority\\n ) {\\n const parent = this.heap[currentNodeParentIdx]; // swap\\n this.heap[currentNodeParentIdx] = node;\\n this.heap[currentNodeIdx] = parent;\\n\\n currentNodeIdx = currentNodeParentIdx; // update pointers\\n currentNodeParentIdx = Math.floor((currentNodeIdx - 1) / 2);\\n }\\n }\",\n \"function pq_insert(heap, new_element) {\\n var eIntIdx = heap.length;\\n var prntIdx = Math.floor((eIntIdx - 1 ) / 2);\\n heap.push(new_element);\\n var heaped = (eIntIdx <= 0) || (heap[prntIdx].priority <= heap[eIntIdx]).priority;\\n\\n while(!heaped){\\n var tmp = heap[prntIdx];\\n heap[prntIdx] = heap[eIntIdx];\\n heap[eIntIdx] = tmp;\\n\\n eIntIdx = prntIdx;\\n prntIdx = Math.floor((eIntIdx - 1)/2);\\n heaped = (eIntIdx <= 0) ||(heap[prntIdx].priority <= heap[eIntIdx].priority);\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\",\n \"insert(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tif (size === 0) {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\r\\n\\t\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\",\n \"function minheap_insert(heap, new_element) {\\n var length = heap.push(new_element);\\n var child = length - 1;\\n var parent = (child + child%2)/2 - 1;\\n while(parent >= 0 && heap[child] < heap[parent]){\\n swap(heap,parent,child);\\n child = parent;\\n parent = (child + child%2)/2 - 1;\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"insert(key) {\\n /*\\n * Add the key to the end of the heap and increment n, then swim up the\\n * heap to fix any violations that have arisen.\\n */\\n this.heap[++this.n] = key;\\n this.swim(this.n);\\n }\",\n \"function minheap_insert(heap, new_element) {\\n heap.push(new_element);\\n var index = heap.length - 1;\\n while(index > 0){\\n var parent = Math.floor((index+1)/2)-1;\\n if(heap[parent] > new_element){\\n var temp = heap[parent];\\n heap[parent] = new_element;\\n heap[index] = temp;\\n }\\n index = parent;\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"function minheap_insert(heap, new_element) \\n{\\n \\n var adj,temp;\\n heap.push(new_element);\\n for (adj=heap.length-1;adj>0;adj=Math.floor((adj-1)/2))\\n {\\n if (new_element < heap[Math.floor((adj-1)/2)]) // use to swap those two numbers\\n {\\n temp = new_element;\\n heap[adj] = heap[Math.floor((adj-1)/2)];\\n heap[Math.floor((adj-1)/2)] = temp; \\n }\\n }\\n return;\\n}\",\n \"add(key, value = key) {\\n const node = new HeapNode(key, value);\\n const i = this.store.push(node) - 1;\\n this.heapUp(i);\\n // console.log(this.store);\\n }\",\n \"insert(item) {\\n this.heap.push(item);\\n this.size++;\\n\\n // put it at the end\\n let i = this.size - 1;\\n this.locations.set(this.hash(item), i);\\n\\n while (i > 0) {\\n let parent = this.parentIndex(i);\\n\\n if (this.validParent(i, parent))\\n break;\\n\\n // swap item places\\n this.heap[i] = this.heap[parent];\\n this.heap[parent] = item;\\n\\n // set locations on the swap\\n this.locations.set(this.hash(item), parent);\\n this.locations.set(this.hash(this.heap[i]), i);\\n\\n i = parent;\\n }\\n }\",\n \"insert(val) {\\n if (typeof val === 'undefined') return;\\n this.storage.push(val);\\n this.bubbleUp(this.storage.length - 1);\\n this.size++;\\n // console.log('val: ',val, ' storage: ', this.storage.toString());\\n }\",\n \"insert(val) {\\n if (this.storage[0] === null) {\\n this.storage[0] = val;\\n this.size++;\\n return;\\n }\\n this.storage.push(val);\\n this.size++;\\n this.bubbleUp(this.size - 1);\\n }\",\n \"add(value) {\\r\\n this.heapContainer.push(value);\\r\\n this.heapifyUp();\\r\\n }\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"insert(key, value) {\\n let index = this._hash(key, this._tableSize);\\n\\n if (!this._storage[index]) this._storage[index] = new LinkedList();\\n\\n let pair = new LinkedList(key);\\n pair.add(value);\\n this._storage[index].add(pair);\\n this._currentSize++;\\n\\n if (this._isHalfSizeReached()) {\\n this._resizing();\\n }\\n }\",\n \"function insert(arr, num) {\\n console.log('Heap')\\n console.log(arr)\\n console.log('inserting: '+num)\\n arr.push(num)\\n console.log(arr)\\n\\n var childPos = arr.length-1\\n var parentPos = Math.floor((arr.length-1)/2)\\n var child = arr[childPos]\\n var parent = arr[parentPos]\\n\\n console.log('child: '+child)\\n console.log('child position: '+childPos)\\n console.log('parent: '+parent)\\n console.log('parent position: '+parentPos)\\n\\n recurse()\\n\\n function recurse() {\\n if (parent === undefined){return}\\n if(child >= parent){\\n return arr\\n }\\n console.log('Child is less than parent, swapping...')\\n arr[childPos] = parent\\n arr[parentPos] = child\\n console.log('new array')\\n console.log(arr)\\n\\n childPos = parentPos\\n console.log('new child: '+child)\\n console.log('new child position: '+childPos)\\n\\n parentPos = Math.floor((parentPos-1)/2)\\n parent = arr[parentPos]\\n console.log('new parent: '+parent)\\n console.log('new parent position: '+parentPos)\\n\\n\\n return recurse(child, parent)\\n }\\n}\",\n \"push(value){\\r\\n this.top += 1;\\r\\n this.storage[this.top] = value;\\r\\n }\",\n \"insert_num(num) {\\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\\n this.maxHeap.insert(num);\\n } else {\\n this.minHeap.insert(num);\\n }\\n\\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\\n this.minHeap.insert(this.maxHeap.extractMax());\\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\\n this.maxHeap.insert(this.minHeap.remove());\\n }\\n }\",\n \"insert(key, value) {\\n const index = getIndexBelowMax(key.toString(), this.limit);\\n const bucket = this.storage.get(index);\\n this.doubleStorage();\\n if (bucket === undefined) {\\n this.storage.set(index, [[key, value]]);\\n return;\\n }\\n for (let i = 0; i < bucket.length; i++) {\\n if (bucket[i][0] === key) {\\n bucket[i][1] = value;\\n this.storage.set(index, bucket);\\n return;\\n }\\n }\\n bucket.push([key, value]);\\n this.storage.set(index, bucket);\\n }\",\n \"_insert(node, value) {\\n if (node === null) {\\n return new Node(value, null, null);\\n }\\n\\n // Passing to childnodes and update\\n var side = ~~(value > node.value);\\n node.children[side] = this._insert(node.children[side], value);\\n\\n // Keep it balance\\n if (node.children[side].key < node.key) {\\n return node.rotate(side);\\n }\\n return node.resize();\\n }\",\n \"insert(value) {\\n if (value === this.key) {\\n return;\\n }\\n\\n if (value < this.key) {\\n if (this.left) {\\n return this.left.insert(value);\\n }\\n\\n this.left = new Node(value);\\n\\n return value;\\n }\\n\\n if (this.right) {\\n return this.right.insert(value);\\n }\\n\\n this.right = new Node(value);\\n\\n return value;\\n }\",\n \"insert(value) {\\n this.storage.push(value);\\n this.bubbleUp();\\n }\",\n \"insert(value) {\\n this.head = new Node(value, this.head);\\n }\",\n \"push(value) {\\n if (!this.top) {\\n this.top = new NodeWithMin(value, value);\\n this.min = this.top.min;\\n } else { // this.top is present on the stack\\n let newMin = Math.min(value, this.min);\\n let newTop = new NodeWithMin(value, newMin);\\n newTop.next = this.top;\\n this.top = newTop;\\n this.min = newMin;\\n }\\n }\",\n \"insert (key, value) {\\n value = value || key;\\n\\n //leafs need to insert the value at themself and make new leaf children\\n if(this.height == 0) {\\n this.key = key;\\n this.value = value || key;\\n this.left = new BinarySearchTree(this);\\n this.right = new BinarySearchTree(this);\\n this.height = 1;\\n this.numLeftChildren = 1;\\n this.numRightChildren = 1;\\n return;\\n }\\n\\n if(key == this.key) return;\\n\\n if(key < this.key) {\\n this.numLeftChildren++;\\n this.left.insert(key);\\n this.height = Math.max(this.height, 1 + this.left.height);\\n }\\n if(key >= this.key) {\\n this.numRightChildren++;\\n this.right.insert(key);\\n this.height = Math.max(this.height, 1 + this.right.height);\\n }\\n\\n this.rebalance();\\n }\",\n \"insert(i, key) {\\n\\t\\tea && assert(i > 0 && this.valid(i),\\n\\t\\t\\t\\t\\t `ArrayHeap.insert: invalid item ${i}`);\\n\\t\\tif (this.contains(i)) { this.changekey(i,key); return; }\\n\\t\\tif (i > this.n) this.expand(i);\\n\\t\\tthis.#key[i] = key - this.#offset; this.#m++; this.siftup(i, this.m);\\n\\t}\",\n \"insert(val){\\r\\n this.values.push(val);\\r\\n this.bubbleUp();\\r\\n }\",\n \"enqueue(value, priority) {\\n const newEntry = new Entry(value, priority);\\n this.values.push(newEntry);\\n let curr = this.values.length - 1;\\n let parent = Math.floor((curr - 1) / 2);\\n while (\\n curr > 0 &&\\n this.values[parent].priority > this.values[curr].priority\\n ) {\\n const temp = this.values[parent];\\n this.values[parent] = this.values[curr];\\n this.values[curr] = temp;\\n curr = parent;\\n parent = Math.floor((curr - 1) / 2);\\n }\\n }\",\n \"insert(value) {\\n if (value < this.value) {\\n if (this.left === null) {\\n this.left = new BinarySearchTree(value);\\n } else {\\n this.left.insert(value);\\n }\\n } else if (value > this.value) {\\n if (this.right === null) {\\n this.right = new BinarySearchTree(value);\\n } else {\\n this.right.insert(value);\\n }\\n }\\n }\",\n \"insert(value) {\\n if (!this.head) {\\n return this.push(value);\\n } else {\\n let temp = this.head;\\n while (temp.forward.value > temp.value && value > temp.forward.value) {\\n temp = temp.forward;\\n }\\n temp.forward = new Node(value);\\n temp.forward.back = temp;\\n temp.forward.forward = this.head;\\n }\\n this.size++;\\n return true;\\n }\",\n \"function heapAddNode(){\\n setClass(nodes[heapSize], 2, \\\"Current\\\"); //set the first Node to the heap\\n currentHeapPosition = heapSize;\\n addStep(\\\"Add Node \\\" + (heapSize + 1) + \\\" to the heap and set it to \\\\\\\"current\\\\\\\".\\\");\\n makeHeapStep = 2;\\n}\",\n \"insertKeyValuePair(key, value) {\\r\\n if (!(key in this.cache)) {\\r\\n if (this.currentSize === this.maxSize) {\\r\\n this.evictLeastRecent();\\r\\n } else {\\r\\n this.currentSize++;\\r\\n }\\r\\n this.cache[key] = new DoublyLinkedListNode(key, value);\\r\\n } else {\\r\\n this.replaceKey(key, value);\\r\\n }\\r\\n this.updateMostRecent(this.cache[key]);\\r\\n }\",\n \"insert(value) {\\n this.values.push(value)\\n let index = this.values.length - 1\\n let parentIndex \\n while (!!index) {\\n parentIndex = Math.floor((index-1)/2)\\n if (this.values[parentIndex]>this.values[index]) break\\n this.values[index] = this.values[parentIndex]\\n this.values[parentIndex] = value\\n index = parentIndex\\n }\\n return this\\n }\",\n \"function insert() {\\n var value = Math.floor(Math.random() * 9999);\\n console.log(\\\"INS \\\" + value);\\n values.push(value);\\n tree.insert(value);\\n}\",\n \"insert(item, priority) {\\n if (item == null) return;\\n if (item in this._indexLookup) {\\n return this.changePriority(item, priority);\\n }\\n\\n this._indexLookup[item] = this._size;\\n this._priorityHeap.push(priority);\\n this._elementHeap.push(item);\\n\\n this._fixTopHeap(this._size);\\n this._size++;\\n }\",\n \"insertKeyValuePair(key, value) {\\n if (!(key in this.cache)) {\\n if (this.currentSize === this.maxSize) {\\n this.evictLeastRecent();\\n } else {\\n this.currentSize++;\\n }\\n this.cache[key] = new DoublyLinkedListNode(key, value);\\n } else {\\n this.replaceKey(key, value);\\n }\\n this.updateMostRecent(this.cache[key]);\\n }\",\n \"enqueue(val, priority) {\\r\\n let newNode = new Node(val, priority);\\r\\n this.values.push(element);\\r\\n this.bubbleUp();\\r\\n }\",\n \"push(value) {\\n const newNode = new _Node(value);\\n\\n // 先判斷top目前是否為null (表示目前this.top沒有任何節點)\\n if (this.top === null) {\\n this.top = newNode;\\n return;\\n }\\n\\n // 如果已經有節點存在，把目前this.top的節點地址傳給 寫入新節點的.next property\\n // 這時候目前this.top所代表的節點已經儲存在newNode.next\\n newNode.next = this.top;\\n this.top = newNode; // 用新節點取代、並作為新的this.top\\n }\",\n \"enqueue(value, priority){\\n let newNode = new Node(value, priority);\\n this.values.push(newNode);\\n this.bubbleUp();\\n }\",\n \"push(value) {\\n\\t\\tconst newNode = new Node(value);\\n\\t\\tif (this.length == 0) {\\n\\t\\t\\tthis.top = newNode;\\n\\t\\t\\tthis.bottom = newNode;\\n\\t\\t} else {\\n\\t\\t\\tconst holdingPointer = this.top;\\n\\t\\t\\tthis.top = newNode;\\n\\t\\t\\tthis.top.next = holdingPointer;\\n\\t\\t}\\n\\t\\tthis.length++;\\n\\t}\",\n \"insert(key, value) {\\n const index = getIndexBelowMax(key, this.limit);\\n // let bucket = this.storage[index];\\n if (!this.storage.hasOwnProperty(index)) {\\n this.storage.storage[index] = [];\\n }\\n if(!this.storage.storage[index].hasOwnProperty(key)){\\n this.limit++;\\n this.storage.limit++;\\n }\\n this.storage.storage[index] = [key, value];\\n //this.storage.set(key, index);\\n // return this.storage[index][key];\\n // return this.storage[index];\\n }\",\n \"insert(k, v) {\\n var index = getIndexBelowMaxForKey(k, this._limit);\\n var indexBucket = this._storage.get(index);\\n \\n if (indexBucket === undefined) {\\n this._storage.set(index, [[k, v]]); \\n } else { \\n for (var i = 0; i < indexBucket.length; i++) {\\n if (indexBucket[i][0] === k) {\\n indexBucket[i][1] = v;\\n } else {\\n indexBucket.push([k, v]); \\n }\\n }\\n this._storage.set(index, indexBucket);\\n }\\n }\",\n \"push(value) {\\n if (!this.head) {\\n this.head = new Node(value);\\n this.head.forward = this.head;\\n this.head.back = this.head;\\n } else if (this.head.back.value < value) {\\n let temp = this.head.back;\\n\\n temp.forward = new Node(value);\\n temp.forward.back = temp;\\n temp.forward.forward = this.head;\\n\\n this.head.back = temp.forward;\\n } else {\\n return false;\\n }\\n\\n this.size++;\\n return true;\\n }\",\n \"insert(key, value) {\\n if (!isNaN(key) && key < this.limit) {\\n this.storage.set(key, value);\\n this.storage.incrementLength();\\n } else if (this.storage.get(getIndexBelowMax(key)) !== undefined || null) {\\n const current = this.storage.get(getIndexBelowMax(key));\\n const newArray = [[0, current], [key, value]];\\n this.storage.set(getIndexBelowMax(key), newArray);\\n this.storage.incrementLength();\\n } else {\\n this.storage.set(getIndexBelowMax(key), value);\\n this.storage.incrementLength();\\n }\\n if (this.storage.length >= (0.75 * this.limit)) {\\n this.limit *= 2;\\n }\\n }\",\n \"insertKey(k) {\\n\\n this.harr.push(k)\\n let i = this.harr.length - 1\\n\\n let parentInd = this.parent(i)\\n\\n while (i != 0 && parentInd > harr[i]) {\\n\\n this.swap(i, parentInd)\\n\\n i = parentInd\\n parentInd = this.parent(i)\\n\\n }\\n\\n }\",\n \"insert(value){\\n if (this.head === null){\\n this.head = new Node(value);\\n }\\n }\",\n \"insert(key, value) {\\n this.root = this._insert(key, value, this.root);\\n }\",\n \"push(value) {\\n const node = new Node(value);\\n if (!this.top) this.top = node;\\n else {\\n node.next = this.top;\\n this.top = node;\\n }\\n }\",\n \"insert(value) {\\n let newNode = new Node(value);\\n if (!this.root) {\\n return this.root = newNode;\\n } else {\\n let current = this.root;\\n while (current) {\\n if (value < current.value) {\\n if (!current.left) {\\n return current.left = newNode;\\n }\\n current = current.left;\\n } else {\\n if (!current.right) {\\n return current.right = newNode;\\n }\\n current = current.right;\\n }\\n }\\n }\\n }\",\n \"insert(index_num, value){\\n if(index_num<0 || index_num>this.length){\\n console.log(\\\"INSERT - false\\\");\\n return false;\\n }\\n if(index_num===0){\\n this.unshift(value);\\n console.log(\\\"INSERT using UNSHIFT - true\\\");\\n return true;\\n } \\n if(index_num===this.length){\\n this.push(value);\\n console.log(\\\"INSERT using PUSH - true\\\");\\n return true;\\n } \\n let newNode = new Node(value);\\n let before_position = this.get(index_num-1); // 1. we neet to find item at the position one before!!\\n let needed_position = before_position.next;\\n before_position.next = newNode;\\n newNode.next = needed_position;\\n this.length +=1;\\n console.log(\\\"INSERT - true\\\");\\n return true;\\n }\",\n \"insert (key, value) {\\n const newTree = this.tree.insert(key, value)\\n\\n // If newTree is undefined, that means its structure was not modified\\n if (newTree) { this.tree = newTree }\\n }\",\n \"insert (key, value) {\\n // Empty tree, insert as root\\n if (!Object.prototype.hasOwnProperty.call(this, 'key')) {\\n this.key = key\\n this.data.push(value)\\n return\\n }\\n\\n // Same key as root\\n if (this.compareKeys(this.key, key) === 0) {\\n if (this.unique) {\\n const err = new Error(`Can't insert key ${key}, it violates the unique constraint`)\\n err.key = key\\n err.errorType = 'uniqueViolated'\\n throw err\\n } else this.data.push(value)\\n return\\n }\\n\\n if (this.compareKeys(key, this.key) < 0) {\\n // Insert in left subtree\\n if (this.left) this.left.insert(key, value)\\n else this.createLeftChild({ key: key, value: value })\\n } else {\\n // Insert in right subtree\\n if (this.right) this.right.insert(key, value)\\n else this.createRightChild({ key: key, value: value })\\n }\\n }\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"insert ( value ) {\\n const node = new Node( value )\\n\\n if ( this.head === null ) {\\n this.head = node\\n this.tail = node\\n } else {\\n this.tail.next = node\\n node.prev = this.tail\\n this.tail = node\\n }\\n\\n this.count++\\n }\",\n \"insert(value) {\\n this.count++;\\n let newNode = new Node(value)\\n const searchTree = (node) => {\\n // if value < node.value, go left\\n if (value < node.value) {\\n // if no left child, append new node\\n if (!node.left) {\\n node.left = newNode; \\n // if left child, look left again\\n } else {\\n searchTree(node.left);\\n }\\n }\\n // if value > node.value, go right\\n if (value > node.value ) {\\n // if no right child, append new node\\n if (!node.right) {\\n node.right = newNode;\\n // if right child, look right again\\n } else {\\n searchTree(node.right);\\n }\\n }\\n }\\n searchTree(this.root);\\n }\",\n \"function push(val) {\\n stack[++topp] = val;\\n \\n}\",\n \"push(value) {\\n this.stackData.push(value);\\n this.length++;\\n if (this.length === 1) {\\n this.bottom = this.stackData[0];\\n }\\n this.top = this.stackData[this.length - 1];\\n }\",\n \"push(value) {\\n //1. Push value in mainStack and check that value with the top value of minStack\\n //2. If the pushed value is greater than the value of top, then push top in minStack\\n //else push the value in minStack\\n this.mainStack.push(value)\\n\\n if (value > this.minStack.getTop() && !this.minStack.isEmpty())\\n this.minStack.push(this.minStack.getTop())\\n else\\n this.minStack.push(value)\\n \\n }\",\n \"enqueue(val, priority) {\\n if (!val || priority < 0) return false;\\n\\n const newNode = new Node(val, priority),\\n VALS = this.values;\\n\\n // new node gets inserted at the end of the queue\\n VALS.push(newNode);\\n\\n // if there's only one item, nothing else needs to be done\\n if (VALS.length === 1) return this;\\n\\n // grab the index of the newly inserted node\\n let nIdx = VALS.length - 1;\\n\\n while (true) {\\n // calculate the new node's parent's index\\n let pIdx = Math.floor((nIdx - 1) / 2);\\n\\n // as long as nIdx is greater than zero\\n // (to prevent out-of-bound indices)\\n // and the priority of the value at nIdx\\n // is higher (i.e. the number is smaller)\\n if (nIdx && VALS[nIdx].priority < VALS[pIdx].priority) {\\n // keep swapping and recalculating indices\\n this.swapNodes(pIdx, nIdx);\\n nIdx = pIdx;\\n } else return this;\\n }\\n }\",\n \"insert(key, value) {\\n let index = this.makeHash(key);\\n let bucket = this.storage[index];\\n let item = new Node(key, value);\\n \\n // Create a new bucket if none exist\\n if (!bucket) {\\n bucket = new List(item);\\n this.storage[index] = bucket; \\n bucket.count++;\\n this.count++;\\n \\n return 'New bucket created';\\n } \\n else {\\n let current = bucket.head;\\n \\n // If the head has null next it is there is only one node in the list\\n if (!current.next) {\\n current.next = item;\\n }\\n else {\\n // move to the end of the list\\n while(current.next) {\\n current = current.next;\\n }\\n \\n current.next = item;\\n }\\n bucket.count++;\\n this.count++;\\n \\n return 'New item placed in bucket at position ' + bucket.count;\\n }\\n }\",\n \"insert(index, value) {\\n const newNode = new Node(value);\\n const leader = this.traverseToIndex(index);\\n const holdingPointer = leader.next;\\n leader.next = newNode;\\n newNode.next = holdingPointer;\\n this.length++;\\n \\n }\",\n \"push (value) {\\n const newNode = new Node(value)\\n\\n if (this.length === 0) {\\n this.top = newNode\\n this.bottom = newNode\\n } else {\\n newNode.next = this.top\\n this.top = newNode\\n }\\n\\n this.length++\\n // this.printStack()\\n }\",\n \"modify(item, priority) {\\n let location = this.locations.get(this.hash(item));\\n\\n if (location === null || location === undefined)\\n throw Error(\\\"This object doesn't exist in the heap\\\");\\n\\n // remove and re-add\\n let heapItem = this.heap.splice(location, 1);\\n this.locations.delete(this.hash(heapItem));\\n\\n // modify\\n if (this.priorityName) {\\n heapItem = item;\\n heapItem[this.priorityName] = priority;\\n }\\n else\\n heapItem = priority;\\n\\n // add to beginning and sink\\n this.heap.unshift(item);\\n this.locations.set(this.hash(item), 0);\\n this.heapify(0);\\n }\",\n \"insert(value) {\\n let swapCompleted = false;\\n const newNode = new BinarySearchTree(value);\\n let root = this;\\n \\n while (!swapCompleted) {\\n if (root.value >= value) {\\n if (!root.left) {\\n root.left = newNode;\\n swapCompleted = true;\\n }\\n root = root.left;\\n } else {\\n if (!root.right) {\\n root.right = newNode;\\n swapCompleted = true;\\n }\\n root = root.right;\\n } \\n }\\n return newNode; \\n }\",\n \"push(val) {\\n if (this.top == this.length - 1)\\n return -999;\\n this.stack[++this.top] = val;\\n return 1;\\n }\",\n \"function setToHeap(){\\n addStep(\\\"Current Node \\\" + (currentHeapPosition + 1) + \\\" is less than or equal to it's parent node \\\" + (heapParentIndex + 1) + \\\" the node is now in the heap proper.\\\");\\n setClass(nodes[heapParentIndex], 2, \\\"Relevant\\\");\\n setClass(nodes[currentHeapPosition], 2, \\\"Relevant\\\");\\n heapSize++;\\n makeHeapStep = 1;\\n}\",\n \"function insert(store, value, maxQueueSize) {\\n return store(store => {\\n return keys(store).then(keys => {\\n if (keys.length >= maxQueueSize) {\\n return;\\n }\\n\\n // We insert with an incremented key so that the entries are popped in order\\n store.put(value, Math.max(...keys, 0) + 1);\\n return promisifyRequest(store.transaction);\\n });\\n });\\n}\",\n \"insert(value) {\\n if (!value) { return 'Please pass a value to be added'; }\\n const newNode = new Node(value, this.head);\\n this.head = newNode;\\n return this;\\n }\",\n \"insert(index,value) {\\n if (index < 0 || index>this.length){\\n throw new Error('Index error')\\n }\\n if (this.length >= this._capacity){\\n \\n this._resize((this.length + 1)*Array.SIZE_RATIO)\\n \\n }\\n Memory.copy(this.ptr+index+1,this.ptr+index,this.length-index)\\n this.length ++\\n this.set(index,value)\\n \\n }\",\n \"insert(ind, val) {\\n let nodeAtIndex = this.get(ind);\\n let nodeAtPriorIndex = this.get(ind - 1);\\n let newNode = new Node(val);\\n\\n if (ind > length || ind < 0 || this.length === 0) return;\\n if (nodeAtIndex && nodeAtPriorIndex) {\\n nodeAtPriorIndex.next = newNode;\\n newNode.next = nodeAtIndex;\\n this.length += 1;\\n return true;\\n } else if (!nodeAtIndex && nodeAtPriorIndex) {\\n !!this.push(val);\\n } else if (nodeAtIndex && !nodeAtPriorIndex) {\\n !!this.unshift(val);\\n }\\n }\",\n \"push(val) {\\n this._storage[this._length] = val; \\\\\\n this._length++;\\n }\",\n \"heapUp(index) {\\n if (index <= 0) return;\\n \\n const parentIndex = this.parentIndex(index);\\n if (this.store[index].key < this.store[parentIndex].key) {\\n this.swap(index, parentIndex);\\n this.heapUp(parentIndex);\\n }\\n }\",\n \"insert(index, value) {\\n if (index < 0 || index >= this.length) {\\n throw new Error(\\\"Index error\\\");\\n }\\n if (this.length >= this._capacity) {\\n this._resize((this.length + 1) * Array.SIZE_RATIO);\\n }\\n memory.copy(this.ptr + index + 1, this.ptr + index, this.length - index);\\n memory.set(this.ptr + index, value);\\n this.length++;\\n }\",\n \"insert(index, value) {\\n if(index < 0 || index >= this.length) {\\n throw new Error('Index error')\\n }\\n if(this.length >= this._capacity) {\\n this._resize((this.length + 1) * this.ARRAY_SIZE_RATIO)\\n }\\n memory.copy(this.ptr + index + 1, this.ptr + index, this.length - index)\\n //[1,2,3] ==> [1,2,2,3]\\n memory.set(this.ptr + index, value)\\n //[1, value, 2, 3]\\n this.length++\\n }\",\n \"replace(/*MinHeapNode*/ root) {\\n this.harr[0] = root;\\n this.heapify(0);\\n }\",\n \"insert(element) {\\n this.values.push(element)\\n this._bubbleUp()\\n }\",\n \"enqueue(value, priority) {\\n let newElement = new Node(value, priority);\\n if (!this.root) {\\n this.root = newElement;\\n return this;\\n }\\n\\n const queue = new Queue(this.root);\\n while (queue.peek()) {\\n // loop while there are not empty spaces | ensures that the queue is as compact as possible\\n const node = queue.dequeue();\\n if (node.left) queue.enqueue(node.left);\\n else {\\n // I can insert on the left\\n newElement.parent = node;\\n node.left = newElement;\\n this._updateLowestPriority(newElement);\\n this._bubbleUp(newElement);\\n return this;\\n }\\n if (node.right) queue.enqueue(node.right);\\n else {\\n //I can insert on the right\\n newElement.parent = node;\\n node.right = newElement;\\n this._updateLowestPriority(newElement);\\n this._bubbleUp(newElement);\\n return this;\\n }\\n }\\n }\",\n \"enqueue(element, priority){\\n var newElement = new QueueEntry(element, priority);\\n var valueExists = false; \\n\\n for(var i = 0; i < this.items.length; i++){\\n if(this.items[i].priority > newElement.priority) {\\n this.items.splice(i, 0, newElement);\\n valueExists = true; \\n break; \\n }\\n }\\n if(!valueExists){\\n this.items.push(newElement);\\n }\\n }\",\n \"insert(value){\\n let node = new Node(value);\\n node.next = this.head;\\n this.head = node;\\n }\",\n \"push(val){\\n var newNode = new Node(val);\\n if(this.isEmpty()){\\n this.top = newNode;\\n this.bottom = newNode;\\n }\\n else{\\n newNode.next = this.top;\\n this.top = newNode;\\n }\\n this.length++;\\n return this;\\n }\",\n \"insert(data) {\\n const node = new Node(data, this.head);\\n this.head = node;\\n }\",\n \"insert(priority, data) {\\n this.fpq.add({priority, data});\\n }\",\n \"push(val) {\\n\\n\\n }\",\n \"function insertSorted(arr, val) {\\n arr.push(val);\\n var i = arr.length - 1;\\n while (i > 0 && arr[i - 1] > val) {\\n arr[i] = arr[i - 1];\\n i--;\\n }\\n arr[i] = val;\\n}\",\n \"insert(index, val){\\n if(index < 0 || index > this.length) return undefined;\\n if(index === 0) return !!this.unshifting(val);\\n if(index === this.length) return !!this.push(val);\\n \\n let newNode = new Node(val);\\n let beforeNode = this.get(index-1);\\n let afterNode = beforeNode.next;\\n\\n beforeNode.next = newNode;\\n newNode.prev = beforeNode;\\n afterNode.prev = newNode;\\n newNode.next = afterNode;\\n\\n this.length++;\\n console.log(true);\\n }\",\n \"insert(key, obj)\\r\\n {\\r\\n this.#table[int(this.#hash(key) & this.#divisor)].push(new HashEntry(key, obj));\\r\\n this.#count++;\\r\\n }\",\n \"function heap(a, lo, hi) {\\n\\t var n = hi - lo,\\n\\t i = (n >>> 1) + 1;\\n\\t while (--i > 0) sift(a, i, n, lo);\\n\\t return a;\\n\\t }\",\n \"push(value) {\\n const newNode = new Node(value);\\n //validamos si el stack está vacio\\n if (this.length === 0) {\\n this.top = newNode;\\n this.bottom = newNode;\\n } else {\\n /**\\n * al agregar un nuevo elemento, el node que en este momento esta en el top debe dejar de ser el top y el nuevo elemento\\n * se convertirá en el top\\n */\\n const holdingPointer = this.top;\\n //el newNode se convierte en el top del stack\\n this.top = newNode;\\n //top.next representa al nodo que está debajo del top\\n this.top.next = holdingPointer;\\n }\\n\\n this.length++;\\n\\n return this;\\n }\",\n \"insert(index, value) {\\n if (index >= this.length) {\\n return this.append(value);\\n }\\n\\n const node = new Node(value);\\n const leader = this.traverseToIndex(index - 1);\\n const holdingPointer = leader.next;\\n leader.next = node;\\n node.next = holdingPointer;\\n this.length++;\\n return this.printList();\\n }\",\n \"insert(index, value) {\\n if (index < 0 || index > this.length) {\\n return false;\\n } else if (index === 0) {\\n return this.unshift(value);\\n } else if (index === this.length) {\\n return this.push(value);\\n } else {\\n const newNode = new Node(value);\\n let prev = this.get(index - 1);\\n let curr = prev.next;\\n prev.next = newNode;\\n newNode.next = curr;\\n this.length++;\\n return this;\\n }\\n }\",\n \"buildHeap(left, right) {\\r\\n var x = this.values[left];\\r\\n var i = left;\\r\\n\\r\\n while(true) {\\r\\n let j = 2 * i;\\r\\n if (j > right) break;\\r\\n if ((j < right) && (Item.compare(this.values[j + 1], this.values[j]) >= 0)) {\\r\\n j++;\\r\\n }\\r\\n\\r\\n if (Item.compare(x, this.values[j]) >= 0) break;\\r\\n let temp = this.values[i];\\r\\n this.values[i] = this.values[j];\\r\\n this.values[j] = temp;\\r\\n\\r\\n this.values[i].selected = true;\\r\\n this.printStorage.pushTimedPrint(this.values);\\r\\n this.values[i].selected = false;\\r\\n i = j;\\r\\n }\\r\\n\\r\\n this.values[i] = x;\\r\\n\\r\\n this.values[i].selected = true;\\r\\n this.printStorage.pushTimedPrint(this.values);\\r\\n this.values[i].selected = false;\\r\\n }\",\n \"push(value) {\\n ListNode.link(this.tail.prev, new ListNode(value));\\n this.length ++;\\n }\",\n \"push(value) {\\n if (this.size == 0) {\\n this.front = new LinkedListNode(value);\\n this.back = this.front;\\n } else {\\n this.back.next = new LinkedListNode(value);\\n this.back = this.back.next;\\n }\\n this.size++;\\n }\",\n \"insert(k, v) {\\n var index = getIndexBelowMaxForKey(k, this._limit);\\n if (Array.isArray(this._storage[index])) {\\n var oldIndex = this._storage[index].findIndex(function(pair) {\\n return pair[0] === k; \\n });\\n if (oldIndex >= 0) {\\n this._storage[index][oldIndex].splice(1, 1, v);\\n } else if (oldIndex === -1) {\\n this._storage[index].push([k, v]);\\n }\\n\\n } else {\\n this._storage[index] = [[k, v]]; \\n }\\n //constant if no collision else linear\\n }\",\n \"push(val){\\n let newNode = new Node(val);\\n if(!this.first) {\\n this.first = newNode;\\n this.last = newNode;\\n } else {\\n let oldFirst = this.first;\\n this.first = newNode;\\n this.first.next = oldFirst;\\n }\\n return ++this.size; \\n }\",\n \"insert(key, value) {\\n let hash = hashFunction(key);\\n if(this.table[hash] === null) {\\n this.table[hash] = new LinkedData(key, value);\\n return true;\\n }\\n else {\\n let head = this.table[hash];\\n while(head.next !== null) head = head.next;\\n head.next = new LinkedData(key, value);\\n return true;\\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.863833","0.8331561","0.8072703","0.8005249","0.7808851","0.7681502","0.7637742","0.75567305","0.75504696","0.7541238","0.751654","0.74698555","0.7361416","0.734068","0.71542877","0.7149954","0.71396136","0.7095043","0.70502484","0.70256126","0.6946853","0.6905115","0.6869419","0.68442136","0.6833562","0.6806596","0.6759595","0.67296135","0.67260015","0.672379","0.6701905","0.66944844","0.6634053","0.6627262","0.65436083","0.6518966","0.65167624","0.65120023","0.6511806","0.6501889","0.6496654","0.64791894","0.64579725","0.6454874","0.6441015","0.64368397","0.6416161","0.64151984","0.64044183","0.636769","0.6365101","0.6362858","0.6360245","0.63431966","0.6339929","0.6310419","0.6301537","0.6274993","0.62709904","0.6270006","0.62691367","0.62672734","0.6252719","0.6249277","0.62226737","0.6209372","0.6204512","0.6164609","0.61596674","0.6158491","0.615456","0.61528337","0.61496437","0.61493427","0.6148515","0.6139815","0.6139669","0.61382455","0.613205","0.6104002","0.6099081","0.6098917","0.6087798","0.6074264","0.6071602","0.6064767","0.6057246","0.60561955","0.6055963","0.6055622","0.6047691","0.60388327","0.60331166","0.6027156","0.6023851","0.6023145","0.6022469","0.601703","0.6014558","0.6013258"],"string":"[\n \"0.863833\",\n \"0.8331561\",\n \"0.8072703\",\n \"0.8005249\",\n \"0.7808851\",\n \"0.7681502\",\n \"0.7637742\",\n \"0.75567305\",\n \"0.75504696\",\n \"0.7541238\",\n \"0.751654\",\n \"0.74698555\",\n \"0.7361416\",\n \"0.734068\",\n \"0.71542877\",\n \"0.7149954\",\n \"0.71396136\",\n \"0.7095043\",\n \"0.70502484\",\n \"0.70256126\",\n \"0.6946853\",\n \"0.6905115\",\n \"0.6869419\",\n \"0.68442136\",\n \"0.6833562\",\n \"0.6806596\",\n \"0.6759595\",\n \"0.67296135\",\n \"0.67260015\",\n \"0.672379\",\n \"0.6701905\",\n \"0.66944844\",\n \"0.6634053\",\n \"0.6627262\",\n \"0.65436083\",\n \"0.6518966\",\n \"0.65167624\",\n \"0.65120023\",\n \"0.6511806\",\n \"0.6501889\",\n \"0.6496654\",\n \"0.64791894\",\n \"0.64579725\",\n \"0.6454874\",\n \"0.6441015\",\n \"0.64368397\",\n \"0.6416161\",\n \"0.64151984\",\n \"0.64044183\",\n \"0.636769\",\n \"0.6365101\",\n \"0.6362858\",\n \"0.6360245\",\n \"0.63431966\",\n \"0.6339929\",\n \"0.6310419\",\n \"0.6301537\",\n \"0.6274993\",\n \"0.62709904\",\n \"0.6270006\",\n \"0.62691367\",\n \"0.62672734\",\n \"0.6252719\",\n \"0.6249277\",\n \"0.62226737\",\n \"0.6209372\",\n \"0.6204512\",\n \"0.6164609\",\n \"0.61596674\",\n \"0.6158491\",\n \"0.615456\",\n \"0.61528337\",\n \"0.61496437\",\n \"0.61493427\",\n \"0.6148515\",\n \"0.6139815\",\n \"0.6139669\",\n \"0.61382455\",\n \"0.613205\",\n \"0.6104002\",\n \"0.6099081\",\n \"0.6098917\",\n \"0.6087798\",\n \"0.6074264\",\n \"0.6071602\",\n \"0.6064767\",\n \"0.6057246\",\n \"0.60561955\",\n \"0.6055963\",\n \"0.6055622\",\n \"0.6047691\",\n \"0.60388327\",\n \"0.60331166\",\n \"0.6027156\",\n \"0.6023851\",\n \"0.6023145\",\n \"0.6022469\",\n \"0.601703\",\n \"0.6014558\",\n \"0.6013258\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.765279"},"document_rank":{"kind":"string","value":"6"}}},{"rowIdx":180,"cells":{"query":{"kind":"string","value":"remove a specific value from the heap"},"document":{"kind":"string","value":"remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.minHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["remove() {\n // Swap root value with last element in the heap\n // Pop the last element from heap array\n // Perform siftDown to correct position of swapped value\n // Return popped value\n this.swap(0, this.heap.length - 1, this.heap);\n const valueToRemove = this.heap.pop();\n this.siftDown(0, this.heap.length - 1, this.heap);\n \n return valueToRemove;\n }","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","removeMin() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","remove() {\n if (this.isEmpty()) return;\n this.swap(0, this.store.length - 1);\n const { value } = this.store.pop();\n if (!this.isEmpty()) this.heapDown(0);\n return value;\n }","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","remove(element,comparator=this.compare){\r\n let totalOccurenceOfElement=this.find(element,comparator).length;\r\n for(let i=0;i<totalOccurenceOfElement;i++){\r\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\r\n let heapSize=this.heapContainer.length;\r\n // if the element is at last index simply remove it as we\r\n // don't need to haepify\r\n if(removeIndex===heapSize-1){\r\n this.heapContainer.pop();\r\n }\r\n else{\r\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \r\n this.heapContainer.pop();\r\n let parentElement=this.getParent(removeIndex);\r\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\r\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\r\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\r\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \r\n // down side\r\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\r\n this.heapifyDown(removeIndex);\r\n }\r\n else{\r\n this.heapifyUp(removeIndex);\r\n }\r\n }\r\n \r\n }\r\n return this;\r\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","delMin() {\n /*\n * Save reference to the min key.\n * Swap the min key with the last key in the heap.\n * Decrement n so that the key does not swim back up the heap.\n * Sink down the heap to fix any violations that have arisen.\n * Delete the min key to prevent loitering, and return its reference.\n */\n let min = this.heap[1];\n\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\n this.n--;\n this.sink(1);\n this.heap[this.n+1] = null;\n\n return min;\n }","remove(item) {\n // Find number of items to remove.\n const numberOfItemsToRemove = this.find(item).length;\n\n for (let iteration = 0; iteration < numberOfItemsToRemove; iteration += 1) {\n // We need to find item index to remove each time after removal since\n // indices are being changed after each heapify process.\n const indexToRemove = this.find(item).pop();\n\n // If we need to remove last child in the heap then just remove it.\n // There is no need to heapify the heap afterwards.\n if (indexToRemove === this.heapContainer.length - 1) {\n this.heapContainer.pop();\n } else {\n // Move last element in heap to the vacant (removed) position.\n this.heapContainer[indexToRemove] = this.heapContainer.pop();\n\n // Get parent.\n const parentItem = this.parent(indexToRemove);\n\n // If there is no parent or parent is in correct order with the node\n // we're going to delete then heapify down. Otherwise heapify up.\n if (\n this.hasLeftChild(indexToRemove) &&\n (!parentItem || parentItem <= this.heapContainer[indexToRemove])\n ) {\n this.heapifyDown(indexToRemove);\n } else {\n this.heapifyUp(indexToRemove);\n }\n }\n }\n\n return this;\n }","deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.length === 2) return this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\n\n let max = this.array[1];\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// save reference to root value (max)\n\n this.array[1] = this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t // remove last val in array (farthest right node in tree), and update root value with it\n\n this.siftDown(1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\n\n return max;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// return max value\n }","pop(){\r\n if (this.top === -1){\r\n return undefined;\r\n }else{\r\n delete this.storage[this.top];\r\n this.top -= 1;\r\n }\r\n }","pop(value) {\n if (!this.length) {\n return null;\n }\n const deletedValue = this.stackData.pop();\n this.length--;\n if (!this.length) {\n this.bottom = null;\n this.top = null;\n }\n return deletedValue;\n }","heapDown(index) {\n const [leftIndex, rightIndex] = this.children(index);\n \n if (!leftIndex && !rightIndex) return;\n\n let min;\n rightIndex ? min = rightIndex : min = leftIndex;\n if ((leftIndex && rightIndex) &&\n this.store[leftIndex].key < this.store[rightIndex].key) {\n min = leftIndex;\n }\n\n if (this.store[index].key > this.store[min].key) {\n this.swap(index, min);\n this.heapDown(min);\n }\n }","removeNode (value) {\n this.nodes.delete(value)\n this.nodes.forEach(node => {\n if (node.includes(value)) {\n let newNodes = node.filter(item => item !== value)\n while (node.length > 0) {\n node.pop()\n }\n newNodes.forEach(item => node.push(item))\n }\n })\n }","remove(key) {\n this.storage.set(getIndexBelowMax(key), undefined);\n }","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","removeByValue (value) {\n\t\tthis.remove(this.findFirst(value));\n\t}","function remove() {\n var index = Math.floor(Math.random() * values.length);\n console.log(\"DEL \" + values[index]);\n tree.remove(values[index]);\n values.splice(index, 1);\n}","delete(value) {\n if (this.head.back === this.head && this.head.value === value) {\n this.head = null;\n } else {\n let temp = this.head;\n\n while (temp.value !== value) {\n if (temp.forward.value <= temp.value) {\n return false;\n }\n temp = temp.forward;\n }\n\n temp.back.forward = temp.forward;\n temp.forward.back = temp.back;\n\n if (temp === this.head) {\n this.head = temp.forward;\n }\n\n delete this.temp;\n }\n this.size--;\n return true;\n }","pop() {\n //delete the current top values within the stack\n delete this.items[this.top];\n //deduct 1 from the top to show the new top index\n this.top = this.top -1;\n }","extract() {\n\t\tif (this.isEmpty()) {\n\t\t\treturn null;\n\t\t}\n\n\t\tif (this.size() === 1) {\n\t\t\treturn this.heap.shift();\n\t\t}\n\t\tconst removedValue = this.heap[0];\n\t\tthis.heap[0] = this.heap.pop();\n\t\tthis.siftDown(0);\n\t\treturn removedValue;\n\t}","function heapDeleteRoot()\n{\n\tif (!this.isEmpty()) { \n\t\t// save root key and item pair\n\t\tvar root = [ this.h[1], this.h_item[1] ]; \n }\n\telse { //if heap is empty\n\t\treturn \"The heap is empty\";\n\t}\n\t// ... complete\n\tthis.h_item[1] = this.h_item[this.size];\n\n this.h[1] = this.h[this.size];\n this.heapify(1);\n\t\n //decrease the heap size by 1 since we delete from it\n this.size = this.size-1;\n\n\treturn root;\n}","remove(key) {\n\n // getIndexBelowMax(this.storage[key]);\n }","remove(value) {\n if (this.head === null) return;\n\n if (this.head.data === value) this.removeFirst();\n\n let prev = this.head;\n let cur = this.head;\n while (cur !== null && cur.data !== value) {\n prev = cur;\n cur = cur.next;\n }\n if (cur !== null) prev.next = cur.next;\n }","function pqdownheap(tree, k) {\n\t\tvar v = heap[k],\n\t\t\tj = k << 1; // left son of k\n\n\t\twhile (j <= heap_len) {\n\t\t\t// Set j to the smallest of the two sons:\n\t\t\tif (j < heap_len && SMALLER(tree, heap[j + 1], heap[j])) {\n\t\t\t\tj++;\n\t\t\t}\n\n\t\t\t// Exit if v is smaller than both sons\n\t\t\tif (SMALLER(tree, v, heap[j])) {\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\t// Exchange v with the smallest son\n\t\t\theap[k] = heap[j];\n\t\t\tk = j;\n\n\t\t\t// And continue down the tree, setting j to the left son of k\n\t\t\tj <<= 1;\n\t\t}\n\t\theap[k] = v;\n\t}","remove(value) {\n let currentNode = this.head;\n\n if (currentNode !== null) {\n if (currentNode.data == value) {\n this.head = currentNode.next;\n this.size--;\n } else {\n let previousNode;\n\n while (currentNode && currentNode.data !== value) {\n previousNode = currentNode;\n currentNode = currentNode.next;\n }\n\n if (currentNode && previousNode) {\n previousNode.next = currentNode.next;\n this.size--;\n } else {\n return `Given ${value} value not found !!!`;\n }\n }\n }\n }","delete(val) {\n let ind = this.values.indexOf(val)\n if(this.has(val)) {\n this.values.splice(ind, 1);\n }\n }","heapifyDown(){\n let idx = 0,\n element = this.values[idx],\n swap,\n leftChildIdx,\n rightChildIdx,\n leftChild,\n rightChild;\n while (true){\n swap = null;\n leftChildIdx = (2 * idx) + 1;\n rightChildIdx = (2 * idx) + 2;\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\n swap = leftChildIdx\n }\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\n swap = rightChildIdx;\n }\n if (swap === null) break;\n this.values[idx] = this.values[swap];\n this.values[swap] = element;\n idx = swap; \n } \n }","removekey(value) {\n\n this.root = this.remove(this.root, value)\n\n }","remove() {\n if (this.isEmpty()) throw new Error('Queue is empty!');\n const value = this.first.value;\n this.first = this.first.next;\n this.size--;\n return value;\n }","function pop(arr, value) {\n var index = arr.indexOf(value);\n if (index > -1) {\n arr.splice(index, 1);\n }\n return arr;\n}","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","removeValue(value) {\n\t\tlet currentNode = this.head\n\t\tlet index = 0\n\n\t\twhile (value != currentNode.value) {\n\t\t\tcurrentNode = currentNode.next\n\t\t\tindex++\n\t\t}\n\t\treturn this.remove(index)\n\t}","removeNode() {\n let root;\n if (!this.data.length) {\n return;\n }\n if (this.data.length === 1) {\n root = this.data.pop();\n } else {\n root = this.data[0];\n this.data[0] = this.data[this.data.length - 1];\n this.data = this.data.slice(0, this.data.length - 1);\n }\n\n this.usage.delete(root);\n this.heapifyDown(0);\n this.store.setItem(this.key + \"_searchData\", this.data);\n this.store.setItem(this.key + \"_searchUsageMap\", this.usage);\n return root;\n }","function remove(root, value) {\n //Exits and link updating/traversal is similar to \"put\"\n if (root == null) return null;\n\n if (value < root.value) root.left = remove(root.left, value);\n else if (value > root.value) root.right = remove(root.right, value);\n else {\n\n //Cases: 0, 1 or multiple children\n //0: Drop parent link\n //1: Linked list style, replace parent\n //2: Find successor of t, delete minimum in t's right subtree, x in t's original spot\n\n if (root.right == null) return root.left;\n if (root.left == null) return root.right;\n var t = _.cloneDeep(root);\n root = min(t.right);\n root.right = deleteMin(t.right);\n root.left = t.left;\n }\n root.size = size(root.left) + size(root.right) + 1;\n return root;\n}","remove(value) {\n this.root = this.removeVisitor(this.root, value)\n }","siftDown(index) {\n\t\tlet element = index;\n\t\tconst left = this.getLeftIndex(index);\n\t\tconst right = this.getRightIndex(index);\n\t\tconst size = this.size();\n\t\tif (\n\t\t\tleft < size &&\n\t\t\tthis.compareFn(this.heap[element], this.heap[left]) ===\n\t\t\t\tCompare.BIGGER_THAN\n\t\t) {\n\t\t\telement = left;\n\t\t}\n\t\tif (\n\t\t\tright < size &&\n\t\t\tthis.compareFn(this.heap[element], this.heap[right]) ===\n\t\t\t\tCompare.BIGGER_THAN\n\t\t) {\n\t\t\telement = right;\n\t\t}\n\t\tif (index !== element) {\n\t\t\tswap(this.heap, index, element);\n\t\t\tthis.siftDown(element);\n\t\t}\n\t}","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","remove(value) {\n this.root = this.removeNode(thisroot, value);\n }","remove(value) {\n let currentNode = this.head;\n\n while (currentNode.next.value !== value) {\n currentNode = currentNode.next;\n }\n const removed = currentNode.next.value;\n currentNode.next = currentNode.next.next;\n return removed;\n }","pop(value){\n if(!this.first) return null;\n var removed;\n if(this.length===1){\n removed = this.first;\n this.first= null;\n this.last = null\n }\n else {\n removed = this.first;\n this.first= this.first.next;\n \n }\n this.length--;\n return removed;\n\n }","pop(){\n if (!this.head) {\n return null;\n }\n var removed = this.head.value;\n this.head = this.head.next;\n this.length--;\n return removed;\n }","modify(item, priority) {\n let location = this.locations.get(this.hash(item));\n\n if (location === null || location === undefined)\n throw Error(\"This object doesn't exist in the heap\");\n\n // remove and re-add\n let heapItem = this.heap.splice(location, 1);\n this.locations.delete(this.hash(heapItem));\n\n // modify\n if (this.priorityName) {\n heapItem = item;\n heapItem[this.priorityName] = priority;\n }\n else\n heapItem = priority;\n\n // add to beginning and sink\n this.heap.unshift(item);\n this.locations.set(this.hash(item), 0);\n this.heapify(0);\n }","function minheap_extract(heap) {\n swap(heap,0,heap.length - 1);\n var to_pop = heap.pop();\n var parent = 0;\n var child = parent * 2 + 1;\n while(child < heap.length){\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\n child = child + 1;\n }\n if(heap[child] < heap[parent]){\n swap(heap,child,parent);\n parent = child;\n child = parent * 2 + 1; \n }\n else{\n break;\n }\n }\n return to_pop;\n // STENCIL: implement your min binary heap extract operation\n}","remove(key) {\r\n const hash = this.calculateHash(key);\r\n if(this.values.hasOwnProperty(hash) && this.values[hash].hasOwnProperty(key)) {\r\n delete this.values[hash][key];\r\n this.numberOfValues--;\r\n }\r\n }","remove(k) {\n var index = getIndexBelowMaxForKey(k, this._limit);\n var indexBucket = this._storage.get(index);\n for (var i = 0; i < indexBucket.length; i ++) {\n if (indexBucket[i][0] === k) {\n return indexBucket.splice(i, 1);\n }\n }\n }","remove(val) {\n let index = this.head;\n\n while (index != null) {\n if (index.val == val) {\n index.prev.next = index.next;\n index.next.prev = index.prev;\n this.size -= 1;\n return this;\n }\n\n index = index.next;\n }\n }","insert(value) {\n // Insert value to the end of array\n // Perform siftUp to correct position of value in the heap tree\n this.heap.push(value);\n this.siftUp(this.heap.length - 1, this.heap);\n }","extractMin() {\r\n\t\tconst min = this.heap[0];\r\n\t\tthis.remove(min);\r\n\t\treturn min;\r\n\t}","dequeue() {\n const [next] = this.values;\n this.values[0] = this.values.pop();\n let childLeft, childRight;\n let curr = 0;\n while (true) {\n let childLeftIdx = 2 * curr + 1;\n let childRightIdx = childLeft + 1;\n let swap = null;\n if (childLeftIdx < this.values.length) {\n childLeft = this.values[childLeftIdx];\n if (childLeft.priority > this.values[curr].priority) {\n swap = childLeft;\n }\n\n if (childRightIdx < this.values.length) {\n childRight = this.values[childRight];\n if (\n (swap === null &&\n childRight.priority < this.values[curr].priority) ||\n (swap !== null && childRight < childLeft.priority)\n ) {\n swap = childRightIdx;\n }\n }\n\n if (swap === null) break;\n const temp = this.values[curr];\n this.values[curr] = this.values[swap];\n this.values[swap] = temp;\n curr = swap;\n }\n }\n }","function heap(a, lo, hi) {\n\t var n = hi - lo,\n\t i = (n >>> 1) + 1;\n\t while (--i > 0) sift(a, i, n, lo);\n\t return a;\n\t }","function minheap_extract(heap) \n{\n var PrintE;\n PrintE = heap[0];\n heap[0] = heap[heap.length - 1];\n\n var a,large;\n var temp = heap.pop();\n for (a=0;a<heap.length;a=large)\n {\n if (2*a+2>heap.length)\n {break;}\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\n {\n if (heap[a]>heap[2*a+2])\n {\n temp = heap [a];\n heap[a] = heap[2*a+2];\n heap[2*a+2] = temp; \n large = 2*a+2; \n }\n else\n {break;}\n }\n else\n {\n if (heap[a]>heap[2*a+1])\n {\n temp = heap [2*a+1];\n heap[2*a+1] = heap[a];\n heap[a] = temp; \n large = 2*a+1;\n }\n else\n {break;}\n }\n }\n return PrintE;\n}","Dequeue() {\r\n if (this.heap.length == 0) return;\r\n const highestPriority = this.heap[0];\r\n const leastPriority = this.heap[this.heap.length - 1];\r\n //swap first and last priority\r\n this.heap[this.heap.length - 1] = highestPriority;\r\n this.heap[0] = leastPriority;\r\n this.heap.pop();\r\n let nodeIndex = 0; //sink down\r\n while (true) {\r\n const left = this.heap[2 * nodeIndex + 1];\r\n const right = this.heap[2 * nodeIndex + 2];\r\n const leastElement = this.heap[nodeIndex];\r\n if (\r\n right &&\r\n right.priority < left.priority &&\r\n right.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 2] = leastElement;\r\n this.heap[nodeIndex] = right;\r\n nodeIndex = 2 * nodeIndex + 2;\r\n } else if (\r\n left &&\r\n left.priority < right.priority &&\r\n left.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 1] = leastElement;\r\n this.heap[nodeIndex] = left;\r\n nodeIndex = 2 * nodeIndex + 1;\r\n } else {\r\n break;\r\n }\r\n }\r\n\r\n return highestPriority;\r\n }","remove(tree){\n let replaceWith;\n if(this.left && this.right){\n const next = this.right.getLeftmostChild();\n this.low = next.low;\n this.high = next.high;\n this.intervals = next.intervals;\n this.removeUpdateLimits();\n next.handleRemoval(tree); \n }else{\n this.handleRemoval(tree);\n }\n }","pop(val) {\n const lastValIndex = this._length - 1;\n if (lastValIndex >= 0) {\n const lastVal = this._storage[lastValIndex];\n delete this._storage[lastValIndex];\n this._length--;\n return lastVal;\n }\n return false;\n }","function heap(a, lo, hi) {\n var n = hi - lo,\n i = (n >>> 1) + 1;\n while (--i > 0) sift(a, i, n, lo);\n return a;\n }","remove(value) {\n if (this.size == 0) throw new Error('Linked list is empty');\n if (this.front.value == value) {\n this.front = this.front.next;\n if (this.size == 1) {\n this.back = this.front;\n }\n this.size--;\n return value;\n }\n let curr = this.front;\n while (curr.next) {\n if (curr.next.value == value) {\n curr.next = curr.next.next;\n if (this.back.value == value) {\n this.back = curr;\n }\n this.size--;\n return value;\n } else {\n curr = curr.next; \n }\n }\n return null; \n }","static removeValue(array, value) {\n for (var tI = array.length - 1; tI >= 0; tI--) {\n if (array[tI] === value) {\n array.splice(tI, 1);\n return tI;\n }\n }\n }","function heapDown(i) {\n\t var w = heapWeight(i)\n\t while(true) {\n\t var tw = w\n\t var left = 2*i + 1\n\t var right = 2*(i + 1)\n\t var next = i\n\t if(left < heapCount) {\n\t var lw = heapWeight(left)\n\t if(lw < tw) {\n\t next = left\n\t tw = lw\n\t }\n\t }\n\t if(right < heapCount) {\n\t var rw = heapWeight(right)\n\t if(rw < tw) {\n\t next = right\n\t }\n\t }\n\t if(next === i) {\n\t return i\n\t }\n\t heapSwap(i, next)\n\t i = next \n\t }\n\t }","function heapDown(i) {\n\t var w = heapWeight(i)\n\t while(true) {\n\t var tw = w\n\t var left = 2*i + 1\n\t var right = 2*(i + 1)\n\t var next = i\n\t if(left < heapCount) {\n\t var lw = heapWeight(left)\n\t if(lw < tw) {\n\t next = left\n\t tw = lw\n\t }\n\t }\n\t if(right < heapCount) {\n\t var rw = heapWeight(right)\n\t if(rw < tw) {\n\t next = right\n\t }\n\t }\n\t if(next === i) {\n\t return i\n\t }\n\t heapSwap(i, next)\n\t i = next \n\t }\n\t }","removeByValue(value) {\n return this.delete(this.getIndexOf(value));\n }","function pqdownheap(s, tree, k) // deflate_state *s;\n // ct_data *tree; /* the tree to restore */\n // int k; /* node to move down */\n {\n var v = s.heap[k];\n var j = k << 1;\n /* left son of k */\n\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n\n\n if (smaller(tree, v, s.heap[j], s.depth)) {\n break;\n }\n /* Exchange v with the smallest son */\n\n\n s.heap[k] = s.heap[j];\n k = j;\n /* And continue down the tree, setting j to the left son of k */\n\n j <<= 1;\n }\n\n s.heap[k] = v;\n }","function pqdownheap(s, tree, k) // deflate_state *s;\n // ct_data *tree; /* the tree to restore */\n // int k; /* node to move down */\n {\n var v = s.heap[k];\n var j = k << 1;\n /* left son of k */\n\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n\n\n if (smaller(tree, v, s.heap[j], s.depth)) {\n break;\n }\n /* Exchange v with the smallest son */\n\n\n s.heap[k] = s.heap[j];\n k = j;\n /* And continue down the tree, setting j to the left son of k */\n\n j <<= 1;\n }\n\n s.heap[k] = v;\n }","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","Remove(int, int) {\n\n }","swim(k) {\n while (k > 1 && this.heap[Math.floor(k/2)].priority > this.heap[k].priority) {\n /*\n * While not at root node, swap k (parent) with k/2 (child) if\n * parent > child. Continue swimming upwards until the invariant holds.\n */\n [this.heap[k], this.heap[Math.floor(k/2)]]\n = [this.heap[Math.floor(k/2)], this.heap[k]];\n k = Math.floor(k / 2);\n }\n }","remove(index_num){\n if(index_num<0 || index_num>=this.length) return undefined;\n if(index_num===0) return this.shift();\n if(index_num===this.length-1) return this.pop();\n\n let before_position = this.get(index_num-1); // 1. we neet to find item at the position one before!!\n let removed = before_position.next;\n before_position.next = removed.next;\n this.length -=1;\n console.log(\"REMOVE - true\");\n return removed;\n }","remove(val) {\n\n }","remove(index) {\n // accept an index.\n // check if the index is less than zero greate than the length and return undefined. \n if(index < 0 || index > this.length) { \n return undefined;\n }\n // if this index is the same as the length - -1 pop\n if(index === this.length - 1 ) { \n return this.pop();\n }\n // if the index is 0 shift. \n if(index === 0) {\n return this.shift();\n }\n // get the node before the target index. \n let beforeTargetNode = this.get(index - 1);\n // set the nedxt prop to the beforeNode to the next of the removednNode. \n let targetNode = this.get(index);\n beforeTargetNode.next = targetNode.next;\n // Decrement the length\n this.length--;\n // return the value of the removedNode\n return targetNode;\n }","remove(key) {\n let hash = this.hash(key);\n let slot = this.internalArray[hash];\n\n while (slot && slot.key !== key) {\n slot = this.internalArray[++hash % this.INTERNAL_ARRAY_SIZE];\n }\n\n if (slot) {\n const temp = slot.value;\n this.internalArray[hash % this.INTERNAL_ARRAY_SIZE] = null;\n this.counter--;\n this.reHash();\n return temp;\n } else {\n return undefined;\n }\n }","function heapDown(i) {\n var w = heapWeight(i)\n while(true) {\n var tw = w\n var left = 2*i + 1\n var right = 2*(i + 1)\n var next = i\n if(left < heapCount) {\n var lw = heapWeight(left)\n if(lw < tw) {\n next = left\n tw = lw\n }\n }\n if(right < heapCount) {\n var rw = heapWeight(right)\n if(rw < tw) {\n next = right\n }\n }\n if(next === i) {\n return i\n }\n heapSwap(i, next)\n i = next \n }\n }","extractMax() {\r\n\t\tconst max = this.heap[0];\r\n\t\tthis.remove(max);\r\n\t\treturn max;\r\n\t}","pop() {\n if (!this.first)\n return null;\n const nodeToRemove = this.first;\n this.first = this.first.next;\n this.size--;\n return nodeToRemove.value;\n }","function pqdownheap(s, tree, k) // deflate_state *s;\n// ct_data *tree; /* the tree to restore */\n// int k; /* node to move down */\n{\n var v = s.heap[k];\n var j = k << 1;\n /* left son of k */\n\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n\n\n if (smaller(tree, v, s.heap[j], s.depth)) {\n break;\n }\n /* Exchange v with the smallest son */\n\n\n s.heap[k] = s.heap[j];\n k = j;\n /* And continue down the tree, setting j to the left son of k */\n\n j <<= 1;\n }\n\n s.heap[k] = v;\n}","delete(i) {\n\t\tea && assert(i > 0);\n\t\tif (!this.contains(i)) return;\n\t\tlet j = this.itemAt(this.#m--);\n\t\tif (i != j) {\n\t\t\tif (this.#key[j] <= this.#key[i])\n\t\t\t\tthis.siftup(j, this.#pos[i]);\n\t\t\telse\n\t\t\t\tthis.siftdown(j, this.#pos[i]);\n\t\t}\n\t\tthis.#pos[i] = 0;\n\t}","remove() {\n if (!this.value) {\n this.value = this.min || 0;\n }\n const step = this.ctrl_key ? 100 : this.shift_key ? 10 : this.step || 1;\n this.value -= step;\n if (this.value < this.min) {\n this.value = this.min || 0;\n }\n this.setValue(this.value);\n }","remove(index) {\n //if index > length or smaller then zero then return false\n if (index >= this.length || index < 0) {\n return undefined;\n }\n //if index is equal to 0 then add a new element in front {use unshifting method}\n if (index === 0) {\n return this.shifting();\n\n } else\n //if index is equal to length then add a new element in last {use push method }\n if (this.length === index - 1) {\n return this.pop();\n\n }\n //store the index-1 node as pervious and index-node[to be removed node] as a deletenode\n let previousnode = this.get(index - 1);\n let deletenode = previousnode.next;\n //point the previous node ------> deletenodes.next \n /* [ 12 ----> 34 -----> 45] set the pointer of 12 ---> to point the 45 // instead of 34 \n [ 12 -----> 45] \n */\n previousnode.next = deletenode.next;\n //decreament the list return the value\n this.length--;\n return deletenode.val;\n\n }","remove() {\n\t\tif(!this.head) return null;\n\t\tlet currentNode = this.head;\n\t\tlet data= this.head.value;\n\t\tlet holdingPointer;\n\t\tif (!this.head.next){\n\t\t\tthis.head = null;\n\t\t\tthis.length--;\n\t\t\treturn data;\n\t\t}\n\t\tif (currentNode){\n\t\t\twhile(currentNode.next){\n\t\t\t\tholdingPointer = currentNode;\n\t\t\t\tcurrentNode = currentNode.next;\n\t\t\t}\n\t\t\tdata = currentNode.value\n\t\t\tholdingPointer.next = null;\n\t\t}\n\t\tthis.length--;\n\t\treturn data;\n\t}","heapUp(index) {\n if (index <= 0) return;\n \n const parentIndex = this.parentIndex(index);\n if (this.store[index].key < this.store[parentIndex].key) {\n this.swap(index, parentIndex);\n this.heapUp(parentIndex);\n }\n }","removeNodesWithValue(value) {\n if(!this.head || value === undefined) return\n\n let curr = this.head, next\n while(curr) {\n next = curr.next\n if(curr.value === value) {\n this.remove(curr)\n }\n curr = next\n }\n }","dequeue() {\n if (this.count === 0) {\n return 0;\n }\n var firstIdx = Object.keys(this.storage)[0];\n var itemToRemove = this.storage[firstIdx];\n delete this.storage[firstIdx];\n this.count -= 1;\n return itemToRemove;\n }","remove(key) {\n const index = getIndexBelowMax(key.toString(), this.limit);\n const bucket = this.storage.get(index);\n if (Array.isArray(bucket)) {\n for (let i = 0; i < bucket.length; i++) {\n const objKey = bucket[i][0];\n if (objKey === key) {\n bucket.splice(i, 1);\n }\n }\n }\n }","function pqdownheap(s, tree, k)\n// deflate_state *s;\n// ct_data *tree; /* the tree to restore */\n// int k; /* node to move down */\n {\n var v = s.heap[k];\n var j = k << 1; /* left son of k */\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len &&\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\n\n /* Exchange v with the smallest son */\n s.heap[k] = s.heap[j];\n k = j;\n\n /* And continue down the tree, setting j to the left son of k */\n j <<= 1;\n }\n s.heap[k] = v;\n }","siftUp(currentIdx, heap) {\n // Get parentNode index of node at currentIdx\n let parentIdx = Math.floor((currentIdx - 1) / 2);\n\n // While not at root index\n // Compare value at parentIdx and currentIdx\n // If currentNode < parentNode\n // Peform swap\n // re-calculate currentIdx and parentIdx \n while (currentIdx > 0 && heap[currentIdx] < heap[parentIdx]) {\n this.swap(currentIdx, parentIdx, heap);\n currentIdx = parentIdx;\n parentIdx = Math.floor((currentIdx - 1) / 2);\n }\n }","function removeAt(arr, value) {\n return arr[value]\n}","remove (index) {\n if (index < 0 || index > this.length) {\n return undefined\n } \n if (index === this.length - 1) {\n return this.pop()\n }\n if (index === 0) {\n return this.shift()\n }\n\n let preceedingNode = this.get(index-1);\n let nodeToRemove = preceedingNode.next; \n let suceedingNode = nodeToRemove.next; \n\n preceedingNode.next = suceedingNode; \n\n this.length --; \n return nodeToRemove; \n }","remove(index) {\n if (index < 0 || index >= this.length) {\n return undefined;\n }\n if (index === this.length - 1) {\n return this.pop();\n } else if (index === 0) {\n return this.shift();\n }\n\n let temp = this.get(index - 1);\n let value = temp.next.val;\n temp.next = temp.next.next;\n this.length--;\n return value;\n }","function pqdownheap(s, tree, k)\n // deflate_state *s;\n // ct_data *tree; /* the tree to restore */\n // int k; /* node to move down */\n {\n var v = s.heap[k];\n var j = k << 1; /* left son of k */\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len &&\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\n \n /* Exchange v with the smallest son */\n s.heap[k] = s.heap[j];\n k = j;\n \n /* And continue down the tree, setting j to the left son of k */\n j <<= 1;\n }\n s.heap[k] = v;\n }","dequeue() {\n if (this.tail > this.head) {\n const value = this.storage[this.head];\n delete this.storage[this.head];\n this.head++;\n return value;\n } else {\n return null;\n }\n }","remove(value) {\n let currentNode = this.head;\n if (this.head.value === value) {\n const temp = this.head.value;\n this.head = this.head.next;\n return temp;\n }\n\n while (currentNode.next.value !== value) {\n currentNode = currentNode.next;\n }\n currentNode.next = currentNode.next.next;\n return this;\n }","function pqdownheap(s, tree, k)\n// deflate_state *s;\n// ct_data *tree; /* the tree to restore */\n// int k; /* node to move down */\n{\n var v = s.heap[k];\n var j = k << 1; /* left son of k */\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n if (smaller(tree, v, s.heap[j], s.depth)) {\n break;\n }\n\n /* Exchange v with the smallest son */\n s.heap[k] = s.heap[j];\n k = j;\n\n /* And continue down the tree, setting j to the left son of k */\n j <<= 1;\n }\n s.heap[k] = v;\n}","function pqdownheap(s, tree, k)\n// deflate_state *s;\n// ct_data *tree; /* the tree to restore */\n// int k; /* node to move down */\n{\n var v = s.heap[k];\n var j = k << 1; /* left son of k */\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len &&\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\n\n /* Exchange v with the smallest son */\n s.heap[k] = s.heap[j];\n k = j;\n\n /* And continue down the tree, setting j to the left son of k */\n j <<= 1;\n }\n s.heap[k] = v;\n}","function pqdownheap(s, tree, k)\n// deflate_state *s;\n// ct_data *tree; /* the tree to restore */\n// int k; /* node to move down */\n{\n var v = s.heap[k];\n var j = k << 1; /* left son of k */\n while (j <= s.heap_len) {\n /* Set j to the smallest of the two sons: */\n if (j < s.heap_len &&\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n j++;\n }\n /* Exit if v is smaller than both sons */\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\n\n /* Exchange v with the smallest son */\n s.heap[k] = s.heap[j];\n k = j;\n\n /* And continue down the tree, setting j to the left son of k */\n j <<= 1;\n }\n s.heap[k] = v;\n}"],"string":"[\n \"remove() {\\n // Swap root value with last element in the heap\\n // Pop the last element from heap array\\n // Perform siftDown to correct position of swapped value\\n // Return popped value\\n this.swap(0, this.heap.length - 1, this.heap);\\n const valueToRemove = this.heap.pop();\\n this.siftDown(0, this.heap.length - 1, this.heap);\\n \\n return valueToRemove;\\n }\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"removeMin() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"removeMax() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"remove() {\\n if (this.isEmpty()) return;\\n this.swap(0, this.store.length - 1);\\n const { value } = this.store.pop();\\n if (!this.isEmpty()) this.heapDown(0);\\n return value;\\n }\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"remove(element,comparator=this.compare){\\r\\n let totalOccurenceOfElement=this.find(element,comparator).length;\\r\\n for(let i=0;i<totalOccurenceOfElement;i++){\\r\\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\\r\\n let heapSize=this.heapContainer.length;\\r\\n // if the element is at last index simply remove it as we\\r\\n // don't need to haepify\\r\\n if(removeIndex===heapSize-1){\\r\\n this.heapContainer.pop();\\r\\n }\\r\\n else{\\r\\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \\r\\n this.heapContainer.pop();\\r\\n let parentElement=this.getParent(removeIndex);\\r\\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\\r\\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\\r\\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\\r\\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \\r\\n // down side\\r\\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\\r\\n this.heapifyDown(removeIndex);\\r\\n }\\r\\n else{\\r\\n this.heapifyUp(removeIndex);\\r\\n }\\r\\n }\\r\\n \\r\\n }\\r\\n return this;\\r\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"delMin() {\\n /*\\n * Save reference to the min key.\\n * Swap the min key with the last key in the heap.\\n * Decrement n so that the key does not swim back up the heap.\\n * Sink down the heap to fix any violations that have arisen.\\n * Delete the min key to prevent loitering, and return its reference.\\n */\\n let min = this.heap[1];\\n\\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\\n this.n--;\\n this.sink(1);\\n this.heap[this.n+1] = null;\\n\\n return min;\\n }\",\n \"remove(item) {\\n // Find number of items to remove.\\n const numberOfItemsToRemove = this.find(item).length;\\n\\n for (let iteration = 0; iteration < numberOfItemsToRemove; iteration += 1) {\\n // We need to find item index to remove each time after removal since\\n // indices are being changed after each heapify process.\\n const indexToRemove = this.find(item).pop();\\n\\n // If we need to remove last child in the heap then just remove it.\\n // There is no need to heapify the heap afterwards.\\n if (indexToRemove === this.heapContainer.length - 1) {\\n this.heapContainer.pop();\\n } else {\\n // Move last element in heap to the vacant (removed) position.\\n this.heapContainer[indexToRemove] = this.heapContainer.pop();\\n\\n // Get parent.\\n const parentItem = this.parent(indexToRemove);\\n\\n // If there is no parent or parent is in correct order with the node\\n // we're going to delete then heapify down. Otherwise heapify up.\\n if (\\n this.hasLeftChild(indexToRemove) &&\\n (!parentItem || parentItem <= this.heapContainer[indexToRemove])\\n ) {\\n this.heapifyDown(indexToRemove);\\n } else {\\n this.heapifyUp(indexToRemove);\\n }\\n }\\n }\\n\\n return this;\\n }\",\n \"deleteMax() {\\n // recall that we have an empty position at the very front of the array, \\n // so an array length of 2 means there is only 1 item in the heap\\n\\n if (this.array.length === 1) return null;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if no nodes in tree, exit\\n\\n if (this.array.length === 2) return this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\\n\\n let max = this.array[1];\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// save reference to root value (max)\\n\\n this.array[1] = this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // remove last val in array (farthest right node in tree), and update root value with it\\n\\n this.siftDown(1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\\n\\n return max;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// return max value\\n }\",\n \"pop(){\\r\\n if (this.top === -1){\\r\\n return undefined;\\r\\n }else{\\r\\n delete this.storage[this.top];\\r\\n this.top -= 1;\\r\\n }\\r\\n }\",\n \"pop(value) {\\n if (!this.length) {\\n return null;\\n }\\n const deletedValue = this.stackData.pop();\\n this.length--;\\n if (!this.length) {\\n this.bottom = null;\\n this.top = null;\\n }\\n return deletedValue;\\n }\",\n \"heapDown(index) {\\n const [leftIndex, rightIndex] = this.children(index);\\n \\n if (!leftIndex && !rightIndex) return;\\n\\n let min;\\n rightIndex ? min = rightIndex : min = leftIndex;\\n if ((leftIndex && rightIndex) &&\\n this.store[leftIndex].key < this.store[rightIndex].key) {\\n min = leftIndex;\\n }\\n\\n if (this.store[index].key > this.store[min].key) {\\n this.swap(index, min);\\n this.heapDown(min);\\n }\\n }\",\n \"removeNode (value) {\\n this.nodes.delete(value)\\n this.nodes.forEach(node => {\\n if (node.includes(value)) {\\n let newNodes = node.filter(item => item !== value)\\n while (node.length > 0) {\\n node.pop()\\n }\\n newNodes.forEach(item => node.push(item))\\n }\\n })\\n }\",\n \"remove(key) {\\n this.storage.set(getIndexBelowMax(key), undefined);\\n }\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"removeByValue (value) {\\n\\t\\tthis.remove(this.findFirst(value));\\n\\t}\",\n \"function remove() {\\n var index = Math.floor(Math.random() * values.length);\\n console.log(\\\"DEL \\\" + values[index]);\\n tree.remove(values[index]);\\n values.splice(index, 1);\\n}\",\n \"delete(value) {\\n if (this.head.back === this.head && this.head.value === value) {\\n this.head = null;\\n } else {\\n let temp = this.head;\\n\\n while (temp.value !== value) {\\n if (temp.forward.value <= temp.value) {\\n return false;\\n }\\n temp = temp.forward;\\n }\\n\\n temp.back.forward = temp.forward;\\n temp.forward.back = temp.back;\\n\\n if (temp === this.head) {\\n this.head = temp.forward;\\n }\\n\\n delete this.temp;\\n }\\n this.size--;\\n return true;\\n }\",\n \"pop() {\\n //delete the current top values within the stack\\n delete this.items[this.top];\\n //deduct 1 from the top to show the new top index\\n this.top = this.top -1;\\n }\",\n \"extract() {\\n\\t\\tif (this.isEmpty()) {\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\n\\t\\tif (this.size() === 1) {\\n\\t\\t\\treturn this.heap.shift();\\n\\t\\t}\\n\\t\\tconst removedValue = this.heap[0];\\n\\t\\tthis.heap[0] = this.heap.pop();\\n\\t\\tthis.siftDown(0);\\n\\t\\treturn removedValue;\\n\\t}\",\n \"function heapDeleteRoot()\\n{\\n\\tif (!this.isEmpty()) { \\n\\t\\t// save root key and item pair\\n\\t\\tvar root = [ this.h[1], this.h_item[1] ]; \\n }\\n\\telse { //if heap is empty\\n\\t\\treturn \\\"The heap is empty\\\";\\n\\t}\\n\\t// ... complete\\n\\tthis.h_item[1] = this.h_item[this.size];\\n\\n this.h[1] = this.h[this.size];\\n this.heapify(1);\\n\\t\\n //decrease the heap size by 1 since we delete from it\\n this.size = this.size-1;\\n\\n\\treturn root;\\n}\",\n \"remove(key) {\\n\\n // getIndexBelowMax(this.storage[key]);\\n }\",\n \"remove(value) {\\n if (this.head === null) return;\\n\\n if (this.head.data === value) this.removeFirst();\\n\\n let prev = this.head;\\n let cur = this.head;\\n while (cur !== null && cur.data !== value) {\\n prev = cur;\\n cur = cur.next;\\n }\\n if (cur !== null) prev.next = cur.next;\\n }\",\n \"function pqdownheap(tree, k) {\\n\\t\\tvar v = heap[k],\\n\\t\\t\\tj = k << 1; // left son of k\\n\\n\\t\\twhile (j <= heap_len) {\\n\\t\\t\\t// Set j to the smallest of the two sons:\\n\\t\\t\\tif (j < heap_len && SMALLER(tree, heap[j + 1], heap[j])) {\\n\\t\\t\\t\\tj++;\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Exit if v is smaller than both sons\\n\\t\\t\\tif (SMALLER(tree, v, heap[j])) {\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Exchange v with the smallest son\\n\\t\\t\\theap[k] = heap[j];\\n\\t\\t\\tk = j;\\n\\n\\t\\t\\t// And continue down the tree, setting j to the left son of k\\n\\t\\t\\tj <<= 1;\\n\\t\\t}\\n\\t\\theap[k] = v;\\n\\t}\",\n \"remove(value) {\\n let currentNode = this.head;\\n\\n if (currentNode !== null) {\\n if (currentNode.data == value) {\\n this.head = currentNode.next;\\n this.size--;\\n } else {\\n let previousNode;\\n\\n while (currentNode && currentNode.data !== value) {\\n previousNode = currentNode;\\n currentNode = currentNode.next;\\n }\\n\\n if (currentNode && previousNode) {\\n previousNode.next = currentNode.next;\\n this.size--;\\n } else {\\n return `Given ${value} value not found !!!`;\\n }\\n }\\n }\\n }\",\n \"delete(val) {\\n let ind = this.values.indexOf(val)\\n if(this.has(val)) {\\n this.values.splice(ind, 1);\\n }\\n }\",\n \"heapifyDown(){\\n let idx = 0,\\n element = this.values[idx],\\n swap,\\n leftChildIdx,\\n rightChildIdx,\\n leftChild,\\n rightChild;\\n while (true){\\n swap = null;\\n leftChildIdx = (2 * idx) + 1;\\n rightChildIdx = (2 * idx) + 2;\\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\\n swap = leftChildIdx\\n }\\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\\n swap = rightChildIdx;\\n }\\n if (swap === null) break;\\n this.values[idx] = this.values[swap];\\n this.values[swap] = element;\\n idx = swap; \\n } \\n }\",\n \"removekey(value) {\\n\\n this.root = this.remove(this.root, value)\\n\\n }\",\n \"remove() {\\n if (this.isEmpty()) throw new Error('Queue is empty!');\\n const value = this.first.value;\\n this.first = this.first.next;\\n this.size--;\\n return value;\\n }\",\n \"function pop(arr, value) {\\n var index = arr.indexOf(value);\\n if (index > -1) {\\n arr.splice(index, 1);\\n }\\n return arr;\\n}\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"removeValue(value) {\\n\\t\\tlet currentNode = this.head\\n\\t\\tlet index = 0\\n\\n\\t\\twhile (value != currentNode.value) {\\n\\t\\t\\tcurrentNode = currentNode.next\\n\\t\\t\\tindex++\\n\\t\\t}\\n\\t\\treturn this.remove(index)\\n\\t}\",\n \"removeNode() {\\n let root;\\n if (!this.data.length) {\\n return;\\n }\\n if (this.data.length === 1) {\\n root = this.data.pop();\\n } else {\\n root = this.data[0];\\n this.data[0] = this.data[this.data.length - 1];\\n this.data = this.data.slice(0, this.data.length - 1);\\n }\\n\\n this.usage.delete(root);\\n this.heapifyDown(0);\\n this.store.setItem(this.key + \\\"_searchData\\\", this.data);\\n this.store.setItem(this.key + \\\"_searchUsageMap\\\", this.usage);\\n return root;\\n }\",\n \"function remove(root, value) {\\n //Exits and link updating/traversal is similar to \\\"put\\\"\\n if (root == null) return null;\\n\\n if (value < root.value) root.left = remove(root.left, value);\\n else if (value > root.value) root.right = remove(root.right, value);\\n else {\\n\\n //Cases: 0, 1 or multiple children\\n //0: Drop parent link\\n //1: Linked list style, replace parent\\n //2: Find successor of t, delete minimum in t's right subtree, x in t's original spot\\n\\n if (root.right == null) return root.left;\\n if (root.left == null) return root.right;\\n var t = _.cloneDeep(root);\\n root = min(t.right);\\n root.right = deleteMin(t.right);\\n root.left = t.left;\\n }\\n root.size = size(root.left) + size(root.right) + 1;\\n return root;\\n}\",\n \"remove(value) {\\n this.root = this.removeVisitor(this.root, value)\\n }\",\n \"siftDown(index) {\\n\\t\\tlet element = index;\\n\\t\\tconst left = this.getLeftIndex(index);\\n\\t\\tconst right = this.getRightIndex(index);\\n\\t\\tconst size = this.size();\\n\\t\\tif (\\n\\t\\t\\tleft < size &&\\n\\t\\t\\tthis.compareFn(this.heap[element], this.heap[left]) ===\\n\\t\\t\\t\\tCompare.BIGGER_THAN\\n\\t\\t) {\\n\\t\\t\\telement = left;\\n\\t\\t}\\n\\t\\tif (\\n\\t\\t\\tright < size &&\\n\\t\\t\\tthis.compareFn(this.heap[element], this.heap[right]) ===\\n\\t\\t\\t\\tCompare.BIGGER_THAN\\n\\t\\t) {\\n\\t\\t\\telement = right;\\n\\t\\t}\\n\\t\\tif (index !== element) {\\n\\t\\t\\tswap(this.heap, index, element);\\n\\t\\t\\tthis.siftDown(element);\\n\\t\\t}\\n\\t}\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"remove(value) {\\n this.root = this.removeNode(thisroot, value);\\n }\",\n \"remove(value) {\\n let currentNode = this.head;\\n\\n while (currentNode.next.value !== value) {\\n currentNode = currentNode.next;\\n }\\n const removed = currentNode.next.value;\\n currentNode.next = currentNode.next.next;\\n return removed;\\n }\",\n \"pop(value){\\n if(!this.first) return null;\\n var removed;\\n if(this.length===1){\\n removed = this.first;\\n this.first= null;\\n this.last = null\\n }\\n else {\\n removed = this.first;\\n this.first= this.first.next;\\n \\n }\\n this.length--;\\n return removed;\\n\\n }\",\n \"pop(){\\n if (!this.head) {\\n return null;\\n }\\n var removed = this.head.value;\\n this.head = this.head.next;\\n this.length--;\\n return removed;\\n }\",\n \"modify(item, priority) {\\n let location = this.locations.get(this.hash(item));\\n\\n if (location === null || location === undefined)\\n throw Error(\\\"This object doesn't exist in the heap\\\");\\n\\n // remove and re-add\\n let heapItem = this.heap.splice(location, 1);\\n this.locations.delete(this.hash(heapItem));\\n\\n // modify\\n if (this.priorityName) {\\n heapItem = item;\\n heapItem[this.priorityName] = priority;\\n }\\n else\\n heapItem = priority;\\n\\n // add to beginning and sink\\n this.heap.unshift(item);\\n this.locations.set(this.hash(item), 0);\\n this.heapify(0);\\n }\",\n \"function minheap_extract(heap) {\\n swap(heap,0,heap.length - 1);\\n var to_pop = heap.pop();\\n var parent = 0;\\n var child = parent * 2 + 1;\\n while(child < heap.length){\\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\\n child = child + 1;\\n }\\n if(heap[child] < heap[parent]){\\n swap(heap,child,parent);\\n parent = child;\\n child = parent * 2 + 1; \\n }\\n else{\\n break;\\n }\\n }\\n return to_pop;\\n // STENCIL: implement your min binary heap extract operation\\n}\",\n \"remove(key) {\\r\\n const hash = this.calculateHash(key);\\r\\n if(this.values.hasOwnProperty(hash) && this.values[hash].hasOwnProperty(key)) {\\r\\n delete this.values[hash][key];\\r\\n this.numberOfValues--;\\r\\n }\\r\\n }\",\n \"remove(k) {\\n var index = getIndexBelowMaxForKey(k, this._limit);\\n var indexBucket = this._storage.get(index);\\n for (var i = 0; i < indexBucket.length; i ++) {\\n if (indexBucket[i][0] === k) {\\n return indexBucket.splice(i, 1);\\n }\\n }\\n }\",\n \"remove(val) {\\n let index = this.head;\\n\\n while (index != null) {\\n if (index.val == val) {\\n index.prev.next = index.next;\\n index.next.prev = index.prev;\\n this.size -= 1;\\n return this;\\n }\\n\\n index = index.next;\\n }\\n }\",\n \"insert(value) {\\n // Insert value to the end of array\\n // Perform siftUp to correct position of value in the heap tree\\n this.heap.push(value);\\n this.siftUp(this.heap.length - 1, this.heap);\\n }\",\n \"extractMin() {\\r\\n\\t\\tconst min = this.heap[0];\\r\\n\\t\\tthis.remove(min);\\r\\n\\t\\treturn min;\\r\\n\\t}\",\n \"dequeue() {\\n const [next] = this.values;\\n this.values[0] = this.values.pop();\\n let childLeft, childRight;\\n let curr = 0;\\n while (true) {\\n let childLeftIdx = 2 * curr + 1;\\n let childRightIdx = childLeft + 1;\\n let swap = null;\\n if (childLeftIdx < this.values.length) {\\n childLeft = this.values[childLeftIdx];\\n if (childLeft.priority > this.values[curr].priority) {\\n swap = childLeft;\\n }\\n\\n if (childRightIdx < this.values.length) {\\n childRight = this.values[childRight];\\n if (\\n (swap === null &&\\n childRight.priority < this.values[curr].priority) ||\\n (swap !== null && childRight < childLeft.priority)\\n ) {\\n swap = childRightIdx;\\n }\\n }\\n\\n if (swap === null) break;\\n const temp = this.values[curr];\\n this.values[curr] = this.values[swap];\\n this.values[swap] = temp;\\n curr = swap;\\n }\\n }\\n }\",\n \"function heap(a, lo, hi) {\\n\\t var n = hi - lo,\\n\\t i = (n >>> 1) + 1;\\n\\t while (--i > 0) sift(a, i, n, lo);\\n\\t return a;\\n\\t }\",\n \"function minheap_extract(heap) \\n{\\n var PrintE;\\n PrintE = heap[0];\\n heap[0] = heap[heap.length - 1];\\n\\n var a,large;\\n var temp = heap.pop();\\n for (a=0;a<heap.length;a=large)\\n {\\n if (2*a+2>heap.length)\\n {break;}\\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\\n {\\n if (heap[a]>heap[2*a+2])\\n {\\n temp = heap [a];\\n heap[a] = heap[2*a+2];\\n heap[2*a+2] = temp; \\n large = 2*a+2; \\n }\\n else\\n {break;}\\n }\\n else\\n {\\n if (heap[a]>heap[2*a+1])\\n {\\n temp = heap [2*a+1];\\n heap[2*a+1] = heap[a];\\n heap[a] = temp; \\n large = 2*a+1;\\n }\\n else\\n {break;}\\n }\\n }\\n return PrintE;\\n}\",\n \"Dequeue() {\\r\\n if (this.heap.length == 0) return;\\r\\n const highestPriority = this.heap[0];\\r\\n const leastPriority = this.heap[this.heap.length - 1];\\r\\n //swap first and last priority\\r\\n this.heap[this.heap.length - 1] = highestPriority;\\r\\n this.heap[0] = leastPriority;\\r\\n this.heap.pop();\\r\\n let nodeIndex = 0; //sink down\\r\\n while (true) {\\r\\n const left = this.heap[2 * nodeIndex + 1];\\r\\n const right = this.heap[2 * nodeIndex + 2];\\r\\n const leastElement = this.heap[nodeIndex];\\r\\n if (\\r\\n right &&\\r\\n right.priority < left.priority &&\\r\\n right.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 2] = leastElement;\\r\\n this.heap[nodeIndex] = right;\\r\\n nodeIndex = 2 * nodeIndex + 2;\\r\\n } else if (\\r\\n left &&\\r\\n left.priority < right.priority &&\\r\\n left.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 1] = leastElement;\\r\\n this.heap[nodeIndex] = left;\\r\\n nodeIndex = 2 * nodeIndex + 1;\\r\\n } else {\\r\\n break;\\r\\n }\\r\\n }\\r\\n\\r\\n return highestPriority;\\r\\n }\",\n \"remove(tree){\\n let replaceWith;\\n if(this.left && this.right){\\n const next = this.right.getLeftmostChild();\\n this.low = next.low;\\n this.high = next.high;\\n this.intervals = next.intervals;\\n this.removeUpdateLimits();\\n next.handleRemoval(tree); \\n }else{\\n this.handleRemoval(tree);\\n }\\n }\",\n \"pop(val) {\\n const lastValIndex = this._length - 1;\\n if (lastValIndex >= 0) {\\n const lastVal = this._storage[lastValIndex];\\n delete this._storage[lastValIndex];\\n this._length--;\\n return lastVal;\\n }\\n return false;\\n }\",\n \"function heap(a, lo, hi) {\\n var n = hi - lo,\\n i = (n >>> 1) + 1;\\n while (--i > 0) sift(a, i, n, lo);\\n return a;\\n }\",\n \"remove(value) {\\n if (this.size == 0) throw new Error('Linked list is empty');\\n if (this.front.value == value) {\\n this.front = this.front.next;\\n if (this.size == 1) {\\n this.back = this.front;\\n }\\n this.size--;\\n return value;\\n }\\n let curr = this.front;\\n while (curr.next) {\\n if (curr.next.value == value) {\\n curr.next = curr.next.next;\\n if (this.back.value == value) {\\n this.back = curr;\\n }\\n this.size--;\\n return value;\\n } else {\\n curr = curr.next; \\n }\\n }\\n return null; \\n }\",\n \"static removeValue(array, value) {\\n for (var tI = array.length - 1; tI >= 0; tI--) {\\n if (array[tI] === value) {\\n array.splice(tI, 1);\\n return tI;\\n }\\n }\\n }\",\n \"function heapDown(i) {\\n\\t var w = heapWeight(i)\\n\\t while(true) {\\n\\t var tw = w\\n\\t var left = 2*i + 1\\n\\t var right = 2*(i + 1)\\n\\t var next = i\\n\\t if(left < heapCount) {\\n\\t var lw = heapWeight(left)\\n\\t if(lw < tw) {\\n\\t next = left\\n\\t tw = lw\\n\\t }\\n\\t }\\n\\t if(right < heapCount) {\\n\\t var rw = heapWeight(right)\\n\\t if(rw < tw) {\\n\\t next = right\\n\\t }\\n\\t }\\n\\t if(next === i) {\\n\\t return i\\n\\t }\\n\\t heapSwap(i, next)\\n\\t i = next \\n\\t }\\n\\t }\",\n \"function heapDown(i) {\\n\\t var w = heapWeight(i)\\n\\t while(true) {\\n\\t var tw = w\\n\\t var left = 2*i + 1\\n\\t var right = 2*(i + 1)\\n\\t var next = i\\n\\t if(left < heapCount) {\\n\\t var lw = heapWeight(left)\\n\\t if(lw < tw) {\\n\\t next = left\\n\\t tw = lw\\n\\t }\\n\\t }\\n\\t if(right < heapCount) {\\n\\t var rw = heapWeight(right)\\n\\t if(rw < tw) {\\n\\t next = right\\n\\t }\\n\\t }\\n\\t if(next === i) {\\n\\t return i\\n\\t }\\n\\t heapSwap(i, next)\\n\\t i = next \\n\\t }\\n\\t }\",\n \"removeByValue(value) {\\n return this.delete(this.getIndexOf(value));\\n }\",\n \"function pqdownheap(s, tree, k) // deflate_state *s;\\n // ct_data *tree; /* the tree to restore */\\n // int k; /* node to move down */\\n {\\n var v = s.heap[k];\\n var j = k << 1;\\n /* left son of k */\\n\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n\\n\\n if (smaller(tree, v, s.heap[j], s.depth)) {\\n break;\\n }\\n /* Exchange v with the smallest son */\\n\\n\\n s.heap[k] = s.heap[j];\\n k = j;\\n /* And continue down the tree, setting j to the left son of k */\\n\\n j <<= 1;\\n }\\n\\n s.heap[k] = v;\\n }\",\n \"function pqdownheap(s, tree, k) // deflate_state *s;\\n // ct_data *tree; /* the tree to restore */\\n // int k; /* node to move down */\\n {\\n var v = s.heap[k];\\n var j = k << 1;\\n /* left son of k */\\n\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n\\n\\n if (smaller(tree, v, s.heap[j], s.depth)) {\\n break;\\n }\\n /* Exchange v with the smallest son */\\n\\n\\n s.heap[k] = s.heap[j];\\n k = j;\\n /* And continue down the tree, setting j to the left son of k */\\n\\n j <<= 1;\\n }\\n\\n s.heap[k] = v;\\n }\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"Remove(int, int) {\\n\\n }\",\n \"swim(k) {\\n while (k > 1 && this.heap[Math.floor(k/2)].priority > this.heap[k].priority) {\\n /*\\n * While not at root node, swap k (parent) with k/2 (child) if\\n * parent > child. Continue swimming upwards until the invariant holds.\\n */\\n [this.heap[k], this.heap[Math.floor(k/2)]]\\n = [this.heap[Math.floor(k/2)], this.heap[k]];\\n k = Math.floor(k / 2);\\n }\\n }\",\n \"remove(index_num){\\n if(index_num<0 || index_num>=this.length) return undefined;\\n if(index_num===0) return this.shift();\\n if(index_num===this.length-1) return this.pop();\\n\\n let before_position = this.get(index_num-1); // 1. we neet to find item at the position one before!!\\n let removed = before_position.next;\\n before_position.next = removed.next;\\n this.length -=1;\\n console.log(\\\"REMOVE - true\\\");\\n return removed;\\n }\",\n \"remove(val) {\\n\\n }\",\n \"remove(index) {\\n // accept an index.\\n // check if the index is less than zero greate than the length and return undefined. \\n if(index < 0 || index > this.length) { \\n return undefined;\\n }\\n // if this index is the same as the length - -1 pop\\n if(index === this.length - 1 ) { \\n return this.pop();\\n }\\n // if the index is 0 shift. \\n if(index === 0) {\\n return this.shift();\\n }\\n // get the node before the target index. \\n let beforeTargetNode = this.get(index - 1);\\n // set the nedxt prop to the beforeNode to the next of the removednNode. \\n let targetNode = this.get(index);\\n beforeTargetNode.next = targetNode.next;\\n // Decrement the length\\n this.length--;\\n // return the value of the removedNode\\n return targetNode;\\n }\",\n \"remove(key) {\\n let hash = this.hash(key);\\n let slot = this.internalArray[hash];\\n\\n while (slot && slot.key !== key) {\\n slot = this.internalArray[++hash % this.INTERNAL_ARRAY_SIZE];\\n }\\n\\n if (slot) {\\n const temp = slot.value;\\n this.internalArray[hash % this.INTERNAL_ARRAY_SIZE] = null;\\n this.counter--;\\n this.reHash();\\n return temp;\\n } else {\\n return undefined;\\n }\\n }\",\n \"function heapDown(i) {\\n var w = heapWeight(i)\\n while(true) {\\n var tw = w\\n var left = 2*i + 1\\n var right = 2*(i + 1)\\n var next = i\\n if(left < heapCount) {\\n var lw = heapWeight(left)\\n if(lw < tw) {\\n next = left\\n tw = lw\\n }\\n }\\n if(right < heapCount) {\\n var rw = heapWeight(right)\\n if(rw < tw) {\\n next = right\\n }\\n }\\n if(next === i) {\\n return i\\n }\\n heapSwap(i, next)\\n i = next \\n }\\n }\",\n \"extractMax() {\\r\\n\\t\\tconst max = this.heap[0];\\r\\n\\t\\tthis.remove(max);\\r\\n\\t\\treturn max;\\r\\n\\t}\",\n \"pop() {\\n if (!this.first)\\n return null;\\n const nodeToRemove = this.first;\\n this.first = this.first.next;\\n this.size--;\\n return nodeToRemove.value;\\n }\",\n \"function pqdownheap(s, tree, k) // deflate_state *s;\\n// ct_data *tree; /* the tree to restore */\\n// int k; /* node to move down */\\n{\\n var v = s.heap[k];\\n var j = k << 1;\\n /* left son of k */\\n\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n\\n\\n if (smaller(tree, v, s.heap[j], s.depth)) {\\n break;\\n }\\n /* Exchange v with the smallest son */\\n\\n\\n s.heap[k] = s.heap[j];\\n k = j;\\n /* And continue down the tree, setting j to the left son of k */\\n\\n j <<= 1;\\n }\\n\\n s.heap[k] = v;\\n}\",\n \"delete(i) {\\n\\t\\tea && assert(i > 0);\\n\\t\\tif (!this.contains(i)) return;\\n\\t\\tlet j = this.itemAt(this.#m--);\\n\\t\\tif (i != j) {\\n\\t\\t\\tif (this.#key[j] <= this.#key[i])\\n\\t\\t\\t\\tthis.siftup(j, this.#pos[i]);\\n\\t\\t\\telse\\n\\t\\t\\t\\tthis.siftdown(j, this.#pos[i]);\\n\\t\\t}\\n\\t\\tthis.#pos[i] = 0;\\n\\t}\",\n \"remove() {\\n if (!this.value) {\\n this.value = this.min || 0;\\n }\\n const step = this.ctrl_key ? 100 : this.shift_key ? 10 : this.step || 1;\\n this.value -= step;\\n if (this.value < this.min) {\\n this.value = this.min || 0;\\n }\\n this.setValue(this.value);\\n }\",\n \"remove(index) {\\n //if index > length or smaller then zero then return false\\n if (index >= this.length || index < 0) {\\n return undefined;\\n }\\n //if index is equal to 0 then add a new element in front {use unshifting method}\\n if (index === 0) {\\n return this.shifting();\\n\\n } else\\n //if index is equal to length then add a new element in last {use push method }\\n if (this.length === index - 1) {\\n return this.pop();\\n\\n }\\n //store the index-1 node as pervious and index-node[to be removed node] as a deletenode\\n let previousnode = this.get(index - 1);\\n let deletenode = previousnode.next;\\n //point the previous node ------> deletenodes.next \\n /* [ 12 ----> 34 -----> 45] set the pointer of 12 ---> to point the 45 // instead of 34 \\n [ 12 -----> 45] \\n */\\n previousnode.next = deletenode.next;\\n //decreament the list return the value\\n this.length--;\\n return deletenode.val;\\n\\n }\",\n \"remove() {\\n\\t\\tif(!this.head) return null;\\n\\t\\tlet currentNode = this.head;\\n\\t\\tlet data= this.head.value;\\n\\t\\tlet holdingPointer;\\n\\t\\tif (!this.head.next){\\n\\t\\t\\tthis.head = null;\\n\\t\\t\\tthis.length--;\\n\\t\\t\\treturn data;\\n\\t\\t}\\n\\t\\tif (currentNode){\\n\\t\\t\\twhile(currentNode.next){\\n\\t\\t\\t\\tholdingPointer = currentNode;\\n\\t\\t\\t\\tcurrentNode = currentNode.next;\\n\\t\\t\\t}\\n\\t\\t\\tdata = currentNode.value\\n\\t\\t\\tholdingPointer.next = null;\\n\\t\\t}\\n\\t\\tthis.length--;\\n\\t\\treturn data;\\n\\t}\",\n \"heapUp(index) {\\n if (index <= 0) return;\\n \\n const parentIndex = this.parentIndex(index);\\n if (this.store[index].key < this.store[parentIndex].key) {\\n this.swap(index, parentIndex);\\n this.heapUp(parentIndex);\\n }\\n }\",\n \"removeNodesWithValue(value) {\\n if(!this.head || value === undefined) return\\n\\n let curr = this.head, next\\n while(curr) {\\n next = curr.next\\n if(curr.value === value) {\\n this.remove(curr)\\n }\\n curr = next\\n }\\n }\",\n \"dequeue() {\\n if (this.count === 0) {\\n return 0;\\n }\\n var firstIdx = Object.keys(this.storage)[0];\\n var itemToRemove = this.storage[firstIdx];\\n delete this.storage[firstIdx];\\n this.count -= 1;\\n return itemToRemove;\\n }\",\n \"remove(key) {\\n const index = getIndexBelowMax(key.toString(), this.limit);\\n const bucket = this.storage.get(index);\\n if (Array.isArray(bucket)) {\\n for (let i = 0; i < bucket.length; i++) {\\n const objKey = bucket[i][0];\\n if (objKey === key) {\\n bucket.splice(i, 1);\\n }\\n }\\n }\\n }\",\n \"function pqdownheap(s, tree, k)\\n// deflate_state *s;\\n// ct_data *tree; /* the tree to restore */\\n// int k; /* node to move down */\\n {\\n var v = s.heap[k];\\n var j = k << 1; /* left son of k */\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len &&\\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\\n\\n /* Exchange v with the smallest son */\\n s.heap[k] = s.heap[j];\\n k = j;\\n\\n /* And continue down the tree, setting j to the left son of k */\\n j <<= 1;\\n }\\n s.heap[k] = v;\\n }\",\n \"siftUp(currentIdx, heap) {\\n // Get parentNode index of node at currentIdx\\n let parentIdx = Math.floor((currentIdx - 1) / 2);\\n\\n // While not at root index\\n // Compare value at parentIdx and currentIdx\\n // If currentNode < parentNode\\n // Peform swap\\n // re-calculate currentIdx and parentIdx \\n while (currentIdx > 0 && heap[currentIdx] < heap[parentIdx]) {\\n this.swap(currentIdx, parentIdx, heap);\\n currentIdx = parentIdx;\\n parentIdx = Math.floor((currentIdx - 1) / 2);\\n }\\n }\",\n \"function removeAt(arr, value) {\\n return arr[value]\\n}\",\n \"remove (index) {\\n if (index < 0 || index > this.length) {\\n return undefined\\n } \\n if (index === this.length - 1) {\\n return this.pop()\\n }\\n if (index === 0) {\\n return this.shift()\\n }\\n\\n let preceedingNode = this.get(index-1);\\n let nodeToRemove = preceedingNode.next; \\n let suceedingNode = nodeToRemove.next; \\n\\n preceedingNode.next = suceedingNode; \\n\\n this.length --; \\n return nodeToRemove; \\n }\",\n \"remove(index) {\\n if (index < 0 || index >= this.length) {\\n return undefined;\\n }\\n if (index === this.length - 1) {\\n return this.pop();\\n } else if (index === 0) {\\n return this.shift();\\n }\\n\\n let temp = this.get(index - 1);\\n let value = temp.next.val;\\n temp.next = temp.next.next;\\n this.length--;\\n return value;\\n }\",\n \"function pqdownheap(s, tree, k)\\n // deflate_state *s;\\n // ct_data *tree; /* the tree to restore */\\n // int k; /* node to move down */\\n {\\n var v = s.heap[k];\\n var j = k << 1; /* left son of k */\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len &&\\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\\n \\n /* Exchange v with the smallest son */\\n s.heap[k] = s.heap[j];\\n k = j;\\n \\n /* And continue down the tree, setting j to the left son of k */\\n j <<= 1;\\n }\\n s.heap[k] = v;\\n }\",\n \"dequeue() {\\n if (this.tail > this.head) {\\n const value = this.storage[this.head];\\n delete this.storage[this.head];\\n this.head++;\\n return value;\\n } else {\\n return null;\\n }\\n }\",\n \"remove(value) {\\n let currentNode = this.head;\\n if (this.head.value === value) {\\n const temp = this.head.value;\\n this.head = this.head.next;\\n return temp;\\n }\\n\\n while (currentNode.next.value !== value) {\\n currentNode = currentNode.next;\\n }\\n currentNode.next = currentNode.next.next;\\n return this;\\n }\",\n \"function pqdownheap(s, tree, k)\\n// deflate_state *s;\\n// ct_data *tree; /* the tree to restore */\\n// int k; /* node to move down */\\n{\\n var v = s.heap[k];\\n var j = k << 1; /* left son of k */\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len && smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n if (smaller(tree, v, s.heap[j], s.depth)) {\\n break;\\n }\\n\\n /* Exchange v with the smallest son */\\n s.heap[k] = s.heap[j];\\n k = j;\\n\\n /* And continue down the tree, setting j to the left son of k */\\n j <<= 1;\\n }\\n s.heap[k] = v;\\n}\",\n \"function pqdownheap(s, tree, k)\\n// deflate_state *s;\\n// ct_data *tree; /* the tree to restore */\\n// int k; /* node to move down */\\n{\\n var v = s.heap[k];\\n var j = k << 1; /* left son of k */\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len &&\\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\\n\\n /* Exchange v with the smallest son */\\n s.heap[k] = s.heap[j];\\n k = j;\\n\\n /* And continue down the tree, setting j to the left son of k */\\n j <<= 1;\\n }\\n s.heap[k] = v;\\n}\",\n \"function pqdownheap(s, tree, k)\\n// deflate_state *s;\\n// ct_data *tree; /* the tree to restore */\\n// int k; /* node to move down */\\n{\\n var v = s.heap[k];\\n var j = k << 1; /* left son of k */\\n while (j <= s.heap_len) {\\n /* Set j to the smallest of the two sons: */\\n if (j < s.heap_len &&\\n smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\\n j++;\\n }\\n /* Exit if v is smaller than both sons */\\n if (smaller(tree, v, s.heap[j], s.depth)) { break; }\\n\\n /* Exchange v with the smallest son */\\n s.heap[k] = s.heap[j];\\n k = j;\\n\\n /* And continue down the tree, setting j to the left son of k */\\n j <<= 1;\\n }\\n s.heap[k] = v;\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.80592644","0.77889985","0.75571394","0.75185335","0.748075","0.7324977","0.7206284","0.7075653","0.7057192","0.7057192","0.6849966","0.67913896","0.66329116","0.65866756","0.6565453","0.64938587","0.64443773","0.6443872","0.6382864","0.6373806","0.6357709","0.6350169","0.6332954","0.6317014","0.62710875","0.62187046","0.6216089","0.6203261","0.6201298","0.61842114","0.61689556","0.61539835","0.61407435","0.6133388","0.6132453","0.6129202","0.6108502","0.6099573","0.60843486","0.60737276","0.60718113","0.60718113","0.60718113","0.60718113","0.60718113","0.60666966","0.60665596","0.6058164","0.6049195","0.60429686","0.60404","0.6023055","0.60160947","0.6009156","0.6007376","0.6004896","0.5996282","0.5996102","0.59758496","0.5973461","0.59704137","0.59700686","0.5965413","0.59643286","0.5958306","0.5946714","0.5946714","0.59446526","0.5936152","0.5929253","0.59167844","0.59134245","0.5908944","0.59053135","0.5899812","0.5892232","0.5884444","0.58840156","0.58808446","0.5876673","0.58673143","0.586059","0.586007","0.5859727","0.5854545","0.5854215","0.58511186","0.5847839","0.5843176","0.58408517","0.5836378","0.5836216","0.58347714","0.58316725","0.5830266","0.5823108","0.58197206","0.5816738","0.5810445","0.5810445"],"string":"[\n \"0.80592644\",\n \"0.77889985\",\n \"0.75571394\",\n \"0.75185335\",\n \"0.748075\",\n \"0.7324977\",\n \"0.7206284\",\n \"0.7075653\",\n \"0.7057192\",\n \"0.7057192\",\n \"0.6849966\",\n \"0.67913896\",\n \"0.66329116\",\n \"0.65866756\",\n \"0.6565453\",\n \"0.64938587\",\n \"0.64443773\",\n \"0.6443872\",\n \"0.6382864\",\n \"0.6373806\",\n \"0.6357709\",\n \"0.6350169\",\n \"0.6332954\",\n \"0.6317014\",\n \"0.62710875\",\n \"0.62187046\",\n \"0.6216089\",\n \"0.6203261\",\n \"0.6201298\",\n \"0.61842114\",\n \"0.61689556\",\n \"0.61539835\",\n \"0.61407435\",\n \"0.6133388\",\n \"0.6132453\",\n \"0.6129202\",\n \"0.6108502\",\n \"0.6099573\",\n \"0.60843486\",\n \"0.60737276\",\n \"0.60718113\",\n \"0.60718113\",\n \"0.60718113\",\n \"0.60718113\",\n \"0.60718113\",\n \"0.60666966\",\n \"0.60665596\",\n \"0.6058164\",\n \"0.6049195\",\n \"0.60429686\",\n \"0.60404\",\n \"0.6023055\",\n \"0.60160947\",\n \"0.6009156\",\n \"0.6007376\",\n \"0.6004896\",\n \"0.5996282\",\n \"0.5996102\",\n \"0.59758496\",\n \"0.5973461\",\n \"0.59704137\",\n \"0.59700686\",\n \"0.5965413\",\n \"0.59643286\",\n \"0.5958306\",\n \"0.5946714\",\n \"0.5946714\",\n \"0.59446526\",\n \"0.5936152\",\n \"0.5929253\",\n \"0.59167844\",\n \"0.59134245\",\n \"0.5908944\",\n \"0.59053135\",\n \"0.5899812\",\n \"0.5892232\",\n \"0.5884444\",\n \"0.58840156\",\n \"0.58808446\",\n \"0.5876673\",\n \"0.58673143\",\n \"0.586059\",\n \"0.586007\",\n \"0.5859727\",\n \"0.5854545\",\n \"0.5854215\",\n \"0.58511186\",\n \"0.5847839\",\n \"0.5843176\",\n \"0.58408517\",\n \"0.5836378\",\n \"0.5836216\",\n \"0.58347714\",\n \"0.58316725\",\n \"0.5830266\",\n \"0.5823108\",\n \"0.58197206\",\n \"0.5816738\",\n \"0.5810445\",\n \"0.5810445\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.771712"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":181,"cells":{"query":{"kind":"string","value":"returns the max value from the heap"},"document":{"kind":"string","value":"findMin() {\r\n\t\treturn this.heap[0];\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["findMax() {\r\n\t\treturn this.heap[0];\r\n\t}","extractMax() {\n\t\tconst max = this.heap[0];\n\t\tconst tmp = this.heap.pop();\n\t\tif (!this.empty()) {\n\t\t\tthis.heap[0] = tmp;\n\t\t\tthis.sinkDown(0);\n\t\t}\n\t\treturn max;\n\t}","extractMax() {\r\n\t\tconst max = this.heap[0];\r\n\t\tthis.remove(max);\r\n\t\treturn max;\r\n\t}","function maxHeap(val, parentVal) {\n return val > parentVal;\n}","deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.length === 2) return this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\n\n let max = this.array[1];\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// save reference to root value (max)\n\n this.array[1] = this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t // remove last val in array (farthest right node in tree), and update root value with it\n\n this.siftDown(1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\n\n return max;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// return max value\n }","maxValue() {\n let currNode = this.top;\n let maxValue = this.top.value;\n \n while (currNode.next) {\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\n currNode = currNode.next;\n }\n \n return maxValue;\n }","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","function maxHeapify(arr){\n\n}","extractMax() {\n const max = this.values[0];\n const end = this.values.pop();\n this.values[0] = end;\n this.sinkDown();\n return max;\n }","function max() {\n // set node to the root value\n var node = this.root;\n // loop until there is no more values to the right\n while( node.right != null ) {\n node = node.right; // move to the right value\n } // end while\n return node.data;\n} // end max","extractMax() {\n // swap the first value in the values property with the last value\n // pop from the values property, so you can return the value at the end.\n // 'sink down' to the correct spot\n const max = this.values[0];\n const end = this.values.pop();\n if (this.values.length > 0) {\n this.values[0] = end;\n // move it to the correct position\n this.bubbleDown();\n }\n return max;\n }","extractMax() {\n if (this.values.length===1) {\n return this.values.pop()\n }\n let max = this.values[0]\n let tail = this.values.pop()\n this.values[0] = tail\n let index = 0\n let element = this.values[index]\n // repeat until neither child is greater than the element\n while(true) {\n let swapped = null\n let leftIndex = 2 * index + 1\n let rightIndex = 2 * index + 2\n if (leftIndex < this.values.length) {\n if(this.values[leftIndex] > element) {\n swapped = leftIndex\n }\n }\n if (rightIndex < this.values.length) {\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\n swapped = rightIndex\n }\n }\n if (swapped===null) break\n this.values[index] = this.values[swapped]\n this.values[swapped] = element\n index = swapped\n }\n return max\n }","function MaxHeap(array){\r\n Heap.call(this, array);\r\n \r\n // Build-max-heap method: produces a max-heap from an unordered input array\r\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\r\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\r\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\r\n this.floatDownElementOfIndex(i)\r\n }\r\n}","maxHeap(index) {\n var left = this.left(index);\n var right = this.right(index);\n var largest = index;\n if (left < this.heapSize && this.array[left] > this.array[index]) {\n largest = left;\n }\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\n largest = right;\n }\n if (largest != index) {\n this.swap(this.array, index, largest);\n this.maxHeap(largest);\n }\n }","max() {\n let currentNode = this.root;\n // continue traversing right until no more children\n while(currentNode.right) {\n currentNode = currentNode.right;\n }\n return currentNode.value;\n }","function BSTMax(){\n var walker = this.root;\n while (walker.right != null){\n walker = walker.right;\n }\n return walker.val;\n }","extractMax() {\n let values = this.values;\n if (values.length === 0) return;\n let max = values[0];\n // For time complexity reasons, I swap first then remove the old root node\n values[0] = values[values.length - 1];\n values.pop();\n console.log(values);\n // instatiate child nodes\n let child1, child2, indexToSwap;\n let currentIndex = 0;\n while (true) {\n child1 = currentIndex * 2 + 1;\n child2 = currentIndex * 2 + 2;\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\n break;\n }\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\n if (!values[indexToSwap]) break;\n let oldNode = values[currentIndex];\n values[currentIndex] = values[indexToSwap];\n values[indexToSwap] = oldNode;\n currentIndex = indexToSwap;\n }\n this.values = values;\n return max;\n }","extractMax(){\n const max = this.values.shift();\n let current = this.values.pop();\n if(this.values.length > 0){\n this.values.unshift(current);\n this.sinkDown();\n }\n return max;\n }","findMaxValue() {\n\n let current = this.root;\n\n const findMax = (node) => {\n if (node === null) {\n return;\n }\n\n let actualMax = node.value;\n let leftSideMax = findMax(node.left);\n let rightSideMax = findMax(node.right);\n\n if (leftSideMax > actualMax) {\n actualMax = leftSideMax;\n }\n\n if (rightSideMax > actualMax) {\n actualMax = rightSideMax;\n }\n\n return actualMax;\n };\n\n return findMax(current);\n }","extractMax() {\n const max = this.values[0]\n const end = this.values.pop()\n\n if (this.values.length > 0) {\n this.values[0] = end\n this._sinkDown()\n }\n\n return max\n }","max() {\n let currentNode = this.root;\n // Case for no root\n if(!currentNode) {\n throw new Error('This tree does not yet contain any values');\n return;\n }\n while(currentNode.right) {\n currentNode = currentNode.right;\n }\n return currentNode.value;\n }","max() {\r\n return this.maxHelper(this.root);\r\n }","removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","function findMax(stack) {\n var maxSize = 0;\n var max = null;\n for (var i = 0; i < stack.length; i++) {\n var peasant = stack[i];\n if (peasant.size > maxSize) {\n maxSize = peasant.size;\n max = peasant;\n }\n }\n\n return max;\n}","getMax() {\n let values = [];\n let current = this.head;\n\n // collect all values in the list\n while (current) {\n values.push(current.value);\n\n current = current.next;\n }\n\n return values.length === 0 ? null : Math.max(...values);\n }","maximum() {\n if (this.isEmpty()) {\n return null;\n }\n\n return this.doMaximum(this.root).key;\n }","max(){\r\n if(this.isEmpty()){\r\n console.log(\"Tree is empty!\");\r\n return null;\r\n }\r\n let runner = this.root;\r\n while(runner.right != null){\r\n runner = runner.right;\r\n }\r\n return runner.value;\r\n }","extractMax(){\r\n if(this.values.length === 1) return this.values.pop();\r\n const oldRoot = this.values[0];\r\n this.values[0] = this.values[this.values.length-1];\r\n this.values.pop();\r\n let idx = 0;\r\n let child1 = (2*idx) + 1;\r\n let child2 = (2*idx) + 2;\r\n\r\n while(this.values[idx] < this.values[child1] || \r\n this.values[idx] < this.values[child2]){\r\n child1 = (2*idx) + 1;\r\n child2 = (2*idx) + 2;\r\n if(this.values[child1] >= this.values[child2]){\r\n let temp = this.values[child1];\r\n this.values[child1] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child1;\r\n } else {\r\n let temp = this.values[child2];\r\n this.values[child2] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child2;\r\n }\r\n }\r\n return oldRoot;\r\n }","get maximumValue() {\r\n return this.i.bk;\r\n }","function MaxPriorityQueue(array){\r\n MaxHeap.call(this, array)\r\n}","function max(arr){\n return sortNumbers(arr)[arr.length - 1];\n }","findMaxNode() {\n if (this.head == null && this.tail == null) {\n return undefined;\n }\n\n var runner = this.head\n var temp = runner\n while (runner != null) {\n if ( temp.value < runner.value ){\n temp = runner\n }\n runner = runner.next;\n \n }\n return temp;\n }","maximum() {\n // Write your code here\n\tvar max = this.arr[0];\n\tfor(var i=0;i<this.arr.length;i++){\n\t\tif(max>this.arr[i]){\n\t\t max = max;\n\t\t}else{\n\t\t\tmax = this.arr[i];\n\t\t}\n\t}\n\treturn max;\n }","get maximumValue() {\n return this.i.bk;\n }","function maxValue (arr) {\r\n// liefert die indexnummer des elmentes im array 'arr' mit dem groessten wert\r\n var maxV;\r\n if (arr.length > 0) { // wenn das array ueberhaupt elemente enthaelt\r\n maxV = 0;\r\n for (i = 1; i < arr.length; i++) {\r\n if (arr[i]>arr[maxV]) { maxV = i; }\r\n }\r\n } else {\r\n maxV = null\r\n }\r\n return maxV; \r\n}","function buildMaxHeap() {\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\n maxHeapify(i, array.length);\n }\n}","findMax() {\n let current = this.root;\n // Loop until the rightmost node (no right subtree).\n while (current.right !== null) {\n current = current.right;\n }\n return current.data;\n }","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","function largest(){\r\n // parse arguments into an array\r\n var args = [].slice.call(arguments);\r\n var maxNum = 0;\r\n\r\n // .. do something with each element of args\r\n args.forEach(function(value,idx,list) {\r\n if (value > maxNum) {\r\n maxNum = value;\r\n }\r\n });\r\n\r\n return maxNum;\r\n\r\n}","function findMax(array){\n if(array.length === 1) {\n return array[0];\n }\n var lastValue = array.pop();\n var currentMax = findMax(array);\n if(currentMax < lastValue){\n return lastValue;\n } else {\n return currentMax;\n }\n // if(findMax(array) < lastValue){\n // return lastValue;\n // } else {\n // return findMax(array);\n // }\n}","function largest(array){\r\n\treturn Math.max.apply(Math,array);\r\n}","static maxHeapify(a, i) {\n let left = Heap.left(i);\n let right = Heap.right(i);\n\n // Find largest node between current, left and right\n let largest;\n if (left < a.heap_size && a[left] > a[i])\n largest = left;\n else\n largest = i;\n\n if (right < a.heap_size && a[right] > a[largest])\n largest = right;\n\n // Move current element to 'largest' position, and\n // continue until the element is positioned correctly\n if (largest != i) {\n let temp = a[i];\n a[i] = a[largest];\n a[largest] = temp;\n\n Heap.maxHeapify(a, largest);\n }\n }","findMaximumValue(root = this.root) {\n // what does it mean to find the max?\n // traverse, and check against \"last max\"\n\n // base case: root is null\n if (!root) return;\n\n // base case: root has no children\n let rootMax = root.val;\n let leftMax, rightMax;\n\n if (root.left) leftMax = this.findMaximumValue(root.left);\n\n if (root.right) rightMax = this.findMaximumValue(root.right);\n\n // rootMax, leftMax and rightMax\n // compare them all and just return the\n // \"true max\"\n let max = rootMax;\n\n if (leftMax > max) max = leftMax;\n if (rightMax > max) max = rightMax;\n\n return max;\n }","get max() { return this._max; }","get max() { return this._max; }","get max() { return this._max; }","get max() { return this._max; }","get max() { return this._max; }","get max() { return this._max; }","function secondLargestElement(tree) {\n var current = tree;\n var previous = tree.value;\n\n while (current) {\n if (current.left && !current.right) {\n previous = Math.max(current.value, previous);\n current = current.left;\n } else if (current.right) {\n previous = Math.max(current.value, previous);\n current = current.right;\n } else if (!current.right && !current.left) {\n return Math.min(previous, current.value);\n }\n\n }\n}","function getHighest($array){\n var biggest = Math.max.apply( null, $array );\n return biggest;\n}","get max() {\n\t\treturn this.__max;\n\t}","function max(data) {\n var n = data[0];\n\n for (var i = 1; i < data.length; i++) {\n n = data[i] > n ? data[i] : n;\n }\n\n return n;\n}","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}","function maxHeapify(arr, length, parent) {\n var largest = parent;\n var leftChild = 2 * parent + 1;\n var rightChild = 2 * parent + 2;\n\n if (leftChild < length && arr[leftChild] > arr[largest]) {\n largest = leftChild;\n }\n\n if (rightChild < length && arr[rightChild] > arr[largest]) {\n largest = rightChild;\n }\n\n if (largest != parent) {\n var temp = arr[largest];\n arr[largest] = arr[parent];\n arr[parent] = temp;\n\n maxHeapify(arr, length, largest);\n }\n}","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","function MAX(state) {\n var stack = state.stack;\n var e2 = stack.pop();\n var e1 = stack.pop();\n\n if (exports.DEBUG) {\n console.log(state.step, 'MAX[]', e2, e1);\n }\n\n stack.push(Math.max(e1, e2));\n }","getMax() {\n return this.storage[0];\n }","getMax() {\n return this.storage[0];\n }","function HighestNmb(arr) {\n return Math.max.apply(null, arr);\n}","function max(arr){\n\tvar max = arr[0];\n\tfor (var i =0 ; i < arr.length-1 ; i++){\n\t\tif (maxNum < arr[i]){\n\t\t\treturn arr[i];\n\t\t}\n\t}\n\treturn maxNum;\n}","max() {}","function max(x,y){\nif (x>y){\n\treturn x\n}else{\n\treturn y\n}}","function MAX(state) {\n const stack = state.stack;\n const e2 = stack.pop();\n const e1 = stack.pop();\n\n if (exports.DEBUG) console.log(state.step, 'MAX[]', e2, e1);\n\n stack.push(Math.max(e1, e2));\n}","function max(array) {\n\tvar currentmax = array[0];\n\tarray.forEach(function(element) {\n\t\tif(element > currentmax) {\n\t\t\tcurrentmax = element;\n\t\t}\n\t});\n\treturn currentmax;\n}","function MAX(state) {\n var stack = state.stack;\n var e2 = stack.pop();\n var e1 = stack.pop();\n\n if (DEBUG) console.log(state.step, 'MAX[]', e2, e1);\n\n stack.push(Math.max(e1, e2));\n}","function findMax(node) {\n if (node == null) return 0;\n\n let res = node.value;\n let lres = findMax(node.left);\n let rres = findMax(node.right);\n\n if (lres > res) res = lres;\n if (rres > res) res = rres;\n return res;\n}","static getMax2(array) {\n let max = -Infinity;\n for (let i = 0; i < array.length; i++) {\n if (array[i] > max) {\n max = array[i]\n }\n }\n return max\n }","buildMaxHeap() {}","function max(x) {\n var value = x[0];\n for (var i = 1; i < x.length; i++) {\n if (x[i] > value) {\n value = x[i];\n }\n }\n return value;\n}","get max() {\n return this.args.max || null;\n }","Dequeue() {\r\n if (this.heap.length == 0) return;\r\n const highestPriority = this.heap[0];\r\n const leastPriority = this.heap[this.heap.length - 1];\r\n //swap first and last priority\r\n this.heap[this.heap.length - 1] = highestPriority;\r\n this.heap[0] = leastPriority;\r\n this.heap.pop();\r\n let nodeIndex = 0; //sink down\r\n while (true) {\r\n const left = this.heap[2 * nodeIndex + 1];\r\n const right = this.heap[2 * nodeIndex + 2];\r\n const leastElement = this.heap[nodeIndex];\r\n if (\r\n right &&\r\n right.priority < left.priority &&\r\n right.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 2] = leastElement;\r\n this.heap[nodeIndex] = right;\r\n nodeIndex = 2 * nodeIndex + 2;\r\n } else if (\r\n left &&\r\n left.priority < right.priority &&\r\n left.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 1] = leastElement;\r\n this.heap[nodeIndex] = left;\r\n nodeIndex = 2 * nodeIndex + 1;\r\n } else {\r\n break;\r\n }\r\n }\r\n\r\n return highestPriority;\r\n }","extractMax() {\n let extracted = this.values[0]\n let end = this.values.pop()\n if (this.values.length > 0) {\n this.values[0] = end\n this.sinkDown()\n }\n return extracted\n }","findMax() {\n\n // It will keep the last data until current right is null\n let current = this.root;\n while (current.right !== null) {\n current = current.right;\n }\n\n return current.data;\n }","function max(arr) {\n var m = -Infinity;\n\n for(var i=0; i< arr.length; i++)\n if(arr[i] > m) m = arr[i];\n return m;\n}","function maxHeapBuild(arr) {\n if (arr.length <= 1) return;\n createHeap(arr, arr.length);\n return arr;\n}","function maxHeapify(arr , n , i)\n\t{\n\t\n\t\t// Find largest of node and its children\n\t\tif (i >= n) {\n\t\t\treturn;\n\t\t}\n\t\tvar l = i * 2 + 1;\n\t\tvar r = i * 2 + 2;\n\t\tvar max;\n\t\tif (l < n && arr[l] > arr[i]) {\n\t\t\tmax = l;\n\t\t} else\n\t\t\tmax = i;\n\t\tif (r < n && arr[r] > arr[max]) {\n\t\t\tmax = r;\n\t\t}\n\n\t\t// Put maximum value at root and\n\t\t// recur for the child with the\n\t\t// maximum value\n\t\tif (max != i) {\n\t\t\tvar temp = arr[max];\n\t\t\tarr[max] = arr[i];\n\t\t\tarr[i] = temp;\n\t\t\tmaxHeapify(arr, n, max);\n\t\t}\n\t}","function getMaxVal(valArr) {\n if(!valArr){\n\treturn null;\n }\n\n var max = valArr[0];\n for(var i = 1; i < valArr.length; i++){\n\tif(valArr[i] > max){\n\t max = valArr[i];\n\t}\n }\n\n return max;\n}","function nMax(){\n var arr=[-3,3,5,7];\n var max= arr[0];\n for(var i = 0; i< arr.length; i++){\n if(arr[i]>max){\n max=arr[i];\n arr.splice(max);\n }\n }\n for(var i=0; i<arr.length;i++){\n if(arr[i]>max){\n max=arr[i];\n \n }\n }\n console.log(max);\n return max;\n }","function max_element(n, metric){\n var m = metric(n[0]), b = n[0];\n for(var i = 1; i < n.length; i++){\n var v = metric(n[i]);\n if(v > m){\n m = v;\n b = n[i];\n }\n }\n return b;\n}","getHead() {\n return this.maxheap[1]\n }","function maxtable(){\n var maximum = Math.max.apply(null, tabValue);\n console.log(tabValue);\n tabValue = [];\n console.log(\"sending value to node.js : \" + maximum);\n return maximum;\n}","function max() {\n var maxValue = arguments[0];\n for (var i = 0; i < arguments.length; i++) {\n if (arguments[i] > maxValue) {\n maxValue = arguments[i];\n }\n }\n return maxValue;\n}","maxToBack(){\n var runner = this.head;\n var max = this.head\n var prevnode = this.head\n var maxprev = null\n while (runner != null) {\n if (runner.val > max.val) {\n max = runner;\n maxprev = prevnode\n }\n prevnode = runner\n runner = runner.next\n }\n prevnode.next = max\n maxprev.next = max.next\n max.next = null;\n }","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","function maxHeap(array, n, i) {\n let largest = i;\n let left = 2 * i + 1;\n let right = 2 * i + 2;\n if (left < n && array[left] > array[largest]) {\n largest = left;\n }\n\n // If right child is larger than largest so far\n if (right < n && array[right] > array[largest]) {\n largest = right;\n }\n\n // If largest is not root\n if (largest != i) {\n let swap = array[i];\n array[i] = array[largest];\n array[largest] = swap;\n\n // Recursively heapify the affected sub-tree\n maxHeap(array, n, largest);\n }\n}","function getMax() {\n var max = Math.max.apply(null, config.values);\n max += 10 - max % 10;\n return max;\n console.log(max);\n }","function maxOf(array){\n if(array.length === 1){\n return array[0]\n } else{\n return Math.max(array.pop(), maxOf(array))\n }\n}","function max(x) { \n // assert x != null;\n if (x.right == null || x.right == undefined) \n \treturn x; \n else\n \treturn max(x.right); \n }","function maximum(array, max = Number.MIN_SAFE_INTEGER){\n if(array.length === 0)\n return max;\n else{\n let x = array.pop();\n if(x > max) max = x;\n return maximum(array, max);\n }\n}","get max() {\r\n return this._max\r\n }","function heap_root(input, i) { \n var left = 2 * i + 1; \n var right = 2 * i + 2; \n var max = i; \n \n if (left < array_length && input[left] > input[max]) { \n max = left; \n } \n \n if (right < array_length && input[right] > input[max]) { \n max = right; \n } \n \n if (max != i) { \n swap(input, i, max); \n heap_root(input, max); \n } \n}","function YLightSensor_get_highestValue()\n { var json_val = this._getAttr('highestValue');\n return (json_val == null ? Y_HIGHESTVALUE_INVALID : Math.round(json_val/6553.6) / 10);\n }","function max(x, y) {\n return lte(x, y) ? y : x;\n }","function max(x,y){\n if(x>y){\n return x\n } else {\n return y\n }\n}","max() {\n let current = this.root\n if (current == null)\n return null\n while (current.right != null)\n current = current.right\n return current.content\n }","function maxHeapify(idx, hSize) {\n let largest;\n const left = (2 * idx) + 1;\n const right = (2 * idx) + 2;\n if (left < hSize && array[left] > array[idx]) {\n largest = left;\n } else {\n largest = idx;\n }\n if (right < hSize && array[right] > array[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n const temp = array[idx];\n array[idx] = array[largest];\n array[largest] = temp;\n maxHeapify(largest, hSize);\n }\n}","function max(){\n return Math.max.apply(null, arguments)\n }","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","function findNextHighest() {\n var temp = highest;\n while (numStore[highest] === undefined) {\n highest = highest - 1;\n }\n return highest;\n }"],"string":"[\n \"findMax() {\\r\\n\\t\\treturn this.heap[0];\\r\\n\\t}\",\n \"extractMax() {\\n\\t\\tconst max = this.heap[0];\\n\\t\\tconst tmp = this.heap.pop();\\n\\t\\tif (!this.empty()) {\\n\\t\\t\\tthis.heap[0] = tmp;\\n\\t\\t\\tthis.sinkDown(0);\\n\\t\\t}\\n\\t\\treturn max;\\n\\t}\",\n \"extractMax() {\\r\\n\\t\\tconst max = this.heap[0];\\r\\n\\t\\tthis.remove(max);\\r\\n\\t\\treturn max;\\r\\n\\t}\",\n \"function maxHeap(val, parentVal) {\\n return val > parentVal;\\n}\",\n \"deleteMax() {\\n // recall that we have an empty position at the very front of the array, \\n // so an array length of 2 means there is only 1 item in the heap\\n\\n if (this.array.length === 1) return null;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if no nodes in tree, exit\\n\\n if (this.array.length === 2) return this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\\n\\n let max = this.array[1];\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// save reference to root value (max)\\n\\n this.array[1] = this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // remove last val in array (farthest right node in tree), and update root value with it\\n\\n this.siftDown(1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\\n\\n return max;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// return max value\\n }\",\n \"maxValue() {\\n let currNode = this.top;\\n let maxValue = this.top.value;\\n \\n while (currNode.next) {\\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\\n currNode = currNode.next;\\n }\\n \\n return maxValue;\\n }\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"extractMax() {\\n const max = this.values[0];\\n const end = this.values.pop();\\n this.values[0] = end;\\n this.sinkDown();\\n return max;\\n }\",\n \"function max() {\\n // set node to the root value\\n var node = this.root;\\n // loop until there is no more values to the right\\n while( node.right != null ) {\\n node = node.right; // move to the right value\\n } // end while\\n return node.data;\\n} // end max\",\n \"extractMax() {\\n // swap the first value in the values property with the last value\\n // pop from the values property, so you can return the value at the end.\\n // 'sink down' to the correct spot\\n const max = this.values[0];\\n const end = this.values.pop();\\n if (this.values.length > 0) {\\n this.values[0] = end;\\n // move it to the correct position\\n this.bubbleDown();\\n }\\n return max;\\n }\",\n \"extractMax() {\\n if (this.values.length===1) {\\n return this.values.pop()\\n }\\n let max = this.values[0]\\n let tail = this.values.pop()\\n this.values[0] = tail\\n let index = 0\\n let element = this.values[index]\\n // repeat until neither child is greater than the element\\n while(true) {\\n let swapped = null\\n let leftIndex = 2 * index + 1\\n let rightIndex = 2 * index + 2\\n if (leftIndex < this.values.length) {\\n if(this.values[leftIndex] > element) {\\n swapped = leftIndex\\n }\\n }\\n if (rightIndex < this.values.length) {\\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\\n swapped = rightIndex\\n }\\n }\\n if (swapped===null) break\\n this.values[index] = this.values[swapped]\\n this.values[swapped] = element\\n index = swapped\\n }\\n return max\\n }\",\n \"function MaxHeap(array){\\r\\n Heap.call(this, array);\\r\\n \\r\\n // Build-max-heap method: produces a max-heap from an unordered input array\\r\\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\\r\\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\\r\\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\\r\\n this.floatDownElementOfIndex(i)\\r\\n }\\r\\n}\",\n \"maxHeap(index) {\\n var left = this.left(index);\\n var right = this.right(index);\\n var largest = index;\\n if (left < this.heapSize && this.array[left] > this.array[index]) {\\n largest = left;\\n }\\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\\n largest = right;\\n }\\n if (largest != index) {\\n this.swap(this.array, index, largest);\\n this.maxHeap(largest);\\n }\\n }\",\n \"max() {\\n let currentNode = this.root;\\n // continue traversing right until no more children\\n while(currentNode.right) {\\n currentNode = currentNode.right;\\n }\\n return currentNode.value;\\n }\",\n \"function BSTMax(){\\n var walker = this.root;\\n while (walker.right != null){\\n walker = walker.right;\\n }\\n return walker.val;\\n }\",\n \"extractMax() {\\n let values = this.values;\\n if (values.length === 0) return;\\n let max = values[0];\\n // For time complexity reasons, I swap first then remove the old root node\\n values[0] = values[values.length - 1];\\n values.pop();\\n console.log(values);\\n // instatiate child nodes\\n let child1, child2, indexToSwap;\\n let currentIndex = 0;\\n while (true) {\\n child1 = currentIndex * 2 + 1;\\n child2 = currentIndex * 2 + 2;\\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\\n break;\\n }\\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\\n if (!values[indexToSwap]) break;\\n let oldNode = values[currentIndex];\\n values[currentIndex] = values[indexToSwap];\\n values[indexToSwap] = oldNode;\\n currentIndex = indexToSwap;\\n }\\n this.values = values;\\n return max;\\n }\",\n \"extractMax(){\\n const max = this.values.shift();\\n let current = this.values.pop();\\n if(this.values.length > 0){\\n this.values.unshift(current);\\n this.sinkDown();\\n }\\n return max;\\n }\",\n \"findMaxValue() {\\n\\n let current = this.root;\\n\\n const findMax = (node) => {\\n if (node === null) {\\n return;\\n }\\n\\n let actualMax = node.value;\\n let leftSideMax = findMax(node.left);\\n let rightSideMax = findMax(node.right);\\n\\n if (leftSideMax > actualMax) {\\n actualMax = leftSideMax;\\n }\\n\\n if (rightSideMax > actualMax) {\\n actualMax = rightSideMax;\\n }\\n\\n return actualMax;\\n };\\n\\n return findMax(current);\\n }\",\n \"extractMax() {\\n const max = this.values[0]\\n const end = this.values.pop()\\n\\n if (this.values.length > 0) {\\n this.values[0] = end\\n this._sinkDown()\\n }\\n\\n return max\\n }\",\n \"max() {\\n let currentNode = this.root;\\n // Case for no root\\n if(!currentNode) {\\n throw new Error('This tree does not yet contain any values');\\n return;\\n }\\n while(currentNode.right) {\\n currentNode = currentNode.right;\\n }\\n return currentNode.value;\\n }\",\n \"max() {\\r\\n return this.maxHelper(this.root);\\r\\n }\",\n \"removeMax() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"function findMax(stack) {\\n var maxSize = 0;\\n var max = null;\\n for (var i = 0; i < stack.length; i++) {\\n var peasant = stack[i];\\n if (peasant.size > maxSize) {\\n maxSize = peasant.size;\\n max = peasant;\\n }\\n }\\n\\n return max;\\n}\",\n \"getMax() {\\n let values = [];\\n let current = this.head;\\n\\n // collect all values in the list\\n while (current) {\\n values.push(current.value);\\n\\n current = current.next;\\n }\\n\\n return values.length === 0 ? null : Math.max(...values);\\n }\",\n \"maximum() {\\n if (this.isEmpty()) {\\n return null;\\n }\\n\\n return this.doMaximum(this.root).key;\\n }\",\n \"max(){\\r\\n if(this.isEmpty()){\\r\\n console.log(\\\"Tree is empty!\\\");\\r\\n return null;\\r\\n }\\r\\n let runner = this.root;\\r\\n while(runner.right != null){\\r\\n runner = runner.right;\\r\\n }\\r\\n return runner.value;\\r\\n }\",\n \"extractMax(){\\r\\n if(this.values.length === 1) return this.values.pop();\\r\\n const oldRoot = this.values[0];\\r\\n this.values[0] = this.values[this.values.length-1];\\r\\n this.values.pop();\\r\\n let idx = 0;\\r\\n let child1 = (2*idx) + 1;\\r\\n let child2 = (2*idx) + 2;\\r\\n\\r\\n while(this.values[idx] < this.values[child1] || \\r\\n this.values[idx] < this.values[child2]){\\r\\n child1 = (2*idx) + 1;\\r\\n child2 = (2*idx) + 2;\\r\\n if(this.values[child1] >= this.values[child2]){\\r\\n let temp = this.values[child1];\\r\\n this.values[child1] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child1;\\r\\n } else {\\r\\n let temp = this.values[child2];\\r\\n this.values[child2] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child2;\\r\\n }\\r\\n }\\r\\n return oldRoot;\\r\\n }\",\n \"get maximumValue() {\\r\\n return this.i.bk;\\r\\n }\",\n \"function MaxPriorityQueue(array){\\r\\n MaxHeap.call(this, array)\\r\\n}\",\n \"function max(arr){\\n return sortNumbers(arr)[arr.length - 1];\\n }\",\n \"findMaxNode() {\\n if (this.head == null && this.tail == null) {\\n return undefined;\\n }\\n\\n var runner = this.head\\n var temp = runner\\n while (runner != null) {\\n if ( temp.value < runner.value ){\\n temp = runner\\n }\\n runner = runner.next;\\n \\n }\\n return temp;\\n }\",\n \"maximum() {\\n // Write your code here\\n\\tvar max = this.arr[0];\\n\\tfor(var i=0;i<this.arr.length;i++){\\n\\t\\tif(max>this.arr[i]){\\n\\t\\t max = max;\\n\\t\\t}else{\\n\\t\\t\\tmax = this.arr[i];\\n\\t\\t}\\n\\t}\\n\\treturn max;\\n }\",\n \"get maximumValue() {\\n return this.i.bk;\\n }\",\n \"function maxValue (arr) {\\r\\n// liefert die indexnummer des elmentes im array 'arr' mit dem groessten wert\\r\\n var maxV;\\r\\n if (arr.length > 0) { // wenn das array ueberhaupt elemente enthaelt\\r\\n maxV = 0;\\r\\n for (i = 1; i < arr.length; i++) {\\r\\n if (arr[i]>arr[maxV]) { maxV = i; }\\r\\n }\\r\\n } else {\\r\\n maxV = null\\r\\n }\\r\\n return maxV; \\r\\n}\",\n \"function buildMaxHeap() {\\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\\n maxHeapify(i, array.length);\\n }\\n}\",\n \"findMax() {\\n let current = this.root;\\n // Loop until the rightmost node (no right subtree).\\n while (current.right !== null) {\\n current = current.right;\\n }\\n return current.data;\\n }\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"function largest(){\\r\\n // parse arguments into an array\\r\\n var args = [].slice.call(arguments);\\r\\n var maxNum = 0;\\r\\n\\r\\n // .. do something with each element of args\\r\\n args.forEach(function(value,idx,list) {\\r\\n if (value > maxNum) {\\r\\n maxNum = value;\\r\\n }\\r\\n });\\r\\n\\r\\n return maxNum;\\r\\n\\r\\n}\",\n \"function findMax(array){\\n if(array.length === 1) {\\n return array[0];\\n }\\n var lastValue = array.pop();\\n var currentMax = findMax(array);\\n if(currentMax < lastValue){\\n return lastValue;\\n } else {\\n return currentMax;\\n }\\n // if(findMax(array) < lastValue){\\n // return lastValue;\\n // } else {\\n // return findMax(array);\\n // }\\n}\",\n \"function largest(array){\\r\\n\\treturn Math.max.apply(Math,array);\\r\\n}\",\n \"static maxHeapify(a, i) {\\n let left = Heap.left(i);\\n let right = Heap.right(i);\\n\\n // Find largest node between current, left and right\\n let largest;\\n if (left < a.heap_size && a[left] > a[i])\\n largest = left;\\n else\\n largest = i;\\n\\n if (right < a.heap_size && a[right] > a[largest])\\n largest = right;\\n\\n // Move current element to 'largest' position, and\\n // continue until the element is positioned correctly\\n if (largest != i) {\\n let temp = a[i];\\n a[i] = a[largest];\\n a[largest] = temp;\\n\\n Heap.maxHeapify(a, largest);\\n }\\n }\",\n \"findMaximumValue(root = this.root) {\\n // what does it mean to find the max?\\n // traverse, and check against \\\"last max\\\"\\n\\n // base case: root is null\\n if (!root) return;\\n\\n // base case: root has no children\\n let rootMax = root.val;\\n let leftMax, rightMax;\\n\\n if (root.left) leftMax = this.findMaximumValue(root.left);\\n\\n if (root.right) rightMax = this.findMaximumValue(root.right);\\n\\n // rootMax, leftMax and rightMax\\n // compare them all and just return the\\n // \\\"true max\\\"\\n let max = rootMax;\\n\\n if (leftMax > max) max = leftMax;\\n if (rightMax > max) max = rightMax;\\n\\n return max;\\n }\",\n \"get max() { return this._max; }\",\n \"get max() { return this._max; }\",\n \"get max() { return this._max; }\",\n \"get max() { return this._max; }\",\n \"get max() { return this._max; }\",\n \"get max() { return this._max; }\",\n \"function secondLargestElement(tree) {\\n var current = tree;\\n var previous = tree.value;\\n\\n while (current) {\\n if (current.left && !current.right) {\\n previous = Math.max(current.value, previous);\\n current = current.left;\\n } else if (current.right) {\\n previous = Math.max(current.value, previous);\\n current = current.right;\\n } else if (!current.right && !current.left) {\\n return Math.min(previous, current.value);\\n }\\n\\n }\\n}\",\n \"function getHighest($array){\\n var biggest = Math.max.apply( null, $array );\\n return biggest;\\n}\",\n \"get max() {\\n\\t\\treturn this.__max;\\n\\t}\",\n \"function max(data) {\\n var n = data[0];\\n\\n for (var i = 1; i < data.length; i++) {\\n n = data[i] > n ? data[i] : n;\\n }\\n\\n return n;\\n}\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\",\n \"function maxHeapify(arr, length, parent) {\\n var largest = parent;\\n var leftChild = 2 * parent + 1;\\n var rightChild = 2 * parent + 2;\\n\\n if (leftChild < length && arr[leftChild] > arr[largest]) {\\n largest = leftChild;\\n }\\n\\n if (rightChild < length && arr[rightChild] > arr[largest]) {\\n largest = rightChild;\\n }\\n\\n if (largest != parent) {\\n var temp = arr[largest];\\n arr[largest] = arr[parent];\\n arr[parent] = temp;\\n\\n maxHeapify(arr, length, largest);\\n }\\n}\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"function MAX(state) {\\n var stack = state.stack;\\n var e2 = stack.pop();\\n var e1 = stack.pop();\\n\\n if (exports.DEBUG) {\\n console.log(state.step, 'MAX[]', e2, e1);\\n }\\n\\n stack.push(Math.max(e1, e2));\\n }\",\n \"getMax() {\\n return this.storage[0];\\n }\",\n \"getMax() {\\n return this.storage[0];\\n }\",\n \"function HighestNmb(arr) {\\n return Math.max.apply(null, arr);\\n}\",\n \"function max(arr){\\n\\tvar max = arr[0];\\n\\tfor (var i =0 ; i < arr.length-1 ; i++){\\n\\t\\tif (maxNum < arr[i]){\\n\\t\\t\\treturn arr[i];\\n\\t\\t}\\n\\t}\\n\\treturn maxNum;\\n}\",\n \"max() {}\",\n \"function max(x,y){\\nif (x>y){\\n\\treturn x\\n}else{\\n\\treturn y\\n}}\",\n \"function MAX(state) {\\n const stack = state.stack;\\n const e2 = stack.pop();\\n const e1 = stack.pop();\\n\\n if (exports.DEBUG) console.log(state.step, 'MAX[]', e2, e1);\\n\\n stack.push(Math.max(e1, e2));\\n}\",\n \"function max(array) {\\n\\tvar currentmax = array[0];\\n\\tarray.forEach(function(element) {\\n\\t\\tif(element > currentmax) {\\n\\t\\t\\tcurrentmax = element;\\n\\t\\t}\\n\\t});\\n\\treturn currentmax;\\n}\",\n \"function MAX(state) {\\n var stack = state.stack;\\n var e2 = stack.pop();\\n var e1 = stack.pop();\\n\\n if (DEBUG) console.log(state.step, 'MAX[]', e2, e1);\\n\\n stack.push(Math.max(e1, e2));\\n}\",\n \"function findMax(node) {\\n if (node == null) return 0;\\n\\n let res = node.value;\\n let lres = findMax(node.left);\\n let rres = findMax(node.right);\\n\\n if (lres > res) res = lres;\\n if (rres > res) res = rres;\\n return res;\\n}\",\n \"static getMax2(array) {\\n let max = -Infinity;\\n for (let i = 0; i < array.length; i++) {\\n if (array[i] > max) {\\n max = array[i]\\n }\\n }\\n return max\\n }\",\n \"buildMaxHeap() {}\",\n \"function max(x) {\\n var value = x[0];\\n for (var i = 1; i < x.length; i++) {\\n if (x[i] > value) {\\n value = x[i];\\n }\\n }\\n return value;\\n}\",\n \"get max() {\\n return this.args.max || null;\\n }\",\n \"Dequeue() {\\r\\n if (this.heap.length == 0) return;\\r\\n const highestPriority = this.heap[0];\\r\\n const leastPriority = this.heap[this.heap.length - 1];\\r\\n //swap first and last priority\\r\\n this.heap[this.heap.length - 1] = highestPriority;\\r\\n this.heap[0] = leastPriority;\\r\\n this.heap.pop();\\r\\n let nodeIndex = 0; //sink down\\r\\n while (true) {\\r\\n const left = this.heap[2 * nodeIndex + 1];\\r\\n const right = this.heap[2 * nodeIndex + 2];\\r\\n const leastElement = this.heap[nodeIndex];\\r\\n if (\\r\\n right &&\\r\\n right.priority < left.priority &&\\r\\n right.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 2] = leastElement;\\r\\n this.heap[nodeIndex] = right;\\r\\n nodeIndex = 2 * nodeIndex + 2;\\r\\n } else if (\\r\\n left &&\\r\\n left.priority < right.priority &&\\r\\n left.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 1] = leastElement;\\r\\n this.heap[nodeIndex] = left;\\r\\n nodeIndex = 2 * nodeIndex + 1;\\r\\n } else {\\r\\n break;\\r\\n }\\r\\n }\\r\\n\\r\\n return highestPriority;\\r\\n }\",\n \"extractMax() {\\n let extracted = this.values[0]\\n let end = this.values.pop()\\n if (this.values.length > 0) {\\n this.values[0] = end\\n this.sinkDown()\\n }\\n return extracted\\n }\",\n \"findMax() {\\n\\n // It will keep the last data until current right is null\\n let current = this.root;\\n while (current.right !== null) {\\n current = current.right;\\n }\\n\\n return current.data;\\n }\",\n \"function max(arr) {\\n var m = -Infinity;\\n\\n for(var i=0; i< arr.length; i++)\\n if(arr[i] > m) m = arr[i];\\n return m;\\n}\",\n \"function maxHeapBuild(arr) {\\n if (arr.length <= 1) return;\\n createHeap(arr, arr.length);\\n return arr;\\n}\",\n \"function maxHeapify(arr , n , i)\\n\\t{\\n\\t\\n\\t\\t// Find largest of node and its children\\n\\t\\tif (i >= n) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tvar l = i * 2 + 1;\\n\\t\\tvar r = i * 2 + 2;\\n\\t\\tvar max;\\n\\t\\tif (l < n && arr[l] > arr[i]) {\\n\\t\\t\\tmax = l;\\n\\t\\t} else\\n\\t\\t\\tmax = i;\\n\\t\\tif (r < n && arr[r] > arr[max]) {\\n\\t\\t\\tmax = r;\\n\\t\\t}\\n\\n\\t\\t// Put maximum value at root and\\n\\t\\t// recur for the child with the\\n\\t\\t// maximum value\\n\\t\\tif (max != i) {\\n\\t\\t\\tvar temp = arr[max];\\n\\t\\t\\tarr[max] = arr[i];\\n\\t\\t\\tarr[i] = temp;\\n\\t\\t\\tmaxHeapify(arr, n, max);\\n\\t\\t}\\n\\t}\",\n \"function getMaxVal(valArr) {\\n if(!valArr){\\n\\treturn null;\\n }\\n\\n var max = valArr[0];\\n for(var i = 1; i < valArr.length; i++){\\n\\tif(valArr[i] > max){\\n\\t max = valArr[i];\\n\\t}\\n }\\n\\n return max;\\n}\",\n \"function nMax(){\\n var arr=[-3,3,5,7];\\n var max= arr[0];\\n for(var i = 0; i< arr.length; i++){\\n if(arr[i]>max){\\n max=arr[i];\\n arr.splice(max);\\n }\\n }\\n for(var i=0; i<arr.length;i++){\\n if(arr[i]>max){\\n max=arr[i];\\n \\n }\\n }\\n console.log(max);\\n return max;\\n }\",\n \"function max_element(n, metric){\\n var m = metric(n[0]), b = n[0];\\n for(var i = 1; i < n.length; i++){\\n var v = metric(n[i]);\\n if(v > m){\\n m = v;\\n b = n[i];\\n }\\n }\\n return b;\\n}\",\n \"getHead() {\\n return this.maxheap[1]\\n }\",\n \"function maxtable(){\\n var maximum = Math.max.apply(null, tabValue);\\n console.log(tabValue);\\n tabValue = [];\\n console.log(\\\"sending value to node.js : \\\" + maximum);\\n return maximum;\\n}\",\n \"function max() {\\n var maxValue = arguments[0];\\n for (var i = 0; i < arguments.length; i++) {\\n if (arguments[i] > maxValue) {\\n maxValue = arguments[i];\\n }\\n }\\n return maxValue;\\n}\",\n \"maxToBack(){\\n var runner = this.head;\\n var max = this.head\\n var prevnode = this.head\\n var maxprev = null\\n while (runner != null) {\\n if (runner.val > max.val) {\\n max = runner;\\n maxprev = prevnode\\n }\\n prevnode = runner\\n runner = runner.next\\n }\\n prevnode.next = max\\n maxprev.next = max.next\\n max.next = null;\\n }\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"function maxHeap(array, n, i) {\\n let largest = i;\\n let left = 2 * i + 1;\\n let right = 2 * i + 2;\\n if (left < n && array[left] > array[largest]) {\\n largest = left;\\n }\\n\\n // If right child is larger than largest so far\\n if (right < n && array[right] > array[largest]) {\\n largest = right;\\n }\\n\\n // If largest is not root\\n if (largest != i) {\\n let swap = array[i];\\n array[i] = array[largest];\\n array[largest] = swap;\\n\\n // Recursively heapify the affected sub-tree\\n maxHeap(array, n, largest);\\n }\\n}\",\n \"function getMax() {\\n var max = Math.max.apply(null, config.values);\\n max += 10 - max % 10;\\n return max;\\n console.log(max);\\n }\",\n \"function maxOf(array){\\n if(array.length === 1){\\n return array[0]\\n } else{\\n return Math.max(array.pop(), maxOf(array))\\n }\\n}\",\n \"function max(x) { \\n // assert x != null;\\n if (x.right == null || x.right == undefined) \\n \\treturn x; \\n else\\n \\treturn max(x.right); \\n }\",\n \"function maximum(array, max = Number.MIN_SAFE_INTEGER){\\n if(array.length === 0)\\n return max;\\n else{\\n let x = array.pop();\\n if(x > max) max = x;\\n return maximum(array, max);\\n }\\n}\",\n \"get max() {\\r\\n return this._max\\r\\n }\",\n \"function heap_root(input, i) { \\n var left = 2 * i + 1; \\n var right = 2 * i + 2; \\n var max = i; \\n \\n if (left < array_length && input[left] > input[max]) { \\n max = left; \\n } \\n \\n if (right < array_length && input[right] > input[max]) { \\n max = right; \\n } \\n \\n if (max != i) { \\n swap(input, i, max); \\n heap_root(input, max); \\n } \\n}\",\n \"function YLightSensor_get_highestValue()\\n { var json_val = this._getAttr('highestValue');\\n return (json_val == null ? Y_HIGHESTVALUE_INVALID : Math.round(json_val/6553.6) / 10);\\n }\",\n \"function max(x, y) {\\n return lte(x, y) ? y : x;\\n }\",\n \"function max(x,y){\\n if(x>y){\\n return x\\n } else {\\n return y\\n }\\n}\",\n \"max() {\\n let current = this.root\\n if (current == null)\\n return null\\n while (current.right != null)\\n current = current.right\\n return current.content\\n }\",\n \"function maxHeapify(idx, hSize) {\\n let largest;\\n const left = (2 * idx) + 1;\\n const right = (2 * idx) + 2;\\n if (left < hSize && array[left] > array[idx]) {\\n largest = left;\\n } else {\\n largest = idx;\\n }\\n if (right < hSize && array[right] > array[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n const temp = array[idx];\\n array[idx] = array[largest];\\n array[largest] = temp;\\n maxHeapify(largest, hSize);\\n }\\n}\",\n \"function max(){\\n return Math.max.apply(null, arguments)\\n }\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"function findNextHighest() {\\n var temp = highest;\\n while (numStore[highest] === undefined) {\\n highest = highest - 1;\\n }\\n return highest;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.84279215","0.82991564","0.7957347","0.78086686","0.7646159","0.7423833","0.73725516","0.7348753","0.72745484","0.72237366","0.72114444","0.7197894","0.7177174","0.7163383","0.7146565","0.70919085","0.70852536","0.70802695","0.7070464","0.7062798","0.7037336","0.7013775","0.6969921","0.6968393","0.6965604","0.69146156","0.6899203","0.686","0.6844688","0.6844106","0.6824768","0.6817568","0.6816355","0.68104315","0.67739224","0.67003083","0.6676564","0.66745853","0.6662407","0.6651277","0.6637021","0.66293","0.66171575","0.6610276","0.6610276","0.6610276","0.6610276","0.6610276","0.6610276","0.6599275","0.65978974","0.6584784","0.6583263","0.6577867","0.65719116","0.6570493","0.65587115","0.65565866","0.65565866","0.65549755","0.652271","0.6509924","0.6507809","0.6497283","0.6490893","0.64908534","0.6488649","0.6472934","0.6471766","0.6469162","0.6465769","0.64610565","0.6457766","0.64513665","0.6445873","0.6439046","0.64361554","0.64356595","0.6434895","0.6434795","0.6427546","0.6426731","0.64243734","0.6418554","0.64181","0.64164275","0.6413261","0.6412956","0.64123935","0.6404784","0.6402987","0.640093","0.63978416","0.6397023","0.63945687","0.6381715","0.63789654","0.63782084","0.63776886","0.63776886","0.63760304"],"string":"[\n \"0.84279215\",\n \"0.82991564\",\n \"0.7957347\",\n \"0.78086686\",\n \"0.7646159\",\n \"0.7423833\",\n \"0.73725516\",\n \"0.7348753\",\n \"0.72745484\",\n \"0.72237366\",\n \"0.72114444\",\n \"0.7197894\",\n \"0.7177174\",\n \"0.7163383\",\n \"0.7146565\",\n \"0.70919085\",\n \"0.70852536\",\n \"0.70802695\",\n \"0.7070464\",\n \"0.7062798\",\n \"0.7037336\",\n \"0.7013775\",\n \"0.6969921\",\n \"0.6968393\",\n \"0.6965604\",\n \"0.69146156\",\n \"0.6899203\",\n \"0.686\",\n \"0.6844688\",\n \"0.6844106\",\n \"0.6824768\",\n \"0.6817568\",\n \"0.6816355\",\n \"0.68104315\",\n \"0.67739224\",\n \"0.67003083\",\n \"0.6676564\",\n \"0.66745853\",\n \"0.6662407\",\n \"0.6651277\",\n \"0.6637021\",\n \"0.66293\",\n \"0.66171575\",\n \"0.6610276\",\n \"0.6610276\",\n \"0.6610276\",\n \"0.6610276\",\n \"0.6610276\",\n \"0.6610276\",\n \"0.6599275\",\n \"0.65978974\",\n \"0.6584784\",\n \"0.6583263\",\n \"0.6577867\",\n \"0.65719116\",\n \"0.6570493\",\n \"0.65587115\",\n \"0.65565866\",\n \"0.65565866\",\n \"0.65549755\",\n \"0.652271\",\n \"0.6509924\",\n \"0.6507809\",\n \"0.6497283\",\n \"0.6490893\",\n \"0.64908534\",\n \"0.6488649\",\n \"0.6472934\",\n \"0.6471766\",\n \"0.6469162\",\n \"0.6465769\",\n \"0.64610565\",\n \"0.6457766\",\n \"0.64513665\",\n \"0.6445873\",\n \"0.6439046\",\n \"0.64361554\",\n \"0.64356595\",\n \"0.6434895\",\n \"0.6434795\",\n \"0.6427546\",\n \"0.6426731\",\n \"0.64243734\",\n \"0.6418554\",\n \"0.64181\",\n \"0.64164275\",\n \"0.6413261\",\n \"0.6412956\",\n \"0.64123935\",\n \"0.6404784\",\n \"0.6402987\",\n \"0.640093\",\n \"0.63978416\",\n \"0.6397023\",\n \"0.63945687\",\n \"0.6381715\",\n \"0.63789654\",\n \"0.63782084\",\n \"0.63776886\",\n \"0.63776886\",\n \"0.63760304\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":182,"cells":{"query":{"kind":"string","value":"removes the max value from the heap"},"document":{"kind":"string","value":"removeMin() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.length === 2) return this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\n\n let max = this.array[1];\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// save reference to root value (max)\n\n this.array[1] = this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t // remove last val in array (farthest right node in tree), and update root value with it\n\n this.siftDown(1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\n\n return max;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// return max value\n }","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","extractMax() {\r\n\t\tconst max = this.heap[0];\r\n\t\tthis.remove(max);\r\n\t\treturn max;\r\n\t}","extractMax() {\n\t\tconst max = this.heap[0];\n\t\tconst tmp = this.heap.pop();\n\t\tif (!this.empty()) {\n\t\t\tthis.heap[0] = tmp;\n\t\t\tthis.sinkDown(0);\n\t\t}\n\t\treturn max;\n\t}","remove() {\n // Swap root value with last element in the heap\n // Pop the last element from heap array\n // Perform siftDown to correct position of swapped value\n // Return popped value\n this.swap(0, this.heap.length - 1, this.heap);\n const valueToRemove = this.heap.pop();\n this.siftDown(0, this.heap.length - 1, this.heap);\n \n return valueToRemove;\n }","function maxHeapify(arr){\n\n}","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","function nMax(){\n var arr=[-3,3,5,7];\n var max= arr[0];\n for(var i = 0; i< arr.length; i++){\n if(arr[i]>max){\n max=arr[i];\n arr.splice(max);\n }\n }\n for(var i=0; i<arr.length;i++){\n if(arr[i]>max){\n max=arr[i];\n \n }\n }\n console.log(max);\n return max;\n }","function maxHeap(val, parentVal) {\n return val > parentVal;\n}","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","delMin() {\n /*\n * Save reference to the min key.\n * Swap the min key with the last key in the heap.\n * Decrement n so that the key does not swim back up the heap.\n * Sink down the heap to fix any violations that have arisen.\n * Delete the min key to prevent loitering, and return its reference.\n */\n let min = this.heap[1];\n\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\n this.n--;\n this.sink(1);\n this.heap[this.n+1] = null;\n\n return min;\n }","function deleteMax(h) { \n if (isRed(h.left))\n h = rotateRight(h);\n\n if (h.right == null || h.right == undefined)\n return null;\n\n if (!isRed(h.right) && !isRed(h.right.left))\n h = moveRedRight(h);\n\n h.right = deleteMax(h.right);\n\n return balance(h);\n }","heapDown(index) {\n const [leftIndex, rightIndex] = this.children(index);\n \n if (!leftIndex && !rightIndex) return;\n\n let min;\n rightIndex ? min = rightIndex : min = leftIndex;\n if ((leftIndex && rightIndex) &&\n this.store[leftIndex].key < this.store[rightIndex].key) {\n min = leftIndex;\n }\n\n if (this.store[index].key > this.store[min].key) {\n this.swap(index, min);\n this.heapDown(min);\n }\n }","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","extractMax(){\n const max = this.values.shift();\n let current = this.values.pop();\n if(this.values.length > 0){\n this.values.unshift(current);\n this.sinkDown();\n }\n return max;\n }","findMax() {\r\n\t\treturn this.heap[0];\r\n\t}","extractMax(){\r\n if(this.values.length === 1) return this.values.pop();\r\n const oldRoot = this.values[0];\r\n this.values[0] = this.values[this.values.length-1];\r\n this.values.pop();\r\n let idx = 0;\r\n let child1 = (2*idx) + 1;\r\n let child2 = (2*idx) + 2;\r\n\r\n while(this.values[idx] < this.values[child1] || \r\n this.values[idx] < this.values[child2]){\r\n child1 = (2*idx) + 1;\r\n child2 = (2*idx) + 2;\r\n if(this.values[child1] >= this.values[child2]){\r\n let temp = this.values[child1];\r\n this.values[child1] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child1;\r\n } else {\r\n let temp = this.values[child2];\r\n this.values[child2] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child2;\r\n }\r\n }\r\n return oldRoot;\r\n }","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.minHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","extractMax() {\n if (this.values.length===1) {\n return this.values.pop()\n }\n let max = this.values[0]\n let tail = this.values.pop()\n this.values[0] = tail\n let index = 0\n let element = this.values[index]\n // repeat until neither child is greater than the element\n while(true) {\n let swapped = null\n let leftIndex = 2 * index + 1\n let rightIndex = 2 * index + 2\n if (leftIndex < this.values.length) {\n if(this.values[leftIndex] > element) {\n swapped = leftIndex\n }\n }\n if (rightIndex < this.values.length) {\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\n swapped = rightIndex\n }\n }\n if (swapped===null) break\n this.values[index] = this.values[swapped]\n this.values[swapped] = element\n index = swapped\n }\n return max\n }","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}","extractMax() {\n let values = this.values;\n if (values.length === 0) return;\n let max = values[0];\n // For time complexity reasons, I swap first then remove the old root node\n values[0] = values[values.length - 1];\n values.pop();\n console.log(values);\n // instatiate child nodes\n let child1, child2, indexToSwap;\n let currentIndex = 0;\n while (true) {\n child1 = currentIndex * 2 + 1;\n child2 = currentIndex * 2 + 2;\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\n break;\n }\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\n if (!values[indexToSwap]) break;\n let oldNode = values[currentIndex];\n values[currentIndex] = values[indexToSwap];\n values[indexToSwap] = oldNode;\n currentIndex = indexToSwap;\n }\n this.values = values;\n return max;\n }","buildMaxHeap() {}","maxToBack(){\n var runner = this.head;\n var max = this.head\n var prevnode = this.head\n var maxprev = null\n while (runner != null) {\n if (runner.val > max.val) {\n max = runner;\n maxprev = prevnode\n }\n prevnode = runner\n runner = runner.next\n }\n prevnode.next = max\n maxprev.next = max.next\n max.next = null;\n }","function MaxPriorityQueue(array){\r\n MaxHeap.call(this, array)\r\n}","maxHeap(index) {\n var left = this.left(index);\n var right = this.right(index);\n var largest = index;\n if (left < this.heapSize && this.array[left] > this.array[index]) {\n largest = left;\n }\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\n largest = right;\n }\n if (largest != index) {\n this.swap(this.array, index, largest);\n this.maxHeap(largest);\n }\n }","function buildMaxHeap() {\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\n maxHeapify(i, array.length);\n }\n}","Dequeue() {\r\n if (this.heap.length == 0) return;\r\n const highestPriority = this.heap[0];\r\n const leastPriority = this.heap[this.heap.length - 1];\r\n //swap first and last priority\r\n this.heap[this.heap.length - 1] = highestPriority;\r\n this.heap[0] = leastPriority;\r\n this.heap.pop();\r\n let nodeIndex = 0; //sink down\r\n while (true) {\r\n const left = this.heap[2 * nodeIndex + 1];\r\n const right = this.heap[2 * nodeIndex + 2];\r\n const leastElement = this.heap[nodeIndex];\r\n if (\r\n right &&\r\n right.priority < left.priority &&\r\n right.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 2] = leastElement;\r\n this.heap[nodeIndex] = right;\r\n nodeIndex = 2 * nodeIndex + 2;\r\n } else if (\r\n left &&\r\n left.priority < right.priority &&\r\n left.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 1] = leastElement;\r\n this.heap[nodeIndex] = left;\r\n nodeIndex = 2 * nodeIndex + 1;\r\n } else {\r\n break;\r\n }\r\n }\r\n\r\n return highestPriority;\r\n }","function MaxHeap(array){\r\n Heap.call(this, array);\r\n \r\n // Build-max-heap method: produces a max-heap from an unordered input array\r\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\r\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\r\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\r\n this.floatDownElementOfIndex(i)\r\n }\r\n}","extractMax() {\n const max = this.values[0];\n const end = this.values.pop();\n this.values[0] = end;\n this.sinkDown();\n return max;\n }","remove() {\n if (this.isEmpty()) return;\n this.swap(0, this.store.length - 1);\n const { value } = this.store.pop();\n if (!this.isEmpty()) this.heapDown(0);\n return value;\n }","static maxHeapify(a, i) {\n let left = Heap.left(i);\n let right = Heap.right(i);\n\n // Find largest node between current, left and right\n let largest;\n if (left < a.heap_size && a[left] > a[i])\n largest = left;\n else\n largest = i;\n\n if (right < a.heap_size && a[right] > a[largest])\n largest = right;\n\n // Move current element to 'largest' position, and\n // continue until the element is positioned correctly\n if (largest != i) {\n let temp = a[i];\n a[i] = a[largest];\n a[largest] = temp;\n\n Heap.maxHeapify(a, largest);\n }\n }","function heapSortV2(array) {\n\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\n heapify(array, array.length, i); // array length not really used for this part\n }\n\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \"delete\" max val until heap region is \"empty\"\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\n\n console.log(array);\n\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\n }\n\n return array;\n}","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","function heapSort(array){\n // 1: Construction\n let heap = new MaxHeap()\n array.forEach(ele => {\n heap.insert(ele)\n });\n\n// 2: sortdown \n let sorted = []\n while (heap.array.length > 1){\n sorted.push(heap.deleteMax())\n }\n return sorted\n}","function MinHeap(){\n\tthis.maxIndex = -1;\n\tthis.arr = {};\n}","dequeue (){\n // let removedRoot = this.values[0];\n //replace with last added value\n //TEACHERS SOLUTION\n const min = this.values[0];\n const end = this.values.pop();\n //EDGE CASE IF NOTHING LEFT IN\n if(this.values.length > 0){\n //LINE 97 CAUSES A FOREVER LOOP WITH THE LAST ELEMENT IF WE DON'T ADD THE CONDITIONAL, BECAUSE WE REASSIGN THE ROOT TO BE END (WHICH WAS THE ORIGINAL ROOT IF THERE'S ONLY ONE ELEMENT)\n this.values[0] = end;\n //START TRICKLE DOWN\n this.sinkDown();\n }\n \n \n return min;\n }","remove(key) {\n this.storage.set(getIndexBelowMax(key), undefined);\n }","extractMax() {\n // swap the first value in the values property with the last value\n // pop from the values property, so you can return the value at the end.\n // 'sink down' to the correct spot\n const max = this.values[0];\n const end = this.values.pop();\n if (this.values.length > 0) {\n this.values[0] = end;\n // move it to the correct position\n this.bubbleDown();\n }\n return max;\n }","function maxHeapify(arr, length, parent) {\n var largest = parent;\n var leftChild = 2 * parent + 1;\n var rightChild = 2 * parent + 2;\n\n if (leftChild < length && arr[leftChild] > arr[largest]) {\n largest = leftChild;\n }\n\n if (rightChild < length && arr[rightChild] > arr[largest]) {\n largest = rightChild;\n }\n\n if (largest != parent) {\n var temp = arr[largest];\n arr[largest] = arr[parent];\n arr[parent] = temp;\n\n maxHeapify(arr, length, largest);\n }\n}","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","function maxHeapBuild(arr) {\n if (arr.length <= 1) return;\n createHeap(arr, arr.length);\n return arr;\n}","maxToBack(){\n // your code here\n var runner = this.head\n var max = runner\n while (runner.next != null){\n if (runner.next.value > max.value){\n max = runner.next\n }\n runner = runner.next\n }\n var temp = runner.value\n runner.value = max.value\n max.value = temp\n return this\n }","function heapifyStandart(currentIndex, heapSize ,arr){\n\n var largestElement = currentIndex\n var leftIndex = 2 * currentIndex + 1\n var rightIndex = 2 * currentIndex + 2\n\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\n largestElement = leftIndex\n }\n \n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\n largestElement = rightIndex\n }\n\n if (largestElement != currentIndex){\n swapArrayElement(currentIndex, largestElement, arr)\n heapifyStandart(largestElement, heapSize, arr)\n }\n}","static buildMaxHeap(a) {\n a.heap_size = a.length;\n\n // Max-heapify the first n/2 elements as\n // they are tree nodes, and the remaining are\n // usually tree leaves\n let mid = parseInt(a.length / 2);\n for (let i = mid; i >= 0; i -= 1) {\n Heap.maxHeapify(a, i);\n }\n }","function minheap_extract(heap) \n{\n var PrintE;\n PrintE = heap[0];\n heap[0] = heap[heap.length - 1];\n\n var a,large;\n var temp = heap.pop();\n for (a=0;a<heap.length;a=large)\n {\n if (2*a+2>heap.length)\n {break;}\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\n {\n if (heap[a]>heap[2*a+2])\n {\n temp = heap [a];\n heap[a] = heap[2*a+2];\n heap[2*a+2] = temp; \n large = 2*a+2; \n }\n else\n {break;}\n }\n else\n {\n if (heap[a]>heap[2*a+1])\n {\n temp = heap [2*a+1];\n heap[2*a+1] = heap[a];\n heap[a] = temp; \n large = 2*a+1;\n }\n else\n {break;}\n }\n }\n return PrintE;\n}","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","function heap_root(input, i) { \n var left = 2 * i + 1; \n var right = 2 * i + 2; \n var max = i; \n \n if (left < array_length && input[left] > input[max]) { \n max = left; \n } \n \n if (right < array_length && input[right] > input[max]) { \n max = right; \n } \n \n if (max != i) { \n swap(input, i, max); \n heap_root(input, max); \n } \n}","function heapDown(i) {\n\t var w = heapWeight(i)\n\t while(true) {\n\t var tw = w\n\t var left = 2*i + 1\n\t var right = 2*(i + 1)\n\t var next = i\n\t if(left < heapCount) {\n\t var lw = heapWeight(left)\n\t if(lw < tw) {\n\t next = left\n\t tw = lw\n\t }\n\t }\n\t if(right < heapCount) {\n\t var rw = heapWeight(right)\n\t if(rw < tw) {\n\t next = right\n\t }\n\t }\n\t if(next === i) {\n\t return i\n\t }\n\t heapSwap(i, next)\n\t i = next \n\t }\n\t }","function heapDown(i) {\n\t var w = heapWeight(i)\n\t while(true) {\n\t var tw = w\n\t var left = 2*i + 1\n\t var right = 2*(i + 1)\n\t var next = i\n\t if(left < heapCount) {\n\t var lw = heapWeight(left)\n\t if(lw < tw) {\n\t next = left\n\t tw = lw\n\t }\n\t }\n\t if(right < heapCount) {\n\t var rw = heapWeight(right)\n\t if(rw < tw) {\n\t next = right\n\t }\n\t }\n\t if(next === i) {\n\t return i\n\t }\n\t heapSwap(i, next)\n\t i = next \n\t }\n\t }","function heapDown(i) {\n var w = heapWeight(i)\n while(true) {\n var tw = w\n var left = 2*i + 1\n var right = 2*(i + 1)\n var next = i\n if(left < heapCount) {\n var lw = heapWeight(left)\n if(lw < tw) {\n next = left\n tw = lw\n }\n }\n if(right < heapCount) {\n var rw = heapWeight(right)\n if(rw < tw) {\n next = right\n }\n }\n if(next === i) {\n return i\n }\n heapSwap(i, next)\n i = next \n }\n }","heapifyDown(){\n let idx = 0,\n element = this.values[idx],\n swap,\n leftChildIdx,\n rightChildIdx,\n leftChild,\n rightChild;\n while (true){\n swap = null;\n leftChildIdx = (2 * idx) + 1;\n rightChildIdx = (2 * idx) + 2;\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\n swap = leftChildIdx\n }\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\n swap = rightChildIdx;\n }\n if (swap === null) break;\n this.values[idx] = this.values[swap];\n this.values[swap] = element;\n idx = swap; \n } \n }","function heapSort(inputArr){\n var heap = new Heap;\n for(i=0; i<inputArr.length; i++){\n heap.add(inputArr[i])\n }\n var outputArr = []\n for(i=0; i<inputArr.length; i++){\n outputArr.push(heap.remove())\n }\n console.log(outputArr)\n return outputArr\n}","function heapify(arr) {\n if (arr.length < 1) return arr\n for (let i = arr.length - 1; i >= 0; i--) {\n minHeapify(arr, i)\n }\n return arr\n}","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","function maxHeapify(idx, hSize) {\n let largest;\n const left = (2 * idx) + 1;\n const right = (2 * idx) + 2;\n if (left < hSize && array[left] > array[idx]) {\n largest = left;\n } else {\n largest = idx;\n }\n if (right < hSize && array[right] > array[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n const temp = array[idx];\n array[idx] = array[largest];\n array[largest] = temp;\n maxHeapify(largest, hSize);\n }\n}","extractMax() {\n const max = this.values[0]\n const end = this.values.pop()\n\n if (this.values.length > 0) {\n this.values[0] = end\n this._sinkDown()\n }\n\n return max\n }","async function MaxHeapify( i, heapSize)\n{\n\n let hasLeft = (2 * i + 1 < heapSize) ? true : false;\n let hasRight = (2 * i + 2 < heapSize) ? true : false;\n let l, r;\n let largest = i;\n if (hasLeft)\n l = arr[2 * i + 1].offsetHeight;\n if (hasRight)\n r = arr[2 * i + 2].offsetHeight;\n if (hasLeft && arr[i].offsetHeight < l)\n {\n largest = 2 * i + 1;\n }\n if (hasRight && arr[largest].offsetHeight < r)\n {\n largest = 2 * i + 2;\n }\n if (largest != i)\n {\n arr[i].style.backgroundColor='white';\n arr[largest].style.backgroundColor='green';\n await timer(delay);\n await swap(i, largest);\n arr[i].style.backgroundColor='red';\n arr[largest].style.backgroundColor='red';\n await MaxHeapify(largest, heapSize);\n }\n}","remove(element,comparator=this.compare){\r\n let totalOccurenceOfElement=this.find(element,comparator).length;\r\n for(let i=0;i<totalOccurenceOfElement;i++){\r\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\r\n let heapSize=this.heapContainer.length;\r\n // if the element is at last index simply remove it as we\r\n // don't need to haepify\r\n if(removeIndex===heapSize-1){\r\n this.heapContainer.pop();\r\n }\r\n else{\r\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \r\n this.heapContainer.pop();\r\n let parentElement=this.getParent(removeIndex);\r\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\r\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\r\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\r\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \r\n // down side\r\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\r\n this.heapifyDown(removeIndex);\r\n }\r\n else{\r\n this.heapifyUp(removeIndex);\r\n }\r\n }\r\n \r\n }\r\n return this;\r\n }","pop(){\r\n if (this.top === -1){\r\n return undefined;\r\n }else{\r\n delete this.storage[this.top];\r\n this.top -= 1;\r\n }\r\n }","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","heapify() {\n\t\t// last index is one less than the size\n\t\tlet index = this.size() - 1;\n\n\t\t/*\n Property of ith element in binary heap - \n left child is at = (2*i)th position\n right child is at = (2*i+1)th position\n parent is at = floor(i/2)th position\n */\n\n\t\t// converting entire array into heap from behind to front\n\t\t// just like heapify function to create it MAX HEAP\n\t\twhile (index > 0) {\n\t\t\t// pull out element from the array and find parent element\n\t\t\tlet element = this.heap[index],\n\t\t\t\tparentIndex = Math.floor((index - 1) / 2),\n\t\t\t\tparent = this.heap[parentIndex];\n\n\t\t\t// if parent is greater or equal, its already a heap hence break\n\t\t\tif (parent[0] >= element[0]) break;\n\t\t\t// else swap the values as we're creating a max heap\n\t\t\tthis.heap[index] = parent;\n\t\t\tthis.heap[parentIndex] = element;\n\t\t\tindex = parentIndex;\n\t\t}\n\t}","heapify(/*index*/ i) {\n let l = this.left(i);\n let r = this.right(i);\n let biggest = i;\n if (l < this.heap_size && this.harr[i].element.compareByMulKeys(this.harr[l].element, this.compareValues) == -1)\n biggest = l;\n if (r < this.heap_size && this.harr[biggest].element.compareByMulKeys(this.harr[r].element, this.compareValues) == -1)\n biggest = r;\n if (biggest != i) {\n this.swap(this.harr, i, biggest);\n this.heapify(biggest);\n }\n }","dequeue() {\n const [next] = this.values;\n this.values[0] = this.values.pop();\n let childLeft, childRight;\n let curr = 0;\n while (true) {\n let childLeftIdx = 2 * curr + 1;\n let childRightIdx = childLeft + 1;\n let swap = null;\n if (childLeftIdx < this.values.length) {\n childLeft = this.values[childLeftIdx];\n if (childLeft.priority > this.values[curr].priority) {\n swap = childLeft;\n }\n\n if (childRightIdx < this.values.length) {\n childRight = this.values[childRight];\n if (\n (swap === null &&\n childRight.priority < this.values[curr].priority) ||\n (swap !== null && childRight < childLeft.priority)\n ) {\n swap = childRightIdx;\n }\n }\n\n if (swap === null) break;\n const temp = this.values[curr];\n this.values[curr] = this.values[swap];\n this.values[swap] = temp;\n curr = swap;\n }\n }\n }","function maxHeapify(arr , n , i)\n\t{\n\t\n\t\t// Find largest of node and its children\n\t\tif (i >= n) {\n\t\t\treturn;\n\t\t}\n\t\tvar l = i * 2 + 1;\n\t\tvar r = i * 2 + 2;\n\t\tvar max;\n\t\tif (l < n && arr[l] > arr[i]) {\n\t\t\tmax = l;\n\t\t} else\n\t\t\tmax = i;\n\t\tif (r < n && arr[r] > arr[max]) {\n\t\t\tmax = r;\n\t\t}\n\n\t\t// Put maximum value at root and\n\t\t// recur for the child with the\n\t\t// maximum value\n\t\tif (max != i) {\n\t\t\tvar temp = arr[max];\n\t\t\tarr[max] = arr[i];\n\t\t\tarr[i] = temp;\n\t\t\tmaxHeapify(arr, n, max);\n\t\t}\n\t}","function minheap_extract(heap) {\n swap(heap,0,heap.length - 1);\n var to_pop = heap.pop();\n var parent = 0;\n var child = parent * 2 + 1;\n while(child < heap.length){\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\n child = child + 1;\n }\n if(heap[child] < heap[parent]){\n swap(heap,child,parent);\n parent = child;\n child = parent * 2 + 1; \n }\n else{\n break;\n }\n }\n return to_pop;\n // STENCIL: implement your min binary heap extract operation\n}","function heapify(currentIndex, arr){\n\n if (isHavingChildrenLeft(currentIndex, arr)) {\n let parent = arr[currentIndex]\n\n if (isHavingChildrenRight(currentIndex, arr)){\n let maxChildren = Math.max(arr[currentIndex * 2 + 1], arr[currentIndex * 2 + 2])\n if (parent < maxChildren){\n let maxChilrenIndex = maxChildren == arr[currentIndex * 2 + 1] ? currentIndex * 2 + 1 : currentIndex * 2 + 2 \n swapArrayElement(currentIndex, maxChilrenIndex, arr)\n heapify(maxChilrenIndex, arr)\n }\n }else {\n if (parent < arr[currentIndex * 2 + 1]){\n swapArrayElement(currentIndex, currentIndex * 2 + 1, arr)\n heapify(currentIndex * 2 + 1, arr)\n }\n }\n }else {\n console.log(\"skipping index %d\", currentIndex)\n }\n}","function extractMin(heap) {\n if (heap.length < 1) return null\n // swap first and last element\n let temp = heap[0]\n heap[0] = heap[heap.length-1]\n heap[heap.length-1] = temp\n\n const result = heap.pop()\n minHeapify(heap, 0)\n return result\n}","function heapSort(arr){\n var sorted = [];\n var heap1 = new MaxHeap();\n \n for(let i=0; i<arr.length; i++){\n heap1.insert(arr[i]);\n }\n \n for(let i=0; i<arr.length; i++){\n sorted.push(heap1.delete());\n }\n return sorted;\n}","maxHeapify(arr, n, i) {\r\n\t\tlet largest = i;\r\n\t\tlet leftIndex = 2 * i + 1;\r\n\t\tlet rightIndex = 2 * i + 2;\r\n\r\n\t\tif (leftIndex < n && arr[leftIndex] > arr[largest]) {\r\n\t\t\tlargest = leftIndex;\r\n\t\t}\r\n\t\tif (rightIndex < n && arr[rightIndex] > arr[largest]) {\r\n\t\t\tlargest = rightIndex;\r\n\t\t}\r\n\t\tif (largest != i) {\r\n\t\t\tlet temp = arr[i];\r\n\t\t\tarr[i] = arr[largest];\r\n\t\t\tarr[largest] = temp;\r\n\t\t\tthis.maxHeapify(arr, n, largest);\r\n\t\t}\r\n\t}","function thirdLargestNode(tree) {\n tree.remove(tree._findMax().key);\n tree.remove(tree._findMax().key);\n return tree._findMax().key;\n}","function maxHeap(array, n, i) {\n let largest = i;\n let left = 2 * i + 1;\n let right = 2 * i + 2;\n if (left < n && array[left] > array[largest]) {\n largest = left;\n }\n\n // If right child is larger than largest so far\n if (right < n && array[right] > array[largest]) {\n largest = right;\n }\n\n // If largest is not root\n if (largest != i) {\n let swap = array[i];\n array[i] = array[largest];\n array[largest] = swap;\n\n // Recursively heapify the affected sub-tree\n maxHeap(array, n, largest);\n }\n}","function buildHeap(arr, type) {\n // gets the last index\n var lastIndex = arr.length - 1;\n // While the last index is greater than 0\n while (lastIndex > 0) {\n // get the parent index\n var parentIndex = Math.floor((lastIndex - 1) / 2);\n // get the items inside the parent\n // and the last index \n var lastItem = arr[lastIndex];\n var parentItem = arr[parentIndex];\n\n if (type === 'maxHeap') {\n // checks to see if the lastItem is greater\n // than the parentItem if so then do a swap\n if (lastItem > parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n else if (type === 'minHeap') {\n // checks to see if the lastItem is less\n // than the parentItem if so then do a swap\n if (lastItem < parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n\n }\n }","insert_num(num) {\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\n this.maxHeap.insert(num);\n } else {\n this.minHeap.insert(num);\n }\n\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\n this.minHeap.insert(this.maxHeap.extractMax());\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\n this.maxHeap.insert(this.minHeap.remove());\n }\n }","extractMax() {\n let extracted = this.values[0]\n let end = this.values.pop()\n if (this.values.length > 0) {\n this.values[0] = end\n this.sinkDown()\n }\n return extracted\n }","maxValue() {\n let currNode = this.top;\n let maxValue = this.top.value;\n \n while (currNode.next) {\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\n currNode = currNode.next;\n }\n \n return maxValue;\n }","extractMin() {\n if (this.size <= 0) return;\n if (this.size === 1) {\n this.size--;\n return this.data[0];\n }\n let root = this.data[0];\n this.data[0] = this.data[this.size - 1];\n this.size--;\n this.MinHeapify(0);\n return root;\n }","function heapDeleteRoot()\n{\n\tif (!this.isEmpty()) { \n\t\t// save root key and item pair\n\t\tvar root = [ this.h[1], this.h_item[1] ]; \n }\n\telse { //if heap is empty\n\t\treturn \"The heap is empty\";\n\t}\n\t// ... complete\n\tthis.h_item[1] = this.h_item[this.size];\n\n this.h[1] = this.h[this.size];\n this.heapify(1);\n\t\n //decrease the heap size by 1 since we delete from it\n this.size = this.size-1;\n\n\treturn root;\n}","function largestNum(arr, k) {\n\tif (!arr && !arr.length && !k) return false;\n\n\tlet shunk = arr.slice(0, k); //first shunk\n\tlet heap = [];\n\tshunk.forEach(n => insertHeap(heap, n));\n\n\tfor (let i = k; i < arr.length; i++) {\n\t\tif (arr[i] >= heap[0]) {\n\t\t\tupdateHeap(heap, arr[i]);\n\t\t}\n\t}\n\n\treturn heap;\n}","function heapify (heap) {\n // Get the parent idx of the last node\n var start = iparent(heap.arr.length - 1)\n while (start >= 0) {\n siftDown(start, heap)\n start -= 1\n }\n return heap\n}","function heapify(arr,comp){\r\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\r\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\r\n // Restore the heap property for i\r\n siftDown(arr, comp, i);\r\n }\r\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\r\n}","function max(arr){\n \n if(arr.length==2) //BASE CASE\n return arr[0]>arr[1]?arr[0]:arr[1]\n else //\n {\n arr[1]=arr[0]>arr[1]?arr[0]:arr[1]\n return max(arr.splice(1,arr.length-1))\n }\n \n}","pop() {\n //delete the current top values within the stack\n delete this.items[this.top];\n //deduct 1 from the top to show the new top index\n this.top = this.top -1;\n }","function heapify(A, idx, max) {\n var largest = idx,\n left = 2 * idx + 1,\n right = 2 * idx + 2;\n\n if (left < max && A[left] > A[idx]) {\n largest = left;\n }\n if (right < max && A[right] > A[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n swap(A, idx, largest);\n heapify(A, largest, max);\n }\n}","remove(item) {\n // Find number of items to remove.\n const numberOfItemsToRemove = this.find(item).length;\n\n for (let iteration = 0; iteration < numberOfItemsToRemove; iteration += 1) {\n // We need to find item index to remove each time after removal since\n // indices are being changed after each heapify process.\n const indexToRemove = this.find(item).pop();\n\n // If we need to remove last child in the heap then just remove it.\n // There is no need to heapify the heap afterwards.\n if (indexToRemove === this.heapContainer.length - 1) {\n this.heapContainer.pop();\n } else {\n // Move last element in heap to the vacant (removed) position.\n this.heapContainer[indexToRemove] = this.heapContainer.pop();\n\n // Get parent.\n const parentItem = this.parent(indexToRemove);\n\n // If there is no parent or parent is in correct order with the node\n // we're going to delete then heapify down. Otherwise heapify up.\n if (\n this.hasLeftChild(indexToRemove) &&\n (!parentItem || parentItem <= this.heapContainer[indexToRemove])\n ) {\n this.heapifyDown(indexToRemove);\n } else {\n this.heapifyUp(indexToRemove);\n }\n }\n }\n\n return this;\n }","function heapify(array, size, i) {\n let max = i // initialize max as root\n let left = 2 * i + 1\n let right = 2 * i + 2\n \n // if left child is larger than root\n if (left < size && array[left] > array[max])\n max = left\n \n // if right child is larger than max\n if (right < size && array[right] > array[max])\n max = right\n \n // if max is not root\n if (max != i) {\n // swap\n let temp = array[i]\n array[i] = array[max]\n array[max] = temp\n \n // recursively heapify the affected sub-tree\n heapify(array, size, max)\n }\n }","function heapSort(arr,comp){\r\n // Turn arr into a heap\r\n heapify(arr,comp);\r\n for(let i = arr.length-1; i > 0; i--){\r\n // The 0th element of a heap is the largest so move it to the top.\r\n [arr[0],arr[i]] = [arr[i],arr[0]];\r\n // The 0th element is no longer the largest; restore the heap property\r\n siftDown(arr,comp,0);\r\n }\r\n}","async function heapify(arr,length,i){\n chosen.style.color=\"black\";\n chosen.innerHTML=`Turning the remaining array into max heap...`;\n let largest=i;\n let left=i*2+1;\n let right=left+1;\n let rightBar=document.querySelector(`.bar${right}`);\n let leftBar=document.querySelector(`.bar${left}`);\n let iBar=document.querySelector(`.bar${i}`);\n await sleep(speed);\n iBar.style.backgroundColor=\"#3500d3\";//selected\n if (left<length)\n leftBar.style.backgroundColor=\"#f64c72\";//checking\n if (right<length)\n rightBar.style.backgroundColor=\"#f64c72\";//checking\n if (left<length && arr[left]>arr[largest])\n largest=left;\n if (right<length && arr[right]>arr[largest])\n largest=right;\n if(largest!=i){\n let largestBar=document.querySelector(`.bar${largest}`);\n iBar=document.querySelector(`.bar${i}`);\n [arr[largest],arr[i]]=[arr[i],arr[largest]];\n [largestBar.style.height,iBar.style.height]=[iBar.style.height,largestBar.style.height];\n [largestBar.innerHTML,iBar.innerHTML]=[iBar.innerHTML,largestBar.innerHTML];\n await sleep(speed);\n iBar.style.backgroundColor=\"#17a2b8\";//original\n leftBar.style.backgroundColor=\"#17a2b8\";//original\n rightBar.style.backgroundColor=\"#17a2b8\";//original\n\n await heapify(arr,length,largest);\n }\n iBar.style.backgroundColor=\"#17a2b8\";//original\n if (left<length)\n leftBar.style.backgroundColor=\"#17a2b8\";//original\n if (right<length)\n rightBar.style.backgroundColor=\"#17a2b8\";//original\n}","function pqdownheap(tree, k) {\n\t\tvar v = heap[k],\n\t\t\tj = k << 1; // left son of k\n\n\t\twhile (j <= heap_len) {\n\t\t\t// Set j to the smallest of the two sons:\n\t\t\tif (j < heap_len && SMALLER(tree, heap[j + 1], heap[j])) {\n\t\t\t\tj++;\n\t\t\t}\n\n\t\t\t// Exit if v is smaller than both sons\n\t\t\tif (SMALLER(tree, v, heap[j])) {\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\t// Exchange v with the smallest son\n\t\t\theap[k] = heap[j];\n\t\t\tk = j;\n\n\t\t\t// And continue down the tree, setting j to the left son of k\n\t\t\tj <<= 1;\n\t\t}\n\t\theap[k] = v;\n\t}","dequeue() {\n // set a variable equal to the object keys array\n var keys = Object.keys(this.storage);\n // set a variable equal to the lowest key value\n var lowest = this.storage[keys[0]];\n // delete the lowest key value\n delete this.storage[keys[0]];\n // return the lowest key value variable\n return lowest;\n }","function fix_extrema(slot) {\n if (slot.maximum !== undefined) {\n slot.max = slot.maximum;\n delete slot.maximum;\n }\n if (slot.minimum !== undefined) {\n slot.min = slot.minimum;\n delete slot.minimum;\n }\n }","delete(value) {\n if (this.head.back === this.head && this.head.value === value) {\n this.head = null;\n } else {\n let temp = this.head;\n\n while (temp.value !== value) {\n if (temp.forward.value <= temp.value) {\n return false;\n }\n temp = temp.forward;\n }\n\n temp.back.forward = temp.forward;\n temp.forward.back = temp.back;\n\n if (temp === this.head) {\n this.head = temp.forward;\n }\n\n delete this.temp;\n }\n this.size--;\n return true;\n }","remove() {\n if (!this.value) {\n this.value = this.min || 0;\n }\n const step = this.ctrl_key ? 100 : this.shift_key ? 10 : this.step || 1;\n this.value -= step;\n if (this.value < this.min) {\n this.value = this.min || 0;\n }\n this.setValue(this.value);\n }"],"string":"[\n \"removeMax() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"deleteMax() {\\n // recall that we have an empty position at the very front of the array, \\n // so an array length of 2 means there is only 1 item in the heap\\n\\n if (this.array.length === 1) return null;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if no nodes in tree, exit\\n\\n if (this.array.length === 2) return this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\\n\\n let max = this.array[1];\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// save reference to root value (max)\\n\\n this.array[1] = this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // remove last val in array (farthest right node in tree), and update root value with it\\n\\n this.siftDown(1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\\n\\n return max;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// return max value\\n }\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"extractMax() {\\r\\n\\t\\tconst max = this.heap[0];\\r\\n\\t\\tthis.remove(max);\\r\\n\\t\\treturn max;\\r\\n\\t}\",\n \"extractMax() {\\n\\t\\tconst max = this.heap[0];\\n\\t\\tconst tmp = this.heap.pop();\\n\\t\\tif (!this.empty()) {\\n\\t\\t\\tthis.heap[0] = tmp;\\n\\t\\t\\tthis.sinkDown(0);\\n\\t\\t}\\n\\t\\treturn max;\\n\\t}\",\n \"remove() {\\n // Swap root value with last element in the heap\\n // Pop the last element from heap array\\n // Perform siftDown to correct position of swapped value\\n // Return popped value\\n this.swap(0, this.heap.length - 1, this.heap);\\n const valueToRemove = this.heap.pop();\\n this.siftDown(0, this.heap.length - 1, this.heap);\\n \\n return valueToRemove;\\n }\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function nMax(){\\n var arr=[-3,3,5,7];\\n var max= arr[0];\\n for(var i = 0; i< arr.length; i++){\\n if(arr[i]>max){\\n max=arr[i];\\n arr.splice(max);\\n }\\n }\\n for(var i=0; i<arr.length;i++){\\n if(arr[i]>max){\\n max=arr[i];\\n \\n }\\n }\\n console.log(max);\\n return max;\\n }\",\n \"function maxHeap(val, parentVal) {\\n return val > parentVal;\\n}\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"delMin() {\\n /*\\n * Save reference to the min key.\\n * Swap the min key with the last key in the heap.\\n * Decrement n so that the key does not swim back up the heap.\\n * Sink down the heap to fix any violations that have arisen.\\n * Delete the min key to prevent loitering, and return its reference.\\n */\\n let min = this.heap[1];\\n\\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\\n this.n--;\\n this.sink(1);\\n this.heap[this.n+1] = null;\\n\\n return min;\\n }\",\n \"function deleteMax(h) { \\n if (isRed(h.left))\\n h = rotateRight(h);\\n\\n if (h.right == null || h.right == undefined)\\n return null;\\n\\n if (!isRed(h.right) && !isRed(h.right.left))\\n h = moveRedRight(h);\\n\\n h.right = deleteMax(h.right);\\n\\n return balance(h);\\n }\",\n \"heapDown(index) {\\n const [leftIndex, rightIndex] = this.children(index);\\n \\n if (!leftIndex && !rightIndex) return;\\n\\n let min;\\n rightIndex ? min = rightIndex : min = leftIndex;\\n if ((leftIndex && rightIndex) &&\\n this.store[leftIndex].key < this.store[rightIndex].key) {\\n min = leftIndex;\\n }\\n\\n if (this.store[index].key > this.store[min].key) {\\n this.swap(index, min);\\n this.heapDown(min);\\n }\\n }\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"extractMax(){\\n const max = this.values.shift();\\n let current = this.values.pop();\\n if(this.values.length > 0){\\n this.values.unshift(current);\\n this.sinkDown();\\n }\\n return max;\\n }\",\n \"findMax() {\\r\\n\\t\\treturn this.heap[0];\\r\\n\\t}\",\n \"extractMax(){\\r\\n if(this.values.length === 1) return this.values.pop();\\r\\n const oldRoot = this.values[0];\\r\\n this.values[0] = this.values[this.values.length-1];\\r\\n this.values.pop();\\r\\n let idx = 0;\\r\\n let child1 = (2*idx) + 1;\\r\\n let child2 = (2*idx) + 2;\\r\\n\\r\\n while(this.values[idx] < this.values[child1] || \\r\\n this.values[idx] < this.values[child2]){\\r\\n child1 = (2*idx) + 1;\\r\\n child2 = (2*idx) + 2;\\r\\n if(this.values[child1] >= this.values[child2]){\\r\\n let temp = this.values[child1];\\r\\n this.values[child1] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child1;\\r\\n } else {\\r\\n let temp = this.values[child2];\\r\\n this.values[child2] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child2;\\r\\n }\\r\\n }\\r\\n return oldRoot;\\r\\n }\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.minHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"extractMax() {\\n if (this.values.length===1) {\\n return this.values.pop()\\n }\\n let max = this.values[0]\\n let tail = this.values.pop()\\n this.values[0] = tail\\n let index = 0\\n let element = this.values[index]\\n // repeat until neither child is greater than the element\\n while(true) {\\n let swapped = null\\n let leftIndex = 2 * index + 1\\n let rightIndex = 2 * index + 2\\n if (leftIndex < this.values.length) {\\n if(this.values[leftIndex] > element) {\\n swapped = leftIndex\\n }\\n }\\n if (rightIndex < this.values.length) {\\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\\n swapped = rightIndex\\n }\\n }\\n if (swapped===null) break\\n this.values[index] = this.values[swapped]\\n this.values[swapped] = element\\n index = swapped\\n }\\n return max\\n }\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\",\n \"extractMax() {\\n let values = this.values;\\n if (values.length === 0) return;\\n let max = values[0];\\n // For time complexity reasons, I swap first then remove the old root node\\n values[0] = values[values.length - 1];\\n values.pop();\\n console.log(values);\\n // instatiate child nodes\\n let child1, child2, indexToSwap;\\n let currentIndex = 0;\\n while (true) {\\n child1 = currentIndex * 2 + 1;\\n child2 = currentIndex * 2 + 2;\\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\\n break;\\n }\\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\\n if (!values[indexToSwap]) break;\\n let oldNode = values[currentIndex];\\n values[currentIndex] = values[indexToSwap];\\n values[indexToSwap] = oldNode;\\n currentIndex = indexToSwap;\\n }\\n this.values = values;\\n return max;\\n }\",\n \"buildMaxHeap() {}\",\n \"maxToBack(){\\n var runner = this.head;\\n var max = this.head\\n var prevnode = this.head\\n var maxprev = null\\n while (runner != null) {\\n if (runner.val > max.val) {\\n max = runner;\\n maxprev = prevnode\\n }\\n prevnode = runner\\n runner = runner.next\\n }\\n prevnode.next = max\\n maxprev.next = max.next\\n max.next = null;\\n }\",\n \"function MaxPriorityQueue(array){\\r\\n MaxHeap.call(this, array)\\r\\n}\",\n \"maxHeap(index) {\\n var left = this.left(index);\\n var right = this.right(index);\\n var largest = index;\\n if (left < this.heapSize && this.array[left] > this.array[index]) {\\n largest = left;\\n }\\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\\n largest = right;\\n }\\n if (largest != index) {\\n this.swap(this.array, index, largest);\\n this.maxHeap(largest);\\n }\\n }\",\n \"function buildMaxHeap() {\\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\\n maxHeapify(i, array.length);\\n }\\n}\",\n \"Dequeue() {\\r\\n if (this.heap.length == 0) return;\\r\\n const highestPriority = this.heap[0];\\r\\n const leastPriority = this.heap[this.heap.length - 1];\\r\\n //swap first and last priority\\r\\n this.heap[this.heap.length - 1] = highestPriority;\\r\\n this.heap[0] = leastPriority;\\r\\n this.heap.pop();\\r\\n let nodeIndex = 0; //sink down\\r\\n while (true) {\\r\\n const left = this.heap[2 * nodeIndex + 1];\\r\\n const right = this.heap[2 * nodeIndex + 2];\\r\\n const leastElement = this.heap[nodeIndex];\\r\\n if (\\r\\n right &&\\r\\n right.priority < left.priority &&\\r\\n right.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 2] = leastElement;\\r\\n this.heap[nodeIndex] = right;\\r\\n nodeIndex = 2 * nodeIndex + 2;\\r\\n } else if (\\r\\n left &&\\r\\n left.priority < right.priority &&\\r\\n left.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 1] = leastElement;\\r\\n this.heap[nodeIndex] = left;\\r\\n nodeIndex = 2 * nodeIndex + 1;\\r\\n } else {\\r\\n break;\\r\\n }\\r\\n }\\r\\n\\r\\n return highestPriority;\\r\\n }\",\n \"function MaxHeap(array){\\r\\n Heap.call(this, array);\\r\\n \\r\\n // Build-max-heap method: produces a max-heap from an unordered input array\\r\\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\\r\\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\\r\\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\\r\\n this.floatDownElementOfIndex(i)\\r\\n }\\r\\n}\",\n \"extractMax() {\\n const max = this.values[0];\\n const end = this.values.pop();\\n this.values[0] = end;\\n this.sinkDown();\\n return max;\\n }\",\n \"remove() {\\n if (this.isEmpty()) return;\\n this.swap(0, this.store.length - 1);\\n const { value } = this.store.pop();\\n if (!this.isEmpty()) this.heapDown(0);\\n return value;\\n }\",\n \"static maxHeapify(a, i) {\\n let left = Heap.left(i);\\n let right = Heap.right(i);\\n\\n // Find largest node between current, left and right\\n let largest;\\n if (left < a.heap_size && a[left] > a[i])\\n largest = left;\\n else\\n largest = i;\\n\\n if (right < a.heap_size && a[right] > a[largest])\\n largest = right;\\n\\n // Move current element to 'largest' position, and\\n // continue until the element is positioned correctly\\n if (largest != i) {\\n let temp = a[i];\\n a[i] = a[largest];\\n a[largest] = temp;\\n\\n Heap.maxHeapify(a, largest);\\n }\\n }\",\n \"function heapSortV2(array) {\\n\\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\\n heapify(array, array.length, i); // array length not really used for this part\\n }\\n\\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \\\"delete\\\" max val until heap region is \\\"empty\\\"\\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\\n\\n console.log(array);\\n\\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\\n }\\n\\n return array;\\n}\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"function heapSort(array){\\n // 1: Construction\\n let heap = new MaxHeap()\\n array.forEach(ele => {\\n heap.insert(ele)\\n });\\n\\n// 2: sortdown \\n let sorted = []\\n while (heap.array.length > 1){\\n sorted.push(heap.deleteMax())\\n }\\n return sorted\\n}\",\n \"function MinHeap(){\\n\\tthis.maxIndex = -1;\\n\\tthis.arr = {};\\n}\",\n \"dequeue (){\\n // let removedRoot = this.values[0];\\n //replace with last added value\\n //TEACHERS SOLUTION\\n const min = this.values[0];\\n const end = this.values.pop();\\n //EDGE CASE IF NOTHING LEFT IN\\n if(this.values.length > 0){\\n //LINE 97 CAUSES A FOREVER LOOP WITH THE LAST ELEMENT IF WE DON'T ADD THE CONDITIONAL, BECAUSE WE REASSIGN THE ROOT TO BE END (WHICH WAS THE ORIGINAL ROOT IF THERE'S ONLY ONE ELEMENT)\\n this.values[0] = end;\\n //START TRICKLE DOWN\\n this.sinkDown();\\n }\\n \\n \\n return min;\\n }\",\n \"remove(key) {\\n this.storage.set(getIndexBelowMax(key), undefined);\\n }\",\n \"extractMax() {\\n // swap the first value in the values property with the last value\\n // pop from the values property, so you can return the value at the end.\\n // 'sink down' to the correct spot\\n const max = this.values[0];\\n const end = this.values.pop();\\n if (this.values.length > 0) {\\n this.values[0] = end;\\n // move it to the correct position\\n this.bubbleDown();\\n }\\n return max;\\n }\",\n \"function maxHeapify(arr, length, parent) {\\n var largest = parent;\\n var leftChild = 2 * parent + 1;\\n var rightChild = 2 * parent + 2;\\n\\n if (leftChild < length && arr[leftChild] > arr[largest]) {\\n largest = leftChild;\\n }\\n\\n if (rightChild < length && arr[rightChild] > arr[largest]) {\\n largest = rightChild;\\n }\\n\\n if (largest != parent) {\\n var temp = arr[largest];\\n arr[largest] = arr[parent];\\n arr[parent] = temp;\\n\\n maxHeapify(arr, length, largest);\\n }\\n}\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"function maxHeapBuild(arr) {\\n if (arr.length <= 1) return;\\n createHeap(arr, arr.length);\\n return arr;\\n}\",\n \"maxToBack(){\\n // your code here\\n var runner = this.head\\n var max = runner\\n while (runner.next != null){\\n if (runner.next.value > max.value){\\n max = runner.next\\n }\\n runner = runner.next\\n }\\n var temp = runner.value\\n runner.value = max.value\\n max.value = temp\\n return this\\n }\",\n \"function heapifyStandart(currentIndex, heapSize ,arr){\\n\\n var largestElement = currentIndex\\n var leftIndex = 2 * currentIndex + 1\\n var rightIndex = 2 * currentIndex + 2\\n\\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\\n largestElement = leftIndex\\n }\\n \\n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\\n largestElement = rightIndex\\n }\\n\\n if (largestElement != currentIndex){\\n swapArrayElement(currentIndex, largestElement, arr)\\n heapifyStandart(largestElement, heapSize, arr)\\n }\\n}\",\n \"static buildMaxHeap(a) {\\n a.heap_size = a.length;\\n\\n // Max-heapify the first n/2 elements as\\n // they are tree nodes, and the remaining are\\n // usually tree leaves\\n let mid = parseInt(a.length / 2);\\n for (let i = mid; i >= 0; i -= 1) {\\n Heap.maxHeapify(a, i);\\n }\\n }\",\n \"function minheap_extract(heap) \\n{\\n var PrintE;\\n PrintE = heap[0];\\n heap[0] = heap[heap.length - 1];\\n\\n var a,large;\\n var temp = heap.pop();\\n for (a=0;a<heap.length;a=large)\\n {\\n if (2*a+2>heap.length)\\n {break;}\\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\\n {\\n if (heap[a]>heap[2*a+2])\\n {\\n temp = heap [a];\\n heap[a] = heap[2*a+2];\\n heap[2*a+2] = temp; \\n large = 2*a+2; \\n }\\n else\\n {break;}\\n }\\n else\\n {\\n if (heap[a]>heap[2*a+1])\\n {\\n temp = heap [2*a+1];\\n heap[2*a+1] = heap[a];\\n heap[a] = temp; \\n large = 2*a+1;\\n }\\n else\\n {break;}\\n }\\n }\\n return PrintE;\\n}\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"function heap_root(input, i) { \\n var left = 2 * i + 1; \\n var right = 2 * i + 2; \\n var max = i; \\n \\n if (left < array_length && input[left] > input[max]) { \\n max = left; \\n } \\n \\n if (right < array_length && input[right] > input[max]) { \\n max = right; \\n } \\n \\n if (max != i) { \\n swap(input, i, max); \\n heap_root(input, max); \\n } \\n}\",\n \"function heapDown(i) {\\n\\t var w = heapWeight(i)\\n\\t while(true) {\\n\\t var tw = w\\n\\t var left = 2*i + 1\\n\\t var right = 2*(i + 1)\\n\\t var next = i\\n\\t if(left < heapCount) {\\n\\t var lw = heapWeight(left)\\n\\t if(lw < tw) {\\n\\t next = left\\n\\t tw = lw\\n\\t }\\n\\t }\\n\\t if(right < heapCount) {\\n\\t var rw = heapWeight(right)\\n\\t if(rw < tw) {\\n\\t next = right\\n\\t }\\n\\t }\\n\\t if(next === i) {\\n\\t return i\\n\\t }\\n\\t heapSwap(i, next)\\n\\t i = next \\n\\t }\\n\\t }\",\n \"function heapDown(i) {\\n\\t var w = heapWeight(i)\\n\\t while(true) {\\n\\t var tw = w\\n\\t var left = 2*i + 1\\n\\t var right = 2*(i + 1)\\n\\t var next = i\\n\\t if(left < heapCount) {\\n\\t var lw = heapWeight(left)\\n\\t if(lw < tw) {\\n\\t next = left\\n\\t tw = lw\\n\\t }\\n\\t }\\n\\t if(right < heapCount) {\\n\\t var rw = heapWeight(right)\\n\\t if(rw < tw) {\\n\\t next = right\\n\\t }\\n\\t }\\n\\t if(next === i) {\\n\\t return i\\n\\t }\\n\\t heapSwap(i, next)\\n\\t i = next \\n\\t }\\n\\t }\",\n \"function heapDown(i) {\\n var w = heapWeight(i)\\n while(true) {\\n var tw = w\\n var left = 2*i + 1\\n var right = 2*(i + 1)\\n var next = i\\n if(left < heapCount) {\\n var lw = heapWeight(left)\\n if(lw < tw) {\\n next = left\\n tw = lw\\n }\\n }\\n if(right < heapCount) {\\n var rw = heapWeight(right)\\n if(rw < tw) {\\n next = right\\n }\\n }\\n if(next === i) {\\n return i\\n }\\n heapSwap(i, next)\\n i = next \\n }\\n }\",\n \"heapifyDown(){\\n let idx = 0,\\n element = this.values[idx],\\n swap,\\n leftChildIdx,\\n rightChildIdx,\\n leftChild,\\n rightChild;\\n while (true){\\n swap = null;\\n leftChildIdx = (2 * idx) + 1;\\n rightChildIdx = (2 * idx) + 2;\\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\\n swap = leftChildIdx\\n }\\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\\n swap = rightChildIdx;\\n }\\n if (swap === null) break;\\n this.values[idx] = this.values[swap];\\n this.values[swap] = element;\\n idx = swap; \\n } \\n }\",\n \"function heapSort(inputArr){\\n var heap = new Heap;\\n for(i=0; i<inputArr.length; i++){\\n heap.add(inputArr[i])\\n }\\n var outputArr = []\\n for(i=0; i<inputArr.length; i++){\\n outputArr.push(heap.remove())\\n }\\n console.log(outputArr)\\n return outputArr\\n}\",\n \"function heapify(arr) {\\n if (arr.length < 1) return arr\\n for (let i = arr.length - 1; i >= 0; i--) {\\n minHeapify(arr, i)\\n }\\n return arr\\n}\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"function maxHeapify(idx, hSize) {\\n let largest;\\n const left = (2 * idx) + 1;\\n const right = (2 * idx) + 2;\\n if (left < hSize && array[left] > array[idx]) {\\n largest = left;\\n } else {\\n largest = idx;\\n }\\n if (right < hSize && array[right] > array[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n const temp = array[idx];\\n array[idx] = array[largest];\\n array[largest] = temp;\\n maxHeapify(largest, hSize);\\n }\\n}\",\n \"extractMax() {\\n const max = this.values[0]\\n const end = this.values.pop()\\n\\n if (this.values.length > 0) {\\n this.values[0] = end\\n this._sinkDown()\\n }\\n\\n return max\\n }\",\n \"async function MaxHeapify( i, heapSize)\\n{\\n\\n let hasLeft = (2 * i + 1 < heapSize) ? true : false;\\n let hasRight = (2 * i + 2 < heapSize) ? true : false;\\n let l, r;\\n let largest = i;\\n if (hasLeft)\\n l = arr[2 * i + 1].offsetHeight;\\n if (hasRight)\\n r = arr[2 * i + 2].offsetHeight;\\n if (hasLeft && arr[i].offsetHeight < l)\\n {\\n largest = 2 * i + 1;\\n }\\n if (hasRight && arr[largest].offsetHeight < r)\\n {\\n largest = 2 * i + 2;\\n }\\n if (largest != i)\\n {\\n arr[i].style.backgroundColor='white';\\n arr[largest].style.backgroundColor='green';\\n await timer(delay);\\n await swap(i, largest);\\n arr[i].style.backgroundColor='red';\\n arr[largest].style.backgroundColor='red';\\n await MaxHeapify(largest, heapSize);\\n }\\n}\",\n \"remove(element,comparator=this.compare){\\r\\n let totalOccurenceOfElement=this.find(element,comparator).length;\\r\\n for(let i=0;i<totalOccurenceOfElement;i++){\\r\\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\\r\\n let heapSize=this.heapContainer.length;\\r\\n // if the element is at last index simply remove it as we\\r\\n // don't need to haepify\\r\\n if(removeIndex===heapSize-1){\\r\\n this.heapContainer.pop();\\r\\n }\\r\\n else{\\r\\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \\r\\n this.heapContainer.pop();\\r\\n let parentElement=this.getParent(removeIndex);\\r\\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\\r\\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\\r\\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\\r\\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \\r\\n // down side\\r\\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\\r\\n this.heapifyDown(removeIndex);\\r\\n }\\r\\n else{\\r\\n this.heapifyUp(removeIndex);\\r\\n }\\r\\n }\\r\\n \\r\\n }\\r\\n return this;\\r\\n }\",\n \"pop(){\\r\\n if (this.top === -1){\\r\\n return undefined;\\r\\n }else{\\r\\n delete this.storage[this.top];\\r\\n this.top -= 1;\\r\\n }\\r\\n }\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"heapify() {\\n\\t\\t// last index is one less than the size\\n\\t\\tlet index = this.size() - 1;\\n\\n\\t\\t/*\\n Property of ith element in binary heap - \\n left child is at = (2*i)th position\\n right child is at = (2*i+1)th position\\n parent is at = floor(i/2)th position\\n */\\n\\n\\t\\t// converting entire array into heap from behind to front\\n\\t\\t// just like heapify function to create it MAX HEAP\\n\\t\\twhile (index > 0) {\\n\\t\\t\\t// pull out element from the array and find parent element\\n\\t\\t\\tlet element = this.heap[index],\\n\\t\\t\\t\\tparentIndex = Math.floor((index - 1) / 2),\\n\\t\\t\\t\\tparent = this.heap[parentIndex];\\n\\n\\t\\t\\t// if parent is greater or equal, its already a heap hence break\\n\\t\\t\\tif (parent[0] >= element[0]) break;\\n\\t\\t\\t// else swap the values as we're creating a max heap\\n\\t\\t\\tthis.heap[index] = parent;\\n\\t\\t\\tthis.heap[parentIndex] = element;\\n\\t\\t\\tindex = parentIndex;\\n\\t\\t}\\n\\t}\",\n \"heapify(/*index*/ i) {\\n let l = this.left(i);\\n let r = this.right(i);\\n let biggest = i;\\n if (l < this.heap_size && this.harr[i].element.compareByMulKeys(this.harr[l].element, this.compareValues) == -1)\\n biggest = l;\\n if (r < this.heap_size && this.harr[biggest].element.compareByMulKeys(this.harr[r].element, this.compareValues) == -1)\\n biggest = r;\\n if (biggest != i) {\\n this.swap(this.harr, i, biggest);\\n this.heapify(biggest);\\n }\\n }\",\n \"dequeue() {\\n const [next] = this.values;\\n this.values[0] = this.values.pop();\\n let childLeft, childRight;\\n let curr = 0;\\n while (true) {\\n let childLeftIdx = 2 * curr + 1;\\n let childRightIdx = childLeft + 1;\\n let swap = null;\\n if (childLeftIdx < this.values.length) {\\n childLeft = this.values[childLeftIdx];\\n if (childLeft.priority > this.values[curr].priority) {\\n swap = childLeft;\\n }\\n\\n if (childRightIdx < this.values.length) {\\n childRight = this.values[childRight];\\n if (\\n (swap === null &&\\n childRight.priority < this.values[curr].priority) ||\\n (swap !== null && childRight < childLeft.priority)\\n ) {\\n swap = childRightIdx;\\n }\\n }\\n\\n if (swap === null) break;\\n const temp = this.values[curr];\\n this.values[curr] = this.values[swap];\\n this.values[swap] = temp;\\n curr = swap;\\n }\\n }\\n }\",\n \"function maxHeapify(arr , n , i)\\n\\t{\\n\\t\\n\\t\\t// Find largest of node and its children\\n\\t\\tif (i >= n) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tvar l = i * 2 + 1;\\n\\t\\tvar r = i * 2 + 2;\\n\\t\\tvar max;\\n\\t\\tif (l < n && arr[l] > arr[i]) {\\n\\t\\t\\tmax = l;\\n\\t\\t} else\\n\\t\\t\\tmax = i;\\n\\t\\tif (r < n && arr[r] > arr[max]) {\\n\\t\\t\\tmax = r;\\n\\t\\t}\\n\\n\\t\\t// Put maximum value at root and\\n\\t\\t// recur for the child with the\\n\\t\\t// maximum value\\n\\t\\tif (max != i) {\\n\\t\\t\\tvar temp = arr[max];\\n\\t\\t\\tarr[max] = arr[i];\\n\\t\\t\\tarr[i] = temp;\\n\\t\\t\\tmaxHeapify(arr, n, max);\\n\\t\\t}\\n\\t}\",\n \"function minheap_extract(heap) {\\n swap(heap,0,heap.length - 1);\\n var to_pop = heap.pop();\\n var parent = 0;\\n var child = parent * 2 + 1;\\n while(child < heap.length){\\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\\n child = child + 1;\\n }\\n if(heap[child] < heap[parent]){\\n swap(heap,child,parent);\\n parent = child;\\n child = parent * 2 + 1; \\n }\\n else{\\n break;\\n }\\n }\\n return to_pop;\\n // STENCIL: implement your min binary heap extract operation\\n}\",\n \"function heapify(currentIndex, arr){\\n\\n if (isHavingChildrenLeft(currentIndex, arr)) {\\n let parent = arr[currentIndex]\\n\\n if (isHavingChildrenRight(currentIndex, arr)){\\n let maxChildren = Math.max(arr[currentIndex * 2 + 1], arr[currentIndex * 2 + 2])\\n if (parent < maxChildren){\\n let maxChilrenIndex = maxChildren == arr[currentIndex * 2 + 1] ? currentIndex * 2 + 1 : currentIndex * 2 + 2 \\n swapArrayElement(currentIndex, maxChilrenIndex, arr)\\n heapify(maxChilrenIndex, arr)\\n }\\n }else {\\n if (parent < arr[currentIndex * 2 + 1]){\\n swapArrayElement(currentIndex, currentIndex * 2 + 1, arr)\\n heapify(currentIndex * 2 + 1, arr)\\n }\\n }\\n }else {\\n console.log(\\\"skipping index %d\\\", currentIndex)\\n }\\n}\",\n \"function extractMin(heap) {\\n if (heap.length < 1) return null\\n // swap first and last element\\n let temp = heap[0]\\n heap[0] = heap[heap.length-1]\\n heap[heap.length-1] = temp\\n\\n const result = heap.pop()\\n minHeapify(heap, 0)\\n return result\\n}\",\n \"function heapSort(arr){\\n var sorted = [];\\n var heap1 = new MaxHeap();\\n \\n for(let i=0; i<arr.length; i++){\\n heap1.insert(arr[i]);\\n }\\n \\n for(let i=0; i<arr.length; i++){\\n sorted.push(heap1.delete());\\n }\\n return sorted;\\n}\",\n \"maxHeapify(arr, n, i) {\\r\\n\\t\\tlet largest = i;\\r\\n\\t\\tlet leftIndex = 2 * i + 1;\\r\\n\\t\\tlet rightIndex = 2 * i + 2;\\r\\n\\r\\n\\t\\tif (leftIndex < n && arr[leftIndex] > arr[largest]) {\\r\\n\\t\\t\\tlargest = leftIndex;\\r\\n\\t\\t}\\r\\n\\t\\tif (rightIndex < n && arr[rightIndex] > arr[largest]) {\\r\\n\\t\\t\\tlargest = rightIndex;\\r\\n\\t\\t}\\r\\n\\t\\tif (largest != i) {\\r\\n\\t\\t\\tlet temp = arr[i];\\r\\n\\t\\t\\tarr[i] = arr[largest];\\r\\n\\t\\t\\tarr[largest] = temp;\\r\\n\\t\\t\\tthis.maxHeapify(arr, n, largest);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function thirdLargestNode(tree) {\\n tree.remove(tree._findMax().key);\\n tree.remove(tree._findMax().key);\\n return tree._findMax().key;\\n}\",\n \"function maxHeap(array, n, i) {\\n let largest = i;\\n let left = 2 * i + 1;\\n let right = 2 * i + 2;\\n if (left < n && array[left] > array[largest]) {\\n largest = left;\\n }\\n\\n // If right child is larger than largest so far\\n if (right < n && array[right] > array[largest]) {\\n largest = right;\\n }\\n\\n // If largest is not root\\n if (largest != i) {\\n let swap = array[i];\\n array[i] = array[largest];\\n array[largest] = swap;\\n\\n // Recursively heapify the affected sub-tree\\n maxHeap(array, n, largest);\\n }\\n}\",\n \"function buildHeap(arr, type) {\\n // gets the last index\\n var lastIndex = arr.length - 1;\\n // While the last index is greater than 0\\n while (lastIndex > 0) {\\n // get the parent index\\n var parentIndex = Math.floor((lastIndex - 1) / 2);\\n // get the items inside the parent\\n // and the last index \\n var lastItem = arr[lastIndex];\\n var parentItem = arr[parentIndex];\\n\\n if (type === 'maxHeap') {\\n // checks to see if the lastItem is greater\\n // than the parentItem if so then do a swap\\n if (lastItem > parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n else if (type === 'minHeap') {\\n // checks to see if the lastItem is less\\n // than the parentItem if so then do a swap\\n if (lastItem < parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n\\n }\\n }\",\n \"insert_num(num) {\\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\\n this.maxHeap.insert(num);\\n } else {\\n this.minHeap.insert(num);\\n }\\n\\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\\n this.minHeap.insert(this.maxHeap.extractMax());\\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\\n this.maxHeap.insert(this.minHeap.remove());\\n }\\n }\",\n \"extractMax() {\\n let extracted = this.values[0]\\n let end = this.values.pop()\\n if (this.values.length > 0) {\\n this.values[0] = end\\n this.sinkDown()\\n }\\n return extracted\\n }\",\n \"maxValue() {\\n let currNode = this.top;\\n let maxValue = this.top.value;\\n \\n while (currNode.next) {\\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\\n currNode = currNode.next;\\n }\\n \\n return maxValue;\\n }\",\n \"extractMin() {\\n if (this.size <= 0) return;\\n if (this.size === 1) {\\n this.size--;\\n return this.data[0];\\n }\\n let root = this.data[0];\\n this.data[0] = this.data[this.size - 1];\\n this.size--;\\n this.MinHeapify(0);\\n return root;\\n }\",\n \"function heapDeleteRoot()\\n{\\n\\tif (!this.isEmpty()) { \\n\\t\\t// save root key and item pair\\n\\t\\tvar root = [ this.h[1], this.h_item[1] ]; \\n }\\n\\telse { //if heap is empty\\n\\t\\treturn \\\"The heap is empty\\\";\\n\\t}\\n\\t// ... complete\\n\\tthis.h_item[1] = this.h_item[this.size];\\n\\n this.h[1] = this.h[this.size];\\n this.heapify(1);\\n\\t\\n //decrease the heap size by 1 since we delete from it\\n this.size = this.size-1;\\n\\n\\treturn root;\\n}\",\n \"function largestNum(arr, k) {\\n\\tif (!arr && !arr.length && !k) return false;\\n\\n\\tlet shunk = arr.slice(0, k); //first shunk\\n\\tlet heap = [];\\n\\tshunk.forEach(n => insertHeap(heap, n));\\n\\n\\tfor (let i = k; i < arr.length; i++) {\\n\\t\\tif (arr[i] >= heap[0]) {\\n\\t\\t\\tupdateHeap(heap, arr[i]);\\n\\t\\t}\\n\\t}\\n\\n\\treturn heap;\\n}\",\n \"function heapify (heap) {\\n // Get the parent idx of the last node\\n var start = iparent(heap.arr.length - 1)\\n while (start >= 0) {\\n siftDown(start, heap)\\n start -= 1\\n }\\n return heap\\n}\",\n \"function heapify(arr,comp){\\r\\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\\r\\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\\r\\n // Restore the heap property for i\\r\\n siftDown(arr, comp, i);\\r\\n }\\r\\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\\r\\n}\",\n \"function max(arr){\\n \\n if(arr.length==2) //BASE CASE\\n return arr[0]>arr[1]?arr[0]:arr[1]\\n else //\\n {\\n arr[1]=arr[0]>arr[1]?arr[0]:arr[1]\\n return max(arr.splice(1,arr.length-1))\\n }\\n \\n}\",\n \"pop() {\\n //delete the current top values within the stack\\n delete this.items[this.top];\\n //deduct 1 from the top to show the new top index\\n this.top = this.top -1;\\n }\",\n \"function heapify(A, idx, max) {\\n var largest = idx,\\n left = 2 * idx + 1,\\n right = 2 * idx + 2;\\n\\n if (left < max && A[left] > A[idx]) {\\n largest = left;\\n }\\n if (right < max && A[right] > A[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n swap(A, idx, largest);\\n heapify(A, largest, max);\\n }\\n}\",\n \"remove(item) {\\n // Find number of items to remove.\\n const numberOfItemsToRemove = this.find(item).length;\\n\\n for (let iteration = 0; iteration < numberOfItemsToRemove; iteration += 1) {\\n // We need to find item index to remove each time after removal since\\n // indices are being changed after each heapify process.\\n const indexToRemove = this.find(item).pop();\\n\\n // If we need to remove last child in the heap then just remove it.\\n // There is no need to heapify the heap afterwards.\\n if (indexToRemove === this.heapContainer.length - 1) {\\n this.heapContainer.pop();\\n } else {\\n // Move last element in heap to the vacant (removed) position.\\n this.heapContainer[indexToRemove] = this.heapContainer.pop();\\n\\n // Get parent.\\n const parentItem = this.parent(indexToRemove);\\n\\n // If there is no parent or parent is in correct order with the node\\n // we're going to delete then heapify down. Otherwise heapify up.\\n if (\\n this.hasLeftChild(indexToRemove) &&\\n (!parentItem || parentItem <= this.heapContainer[indexToRemove])\\n ) {\\n this.heapifyDown(indexToRemove);\\n } else {\\n this.heapifyUp(indexToRemove);\\n }\\n }\\n }\\n\\n return this;\\n }\",\n \"function heapify(array, size, i) {\\n let max = i // initialize max as root\\n let left = 2 * i + 1\\n let right = 2 * i + 2\\n \\n // if left child is larger than root\\n if (left < size && array[left] > array[max])\\n max = left\\n \\n // if right child is larger than max\\n if (right < size && array[right] > array[max])\\n max = right\\n \\n // if max is not root\\n if (max != i) {\\n // swap\\n let temp = array[i]\\n array[i] = array[max]\\n array[max] = temp\\n \\n // recursively heapify the affected sub-tree\\n heapify(array, size, max)\\n }\\n }\",\n \"function heapSort(arr,comp){\\r\\n // Turn arr into a heap\\r\\n heapify(arr,comp);\\r\\n for(let i = arr.length-1; i > 0; i--){\\r\\n // The 0th element of a heap is the largest so move it to the top.\\r\\n [arr[0],arr[i]] = [arr[i],arr[0]];\\r\\n // The 0th element is no longer the largest; restore the heap property\\r\\n siftDown(arr,comp,0);\\r\\n }\\r\\n}\",\n \"async function heapify(arr,length,i){\\n chosen.style.color=\\\"black\\\";\\n chosen.innerHTML=`Turning the remaining array into max heap...`;\\n let largest=i;\\n let left=i*2+1;\\n let right=left+1;\\n let rightBar=document.querySelector(`.bar${right}`);\\n let leftBar=document.querySelector(`.bar${left}`);\\n let iBar=document.querySelector(`.bar${i}`);\\n await sleep(speed);\\n iBar.style.backgroundColor=\\\"#3500d3\\\";//selected\\n if (left<length)\\n leftBar.style.backgroundColor=\\\"#f64c72\\\";//checking\\n if (right<length)\\n rightBar.style.backgroundColor=\\\"#f64c72\\\";//checking\\n if (left<length && arr[left]>arr[largest])\\n largest=left;\\n if (right<length && arr[right]>arr[largest])\\n largest=right;\\n if(largest!=i){\\n let largestBar=document.querySelector(`.bar${largest}`);\\n iBar=document.querySelector(`.bar${i}`);\\n [arr[largest],arr[i]]=[arr[i],arr[largest]];\\n [largestBar.style.height,iBar.style.height]=[iBar.style.height,largestBar.style.height];\\n [largestBar.innerHTML,iBar.innerHTML]=[iBar.innerHTML,largestBar.innerHTML];\\n await sleep(speed);\\n iBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n leftBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n rightBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n\\n await heapify(arr,length,largest);\\n }\\n iBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n if (left<length)\\n leftBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n if (right<length)\\n rightBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n}\",\n \"function pqdownheap(tree, k) {\\n\\t\\tvar v = heap[k],\\n\\t\\t\\tj = k << 1; // left son of k\\n\\n\\t\\twhile (j <= heap_len) {\\n\\t\\t\\t// Set j to the smallest of the two sons:\\n\\t\\t\\tif (j < heap_len && SMALLER(tree, heap[j + 1], heap[j])) {\\n\\t\\t\\t\\tj++;\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Exit if v is smaller than both sons\\n\\t\\t\\tif (SMALLER(tree, v, heap[j])) {\\n\\t\\t\\t\\tbreak;\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Exchange v with the smallest son\\n\\t\\t\\theap[k] = heap[j];\\n\\t\\t\\tk = j;\\n\\n\\t\\t\\t// And continue down the tree, setting j to the left son of k\\n\\t\\t\\tj <<= 1;\\n\\t\\t}\\n\\t\\theap[k] = v;\\n\\t}\",\n \"dequeue() {\\n // set a variable equal to the object keys array\\n var keys = Object.keys(this.storage);\\n // set a variable equal to the lowest key value\\n var lowest = this.storage[keys[0]];\\n // delete the lowest key value\\n delete this.storage[keys[0]];\\n // return the lowest key value variable\\n return lowest;\\n }\",\n \"function fix_extrema(slot) {\\n if (slot.maximum !== undefined) {\\n slot.max = slot.maximum;\\n delete slot.maximum;\\n }\\n if (slot.minimum !== undefined) {\\n slot.min = slot.minimum;\\n delete slot.minimum;\\n }\\n }\",\n \"delete(value) {\\n if (this.head.back === this.head && this.head.value === value) {\\n this.head = null;\\n } else {\\n let temp = this.head;\\n\\n while (temp.value !== value) {\\n if (temp.forward.value <= temp.value) {\\n return false;\\n }\\n temp = temp.forward;\\n }\\n\\n temp.back.forward = temp.forward;\\n temp.forward.back = temp.back;\\n\\n if (temp === this.head) {\\n this.head = temp.forward;\\n }\\n\\n delete this.temp;\\n }\\n this.size--;\\n return true;\\n }\",\n \"remove() {\\n if (!this.value) {\\n this.value = this.min || 0;\\n }\\n const step = this.ctrl_key ? 100 : this.shift_key ? 10 : this.step || 1;\\n this.value -= step;\\n if (this.value < this.min) {\\n this.value = this.min || 0;\\n }\\n this.setValue(this.value);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.88500553","0.8017225","0.762636","0.7623454","0.7433278","0.728619","0.72537774","0.71495926","0.71142554","0.70889926","0.69997257","0.6982289","0.69431186","0.6823337","0.67177093","0.67000633","0.66962206","0.6652222","0.6639554","0.6618666","0.66110706","0.6583024","0.6576373","0.64911616","0.64856577","0.64669216","0.6464628","0.64557457","0.6450055","0.64311546","0.63740087","0.637112","0.63508713","0.63361806","0.63044816","0.6297384","0.62704605","0.62690824","0.6257644","0.62206984","0.6218686","0.6191195","0.6191195","0.6190149","0.6185546","0.617834","0.6151276","0.61479914","0.61302006","0.61302006","0.61302006","0.61302006","0.61302006","0.6113292","0.6110042","0.6110042","0.60981536","0.6091502","0.60913044","0.60833424","0.60649","0.6061322","0.60444885","0.60409665","0.60361713","0.6029652","0.60163754","0.60163754","0.59973544","0.59939426","0.59922594","0.59894145","0.59768707","0.5976001","0.59643745","0.59623677","0.5957637","0.5939153","0.59378827","0.5928781","0.5926082","0.5909945","0.590944","0.590881","0.5908189","0.5901202","0.5892333","0.58861375","0.58773625","0.58762693","0.5865893","0.58577454","0.58477545","0.5831387","0.58102095","0.57982033","0.5797247","0.5795191","0.5793246","0.579167"],"string":"[\n \"0.88500553\",\n \"0.8017225\",\n \"0.762636\",\n \"0.7623454\",\n \"0.7433278\",\n \"0.728619\",\n \"0.72537774\",\n \"0.71495926\",\n \"0.71142554\",\n \"0.70889926\",\n \"0.69997257\",\n \"0.6982289\",\n \"0.69431186\",\n \"0.6823337\",\n \"0.67177093\",\n \"0.67000633\",\n \"0.66962206\",\n \"0.6652222\",\n \"0.6639554\",\n \"0.6618666\",\n \"0.66110706\",\n \"0.6583024\",\n \"0.6576373\",\n \"0.64911616\",\n \"0.64856577\",\n \"0.64669216\",\n \"0.6464628\",\n \"0.64557457\",\n \"0.6450055\",\n \"0.64311546\",\n \"0.63740087\",\n \"0.637112\",\n \"0.63508713\",\n \"0.63361806\",\n \"0.63044816\",\n \"0.6297384\",\n \"0.62704605\",\n \"0.62690824\",\n \"0.6257644\",\n \"0.62206984\",\n \"0.6218686\",\n \"0.6191195\",\n \"0.6191195\",\n \"0.6190149\",\n \"0.6185546\",\n \"0.617834\",\n \"0.6151276\",\n \"0.61479914\",\n \"0.61302006\",\n \"0.61302006\",\n \"0.61302006\",\n \"0.61302006\",\n \"0.61302006\",\n \"0.6113292\",\n \"0.6110042\",\n \"0.6110042\",\n \"0.60981536\",\n \"0.6091502\",\n \"0.60913044\",\n \"0.60833424\",\n \"0.60649\",\n \"0.6061322\",\n \"0.60444885\",\n \"0.60409665\",\n \"0.60361713\",\n \"0.6029652\",\n \"0.60163754\",\n \"0.60163754\",\n \"0.59973544\",\n \"0.59939426\",\n \"0.59922594\",\n \"0.59894145\",\n \"0.59768707\",\n \"0.5976001\",\n \"0.59643745\",\n \"0.59623677\",\n \"0.5957637\",\n \"0.5939153\",\n \"0.59378827\",\n \"0.5928781\",\n \"0.5926082\",\n \"0.5909945\",\n \"0.590944\",\n \"0.590881\",\n \"0.5908189\",\n \"0.5901202\",\n \"0.5892333\",\n \"0.58861375\",\n \"0.58773625\",\n \"0.58762693\",\n \"0.5865893\",\n \"0.58577454\",\n \"0.58477545\",\n \"0.5831387\",\n \"0.58102095\",\n \"0.57982033\",\n \"0.5797247\",\n \"0.5795191\",\n \"0.5793246\",\n \"0.579167\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7505327"},"document_rank":{"kind":"string","value":"4"}}},{"rowIdx":183,"cells":{"query":{"kind":"string","value":"stores the max value and then removes it from the heap"},"document":{"kind":"string","value":"extractMin() {\r\n\t\tconst min = this.heap[0];\r\n\t\tthis.remove(min);\r\n\t\treturn min;\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.length === 2) return this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\n\n let max = this.array[1];\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// save reference to root value (max)\n\n this.array[1] = this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t // remove last val in array (farthest right node in tree), and update root value with it\n\n this.siftDown(1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\n\n return max;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// return max value\n }","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","extractMax() {\r\n\t\tconst max = this.heap[0];\r\n\t\tthis.remove(max);\r\n\t\treturn max;\r\n\t}","extractMax() {\n\t\tconst max = this.heap[0];\n\t\tconst tmp = this.heap.pop();\n\t\tif (!this.empty()) {\n\t\t\tthis.heap[0] = tmp;\n\t\t\tthis.sinkDown(0);\n\t\t}\n\t\treturn max;\n\t}","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}","function maxHeap(val, parentVal) {\n return val > parentVal;\n}","function maxHeapify(arr){\n\n}","function insert_max_heap(A, no, value) {\n A[no] = value //Insert , a new element will be added always at last \n const n = no\n let i = n\n\n //apply hepify method till we reach root (i=1)\n while (i >= 1) {\n const parent = Math.floor((i - 1) / 2)\n if (A[parent] < A[i]) {\n swap(A, parent, i)\n i = parent\n } else {\n i = parent\n //return ;\n }\n }\n}","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","remove() {\n // Swap root value with last element in the heap\n // Pop the last element from heap array\n // Perform siftDown to correct position of swapped value\n // Return popped value\n this.swap(0, this.heap.length - 1, this.heap);\n const valueToRemove = this.heap.pop();\n this.siftDown(0, this.heap.length - 1, this.heap);\n \n return valueToRemove;\n }","removeMin() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}","function nMax(){\n var arr=[-3,3,5,7];\n var max= arr[0];\n for(var i = 0; i< arr.length; i++){\n if(arr[i]>max){\n max=arr[i];\n arr.splice(max);\n }\n }\n for(var i=0; i<arr.length;i++){\n if(arr[i]>max){\n max=arr[i];\n \n }\n }\n console.log(max);\n return max;\n }","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","findMax() {\r\n\t\treturn this.heap[0];\r\n\t}","buildMaxHeap() {}","maxToBack(){\n var runner = this.head;\n var max = this.head\n var prevnode = this.head\n var maxprev = null\n while (runner != null) {\n if (runner.val > max.val) {\n max = runner;\n maxprev = prevnode\n }\n prevnode = runner\n runner = runner.next\n }\n prevnode.next = max\n maxprev.next = max.next\n max.next = null;\n }","extractMax(){\r\n if(this.values.length === 1) return this.values.pop();\r\n const oldRoot = this.values[0];\r\n this.values[0] = this.values[this.values.length-1];\r\n this.values.pop();\r\n let idx = 0;\r\n let child1 = (2*idx) + 1;\r\n let child2 = (2*idx) + 2;\r\n\r\n while(this.values[idx] < this.values[child1] || \r\n this.values[idx] < this.values[child2]){\r\n child1 = (2*idx) + 1;\r\n child2 = (2*idx) + 2;\r\n if(this.values[child1] >= this.values[child2]){\r\n let temp = this.values[child1];\r\n this.values[child1] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child1;\r\n } else {\r\n let temp = this.values[child2];\r\n this.values[child2] = this.values[idx];\r\n this.values[idx] = temp;\r\n idx = child2;\r\n }\r\n }\r\n return oldRoot;\r\n }","extractMax() {\n let values = this.values;\n if (values.length === 0) return;\n let max = values[0];\n // For time complexity reasons, I swap first then remove the old root node\n values[0] = values[values.length - 1];\n values.pop();\n console.log(values);\n // instatiate child nodes\n let child1, child2, indexToSwap;\n let currentIndex = 0;\n while (true) {\n child1 = currentIndex * 2 + 1;\n child2 = currentIndex * 2 + 2;\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\n break;\n }\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\n if (!values[indexToSwap]) break;\n let oldNode = values[currentIndex];\n values[currentIndex] = values[indexToSwap];\n values[indexToSwap] = oldNode;\n currentIndex = indexToSwap;\n }\n this.values = values;\n return max;\n }","extractMax(){\n const max = this.values.shift();\n let current = this.values.pop();\n if(this.values.length > 0){\n this.values.unshift(current);\n this.sinkDown();\n }\n return max;\n }","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","extractMax() {\n if (this.values.length===1) {\n return this.values.pop()\n }\n let max = this.values[0]\n let tail = this.values.pop()\n this.values[0] = tail\n let index = 0\n let element = this.values[index]\n // repeat until neither child is greater than the element\n while(true) {\n let swapped = null\n let leftIndex = 2 * index + 1\n let rightIndex = 2 * index + 2\n if (leftIndex < this.values.length) {\n if(this.values[leftIndex] > element) {\n swapped = leftIndex\n }\n }\n if (rightIndex < this.values.length) {\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\n swapped = rightIndex\n }\n }\n if (swapped===null) break\n this.values[index] = this.values[swapped]\n this.values[swapped] = element\n index = swapped\n }\n return max\n }","delMin() {\n /*\n * Save reference to the min key.\n * Swap the min key with the last key in the heap.\n * Decrement n so that the key does not swim back up the heap.\n * Sink down the heap to fix any violations that have arisen.\n * Delete the min key to prevent loitering, and return its reference.\n */\n let min = this.heap[1];\n\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\n this.n--;\n this.sink(1);\n this.heap[this.n+1] = null;\n\n return min;\n }","maxHeap(index) {\n var left = this.left(index);\n var right = this.right(index);\n var largest = index;\n if (left < this.heapSize && this.array[left] > this.array[index]) {\n largest = left;\n }\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\n largest = right;\n }\n if (largest != index) {\n this.swap(this.array, index, largest);\n this.maxHeap(largest);\n }\n }","function deleteMax(h) { \n if (isRed(h.left))\n h = rotateRight(h);\n\n if (h.right == null || h.right == undefined)\n return null;\n\n if (!isRed(h.right) && !isRed(h.right.left))\n h = moveRedRight(h);\n\n h.right = deleteMax(h.right);\n\n return balance(h);\n }","function MaxPriorityQueue(array){\r\n MaxHeap.call(this, array)\r\n}","static maxHeapify(a, i) {\n let left = Heap.left(i);\n let right = Heap.right(i);\n\n // Find largest node between current, left and right\n let largest;\n if (left < a.heap_size && a[left] > a[i])\n largest = left;\n else\n largest = i;\n\n if (right < a.heap_size && a[right] > a[largest])\n largest = right;\n\n // Move current element to 'largest' position, and\n // continue until the element is positioned correctly\n if (largest != i) {\n let temp = a[i];\n a[i] = a[largest];\n a[largest] = temp;\n\n Heap.maxHeapify(a, largest);\n }\n }","function maxHeapify(arr, length, parent) {\n var largest = parent;\n var leftChild = 2 * parent + 1;\n var rightChild = 2 * parent + 2;\n\n if (leftChild < length && arr[leftChild] > arr[largest]) {\n largest = leftChild;\n }\n\n if (rightChild < length && arr[rightChild] > arr[largest]) {\n largest = rightChild;\n }\n\n if (largest != parent) {\n var temp = arr[largest];\n arr[largest] = arr[parent];\n arr[parent] = temp;\n\n maxHeapify(arr, length, largest);\n }\n}","heapDown(index) {\n const [leftIndex, rightIndex] = this.children(index);\n \n if (!leftIndex && !rightIndex) return;\n\n let min;\n rightIndex ? min = rightIndex : min = leftIndex;\n if ((leftIndex && rightIndex) &&\n this.store[leftIndex].key < this.store[rightIndex].key) {\n min = leftIndex;\n }\n\n if (this.store[index].key > this.store[min].key) {\n this.swap(index, min);\n this.heapDown(min);\n }\n }","remove(key) {\n this.storage.set(getIndexBelowMax(key), undefined);\n }","insert_num(num) {\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\n this.maxHeap.insert(num);\n } else {\n this.minHeap.insert(num);\n }\n\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\n this.minHeap.insert(this.maxHeap.extractMax());\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\n this.maxHeap.insert(this.minHeap.remove());\n }\n }","function MaxHeap(array){\r\n Heap.call(this, array);\r\n \r\n // Build-max-heap method: produces a max-heap from an unordered input array\r\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\r\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\r\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\r\n this.floatDownElementOfIndex(i)\r\n }\r\n}","remove(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tlet i;\r\n\t\tfor (i = 0; i < size; i++) {\r\n\t\t\tif (data === this.heap[i]) {\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\r\n\t\tthis.heap.splice(size - 1);\r\n\r\n\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\tthis.minHeapify(this.heap, this.heap.length, i);\r\n\t\t}\r\n\t}","remove() {\n if (this.isEmpty()) return;\n this.swap(0, this.store.length - 1);\n const { value } = this.store.pop();\n if (!this.isEmpty()) this.heapDown(0);\n return value;\n }","function buildMaxHeap() {\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\n maxHeapify(i, array.length);\n }\n}","maxToBack(){\n // your code here\n var runner = this.head\n var max = runner\n while (runner.next != null){\n if (runner.next.value > max.value){\n max = runner.next\n }\n runner = runner.next\n }\n var temp = runner.value\n runner.value = max.value\n max.value = temp\n return this\n }","extractMax() {\n const max = this.values[0];\n const end = this.values.pop();\n this.values[0] = end;\n this.sinkDown();\n return max;\n }","function maxHeapify(idx, hSize) {\n let largest;\n const left = (2 * idx) + 1;\n const right = (2 * idx) + 2;\n if (left < hSize && array[left] > array[idx]) {\n largest = left;\n } else {\n largest = idx;\n }\n if (right < hSize && array[right] > array[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n const temp = array[idx];\n array[idx] = array[largest];\n array[largest] = temp;\n maxHeapify(largest, hSize);\n }\n}","Dequeue() {\r\n if (this.heap.length == 0) return;\r\n const highestPriority = this.heap[0];\r\n const leastPriority = this.heap[this.heap.length - 1];\r\n //swap first and last priority\r\n this.heap[this.heap.length - 1] = highestPriority;\r\n this.heap[0] = leastPriority;\r\n this.heap.pop();\r\n let nodeIndex = 0; //sink down\r\n while (true) {\r\n const left = this.heap[2 * nodeIndex + 1];\r\n const right = this.heap[2 * nodeIndex + 2];\r\n const leastElement = this.heap[nodeIndex];\r\n if (\r\n right &&\r\n right.priority < left.priority &&\r\n right.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 2] = leastElement;\r\n this.heap[nodeIndex] = right;\r\n nodeIndex = 2 * nodeIndex + 2;\r\n } else if (\r\n left &&\r\n left.priority < right.priority &&\r\n left.priority < leastElement.priority\r\n ) {\r\n this.heap[2 * nodeIndex + 1] = leastElement;\r\n this.heap[nodeIndex] = left;\r\n nodeIndex = 2 * nodeIndex + 1;\r\n } else {\r\n break;\r\n }\r\n }\r\n\r\n return highestPriority;\r\n }","insert(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tif (size === 0) {\r\n\t\t\tthis.heap.push(data);\r\n\t\t} else {\r\n\t\t\tthis.heap.push(data);\r\n\r\n\t\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t\t}\r\n\t\t}\r\n\t}","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","dequeue (){\n // let removedRoot = this.values[0];\n //replace with last added value\n //TEACHERS SOLUTION\n const min = this.values[0];\n const end = this.values.pop();\n //EDGE CASE IF NOTHING LEFT IN\n if(this.values.length > 0){\n //LINE 97 CAUSES A FOREVER LOOP WITH THE LAST ELEMENT IF WE DON'T ADD THE CONDITIONAL, BECAUSE WE REASSIGN THE ROOT TO BE END (WHICH WAS THE ORIGINAL ROOT IF THERE'S ONLY ONE ELEMENT)\n this.values[0] = end;\n //START TRICKLE DOWN\n this.sinkDown();\n }\n \n \n return min;\n }","function heapSortV2(array) {\n\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\n heapify(array, array.length, i); // array length not really used for this part\n }\n\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \"delete\" max val until heap region is \"empty\"\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\n\n console.log(array);\n\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\n }\n\n return array;\n}","extractMax() {\n // swap the first value in the values property with the last value\n // pop from the values property, so you can return the value at the end.\n // 'sink down' to the correct spot\n const max = this.values[0];\n const end = this.values.pop();\n if (this.values.length > 0) {\n this.values[0] = end;\n // move it to the correct position\n this.bubbleDown();\n }\n return max;\n }","function heap_root(input, i) { \n var left = 2 * i + 1; \n var right = 2 * i + 2; \n var max = i; \n \n if (left < array_length && input[left] > input[max]) { \n max = left; \n } \n \n if (right < array_length && input[right] > input[max]) { \n max = right; \n } \n \n if (max != i) { \n swap(input, i, max); \n heap_root(input, max); \n } \n}","function MinHeap(){\n\tthis.maxIndex = -1;\n\tthis.arr = {};\n}","static buildMaxHeap(a) {\n a.heap_size = a.length;\n\n // Max-heapify the first n/2 elements as\n // they are tree nodes, and the remaining are\n // usually tree leaves\n let mid = parseInt(a.length / 2);\n for (let i = mid; i >= 0; i -= 1) {\n Heap.maxHeapify(a, i);\n }\n }","heapify() {\n\t\t// last index is one less than the size\n\t\tlet index = this.size() - 1;\n\n\t\t/*\n Property of ith element in binary heap - \n left child is at = (2*i)th position\n right child is at = (2*i+1)th position\n parent is at = floor(i/2)th position\n */\n\n\t\t// converting entire array into heap from behind to front\n\t\t// just like heapify function to create it MAX HEAP\n\t\twhile (index > 0) {\n\t\t\t// pull out element from the array and find parent element\n\t\t\tlet element = this.heap[index],\n\t\t\t\tparentIndex = Math.floor((index - 1) / 2),\n\t\t\t\tparent = this.heap[parentIndex];\n\n\t\t\t// if parent is greater or equal, its already a heap hence break\n\t\t\tif (parent[0] >= element[0]) break;\n\t\t\t// else swap the values as we're creating a max heap\n\t\t\tthis.heap[index] = parent;\n\t\t\tthis.heap[parentIndex] = element;\n\t\t\tindex = parentIndex;\n\t\t}\n\t}","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","function heap_root(input, i) {\n var left = 2 * i + 1;\n var right = 2 * i + 2;\n var max = i;\n\n if (left < array_length && input[left] > input[max]) {\n max = left;\n }\n\n if (right < array_length && input[right] > input[max]) {\n max = right;\n }\n\n if (max != i) {\n swap(input, i, max);\n heap_root(input, max);\n }\n}","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","insert(val) {\n this.array.push(val);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// push value to end of array (add node to farthest bottom left of tree)\n\n this.siftUp(this.array.length - 1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuously swap value toward front of array to maintain maxHeap property\n }","async function MaxHeapify( i, heapSize)\n{\n\n let hasLeft = (2 * i + 1 < heapSize) ? true : false;\n let hasRight = (2 * i + 2 < heapSize) ? true : false;\n let l, r;\n let largest = i;\n if (hasLeft)\n l = arr[2 * i + 1].offsetHeight;\n if (hasRight)\n r = arr[2 * i + 2].offsetHeight;\n if (hasLeft && arr[i].offsetHeight < l)\n {\n largest = 2 * i + 1;\n }\n if (hasRight && arr[largest].offsetHeight < r)\n {\n largest = 2 * i + 2;\n }\n if (largest != i)\n {\n arr[i].style.backgroundColor='white';\n arr[largest].style.backgroundColor='green';\n await timer(delay);\n await swap(i, largest);\n arr[i].style.backgroundColor='red';\n arr[largest].style.backgroundColor='red';\n await MaxHeapify(largest, heapSize);\n }\n}","function maxHeapify(arr , n , i)\n\t{\n\t\n\t\t// Find largest of node and its children\n\t\tif (i >= n) {\n\t\t\treturn;\n\t\t}\n\t\tvar l = i * 2 + 1;\n\t\tvar r = i * 2 + 2;\n\t\tvar max;\n\t\tif (l < n && arr[l] > arr[i]) {\n\t\t\tmax = l;\n\t\t} else\n\t\t\tmax = i;\n\t\tif (r < n && arr[r] > arr[max]) {\n\t\t\tmax = r;\n\t\t}\n\n\t\t// Put maximum value at root and\n\t\t// recur for the child with the\n\t\t// maximum value\n\t\tif (max != i) {\n\t\t\tvar temp = arr[max];\n\t\t\tarr[max] = arr[i];\n\t\t\tarr[i] = temp;\n\t\t\tmaxHeapify(arr, n, max);\n\t\t}\n\t}","extractMax() {\n const max = this.values[0]\n const end = this.values.pop()\n\n if (this.values.length > 0) {\n this.values[0] = end\n this._sinkDown()\n }\n\n return max\n }","heapify(/*index*/ i) {\n let l = this.left(i);\n let r = this.right(i);\n let biggest = i;\n if (l < this.heap_size && this.harr[i].element.compareByMulKeys(this.harr[l].element, this.compareValues) == -1)\n biggest = l;\n if (r < this.heap_size && this.harr[biggest].element.compareByMulKeys(this.harr[r].element, this.compareValues) == -1)\n biggest = r;\n if (biggest != i) {\n this.swap(this.harr, i, biggest);\n this.heapify(biggest);\n }\n }","heapifyDown(){\n let idx = 0,\n element = this.values[idx],\n swap,\n leftChildIdx,\n rightChildIdx,\n leftChild,\n rightChild;\n while (true){\n swap = null;\n leftChildIdx = (2 * idx) + 1;\n rightChildIdx = (2 * idx) + 2;\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\n swap = leftChildIdx\n }\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\n swap = rightChildIdx;\n }\n if (swap === null) break;\n this.values[idx] = this.values[swap];\n this.values[swap] = element;\n idx = swap; \n } \n }","function buildHeap(arr, type) {\n // gets the last index\n var lastIndex = arr.length - 1;\n // While the last index is greater than 0\n while (lastIndex > 0) {\n // get the parent index\n var parentIndex = Math.floor((lastIndex - 1) / 2);\n // get the items inside the parent\n // and the last index \n var lastItem = arr[lastIndex];\n var parentItem = arr[parentIndex];\n\n if (type === 'maxHeap') {\n // checks to see if the lastItem is greater\n // than the parentItem if so then do a swap\n if (lastItem > parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n else if (type === 'minHeap') {\n // checks to see if the lastItem is less\n // than the parentItem if so then do a swap\n if (lastItem < parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n\n }\n }","maxValue() {\n let currNode = this.top;\n let maxValue = this.top.value;\n \n while (currNode.next) {\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\n currNode = currNode.next;\n }\n \n return maxValue;\n }","function heapifyStandart(currentIndex, heapSize ,arr){\n\n var largestElement = currentIndex\n var leftIndex = 2 * currentIndex + 1\n var rightIndex = 2 * currentIndex + 2\n\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\n largestElement = leftIndex\n }\n \n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\n largestElement = rightIndex\n }\n\n if (largestElement != currentIndex){\n swapArrayElement(currentIndex, largestElement, arr)\n heapifyStandart(largestElement, heapSize, arr)\n }\n}","function maxHeapBuild(arr) {\n if (arr.length <= 1) return;\n createHeap(arr, arr.length);\n return arr;\n}","function heapify(A, idx, max) {\n var largest = idx,\n left = 2 * idx + 1,\n right = 2 * idx + 2;\n\n if (left < max && A[left] > A[idx]) {\n largest = left;\n }\n if (right < max && A[right] > A[largest]) {\n largest = right;\n }\n if (largest !== idx) {\n swap(A, idx, largest);\n heapify(A, largest, max);\n }\n}","function heapify(array, size, i) {\n let max = i // initialize max as root\n let left = 2 * i + 1\n let right = 2 * i + 2\n \n // if left child is larger than root\n if (left < size && array[left] > array[max])\n max = left\n \n // if right child is larger than max\n if (right < size && array[right] > array[max])\n max = right\n \n // if max is not root\n if (max != i) {\n // swap\n let temp = array[i]\n array[i] = array[max]\n array[max] = temp\n \n // recursively heapify the affected sub-tree\n heapify(array, size, max)\n }\n }","pop(){\r\n if (this.top === -1){\r\n return undefined;\r\n }else{\r\n delete this.storage[this.top];\r\n this.top -= 1;\r\n }\r\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","function heapSort(array){\n // 1: Construction\n let heap = new MaxHeap()\n array.forEach(ele => {\n heap.insert(ele)\n });\n\n// 2: sortdown \n let sorted = []\n while (heap.array.length > 1){\n sorted.push(heap.deleteMax())\n }\n return sorted\n}","function heapDeleteRoot()\n{\n\tif (!this.isEmpty()) { \n\t\t// save root key and item pair\n\t\tvar root = [ this.h[1], this.h_item[1] ]; \n }\n\telse { //if heap is empty\n\t\treturn \"The heap is empty\";\n\t}\n\t// ... complete\n\tthis.h_item[1] = this.h_item[this.size];\n\n this.h[1] = this.h[this.size];\n this.heapify(1);\n\t\n //decrease the heap size by 1 since we delete from it\n this.size = this.size-1;\n\n\treturn root;\n}","dequeue() {\n const [next] = this.values;\n this.values[0] = this.values.pop();\n let childLeft, childRight;\n let curr = 0;\n while (true) {\n let childLeftIdx = 2 * curr + 1;\n let childRightIdx = childLeft + 1;\n let swap = null;\n if (childLeftIdx < this.values.length) {\n childLeft = this.values[childLeftIdx];\n if (childLeft.priority > this.values[curr].priority) {\n swap = childLeft;\n }\n\n if (childRightIdx < this.values.length) {\n childRight = this.values[childRight];\n if (\n (swap === null &&\n childRight.priority < this.values[curr].priority) ||\n (swap !== null && childRight < childLeft.priority)\n ) {\n swap = childRightIdx;\n }\n }\n\n if (swap === null) break;\n const temp = this.values[curr];\n this.values[curr] = this.values[swap];\n this.values[swap] = temp;\n curr = swap;\n }\n }\n }","dequeue(){\n const oldRoot = this.values[0];\n const lastNode = this.values.pop();\n \n if(this.values.length > 0){\n this.values[0] = lastNode;\n this.bubbleDown();\n }\n \n return oldRoot;\n }","function maxHeap(array, n, i) {\n let largest = i;\n let left = 2 * i + 1;\n let right = 2 * i + 2;\n if (left < n && array[left] > array[largest]) {\n largest = left;\n }\n\n // If right child is larger than largest so far\n if (right < n && array[right] > array[largest]) {\n largest = right;\n }\n\n // If largest is not root\n if (largest != i) {\n let swap = array[i];\n array[i] = array[largest];\n array[largest] = swap;\n\n // Recursively heapify the affected sub-tree\n maxHeap(array, n, largest);\n }\n}","function heapify(currentIndex, arr){\n\n if (isHavingChildrenLeft(currentIndex, arr)) {\n let parent = arr[currentIndex]\n\n if (isHavingChildrenRight(currentIndex, arr)){\n let maxChildren = Math.max(arr[currentIndex * 2 + 1], arr[currentIndex * 2 + 2])\n if (parent < maxChildren){\n let maxChilrenIndex = maxChildren == arr[currentIndex * 2 + 1] ? currentIndex * 2 + 1 : currentIndex * 2 + 2 \n swapArrayElement(currentIndex, maxChilrenIndex, arr)\n heapify(maxChilrenIndex, arr)\n }\n }else {\n if (parent < arr[currentIndex * 2 + 1]){\n swapArrayElement(currentIndex, currentIndex * 2 + 1, arr)\n heapify(currentIndex * 2 + 1, arr)\n }\n }\n }else {\n console.log(\"skipping index %d\", currentIndex)\n }\n}","insert(value) {\n // Insert value to the end of array\n // Perform siftUp to correct position of value in the heap tree\n this.heap.push(value);\n this.siftUp(this.heap.length - 1, this.heap);\n }","bubble_down (p) {\n // var max_index = max_by(\n // [p, this.right_child(p), this.left_child(p)], // indices\n // index => this.queue[index] || -1 // scoring function\n // )\n\n // var max_index = p\n // var left_child_index = this.left_child(p)\n // var right_child_index = this.right_child(p)\n // if (this.queue[left_child_index] > this.queue[max_index]) {\n // max_index = left_child_index\n // }\n // if (this.queue[right_child_index] > this.queue[max_index]) {\n // max_index = right_child_index\n // }\n //\n // if (max_index !== p) {\n // this.swap(p, max_index)\n // this.bubble_down(max_index)\n // }\n\n\n // // latest and greatest\n var length = this.queue.length;\n var element = this.queue[p]\n\n while(true) {\n var child1N = this.left_child(p)\n var child2N = this.right_child(p)\n\n var swap = null\n if(child1N < length) {\n var child1 = this.queue[child1N]\n\n if (child1 > element)\n swap = child1N\n }\n\n if (child2N < length) {\n var child2 = this.queue[child2N]\n if(child2 > (swap === null ? element : this.queue[child1N]))\n swap = child2N\n }\n\n if (swap == null) {\n break;\n }\n\n this.queue[p] = this.queue[swap]\n this.queue[swap] = element\n p = swap\n }\n }","function thirdLargestNode(tree) {\n tree.remove(tree._findMax().key);\n tree.remove(tree._findMax().key);\n return tree._findMax().key;\n}","pop() {\n //delete the current top values within the stack\n delete this.items[this.top];\n //deduct 1 from the top to show the new top index\n this.top = this.top -1;\n }","function setHighest() {\n highest = i;\n if (typeof (Storage) !== \"undefined\") {\n window.localStorage.setItem(\"maxScore\", highest);\n }\n maxElement.innerHTML = highest;\n}","dequeue() {\n // set a variable equal to the object keys array\n var keys = Object.keys(this.storage);\n // set a variable equal to the lowest key value\n var lowest = this.storage[keys[0]];\n // delete the lowest key value\n delete this.storage[keys[0]];\n // return the lowest key value variable\n return lowest;\n }","function MaxStack () {\n this.max;\n this.array = [];\n}","delete(value) {\n if (this.head.back === this.head && this.head.value === value) {\n this.head = null;\n } else {\n let temp = this.head;\n\n while (temp.value !== value) {\n if (temp.forward.value <= temp.value) {\n return false;\n }\n temp = temp.forward;\n }\n\n temp.back.forward = temp.forward;\n temp.forward.back = temp.back;\n\n if (temp === this.head) {\n this.head = temp.forward;\n }\n\n delete this.temp;\n }\n this.size--;\n return true;\n }","poll() {\n const { queue } = this;\n // remove the top priority value at index 0\n const topPriority = queue[0];\n // new queue has bottom value at top & we shrink the size\n // of the queue as there is one less value\n queue[0] = queue.pop();\n let replacedValIndex = 0;\n let replacedVal = queue[replacedValIndex];\n let leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\n let leftChildNodeVal = queue[leftChildNodeIndex];\n let rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\n let rightChildNodeVal = queue[rightChildNodeIndex];\n while (\n (replacedVal > leftChildNodeVal) |\n (replacedVal > rightChildNodeVal)\n ) {\n if (rightChildNodeVal < leftChildNodeVal) {\n queue[replacedValIndex] = rightChildNodeVal;\n queue[rightChildNodeIndex] = replacedVal;\n replacedValIndex = rightChildNodeIndex;\n leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\n leftChildNodeVal = queue[leftChildNodeIndex];\n rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\n rightChildNodeVal = queue[rightChildNodeIndex];\n } else {\n queue[replacedValIndex] = leftChildNodeVal;\n queue[leftChildNodeIndex] = replacedVal;\n replacedValIndex = leftChildNodeIndex;\n leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\n leftChildNodeVal = queue[leftChildNodeIndex];\n rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\n rightChildNodeVal = queue[rightChildNodeIndex];\n }\n }\n console.log(\"Polled val:\", topPriority);\n }","function heapify (heap) {\n // Get the parent idx of the last node\n var start = iparent(heap.arr.length - 1)\n while (start >= 0) {\n siftDown(start, heap)\n start -= 1\n }\n return heap\n}","maxHeapify(arr, n, i) {\r\n\t\tlet largest = i;\r\n\t\tlet leftIndex = 2 * i + 1;\r\n\t\tlet rightIndex = 2 * i + 2;\r\n\r\n\t\tif (leftIndex < n && arr[leftIndex] > arr[largest]) {\r\n\t\t\tlargest = leftIndex;\r\n\t\t}\r\n\t\tif (rightIndex < n && arr[rightIndex] > arr[largest]) {\r\n\t\t\tlargest = rightIndex;\r\n\t\t}\r\n\t\tif (largest != i) {\r\n\t\t\tlet temp = arr[i];\r\n\t\t\tarr[i] = arr[largest];\r\n\t\t\tarr[largest] = temp;\r\n\t\t\tthis.maxHeapify(arr, n, largest);\r\n\t\t}\r\n\t}","function MinHeap() {\n\n /**\n * Insert an item into the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} x\n */\n this.insert = function(x) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:)\n *\n * @return{number}\n */\n this.peek = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Remove and return the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.pop = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the size of the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.size = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Convert the heap data into a string\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{string}\n */\n MinHeap.prototype.toString = function() {\n // INSERT YOUR CODE HERE\n }\n\n /*\n * The following are some optional helper methods. These are not required\n * but may make your life easier\n */\n\n /**\n * Get the index of the parent node of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var parent = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the index of the left child of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var leftChild = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Swap the values at 2 indices in our heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @param{number} j\n */\n var swap = function(i, j) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble up the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleUp = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble down the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleDown = function(i) {\n // INSERT YOUR CODE HERE\n }\n}","function max() {\n // set node to the root value\n var node = this.root;\n // loop until there is no more values to the right\n while( node.right != null ) {\n node = node.right; // move to the right value\n } // end while\n return node.data;\n} // end max","function heapify(arr,comp){\r\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\r\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\r\n // Restore the heap property for i\r\n siftDown(arr, comp, i);\r\n }\r\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\r\n}","remove(element,comparator=this.compare){\r\n let totalOccurenceOfElement=this.find(element,comparator).length;\r\n for(let i=0;i<totalOccurenceOfElement;i++){\r\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\r\n let heapSize=this.heapContainer.length;\r\n // if the element is at last index simply remove it as we\r\n // don't need to haepify\r\n if(removeIndex===heapSize-1){\r\n this.heapContainer.pop();\r\n }\r\n else{\r\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \r\n this.heapContainer.pop();\r\n let parentElement=this.getParent(removeIndex);\r\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\r\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\r\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\r\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \r\n // down side\r\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\r\n this.heapifyDown(removeIndex);\r\n }\r\n else{\r\n this.heapifyUp(removeIndex);\r\n }\r\n }\r\n \r\n }\r\n return this;\r\n }","function checkHighest(value) {\n if (isHighest < value) {\n isHighest = value;\n }\n}","function heapSort(arr,comp){\r\n // Turn arr into a heap\r\n heapify(arr,comp);\r\n for(let i = arr.length-1; i > 0; i--){\r\n // The 0th element of a heap is the largest so move it to the top.\r\n [arr[0],arr[i]] = [arr[i],arr[0]];\r\n // The 0th element is no longer the largest; restore the heap property\r\n siftDown(arr,comp,0);\r\n }\r\n}","grow() {\n this.capacity *= 2;\n this.capacity = this.closestLargestPrime(this.capacity);\n for (let i = 0; i < this.table.length; i++) {\n let currentBucket = this.table[i];\n this.table[i] = [];\n if (currentBucket) {\n if (currentBucket.length > 0) {\n this.elements--;\n currentBucket.forEach(item => {\n this.add(item.key, item.value);\n });\n }\n }\n }\n }","function Heap(){\n this.heap = [];\n}","function minheap_extract(heap) \n{\n var PrintE;\n PrintE = heap[0];\n heap[0] = heap[heap.length - 1];\n\n var a,large;\n var temp = heap.pop();\n for (a=0;a<heap.length;a=large)\n {\n if (2*a+2>heap.length)\n {break;}\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\n {\n if (heap[a]>heap[2*a+2])\n {\n temp = heap [a];\n heap[a] = heap[2*a+2];\n heap[2*a+2] = temp; \n large = 2*a+2; \n }\n else\n {break;}\n }\n else\n {\n if (heap[a]>heap[2*a+1])\n {\n temp = heap [2*a+1];\n heap[2*a+1] = heap[a];\n heap[a] = temp; \n large = 2*a+1;\n }\n else\n {break;}\n }\n }\n return PrintE;\n}","async function heapify(arr,length,i){\n chosen.style.color=\"black\";\n chosen.innerHTML=`Turning the remaining array into max heap...`;\n let largest=i;\n let left=i*2+1;\n let right=left+1;\n let rightBar=document.querySelector(`.bar${right}`);\n let leftBar=document.querySelector(`.bar${left}`);\n let iBar=document.querySelector(`.bar${i}`);\n await sleep(speed);\n iBar.style.backgroundColor=\"#3500d3\";//selected\n if (left<length)\n leftBar.style.backgroundColor=\"#f64c72\";//checking\n if (right<length)\n rightBar.style.backgroundColor=\"#f64c72\";//checking\n if (left<length && arr[left]>arr[largest])\n largest=left;\n if (right<length && arr[right]>arr[largest])\n largest=right;\n if(largest!=i){\n let largestBar=document.querySelector(`.bar${largest}`);\n iBar=document.querySelector(`.bar${i}`);\n [arr[largest],arr[i]]=[arr[i],arr[largest]];\n [largestBar.style.height,iBar.style.height]=[iBar.style.height,largestBar.style.height];\n [largestBar.innerHTML,iBar.innerHTML]=[iBar.innerHTML,largestBar.innerHTML];\n await sleep(speed);\n iBar.style.backgroundColor=\"#17a2b8\";//original\n leftBar.style.backgroundColor=\"#17a2b8\";//original\n rightBar.style.backgroundColor=\"#17a2b8\";//original\n\n await heapify(arr,length,largest);\n }\n iBar.style.backgroundColor=\"#17a2b8\";//original\n if (left<length)\n leftBar.style.backgroundColor=\"#17a2b8\";//original\n if (right<length)\n rightBar.style.backgroundColor=\"#17a2b8\";//original\n}","remove(key) {\n\n // getIndexBelowMax(this.storage[key]);\n }","get maximumValue() {\r\n return this.i.bk;\r\n }","function heapDown(i) {\n var w = heapWeight(i)\n while(true) {\n var tw = w\n var left = 2*i + 1\n var right = 2*(i + 1)\n var next = i\n if(left < heapCount) {\n var lw = heapWeight(left)\n if(lw < tw) {\n next = left\n tw = lw\n }\n }\n if(right < heapCount) {\n var rw = heapWeight(right)\n if(rw < tw) {\n next = right\n }\n }\n if(next === i) {\n return i\n }\n heapSwap(i, next)\n i = next \n }\n }"],"string":"[\n \"removeMax() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"deleteMax() {\\n // recall that we have an empty position at the very front of the array, \\n // so an array length of 2 means there is only 1 item in the heap\\n\\n if (this.array.length === 1) return null;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if no nodes in tree, exit\\n\\n if (this.array.length === 2) return this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\\n\\n let max = this.array[1];\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// save reference to root value (max)\\n\\n this.array[1] = this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // remove last val in array (farthest right node in tree), and update root value with it\\n\\n this.siftDown(1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\\n\\n return max;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// return max value\\n }\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"extractMax() {\\r\\n\\t\\tconst max = this.heap[0];\\r\\n\\t\\tthis.remove(max);\\r\\n\\t\\treturn max;\\r\\n\\t}\",\n \"extractMax() {\\n\\t\\tconst max = this.heap[0];\\n\\t\\tconst tmp = this.heap.pop();\\n\\t\\tif (!this.empty()) {\\n\\t\\t\\tthis.heap[0] = tmp;\\n\\t\\t\\tthis.sinkDown(0);\\n\\t\\t}\\n\\t\\treturn max;\\n\\t}\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\",\n \"function maxHeap(val, parentVal) {\\n return val > parentVal;\\n}\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"function insert_max_heap(A, no, value) {\\n A[no] = value //Insert , a new element will be added always at last \\n const n = no\\n let i = n\\n\\n //apply hepify method till we reach root (i=1)\\n while (i >= 1) {\\n const parent = Math.floor((i - 1) / 2)\\n if (A[parent] < A[i]) {\\n swap(A, parent, i)\\n i = parent\\n } else {\\n i = parent\\n //return ;\\n }\\n }\\n}\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"remove() {\\n // Swap root value with last element in the heap\\n // Pop the last element from heap array\\n // Perform siftDown to correct position of swapped value\\n // Return popped value\\n this.swap(0, this.heap.length - 1, this.heap);\\n const valueToRemove = this.heap.pop();\\n this.siftDown(0, this.heap.length - 1, this.heap);\\n \\n return valueToRemove;\\n }\",\n \"removeMin() {\\r\\n\\t\\tthis.remove(this.heap[0]);\\r\\n\\t}\",\n \"function nMax(){\\n var arr=[-3,3,5,7];\\n var max= arr[0];\\n for(var i = 0; i< arr.length; i++){\\n if(arr[i]>max){\\n max=arr[i];\\n arr.splice(max);\\n }\\n }\\n for(var i=0; i<arr.length;i++){\\n if(arr[i]>max){\\n max=arr[i];\\n \\n }\\n }\\n console.log(max);\\n return max;\\n }\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"findMax() {\\r\\n\\t\\treturn this.heap[0];\\r\\n\\t}\",\n \"buildMaxHeap() {}\",\n \"maxToBack(){\\n var runner = this.head;\\n var max = this.head\\n var prevnode = this.head\\n var maxprev = null\\n while (runner != null) {\\n if (runner.val > max.val) {\\n max = runner;\\n maxprev = prevnode\\n }\\n prevnode = runner\\n runner = runner.next\\n }\\n prevnode.next = max\\n maxprev.next = max.next\\n max.next = null;\\n }\",\n \"extractMax(){\\r\\n if(this.values.length === 1) return this.values.pop();\\r\\n const oldRoot = this.values[0];\\r\\n this.values[0] = this.values[this.values.length-1];\\r\\n this.values.pop();\\r\\n let idx = 0;\\r\\n let child1 = (2*idx) + 1;\\r\\n let child2 = (2*idx) + 2;\\r\\n\\r\\n while(this.values[idx] < this.values[child1] || \\r\\n this.values[idx] < this.values[child2]){\\r\\n child1 = (2*idx) + 1;\\r\\n child2 = (2*idx) + 2;\\r\\n if(this.values[child1] >= this.values[child2]){\\r\\n let temp = this.values[child1];\\r\\n this.values[child1] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child1;\\r\\n } else {\\r\\n let temp = this.values[child2];\\r\\n this.values[child2] = this.values[idx];\\r\\n this.values[idx] = temp;\\r\\n idx = child2;\\r\\n }\\r\\n }\\r\\n return oldRoot;\\r\\n }\",\n \"extractMax() {\\n let values = this.values;\\n if (values.length === 0) return;\\n let max = values[0];\\n // For time complexity reasons, I swap first then remove the old root node\\n values[0] = values[values.length - 1];\\n values.pop();\\n console.log(values);\\n // instatiate child nodes\\n let child1, child2, indexToSwap;\\n let currentIndex = 0;\\n while (true) {\\n child1 = currentIndex * 2 + 1;\\n child2 = currentIndex * 2 + 2;\\n if (values[currentIndex] >= Math.max(values[child1], values[child2])) {\\n break;\\n }\\n indexToSwap = values[child1] > values[child2] ? child1 : child2;\\n if (!values[indexToSwap]) break;\\n let oldNode = values[currentIndex];\\n values[currentIndex] = values[indexToSwap];\\n values[indexToSwap] = oldNode;\\n currentIndex = indexToSwap;\\n }\\n this.values = values;\\n return max;\\n }\",\n \"extractMax(){\\n const max = this.values.shift();\\n let current = this.values.pop();\\n if(this.values.length > 0){\\n this.values.unshift(current);\\n this.sinkDown();\\n }\\n return max;\\n }\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"extractMax() {\\n if (this.values.length===1) {\\n return this.values.pop()\\n }\\n let max = this.values[0]\\n let tail = this.values.pop()\\n this.values[0] = tail\\n let index = 0\\n let element = this.values[index]\\n // repeat until neither child is greater than the element\\n while(true) {\\n let swapped = null\\n let leftIndex = 2 * index + 1\\n let rightIndex = 2 * index + 2\\n if (leftIndex < this.values.length) {\\n if(this.values[leftIndex] > element) {\\n swapped = leftIndex\\n }\\n }\\n if (rightIndex < this.values.length) {\\n if( (!swapped && this.values[rightIndex] > element || !!swapped && this.values[rightIndex] > this.values[leftIndex])) {\\n swapped = rightIndex\\n }\\n }\\n if (swapped===null) break\\n this.values[index] = this.values[swapped]\\n this.values[swapped] = element\\n index = swapped\\n }\\n return max\\n }\",\n \"delMin() {\\n /*\\n * Save reference to the min key.\\n * Swap the min key with the last key in the heap.\\n * Decrement n so that the key does not swim back up the heap.\\n * Sink down the heap to fix any violations that have arisen.\\n * Delete the min key to prevent loitering, and return its reference.\\n */\\n let min = this.heap[1];\\n\\n [this.heap[1], this.heap[this.n]] = [this.heap[this.n], this.heap[1]];\\n this.n--;\\n this.sink(1);\\n this.heap[this.n+1] = null;\\n\\n return min;\\n }\",\n \"maxHeap(index) {\\n var left = this.left(index);\\n var right = this.right(index);\\n var largest = index;\\n if (left < this.heapSize && this.array[left] > this.array[index]) {\\n largest = left;\\n }\\n if (right < this.heapSize && this.array[right] > this.array[largest]) {\\n largest = right;\\n }\\n if (largest != index) {\\n this.swap(this.array, index, largest);\\n this.maxHeap(largest);\\n }\\n }\",\n \"function deleteMax(h) { \\n if (isRed(h.left))\\n h = rotateRight(h);\\n\\n if (h.right == null || h.right == undefined)\\n return null;\\n\\n if (!isRed(h.right) && !isRed(h.right.left))\\n h = moveRedRight(h);\\n\\n h.right = deleteMax(h.right);\\n\\n return balance(h);\\n }\",\n \"function MaxPriorityQueue(array){\\r\\n MaxHeap.call(this, array)\\r\\n}\",\n \"static maxHeapify(a, i) {\\n let left = Heap.left(i);\\n let right = Heap.right(i);\\n\\n // Find largest node between current, left and right\\n let largest;\\n if (left < a.heap_size && a[left] > a[i])\\n largest = left;\\n else\\n largest = i;\\n\\n if (right < a.heap_size && a[right] > a[largest])\\n largest = right;\\n\\n // Move current element to 'largest' position, and\\n // continue until the element is positioned correctly\\n if (largest != i) {\\n let temp = a[i];\\n a[i] = a[largest];\\n a[largest] = temp;\\n\\n Heap.maxHeapify(a, largest);\\n }\\n }\",\n \"function maxHeapify(arr, length, parent) {\\n var largest = parent;\\n var leftChild = 2 * parent + 1;\\n var rightChild = 2 * parent + 2;\\n\\n if (leftChild < length && arr[leftChild] > arr[largest]) {\\n largest = leftChild;\\n }\\n\\n if (rightChild < length && arr[rightChild] > arr[largest]) {\\n largest = rightChild;\\n }\\n\\n if (largest != parent) {\\n var temp = arr[largest];\\n arr[largest] = arr[parent];\\n arr[parent] = temp;\\n\\n maxHeapify(arr, length, largest);\\n }\\n}\",\n \"heapDown(index) {\\n const [leftIndex, rightIndex] = this.children(index);\\n \\n if (!leftIndex && !rightIndex) return;\\n\\n let min;\\n rightIndex ? min = rightIndex : min = leftIndex;\\n if ((leftIndex && rightIndex) &&\\n this.store[leftIndex].key < this.store[rightIndex].key) {\\n min = leftIndex;\\n }\\n\\n if (this.store[index].key > this.store[min].key) {\\n this.swap(index, min);\\n this.heapDown(min);\\n }\\n }\",\n \"remove(key) {\\n this.storage.set(getIndexBelowMax(key), undefined);\\n }\",\n \"insert_num(num) {\\n // Insert a number if the num is less than the top ele in maxHeap, or maxHeap top is null\\n if (!this.maxHeap.values.length || this.maxHeap.peek() >= num) {\\n this.maxHeap.insert(num);\\n } else {\\n this.minHeap.insert(num);\\n }\\n\\n // Rebalance the heaps. Max heap should have 1 extra element if total num of elements is odd\\n if (this.maxHeap.values.length > this.minHeap.heap.length + 1) {\\n this.minHeap.insert(this.maxHeap.extractMax());\\n } else if (this.maxHeap.values.length < this.minHeap.heap.length) {\\n this.maxHeap.insert(this.minHeap.remove());\\n }\\n }\",\n \"function MaxHeap(array){\\r\\n Heap.call(this, array);\\r\\n \\r\\n // Build-max-heap method: produces a max-heap from an unordered input array\\r\\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\\r\\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\\r\\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\\r\\n this.floatDownElementOfIndex(i)\\r\\n }\\r\\n}\",\n \"remove(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tlet i;\\r\\n\\t\\tfor (i = 0; i < size; i++) {\\r\\n\\t\\t\\tif (data === this.heap[i]) {\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\t[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];\\r\\n\\t\\tthis.heap.splice(size - 1);\\r\\n\\r\\n\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\tthis.minHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"remove() {\\n if (this.isEmpty()) return;\\n this.swap(0, this.store.length - 1);\\n const { value } = this.store.pop();\\n if (!this.isEmpty()) this.heapDown(0);\\n return value;\\n }\",\n \"function buildMaxHeap() {\\n for (let i = Math.floor(array.length / 2) - 1; i >= 0; i--) {\\n maxHeapify(i, array.length);\\n }\\n}\",\n \"maxToBack(){\\n // your code here\\n var runner = this.head\\n var max = runner\\n while (runner.next != null){\\n if (runner.next.value > max.value){\\n max = runner.next\\n }\\n runner = runner.next\\n }\\n var temp = runner.value\\n runner.value = max.value\\n max.value = temp\\n return this\\n }\",\n \"extractMax() {\\n const max = this.values[0];\\n const end = this.values.pop();\\n this.values[0] = end;\\n this.sinkDown();\\n return max;\\n }\",\n \"function maxHeapify(idx, hSize) {\\n let largest;\\n const left = (2 * idx) + 1;\\n const right = (2 * idx) + 2;\\n if (left < hSize && array[left] > array[idx]) {\\n largest = left;\\n } else {\\n largest = idx;\\n }\\n if (right < hSize && array[right] > array[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n const temp = array[idx];\\n array[idx] = array[largest];\\n array[largest] = temp;\\n maxHeapify(largest, hSize);\\n }\\n}\",\n \"Dequeue() {\\r\\n if (this.heap.length == 0) return;\\r\\n const highestPriority = this.heap[0];\\r\\n const leastPriority = this.heap[this.heap.length - 1];\\r\\n //swap first and last priority\\r\\n this.heap[this.heap.length - 1] = highestPriority;\\r\\n this.heap[0] = leastPriority;\\r\\n this.heap.pop();\\r\\n let nodeIndex = 0; //sink down\\r\\n while (true) {\\r\\n const left = this.heap[2 * nodeIndex + 1];\\r\\n const right = this.heap[2 * nodeIndex + 2];\\r\\n const leastElement = this.heap[nodeIndex];\\r\\n if (\\r\\n right &&\\r\\n right.priority < left.priority &&\\r\\n right.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 2] = leastElement;\\r\\n this.heap[nodeIndex] = right;\\r\\n nodeIndex = 2 * nodeIndex + 2;\\r\\n } else if (\\r\\n left &&\\r\\n left.priority < right.priority &&\\r\\n left.priority < leastElement.priority\\r\\n ) {\\r\\n this.heap[2 * nodeIndex + 1] = leastElement;\\r\\n this.heap[nodeIndex] = left;\\r\\n nodeIndex = 2 * nodeIndex + 1;\\r\\n } else {\\r\\n break;\\r\\n }\\r\\n }\\r\\n\\r\\n return highestPriority;\\r\\n }\",\n \"insert(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tif (size === 0) {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\r\\n\\t\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"dequeue (){\\n // let removedRoot = this.values[0];\\n //replace with last added value\\n //TEACHERS SOLUTION\\n const min = this.values[0];\\n const end = this.values.pop();\\n //EDGE CASE IF NOTHING LEFT IN\\n if(this.values.length > 0){\\n //LINE 97 CAUSES A FOREVER LOOP WITH THE LAST ELEMENT IF WE DON'T ADD THE CONDITIONAL, BECAUSE WE REASSIGN THE ROOT TO BE END (WHICH WAS THE ORIGINAL ROOT IF THERE'S ONLY ONE ELEMENT)\\n this.values[0] = end;\\n //START TRICKLE DOWN\\n this.sinkDown();\\n }\\n \\n \\n return min;\\n }\",\n \"function heapSortV2(array) {\\n\\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\\n heapify(array, array.length, i); // array length not really used for this part\\n }\\n\\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \\\"delete\\\" max val until heap region is \\\"empty\\\"\\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\\n\\n console.log(array);\\n\\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\\n }\\n\\n return array;\\n}\",\n \"extractMax() {\\n // swap the first value in the values property with the last value\\n // pop from the values property, so you can return the value at the end.\\n // 'sink down' to the correct spot\\n const max = this.values[0];\\n const end = this.values.pop();\\n if (this.values.length > 0) {\\n this.values[0] = end;\\n // move it to the correct position\\n this.bubbleDown();\\n }\\n return max;\\n }\",\n \"function heap_root(input, i) { \\n var left = 2 * i + 1; \\n var right = 2 * i + 2; \\n var max = i; \\n \\n if (left < array_length && input[left] > input[max]) { \\n max = left; \\n } \\n \\n if (right < array_length && input[right] > input[max]) { \\n max = right; \\n } \\n \\n if (max != i) { \\n swap(input, i, max); \\n heap_root(input, max); \\n } \\n}\",\n \"function MinHeap(){\\n\\tthis.maxIndex = -1;\\n\\tthis.arr = {};\\n}\",\n \"static buildMaxHeap(a) {\\n a.heap_size = a.length;\\n\\n // Max-heapify the first n/2 elements as\\n // they are tree nodes, and the remaining are\\n // usually tree leaves\\n let mid = parseInt(a.length / 2);\\n for (let i = mid; i >= 0; i -= 1) {\\n Heap.maxHeapify(a, i);\\n }\\n }\",\n \"heapify() {\\n\\t\\t// last index is one less than the size\\n\\t\\tlet index = this.size() - 1;\\n\\n\\t\\t/*\\n Property of ith element in binary heap - \\n left child is at = (2*i)th position\\n right child is at = (2*i+1)th position\\n parent is at = floor(i/2)th position\\n */\\n\\n\\t\\t// converting entire array into heap from behind to front\\n\\t\\t// just like heapify function to create it MAX HEAP\\n\\t\\twhile (index > 0) {\\n\\t\\t\\t// pull out element from the array and find parent element\\n\\t\\t\\tlet element = this.heap[index],\\n\\t\\t\\t\\tparentIndex = Math.floor((index - 1) / 2),\\n\\t\\t\\t\\tparent = this.heap[parentIndex];\\n\\n\\t\\t\\t// if parent is greater or equal, its already a heap hence break\\n\\t\\t\\tif (parent[0] >= element[0]) break;\\n\\t\\t\\t// else swap the values as we're creating a max heap\\n\\t\\t\\tthis.heap[index] = parent;\\n\\t\\t\\tthis.heap[parentIndex] = element;\\n\\t\\t\\tindex = parentIndex;\\n\\t\\t}\\n\\t}\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"function heap_root(input, i) {\\n var left = 2 * i + 1;\\n var right = 2 * i + 2;\\n var max = i;\\n\\n if (left < array_length && input[left] > input[max]) {\\n max = left;\\n }\\n\\n if (right < array_length && input[right] > input[max]) {\\n max = right;\\n }\\n\\n if (max != i) {\\n swap(input, i, max);\\n heap_root(input, max);\\n }\\n}\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"insert(val) {\\n this.array.push(val);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// push value to end of array (add node to farthest bottom left of tree)\\n\\n this.siftUp(this.array.length - 1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuously swap value toward front of array to maintain maxHeap property\\n }\",\n \"async function MaxHeapify( i, heapSize)\\n{\\n\\n let hasLeft = (2 * i + 1 < heapSize) ? true : false;\\n let hasRight = (2 * i + 2 < heapSize) ? true : false;\\n let l, r;\\n let largest = i;\\n if (hasLeft)\\n l = arr[2 * i + 1].offsetHeight;\\n if (hasRight)\\n r = arr[2 * i + 2].offsetHeight;\\n if (hasLeft && arr[i].offsetHeight < l)\\n {\\n largest = 2 * i + 1;\\n }\\n if (hasRight && arr[largest].offsetHeight < r)\\n {\\n largest = 2 * i + 2;\\n }\\n if (largest != i)\\n {\\n arr[i].style.backgroundColor='white';\\n arr[largest].style.backgroundColor='green';\\n await timer(delay);\\n await swap(i, largest);\\n arr[i].style.backgroundColor='red';\\n arr[largest].style.backgroundColor='red';\\n await MaxHeapify(largest, heapSize);\\n }\\n}\",\n \"function maxHeapify(arr , n , i)\\n\\t{\\n\\t\\n\\t\\t// Find largest of node and its children\\n\\t\\tif (i >= n) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tvar l = i * 2 + 1;\\n\\t\\tvar r = i * 2 + 2;\\n\\t\\tvar max;\\n\\t\\tif (l < n && arr[l] > arr[i]) {\\n\\t\\t\\tmax = l;\\n\\t\\t} else\\n\\t\\t\\tmax = i;\\n\\t\\tif (r < n && arr[r] > arr[max]) {\\n\\t\\t\\tmax = r;\\n\\t\\t}\\n\\n\\t\\t// Put maximum value at root and\\n\\t\\t// recur for the child with the\\n\\t\\t// maximum value\\n\\t\\tif (max != i) {\\n\\t\\t\\tvar temp = arr[max];\\n\\t\\t\\tarr[max] = arr[i];\\n\\t\\t\\tarr[i] = temp;\\n\\t\\t\\tmaxHeapify(arr, n, max);\\n\\t\\t}\\n\\t}\",\n \"extractMax() {\\n const max = this.values[0]\\n const end = this.values.pop()\\n\\n if (this.values.length > 0) {\\n this.values[0] = end\\n this._sinkDown()\\n }\\n\\n return max\\n }\",\n \"heapify(/*index*/ i) {\\n let l = this.left(i);\\n let r = this.right(i);\\n let biggest = i;\\n if (l < this.heap_size && this.harr[i].element.compareByMulKeys(this.harr[l].element, this.compareValues) == -1)\\n biggest = l;\\n if (r < this.heap_size && this.harr[biggest].element.compareByMulKeys(this.harr[r].element, this.compareValues) == -1)\\n biggest = r;\\n if (biggest != i) {\\n this.swap(this.harr, i, biggest);\\n this.heapify(biggest);\\n }\\n }\",\n \"heapifyDown(){\\n let idx = 0,\\n element = this.values[idx],\\n swap,\\n leftChildIdx,\\n rightChildIdx,\\n leftChild,\\n rightChild;\\n while (true){\\n swap = null;\\n leftChildIdx = (2 * idx) + 1;\\n rightChildIdx = (2 * idx) + 2;\\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\\n swap = leftChildIdx\\n }\\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\\n swap = rightChildIdx;\\n }\\n if (swap === null) break;\\n this.values[idx] = this.values[swap];\\n this.values[swap] = element;\\n idx = swap; \\n } \\n }\",\n \"function buildHeap(arr, type) {\\n // gets the last index\\n var lastIndex = arr.length - 1;\\n // While the last index is greater than 0\\n while (lastIndex > 0) {\\n // get the parent index\\n var parentIndex = Math.floor((lastIndex - 1) / 2);\\n // get the items inside the parent\\n // and the last index \\n var lastItem = arr[lastIndex];\\n var parentItem = arr[parentIndex];\\n\\n if (type === 'maxHeap') {\\n // checks to see if the lastItem is greater\\n // than the parentItem if so then do a swap\\n if (lastItem > parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n else if (type === 'minHeap') {\\n // checks to see if the lastItem is less\\n // than the parentItem if so then do a swap\\n if (lastItem < parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n\\n }\\n }\",\n \"maxValue() {\\n let currNode = this.top;\\n let maxValue = this.top.value;\\n \\n while (currNode.next) {\\n if (currNode.next.value > maxValue) maxValue = currNode.next.value;\\n currNode = currNode.next;\\n }\\n \\n return maxValue;\\n }\",\n \"function heapifyStandart(currentIndex, heapSize ,arr){\\n\\n var largestElement = currentIndex\\n var leftIndex = 2 * currentIndex + 1\\n var rightIndex = 2 * currentIndex + 2\\n\\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\\n largestElement = leftIndex\\n }\\n \\n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\\n largestElement = rightIndex\\n }\\n\\n if (largestElement != currentIndex){\\n swapArrayElement(currentIndex, largestElement, arr)\\n heapifyStandart(largestElement, heapSize, arr)\\n }\\n}\",\n \"function maxHeapBuild(arr) {\\n if (arr.length <= 1) return;\\n createHeap(arr, arr.length);\\n return arr;\\n}\",\n \"function heapify(A, idx, max) {\\n var largest = idx,\\n left = 2 * idx + 1,\\n right = 2 * idx + 2;\\n\\n if (left < max && A[left] > A[idx]) {\\n largest = left;\\n }\\n if (right < max && A[right] > A[largest]) {\\n largest = right;\\n }\\n if (largest !== idx) {\\n swap(A, idx, largest);\\n heapify(A, largest, max);\\n }\\n}\",\n \"function heapify(array, size, i) {\\n let max = i // initialize max as root\\n let left = 2 * i + 1\\n let right = 2 * i + 2\\n \\n // if left child is larger than root\\n if (left < size && array[left] > array[max])\\n max = left\\n \\n // if right child is larger than max\\n if (right < size && array[right] > array[max])\\n max = right\\n \\n // if max is not root\\n if (max != i) {\\n // swap\\n let temp = array[i]\\n array[i] = array[max]\\n array[max] = temp\\n \\n // recursively heapify the affected sub-tree\\n heapify(array, size, max)\\n }\\n }\",\n \"pop(){\\r\\n if (this.top === -1){\\r\\n return undefined;\\r\\n }else{\\r\\n delete this.storage[this.top];\\r\\n this.top -= 1;\\r\\n }\\r\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"function heapSort(array){\\n // 1: Construction\\n let heap = new MaxHeap()\\n array.forEach(ele => {\\n heap.insert(ele)\\n });\\n\\n// 2: sortdown \\n let sorted = []\\n while (heap.array.length > 1){\\n sorted.push(heap.deleteMax())\\n }\\n return sorted\\n}\",\n \"function heapDeleteRoot()\\n{\\n\\tif (!this.isEmpty()) { \\n\\t\\t// save root key and item pair\\n\\t\\tvar root = [ this.h[1], this.h_item[1] ]; \\n }\\n\\telse { //if heap is empty\\n\\t\\treturn \\\"The heap is empty\\\";\\n\\t}\\n\\t// ... complete\\n\\tthis.h_item[1] = this.h_item[this.size];\\n\\n this.h[1] = this.h[this.size];\\n this.heapify(1);\\n\\t\\n //decrease the heap size by 1 since we delete from it\\n this.size = this.size-1;\\n\\n\\treturn root;\\n}\",\n \"dequeue() {\\n const [next] = this.values;\\n this.values[0] = this.values.pop();\\n let childLeft, childRight;\\n let curr = 0;\\n while (true) {\\n let childLeftIdx = 2 * curr + 1;\\n let childRightIdx = childLeft + 1;\\n let swap = null;\\n if (childLeftIdx < this.values.length) {\\n childLeft = this.values[childLeftIdx];\\n if (childLeft.priority > this.values[curr].priority) {\\n swap = childLeft;\\n }\\n\\n if (childRightIdx < this.values.length) {\\n childRight = this.values[childRight];\\n if (\\n (swap === null &&\\n childRight.priority < this.values[curr].priority) ||\\n (swap !== null && childRight < childLeft.priority)\\n ) {\\n swap = childRightIdx;\\n }\\n }\\n\\n if (swap === null) break;\\n const temp = this.values[curr];\\n this.values[curr] = this.values[swap];\\n this.values[swap] = temp;\\n curr = swap;\\n }\\n }\\n }\",\n \"dequeue(){\\n const oldRoot = this.values[0];\\n const lastNode = this.values.pop();\\n \\n if(this.values.length > 0){\\n this.values[0] = lastNode;\\n this.bubbleDown();\\n }\\n \\n return oldRoot;\\n }\",\n \"function maxHeap(array, n, i) {\\n let largest = i;\\n let left = 2 * i + 1;\\n let right = 2 * i + 2;\\n if (left < n && array[left] > array[largest]) {\\n largest = left;\\n }\\n\\n // If right child is larger than largest so far\\n if (right < n && array[right] > array[largest]) {\\n largest = right;\\n }\\n\\n // If largest is not root\\n if (largest != i) {\\n let swap = array[i];\\n array[i] = array[largest];\\n array[largest] = swap;\\n\\n // Recursively heapify the affected sub-tree\\n maxHeap(array, n, largest);\\n }\\n}\",\n \"function heapify(currentIndex, arr){\\n\\n if (isHavingChildrenLeft(currentIndex, arr)) {\\n let parent = arr[currentIndex]\\n\\n if (isHavingChildrenRight(currentIndex, arr)){\\n let maxChildren = Math.max(arr[currentIndex * 2 + 1], arr[currentIndex * 2 + 2])\\n if (parent < maxChildren){\\n let maxChilrenIndex = maxChildren == arr[currentIndex * 2 + 1] ? currentIndex * 2 + 1 : currentIndex * 2 + 2 \\n swapArrayElement(currentIndex, maxChilrenIndex, arr)\\n heapify(maxChilrenIndex, arr)\\n }\\n }else {\\n if (parent < arr[currentIndex * 2 + 1]){\\n swapArrayElement(currentIndex, currentIndex * 2 + 1, arr)\\n heapify(currentIndex * 2 + 1, arr)\\n }\\n }\\n }else {\\n console.log(\\\"skipping index %d\\\", currentIndex)\\n }\\n}\",\n \"insert(value) {\\n // Insert value to the end of array\\n // Perform siftUp to correct position of value in the heap tree\\n this.heap.push(value);\\n this.siftUp(this.heap.length - 1, this.heap);\\n }\",\n \"bubble_down (p) {\\n // var max_index = max_by(\\n // [p, this.right_child(p), this.left_child(p)], // indices\\n // index => this.queue[index] || -1 // scoring function\\n // )\\n\\n // var max_index = p\\n // var left_child_index = this.left_child(p)\\n // var right_child_index = this.right_child(p)\\n // if (this.queue[left_child_index] > this.queue[max_index]) {\\n // max_index = left_child_index\\n // }\\n // if (this.queue[right_child_index] > this.queue[max_index]) {\\n // max_index = right_child_index\\n // }\\n //\\n // if (max_index !== p) {\\n // this.swap(p, max_index)\\n // this.bubble_down(max_index)\\n // }\\n\\n\\n // // latest and greatest\\n var length = this.queue.length;\\n var element = this.queue[p]\\n\\n while(true) {\\n var child1N = this.left_child(p)\\n var child2N = this.right_child(p)\\n\\n var swap = null\\n if(child1N < length) {\\n var child1 = this.queue[child1N]\\n\\n if (child1 > element)\\n swap = child1N\\n }\\n\\n if (child2N < length) {\\n var child2 = this.queue[child2N]\\n if(child2 > (swap === null ? element : this.queue[child1N]))\\n swap = child2N\\n }\\n\\n if (swap == null) {\\n break;\\n }\\n\\n this.queue[p] = this.queue[swap]\\n this.queue[swap] = element\\n p = swap\\n }\\n }\",\n \"function thirdLargestNode(tree) {\\n tree.remove(tree._findMax().key);\\n tree.remove(tree._findMax().key);\\n return tree._findMax().key;\\n}\",\n \"pop() {\\n //delete the current top values within the stack\\n delete this.items[this.top];\\n //deduct 1 from the top to show the new top index\\n this.top = this.top -1;\\n }\",\n \"function setHighest() {\\n highest = i;\\n if (typeof (Storage) !== \\\"undefined\\\") {\\n window.localStorage.setItem(\\\"maxScore\\\", highest);\\n }\\n maxElement.innerHTML = highest;\\n}\",\n \"dequeue() {\\n // set a variable equal to the object keys array\\n var keys = Object.keys(this.storage);\\n // set a variable equal to the lowest key value\\n var lowest = this.storage[keys[0]];\\n // delete the lowest key value\\n delete this.storage[keys[0]];\\n // return the lowest key value variable\\n return lowest;\\n }\",\n \"function MaxStack () {\\n this.max;\\n this.array = [];\\n}\",\n \"delete(value) {\\n if (this.head.back === this.head && this.head.value === value) {\\n this.head = null;\\n } else {\\n let temp = this.head;\\n\\n while (temp.value !== value) {\\n if (temp.forward.value <= temp.value) {\\n return false;\\n }\\n temp = temp.forward;\\n }\\n\\n temp.back.forward = temp.forward;\\n temp.forward.back = temp.back;\\n\\n if (temp === this.head) {\\n this.head = temp.forward;\\n }\\n\\n delete this.temp;\\n }\\n this.size--;\\n return true;\\n }\",\n \"poll() {\\n const { queue } = this;\\n // remove the top priority value at index 0\\n const topPriority = queue[0];\\n // new queue has bottom value at top & we shrink the size\\n // of the queue as there is one less value\\n queue[0] = queue.pop();\\n let replacedValIndex = 0;\\n let replacedVal = queue[replacedValIndex];\\n let leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\\n let leftChildNodeVal = queue[leftChildNodeIndex];\\n let rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\\n let rightChildNodeVal = queue[rightChildNodeIndex];\\n while (\\n (replacedVal > leftChildNodeVal) |\\n (replacedVal > rightChildNodeVal)\\n ) {\\n if (rightChildNodeVal < leftChildNodeVal) {\\n queue[replacedValIndex] = rightChildNodeVal;\\n queue[rightChildNodeIndex] = replacedVal;\\n replacedValIndex = rightChildNodeIndex;\\n leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\\n leftChildNodeVal = queue[leftChildNodeIndex];\\n rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\\n rightChildNodeVal = queue[rightChildNodeIndex];\\n } else {\\n queue[replacedValIndex] = leftChildNodeVal;\\n queue[leftChildNodeIndex] = replacedVal;\\n replacedValIndex = leftChildNodeIndex;\\n leftChildNodeIndex = this.getLeftChildNodeIndex(replacedValIndex);\\n leftChildNodeVal = queue[leftChildNodeIndex];\\n rightChildNodeIndex = this.getRightChildNodeIndex(replacedValIndex);\\n rightChildNodeVal = queue[rightChildNodeIndex];\\n }\\n }\\n console.log(\\\"Polled val:\\\", topPriority);\\n }\",\n \"function heapify (heap) {\\n // Get the parent idx of the last node\\n var start = iparent(heap.arr.length - 1)\\n while (start >= 0) {\\n siftDown(start, heap)\\n start -= 1\\n }\\n return heap\\n}\",\n \"maxHeapify(arr, n, i) {\\r\\n\\t\\tlet largest = i;\\r\\n\\t\\tlet leftIndex = 2 * i + 1;\\r\\n\\t\\tlet rightIndex = 2 * i + 2;\\r\\n\\r\\n\\t\\tif (leftIndex < n && arr[leftIndex] > arr[largest]) {\\r\\n\\t\\t\\tlargest = leftIndex;\\r\\n\\t\\t}\\r\\n\\t\\tif (rightIndex < n && arr[rightIndex] > arr[largest]) {\\r\\n\\t\\t\\tlargest = rightIndex;\\r\\n\\t\\t}\\r\\n\\t\\tif (largest != i) {\\r\\n\\t\\t\\tlet temp = arr[i];\\r\\n\\t\\t\\tarr[i] = arr[largest];\\r\\n\\t\\t\\tarr[largest] = temp;\\r\\n\\t\\t\\tthis.maxHeapify(arr, n, largest);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"function MinHeap() {\\n\\n /**\\n * Insert an item into the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} x\\n */\\n this.insert = function(x) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:)\\n *\\n * @return{number}\\n */\\n this.peek = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Remove and return the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.pop = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the size of the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.size = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Convert the heap data into a string\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{string}\\n */\\n MinHeap.prototype.toString = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /*\\n * The following are some optional helper methods. These are not required\\n * but may make your life easier\\n */\\n\\n /**\\n * Get the index of the parent node of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var parent = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the index of the left child of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var leftChild = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Swap the values at 2 indices in our heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @param{number} j\\n */\\n var swap = function(i, j) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble up the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleUp = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble down the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleDown = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n}\",\n \"function max() {\\n // set node to the root value\\n var node = this.root;\\n // loop until there is no more values to the right\\n while( node.right != null ) {\\n node = node.right; // move to the right value\\n } // end while\\n return node.data;\\n} // end max\",\n \"function heapify(arr,comp){\\r\\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\\r\\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\\r\\n // Restore the heap property for i\\r\\n siftDown(arr, comp, i);\\r\\n }\\r\\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\\r\\n}\",\n \"remove(element,comparator=this.compare){\\r\\n let totalOccurenceOfElement=this.find(element,comparator).length;\\r\\n for(let i=0;i<totalOccurenceOfElement;i++){\\r\\n let removeIndex=this.heapContainer.findIndex((x)=> comparator.equal(x,element)); // findIndex is used for finding first found element's index\\r\\n let heapSize=this.heapContainer.length;\\r\\n // if the element is at last index simply remove it as we\\r\\n // don't need to haepify\\r\\n if(removeIndex===heapSize-1){\\r\\n this.heapContainer.pop();\\r\\n }\\r\\n else{\\r\\n this.heapContainer[removeIndex]=this.heapContainer[heapSize-1]; \\r\\n this.heapContainer.pop();\\r\\n let parentElement=this.getParent(removeIndex);\\r\\n let elementAtRemovedIndex=this.heapContainer[removeIndex];\\r\\n // if at index where the element is removed does not have a parent element that means it was on root and we cannot go up to heapify and alternately if the parent element\\r\\n // is in right order as compare to the new element that is moved to removed index that means we dont' have to take care of upper part of heap as if it is i right position to parent than it will also be in correct position to it's\\r\\n // parent's parent and we have used hasLeftChild because we only need to heapify down if there exists element in \\r\\n // down side\\r\\n if(!parentElement || this.isPairInRightOrder(parentElement,elementAtRemovedIndex) && this.hasLeftChild(removeIndex)){\\r\\n this.heapifyDown(removeIndex);\\r\\n }\\r\\n else{\\r\\n this.heapifyUp(removeIndex);\\r\\n }\\r\\n }\\r\\n \\r\\n }\\r\\n return this;\\r\\n }\",\n \"function checkHighest(value) {\\n if (isHighest < value) {\\n isHighest = value;\\n }\\n}\",\n \"function heapSort(arr,comp){\\r\\n // Turn arr into a heap\\r\\n heapify(arr,comp);\\r\\n for(let i = arr.length-1; i > 0; i--){\\r\\n // The 0th element of a heap is the largest so move it to the top.\\r\\n [arr[0],arr[i]] = [arr[i],arr[0]];\\r\\n // The 0th element is no longer the largest; restore the heap property\\r\\n siftDown(arr,comp,0);\\r\\n }\\r\\n}\",\n \"grow() {\\n this.capacity *= 2;\\n this.capacity = this.closestLargestPrime(this.capacity);\\n for (let i = 0; i < this.table.length; i++) {\\n let currentBucket = this.table[i];\\n this.table[i] = [];\\n if (currentBucket) {\\n if (currentBucket.length > 0) {\\n this.elements--;\\n currentBucket.forEach(item => {\\n this.add(item.key, item.value);\\n });\\n }\\n }\\n }\\n }\",\n \"function Heap(){\\n this.heap = [];\\n}\",\n \"function minheap_extract(heap) \\n{\\n var PrintE;\\n PrintE = heap[0];\\n heap[0] = heap[heap.length - 1];\\n\\n var a,large;\\n var temp = heap.pop();\\n for (a=0;a<heap.length;a=large)\\n {\\n if (2*a+2>heap.length)\\n {break;}\\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\\n {\\n if (heap[a]>heap[2*a+2])\\n {\\n temp = heap [a];\\n heap[a] = heap[2*a+2];\\n heap[2*a+2] = temp; \\n large = 2*a+2; \\n }\\n else\\n {break;}\\n }\\n else\\n {\\n if (heap[a]>heap[2*a+1])\\n {\\n temp = heap [2*a+1];\\n heap[2*a+1] = heap[a];\\n heap[a] = temp; \\n large = 2*a+1;\\n }\\n else\\n {break;}\\n }\\n }\\n return PrintE;\\n}\",\n \"async function heapify(arr,length,i){\\n chosen.style.color=\\\"black\\\";\\n chosen.innerHTML=`Turning the remaining array into max heap...`;\\n let largest=i;\\n let left=i*2+1;\\n let right=left+1;\\n let rightBar=document.querySelector(`.bar${right}`);\\n let leftBar=document.querySelector(`.bar${left}`);\\n let iBar=document.querySelector(`.bar${i}`);\\n await sleep(speed);\\n iBar.style.backgroundColor=\\\"#3500d3\\\";//selected\\n if (left<length)\\n leftBar.style.backgroundColor=\\\"#f64c72\\\";//checking\\n if (right<length)\\n rightBar.style.backgroundColor=\\\"#f64c72\\\";//checking\\n if (left<length && arr[left]>arr[largest])\\n largest=left;\\n if (right<length && arr[right]>arr[largest])\\n largest=right;\\n if(largest!=i){\\n let largestBar=document.querySelector(`.bar${largest}`);\\n iBar=document.querySelector(`.bar${i}`);\\n [arr[largest],arr[i]]=[arr[i],arr[largest]];\\n [largestBar.style.height,iBar.style.height]=[iBar.style.height,largestBar.style.height];\\n [largestBar.innerHTML,iBar.innerHTML]=[iBar.innerHTML,largestBar.innerHTML];\\n await sleep(speed);\\n iBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n leftBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n rightBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n\\n await heapify(arr,length,largest);\\n }\\n iBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n if (left<length)\\n leftBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n if (right<length)\\n rightBar.style.backgroundColor=\\\"#17a2b8\\\";//original\\n}\",\n \"remove(key) {\\n\\n // getIndexBelowMax(this.storage[key]);\\n }\",\n \"get maximumValue() {\\r\\n return this.i.bk;\\r\\n }\",\n \"function heapDown(i) {\\n var w = heapWeight(i)\\n while(true) {\\n var tw = w\\n var left = 2*i + 1\\n var right = 2*(i + 1)\\n var next = i\\n if(left < heapCount) {\\n var lw = heapWeight(left)\\n if(lw < tw) {\\n next = left\\n tw = lw\\n }\\n }\\n if(right < heapCount) {\\n var rw = heapWeight(right)\\n if(rw < tw) {\\n next = right\\n }\\n }\\n if(next === i) {\\n return i\\n }\\n heapSwap(i, next)\\n i = next \\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8409095","0.7877608","0.7585467","0.73500264","0.73173934","0.7304062","0.7143545","0.70733887","0.7040378","0.7005794","0.69212705","0.69015676","0.6883216","0.6674372","0.6661336","0.6651813","0.66323894","0.6611787","0.6607657","0.6603595","0.6594041","0.6590008","0.6561784","0.6522226","0.64889723","0.6476614","0.6445646","0.64444745","0.64257395","0.64036345","0.6375218","0.63559127","0.6351474","0.6346451","0.6343195","0.63107824","0.6290287","0.62822074","0.6270549","0.62603486","0.6249749","0.6240726","0.61943597","0.6190101","0.6189247","0.6179705","0.6155469","0.61366546","0.6118917","0.6116565","0.6116565","0.6093352","0.6093352","0.6093352","0.6093352","0.6093352","0.60921216","0.60537666","0.60477406","0.60449743","0.6039253","0.6038892","0.6025458","0.602423","0.6016807","0.600551","0.6003344","0.599103","0.5983915","0.5960869","0.5960869","0.5953174","0.5952029","0.5943364","0.59276116","0.5907756","0.5887367","0.5872507","0.5869296","0.58586186","0.58583283","0.5849378","0.5845216","0.5835212","0.5815588","0.5808637","0.5807188","0.5800628","0.5800081","0.57911754","0.5790973","0.57878053","0.57748115","0.5758137","0.5754946","0.5748891","0.5746044","0.5738877","0.5737881","0.5717096","0.5715291"],"string":"[\n \"0.8409095\",\n \"0.7877608\",\n \"0.7585467\",\n \"0.73500264\",\n \"0.73173934\",\n \"0.7304062\",\n \"0.7143545\",\n \"0.70733887\",\n \"0.7040378\",\n \"0.7005794\",\n \"0.69212705\",\n \"0.69015676\",\n \"0.6883216\",\n \"0.6674372\",\n \"0.6661336\",\n \"0.6651813\",\n \"0.66323894\",\n \"0.6611787\",\n \"0.6607657\",\n \"0.6603595\",\n \"0.6594041\",\n \"0.6590008\",\n \"0.6561784\",\n \"0.6522226\",\n \"0.64889723\",\n \"0.6476614\",\n \"0.6445646\",\n \"0.64444745\",\n \"0.64257395\",\n \"0.64036345\",\n \"0.6375218\",\n \"0.63559127\",\n \"0.6351474\",\n \"0.6346451\",\n \"0.6343195\",\n \"0.63107824\",\n \"0.6290287\",\n \"0.62822074\",\n \"0.6270549\",\n \"0.62603486\",\n \"0.6249749\",\n \"0.6240726\",\n \"0.61943597\",\n \"0.6190101\",\n \"0.6189247\",\n \"0.6179705\",\n \"0.6155469\",\n \"0.61366546\",\n \"0.6118917\",\n \"0.6116565\",\n \"0.6116565\",\n \"0.6093352\",\n \"0.6093352\",\n \"0.6093352\",\n \"0.6093352\",\n \"0.6093352\",\n \"0.60921216\",\n \"0.60537666\",\n \"0.60477406\",\n \"0.60449743\",\n \"0.6039253\",\n \"0.6038892\",\n \"0.6025458\",\n \"0.602423\",\n \"0.6016807\",\n \"0.600551\",\n \"0.6003344\",\n \"0.599103\",\n \"0.5983915\",\n \"0.5960869\",\n \"0.5960869\",\n \"0.5953174\",\n \"0.5952029\",\n \"0.5943364\",\n \"0.59276116\",\n \"0.5907756\",\n \"0.5887367\",\n \"0.5872507\",\n \"0.5869296\",\n \"0.58586186\",\n \"0.58583283\",\n \"0.5849378\",\n \"0.5845216\",\n \"0.5835212\",\n \"0.5815588\",\n \"0.5808637\",\n \"0.5807188\",\n \"0.5800628\",\n \"0.5800081\",\n \"0.57911754\",\n \"0.5790973\",\n \"0.57878053\",\n \"0.57748115\",\n \"0.5758137\",\n \"0.5754946\",\n \"0.5748891\",\n \"0.5746044\",\n \"0.5738877\",\n \"0.5737881\",\n \"0.5717096\",\n \"0.5715291\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":184,"cells":{"query":{"kind":"string","value":"return the size of the heap"},"document":{"kind":"string","value":"size() {\r\n\t\treturn this.heap.length;\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["size() {\n\t\treturn this.heap.length;\n\t}","getHeap() {\r\n\t\treturn this.heap;\r\n\t}","getHeap() {\r\n\t\treturn this.heap;\r\n\t}","get size() {\n let size = 0;\n for (let i = 0; i < this.children.length; i++)\n size += this.children[i].size;\n return size;\n }","function size() {\r\n var counter = 0;\r\n for (var i = 0; i < this.PriorityQueueContents.length; i++) {\r\n counter += this.PriorityQueueContents[i].ids.length;\r\n }\r\n return counter;\r\n }","function size() {\n\t return n;\n\t }","function size() {\n return n;\n }","size() {\n return Math.abs(this.tail - this.head);\n }","function size() {\n return stack_size;\n }","function heapisEmpty() {\n return this.size == 0 ? true : false;\n}","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","size() {\n return this.rootNode.size(this.storage);\n }","buildMaxHeap() {}","function getSize(){\n return queue.length;\n }","function size(node) {\n return node.size ? node.size : 1;\n }","size() {\n return this.tail - this.head;\n }","function size(self) {\n return self.size();\n}","get size() {}","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","size() {\n return this.stack.length;\n }","childCount() {\n\t\tif (!this.state()) { return 0 }\n\n\t\tif (this[_size] === undefined) {\n\t\t\tthis[_size] = Object.keys(this.state()).length;\n\t\t}\n\n\t\treturn this[_size];\n\t}","function GetSize() : int\n\t{\n\t\tvar n = 0;\n\t\tfor( var i = 0; i < key2down.length; i++ )\n\t\t{\n\t\t\tif( key2down[i] )\n\t\t\t\tn++;\n\t\t}\n\t\treturn n;\n\t}","function maxHeapify(arr){\n\n}","constructor(){\n this.heap = [];\n this.count = 0;\n }","constructor(){\n this.heap = [];\n this.count = 0;\n }","function Heap()\n{\n\t// h[0] not used, heap initially empty\n\n\tthis.h = [null]; // heap of integer keys\n\tthis.h_item = [null]; // corresponding heap of data-items (any object)\n\tthis.size = 0; // 1 smaller than array (also index of last child)\n\n\n\t// --------------------\n\t// PQ-required only; more could be added later when needed\n\t// the 2 basic shape maintaining operations heapify and reheapify simplify\n\t// processing functions\n\n\tthis.isEmpty = heapisEmpty; // return true if heap empty\n\tthis.deleteRoot = heapDeleteRoot; // return data-item in root\n\tthis.insert = heapInsert; // insert data-item with key\n\n\tthis.heapify = heapheapify; // make subtree heap; top-down heapify (\"sink\") used by .deleteRoot()\n\tthis.reheapify = heapreheapify; // bottom-up reheapify (\"swim\") used by .insert()\n\tthis.show = heapShow; \t // utility: return pretty formatted heap as string\n\t \t // ... etc\n\n\t// --------------------\n}","function size(x) {\n if (x === null || x == undefined) return 0;\n return x.size;\n }","size() {\n let count = 0;\n let node = this.head; // Declare a node variable initialize to this.head\n // While the node exist\n while (node) {\n count++; // Increment count variable\n node = node.next; // reinitialize node to next node (if node.next is null the loop will break)\n }\n return count; // return count (which is the size)\n }","get size() {\n return this._queue.size;\n }","get size() {\n return this._queue.size;\n }","size(){\n return this.rear-this.front + 1;\n }","function heapShow()\n{\n\tvar n = this.size;\n\tvar m = Math.floor(n/2); // last parent node\n\n\tvar k = this.h.slice(1,n+1), a = this.h_item.slice(1,n+1);\n\n\tvar out=\"<h2>Heap (size=\"+ n+ \"):</h2><p>Keys: \" + k + \"<br>Data: \"+ a + \"</p>\";\n\tfor (var i=1; i<=m; i++)\n\t{\n\t\tout += \"<p>\"+ i+ \": <b>\"+ this.h[i]+ \"(\"+ this.h_item[i]+ \")</b><ul>\";\n\t\tif ( 2*i <= n )\n\t\t\tout += \"<li>\"+ this.h[2*i]+ \"</li>\";\n\t\tif ( 2*i+1 <= n )\n\t\t\tout+= \"<li>\"+ this.h[2*i+1]+ \"</li>\";\n\t\tout+= \"</ul></p>\";\n\t}\n\n\treturn out;\n}","size() {\n return this.queue.size();\n }","function heapUp(i) {\n\t var w = heapWeight(i)\n\t while(i > 0) {\n\t var parent = heapParent(i)\n\t if(parent >= 0) {\n\t var pw = heapWeight(parent)\n\t if(w < pw) {\n\t heapSwap(i, parent)\n\t i = parent\n\t continue\n\t }\n\t }\n\t return i\n\t }\n\t }","function heapUp(i) {\n\t var w = heapWeight(i)\n\t while(i > 0) {\n\t var parent = heapParent(i)\n\t if(parent >= 0) {\n\t var pw = heapWeight(parent)\n\t if(w < pw) {\n\t heapSwap(i, parent)\n\t i = parent\n\t continue\n\t }\n\t }\n\t return i\n\t }\n\t }","heapify() {\n\t\t// last index is one less than the size\n\t\tlet index = this.size() - 1;\n\n\t\t/*\n Property of ith element in binary heap - \n left child is at = (2*i)th position\n right child is at = (2*i+1)th position\n parent is at = floor(i/2)th position\n */\n\n\t\t// converting entire array into heap from behind to front\n\t\t// just like heapify function to create it MAX HEAP\n\t\twhile (index > 0) {\n\t\t\t// pull out element from the array and find parent element\n\t\t\tlet element = this.heap[index],\n\t\t\t\tparentIndex = Math.floor((index - 1) / 2),\n\t\t\t\tparent = this.heap[parentIndex];\n\n\t\t\t// if parent is greater or equal, its already a heap hence break\n\t\t\tif (parent[0] >= element[0]) break;\n\t\t\t// else swap the values as we're creating a max heap\n\t\t\tthis.heap[index] = parent;\n\t\t\tthis.heap[parentIndex] = element;\n\t\t\tindex = parentIndex;\n\t\t}\n\t}","function MinHeap() {\n\n /**\n * Insert an item into the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} x\n */\n this.insert = function(x) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:)\n *\n * @return{number}\n */\n this.peek = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Remove and return the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.pop = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the size of the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.size = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Convert the heap data into a string\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{string}\n */\n MinHeap.prototype.toString = function() {\n // INSERT YOUR CODE HERE\n }\n\n /*\n * The following are some optional helper methods. These are not required\n * but may make your life easier\n */\n\n /**\n * Get the index of the parent node of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var parent = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the index of the left child of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var leftChild = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Swap the values at 2 indices in our heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @param{number} j\n */\n var swap = function(i, j) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble up the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleUp = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble down the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleDown = function(i) {\n // INSERT YOUR CODE HERE\n }\n}","get nodeSize() {\n return this.isLeaf ? 1 : 2 + this.content.size;\n }","queueSize() {\n return this.queue.length\n }","size() {\n let _size = node => node === null ? 0 : 1 + _size(node.left) + _size(node.right)\n return _size(this.root)\n }","function heapDeleteRoot()\n{\n\tif (!this.isEmpty()) { \n\t\t// save root key and item pair\n\t\tvar root = [ this.h[1], this.h_item[1] ]; \n }\n\telse { //if heap is empty\n\t\treturn \"The heap is empty\";\n\t}\n\t// ... complete\n\tthis.h_item[1] = this.h_item[this.size];\n\n this.h[1] = this.h[this.size];\n this.heapify(1);\n\t\n //decrease the heap size by 1 since we delete from it\n this.size = this.size-1;\n\n\treturn root;\n}","size () {\n\t\tlet count = 0;\n\t\tlet node = this.head;\n\n\t\twhile (node) {\n\t\t\tcount++;\n\t\t\tnode = node.next;\n\t\t}\n\n\t\treturn count;\n\t}","size () {\n\t\tlet count = 0;\n\t\tlet node = this.head;\n\n\t\twhile (node) {\n\t\t\tcount++;\n\t\t\tnode = node.next;\n\t\t}\n\n\t\treturn count;\n\t}","size () {\n\t\tlet count = 0;\n\t\tlet node = this.head;\n\n\t\twhile (node) {\n\t\t\tcount++;\n\t\t\tnode = node.next;\n\t\t}\n\n\t\treturn count;\n\t}","size() {\n return this.root ? this.root.size() : 0;\n }","get size() {\n if (this._available && this._available.length > 0) {\n return this._available.length;\n }\n if (this._pending && this._pending.length > 0) {\n return -this._pending.length;\n }\n return 0;\n }","function maxHeap(val, parentVal) {\n return val > parentVal;\n}","get size() {\n return this._queue.size;\n }","size() {\n if (this.isEmpty()){\n return 0;\n }\n\n var size = 1;\n var runner = this.head;\n while (runner.next != null) {\n runner = runner.next;\n size ++;\n }\n return size;\n }","function MinHeap(){\n\tthis.maxIndex = -1;\n\tthis.arr = {};\n}","get size() {\n return this.#queue.length;\n }","function heapWeight(i) {\n\t return weights[heap[i]]\n\t }","function heapWeight(i) {\n\t return weights[heap[i]]\n\t }","size(arr){\n var count = 0;\n while(this.data !== []){\n count++;\n this.pop;\n }\n return count;\n }","function size() {\n\t return k;\n\t }","get freeSize() {\n\t\treturn this._free.length;\n\t}","function size() {\n return k;\n }","function Heap(){\n this.heap = [];\n}","capacity() {\n return (this.arr.length);\n }","function heapUp(i) {\n var w = heapWeight(i)\n while(i > 0) {\n var parent = heapParent(i)\n if(parent >= 0) {\n var pw = heapWeight(parent)\n if(w < pw) {\n heapSwap(i, parent)\n i = parent\n continue\n }\n }\n return i\n }\n }","size(){\n return this.queue.length;\n }","sizeOf() {\n return this.size;\n }","get size() {\n // Return the quad count if if was cached\n let size = this._size;\n if (size !== null) return size;\n\n // Calculate the number of quads by counting to the deepest level\n size = 0;\n const graphs = this._graphs;\n let subjects, subject;\n for (const graphKey in graphs) for (const subjectKey in subjects = graphs[graphKey].subjects) for (const predicateKey in subject = subjects[subjectKey]) size += Object.keys(subject[predicateKey]).length;\n return this._size = size;\n }","getSize() {\n return this._node.__execute(() => this.element.getElementSize());\n }","get size() {\n\t\treturn this._size;\n\t}","function heapify (heap) {\n // Get the parent idx of the last node\n var start = iparent(heap.arr.length - 1)\n while (start >= 0) {\n siftDown(start, heap)\n start -= 1\n }\n return heap\n}","get size() {\n // Return the quad count if if was cached\n var size = this._size;\n if (size !== null) return size; // Calculate the number of quads by counting to the deepest level\n\n size = 0;\n var graphs = this._graphs,\n subjects,\n subject;\n\n for (var graphKey in graphs) for (var subjectKey in subjects = graphs[graphKey].subjects) for (var predicateKey in subject = subjects[subjectKey]) size += Object.keys(subject[predicateKey]).length;\n\n return this._size = size;\n }","length() {\n const queueLen = this.queue.length;\n debug(`\\nLOG: There are total ${queueLen} data in the queue`);\n return queueLen;\n }","get size() {\n\t\treturn wm.get(this).size;\n\t}","get fullQueueLength()\n {\n return this.insert - this.end;\n }","deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.length === 2) return this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\n\n let max = this.array[1];\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// save reference to root value (max)\n\n this.array[1] = this.array.pop();\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t // remove last val in array (farthest right node in tree), and update root value with it\n\n this.siftDown(1);\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\n\n return max;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// return max value\n }","size() {\n return this.sizeNum;\n }","insert(data) {\r\n\t\tconst size = this.heap.length;\r\n\r\n\t\tif (size === 0) {\r\n\t\t\tthis.heap.push(data);\r\n\t\t} else {\r\n\t\t\tthis.heap.push(data);\r\n\r\n\t\t\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\r\n\t\t\t\tthis.maxHeapify(this.heap, this.heap.length, i);\r\n\t\t\t}\r\n\t\t}\r\n\t}","nodeSize(node) {\n let size = 1;\n if (!node.children) {\n return size;\n }\n let children = this.getChild(node.children);\n do {\n size++;\n children = children.children\n ? this.getChild(children.children)\n : undefined;\n } while (children);\n return size;\n }","get length(): number {\n // Provide a mechanism for a class to set length on push for O(1) lookup\n if (this.__length) {\n return this.__length;\n }\n\n return this._length(this.root);\n }","size() {\n return this.nodes.length;\n }","function heapWeight(i) {\n return weights[heap[i]]\n }","extractMax() {\n\t\tconst max = this.heap[0];\n\t\tconst tmp = this.heap.pop();\n\t\tif (!this.empty()) {\n\t\t\tthis.heap[0] = tmp;\n\t\t\tthis.sinkDown(0);\n\t\t}\n\t\treturn max;\n\t}","get length() {\n if (this.isDynamic) {\n return this.placeholderContext.resolve(this.allocation.size);\n }\n else {\n return this.allocation.size;\n }\n }","function size() {\n out = 1;\n for (var dim in dimensions) {\n out *= dimensions[dim].members.length;\n }\n return out;\n }","min() {\n if (this.heap.length == 0)\n throw Error(\"Heap is empty\");\n\n return this.heap[0];\n }","get size() {\n\t\treturn this._l;\n\t}","get size() {\n\t\treturn this._l;\n\t}","get size() {\n\t\treturn this._l;\n\t}","function BinaryHeap() {\n this.array = [];\n }","size() {\n return this._size;\n }","size() {\n let len = 0;\n let runner = this.head;\n\n while (runner) {\n len += 1;\n runner = runner.next;\n }\n return len;\n }","get totalSize() {\n return this.length + (this.current ? 1 : 0);\n }","size() {\n return this._size;\n }","size() {\n return this._size;\n }","size() {\n return this._size;\n }","size() {\n let current = this.head;\n let counter = 0;\n while (current) {\n counter++;\n current = current.next;\n }\n return counter;\n }","get length() {\n return stack.length;\n }","size() {\n let count = 0;\n let node = this.head;\n while (node) {\n count++;\n node = node.both.next;\n }\n return count;\n }","function heap(a, lo, hi) {\n\t var n = hi - lo,\n\t i = (n >>> 1) + 1;\n\t while (--i > 0) sift(a, i, n, lo);\n\t return a;\n\t }","function maxHeapBuild(arr) {\n if (arr.length <= 1) return;\n createHeap(arr, arr.length);\n return arr;\n}","size() {\n let output = 0;\n this.traverse((currentNode) => {\n output++;\n });\n return output;\n }","function PriorityQueue() {\n this.heap = [];\n this.size = 0;\n}"],"string":"[\n \"size() {\\n\\t\\treturn this.heap.length;\\n\\t}\",\n \"getHeap() {\\r\\n\\t\\treturn this.heap;\\r\\n\\t}\",\n \"getHeap() {\\r\\n\\t\\treturn this.heap;\\r\\n\\t}\",\n \"get size() {\\n let size = 0;\\n for (let i = 0; i < this.children.length; i++)\\n size += this.children[i].size;\\n return size;\\n }\",\n \"function size() {\\r\\n var counter = 0;\\r\\n for (var i = 0; i < this.PriorityQueueContents.length; i++) {\\r\\n counter += this.PriorityQueueContents[i].ids.length;\\r\\n }\\r\\n return counter;\\r\\n }\",\n \"function size() {\\n\\t return n;\\n\\t }\",\n \"function size() {\\n return n;\\n }\",\n \"size() {\\n return Math.abs(this.tail - this.head);\\n }\",\n \"function size() {\\n return stack_size;\\n }\",\n \"function heapisEmpty() {\\n return this.size == 0 ? true : false;\\n}\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"size() {\\n return this.rootNode.size(this.storage);\\n }\",\n \"buildMaxHeap() {}\",\n \"function getSize(){\\n return queue.length;\\n }\",\n \"function size(node) {\\n return node.size ? node.size : 1;\\n }\",\n \"size() {\\n return this.tail - this.head;\\n }\",\n \"function size(self) {\\n return self.size();\\n}\",\n \"get size() {}\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"size() {\\n return this.stack.length;\\n }\",\n \"childCount() {\\n\\t\\tif (!this.state()) { return 0 }\\n\\n\\t\\tif (this[_size] === undefined) {\\n\\t\\t\\tthis[_size] = Object.keys(this.state()).length;\\n\\t\\t}\\n\\n\\t\\treturn this[_size];\\n\\t}\",\n \"function GetSize() : int\\n\\t{\\n\\t\\tvar n = 0;\\n\\t\\tfor( var i = 0; i < key2down.length; i++ )\\n\\t\\t{\\n\\t\\t\\tif( key2down[i] )\\n\\t\\t\\t\\tn++;\\n\\t\\t}\\n\\t\\treturn n;\\n\\t}\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"constructor(){\\n this.heap = [];\\n this.count = 0;\\n }\",\n \"constructor(){\\n this.heap = [];\\n this.count = 0;\\n }\",\n \"function Heap()\\n{\\n\\t// h[0] not used, heap initially empty\\n\\n\\tthis.h = [null]; // heap of integer keys\\n\\tthis.h_item = [null]; // corresponding heap of data-items (any object)\\n\\tthis.size = 0; // 1 smaller than array (also index of last child)\\n\\n\\n\\t// --------------------\\n\\t// PQ-required only; more could be added later when needed\\n\\t// the 2 basic shape maintaining operations heapify and reheapify simplify\\n\\t// processing functions\\n\\n\\tthis.isEmpty = heapisEmpty; // return true if heap empty\\n\\tthis.deleteRoot = heapDeleteRoot; // return data-item in root\\n\\tthis.insert = heapInsert; // insert data-item with key\\n\\n\\tthis.heapify = heapheapify; // make subtree heap; top-down heapify (\\\"sink\\\") used by .deleteRoot()\\n\\tthis.reheapify = heapreheapify; // bottom-up reheapify (\\\"swim\\\") used by .insert()\\n\\tthis.show = heapShow; \\t // utility: return pretty formatted heap as string\\n\\t \\t // ... etc\\n\\n\\t// --------------------\\n}\",\n \"function size(x) {\\n if (x === null || x == undefined) return 0;\\n return x.size;\\n }\",\n \"size() {\\n let count = 0;\\n let node = this.head; // Declare a node variable initialize to this.head\\n // While the node exist\\n while (node) {\\n count++; // Increment count variable\\n node = node.next; // reinitialize node to next node (if node.next is null the loop will break)\\n }\\n return count; // return count (which is the size)\\n }\",\n \"get size() {\\n return this._queue.size;\\n }\",\n \"get size() {\\n return this._queue.size;\\n }\",\n \"size(){\\n return this.rear-this.front + 1;\\n }\",\n \"function heapShow()\\n{\\n\\tvar n = this.size;\\n\\tvar m = Math.floor(n/2); // last parent node\\n\\n\\tvar k = this.h.slice(1,n+1), a = this.h_item.slice(1,n+1);\\n\\n\\tvar out=\\\"<h2>Heap (size=\\\"+ n+ \\\"):</h2><p>Keys: \\\" + k + \\\"<br>Data: \\\"+ a + \\\"</p>\\\";\\n\\tfor (var i=1; i<=m; i++)\\n\\t{\\n\\t\\tout += \\\"<p>\\\"+ i+ \\\": <b>\\\"+ this.h[i]+ \\\"(\\\"+ this.h_item[i]+ \\\")</b><ul>\\\";\\n\\t\\tif ( 2*i <= n )\\n\\t\\t\\tout += \\\"<li>\\\"+ this.h[2*i]+ \\\"</li>\\\";\\n\\t\\tif ( 2*i+1 <= n )\\n\\t\\t\\tout+= \\\"<li>\\\"+ this.h[2*i+1]+ \\\"</li>\\\";\\n\\t\\tout+= \\\"</ul></p>\\\";\\n\\t}\\n\\n\\treturn out;\\n}\",\n \"size() {\\n return this.queue.size();\\n }\",\n \"function heapUp(i) {\\n\\t var w = heapWeight(i)\\n\\t while(i > 0) {\\n\\t var parent = heapParent(i)\\n\\t if(parent >= 0) {\\n\\t var pw = heapWeight(parent)\\n\\t if(w < pw) {\\n\\t heapSwap(i, parent)\\n\\t i = parent\\n\\t continue\\n\\t }\\n\\t }\\n\\t return i\\n\\t }\\n\\t }\",\n \"function heapUp(i) {\\n\\t var w = heapWeight(i)\\n\\t while(i > 0) {\\n\\t var parent = heapParent(i)\\n\\t if(parent >= 0) {\\n\\t var pw = heapWeight(parent)\\n\\t if(w < pw) {\\n\\t heapSwap(i, parent)\\n\\t i = parent\\n\\t continue\\n\\t }\\n\\t }\\n\\t return i\\n\\t }\\n\\t }\",\n \"heapify() {\\n\\t\\t// last index is one less than the size\\n\\t\\tlet index = this.size() - 1;\\n\\n\\t\\t/*\\n Property of ith element in binary heap - \\n left child is at = (2*i)th position\\n right child is at = (2*i+1)th position\\n parent is at = floor(i/2)th position\\n */\\n\\n\\t\\t// converting entire array into heap from behind to front\\n\\t\\t// just like heapify function to create it MAX HEAP\\n\\t\\twhile (index > 0) {\\n\\t\\t\\t// pull out element from the array and find parent element\\n\\t\\t\\tlet element = this.heap[index],\\n\\t\\t\\t\\tparentIndex = Math.floor((index - 1) / 2),\\n\\t\\t\\t\\tparent = this.heap[parentIndex];\\n\\n\\t\\t\\t// if parent is greater or equal, its already a heap hence break\\n\\t\\t\\tif (parent[0] >= element[0]) break;\\n\\t\\t\\t// else swap the values as we're creating a max heap\\n\\t\\t\\tthis.heap[index] = parent;\\n\\t\\t\\tthis.heap[parentIndex] = element;\\n\\t\\t\\tindex = parentIndex;\\n\\t\\t}\\n\\t}\",\n \"function MinHeap() {\\n\\n /**\\n * Insert an item into the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} x\\n */\\n this.insert = function(x) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:)\\n *\\n * @return{number}\\n */\\n this.peek = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Remove and return the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.pop = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the size of the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.size = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Convert the heap data into a string\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{string}\\n */\\n MinHeap.prototype.toString = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /*\\n * The following are some optional helper methods. These are not required\\n * but may make your life easier\\n */\\n\\n /**\\n * Get the index of the parent node of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var parent = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the index of the left child of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var leftChild = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Swap the values at 2 indices in our heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @param{number} j\\n */\\n var swap = function(i, j) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble up the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleUp = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble down the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleDown = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n}\",\n \"get nodeSize() {\\n return this.isLeaf ? 1 : 2 + this.content.size;\\n }\",\n \"queueSize() {\\n return this.queue.length\\n }\",\n \"size() {\\n let _size = node => node === null ? 0 : 1 + _size(node.left) + _size(node.right)\\n return _size(this.root)\\n }\",\n \"function heapDeleteRoot()\\n{\\n\\tif (!this.isEmpty()) { \\n\\t\\t// save root key and item pair\\n\\t\\tvar root = [ this.h[1], this.h_item[1] ]; \\n }\\n\\telse { //if heap is empty\\n\\t\\treturn \\\"The heap is empty\\\";\\n\\t}\\n\\t// ... complete\\n\\tthis.h_item[1] = this.h_item[this.size];\\n\\n this.h[1] = this.h[this.size];\\n this.heapify(1);\\n\\t\\n //decrease the heap size by 1 since we delete from it\\n this.size = this.size-1;\\n\\n\\treturn root;\\n}\",\n \"size () {\\n\\t\\tlet count = 0;\\n\\t\\tlet node = this.head;\\n\\n\\t\\twhile (node) {\\n\\t\\t\\tcount++;\\n\\t\\t\\tnode = node.next;\\n\\t\\t}\\n\\n\\t\\treturn count;\\n\\t}\",\n \"size () {\\n\\t\\tlet count = 0;\\n\\t\\tlet node = this.head;\\n\\n\\t\\twhile (node) {\\n\\t\\t\\tcount++;\\n\\t\\t\\tnode = node.next;\\n\\t\\t}\\n\\n\\t\\treturn count;\\n\\t}\",\n \"size () {\\n\\t\\tlet count = 0;\\n\\t\\tlet node = this.head;\\n\\n\\t\\twhile (node) {\\n\\t\\t\\tcount++;\\n\\t\\t\\tnode = node.next;\\n\\t\\t}\\n\\n\\t\\treturn count;\\n\\t}\",\n \"size() {\\n return this.root ? this.root.size() : 0;\\n }\",\n \"get size() {\\n if (this._available && this._available.length > 0) {\\n return this._available.length;\\n }\\n if (this._pending && this._pending.length > 0) {\\n return -this._pending.length;\\n }\\n return 0;\\n }\",\n \"function maxHeap(val, parentVal) {\\n return val > parentVal;\\n}\",\n \"get size() {\\n return this._queue.size;\\n }\",\n \"size() {\\n if (this.isEmpty()){\\n return 0;\\n }\\n\\n var size = 1;\\n var runner = this.head;\\n while (runner.next != null) {\\n runner = runner.next;\\n size ++;\\n }\\n return size;\\n }\",\n \"function MinHeap(){\\n\\tthis.maxIndex = -1;\\n\\tthis.arr = {};\\n}\",\n \"get size() {\\n return this.#queue.length;\\n }\",\n \"function heapWeight(i) {\\n\\t return weights[heap[i]]\\n\\t }\",\n \"function heapWeight(i) {\\n\\t return weights[heap[i]]\\n\\t }\",\n \"size(arr){\\n var count = 0;\\n while(this.data !== []){\\n count++;\\n this.pop;\\n }\\n return count;\\n }\",\n \"function size() {\\n\\t return k;\\n\\t }\",\n \"get freeSize() {\\n\\t\\treturn this._free.length;\\n\\t}\",\n \"function size() {\\n return k;\\n }\",\n \"function Heap(){\\n this.heap = [];\\n}\",\n \"capacity() {\\n return (this.arr.length);\\n }\",\n \"function heapUp(i) {\\n var w = heapWeight(i)\\n while(i > 0) {\\n var parent = heapParent(i)\\n if(parent >= 0) {\\n var pw = heapWeight(parent)\\n if(w < pw) {\\n heapSwap(i, parent)\\n i = parent\\n continue\\n }\\n }\\n return i\\n }\\n }\",\n \"size(){\\n return this.queue.length;\\n }\",\n \"sizeOf() {\\n return this.size;\\n }\",\n \"get size() {\\n // Return the quad count if if was cached\\n let size = this._size;\\n if (size !== null) return size;\\n\\n // Calculate the number of quads by counting to the deepest level\\n size = 0;\\n const graphs = this._graphs;\\n let subjects, subject;\\n for (const graphKey in graphs) for (const subjectKey in subjects = graphs[graphKey].subjects) for (const predicateKey in subject = subjects[subjectKey]) size += Object.keys(subject[predicateKey]).length;\\n return this._size = size;\\n }\",\n \"getSize() {\\n return this._node.__execute(() => this.element.getElementSize());\\n }\",\n \"get size() {\\n\\t\\treturn this._size;\\n\\t}\",\n \"function heapify (heap) {\\n // Get the parent idx of the last node\\n var start = iparent(heap.arr.length - 1)\\n while (start >= 0) {\\n siftDown(start, heap)\\n start -= 1\\n }\\n return heap\\n}\",\n \"get size() {\\n // Return the quad count if if was cached\\n var size = this._size;\\n if (size !== null) return size; // Calculate the number of quads by counting to the deepest level\\n\\n size = 0;\\n var graphs = this._graphs,\\n subjects,\\n subject;\\n\\n for (var graphKey in graphs) for (var subjectKey in subjects = graphs[graphKey].subjects) for (var predicateKey in subject = subjects[subjectKey]) size += Object.keys(subject[predicateKey]).length;\\n\\n return this._size = size;\\n }\",\n \"length() {\\n const queueLen = this.queue.length;\\n debug(`\\\\nLOG: There are total ${queueLen} data in the queue`);\\n return queueLen;\\n }\",\n \"get size() {\\n\\t\\treturn wm.get(this).size;\\n\\t}\",\n \"get fullQueueLength()\\n {\\n return this.insert - this.end;\\n }\",\n \"deleteMax() {\\n // recall that we have an empty position at the very front of the array, \\n // so an array length of 2 means there is only 1 item in the heap\\n\\n if (this.array.length === 1) return null;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if no nodes in tree, exit\\n\\n if (this.array.length === 2) return this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// edge case- if only 1 node in heap, just remove it (2 bec. null doesnt count)\\n\\n let max = this.array[1];\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// save reference to root value (max)\\n\\n this.array[1] = this.array.pop();\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t // remove last val in array (farthest right node in tree), and update root value with it\\n\\n this.siftDown(1);\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// continuoully swap the new root toward the back of the array to maintain maxHeap property\\n\\n return max;\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// return max value\\n }\",\n \"size() {\\n return this.sizeNum;\\n }\",\n \"insert(data) {\\r\\n\\t\\tconst size = this.heap.length;\\r\\n\\r\\n\\t\\tif (size === 0) {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tthis.heap.push(data);\\r\\n\\r\\n\\t\\t\\tfor (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {\\r\\n\\t\\t\\t\\tthis.maxHeapify(this.heap, this.heap.length, i);\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"nodeSize(node) {\\n let size = 1;\\n if (!node.children) {\\n return size;\\n }\\n let children = this.getChild(node.children);\\n do {\\n size++;\\n children = children.children\\n ? this.getChild(children.children)\\n : undefined;\\n } while (children);\\n return size;\\n }\",\n \"get length(): number {\\n // Provide a mechanism for a class to set length on push for O(1) lookup\\n if (this.__length) {\\n return this.__length;\\n }\\n\\n return this._length(this.root);\\n }\",\n \"size() {\\n return this.nodes.length;\\n }\",\n \"function heapWeight(i) {\\n return weights[heap[i]]\\n }\",\n \"extractMax() {\\n\\t\\tconst max = this.heap[0];\\n\\t\\tconst tmp = this.heap.pop();\\n\\t\\tif (!this.empty()) {\\n\\t\\t\\tthis.heap[0] = tmp;\\n\\t\\t\\tthis.sinkDown(0);\\n\\t\\t}\\n\\t\\treturn max;\\n\\t}\",\n \"get length() {\\n if (this.isDynamic) {\\n return this.placeholderContext.resolve(this.allocation.size);\\n }\\n else {\\n return this.allocation.size;\\n }\\n }\",\n \"function size() {\\n out = 1;\\n for (var dim in dimensions) {\\n out *= dimensions[dim].members.length;\\n }\\n return out;\\n }\",\n \"min() {\\n if (this.heap.length == 0)\\n throw Error(\\\"Heap is empty\\\");\\n\\n return this.heap[0];\\n }\",\n \"get size() {\\n\\t\\treturn this._l;\\n\\t}\",\n \"get size() {\\n\\t\\treturn this._l;\\n\\t}\",\n \"get size() {\\n\\t\\treturn this._l;\\n\\t}\",\n \"function BinaryHeap() {\\n this.array = [];\\n }\",\n \"size() {\\n return this._size;\\n }\",\n \"size() {\\n let len = 0;\\n let runner = this.head;\\n\\n while (runner) {\\n len += 1;\\n runner = runner.next;\\n }\\n return len;\\n }\",\n \"get totalSize() {\\n return this.length + (this.current ? 1 : 0);\\n }\",\n \"size() {\\n return this._size;\\n }\",\n \"size() {\\n return this._size;\\n }\",\n \"size() {\\n return this._size;\\n }\",\n \"size() {\\n let current = this.head;\\n let counter = 0;\\n while (current) {\\n counter++;\\n current = current.next;\\n }\\n return counter;\\n }\",\n \"get length() {\\n return stack.length;\\n }\",\n \"size() {\\n let count = 0;\\n let node = this.head;\\n while (node) {\\n count++;\\n node = node.both.next;\\n }\\n return count;\\n }\",\n \"function heap(a, lo, hi) {\\n\\t var n = hi - lo,\\n\\t i = (n >>> 1) + 1;\\n\\t while (--i > 0) sift(a, i, n, lo);\\n\\t return a;\\n\\t }\",\n \"function maxHeapBuild(arr) {\\n if (arr.length <= 1) return;\\n createHeap(arr, arr.length);\\n return arr;\\n}\",\n \"size() {\\n let output = 0;\\n this.traverse((currentNode) => {\\n output++;\\n });\\n return output;\\n }\",\n \"function PriorityQueue() {\\n this.heap = [];\\n this.size = 0;\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8232244","0.6720662","0.6720662","0.6595036","0.658402","0.6490136","0.6471042","0.64250314","0.64119965","0.636866","0.6362219","0.6324369","0.6306118","0.6303182","0.62492096","0.62391216","0.62245953","0.6194299","0.61576664","0.61351967","0.6093203","0.6073549","0.6068318","0.6066446","0.60509115","0.60509115","0.6044252","0.60250926","0.6022354","0.5996662","0.5996662","0.5981068","0.5960992","0.5951613","0.5949226","0.5949226","0.59294534","0.5927446","0.5901933","0.5897896","0.5892234","0.5889457","0.58829445","0.58829445","0.58829445","0.58778924","0.58655727","0.5858132","0.5858066","0.5852464","0.5849926","0.58403015","0.58386457","0.58386457","0.58333224","0.5829525","0.5824754","0.58198714","0.5803857","0.5803326","0.5801384","0.58000076","0.5793527","0.57904786","0.5786135","0.5785781","0.5783159","0.5778058","0.57687664","0.57645595","0.57601124","0.5752751","0.57505625","0.57463336","0.5742516","0.5731611","0.57252204","0.5720252","0.57147026","0.5713739","0.5707602","0.5707021","0.57069993","0.57069993","0.57069993","0.5706811","0.5698575","0.5665368","0.56546897","0.5653796","0.5653796","0.5653796","0.5647185","0.56469357","0.5644176","0.5642494","0.5636589","0.5623665","0.56152385"],"string":"[\n \"0.8232244\",\n \"0.6720662\",\n \"0.6720662\",\n \"0.6595036\",\n \"0.658402\",\n \"0.6490136\",\n \"0.6471042\",\n \"0.64250314\",\n \"0.64119965\",\n \"0.636866\",\n \"0.6362219\",\n \"0.6324369\",\n \"0.6306118\",\n \"0.6303182\",\n \"0.62492096\",\n \"0.62391216\",\n \"0.62245953\",\n \"0.6194299\",\n \"0.61576664\",\n \"0.61351967\",\n \"0.6093203\",\n \"0.6073549\",\n \"0.6068318\",\n \"0.6066446\",\n \"0.60509115\",\n \"0.60509115\",\n \"0.6044252\",\n \"0.60250926\",\n \"0.6022354\",\n \"0.5996662\",\n \"0.5996662\",\n \"0.5981068\",\n \"0.5960992\",\n \"0.5951613\",\n \"0.5949226\",\n \"0.5949226\",\n \"0.59294534\",\n \"0.5927446\",\n \"0.5901933\",\n \"0.5897896\",\n \"0.5892234\",\n \"0.5889457\",\n \"0.58829445\",\n \"0.58829445\",\n \"0.58829445\",\n \"0.58778924\",\n \"0.58655727\",\n \"0.5858132\",\n \"0.5858066\",\n \"0.5852464\",\n \"0.5849926\",\n \"0.58403015\",\n \"0.58386457\",\n \"0.58386457\",\n \"0.58333224\",\n \"0.5829525\",\n \"0.5824754\",\n \"0.58198714\",\n \"0.5803857\",\n \"0.5803326\",\n \"0.5801384\",\n \"0.58000076\",\n \"0.5793527\",\n \"0.57904786\",\n \"0.5786135\",\n \"0.5785781\",\n \"0.5783159\",\n \"0.5778058\",\n \"0.57687664\",\n \"0.57645595\",\n \"0.57601124\",\n \"0.5752751\",\n \"0.57505625\",\n \"0.57463336\",\n \"0.5742516\",\n \"0.5731611\",\n \"0.57252204\",\n \"0.5720252\",\n \"0.57147026\",\n \"0.5713739\",\n \"0.5707602\",\n \"0.5707021\",\n \"0.57069993\",\n \"0.57069993\",\n \"0.57069993\",\n \"0.5706811\",\n \"0.5698575\",\n \"0.5665368\",\n \"0.56546897\",\n \"0.5653796\",\n \"0.5653796\",\n \"0.5653796\",\n \"0.5647185\",\n \"0.56469357\",\n \"0.5644176\",\n \"0.5642494\",\n \"0.5636589\",\n \"0.5623665\",\n \"0.56152385\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.8241832"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":185,"cells":{"query":{"kind":"string","value":"check if the heap is empty"},"document":{"kind":"string","value":"isEmpty() {\r\n\t\treturn this.heap.length === 0;\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function heapisEmpty() {\n return this.size == 0 ? true : false;\n}","isEmpty() {\n return !this.heapContainer.length;\n }","function isEmpty() {\n return this.top === 0;\n}","heapHasIndex(index){\r\n if(index>=0 && index<this.heapContainer.length)\r\n return true;\r\n \r\n return false;\r\n }","checkEmpty () {\n if (this.front === 0 && this.rear === 0) {\n return true\n }\n }","function isEmpty(){\n return (queue.length === 0);\n }","isEmpty() {\n return this.top === null;\n }","isEmpty() {\n if (this.top === null){\n return true;\n } else {\n return false;\n }\n }","get empty() {\n if(this.children.length === 0) {\n return true\n } else {\n return false\n }\n }","queueIsFull() {\n return this.queue.length >= this.maxSize\n }","isEmpty() {\n if (this._storage.head === null) {\n return true;\n }\n return false;\n }","isEmpty() {\n return this.front == -1;\n }","isEmpty() {\n if (this.queue.length) {\n return false;\n }\n return true;\n }","function isEmptyQ(queue){\n queue.first === null;\n\n const currNode = queue.first;\n\n if(!currNode){\n // is empty!\n return true;\n } else {\n // not empty!\n return false;\n }\n}","empty(){\r\n return this.size == 0;\r\n }","isEmpty()\n {\n if(this.front===null)\n return true;\n else\n return false;\n }","isEmpty(){\n return (this.rear +1 === this.front);\n }","empty(){ return this.stack.length === 0; }","isEmpty() {\n return this.queue.size() === 0;\n }","isEmpty() {\n\t\treturn this.size === 0;\n\t}","isEmpty() {\n return _size == 0;\n }","isEmpty() {\n return this.items.length === 0; // return true if the queue is empty.\n }","isEmpty() {\n return this._size === 0;\n }","isEmpty () {\n return Boolean(this.queue.length === 0)\n }","isEmpty() {\n return this.head === -1;\n }","isFull() {\n return ((this.tail + 1) % this.size) === this.head;\n }","function boardHasEmptySpaces() {\n let $emptySpaces = emptyBoardSpaceElements();\n return $emptySpaces.length > 0;\n}","function isEmpty() {\n if (stack_top === -1) {\n return true;\n }\n return false;\n }","isEmpty() {\n console.log(this.size === 0);\n }","isEmpty() {\n return (this._size === 0);\n }","isEmpty() {\n return this.size === 0;\n }","isEmpty() {\n return this.size === 0;\n }","isEmpty() {\n return this.size === 0;\n }","isEmpty() {\n return this.size === 0;\n }","isEmpty() {\n return this.size === 0;\n }","isEmpty() {\r\n\t\treturn this.size == 0;\r\n\t}","size() {\r\n\t\treturn this.heap.length;\r\n\t}","size() {\r\n\t\treturn this.heap.length;\r\n\t}","size() {\n\t\treturn this.heap.length;\n\t}","isEmpty() {\r\n\t\treturn size() == 0;\r\n\t}","isEmpty() {\n if (this.Size > 0) {\n return true;\n }\n return false;\n }","isFull() {\n if (this.front == 0 && this.rear == this.size - 1 || (this.rear + 1 == this.front)) {\n return true;\n }\n return false;\n }","isEmpty() { \n return this.size == 0; \n }","isEmpty(){ return this.size == 0; }","isEmpty(){\n if(!this.head){\n console.log('Stack is empty');\n }\n }","isEmpty() \n { \n return this.size == 0; \n }","isEmpty() {\n return this.head === null;\n }","isEmpty() {\n return this.head === null;\n }","checkEmptyStack(numstack)\n {\n return (this.posting[numstack-1].length===0 || this.posting[numstack-1].length===null)\n }","function isEmpty(stack) {\n return !stack.top;\n}","function isEmpty(stack) {\n return !stack.top;\n}","function isEmpty(stack) {\n return stack.length == 0\n}","isEmpty() {\n return this.size == 0;\n }","function isStackEmpty(stack){\n return !(stack.length>0);\n }","function isStackEmpty()\r\n{\r\n\tif (this.intIndex == 0)\r\n\t\treturn true;\r\n\telse\r\n\t\treturn false;\r\n}","isEmpty() {\n try {\n const diff = this._head - this._length\n if(diff >= 0) {\n this._revertToOriginal()\n }\n return diff >= 0 ? true : false\n } catch(err) {\n throw new Error(err)\n }\n }","isEmpty() {\n return this.head == null;\n }","isEmpty() {\n\t\tif (this.head == null) {\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","isEmpty() {\n\t\tif (this.head == null) {\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","function _isStackEmpty()\n {\n if (this.intIndex == 0)\n return true;\n else\n return false;\n }","isEmpty(){\n return this.size==0;\n }","isEmpty(){\n let top = this.peek();\n return top == null || top == \"\";\n }","empty () { return this.length === 0 }","isEmpty() {\n if (this.head == null && this.tail == null){\n return true;\n }\n else {\n return false;\n }\n }","function isStackEmpty()\n{\n\tif (this.intIndex == 0)\n\t\treturn true;\n\telse\n\t\treturn false;\n}","get empty() {return !this._p.size;}","isEmpty(){\r\n return this.head === null;\r\n }","isFull() {\n return this.length() === this.capacity;\n }","isEmpty() {\n return this.storage.length === 0;\n }","isEmpty() {\n return !this.front;\n }","function isEmpty(stack) {\n return stack.length === 0;\n}","function isEmpty() {\n return N === 0;\n }","isEmpty() {\n return this.vertexCount === 0;\n }","isEmpty(){\n return (this.size === 0); \n }","get isEmpty() {\n return this.#queue.length === 0;\n }","isEmpty() {\n if (this.head) {\n return true;\n } else {\n return false;\n }\n }","isEmpty() {\n if (this.head) {\n return true;\n } else {\n return false;\n }\n }","get empty() {\n return this._head.next === this._tail;\n }","isEmpty() {\n return this.catQueue.isEmpty() && this.dogQueue.isEmpty();\n }","isEmpty() {\n return (this.elements > 0) ? false : true;\n }","isEmpty() {\n return (this.elements > 0) ? false : true;\n }","isEmpty() {\n if (this.#size == 0) {\n return true;\n } else {\n return false;\n }\n }","isEmpty(){\n if(this.head == null){\n return true;\n }\n else{\n return false;\n }\n }","isEmpty() {\n if (this.size == 0) {\n return true;\n }\n return false;\n }","isFull() {\n return (this.lastIndex === (this.capacity() - 1));\n }","isEmpty() {\n \n if (this.head == null){\n return true\n }\n else {\n return false\n }\n\n }","isEmpty() {\n return this.head ? false : true\n }","isEmpty() {\n if (this.head == this.tail) return true;\n return false;\n }","empty() {\n\t\tif (this.size() === 0) {\n\t\t\treturn true;\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t}","isEmpty() {\n if (this.stack1.length == 0 && this.stack2.length == 0 ) {\n console.log(\"The two stack queue is empty.\");\n return true, this;\n }\n else {\n console.log(\"The two stack queue is not empty.\");\n return false, this;\n }\n }","function isBoardFull(){\n let board = $box.map((index, currBox) => {\n let $currBox = $(currBox);\n return isEmpty($currBox);\n });\n return !board.get().includes(true);\n }","isFull() {\n return (this.tail + 1) % this.capacty == this.head\n }","isEmpty()\r\n {\r\n if(this.getSize() === 0){\r\n return true;\r\n } else {\r\n return false;\r\n }\r\n }","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","isFull(){\n if(this.maxSize){\n return this.size() === this.maxSize;\n }\n else{\n return false;\n }\n }","isEmpty () {\n return this.queued.length === 0 && this.active.length === 0\n }","isEmpty() {\n return 0 == this.q.length;\n }","empty() { return this.m == 0; }","isEmpty(){\n return this.count - this.lowestCount === 0;\n }"],"string":"[\n \"function heapisEmpty() {\\n return this.size == 0 ? true : false;\\n}\",\n \"isEmpty() {\\n return !this.heapContainer.length;\\n }\",\n \"function isEmpty() {\\n return this.top === 0;\\n}\",\n \"heapHasIndex(index){\\r\\n if(index>=0 && index<this.heapContainer.length)\\r\\n return true;\\r\\n \\r\\n return false;\\r\\n }\",\n \"checkEmpty () {\\n if (this.front === 0 && this.rear === 0) {\\n return true\\n }\\n }\",\n \"function isEmpty(){\\n return (queue.length === 0);\\n }\",\n \"isEmpty() {\\n return this.top === null;\\n }\",\n \"isEmpty() {\\n if (this.top === null){\\n return true;\\n } else {\\n return false;\\n }\\n }\",\n \"get empty() {\\n if(this.children.length === 0) {\\n return true\\n } else {\\n return false\\n }\\n }\",\n \"queueIsFull() {\\n return this.queue.length >= this.maxSize\\n }\",\n \"isEmpty() {\\n if (this._storage.head === null) {\\n return true;\\n }\\n return false;\\n }\",\n \"isEmpty() {\\n return this.front == -1;\\n }\",\n \"isEmpty() {\\n if (this.queue.length) {\\n return false;\\n }\\n return true;\\n }\",\n \"function isEmptyQ(queue){\\n queue.first === null;\\n\\n const currNode = queue.first;\\n\\n if(!currNode){\\n // is empty!\\n return true;\\n } else {\\n // not empty!\\n return false;\\n }\\n}\",\n \"empty(){\\r\\n return this.size == 0;\\r\\n }\",\n \"isEmpty()\\n {\\n if(this.front===null)\\n return true;\\n else\\n return false;\\n }\",\n \"isEmpty(){\\n return (this.rear +1 === this.front);\\n }\",\n \"empty(){ return this.stack.length === 0; }\",\n \"isEmpty() {\\n return this.queue.size() === 0;\\n }\",\n \"isEmpty() {\\n\\t\\treturn this.size === 0;\\n\\t}\",\n \"isEmpty() {\\n return _size == 0;\\n }\",\n \"isEmpty() {\\n return this.items.length === 0; // return true if the queue is empty.\\n }\",\n \"isEmpty() {\\n return this._size === 0;\\n }\",\n \"isEmpty () {\\n return Boolean(this.queue.length === 0)\\n }\",\n \"isEmpty() {\\n return this.head === -1;\\n }\",\n \"isFull() {\\n return ((this.tail + 1) % this.size) === this.head;\\n }\",\n \"function boardHasEmptySpaces() {\\n let $emptySpaces = emptyBoardSpaceElements();\\n return $emptySpaces.length > 0;\\n}\",\n \"function isEmpty() {\\n if (stack_top === -1) {\\n return true;\\n }\\n return false;\\n }\",\n \"isEmpty() {\\n console.log(this.size === 0);\\n }\",\n \"isEmpty() {\\n return (this._size === 0);\\n }\",\n \"isEmpty() {\\n return this.size === 0;\\n }\",\n \"isEmpty() {\\n return this.size === 0;\\n }\",\n \"isEmpty() {\\n return this.size === 0;\\n }\",\n \"isEmpty() {\\n return this.size === 0;\\n }\",\n \"isEmpty() {\\n return this.size === 0;\\n }\",\n \"isEmpty() {\\r\\n\\t\\treturn this.size == 0;\\r\\n\\t}\",\n \"size() {\\r\\n\\t\\treturn this.heap.length;\\r\\n\\t}\",\n \"size() {\\r\\n\\t\\treturn this.heap.length;\\r\\n\\t}\",\n \"size() {\\n\\t\\treturn this.heap.length;\\n\\t}\",\n \"isEmpty() {\\r\\n\\t\\treturn size() == 0;\\r\\n\\t}\",\n \"isEmpty() {\\n if (this.Size > 0) {\\n return true;\\n }\\n return false;\\n }\",\n \"isFull() {\\n if (this.front == 0 && this.rear == this.size - 1 || (this.rear + 1 == this.front)) {\\n return true;\\n }\\n return false;\\n }\",\n \"isEmpty() { \\n return this.size == 0; \\n }\",\n \"isEmpty(){ return this.size == 0; }\",\n \"isEmpty(){\\n if(!this.head){\\n console.log('Stack is empty');\\n }\\n }\",\n \"isEmpty() \\n { \\n return this.size == 0; \\n }\",\n \"isEmpty() {\\n return this.head === null;\\n }\",\n \"isEmpty() {\\n return this.head === null;\\n }\",\n \"checkEmptyStack(numstack)\\n {\\n return (this.posting[numstack-1].length===0 || this.posting[numstack-1].length===null)\\n }\",\n \"function isEmpty(stack) {\\n return !stack.top;\\n}\",\n \"function isEmpty(stack) {\\n return !stack.top;\\n}\",\n \"function isEmpty(stack) {\\n return stack.length == 0\\n}\",\n \"isEmpty() {\\n return this.size == 0;\\n }\",\n \"function isStackEmpty(stack){\\n return !(stack.length>0);\\n }\",\n \"function isStackEmpty()\\r\\n{\\r\\n\\tif (this.intIndex == 0)\\r\\n\\t\\treturn true;\\r\\n\\telse\\r\\n\\t\\treturn false;\\r\\n}\",\n \"isEmpty() {\\n try {\\n const diff = this._head - this._length\\n if(diff >= 0) {\\n this._revertToOriginal()\\n }\\n return diff >= 0 ? true : false\\n } catch(err) {\\n throw new Error(err)\\n }\\n }\",\n \"isEmpty() {\\n return this.head == null;\\n }\",\n \"isEmpty() {\\n\\t\\tif (this.head == null) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"isEmpty() {\\n\\t\\tif (this.head == null) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"function _isStackEmpty()\\n {\\n if (this.intIndex == 0)\\n return true;\\n else\\n return false;\\n }\",\n \"isEmpty(){\\n return this.size==0;\\n }\",\n \"isEmpty(){\\n let top = this.peek();\\n return top == null || top == \\\"\\\";\\n }\",\n \"empty () { return this.length === 0 }\",\n \"isEmpty() {\\n if (this.head == null && this.tail == null){\\n return true;\\n }\\n else {\\n return false;\\n }\\n }\",\n \"function isStackEmpty()\\n{\\n\\tif (this.intIndex == 0)\\n\\t\\treturn true;\\n\\telse\\n\\t\\treturn false;\\n}\",\n \"get empty() {return !this._p.size;}\",\n \"isEmpty(){\\r\\n return this.head === null;\\r\\n }\",\n \"isFull() {\\n return this.length() === this.capacity;\\n }\",\n \"isEmpty() {\\n return this.storage.length === 0;\\n }\",\n \"isEmpty() {\\n return !this.front;\\n }\",\n \"function isEmpty(stack) {\\n return stack.length === 0;\\n}\",\n \"function isEmpty() {\\n return N === 0;\\n }\",\n \"isEmpty() {\\n return this.vertexCount === 0;\\n }\",\n \"isEmpty(){\\n return (this.size === 0); \\n }\",\n \"get isEmpty() {\\n return this.#queue.length === 0;\\n }\",\n \"isEmpty() {\\n if (this.head) {\\n return true;\\n } else {\\n return false;\\n }\\n }\",\n \"isEmpty() {\\n if (this.head) {\\n return true;\\n } else {\\n return false;\\n }\\n }\",\n \"get empty() {\\n return this._head.next === this._tail;\\n }\",\n \"isEmpty() {\\n return this.catQueue.isEmpty() && this.dogQueue.isEmpty();\\n }\",\n \"isEmpty() {\\n return (this.elements > 0) ? false : true;\\n }\",\n \"isEmpty() {\\n return (this.elements > 0) ? false : true;\\n }\",\n \"isEmpty() {\\n if (this.#size == 0) {\\n return true;\\n } else {\\n return false;\\n }\\n }\",\n \"isEmpty(){\\n if(this.head == null){\\n return true;\\n }\\n else{\\n return false;\\n }\\n }\",\n \"isEmpty() {\\n if (this.size == 0) {\\n return true;\\n }\\n return false;\\n }\",\n \"isFull() {\\n return (this.lastIndex === (this.capacity() - 1));\\n }\",\n \"isEmpty() {\\n \\n if (this.head == null){\\n return true\\n }\\n else {\\n return false\\n }\\n\\n }\",\n \"isEmpty() {\\n return this.head ? false : true\\n }\",\n \"isEmpty() {\\n if (this.head == this.tail) return true;\\n return false;\\n }\",\n \"empty() {\\n\\t\\tif (this.size() === 0) {\\n\\t\\t\\treturn true;\\n\\t\\t} else {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t}\",\n \"isEmpty() {\\n if (this.stack1.length == 0 && this.stack2.length == 0 ) {\\n console.log(\\\"The two stack queue is empty.\\\");\\n return true, this;\\n }\\n else {\\n console.log(\\\"The two stack queue is not empty.\\\");\\n return false, this;\\n }\\n }\",\n \"function isBoardFull(){\\n let board = $box.map((index, currBox) => {\\n let $currBox = $(currBox);\\n return isEmpty($currBox);\\n });\\n return !board.get().includes(true);\\n }\",\n \"isFull() {\\n return (this.tail + 1) % this.capacty == this.head\\n }\",\n \"isEmpty()\\r\\n {\\r\\n if(this.getSize() === 0){\\r\\n return true;\\r\\n } else {\\r\\n return false;\\r\\n }\\r\\n }\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"isFull(){\\n if(this.maxSize){\\n return this.size() === this.maxSize;\\n }\\n else{\\n return false;\\n }\\n }\",\n \"isEmpty () {\\n return this.queued.length === 0 && this.active.length === 0\\n }\",\n \"isEmpty() {\\n return 0 == this.q.length;\\n }\",\n \"empty() { return this.m == 0; }\",\n \"isEmpty(){\\n return this.count - this.lowestCount === 0;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.6229515\",\n \"0.6229515\",\n \"0.6220916\",\n \"0.621215\",\n \"0.62019014\",\n \"0.61948025\",\n \"0.6193371\",\n \"0.6190803\",\n \"0.6188068\",\n \"0.61837274\",\n \"0.61815184\",\n \"0.61794376\",\n \"0.6178325\",\n \"0.61730874\",\n \"0.61690986\",\n \"0.6166842\",\n \"0.6165227\",\n \"0.615763\",\n \"0.6155618\",\n \"0.6155618\",\n \"0.6153883\",\n \"0.61406285\",\n \"0.61314684\",\n \"0.61314684\",\n \"0.612108\",\n \"0.6113774\",\n \"0.6112227\",\n \"0.6110725\",\n \"0.6094651\",\n \"0.60880136\",\n \"0.60770077\",\n \"0.6069082\",\n \"0.60665673\",\n \"0.60651433\",\n \"0.60649663\",\n \"0.60495555\",\n \"0.604129\",\n \"0.6039117\",\n \"0.60211825\",\n \"0.60201937\",\n \"0.5993393\",\n \"0.5983102\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.82852596"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":186,"cells":{"query":{"kind":"string","value":"returns the heap structure"},"document":{"kind":"string","value":"getHeap() {\r\n\t\treturn this.heap;\r\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function Heap()\n{\n\t// h[0] not used, heap initially empty\n\n\tthis.h = [null]; // heap of integer keys\n\tthis.h_item = [null]; // corresponding heap of data-items (any object)\n\tthis.size = 0; // 1 smaller than array (also index of last child)\n\n\n\t// --------------------\n\t// PQ-required only; more could be added later when needed\n\t// the 2 basic shape maintaining operations heapify and reheapify simplify\n\t// processing functions\n\n\tthis.isEmpty = heapisEmpty; // return true if heap empty\n\tthis.deleteRoot = heapDeleteRoot; // return data-item in root\n\tthis.insert = heapInsert; // insert data-item with key\n\n\tthis.heapify = heapheapify; // make subtree heap; top-down heapify (\"sink\") used by .deleteRoot()\n\tthis.reheapify = heapreheapify; // bottom-up reheapify (\"swim\") used by .insert()\n\tthis.show = heapShow; \t // utility: return pretty formatted heap as string\n\t \t // ... etc\n\n\t// --------------------\n}","function heapShow()\n{\n\tvar n = this.size;\n\tvar m = Math.floor(n/2); // last parent node\n\n\tvar k = this.h.slice(1,n+1), a = this.h_item.slice(1,n+1);\n\n\tvar out=\"<h2>Heap (size=\"+ n+ \"):</h2><p>Keys: \" + k + \"<br>Data: \"+ a + \"</p>\";\n\tfor (var i=1; i<=m; i++)\n\t{\n\t\tout += \"<p>\"+ i+ \": <b>\"+ this.h[i]+ \"(\"+ this.h_item[i]+ \")</b><ul>\";\n\t\tif ( 2*i <= n )\n\t\t\tout += \"<li>\"+ this.h[2*i]+ \"</li>\";\n\t\tif ( 2*i+1 <= n )\n\t\t\tout+= \"<li>\"+ this.h[2*i+1]+ \"</li>\";\n\t\tout+= \"</ul></p>\";\n\t}\n\n\treturn out;\n}","function Heap(){\n this.heap = [];\n}","function Heap(type) {\n var heapBuf = utils.expandoBuffer(Int32Array),\n indexBuf = utils.expandoBuffer(Int32Array),\n heavierThan = type == 'max' ? lessThan : greaterThan,\n itemsInHeap = 0,\n dataArr,\n heapArr,\n indexArr;\n\n this.init = function(values) {\n var i;\n dataArr = values;\n itemsInHeap = values.length;\n heapArr = heapBuf(itemsInHeap);\n indexArr = indexBuf(itemsInHeap);\n for (i=0; i<itemsInHeap; i++) {\n insertValue(i, i);\n }\n // place non-leaf items\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\n downHeap(i);\n }\n };\n\n this.size = function() {\n return itemsInHeap;\n };\n\n // Update a single value and re-heap\n this.updateValue = function(valIdx, val) {\n var heapIdx = indexArr[valIdx];\n dataArr[valIdx] = val;\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\n error(\"Out-of-range heap index.\");\n }\n downHeap(upHeap(heapIdx));\n };\n\n this.popValue = function() {\n return dataArr[this.pop()];\n };\n\n this.getValue = function(idx) {\n return dataArr[idx];\n };\n\n this.peek = function() {\n return heapArr[0];\n };\n\n this.peekValue = function() {\n return dataArr[heapArr[0]];\n };\n\n // Return the idx of the lowest-value item in the heap\n this.pop = function() {\n var popIdx;\n if (itemsInHeap <= 0) {\n error(\"Tried to pop from an empty heap.\");\n }\n popIdx = heapArr[0];\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\n downHeap(0);\n return popIdx;\n };\n\n function upHeap(idx) {\n var parentIdx;\n // Move item up in the heap until it's at the top or is not lighter than its parent\n while (idx > 0) {\n parentIdx = (idx - 1) >> 1;\n if (heavierThan(idx, parentIdx)) {\n break;\n }\n swapItems(idx, parentIdx);\n idx = parentIdx;\n }\n return idx;\n }\n\n // Swap item at @idx with any lighter children\n function downHeap(idx) {\n var minIdx = compareDown(idx);\n\n while (minIdx > idx) {\n swapItems(idx, minIdx);\n idx = minIdx; // descend in the heap\n minIdx = compareDown(idx);\n }\n }\n\n function swapItems(a, b) {\n var i = heapArr[a];\n insertValue(a, heapArr[b]);\n insertValue(b, i);\n }\n\n // Associate a heap idx with the index of a value in data arr\n function insertValue(heapIdx, valId) {\n indexArr[valId] = heapIdx;\n heapArr[heapIdx] = valId;\n }\n\n // comparator for Visvalingam min heap\n // @a, @b: Indexes in @heapArr\n function greaterThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b],\n val1 = dataArr[idx1],\n val2 = dataArr[idx2];\n // If values are equal, compare array indexes.\n // This is not a requirement of the Visvalingam algorithm,\n // but it generates output that matches Mahes Visvalingam's\n // reference implementation.\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\n }\n\n // comparator for max heap\n function lessThan(a, b) {\n var idx1 = heapArr[a],\n idx2 = heapArr[b];\n return dataArr[idx1] < dataArr[idx2];\n }\n\n function compareDown(idx) {\n var a = 2 * idx + 1,\n b = a + 1,\n n = itemsInHeap;\n if (a < n && heavierThan(idx, a)) {\n idx = a;\n }\n if (b < n && heavierThan(idx, b)) {\n idx = b;\n }\n return idx;\n }\n }","function heapreheapify() {\n\n var node = this.size; // set the size to heap\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\n\n var i = pn; // set new varibale and get value pn.\n while(i >= 1)\n {\n var key = i;\n var v = this.h[key];\n var v2 = this.h_item[key];\n var heap = false; // here intitalize heap with boolean value false\n\n for (var j = 2 * key; !heap && 2 * key <= node;)\n {\n if (j < node)\n {\n if (this.h[j] < this.h[j + 1]) {\n j += 1;\n } // end the inner if\n } // end the outer if\n\n\n if (v >= this.h[j])\n {\n heap = true;\n } // end if\n else\n {\n this.h_item[key] = this.h_item[j];\n this.h[key] = this.h[j];\n key = j;\n } // end wlse\n\n this.h[key] = v;\n this.h_item[key] = v2;\n }\n i = i-1; // here decreese the number in each iteration\n } // end while\n}","heapify() {\n\t\t// last index is one less than the size\n\t\tlet index = this.size() - 1;\n\n\t\t/*\n Property of ith element in binary heap - \n left child is at = (2*i)th position\n right child is at = (2*i+1)th position\n parent is at = floor(i/2)th position\n */\n\n\t\t// converting entire array into heap from behind to front\n\t\t// just like heapify function to create it MAX HEAP\n\t\twhile (index > 0) {\n\t\t\t// pull out element from the array and find parent element\n\t\t\tlet element = this.heap[index],\n\t\t\t\tparentIndex = Math.floor((index - 1) / 2),\n\t\t\t\tparent = this.heap[parentIndex];\n\n\t\t\t// if parent is greater or equal, its already a heap hence break\n\t\t\tif (parent[0] >= element[0]) break;\n\t\t\t// else swap the values as we're creating a max heap\n\t\t\tthis.heap[index] = parent;\n\t\t\tthis.heap[parentIndex] = element;\n\t\t\tindex = parentIndex;\n\t\t}\n\t}","function BinaryHeap() {\n this.array = [];\n }","getRoot() {\n if(this.heap_size <= 0) {\n console.log(\"Heap underflow\");\n return null;\n }\n return this.harr[0];\n }","constructor(){\n this.heap = [];\n this.count = 0;\n }","constructor(){\n this.heap = [];\n this.count = 0;\n }","function BinaryHeap() {\n this.nodes = [];\n}","function heapDeleteRoot()\n{\n\tif (!this.isEmpty()) { \n\t\t// save root key and item pair\n\t\tvar root = [ this.h[1], this.h_item[1] ]; \n }\n\telse { //if heap is empty\n\t\treturn \"The heap is empty\";\n\t}\n\t// ... complete\n\tthis.h_item[1] = this.h_item[this.size];\n\n this.h[1] = this.h[this.size];\n this.heapify(1);\n\t\n //decrease the heap size by 1 since we delete from it\n this.size = this.size-1;\n\n\treturn root;\n}","function minheap_extract(heap) {\n swap(heap,0,heap.length - 1);\n var to_pop = heap.pop();\n var parent = 0;\n var child = parent * 2 + 1;\n while(child < heap.length){\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\n child = child + 1;\n }\n if(heap[child] < heap[parent]){\n swap(heap,child,parent);\n parent = child;\n child = parent * 2 + 1; \n }\n else{\n break;\n }\n }\n return to_pop;\n // STENCIL: implement your min binary heap extract operation\n}","function MinHeap(){\n\tthis.maxIndex = -1;\n\tthis.arr = {};\n}","constructor() {\n\t\tthis.heap = [];\n\t}","function heapify (heap) {\n // Get the parent idx of the last node\n var start = iparent(heap.arr.length - 1)\n while (start >= 0) {\n siftDown(start, heap)\n start -= 1\n }\n return heap\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function h$HeapSet() {\n this._keys = [];\n this._prios = [];\n this._vals = [];\n this._size = 0;\n}","function setupHeap(lists) {\n var heap = new MinHeap();\n for (var i = 0; i < lists.length; i++) {\n var node = new ListNode(lists[i][0], lists[i][1]);\n heap.insert(node);\n }\n return heap;\n}","static heapInMemory() {\n return this.inMemory(function () {\n return new Heap();\n }, (heap) => {\n return heap.array;\n }, (array) => {\n return new Heap(array);\n });\n }","buildMaxHeap() {}","toString() {\n return this.heapContainer.toString();\n }","getHead() {\n return this.maxheap[1]\n }","function make_heap_obj(node1_id, node2_id, weight) {\n return [node1_id, node2_id, weight];\n }","function Heap(key) {\n this._array = [];\n this._key = key || function (x) { return x; };\n}","function MinHeap() {\n\n /**\n * Insert an item into the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} x\n */\n this.insert = function(x) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:)\n *\n * @return{number}\n */\n this.peek = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Remove and return the smallest value in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.pop = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the size of the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{number}\n */\n this.size = function() {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Convert the heap data into a string\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @return{string}\n */\n MinHeap.prototype.toString = function() {\n // INSERT YOUR CODE HERE\n }\n\n /*\n * The following are some optional helper methods. These are not required\n * but may make your life easier\n */\n\n /**\n * Get the index of the parent node of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var parent = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Get the index of the left child of a given index\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @return{number}\n */\n var leftChild = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Swap the values at 2 indices in our heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n * @param{number} j\n */\n var swap = function(i, j) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble up the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleUp = function(i) {\n // INSERT YOUR CODE HERE\n }\n\n /**\n * Starting at index i, bubble down the value until it is at the correct\n * position in the heap\n *\n * Time Complexity:\n * Space Complexity:\n *\n * @param{number} i\n */\n var bubbleDown = function(i) {\n // INSERT YOUR CODE HERE\n }\n}","allocateHeap(hexData) {\n let addr = \"H\" + this.heapLength++; //Create placeholder address\n this.heap[addr] = { data: hexData, loc: \"\" };\n return addr;\n }","function displayHeap() {\n for (var i = 0; i < arr.length; i++) {\n if (arr[i].father == arr[i]) {\n arr[i].x = width / 2;\n arr[i].y = 100;\n }\n else {\n if (arr[i] == arr[i].father.leftson)\n arr[i].x = arr[i].father.x - arr[i].father.gap;\n else if (arr[i] == arr[i].father.rightson)\n arr[i].x = arr[i].father.x + arr[i].father.gap;\n\n arr[i].y = arr[i].father.y + 50;\n }\n }\n\n for (var ii = 0; ii < arr.length; ii++)\n arr[ii].edge = new edge(arr[ii]);\n}","function makeHeap(){\n\n //add a node to a heap and set it to current\n if(makeHeapStep == 1){\n heapAddNode();\n return;\n }else if(makeHeapStep == 2){ //Swim the node up if needed\n\n //We are at the start of the heap. No more swimming possible\n if(currentHeapPosition == 0){\n setNodeOneHeap();\n heapSwimStep = 1;\n \n \n return;\n }\n\n if(heapSwimStep == 1){ //set the parent Node\n heapSetParent();\n }else if(heapSwimStep == 2){ //compare to the parent Node\n if(orderArray[currentHeapPosition] > orderArray[heapParentIndex]){ //we must swap\n heapSwapWithParent();\n }else{ //do not swap. Node is now in the heap proper\n setToHeap();\n }\n \n heapSwimStep = 1;\n }\n }\n\n //sorting is now done\n if(heapSize == numNodes){\n doneMakingHeap = true;\n heapOldPosition = -1;\n addStep(\"The heap is now complete.\");\n }\n}","function minheap_extract(heap) \n{\n var PrintE;\n PrintE = heap[0];\n heap[0] = heap[heap.length - 1];\n\n var a,large;\n var temp = heap.pop();\n for (a=0;a<heap.length;a=large)\n {\n if (2*a+2>heap.length)\n {break;}\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\n {\n if (heap[a]>heap[2*a+2])\n {\n temp = heap [a];\n heap[a] = heap[2*a+2];\n heap[2*a+2] = temp; \n large = 2*a+2; \n }\n else\n {break;}\n }\n else\n {\n if (heap[a]>heap[2*a+1])\n {\n temp = heap [2*a+1];\n heap[2*a+1] = heap[a];\n heap[a] = temp; \n large = 2*a+1;\n }\n else\n {break;}\n }\n }\n return PrintE;\n}","function BinaryHeap(scoreFunction){\n this.content = [];\n this.scoreFunction = scoreFunction;\n}","function BinaryHeap(scoreFunction){\n this.content = [];\n this.scoreFunction = scoreFunction;\n}","function buildHeap(arr, type) {\n // gets the last index\n var lastIndex = arr.length - 1;\n // While the last index is greater than 0\n while (lastIndex > 0) {\n // get the parent index\n var parentIndex = Math.floor((lastIndex - 1) / 2);\n // get the items inside the parent\n // and the last index \n var lastItem = arr[lastIndex];\n var parentItem = arr[parentIndex];\n\n if (type === 'maxHeap') {\n // checks to see if the lastItem is greater\n // than the parentItem if so then do a swap\n if (lastItem > parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n else if (type === 'minHeap') {\n // checks to see if the lastItem is less\n // than the parentItem if so then do a swap\n if (lastItem < parentItem) {\n // replaces item at parentIndex with\n // last item and do the same for the\n // lastIndex\n arr[parentIndex] = lastItem;\n arr[lastIndex] = parentItem;\n\n // Keeps track of the lastItem that was\n // inserted by changing the lastIndex \n // to be the parentIndex which is \n // currently where the lastItem is located\n lastIndex = parentIndex;\n }\n else {\n break;\n }\n }\n\n }\n }","function heap(a, lo, hi) {\n\t var n = hi - lo,\n\t i = (n >>> 1) + 1;\n\t while (--i > 0) sift(a, i, n, lo);\n\t return a;\n\t }","function BinaryHeap(scoreFunction) {\r\n this.content = [];\r\n this.scoreFunction = scoreFunction;\r\n}","function minheap_extract(heap) {\n var min = heap[0];\n heap[0] = heap.pop();\n var index = 0;\n while(true){\n var child1 = (index+1)*2;\n var child2 = child1 -1;\n var toSwap = null;\n if(heap[index] > heap[child1]){\n toSwap = child1;\n }\n if(heap[index] > heap[child2] &&\n (heap[child1] == null || (heap[child1] !== null && heap[child2] < heap[child1]))){\n toSwap = child2;\n }\n if(toSwap == null){\n break;\n }\n var temp = heap[toSwap];\n heap[toSwap] = heap[index];\n heap[index] = temp;\n index = toSwap;\n }\n return min;\n // STENCIL: implement your min binary heap extract operation\n}","buildHeap(left, right) {\r\n var x = this.values[left];\r\n var i = left;\r\n\r\n while(true) {\r\n let j = 2 * i;\r\n if (j > right) break;\r\n if ((j < right) && (Item.compare(this.values[j + 1], this.values[j]) >= 0)) {\r\n j++;\r\n }\r\n\r\n if (Item.compare(x, this.values[j]) >= 0) break;\r\n let temp = this.values[i];\r\n this.values[i] = this.values[j];\r\n this.values[j] = temp;\r\n\r\n this.values[i].selected = true;\r\n this.printStorage.pushTimedPrint(this.values);\r\n this.values[i].selected = false;\r\n i = j;\r\n }\r\n\r\n this.values[i] = x;\r\n\r\n this.values[i].selected = true;\r\n this.printStorage.pushTimedPrint(this.values);\r\n this.values[i].selected = false;\r\n }","function BinaryHeap(scoreFunction){\n this.content = [];\n this.scoreFunction = scoreFunction;\n}","function BinaryHeap(options) {\n options = options || {};\n\n this._elements = options.elements || [];\n this._score = options.score || this._score;\n}","buildHeap(array) {\n const firstParentIdx = Math.floor((array.length - 2) / 2);\n for (let currentIdx = firstParentIdx; currentIdx >= 0; currentIdx--) {\n this.siftDown(currentIdx, array.length - 1, array);\n }\n return array;\n }","size() {\r\n\t\treturn this.heap.length;\r\n\t}","size() {\r\n\t\treturn this.heap.length;\r\n\t}","function SimpleHeap(f) {\n var data = [];\n\n // By default just use standard comparison\n var compareFunc = f;\n if (!compareFunc) {\n compareFunc = function(a,b) {\n if (a < b) return -1;\n return 1;\n }\n }\n\n this.insert = function(x) {\n data.push(x);\n data.sort(compareFunc);\n }\n\n this.pop = function() {\n return data.pop();\n }\n\n this.peek = function() {\n return data[data.length - 1];\n }\n\n this.size = function() {\n return data.length;\n }\n\n SimpleHeap.prototype.toString = function() {\n return data.toString();\n }\n}","function PriorityQueue() {\n this.heap = [];\n this.size = 0;\n}","size() {\n\t\treturn this.heap.length;\n\t}","function buildHeap(A) {\n var n = A.length;\n for (var i = n/2 - 1; i >= 0; i--) {\n heapify(A, i, n);\n }\n}","extractMax(){\n // bubble down\n // swap first and last element.\n // then pop\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\n // console.log(element + ' removed from the heap');\n this.values.pop();\n let index = 0;\n while(true){\n // compare with both the children and swap with the larger one.\n let leftParent = 2 * index + 1;\n let rightParent = 2 * index + 2;\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\n if(this.values[leftParent] > this.values[rightParent]){\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent;\n\n }\n else if(this.values[rightParent] > this.values[leftParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent;\n }\n else {\n if(this.values[rightParent]){\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\n index = rightParent\n }\n else {\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\n index = leftParent\n }\n \n };\n }\n else return;\n }\n }","function heapSort(inputArr){\n var heap = new Heap;\n for(i=0; i<inputArr.length; i++){\n heap.add(inputArr[i])\n }\n var outputArr = []\n for(i=0; i<inputArr.length; i++){\n outputArr.push(heap.remove())\n }\n console.log(outputArr)\n return outputArr\n}","function heapSort(arr){\n var sorted = [];\n var heap1 = new MaxHeap();\n \n for(let i=0; i<arr.length; i++){\n heap1.insert(arr[i]);\n }\n \n for(let i=0; i<arr.length; i++){\n sorted.push(heap1.delete());\n }\n return sorted;\n}","function maxHeapBuild(arr) {\n if (arr.length <= 1) return;\n createHeap(arr, arr.length);\n return arr;\n}","function heap(a, lo, hi) {\n var n = hi - lo,\n i = (n >>> 1) + 1;\n while (--i > 0) sift(a, i, n, lo);\n return a;\n }","function maxHeapify(arr){\n\n}","get HEAP8() {\n return libzip_1.default.HEAP8;\n }","peek() {\n return this.heap[0];\n }","delete() {\n // implement delete\n // only delete if the heap has elements\n if (this.heap.length > 0) {\n // save the smallest element\n let smallest = this.heap[0];\n // swap the last element in the heap whatever it is \n this.heap[0] = this.heap[this.heap.length -1];\n this.heap.pop();\n this.minHeapifyDown(0, this.heap);\n return smallest;\n }\n }","min() {\n return this.heap[1];\n }","function heapSort(array){\n // 1: Construction\n let heap = new MaxHeap()\n array.forEach(ele => {\n heap.insert(ele)\n });\n\n// 2: sortdown \n let sorted = []\n while (heap.array.length > 1){\n sorted.push(heap.deleteMax())\n }\n return sorted\n}","function startHeap(){\n makeHeapStep = 1;\n numHeapNodes = 1;\n orderArray = getOrder();\n console.log(orderArray);\n heapSize = 0; \n heapStarted = true;\n heapSwimStep = 1;\n heapOldPosition = -1;\n doneMakingHeap = false;\n sortHeapStep = 1;\n heapSinkStep = 1\n}","function Heap(size) {\n this.size = size;\n // A map of size classes per chunk (see above).\n this._sizeMap = {};\n this._buffer = new Buffer(size);\n this._remaining = size; // the whole thing is available.\n this._offset = 0; // start of the buffer.\n // Initialize the freelists.\n this._freeLists = new Array(Heap._numSizeClasses);\n for (var i = 0; i < Heap._numSizeClasses; i++) {\n this._freeLists[i] = [];\n }\n }","function heapAddNode(){\n setClass(nodes[heapSize], 2, \"Current\"); //set the first Node to the heap\n currentHeapPosition = heapSize;\n addStep(\"Add Node \" + (heapSize + 1) + \" to the heap and set it to \\\"current\\\".\");\n makeHeapStep = 2;\n}","min() {\n if (this.heap.length == 0)\n throw Error(\"Heap is empty\");\n\n return this.heap[0];\n }","function generateHeapCellHtml(row){\n var cellDisplayState = 'display:none;';\n if (isMemberRowExpanded[row.diskStoreUUID]) {\n cellDisplayState = 'display:block;';\n }\n\n var heapHtml = \"NA\";\n var heapStorageHtml = \"NA\";\n var heapExecutionHtml = \"NA\";\n\n if(row.memberType.toUpperCase() !== \"LOCATOR\"){\n var heapUsed = convertSizeToHumanReadable(row.heapMemoryUsed);\n var heapSize = convertSizeToHumanReadable(row.heapMemorySize);\n heapHtml = heapUsed[0] + \" \" + heapUsed[1]\n + \" / \" + heapSize[0] + \" \" + heapSize[1];\n var heapStorageUsed = convertSizeToHumanReadable(row.heapStoragePoolUsed);\n var heapStorageSize = convertSizeToHumanReadable(row.heapStoragePoolSize);\n heapStorageHtml = heapStorageUsed[0] + \" \" + heapStorageUsed[1]\n + \" / \" + heapStorageSize[0] + \" \" + heapStorageSize[1];\n var heapExecutionUsed = convertSizeToHumanReadable(row.heapExecutionPoolUsed);\n var heapExecutionSize = convertSizeToHumanReadable(row.heapExecutionPoolSize);\n heapExecutionHtml = heapExecutionUsed[0] + \" \" + heapExecutionUsed[1]\n + \" / \" + heapExecutionSize[0] + \" \" + heapExecutionSize[1];\n }\n var jvmHeapUsed = convertSizeToHumanReadable(row.usedMemory);\n var jvmHeapSize = convertSizeToHumanReadable(row.totalMemory);\n var jvmHeapHtml = jvmHeapUsed[0] + \" \" + jvmHeapUsed[1]\n + \" / \" + jvmHeapSize[0] + \" \" + jvmHeapSize[1];\n\n var heapCellHtml =\n '<div style=\"width: 95%; float: left; padding-right:10px;'\n + 'text-align:right;\">' + heapHtml\n + '</div>'\n + '<div class=\"cellDetailsBox\" id=\"'+ row.diskStoreUUID + '-heap\" '\n + 'style=\"width: 90%; ' + cellDisplayState + '\">'\n + '<span><strong>JVM Heap:</strong>'\n + '<br>' + jvmHeapHtml\n + '<br><strong>Storage Memory:</strong>'\n + '<br>' + heapStorageHtml\n + '<br><strong>Execution Memory:</strong>'\n + '<br>' + heapExecutionHtml\n + '</span>'\n + '</div>';\n return heapCellHtml;\n}","remove() {\n if (this.heap.length < 2) {\n return this.heap.pop(); //easy\n }\n\n const removed = this.heap[0]; // save to return later\n this.heap[0] = this.heap.pop(); // replace with last el\n\n let currentIdx = 0;\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n let currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n // right if heap[right].priority >= heap[left].priority, else left\n // index of max(left.priority, right.priority)\n\n while (\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\n ) {\n let currentNode = this.heap[currentIdx];\n let currentChildNode = this.heap[currentChildIdx];\n\n // swap parent & max child\n\n this.heap[currentChildIdx] = currentNode;\n this.heap[currentIdx] = currentChildNode;\n\n\n // update pointers\n currentIdx = currentChildIdx;\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\n currentChildIdx = (\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\n );\n }\n\n return removed;\n }","poll() {\r\n let rootElement = null;\r\n if (this.isEmpty()) {\r\n rootElement = null;\r\n } else if (this.hasSingleElement()) {\r\n rootElement = this.heapContainer.pop();\r\n } else { \r\n rootElement = this.heapContainer[0];\r\n this.heapContainer[0] = this.heapContainer.pop();\r\n this.heapifyDown();\r\n }\r\n \r\n return rootElement;\r\n }","function heapify(arr) {\n if (arr.length < 1) return arr\n for (let i = arr.length - 1; i >= 0; i--) {\n minHeapify(arr, i)\n }\n return arr\n}","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","remove() {\n if (this.heap.length === 0) {\n return null;\n }\n const item = this.heap[0];\n this.heap[0] = this.heap[this.heap.length - 1];\n this.heap.pop();\n this.heapifyDown();\n return item;\n }","function heap(compareFunction, array = []) {\n const data = array;\n const heapSort = ()=>{data.sort(compareFunction)};\n const add = function (node) {\n data.push(node);\n heapSort();\n };\n\n const remove = function () {\n const node = data.shift();\n return node;\n };\n\n const empty = function () {\n return data.length === 0;\n };\n const updateItems = function () {\n heapSort();\n };\n return {\n data: data,\n add: add,\n remove: remove,\n empty: empty,\n update: updateItems,\n };\n}","peek() {\n return (this.heap.length) ? this.heap[0] : null;\n }","function heapifyStandart(currentIndex, heapSize ,arr){\n\n var largestElement = currentIndex\n var leftIndex = 2 * currentIndex + 1\n var rightIndex = 2 * currentIndex + 2\n\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\n largestElement = leftIndex\n }\n \n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\n largestElement = rightIndex\n }\n\n if (largestElement != currentIndex){\n swapArrayElement(currentIndex, largestElement, arr)\n heapifyStandart(largestElement, heapSize, arr)\n }\n}","function _main()\n{\n\nvar heap = new Heap();\n //operation sequence from the Figure :\n var ListOfSequence = [\n\t\t{KEY: 2, Vlaue: \"a\"},\n\t\t{KEY: 9, Vlaue: \"b\"},\n\t\t{KEY: 7, Vlaue: \"c\"},\n\t\t{KEY: 6, Vlaue: \"d\"},\n\t\t{KEY: 5, Vlaue: \"e\"},\n\t\t{KEY: 8, Vlaue: \"f\"}];\n\n\tfor (var i = 0; i < ListOfSequence.length; i++) {\n\t\theap.insert(ListOfSequence[i].KEY , ListOfSequence[i].Vlaue);\n\t}\n document.write(heap.show());\n heap.insert(10, \"g\");\n document.write(heap.show());\n heap.insert(15, \"h\");\n document.write(heap.show());\n\n\n // set input graph properties then implement the graph\n var g = new Graph();\n g.label = \"Exercise 9.2: 1b (Levitin, 3rd edition)\";\n g.readGraph(_v, _e);\n g.printGraph();\n\n\n\n\n/** print output of first prim------------------------------------------------*/\n\n document.write('<br>MST by first Prim<br>');\n\n g.primImpl1();\n for (var i = 0; i < g.Prim_Edge.length; i++) {\n document.write(\"(\", g.Prim_Edge[i].v, \",\", g.Prim_Edge[i].u, \")\");\n \tg.Prim_Edge.length-1 == i ? document.write(\".<p>\") : document.write(\", \");\n\t}\n\n/**print output of second prim---------------------------------------*/\n\ndocument.write(\"<br>MST by Prim2 (PQ-Heap): <br>\");\n g.primImpl2();\n\n for (var n = 0; n < g.verticesTree.length; n++) {\n if (g.verticesTree[n].parent != null) {\n document.write(\"(\", g.verticesTree[n].parent, \",\", g.verticesTree[n].V, \")\");\n g.Prim_Edge.length-1 == i ? document.write(\".<p>\") : document.write(\", \");\n } else if (g.verticesTree[n].parent == null) {\n document.write(\"(-, \", g.verticesTree[n].tree, \"), \");\n }\n }\n\n}","function heapSort(array){\n let heapify = new MinHeap;\n let sortedArray = [];\n let length = array.length;\n\n for(let i = 0; i < length; i++){\n heapify.add(array.pop());\n }\n\n for(let j = 0; j < length; j++){\n sortedArray.push(heapify.extract());\n }\n\n return sortedArray;\n}","function build_initial_heap(ast) {\n var state = {heap: {}, stack: [{}], next: 0, dump: [], heapinfo: {}, user_types: {}};\n var decls = ast[\"decls\"];\n\n _(decls).map(function(n) {\n return compileDecl[n[\"node\"]](n, state);\n });\n\n return state;\n }","function minheap_insert(heap, new_element) {\n var length = heap.push(new_element);\n var child = length - 1;\n var parent = (child + child%2)/2 - 1;\n while(parent >= 0 && heap[child] < heap[parent]){\n swap(heap,parent,child);\n child = parent;\n parent = (child + child%2)/2 - 1;\n }\n // STENCIL: implement your min binary heap insert operation\n}","static buildMaxHeap(a) {\n a.heap_size = a.length;\n\n // Max-heapify the first n/2 elements as\n // they are tree nodes, and the remaining are\n // usually tree leaves\n let mid = parseInt(a.length / 2);\n for (let i = mid; i >= 0; i -= 1) {\n Heap.maxHeapify(a, i);\n }\n }","function extractMin(heap) {\n if (heap.length < 1) return null\n // swap first and last element\n let temp = heap[0]\n heap[0] = heap[heap.length-1]\n heap[heap.length-1] = temp\n\n const result = heap.pop()\n minHeapify(heap, 0)\n return result\n}","function heapSortV2(array) {\n\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\n heapify(array, array.length, i); // array length not really used for this part\n }\n\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \"delete\" max val until heap region is \"empty\"\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\n\n console.log(array);\n\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\n }\n\n return array;\n}","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","function minheap_insert(heap, new_element) {\n heap.push(new_element);\n var index = heap.length - 1;\n while(index > 0){\n var parent = Math.floor((index+1)/2)-1;\n if(heap[parent] > new_element){\n var temp = heap[parent];\n heap[parent] = new_element;\n heap[index] = temp;\n }\n index = parent;\n }\n // STENCIL: implement your min binary heap insert operation\n}","function FibonacciHeap() {\n if (!(this instanceof FibonacciHeap)) {\n throw new SyntaxError('Constructor must be called with the new operator');\n } // initialize fields\n\n\n this._minimum = null;\n this._size = 0;\n }","function FibonacciHeap() {\n if (!(this instanceof FibonacciHeap)) {\n throw new SyntaxError('Constructor must be called with the new operator');\n } // initialize fields\n\n\n this._minimum = null;\n this._size = 0;\n }","function heapify(arr,comp){\r\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\r\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\r\n // Restore the heap property for i\r\n siftDown(arr, comp, i);\r\n }\r\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\r\n}","function MaxHeap(array){\r\n Heap.call(this, array);\r\n \r\n // Build-max-heap method: produces a max-heap from an unordered input array\r\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\r\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\r\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\r\n this.floatDownElementOfIndex(i)\r\n }\r\n}","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","heapify() {\n if (this.size() < 2) return;\n for (let i = 1; i < this.size(); i++) {\n this.bubbleUp(i);\n }\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","poll(){\n if(this.length()==1)return this.heap.pop()\n\n let result=this.heap[0]\n this.heap[0]=this.heap.pop()\n this.bubbleDown(0)\n return result\n }","function heapWeight(i) {\n\t return weights[heap[i]]\n\t }","function heapWeight(i) {\n\t return weights[heap[i]]\n\t }","heapifyDown(){\n let idx = 0,\n element = this.values[idx],\n swap,\n leftChildIdx,\n rightChildIdx,\n leftChild,\n rightChild;\n while (true){\n swap = null;\n leftChildIdx = (2 * idx) + 1;\n rightChildIdx = (2 * idx) + 2;\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\n swap = leftChildIdx\n }\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\n swap = rightChildIdx;\n }\n if (swap === null) break;\n this.values[idx] = this.values[swap];\n this.values[swap] = element;\n idx = swap; \n } \n }","heapify(currentParent) {\n let left = this.left(currentParent);\n let right = this.right(currentParent);\n let bestParent = currentParent;\n\n // looking for the best parent that fulfills the heap property for this node and it's children\n if (left < this.size && !this.validParent(left, bestParent)) {\n bestParent = left;\n }\n if (right < this.size && !this.validParent(right, bestParent)) {\n bestParent = right;\n }\n\n // if the current parent is not the best parent, we have some work to do\n if (currentParent != bestParent) {\n // swapping new parent with old parent\n let currentParentValue = this.heap[currentParent];\n this.heap[currentParent] = this.heap[bestParent];\n this.heap[bestParent] = currentParentValue;\n\n // set locations on the swap\n this.locations.set(this.hash(this.heap[bestParent]), bestParent);\n this.locations.set(this.hash(this.heap[currentParent]), currentParent);\n\n // recurse from the best parent's old position\n this.heapify(bestParent);\n }\n }","function pq_insert(heap, new_element) {\n var eIntIdx = heap.length;\n var prntIdx = Math.floor((eIntIdx - 1 ) / 2);\n heap.push(new_element);\n var heaped = (eIntIdx <= 0) || (heap[prntIdx].priority <= heap[eIntIdx]).priority;\n\n while(!heaped){\n var tmp = heap[prntIdx];\n heap[prntIdx] = heap[eIntIdx];\n heap[eIntIdx] = tmp;\n\n eIntIdx = prntIdx;\n prntIdx = Math.floor((eIntIdx - 1)/2);\n heaped = (eIntIdx <= 0) ||(heap[prntIdx].priority <= heap[eIntIdx].priority);\n }\n // STENCIL: implement your min binary heap insert operation\n}","function insert(maxHeap, value) {\n let currentIndex = maxHeap.length;\n let parent = Math.floor((currentIndex - 1) / 2);\n maxHeap.push(value);\n while (maxHeap[currentIndex] > maxHeap[parent]) {\n let temp = maxHeap[parent];\n maxHeap[parent] = maxHeap[currentIndex];\n maxHeap[currentIndex] = temp;\n currentIndex = parent;\n parent = Math.floor((currentIndex - 1) / 2);\n }\n return maxHeap;\n}"],"string":"[\n \"function Heap()\\n{\\n\\t// h[0] not used, heap initially empty\\n\\n\\tthis.h = [null]; // heap of integer keys\\n\\tthis.h_item = [null]; // corresponding heap of data-items (any object)\\n\\tthis.size = 0; // 1 smaller than array (also index of last child)\\n\\n\\n\\t// --------------------\\n\\t// PQ-required only; more could be added later when needed\\n\\t// the 2 basic shape maintaining operations heapify and reheapify simplify\\n\\t// processing functions\\n\\n\\tthis.isEmpty = heapisEmpty; // return true if heap empty\\n\\tthis.deleteRoot = heapDeleteRoot; // return data-item in root\\n\\tthis.insert = heapInsert; // insert data-item with key\\n\\n\\tthis.heapify = heapheapify; // make subtree heap; top-down heapify (\\\"sink\\\") used by .deleteRoot()\\n\\tthis.reheapify = heapreheapify; // bottom-up reheapify (\\\"swim\\\") used by .insert()\\n\\tthis.show = heapShow; \\t // utility: return pretty formatted heap as string\\n\\t \\t // ... etc\\n\\n\\t// --------------------\\n}\",\n \"function heapShow()\\n{\\n\\tvar n = this.size;\\n\\tvar m = Math.floor(n/2); // last parent node\\n\\n\\tvar k = this.h.slice(1,n+1), a = this.h_item.slice(1,n+1);\\n\\n\\tvar out=\\\"<h2>Heap (size=\\\"+ n+ \\\"):</h2><p>Keys: \\\" + k + \\\"<br>Data: \\\"+ a + \\\"</p>\\\";\\n\\tfor (var i=1; i<=m; i++)\\n\\t{\\n\\t\\tout += \\\"<p>\\\"+ i+ \\\": <b>\\\"+ this.h[i]+ \\\"(\\\"+ this.h_item[i]+ \\\")</b><ul>\\\";\\n\\t\\tif ( 2*i <= n )\\n\\t\\t\\tout += \\\"<li>\\\"+ this.h[2*i]+ \\\"</li>\\\";\\n\\t\\tif ( 2*i+1 <= n )\\n\\t\\t\\tout+= \\\"<li>\\\"+ this.h[2*i+1]+ \\\"</li>\\\";\\n\\t\\tout+= \\\"</ul></p>\\\";\\n\\t}\\n\\n\\treturn out;\\n}\",\n \"function Heap(){\\n this.heap = [];\\n}\",\n \"function Heap(type) {\\n var heapBuf = utils.expandoBuffer(Int32Array),\\n indexBuf = utils.expandoBuffer(Int32Array),\\n heavierThan = type == 'max' ? lessThan : greaterThan,\\n itemsInHeap = 0,\\n dataArr,\\n heapArr,\\n indexArr;\\n\\n this.init = function(values) {\\n var i;\\n dataArr = values;\\n itemsInHeap = values.length;\\n heapArr = heapBuf(itemsInHeap);\\n indexArr = indexBuf(itemsInHeap);\\n for (i=0; i<itemsInHeap; i++) {\\n insertValue(i, i);\\n }\\n // place non-leaf items\\n for (i=(itemsInHeap-2) >> 1; i >= 0; i--) {\\n downHeap(i);\\n }\\n };\\n\\n this.size = function() {\\n return itemsInHeap;\\n };\\n\\n // Update a single value and re-heap\\n this.updateValue = function(valIdx, val) {\\n var heapIdx = indexArr[valIdx];\\n dataArr[valIdx] = val;\\n if (!(heapIdx >= 0 && heapIdx < itemsInHeap)) {\\n error(\\\"Out-of-range heap index.\\\");\\n }\\n downHeap(upHeap(heapIdx));\\n };\\n\\n this.popValue = function() {\\n return dataArr[this.pop()];\\n };\\n\\n this.getValue = function(idx) {\\n return dataArr[idx];\\n };\\n\\n this.peek = function() {\\n return heapArr[0];\\n };\\n\\n this.peekValue = function() {\\n return dataArr[heapArr[0]];\\n };\\n\\n // Return the idx of the lowest-value item in the heap\\n this.pop = function() {\\n var popIdx;\\n if (itemsInHeap <= 0) {\\n error(\\\"Tried to pop from an empty heap.\\\");\\n }\\n popIdx = heapArr[0];\\n insertValue(0, heapArr[--itemsInHeap]); // move last item in heap into root position\\n downHeap(0);\\n return popIdx;\\n };\\n\\n function upHeap(idx) {\\n var parentIdx;\\n // Move item up in the heap until it's at the top or is not lighter than its parent\\n while (idx > 0) {\\n parentIdx = (idx - 1) >> 1;\\n if (heavierThan(idx, parentIdx)) {\\n break;\\n }\\n swapItems(idx, parentIdx);\\n idx = parentIdx;\\n }\\n return idx;\\n }\\n\\n // Swap item at @idx with any lighter children\\n function downHeap(idx) {\\n var minIdx = compareDown(idx);\\n\\n while (minIdx > idx) {\\n swapItems(idx, minIdx);\\n idx = minIdx; // descend in the heap\\n minIdx = compareDown(idx);\\n }\\n }\\n\\n function swapItems(a, b) {\\n var i = heapArr[a];\\n insertValue(a, heapArr[b]);\\n insertValue(b, i);\\n }\\n\\n // Associate a heap idx with the index of a value in data arr\\n function insertValue(heapIdx, valId) {\\n indexArr[valId] = heapIdx;\\n heapArr[heapIdx] = valId;\\n }\\n\\n // comparator for Visvalingam min heap\\n // @a, @b: Indexes in @heapArr\\n function greaterThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b],\\n val1 = dataArr[idx1],\\n val2 = dataArr[idx2];\\n // If values are equal, compare array indexes.\\n // This is not a requirement of the Visvalingam algorithm,\\n // but it generates output that matches Mahes Visvalingam's\\n // reference implementation.\\n // See https://hydra.hull.ac.uk/assets/hull:10874/content\\n return (val1 > val2 || val1 === val2 && idx1 > idx2);\\n }\\n\\n // comparator for max heap\\n function lessThan(a, b) {\\n var idx1 = heapArr[a],\\n idx2 = heapArr[b];\\n return dataArr[idx1] < dataArr[idx2];\\n }\\n\\n function compareDown(idx) {\\n var a = 2 * idx + 1,\\n b = a + 1,\\n n = itemsInHeap;\\n if (a < n && heavierThan(idx, a)) {\\n idx = a;\\n }\\n if (b < n && heavierThan(idx, b)) {\\n idx = b;\\n }\\n return idx;\\n }\\n }\",\n \"function heapreheapify() {\\n\\n var node = this.size; // set the size to heap\\n var pn = Math.floor(node/2); // use math floor to set last parent node to pn = parent node\\n\\n var i = pn; // set new varibale and get value pn.\\n while(i >= 1)\\n {\\n var key = i;\\n var v = this.h[key];\\n var v2 = this.h_item[key];\\n var heap = false; // here intitalize heap with boolean value false\\n\\n for (var j = 2 * key; !heap && 2 * key <= node;)\\n {\\n if (j < node)\\n {\\n if (this.h[j] < this.h[j + 1]) {\\n j += 1;\\n } // end the inner if\\n } // end the outer if\\n\\n\\n if (v >= this.h[j])\\n {\\n heap = true;\\n } // end if\\n else\\n {\\n this.h_item[key] = this.h_item[j];\\n this.h[key] = this.h[j];\\n key = j;\\n } // end wlse\\n\\n this.h[key] = v;\\n this.h_item[key] = v2;\\n }\\n i = i-1; // here decreese the number in each iteration\\n } // end while\\n}\",\n \"heapify() {\\n\\t\\t// last index is one less than the size\\n\\t\\tlet index = this.size() - 1;\\n\\n\\t\\t/*\\n Property of ith element in binary heap - \\n left child is at = (2*i)th position\\n right child is at = (2*i+1)th position\\n parent is at = floor(i/2)th position\\n */\\n\\n\\t\\t// converting entire array into heap from behind to front\\n\\t\\t// just like heapify function to create it MAX HEAP\\n\\t\\twhile (index > 0) {\\n\\t\\t\\t// pull out element from the array and find parent element\\n\\t\\t\\tlet element = this.heap[index],\\n\\t\\t\\t\\tparentIndex = Math.floor((index - 1) / 2),\\n\\t\\t\\t\\tparent = this.heap[parentIndex];\\n\\n\\t\\t\\t// if parent is greater or equal, its already a heap hence break\\n\\t\\t\\tif (parent[0] >= element[0]) break;\\n\\t\\t\\t// else swap the values as we're creating a max heap\\n\\t\\t\\tthis.heap[index] = parent;\\n\\t\\t\\tthis.heap[parentIndex] = element;\\n\\t\\t\\tindex = parentIndex;\\n\\t\\t}\\n\\t}\",\n \"function BinaryHeap() {\\n this.array = [];\\n }\",\n \"getRoot() {\\n if(this.heap_size <= 0) {\\n console.log(\\\"Heap underflow\\\");\\n return null;\\n }\\n return this.harr[0];\\n }\",\n \"constructor(){\\n this.heap = [];\\n this.count = 0;\\n }\",\n \"constructor(){\\n this.heap = [];\\n this.count = 0;\\n }\",\n \"function BinaryHeap() {\\n this.nodes = [];\\n}\",\n \"function heapDeleteRoot()\\n{\\n\\tif (!this.isEmpty()) { \\n\\t\\t// save root key and item pair\\n\\t\\tvar root = [ this.h[1], this.h_item[1] ]; \\n }\\n\\telse { //if heap is empty\\n\\t\\treturn \\\"The heap is empty\\\";\\n\\t}\\n\\t// ... complete\\n\\tthis.h_item[1] = this.h_item[this.size];\\n\\n this.h[1] = this.h[this.size];\\n this.heapify(1);\\n\\t\\n //decrease the heap size by 1 since we delete from it\\n this.size = this.size-1;\\n\\n\\treturn root;\\n}\",\n \"function minheap_extract(heap) {\\n swap(heap,0,heap.length - 1);\\n var to_pop = heap.pop();\\n var parent = 0;\\n var child = parent * 2 + 1;\\n while(child < heap.length){\\n if(child + 1 < heap.length && heap[child] > heap[child + 1]){\\n child = child + 1;\\n }\\n if(heap[child] < heap[parent]){\\n swap(heap,child,parent);\\n parent = child;\\n child = parent * 2 + 1; \\n }\\n else{\\n break;\\n }\\n }\\n return to_pop;\\n // STENCIL: implement your min binary heap extract operation\\n}\",\n \"function MinHeap(){\\n\\tthis.maxIndex = -1;\\n\\tthis.arr = {};\\n}\",\n \"constructor() {\\n\\t\\tthis.heap = [];\\n\\t}\",\n \"function heapify (heap) {\\n // Get the parent idx of the last node\\n var start = iparent(heap.arr.length - 1)\\n while (start >= 0) {\\n siftDown(start, heap)\\n start -= 1\\n }\\n return heap\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function h$HeapSet() {\\n this._keys = [];\\n this._prios = [];\\n this._vals = [];\\n this._size = 0;\\n}\",\n \"function setupHeap(lists) {\\n var heap = new MinHeap();\\n for (var i = 0; i < lists.length; i++) {\\n var node = new ListNode(lists[i][0], lists[i][1]);\\n heap.insert(node);\\n }\\n return heap;\\n}\",\n \"static heapInMemory() {\\n return this.inMemory(function () {\\n return new Heap();\\n }, (heap) => {\\n return heap.array;\\n }, (array) => {\\n return new Heap(array);\\n });\\n }\",\n \"buildMaxHeap() {}\",\n \"toString() {\\n return this.heapContainer.toString();\\n }\",\n \"getHead() {\\n return this.maxheap[1]\\n }\",\n \"function make_heap_obj(node1_id, node2_id, weight) {\\n return [node1_id, node2_id, weight];\\n }\",\n \"function Heap(key) {\\n this._array = [];\\n this._key = key || function (x) { return x; };\\n}\",\n \"function MinHeap() {\\n\\n /**\\n * Insert an item into the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} x\\n */\\n this.insert = function(x) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:)\\n *\\n * @return{number}\\n */\\n this.peek = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Remove and return the smallest value in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.pop = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the size of the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{number}\\n */\\n this.size = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Convert the heap data into a string\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @return{string}\\n */\\n MinHeap.prototype.toString = function() {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /*\\n * The following are some optional helper methods. These are not required\\n * but may make your life easier\\n */\\n\\n /**\\n * Get the index of the parent node of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var parent = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Get the index of the left child of a given index\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @return{number}\\n */\\n var leftChild = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Swap the values at 2 indices in our heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n * @param{number} j\\n */\\n var swap = function(i, j) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble up the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleUp = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n\\n /**\\n * Starting at index i, bubble down the value until it is at the correct\\n * position in the heap\\n *\\n * Time Complexity:\\n * Space Complexity:\\n *\\n * @param{number} i\\n */\\n var bubbleDown = function(i) {\\n // INSERT YOUR CODE HERE\\n }\\n}\",\n \"allocateHeap(hexData) {\\n let addr = \\\"H\\\" + this.heapLength++; //Create placeholder address\\n this.heap[addr] = { data: hexData, loc: \\\"\\\" };\\n return addr;\\n }\",\n \"function displayHeap() {\\n for (var i = 0; i < arr.length; i++) {\\n if (arr[i].father == arr[i]) {\\n arr[i].x = width / 2;\\n arr[i].y = 100;\\n }\\n else {\\n if (arr[i] == arr[i].father.leftson)\\n arr[i].x = arr[i].father.x - arr[i].father.gap;\\n else if (arr[i] == arr[i].father.rightson)\\n arr[i].x = arr[i].father.x + arr[i].father.gap;\\n\\n arr[i].y = arr[i].father.y + 50;\\n }\\n }\\n\\n for (var ii = 0; ii < arr.length; ii++)\\n arr[ii].edge = new edge(arr[ii]);\\n}\",\n \"function makeHeap(){\\n\\n //add a node to a heap and set it to current\\n if(makeHeapStep == 1){\\n heapAddNode();\\n return;\\n }else if(makeHeapStep == 2){ //Swim the node up if needed\\n\\n //We are at the start of the heap. No more swimming possible\\n if(currentHeapPosition == 0){\\n setNodeOneHeap();\\n heapSwimStep = 1;\\n \\n \\n return;\\n }\\n\\n if(heapSwimStep == 1){ //set the parent Node\\n heapSetParent();\\n }else if(heapSwimStep == 2){ //compare to the parent Node\\n if(orderArray[currentHeapPosition] > orderArray[heapParentIndex]){ //we must swap\\n heapSwapWithParent();\\n }else{ //do not swap. Node is now in the heap proper\\n setToHeap();\\n }\\n \\n heapSwimStep = 1;\\n }\\n }\\n\\n //sorting is now done\\n if(heapSize == numNodes){\\n doneMakingHeap = true;\\n heapOldPosition = -1;\\n addStep(\\\"The heap is now complete.\\\");\\n }\\n}\",\n \"function minheap_extract(heap) \\n{\\n var PrintE;\\n PrintE = heap[0];\\n heap[0] = heap[heap.length - 1];\\n\\n var a,large;\\n var temp = heap.pop();\\n for (a=0;a<heap.length;a=large)\\n {\\n if (2*a+2>heap.length)\\n {break;}\\n if (heap[2*a+1] > heap[2*a+2]) // use to swap those two numbers\\n {\\n if (heap[a]>heap[2*a+2])\\n {\\n temp = heap [a];\\n heap[a] = heap[2*a+2];\\n heap[2*a+2] = temp; \\n large = 2*a+2; \\n }\\n else\\n {break;}\\n }\\n else\\n {\\n if (heap[a]>heap[2*a+1])\\n {\\n temp = heap [2*a+1];\\n heap[2*a+1] = heap[a];\\n heap[a] = temp; \\n large = 2*a+1;\\n }\\n else\\n {break;}\\n }\\n }\\n return PrintE;\\n}\",\n \"function BinaryHeap(scoreFunction){\\n this.content = [];\\n this.scoreFunction = scoreFunction;\\n}\",\n \"function BinaryHeap(scoreFunction){\\n this.content = [];\\n this.scoreFunction = scoreFunction;\\n}\",\n \"function buildHeap(arr, type) {\\n // gets the last index\\n var lastIndex = arr.length - 1;\\n // While the last index is greater than 0\\n while (lastIndex > 0) {\\n // get the parent index\\n var parentIndex = Math.floor((lastIndex - 1) / 2);\\n // get the items inside the parent\\n // and the last index \\n var lastItem = arr[lastIndex];\\n var parentItem = arr[parentIndex];\\n\\n if (type === 'maxHeap') {\\n // checks to see if the lastItem is greater\\n // than the parentItem if so then do a swap\\n if (lastItem > parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n else if (type === 'minHeap') {\\n // checks to see if the lastItem is less\\n // than the parentItem if so then do a swap\\n if (lastItem < parentItem) {\\n // replaces item at parentIndex with\\n // last item and do the same for the\\n // lastIndex\\n arr[parentIndex] = lastItem;\\n arr[lastIndex] = parentItem;\\n\\n // Keeps track of the lastItem that was\\n // inserted by changing the lastIndex \\n // to be the parentIndex which is \\n // currently where the lastItem is located\\n lastIndex = parentIndex;\\n }\\n else {\\n break;\\n }\\n }\\n\\n }\\n }\",\n \"function heap(a, lo, hi) {\\n\\t var n = hi - lo,\\n\\t i = (n >>> 1) + 1;\\n\\t while (--i > 0) sift(a, i, n, lo);\\n\\t return a;\\n\\t }\",\n \"function BinaryHeap(scoreFunction) {\\r\\n this.content = [];\\r\\n this.scoreFunction = scoreFunction;\\r\\n}\",\n \"function minheap_extract(heap) {\\n var min = heap[0];\\n heap[0] = heap.pop();\\n var index = 0;\\n while(true){\\n var child1 = (index+1)*2;\\n var child2 = child1 -1;\\n var toSwap = null;\\n if(heap[index] > heap[child1]){\\n toSwap = child1;\\n }\\n if(heap[index] > heap[child2] &&\\n (heap[child1] == null || (heap[child1] !== null && heap[child2] < heap[child1]))){\\n toSwap = child2;\\n }\\n if(toSwap == null){\\n break;\\n }\\n var temp = heap[toSwap];\\n heap[toSwap] = heap[index];\\n heap[index] = temp;\\n index = toSwap;\\n }\\n return min;\\n // STENCIL: implement your min binary heap extract operation\\n}\",\n \"buildHeap(left, right) {\\r\\n var x = this.values[left];\\r\\n var i = left;\\r\\n\\r\\n while(true) {\\r\\n let j = 2 * i;\\r\\n if (j > right) break;\\r\\n if ((j < right) && (Item.compare(this.values[j + 1], this.values[j]) >= 0)) {\\r\\n j++;\\r\\n }\\r\\n\\r\\n if (Item.compare(x, this.values[j]) >= 0) break;\\r\\n let temp = this.values[i];\\r\\n this.values[i] = this.values[j];\\r\\n this.values[j] = temp;\\r\\n\\r\\n this.values[i].selected = true;\\r\\n this.printStorage.pushTimedPrint(this.values);\\r\\n this.values[i].selected = false;\\r\\n i = j;\\r\\n }\\r\\n\\r\\n this.values[i] = x;\\r\\n\\r\\n this.values[i].selected = true;\\r\\n this.printStorage.pushTimedPrint(this.values);\\r\\n this.values[i].selected = false;\\r\\n }\",\n \"function BinaryHeap(scoreFunction){\\n this.content = [];\\n this.scoreFunction = scoreFunction;\\n}\",\n \"function BinaryHeap(options) {\\n options = options || {};\\n\\n this._elements = options.elements || [];\\n this._score = options.score || this._score;\\n}\",\n \"buildHeap(array) {\\n const firstParentIdx = Math.floor((array.length - 2) / 2);\\n for (let currentIdx = firstParentIdx; currentIdx >= 0; currentIdx--) {\\n this.siftDown(currentIdx, array.length - 1, array);\\n }\\n return array;\\n }\",\n \"size() {\\r\\n\\t\\treturn this.heap.length;\\r\\n\\t}\",\n \"size() {\\r\\n\\t\\treturn this.heap.length;\\r\\n\\t}\",\n \"function SimpleHeap(f) {\\n var data = [];\\n\\n // By default just use standard comparison\\n var compareFunc = f;\\n if (!compareFunc) {\\n compareFunc = function(a,b) {\\n if (a < b) return -1;\\n return 1;\\n }\\n }\\n\\n this.insert = function(x) {\\n data.push(x);\\n data.sort(compareFunc);\\n }\\n\\n this.pop = function() {\\n return data.pop();\\n }\\n\\n this.peek = function() {\\n return data[data.length - 1];\\n }\\n\\n this.size = function() {\\n return data.length;\\n }\\n\\n SimpleHeap.prototype.toString = function() {\\n return data.toString();\\n }\\n}\",\n \"function PriorityQueue() {\\n this.heap = [];\\n this.size = 0;\\n}\",\n \"size() {\\n\\t\\treturn this.heap.length;\\n\\t}\",\n \"function buildHeap(A) {\\n var n = A.length;\\n for (var i = n/2 - 1; i >= 0; i--) {\\n heapify(A, i, n);\\n }\\n}\",\n \"extractMax(){\\n // bubble down\\n // swap first and last element.\\n // then pop\\n [this.values[0],this.values[this.values.length-1]] = [this.values[this.values.length-1], this.values[0]]\\n // console.log(element + ' removed from the heap');\\n this.values.pop();\\n let index = 0;\\n while(true){\\n // compare with both the children and swap with the larger one.\\n let leftParent = 2 * index + 1;\\n let rightParent = 2 * index + 2;\\n if(this.values[index] < this.values[leftParent] || this.values[index] < this.values[rightParent]){\\n if(this.values[leftParent] > this.values[rightParent]){\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent;\\n\\n }\\n else if(this.values[rightParent] > this.values[leftParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent;\\n }\\n else {\\n if(this.values[rightParent]){\\n [this.values[index], this.values[rightParent]] = [this.values[rightParent], this.values[index]]\\n index = rightParent\\n }\\n else {\\n [this.values[index], this.values[leftParent]] = [this.values[leftParent], this.values[index]]\\n index = leftParent\\n }\\n \\n };\\n }\\n else return;\\n }\\n }\",\n \"function heapSort(inputArr){\\n var heap = new Heap;\\n for(i=0; i<inputArr.length; i++){\\n heap.add(inputArr[i])\\n }\\n var outputArr = []\\n for(i=0; i<inputArr.length; i++){\\n outputArr.push(heap.remove())\\n }\\n console.log(outputArr)\\n return outputArr\\n}\",\n \"function heapSort(arr){\\n var sorted = [];\\n var heap1 = new MaxHeap();\\n \\n for(let i=0; i<arr.length; i++){\\n heap1.insert(arr[i]);\\n }\\n \\n for(let i=0; i<arr.length; i++){\\n sorted.push(heap1.delete());\\n }\\n return sorted;\\n}\",\n \"function maxHeapBuild(arr) {\\n if (arr.length <= 1) return;\\n createHeap(arr, arr.length);\\n return arr;\\n}\",\n \"function heap(a, lo, hi) {\\n var n = hi - lo,\\n i = (n >>> 1) + 1;\\n while (--i > 0) sift(a, i, n, lo);\\n return a;\\n }\",\n \"function maxHeapify(arr){\\n\\n}\",\n \"get HEAP8() {\\n return libzip_1.default.HEAP8;\\n }\",\n \"peek() {\\n return this.heap[0];\\n }\",\n \"delete() {\\n // implement delete\\n // only delete if the heap has elements\\n if (this.heap.length > 0) {\\n // save the smallest element\\n let smallest = this.heap[0];\\n // swap the last element in the heap whatever it is \\n this.heap[0] = this.heap[this.heap.length -1];\\n this.heap.pop();\\n this.minHeapifyDown(0, this.heap);\\n return smallest;\\n }\\n }\",\n \"min() {\\n return this.heap[1];\\n }\",\n \"function heapSort(array){\\n // 1: Construction\\n let heap = new MaxHeap()\\n array.forEach(ele => {\\n heap.insert(ele)\\n });\\n\\n// 2: sortdown \\n let sorted = []\\n while (heap.array.length > 1){\\n sorted.push(heap.deleteMax())\\n }\\n return sorted\\n}\",\n \"function startHeap(){\\n makeHeapStep = 1;\\n numHeapNodes = 1;\\n orderArray = getOrder();\\n console.log(orderArray);\\n heapSize = 0; \\n heapStarted = true;\\n heapSwimStep = 1;\\n heapOldPosition = -1;\\n doneMakingHeap = false;\\n sortHeapStep = 1;\\n heapSinkStep = 1\\n}\",\n \"function Heap(size) {\\n this.size = size;\\n // A map of size classes per chunk (see above).\\n this._sizeMap = {};\\n this._buffer = new Buffer(size);\\n this._remaining = size; // the whole thing is available.\\n this._offset = 0; // start of the buffer.\\n // Initialize the freelists.\\n this._freeLists = new Array(Heap._numSizeClasses);\\n for (var i = 0; i < Heap._numSizeClasses; i++) {\\n this._freeLists[i] = [];\\n }\\n }\",\n \"function heapAddNode(){\\n setClass(nodes[heapSize], 2, \\\"Current\\\"); //set the first Node to the heap\\n currentHeapPosition = heapSize;\\n addStep(\\\"Add Node \\\" + (heapSize + 1) + \\\" to the heap and set it to \\\\\\\"current\\\\\\\".\\\");\\n makeHeapStep = 2;\\n}\",\n \"min() {\\n if (this.heap.length == 0)\\n throw Error(\\\"Heap is empty\\\");\\n\\n return this.heap[0];\\n }\",\n \"function generateHeapCellHtml(row){\\n var cellDisplayState = 'display:none;';\\n if (isMemberRowExpanded[row.diskStoreUUID]) {\\n cellDisplayState = 'display:block;';\\n }\\n\\n var heapHtml = \\\"NA\\\";\\n var heapStorageHtml = \\\"NA\\\";\\n var heapExecutionHtml = \\\"NA\\\";\\n\\n if(row.memberType.toUpperCase() !== \\\"LOCATOR\\\"){\\n var heapUsed = convertSizeToHumanReadable(row.heapMemoryUsed);\\n var heapSize = convertSizeToHumanReadable(row.heapMemorySize);\\n heapHtml = heapUsed[0] + \\\" \\\" + heapUsed[1]\\n + \\\" / \\\" + heapSize[0] + \\\" \\\" + heapSize[1];\\n var heapStorageUsed = convertSizeToHumanReadable(row.heapStoragePoolUsed);\\n var heapStorageSize = convertSizeToHumanReadable(row.heapStoragePoolSize);\\n heapStorageHtml = heapStorageUsed[0] + \\\" \\\" + heapStorageUsed[1]\\n + \\\" / \\\" + heapStorageSize[0] + \\\" \\\" + heapStorageSize[1];\\n var heapExecutionUsed = convertSizeToHumanReadable(row.heapExecutionPoolUsed);\\n var heapExecutionSize = convertSizeToHumanReadable(row.heapExecutionPoolSize);\\n heapExecutionHtml = heapExecutionUsed[0] + \\\" \\\" + heapExecutionUsed[1]\\n + \\\" / \\\" + heapExecutionSize[0] + \\\" \\\" + heapExecutionSize[1];\\n }\\n var jvmHeapUsed = convertSizeToHumanReadable(row.usedMemory);\\n var jvmHeapSize = convertSizeToHumanReadable(row.totalMemory);\\n var jvmHeapHtml = jvmHeapUsed[0] + \\\" \\\" + jvmHeapUsed[1]\\n + \\\" / \\\" + jvmHeapSize[0] + \\\" \\\" + jvmHeapSize[1];\\n\\n var heapCellHtml =\\n '<div style=\\\"width: 95%; float: left; padding-right:10px;'\\n + 'text-align:right;\\\">' + heapHtml\\n + '</div>'\\n + '<div class=\\\"cellDetailsBox\\\" id=\\\"'+ row.diskStoreUUID + '-heap\\\" '\\n + 'style=\\\"width: 90%; ' + cellDisplayState + '\\\">'\\n + '<span><strong>JVM Heap:</strong>'\\n + '<br>' + jvmHeapHtml\\n + '<br><strong>Storage Memory:</strong>'\\n + '<br>' + heapStorageHtml\\n + '<br><strong>Execution Memory:</strong>'\\n + '<br>' + heapExecutionHtml\\n + '</span>'\\n + '</div>';\\n return heapCellHtml;\\n}\",\n \"remove() {\\n if (this.heap.length < 2) {\\n return this.heap.pop(); //easy\\n }\\n\\n const removed = this.heap[0]; // save to return later\\n this.heap[0] = this.heap.pop(); // replace with last el\\n\\n let currentIdx = 0;\\n let [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n let currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n // right if heap[right].priority >= heap[left].priority, else left\\n // index of max(left.priority, right.priority)\\n\\n while (\\n this.heap[currentChildIdx] && this.heap[currentIdx].priority <= this.heap[currentChildIdx].priority\\n ) {\\n let currentNode = this.heap[currentIdx];\\n let currentChildNode = this.heap[currentChildIdx];\\n\\n // swap parent & max child\\n\\n this.heap[currentChildIdx] = currentNode;\\n this.heap[currentIdx] = currentChildNode;\\n\\n\\n // update pointers\\n currentIdx = currentChildIdx;\\n [left, right] = [currentIdx * 2 + 1, currentIdx * 2 + 2];\\n currentChildIdx = (\\n this.heap[right] && this.heap[right].priority >= this.heap[left].priority ? right : left\\n );\\n }\\n\\n return removed;\\n }\",\n \"poll() {\\r\\n let rootElement = null;\\r\\n if (this.isEmpty()) {\\r\\n rootElement = null;\\r\\n } else if (this.hasSingleElement()) {\\r\\n rootElement = this.heapContainer.pop();\\r\\n } else { \\r\\n rootElement = this.heapContainer[0];\\r\\n this.heapContainer[0] = this.heapContainer.pop();\\r\\n this.heapifyDown();\\r\\n }\\r\\n \\r\\n return rootElement;\\r\\n }\",\n \"function heapify(arr) {\\n if (arr.length < 1) return arr\\n for (let i = arr.length - 1; i >= 0; i--) {\\n minHeapify(arr, i)\\n }\\n return arr\\n}\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"remove() {\\n if (this.heap.length === 0) {\\n return null;\\n }\\n const item = this.heap[0];\\n this.heap[0] = this.heap[this.heap.length - 1];\\n this.heap.pop();\\n this.heapifyDown();\\n return item;\\n }\",\n \"function heap(compareFunction, array = []) {\\n const data = array;\\n const heapSort = ()=>{data.sort(compareFunction)};\\n const add = function (node) {\\n data.push(node);\\n heapSort();\\n };\\n\\n const remove = function () {\\n const node = data.shift();\\n return node;\\n };\\n\\n const empty = function () {\\n return data.length === 0;\\n };\\n const updateItems = function () {\\n heapSort();\\n };\\n return {\\n data: data,\\n add: add,\\n remove: remove,\\n empty: empty,\\n update: updateItems,\\n };\\n}\",\n \"peek() {\\n return (this.heap.length) ? this.heap[0] : null;\\n }\",\n \"function heapifyStandart(currentIndex, heapSize ,arr){\\n\\n var largestElement = currentIndex\\n var leftIndex = 2 * currentIndex + 1\\n var rightIndex = 2 * currentIndex + 2\\n\\n if (leftIndex < heapSize && arr[currentIndex] < arr[leftIndex]){\\n largestElement = leftIndex\\n }\\n \\n if (rightIndex < heapSize && arr[largestElement] < arr[rightIndex]){\\n largestElement = rightIndex\\n }\\n\\n if (largestElement != currentIndex){\\n swapArrayElement(currentIndex, largestElement, arr)\\n heapifyStandart(largestElement, heapSize, arr)\\n }\\n}\",\n \"function _main()\\n{\\n\\nvar heap = new Heap();\\n //operation sequence from the Figure :\\n var ListOfSequence = [\\n\\t\\t{KEY: 2, Vlaue: \\\"a\\\"},\\n\\t\\t{KEY: 9, Vlaue: \\\"b\\\"},\\n\\t\\t{KEY: 7, Vlaue: \\\"c\\\"},\\n\\t\\t{KEY: 6, Vlaue: \\\"d\\\"},\\n\\t\\t{KEY: 5, Vlaue: \\\"e\\\"},\\n\\t\\t{KEY: 8, Vlaue: \\\"f\\\"}];\\n\\n\\tfor (var i = 0; i < ListOfSequence.length; i++) {\\n\\t\\theap.insert(ListOfSequence[i].KEY , ListOfSequence[i].Vlaue);\\n\\t}\\n document.write(heap.show());\\n heap.insert(10, \\\"g\\\");\\n document.write(heap.show());\\n heap.insert(15, \\\"h\\\");\\n document.write(heap.show());\\n\\n\\n // set input graph properties then implement the graph\\n var g = new Graph();\\n g.label = \\\"Exercise 9.2: 1b (Levitin, 3rd edition)\\\";\\n g.readGraph(_v, _e);\\n g.printGraph();\\n\\n\\n\\n\\n/** print output of first prim------------------------------------------------*/\\n\\n document.write('<br>MST by first Prim<br>');\\n\\n g.primImpl1();\\n for (var i = 0; i < g.Prim_Edge.length; i++) {\\n document.write(\\\"(\\\", g.Prim_Edge[i].v, \\\",\\\", g.Prim_Edge[i].u, \\\")\\\");\\n \\tg.Prim_Edge.length-1 == i ? document.write(\\\".<p>\\\") : document.write(\\\", \\\");\\n\\t}\\n\\n/**print output of second prim---------------------------------------*/\\n\\ndocument.write(\\\"<br>MST by Prim2 (PQ-Heap): <br>\\\");\\n g.primImpl2();\\n\\n for (var n = 0; n < g.verticesTree.length; n++) {\\n if (g.verticesTree[n].parent != null) {\\n document.write(\\\"(\\\", g.verticesTree[n].parent, \\\",\\\", g.verticesTree[n].V, \\\")\\\");\\n g.Prim_Edge.length-1 == i ? document.write(\\\".<p>\\\") : document.write(\\\", \\\");\\n } else if (g.verticesTree[n].parent == null) {\\n document.write(\\\"(-, \\\", g.verticesTree[n].tree, \\\"), \\\");\\n }\\n }\\n\\n}\",\n \"function heapSort(array){\\n let heapify = new MinHeap;\\n let sortedArray = [];\\n let length = array.length;\\n\\n for(let i = 0; i < length; i++){\\n heapify.add(array.pop());\\n }\\n\\n for(let j = 0; j < length; j++){\\n sortedArray.push(heapify.extract());\\n }\\n\\n return sortedArray;\\n}\",\n \"function build_initial_heap(ast) {\\n var state = {heap: {}, stack: [{}], next: 0, dump: [], heapinfo: {}, user_types: {}};\\n var decls = ast[\\\"decls\\\"];\\n\\n _(decls).map(function(n) {\\n return compileDecl[n[\\\"node\\\"]](n, state);\\n });\\n\\n return state;\\n }\",\n \"function minheap_insert(heap, new_element) {\\n var length = heap.push(new_element);\\n var child = length - 1;\\n var parent = (child + child%2)/2 - 1;\\n while(parent >= 0 && heap[child] < heap[parent]){\\n swap(heap,parent,child);\\n child = parent;\\n parent = (child + child%2)/2 - 1;\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"static buildMaxHeap(a) {\\n a.heap_size = a.length;\\n\\n // Max-heapify the first n/2 elements as\\n // they are tree nodes, and the remaining are\\n // usually tree leaves\\n let mid = parseInt(a.length / 2);\\n for (let i = mid; i >= 0; i -= 1) {\\n Heap.maxHeapify(a, i);\\n }\\n }\",\n \"function extractMin(heap) {\\n if (heap.length < 1) return null\\n // swap first and last element\\n let temp = heap[0]\\n heap[0] = heap[heap.length-1]\\n heap[heap.length-1] = temp\\n\\n const result = heap.pop()\\n minHeapify(heap, 0)\\n return result\\n}\",\n \"function heapSortV2(array) {\\n\\n for (let i = array.length - 1; i >= 0; i--) { // 1) loop through array, and convert it to maxHeap using heapify helper\\n heapify(array, array.length, i); // array length not really used for this part\\n }\\n\\n for (let endOfHeap = array.length - 1; endOfHeap >= 0; endOfHeap--) { // 2) loop from end of maxHeap to begin/left, and \\\"delete\\\" max val until heap region is \\\"empty\\\"\\n [array[endOfHeap], array[0]] = [array[0], array[endOfHeap]]; // 3) swap the root of the heap with the last element of the heap, this shrinks the heap by 1 and grows the sorted array by 1\\n\\n console.log(array);\\n\\n heapify(array, endOfHeap, 0); // 4) sift down the new root, but not past the end of the heap\\n }\\n\\n return array;\\n}\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"function minheap_insert(heap, new_element) {\\n heap.push(new_element);\\n var index = heap.length - 1;\\n while(index > 0){\\n var parent = Math.floor((index+1)/2)-1;\\n if(heap[parent] > new_element){\\n var temp = heap[parent];\\n heap[parent] = new_element;\\n heap[index] = temp;\\n }\\n index = parent;\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"function FibonacciHeap() {\\n if (!(this instanceof FibonacciHeap)) {\\n throw new SyntaxError('Constructor must be called with the new operator');\\n } // initialize fields\\n\\n\\n this._minimum = null;\\n this._size = 0;\\n }\",\n \"function FibonacciHeap() {\\n if (!(this instanceof FibonacciHeap)) {\\n throw new SyntaxError('Constructor must be called with the new operator');\\n } // initialize fields\\n\\n\\n this._minimum = null;\\n this._size = 0;\\n }\",\n \"function heapify(arr,comp){\\r\\n // arr[n/2-1:n-1] already satisfies the heap property because they are the leaves.\\r\\n for(let i = Math.floor((arr.length-2)/2); i >= 0; i--){\\r\\n // Restore the heap property for i\\r\\n siftDown(arr, comp, i);\\r\\n }\\r\\n // Now that the heap property is satisfied for all i from 0 to n-1, the array is a heap\\r\\n}\",\n \"function MaxHeap(array){\\r\\n Heap.call(this, array);\\r\\n \\r\\n // Build-max-heap method: produces a max-heap from an unordered input array\\r\\n // The elements in the subarray A[(floor(n/2)+1) .. n] are all leaves of the tree, and so\\r\\n // start doing Float-down from the top non-leave element ( floor(A.length/2) ) to the bottom ( A[i] )\\r\\n for (var i = Math.floor( this.heapSize / 2 ); i>0; i--){\\r\\n this.floatDownElementOfIndex(i)\\r\\n }\\r\\n}\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"heapify() {\\n if (this.size() < 2) return;\\n for (let i = 1; i < this.size(); i++) {\\n this.bubbleUp(i);\\n }\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"poll(){\\n if(this.length()==1)return this.heap.pop()\\n\\n let result=this.heap[0]\\n this.heap[0]=this.heap.pop()\\n this.bubbleDown(0)\\n return result\\n }\",\n \"function heapWeight(i) {\\n\\t return weights[heap[i]]\\n\\t }\",\n \"function heapWeight(i) {\\n\\t return weights[heap[i]]\\n\\t }\",\n \"heapifyDown(){\\n let idx = 0,\\n element = this.values[idx],\\n swap,\\n leftChildIdx,\\n rightChildIdx,\\n leftChild,\\n rightChild;\\n while (true){\\n swap = null;\\n leftChildIdx = (2 * idx) + 1;\\n rightChildIdx = (2 * idx) + 2;\\n leftChild = leftChildIdx < this.values.length ? this.values[leftChildIdx] : null;\\n rightChild = rightChildIdx < this.values.length ? this.values[rightChildIdx] : null;\\n if (leftChild <= rightChild && leftChild < element && leftChild !== null){\\n swap = leftChildIdx\\n }\\n if (leftChild >= rightChild && rightChild < element && rightChild !== null){\\n swap = rightChildIdx;\\n }\\n if (swap === null) break;\\n this.values[idx] = this.values[swap];\\n this.values[swap] = element;\\n idx = swap; \\n } \\n }\",\n \"heapify(currentParent) {\\n let left = this.left(currentParent);\\n let right = this.right(currentParent);\\n let bestParent = currentParent;\\n\\n // looking for the best parent that fulfills the heap property for this node and it's children\\n if (left < this.size && !this.validParent(left, bestParent)) {\\n bestParent = left;\\n }\\n if (right < this.size && !this.validParent(right, bestParent)) {\\n bestParent = right;\\n }\\n\\n // if the current parent is not the best parent, we have some work to do\\n if (currentParent != bestParent) {\\n // swapping new parent with old parent\\n let currentParentValue = this.heap[currentParent];\\n this.heap[currentParent] = this.heap[bestParent];\\n this.heap[bestParent] = currentParentValue;\\n\\n // set locations on the swap\\n this.locations.set(this.hash(this.heap[bestParent]), bestParent);\\n this.locations.set(this.hash(this.heap[currentParent]), currentParent);\\n\\n // recurse from the best parent's old position\\n this.heapify(bestParent);\\n }\\n }\",\n \"function pq_insert(heap, new_element) {\\n var eIntIdx = heap.length;\\n var prntIdx = Math.floor((eIntIdx - 1 ) / 2);\\n heap.push(new_element);\\n var heaped = (eIntIdx <= 0) || (heap[prntIdx].priority <= heap[eIntIdx]).priority;\\n\\n while(!heaped){\\n var tmp = heap[prntIdx];\\n heap[prntIdx] = heap[eIntIdx];\\n heap[eIntIdx] = tmp;\\n\\n eIntIdx = prntIdx;\\n prntIdx = Math.floor((eIntIdx - 1)/2);\\n heaped = (eIntIdx <= 0) ||(heap[prntIdx].priority <= heap[eIntIdx].priority);\\n }\\n // STENCIL: implement your min binary heap insert operation\\n}\",\n \"function insert(maxHeap, value) {\\n let currentIndex = maxHeap.length;\\n let parent = Math.floor((currentIndex - 1) / 2);\\n maxHeap.push(value);\\n while (maxHeap[currentIndex] > maxHeap[parent]) {\\n let temp = maxHeap[parent];\\n maxHeap[parent] = maxHeap[currentIndex];\\n maxHeap[currentIndex] = temp;\\n currentIndex = parent;\\n parent = Math.floor((currentIndex - 1) / 2);\\n }\\n return maxHeap;\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list 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screen"},"document":{"kind":"string","value":"function setTime() {\n\n //set interval function\n var timerInterval = setInterval(function () {\n secondsLeft--;\n timeEl.textContent = secondsLeft + \" seconds left till game ends.\";\n\n if (secondsLeft === 0) {\n clearInterval(timerInterval);\n endGame(); //displays message at end of game\n }\n\n }, 1000);\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["set_time( t ){ this.current_time = t; this.draw_fg(); return this; }","function displayTime() {\n var today = new Date();\n \n //gathers information about current hour, min and sec. \n //Add zero at the head if it is a single digit number.\n var currentHour = addZero(today.getHours());\n var currentMin = addZero(today.getMinutes());\n var currentSec = addZero(today.getSeconds());\n \n // for formatting the display.\n hourElement.innerHTML = currentHour + \":\";\n minElement.innerHTML = currentMin + \":\";\n secElement.innerHTML = currentSec;\n }","function time() {\n\t// storing the variable of the Date() function to call on to get hours, minutes, seconds\n\tvar current = new Date()\n\t// Storing the variables of hours, minutes, seconds\n\tvar currentHour = current.getHours()\n\tvar currentMinutes = current.getMinutes()\n\tvar currentSeconds = current.getSeconds()\n\t// changing the hours to to standard time instead of military time\n\tif(currentHour > 12) {\n\t\t// removing 12 hours from clock to make standard time\n\t\tcurrentHour = currentHour - 12\n\t}\n\t// at hour 00 in military aka midnight\n\tif(currentHour == 0) {\n\t\t// adding 12 hours so the clock reads 12 instead of 00\n\t\tcurrentHour = currentHour + 12\n\t}\n\tminutes = addZero(currentMinutes)\n\tseconds = addZero(currentSeconds)\n\t// adding the information to the div in my html\n\tdocument.getElementById(\"time\").textContent =\"Time: \" + currentHour + \":\" + minutes + \":\" + seconds\n\t// making the fuction time run every second\n\tsetTimeout(function() {\n\t\ttime()\n\t\t// 1000 milliseconds = 1 second\n\t}, 1000)\n}","function showTime() {\n\t\ttry {\n\t\t\tvar hours = time.getUTCHours();\n\t\t\tvar minutes = time.getUTCMinutes();\n\t\t\tvar seconds = time.getUTCSeconds();\n\t\n\t\t\t// build the human-readable format\n\t\t\tvar timeValue = \"\" + ((hours > 12) ? hours - 12 : hours);\n\t\t\ttimeValue += ((minutes < 10) ? \":0\" : \":\") + minutes;\n\t\t\ttimeValue += ((seconds < 10) ? \":0\" : \":\") + seconds;\n\t\t\ttimeValue += (hours >= 12) ? \" pm\" : \" am\";\n\t\n\t\t\tvar clockElement;\n\t\t\tif ((piratequesting.sidebar) && (clockElement = sidebar.contentDocument.getElementById('servertime'))) {\n\t\t\t\tclockElement.setAttribute(\"value\", timeValue);\n\t\t\t}\n\t\t} \n\t\tcatch (e) {\n\t\t\tdumpError(e);\n\t\t}\t\n\t}","function updateTime() {\n var strHours = document.getElementById(\"str-hours\"),\n strConsole = document.getElementById(\"str-console\"),\n strMinutes = document.getElementById(\"str-minutes\"),\n datetime = tizen.time.getCurrentDateTime(),\n hour = datetime.getHours(),\n minute = datetime.getMinutes();\n\n strHours.innerHTML = hour;\n strMinutes.innerHTML = minute;\n\n if (minute < 10) {\n strMinutes.innerHTML = \"0\" + minute;\n }\n if (hour < 10) {\n \t\tstrHours.innerHTML = \"0\" + hour;\n }\n\n if (flagDigital) {\n strConsole.style.visibility = flagConsole ? \"visible\" : \"hidden\";\n flagConsole = !flagConsole;\n } else {\n strConsole.style.visibility = \"visible\";\n flagConsole = false;\n }\n }","function displayTime() {\n\t\t// Get the current time.\n\t var now = new Date();\n\t var h = now.getHours() > 12 ? now.getHours() % 12 : now.getHours();\n\t var m = now.getMinutes();\n\t var s = now.getSeconds();\n\n\t // Create a formatted string for the time.\n\t var timeString = (h < 10 ? \"\" : \"\") + now.toLocaleTimeString();\n\n\t // Set the time label's value to the time string.\n\t document.getElementById(\"current-time\").innerHTML = timeString;\n\t\t\n\t\t\n\t\t// Draw the clock using SVG\n\t\tfunction svgClock() {\n\t\t\t// Get current time.. again\n\t\t\tvar now = new Date();\n\t\t\tvar h, m, s;\n\t\t\th = 30 * ((now.getHours() % 12) + now.getMinutes() / 60);\n\t\t\tm = 6 * now.getMinutes();\n\t\t\ts = 6 * now.getSeconds();\n\n\t\t\t// Find pointers of the clock, rotate\n\t\t\tdocument.getElementById('h_pointer').setAttribute('transform', 'rotate(' + h + ', 50, 50)');\n\t\t\tdocument.getElementById('m_pointer').setAttribute('transform', 'rotate(' + m + ', 50, 50)'); \n\t\t\tdocument.getElementById('s_pointer').setAttribute('transform', 'rotate(' + s + ', 50, 50)');\n\t\t\t\n\t\t\t// Loop every second\n\t\t\tsetTimeout(svgClock, 1000);\n\t\t}\n\t svgClock();\n\t}","function updateTime() {\r\n const date = new Date();\r\n const hour = formatTime(date.getHours());\r\n const minutes = formatTime(date.getMinutes());\r\n const seconds = formatTime(date.getSeconds());\r\n\r\n display.innerText=`${hour} : ${minutes} : ${seconds}`\r\n}","function updateTime(){\n setTimeContent(\"timer\");\n}","function updatetime() {\n time.innerHTML = new Date;\n \n}","function setTimeDisplay() {\n timeDisplay.textContent = formattedFocusTime;\n}","function updateTime() {\n\n}","function showTime() {\n // get the time\n let tdy = new Date();\n let hrs = tdy.getHours();\n let min = tdy.getMinutes();\n let sec = tdy.getSeconds();\n\n // display AM or PM\n const amPm = hrs > 12 ? \"PM\" : \"AM\";\n\n // set 12 hr format\n hrs = hrs % 12 || 12;\n\n // add Zero in min and sec\n function addZero(e) {\n return (parseInt(e, 10) < 10 ? \"0\" : \"\") + e;\n }\n time.innerHTML = `${hrs}<span>:</span>${addZero(min)}<span>:</span>${addZero(sec)}<span> </span>${amPm}`;\n setTimeout(showTime, 1000);\n}","function time(){\n\tvar\thours = dateobj.getHours(),\n\t\tminutes = dateobj.getMinutes(),\n\t\tseconds = dateobj.getSeconds();\n\n\t//make clock a 12 hour clock instead of 24 hour clock\n\thours = (hours > 12) ? (hours - 12) : hours;\n\thours = (hours === 0) ? 12 : hours;\n\n\t//invokes function to make sure number has at least two digits\n\thours = addZero(hours);\n\tminutes = addZero(minutes);\n\tseconds = addZero(seconds);\n\n\t//changes the html to match results\n\tdocument.getElementsByClassName('hours')[0].innerHTML = hours;\n\tdocument.getElementsByClassName('minutes')[0].innerHTML = minutes;\n\tdocument.getElementsByClassName('seconds')[0].innerHTML = seconds;\n}","function setTime()\n {\n ++totalSeconds;\n $('#timer > #seconds').html(pad(totalSeconds%60));\n $('#timer > #minutes').html(pad(parseInt(totalSeconds/60)));\n }","function startTime() {\n var today = new Date();\n var h = today.getHours();\n var m = today.getMinutes();\n var s = today.getSeconds();\n m = checkTime(m);\n s = checkTime(s);\n document.getElementById('txt').innerHTML =\n h + \":\" + m + \":\" + s;\n var t = setTimeout(startTime, 500);\n }","displayTime() {\n if(app === 1){\n this.d1.value = this.twoDigitNum(stopwatch.t1);\n this.d2.value = this.twoDigitNum(stopwatch.t2);\n this.d3.value = this.twoDigitNum(stopwatch.t3);\n }\n else{\n this.d1.value = this.twoDigitNum(timer.t1);\n this.d2.value = this.twoDigitNum(timer.t2);\n this.d3.value = this.twoDigitNum(timer.t3);\n }\n }","function displayTime() {\n //Calculate the number of minutes and seconds based on the current time\n var min = Math.floor(currentTime / 60);\n var sec = Math.floor(currentTime % 60);\n \n //Add a 0 to the front of the second when appropriate\n if (sec < 10) {\n sec = \"0\" + sec;\n }\n \n $(\"#time-text\").text(min + \":\" + sec);\n }","function startTime2() {\n if (t == 0) {\n //h, m and s are assigned to the real time\n var today = new Date();\n h = today.getHours();\n m = today.getMinutes();\n s = today.getSeconds();\n }\n if (t == 1) { \n //h, m and s are assigned to the set time\n h = hSetTime;\n m = mSetTime;\n s = sSetTime; \n }\n\n\t\t\tseconds.animate({transform: [ 'r',((s*6) + 180),200,200]}); //secondhand animation\n\t\t\tminutes.animate({transform: ['r',((m*6) + 180),200,200]}); //minute hand animation\n\t\t\thours.animate({transform: ['r',((h*30) + 180),200,200]}); //hours hand animation\t\t\n\t\t\t\n\t\t\tsetTimeout(function(){startTime2()}, 250); //funtion refreshes at 1/4 second intervals\n\n //Changes the AM/PM text depending on the time\n\t\t\tif (h < 12){\n ampmtxt.attr({text: \"AM\", \"font-size\": 15, fill: outline1 });\n\t\t\t} else {\n ampmtxt.attr({text: \"PM\" , \"font-size\": 15, fill: outline1});\n\t\t\t}\t\n\t\t}","function updateTimeDisplay()\n{\n // Get the current time in seconds and then get the difference from the stop seconds.\n var diff = globalStopSeconds - currentSeconds();\n\n // Set the time on the screen.\n $(\"#timer-display\").text( secondsToMinutes( diff));\n\n // Update the sand column graph. \n sandColumnUpdate( diff);\n\n}","function startTime() {\n\tvar now = new Date();\n\tvar hour = ('0' + now.getHours()).slice(-2);\n\tvar mins = now.getMinutes();\n\tvar secs = now.getSeconds();\n\tvar ampm = hour >= 12 ? 'PM' : 'AM';\n\tvar day = ('0' + now.getDate()).slice(-2);\n\tvar month = ('0' + (now.getMonth()+1)).slice(-2);\n\tvar year = now.getFullYear();\n \thour = hour ? hour : 12;\n\tmins = mins < 10 ? '0' + mins : mins;\n\tsecs = secs < 10 ? '0' + secs : secs;\n\tvar timeString = hour + ':' + mins;\n\tvar dateString = month + '/' + day + '/' + year;\n\tdocument.getElementById('time').innerHTML = timeString;\n\tdocument.getElementById('date').innerHTML = dateString;\n\tvar t = setTimeout(startTime, 500);\n}","function time(){\n\t $('#Begtime').mobiscroll().time({\n\t theme: 'wp',\n\t display: 'inline',\n\t mode: 'scroller'\n\t });\n\t $('#Endtime').mobiscroll().time({\n\t theme: 'wp',\n\t display: 'inline',\n\t mode: 'scroller'\n\t });\n\t removeUnwanted(); \n\t insertClass(); \n\t getTimeFromInput(\"Begtime\");\n\t getTimeFromInput(\"Endtime\");\n\t}","function showTime(){\n // let today=new Date(2020,06,10,08,33,30);{Testing purpose}\n let today=new Date(),\n date=today.getDate(),\n hour=today.getHours(),\n min=today.getMinutes(),\n sec=today.getSeconds();\n\n //Set AM or PM using ternanary operator(Shortend)\n const amPm=hour >= 12 ? 'PM' :'AM' ;\n\n //12 hour format\n hour = hour % 12 || 12;\n time.innerHTML=`${hour}<span>:</span>${addZero(min)}<span>:</span>${addZero(sec)} ${showAmPm ? amPm :''}`;\n setTimeout(showTime,1000); \n\n }","function startTime() {\n var today = new Date();\n var h = today.getHours();\n var m = today.getMinutes();\n var s = today.getSeconds();\n m = checkTime(m);\n s = checkTime(s);\n document.getElementById('txt').innerHTML =\n h + \":\" + m + \":\" + s;\n var t = setTimeout(startTime, 500);\n }","function showTime() {\r\n // stocam in variabila time un string cu ora curenta obtinut din libraria moment.js\r\n const time = moment().format(\"HH:mm:ss\");\r\n // orice e in elementul clockContainer va fi rescris.\r\n clockContainer.innerHTML = time;\r\n // trimitem functia ca parametru in metoda requestAnimationFrame de pe obiectul window.\r\n window.requestAnimationFrame(showTime);\r\n}","function updateDisplayTime() {\n\t\tvar date = new Date();\n\n\t\tvar hours = date.getHours();\n\t\tvar minutes = date.getMinutes();\n\t\tvar seconds = date.getSeconds();\n\t\tvar year = date.getFullYear();\n\t\tvar month = date.getMonth() + 1;\n\t\tvar day = date.getDate();\n\t\tvar ampm = \"AM\";\n\n\t\tif (hours > 11) {\n\t\t\tampm = \"PM\";\n\t\t}\n\n\t\tif (hours > 12) {\n\t\t\thours -=12;\n\t\t}\n\n\t\tif(minutes < 10) {\n\t\t\tminutes = \"0\" + minutes;\n\t\t}\n\n\t\tif (seconds < 10) {\n\t\t\tseconds = \"0\" + seconds;\n\t\t}\n\n\t\tvar displayTime = hours + \":\" + minutes + \":\" + seconds + \" \" + ampm;\n\n\t\t$(\"#displayTime\").html(displayTime)\n\t}","function displayTime() {\n var time = moment().format('HH:mm:ss');\n $('#clock').html(time);\n setTimeout(displayTime, 1000);\n }","function showTime(){\r\n var date = new Date();\r\n var h = date.getHours(); // 0 - 23\r\n var m = date.getMinutes(); // 0 - 59\r\n var s = date.getSeconds(); // 0 - 59\r\n var session = \"AM\";\r\n\r\n if(h == 0){\r\n h = 12;\r\n }\r\n\r\n if(h > 12){\r\n h = h - 12;\r\n session = \"PM\";\r\n }\r\n\r\n h = (h < 10) ? \"0\" + h : h;\r\n m = (m < 10) ? \"0\" + m : m;\r\n s = (s < 10) ? \"0\" + s : s;\r\n\r\n var time = h + \":\" + m + \":\" + s + \" \" + session;\r\n document.getElementById(\"time\").innerText = time;\r\n document.getElementById(\"time\").textContent = time;\r\n\r\n setTimeout(showTime, 1000);\r\n }","function setTime() {\n // Create date instance\n var date = new Date();\n // Get hours and minutes and store in variables\n var hours = date.getHours(),\n minutes = date.getMinutes();\n // If number of minutes < 10, the time looks like this: 6:6. We want 6:06 instead, so add a 0\n if (minutes < 10) {\n minutes = '0' + minutes;\n }\n // Define elements where to put hours and minutes\n var $hoursElement = $('#time .time-hours'),\n $minutesElement = $('#time .time-minutes');\n // Put hours and minutes in the elements\n $hoursElement.text(hours);\n $minutesElement.text(minutes);\n }","function time() {\n\t$(\"#clock\").html(number);\n}","display(){\n $('#timer').text(timer.hours + \":\" + timer.minutes + \":\"+ timer.secondes);\n }","function updateTimeDisplay(newTime) {\n $(\".timer\").text(time);\n time = newTime;\n}","function time(){\n\tvar date = new Date(),\n\t\thours = date.getHours(),\n\t\tminutes = date.getMinutes(),\n\t\tseconds = date.getSeconds();\n\n\t//make clock a 12 hour clock instead of 24 hour clock\n\thours = (hours > 12) ? (hours - 12) : hours;\n\n\t//invokes function to make sure number has at least two digits\n\thours = addZero(hours);\n\tminutes = addZero(minutes);\n\tseconds = addZero(seconds);\n\n\t//changes the html to match results\n\tdocument.getElementsByClassName('hours')[0].innerHTML = hours;\n\tdocument.getElementsByClassName('minutes')[0].innerHTML = minutes;\n\tdocument.getElementsByClassName('seconds')[0].innerHTML = seconds;\n\n}","function clock() {\n\t\tconst d = new Date();\n\t\tlet hour = d.getHours();\n\t\tlet min = d.getMinutes();\n\t\tlet sec = d.getSeconds();\n\t\tif(hour > 12) {\n\t\t\thour-=12;\t\t\t\n\t\t}\n\t\tif(min < 10) {\n\t\t\tmin=\"0\"+min;\n\t\t}\n\t\tif(sec < 10) {\n\t\t\tsec=\"0\"+sec;\n\t\t}\n\t\t$(\"#clock-time\").html(hour+\":\"+min+\":\"+sec);\t\t\n\t\tsetTimeout(clock, 250);\n\t}","function updateTime() {\n\t\tvar dateTime = tizen.time.getCurrentDateTime(), secondToday = dateTime.getSeconds() + dateTime.getMinutes() * 60 + dateTime.getHours() * 3600,\n\t\tminDigitLeft = document.querySelector(\"#time-min-digit-left\"),\n\t\tminDigitRight = document.querySelector(\"#time-min-digit-right\"),\n\t\thourDigitLeft = document.querySelector(\"#time-hour-digit-left\"), \n\t\thourDigitRight = document.querySelector(\"#time-hour-digit-right\");\n\n\t\tvar minutesNow = (secondToday % 3600) / 60;\n\t\tvar hourNow = (secondToday / 3600);\n\t\tslideDigit(minDigitRight, minutesNow % 10.0);\n\t\tslideDigit(minDigitLeft, minutesNow / 10.0);\n\t\tslideDigit(hourDigitRight, hourNow % 10.0);\n\t\tslideDigit(hourDigitLeft, hourNow / 10.0);\n\t}","function startTime() {\n\ttime = setInterval(() => {\n\t\tseconds = seconds + 1;\n\t\tif (seconds == 59) {\n\t\t\tseconds = 0;\n\t\t\tmin = min + 1;\n\t\t}\n\t\tif (min == 60) {\n\t\t\tmin = 0;\n\t\t\thour = hour + 1;\n\t\t}\n\t\ttimeSpace.innerHTML = \"h\" + hour + \":\" + min + \"m : \" + seconds + \"s\";\n\t\t// to Show time\n\t}, 1000)\n}","function setTime() {\n document.getElementById(\"time\").innerHTML=timeItTookToClick/1000;\n}","function showTime(){\r\n var today = new Date();\r\n var h = today.getHours();\r\n var m = today.getMinutes();\r\n var s = today.getSeconds();\r\n m = checkTime(m);\r\n s = checkTime(s);\r\n document.getElementById('clock').innerHTML =\r\n h + \":\" + m + \":\" + s;\r\n var day = today.getDate();\r\n var month = today.getMonth() + 1;\r\n var year = today.getFullYear();\r\n document.getElementById('date').innerHTML = day + \"/\" + month + \"/\" + year;\r\n var t = setTimeout(showTime, 500);\r\n}","function showTime() {\n\tclockDate = new Date(); \n\t\tclockHour = clockDate.getHours();\n\t\tclockMinutes = clockDate.getMinutes();\n\t\tclockSeconds = clockDate.getSeconds();\n\t\n// Display 24-hour clock: precede single-digit hour, minute or second with 0.\n\tif (clockHour <= 9) clockHour = '0' + clockHour;\n\tif (clockMinutes <= 9) clockMinutes = '0'+ clockMinutes;\n\tif (clockSeconds <= 9) clockSeconds = '0' + clockSeconds;\n\t\n// Append hex symbol to hours, minutes and seconds\n\tclockColour = '#' + clockHour + ':' + clockMinutes + ':' + clockSeconds;\n\n// Remove colons to display the corresponding hex colour in the body background.\n\tclockColourPure = clockColour.replace(/:/g, '');\n\t\n\n// Display the hex colour in the clockface\n\tdocument.getElementById('hex').style.backgroundColor = clockColourPure;\n\tdocument.getElementById('hex-container').style.backgroundColor = clockColourPure;\n\n// Display the current time on clock-face\n\tdocument.getElementById('hex').innerHTML = clockColour;\n\t\n// Call the function once per second to update clock and colour\n\tsetTimeout(showTime, 1000);\n}","function displayTime() {\n $(\"tbody\").empty();\n setInterval(displayTime, 10 * 1000);\n $(\"#currentTime\").html(\"<h2>\" + moment().format(\"hh:mm a\") + \"</h2>\");\n displayTrain();\n }","function updateTime() {\n time -= 1000;\n showTime(); \n}","function showTime() {\n let today = new Date(),\n hour = today.getHours(),\n min = today.getMinutes(),\n seconds = today.getSeconds();\n\n //Set AM or PM\n const amOrPm = hour >= 12 ? \"PM\" : \"AM\";\n\n //Format to 12 hours\n hour = hour % 12 || 12;\n console.log(time);\n //Outputting time\n time.innerHTML = `${hour} <span>:</span> ${min} <span>:</span> ${seconds}`;\n\n setTimeout(showTime, 1000);\n}","function setTime() {\n //increments timer\n ++totalSeconds;\n //temporarily stops timer at 5 seconds for my sanity\n if (totalSeconds === 59) {\n totalMinutes += 1;\n totalSeconds = 0;\n }\n\n //stops timer when game is won\n if (gameWon === true) {\n return;\n }\n //calls function to display timer in DOM\n domTimer();\n }","function initTime()\r\n{\r\n\ttempoDiv = document.getElementById(\"time\");\r\n\ttempoDiv.style.display = \"inline\";\r\n\ttime=0;\r\n\ttimeIncrement(time);\r\n}","function startTime(){\n clearInterval(timer);\n timer = setInterval(displayTime, 1000);\n }","function displayTime() {\n var today = new Date();\n var d = today.getDate();\n var m = today.getMonth()+1;\n var y = today.getFullYear();\n var h = today.getHours();\n var mm = today.getMinutes();\n var s = today.getSeconds();\n d = checkNumber(d);\n m = checkNumber(m);\n mm = checkNumber(mm);\n s = checkNumber(s);\n document.getElementById('displayTime').innerHTML = d + \"/\" + m + \"/\" + y + \" \" + h + \":\" + mm + \":\" + s;\n var t = setTimeout(displayTime, 500);\n}","function showTime() {\n let today = new Date(),\n hour = today.getHours(),\n min = today.getMinutes(),\n sec = today.getSeconds();\n weekDay = today.getDay();\n day = today.getDate();\n month = today.getMonth();\n\n\n // Set AM or PM\n //const amPm = hour >= 12 ? 'PM' : 'AM';\n\n // 12hr Format\n // hour = hour % 12 || 12;\n\n // Output Time\n time.innerHTML = `${hour}<span>:</span>${addZero(min)}<span>:</span>${addZero(\n sec\n )}`;\n date.innerHTML = `${DAYS[weekDay]}<span> </span>${day}<span> </span>${MONTHS[month]}`;\n //${showAmPm ? amPm : ''}`;\n\n setTimeout(showTime, 1000);\n}","function showTime() {\n var date = new Date();\n var h = date.getHours();\n var m = date.getMinutes();\n var s = date.getSeconds();\n var session = \"AM\";\n\n // if (h == 0) {\n // h = 12;\n // }\n\n if (h > 12) {\n h = h - 12;\n session = \"PM\";\n }\n\n h = h < 10 ? \"0\" + h : h;\n m = m < 10 ? \"0\" + m : m;\n s = s < 10 ? \"0\" + s : s;\n\n var time = h + \":\" + m + \":\" + s + \"\" + session;\n document.getElementById(\"time\").innerHTML = time;\n // document.getElementById(\"time\").textContent = time;\n\n setTimeout(showTime, 1000);\n}","function getTime() {\n\tOutput('<span>It\\'s the 21st century man! Get a SmartWatch</span></br>');\n}","function printTime()\n\t{\n\t\tvar time = getTime();\n\n\t\t// Print time\n\t\ttaskline.obj.time_timeday.innerHTML = time.hour + ':' + time.min;\n\t}","function time() {\r\nvar d = new Date();\r\ndocument.getElementById(\"tx\").innerHTML = d.toLocaleTimeString();\r\n document.getElementById(\"ti\").innerHTML = d.toLocaleDateString();\r\n}","showTime(time) {\n const current = new Date(time.time);\n\n const currentMonth = [\"January\", \"February\", \"March\", \"April\", \"May\", \"June\", \"July\", \"August\", \"September\", \"October\", \"November\", \"December\"][current.getMonth()];\n const currentDay = current.getDate();\n const currentYear = current.getFullYear();\n\n const curTime = ui.formatTime(current);\n\n\n this.sunrise.innerHTML = ui.formatTime(new Date(time.sunrise));\n this.sunset.innerHTML = ui.formatTime(new Date(time.sunset));\n this.currentTime.innerHTML = `${curTime}, ${currentMonth} ${currentDay}, ${currentYear}`;\n }","function displayTime() {\n let time = new Date();\n document.getElementById(\"timeNow\").innerHTML = time;\n}","function clock()\r\n{\r\n\tvar today=new Date();\r\n\tvar h=today.getHours();\r\n\tvar m=today.getMinutes();\r\n\tvar s=today.getSeconds();\r\n\t// add a zero in front of numbers<10\r\n\tm=checkTime(m);\r\n\ts=checkTime(s);\r\n\t\r\n\t$(\"#menu-hour\").html(h+\":\"+m+\":\"+s);\r\n}","function updateTime() {\n var time = 0;\n if (global.startTime != null) {\n time = (new Date()).getTime() - global.startTime;\n time = (time/1000)|0;\n }\n var timeDiv = document.getElementById(\"timeDisplay\");\n timeDiv.innerHTML = formatTime(time);\n}","set displayTime(time) {\n this._timeEl.innerHTML = time;\n }","function GetTime() {\n window.setTimeout( \"GetTime()\", 1000 );\n LiveTime = new Date()\n $(\"time\").innerHTML=LiveTime;\n }","function timeDigtal(){\r\n\tvar currentTime = new Date();\r\n\tvar hours = currentTime.getHours();\r\n\tvar minutes = currentTime.getMinutes();\r\n\tvar seconds = currentTime.getSeconds();\r\n document.getElementById(\"digtime\").innerHTML=\"<b>TIME IS: \" + hours + \":\" + minutes + \" \" + \":\" + seconds + \" \" + \"</b>\";\r\n}","function startTime() {\n setTimer();\n}","function updateTime() {\n let date = getToday();\n let hours = date.getHours();\n let minutes = date.getMinutes();\n let seconds = date.getSeconds();\n\n hours = addZero(hours);\n minutes = addZero(minutes);\n seconds = addZero(seconds);\n\n document.querySelector(\".date .time\").innerText = hours + \":\" + minutes + \":\" + seconds;\n // $('.date .time').text(`${hours}:${minutes}:${seconds}`);\n update = setTimeout(function () { updateTime() }, 500)\n}","function displayTime (){\n\tif(mins<10){\n\t\tmins=\"0\"+mins;\n\t}\n\tif(secs<10){\n\t\tsecs=\"0\"+secs;\n\t}\n\t$('#mins').html(mins);\n\t$('#secs').html(secs);\n}","function Showtime() {\n var date = new Date();\n var h = date.getHours(); //0 - 23\n var m = date.getMinutes();//0 - 59\n var s = date.getSeconds();//0 - 59\n\n if (h < 10) {\n h = \"0\" + h;\n }\n if (m < 10) {\n m = \"0\" + m;\n }\n if (s < 10) {\n s = \"0\" + s;\n }\n\n var time = h + \":\" + m + \":\" + s;\n document.getElementById('clock').innerText = time;\n document.getElementById('clock').textContent = time;\nsetTimeout(Showtime, 1000);\n\n}","function displayTime() {\n var time = new Date().toLocaleTimeString();\n document.querySelector('#display').textContent = time;\n}","function draw() {\n\n var hr = hour();\n var mi = minute();\n var sec = second();\n\n if (clockSec < 10) {\n clockSec = \"0\" + clockSec;\n }\n if (clocKMin < 10) {\n clockMi = \"0\" + clockMi;\n }\n if (clockHr < 10) {\n clockHr = \"0\" + clockHr;\n }\n\n\n clockText();\n}","function startTime() {\r\n var today=new Date();\r\n var h=today.getHours();\r\n var m=today.getMinutes();\r\n var s=today.getSeconds();\r\n m = checkTime(m);\r\n s = checkTime(s);\r\n document.getElementById('currentTime').innerHTML = h+\":\"+m+\":\"+s;\r\n var t = setTimeout(function(){startTime()},500);\r\n}","function updateTime() {\n let m = String(new Date().getMinutes());\n let h = String(new Date().getHours());\n if (h.length == 1) {\n h = \"0\" + h;\n }\n if (m.length == 1) {\n m = \"0\" + m;\n }\n var time = h + \":\" + m;\n document.getElementById(\"time\").innerHTML = time;\n}","function printTime() {\r\nvar d = new Date();\r\nvar hours = d.getHours();\r\nvar mins = d.getMinutes();\r\nvar secs = d.getSeconds();\r\ndocument.body.innerHTML = hours+\":\"+mins+\":\"+secs;\r\n}","function startTime() {\n const today = new Date();\n let hour = today.getHours();\n let minute = today.getMinutes();\n let second = today.getSeconds();\n hour = formatTime(hour);\n minute = formatTime(minute);\n second = formatTime(second);\n\n document.querySelector(\"#current-time\").innerHTML = hour + \":\" + minute + \":\" + second;\n setTimeout(function () {\n startTime();\n }, 500);\n}","function printTimedisplay (hours, minutes, seconds, milliseconds) {\n maintimeDisplay.innerHTML = hours + ':' + minutes + ':' + seconds;\n millisecondDisplay.innerHTML = '.' + milliseconds;\n}","function updateClock() {\n\tdocument.getElementById(\"time\").innerHTML = timeSinceStart();\n}","function startTime() {\n var today = new Date();\n var h = today.getHours();\n var m = today.getMinutes();\n var s = today.getSeconds();\n m = checkTime(m);\n s = checkTime(s);\n $(\"#clock\").text(h + \":\" + m + \":\" + s);\n var t = setTimeout(startTime, 500);\n}","function drawTime() {\n buf.clear();\n buf.setColor(1);\n var d = new Date();\n var da = d.toString().split(\" \");\n var time = da[4];\n buf.setFont(\"Vector\",50);\n buf.setFontAlign(0,-1);\n buf.drawString(time,buf.getWidth()/2,0);\n buf.setFont(\"Vector\",18);\n buf.setFontAlign(0,-1);\n var date = d.toString().substr(0,15);\n buf.drawString(date, buf.getWidth()/2, 70);\n flip();\n}","function printTime(){\n\tvar now = new Date();\n\tvar hours = now.getHours();\n\tvar mins = now.getMinutes();\n\tvar seconds = now.getSeconds();\n\tvar amPm=\"\";\n\tif(hours>12) {\n\t\thours=hours-12;\n\t\tamPm = \"PM\";\n\t}else {\n\t\tamPm=\"AM\";\n\t}\n\tif (hours<10) hours=\"0\"+hours;\n\tif (mins<10) mins=\"0\"+mins;\n\tif (seconds<10) seconds=\"0\"+seconds;\n\tvar time=document.getElementById(\"time\");\n\ttime.innerHTML= \"\"+hours+\":\"+mins+\":\"+seconds+\" \"+amPm;\n}","function startTime() {\n s = (s+1) % 60;\n if (s == 0)\n m = (m+1) % 60;\n var ms=checkTime(m);\n var ss=checkTime(s);\n document.getElementById('time').innerHTML=ms+\":\"+ss;\n t=setTimeout(function(){startTime()},1000);\n }","function setTime() {\n\t\tseconds += 500;\n\t}","function updateTimerDisplay(){\n // Update current time text display.\n $('#current-time').text(formatTime( player.getCurrentTime() ));\n $('#duration').text(formatTime( player.getDuration() ));\n }","function tellTime() {\n var now = new Date(); \n document.write(\"Current time: \"+ now);\n }","function set_clock(message) { document.getElementById(\"clock\").innerHTML = message; }","function output_time() { // output the current time\r\n\ttime.value = player_data.current_time;\r\n}","function printTime() {\r\n var d = new Date(); \r\n var hours = d.getHours(); \r\n var mins = d.getMinutes(); \r\n var secs = d.getSeconds(); \r\n document.body.innerHTML = \r\nhours+\":\"+mins+\":\"+secs; \r\n}","function renderTimeLabel() {\n renderText(\"TIME\", \"end\", \"#FF0\", Frogger.drawingSurfaceWidth, Frogger.drawingSurfaceHeight);\n }","function updateTimerDisplay() {\n // Update current time text display.\n //$('#current-time').text(formatTime(player.getCurrentTime()))\n //$('#duration').text(formatTime(player.getDuration()))\n}","function startClock() { \n timer = setInterval(displayTime, 500); \n }","function showCurrentTime(time) {\n document.querySelector(\".time p\").textContent = currentTime(time);\n}","function startTime()\n{\t\n\tvar today=new Date();\n\tvar h=today.getUTCHours();\n\tvar m=today.getUTCMinutes();\n\tvar s=today.getUTCSeconds();\n\tvar day=today.getUTCDate();\n\tvar month=today.getUTCMonth()+1;\n\tvar year=today.getUTCFullYear()\n\t\n\t// add a zero in front of numbers<10\n\tm=if0(m);\n\ts=if0(s);\n\th=if0(h);\n\tday=if0(day);\n\tmonth=if0(month);\n\t$('.showUTCTime').text(day+\".\"+month+\".\"+year+\" \"+h+\":\"+m+\":\"+s);\n\tsetTimeout(\"startTime()\",1000);\n}","function time() {\n seconds += 1;\n if (seconds >= 60) {\n seconds = 0;\n minutes += 1;\n }\n\n if (seconds > 9) {\n mySeconds = seconds;\n } else if (seconds <= 9) {\n mySeconds = `0${seconds}`;\n } else {\n mySeconds = '00';\n }\n\n if (minutes > 9) {\n myMinutes = minutes;\n } else if (minutes <= 9) {\n myMinutes = `0${minutes}`;\n } else {\n myMinutes = '00';\n }\n myStopWatch.textContent = (`${myMinutes}:${mySeconds}`);\n // Call timer function\n timer();\n }","function setTime() {\n var secondsLeft = 3600;\n var timerInterval = setInterval(function() {\n secondsLeft--; \n if(secondsLeft === 0) {\n clearInterval(timerInterval);\n setTime();\n }\n timeManagement();\n colorCoding()\n\n }, 1000);\n \n }","function updateTimerDisplay(){\n // Update current time text display.\n $('#current-time').text(formatTime( r.getCurrentTime() ));\n $('#duration').text(formatTime( r.getDuration() ));\n}","function startTime() {\n var today = new Date();\n var h = today.getHours();\n var m = today.getMinutes();\n var s = today.getSeconds();\n m = checkTime(m);\n s = checkTime(s);\n document.getElementById('time').innerHTML = \"Horário: \" + h + \":\" + m + \":\" + s;\n var t = setTimeout(startTime, 500);\n}","function show5(){\r\nif (!document.layers&&!document.all)\r\nreturn\r\nvar Digital=new Date()\r\nvar hours=Digital.getHours()\r\nvar minutes=Digital.getMinutes()\r\nvar seconds=Digital.getSeconds()\r\n//var dn=\"AM\"\r\n//if (hours>12){\r\n//dn=\"PM\"\r\n//hours=hours-12\r\n//}\r\n//if (hours==0)\r\n//hours=12\r\nif (minutes<=9)\r\nminutes=\"0\"+minutes\r\nif (seconds<=9)\r\nseconds=\"0\"+seconds\r\n//change font size here to your desire\r\nmyclock=\"<font face='Arial' ><b></br><p>\"+hours+\":\"+minutes+\":\"\r\n+seconds+\" </b></font>\"\r\nif (document.layers){\r\ndocument.layers.liveclock.document.write(myclock)\r\ndocument.layers.liveclock.document.close()\r\n}\r\nelse if (document.all)\r\nliveclock.innerHTML=myclock\r\nsetTimeout(\"show5()\",1000)\r\n}","function displayTime() {\n let hours = Math.floor(secondCount/3600);\n let minutes = Math.floor((secondCount % 3600)/60);\n let seconds = Math.floor(secondCount % 60)\n\n // Display a leading zero if the values are less than ten\n let displayHours = (hours < 10) ? '0' + hours : hours;\n let displayMinutes = (minutes < 10) ? '0' + minutes : minutes;\n let displaySeconds = (seconds < 10) ? '0' + seconds : seconds;\n\n setTotalTime(secondCount)\n setTimeLapse(displayHours + ':' + displayMinutes + ':' + displaySeconds)\n\n secondCount++;\n }","function displayCurrentTime() {\n\tsetInterval(function(){\n\t\t$('#current-time').html(moment().format('hh:mm A'))\n\t }, 1000);\n\t}","function updateTimeDisplay()\n{\n\t//the following code for getting the current beat time was written by melonking - https://wiki.melonland.net/swatch_time\n\t//get date in UTC/GMT\n var date = new Date();\n var hours = date.getUTCHours();\n var minutes = date.getUTCMinutes();\n var seconds = date.getUTCSeconds();\n var milliseconds = date.getUTCMilliseconds();\n //add hour to get time in Switzerland\n hours = (hours + 1) % 24;\n //time in seconds\n var timeInMilliseconds = ((hours * 60 + minutes) * 60 + seconds) * 1000 + milliseconds;\n //there are 86.4 seconds in a beat\n var millisecondsInABeat = 86400;\n //calculate beats to two decimal places\n\tvar current_beat_time = Math.abs(timeInMilliseconds / millisecondsInABeat).toFixed(2).padStart(6, \"0\");\n\t\n\t//display current beat time\n\tdocument.getElementById(\"current-beats\").childNodes[0].textContent = current_beat_time.split(\".\")[0];\n\tdocument.getElementById(\"current-centibeats\").innerText = current_beat_time.split(\".\")[1];\n}","function printTime(){\n\tvar d = new Date();\n\tvar hours = d.getHours();\n\tvar mins = d.getMinutes();\n\tvar secs = d.getSeconds();\n\tdocument.body.innerHTML = hours + \":\" + mins + \":\" + secs;\n}","function displayTime(time){\n\t\t//display the clock digits\n\t\tdocument.getElementById(\"clock-time\").innerHTML = time;\n\n\t\t//set current timer\n\t\tvar timeLeft = isBreak? breakTime - currentSessionTime:sessionTime - currentSessionTime;\n\t\tvar currentTimer = isBreak? breakTime:sessionTime;\n\n\t\t//calculate arc\n\t\tvar percentComplete =timeLeft / currentTimer * 100;\n\t\tvar arcDegrees = Math.floor(percentComplete * 3.6); //percent to degrees\n\n\t\t//display the clock bar\n\t\t$displayBar.attr(\"d\", describeArc(displayRadis, displayRadis, displayRadis - displayBorder, 0, arcDegrees));\n\t}","function updateTime() {\n var now = new Date(),\n minutes = now.getMinutes(),\n month = now.toLocaleString('default', { month: 'long' }),\n date = now.getDate() + ' ' + month;\n \n //Add leading zero to minutes below 10\n if (minutes < 10) minutes = '0' + minutes;\n\n //Concatinate the time\n var time = now.getHours() + ':' + minutes;\n\n //Show date and time on the page\n theDateNow.innerHTML = date;\n theTimeNow.innerHTML = time;\n\n //Show time only in the tab label\n document.title = time;\n }","function setClock() {\n let d = new Date(),\n dH = d.getHours(),\n dM = d.getMinutes(),\n dS = d.getSeconds(),\n time = `${dH}:${dM}:${dS}`;\n $('#headerTime').text(time);\n }","function update_clock(time)\r\n{\r\n clock_time = time;\r\n document.getElementById('clock').innerHTML = hh_mm_ss(time);\r\n check_old_records(time);\r\n}","function startTime() {\n var today = new Date();\n var hourNow = today.getHours();\n var h = formatHour(hourNow);\n var m = today.getMinutes();\n var ap = formatAmPm(hourNow);\n if(m==0) {\n writeDate();\n }\n m = checkTime(m);\n document.getElementById('clock').innerHTML = h + ':' + m + ap;\n var t = setTimeout(startTime, 10000);\n}","function startTime() {\n\n var today = new Date();\n var h = today.getHours();\n var m = today.getMinutes();\n var s = today.getSeconds();\n m = checkTime(m);\n s = checkTime(s);\n document.getElementById('clock').innerHTML = h + ':' + m + ':' + s;\n var t = setTimeout(startTime, 500);\n}","function currentTime() {\r\n let time = new Date();\r\n let h = time.getHours();\r\n let m = time.getMinutes();\r\n let s = time.getSeconds();\r\n if (m < 10) m = \"0\" + m;\r\n if (s < 10) s = \"0\" + s;\r\n document.getElementById('currentTime').innerHTML = h + \":\" + m + \":\" + s;\r\n}","function getTime() {\n\tvar today = new Date();\n\tseperator();\n\tOutput('<span>>time:<span><br>');\n\tOutput('<span>' + today.getFullYear() + '-' + (today.getMonth() + 1) + '-' + today.getDate() + ' ' + today.getHours() + \":\" + today.getMinutes() + \":\" + today.getSeconds() + '</span></br>');\n}"],"string":"[\n \"set_time( t ){ this.current_time = t; this.draw_fg(); return this; }\",\n \"function displayTime() {\\n var today = new Date();\\n \\n //gathers information about current hour, min and sec. \\n //Add zero at the head if it is a single digit number.\\n var currentHour = addZero(today.getHours());\\n var currentMin = addZero(today.getMinutes());\\n var currentSec = addZero(today.getSeconds());\\n \\n // for formatting the display.\\n hourElement.innerHTML = currentHour + \\\":\\\";\\n minElement.innerHTML = currentMin + \\\":\\\";\\n secElement.innerHTML = currentSec;\\n }\",\n \"function time() {\\n\\t// storing the variable of the Date() function to call on to get hours, minutes, seconds\\n\\tvar current = new Date()\\n\\t// Storing the variables of hours, minutes, seconds\\n\\tvar currentHour = current.getHours()\\n\\tvar currentMinutes = current.getMinutes()\\n\\tvar currentSeconds = current.getSeconds()\\n\\t// changing the hours to to standard time instead of military time\\n\\tif(currentHour > 12) {\\n\\t\\t// removing 12 hours from clock to make standard time\\n\\t\\tcurrentHour = currentHour - 12\\n\\t}\\n\\t// at hour 00 in military aka midnight\\n\\tif(currentHour == 0) {\\n\\t\\t// adding 12 hours so the clock reads 12 instead of 00\\n\\t\\tcurrentHour = currentHour + 12\\n\\t}\\n\\tminutes = addZero(currentMinutes)\\n\\tseconds = addZero(currentSeconds)\\n\\t// adding the information to the div in my html\\n\\tdocument.getElementById(\\\"time\\\").textContent =\\\"Time: \\\" + currentHour + \\\":\\\" + minutes + \\\":\\\" + seconds\\n\\t// making the fuction time run every second\\n\\tsetTimeout(function() {\\n\\t\\ttime()\\n\\t\\t// 1000 milliseconds = 1 second\\n\\t}, 1000)\\n}\",\n \"function showTime() {\\n\\t\\ttry {\\n\\t\\t\\tvar hours = time.getUTCHours();\\n\\t\\t\\tvar minutes = time.getUTCMinutes();\\n\\t\\t\\tvar seconds = time.getUTCSeconds();\\n\\t\\n\\t\\t\\t// build the human-readable format\\n\\t\\t\\tvar timeValue = \\\"\\\" + ((hours > 12) ? hours - 12 : hours);\\n\\t\\t\\ttimeValue += ((minutes < 10) ? \\\":0\\\" : \\\":\\\") + minutes;\\n\\t\\t\\ttimeValue += ((seconds < 10) ? \\\":0\\\" : \\\":\\\") + seconds;\\n\\t\\t\\ttimeValue += (hours >= 12) ? \\\" pm\\\" : \\\" am\\\";\\n\\t\\n\\t\\t\\tvar clockElement;\\n\\t\\t\\tif ((piratequesting.sidebar) && (clockElement = sidebar.contentDocument.getElementById('servertime'))) {\\n\\t\\t\\t\\tclockElement.setAttribute(\\\"value\\\", timeValue);\\n\\t\\t\\t}\\n\\t\\t} \\n\\t\\tcatch (e) {\\n\\t\\t\\tdumpError(e);\\n\\t\\t}\\t\\n\\t}\",\n \"function updateTime() {\\n var strHours = document.getElementById(\\\"str-hours\\\"),\\n strConsole = document.getElementById(\\\"str-console\\\"),\\n strMinutes = document.getElementById(\\\"str-minutes\\\"),\\n datetime = tizen.time.getCurrentDateTime(),\\n hour = datetime.getHours(),\\n minute = datetime.getMinutes();\\n\\n strHours.innerHTML = hour;\\n strMinutes.innerHTML = minute;\\n\\n if (minute < 10) {\\n strMinutes.innerHTML = \\\"0\\\" + minute;\\n }\\n if (hour < 10) {\\n \\t\\tstrHours.innerHTML = \\\"0\\\" + hour;\\n }\\n\\n if (flagDigital) {\\n strConsole.style.visibility = flagConsole ? \\\"visible\\\" : \\\"hidden\\\";\\n flagConsole = !flagConsole;\\n } else {\\n strConsole.style.visibility = \\\"visible\\\";\\n flagConsole = false;\\n }\\n }\",\n \"function displayTime() {\\n\\t\\t// Get the current time.\\n\\t var now = new Date();\\n\\t var h = now.getHours() > 12 ? now.getHours() % 12 : now.getHours();\\n\\t var m = now.getMinutes();\\n\\t var s = now.getSeconds();\\n\\n\\t // Create a formatted string for the time.\\n\\t var timeString = (h < 10 ? \\\"\\\" : \\\"\\\") + now.toLocaleTimeString();\\n\\n\\t // Set the time label's value to the time string.\\n\\t document.getElementById(\\\"current-time\\\").innerHTML = timeString;\\n\\t\\t\\n\\t\\t\\n\\t\\t// Draw the clock using SVG\\n\\t\\tfunction svgClock() {\\n\\t\\t\\t// Get current time.. again\\n\\t\\t\\tvar now = new Date();\\n\\t\\t\\tvar h, m, s;\\n\\t\\t\\th = 30 * ((now.getHours() % 12) + now.getMinutes() / 60);\\n\\t\\t\\tm = 6 * now.getMinutes();\\n\\t\\t\\ts = 6 * now.getSeconds();\\n\\n\\t\\t\\t// Find pointers of the clock, rotate\\n\\t\\t\\tdocument.getElementById('h_pointer').setAttribute('transform', 'rotate(' + h + ', 50, 50)');\\n\\t\\t\\tdocument.getElementById('m_pointer').setAttribute('transform', 'rotate(' + m + ', 50, 50)'); \\n\\t\\t\\tdocument.getElementById('s_pointer').setAttribute('transform', 'rotate(' + s + ', 50, 50)');\\n\\t\\t\\t\\n\\t\\t\\t// Loop every second\\n\\t\\t\\tsetTimeout(svgClock, 1000);\\n\\t\\t}\\n\\t svgClock();\\n\\t}\",\n \"function updateTime() {\\r\\n const date = new Date();\\r\\n const hour = formatTime(date.getHours());\\r\\n const minutes = formatTime(date.getMinutes());\\r\\n const seconds = formatTime(date.getSeconds());\\r\\n\\r\\n display.innerText=`${hour} : ${minutes} : ${seconds}`\\r\\n}\",\n \"function updateTime(){\\n setTimeContent(\\\"timer\\\");\\n}\",\n \"function updatetime() {\\n time.innerHTML = new Date;\\n \\n}\",\n \"function setTimeDisplay() {\\n timeDisplay.textContent = formattedFocusTime;\\n}\",\n \"function updateTime() {\\n\\n}\",\n \"function showTime() {\\n // get the time\\n let tdy = new Date();\\n let hrs = tdy.getHours();\\n let min = tdy.getMinutes();\\n let sec = tdy.getSeconds();\\n\\n // display AM or PM\\n const amPm = hrs > 12 ? \\\"PM\\\" : \\\"AM\\\";\\n\\n // set 12 hr format\\n hrs = hrs % 12 || 12;\\n\\n // add Zero in min and sec\\n function addZero(e) {\\n return (parseInt(e, 10) < 10 ? \\\"0\\\" : \\\"\\\") + e;\\n }\\n time.innerHTML = `${hrs}<span>:</span>${addZero(min)}<span>:</span>${addZero(sec)}<span> </span>${amPm}`;\\n setTimeout(showTime, 1000);\\n}\",\n \"function time(){\\n\\tvar\\thours = dateobj.getHours(),\\n\\t\\tminutes = dateobj.getMinutes(),\\n\\t\\tseconds = dateobj.getSeconds();\\n\\n\\t//make clock a 12 hour clock instead of 24 hour clock\\n\\thours = (hours > 12) ? (hours - 12) : hours;\\n\\thours = (hours === 0) ? 12 : hours;\\n\\n\\t//invokes function to make sure number has at least two digits\\n\\thours = addZero(hours);\\n\\tminutes = addZero(minutes);\\n\\tseconds = addZero(seconds);\\n\\n\\t//changes the html to match results\\n\\tdocument.getElementsByClassName('hours')[0].innerHTML = hours;\\n\\tdocument.getElementsByClassName('minutes')[0].innerHTML = minutes;\\n\\tdocument.getElementsByClassName('seconds')[0].innerHTML = seconds;\\n}\",\n \"function setTime()\\n {\\n ++totalSeconds;\\n $('#timer > #seconds').html(pad(totalSeconds%60));\\n $('#timer > #minutes').html(pad(parseInt(totalSeconds/60)));\\n }\",\n \"function startTime() {\\n var today = new Date();\\n var h = today.getHours();\\n var m = today.getMinutes();\\n var s = today.getSeconds();\\n m = checkTime(m);\\n s = checkTime(s);\\n document.getElementById('txt').innerHTML =\\n h + \\\":\\\" + m + \\\":\\\" + s;\\n var t = setTimeout(startTime, 500);\\n }\",\n \"displayTime() {\\n if(app === 1){\\n this.d1.value = this.twoDigitNum(stopwatch.t1);\\n this.d2.value = this.twoDigitNum(stopwatch.t2);\\n this.d3.value = this.twoDigitNum(stopwatch.t3);\\n }\\n else{\\n this.d1.value = this.twoDigitNum(timer.t1);\\n this.d2.value = this.twoDigitNum(timer.t2);\\n this.d3.value = this.twoDigitNum(timer.t3);\\n }\\n }\",\n \"function displayTime() {\\n //Calculate the number of minutes and seconds based on the current time\\n var min = Math.floor(currentTime / 60);\\n var sec = Math.floor(currentTime % 60);\\n \\n //Add a 0 to the front of the second when appropriate\\n if (sec < 10) {\\n sec = \\\"0\\\" + sec;\\n }\\n \\n $(\\\"#time-text\\\").text(min + \\\":\\\" + sec);\\n }\",\n \"function startTime2() {\\n if (t == 0) {\\n //h, m and s are assigned to the real time\\n var today = new Date();\\n h = today.getHours();\\n m = today.getMinutes();\\n s = today.getSeconds();\\n }\\n if (t == 1) { \\n //h, m and s are assigned to the set time\\n h = hSetTime;\\n m = mSetTime;\\n s = sSetTime; \\n }\\n\\n\\t\\t\\tseconds.animate({transform: [ 'r',((s*6) + 180),200,200]}); //secondhand animation\\n\\t\\t\\tminutes.animate({transform: ['r',((m*6) + 180),200,200]}); //minute hand animation\\n\\t\\t\\thours.animate({transform: ['r',((h*30) + 180),200,200]}); //hours hand animation\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tsetTimeout(function(){startTime2()}, 250); //funtion refreshes at 1/4 second intervals\\n\\n //Changes the AM/PM text depending on the time\\n\\t\\t\\tif (h < 12){\\n ampmtxt.attr({text: \\\"AM\\\", \\\"font-size\\\": 15, fill: outline1 });\\n\\t\\t\\t} else {\\n ampmtxt.attr({text: \\\"PM\\\" , \\\"font-size\\\": 15, fill: outline1});\\n\\t\\t\\t}\\t\\n\\t\\t}\",\n \"function updateTimeDisplay()\\n{\\n // Get the current time in seconds and then get the difference from the stop seconds.\\n var diff = globalStopSeconds - currentSeconds();\\n\\n // Set the time on the screen.\\n $(\\\"#timer-display\\\").text( secondsToMinutes( diff));\\n\\n // Update the sand column graph. \\n sandColumnUpdate( diff);\\n\\n}\",\n \"function startTime() {\\n\\tvar now = new Date();\\n\\tvar hour = ('0' + now.getHours()).slice(-2);\\n\\tvar mins = now.getMinutes();\\n\\tvar secs = now.getSeconds();\\n\\tvar ampm = hour >= 12 ? 'PM' : 'AM';\\n\\tvar day = ('0' + now.getDate()).slice(-2);\\n\\tvar month = ('0' + (now.getMonth()+1)).slice(-2);\\n\\tvar year = now.getFullYear();\\n \\thour = hour ? hour : 12;\\n\\tmins = mins < 10 ? '0' + mins : mins;\\n\\tsecs = secs < 10 ? '0' + secs : secs;\\n\\tvar timeString = hour + ':' + mins;\\n\\tvar dateString = month + '/' + day + '/' + year;\\n\\tdocument.getElementById('time').innerHTML = timeString;\\n\\tdocument.getElementById('date').innerHTML = dateString;\\n\\tvar t = setTimeout(startTime, 500);\\n}\",\n \"function time(){\\n\\t $('#Begtime').mobiscroll().time({\\n\\t theme: 'wp',\\n\\t display: 'inline',\\n\\t mode: 'scroller'\\n\\t });\\n\\t $('#Endtime').mobiscroll().time({\\n\\t theme: 'wp',\\n\\t display: 'inline',\\n\\t mode: 'scroller'\\n\\t });\\n\\t removeUnwanted(); \\n\\t insertClass(); \\n\\t getTimeFromInput(\\\"Begtime\\\");\\n\\t getTimeFromInput(\\\"Endtime\\\");\\n\\t}\",\n \"function showTime(){\\n // let today=new Date(2020,06,10,08,33,30);{Testing purpose}\\n let today=new Date(),\\n date=today.getDate(),\\n hour=today.getHours(),\\n min=today.getMinutes(),\\n sec=today.getSeconds();\\n\\n //Set AM or PM using ternanary operator(Shortend)\\n const amPm=hour >= 12 ? 'PM' :'AM' ;\\n\\n //12 hour format\\n hour = hour % 12 || 12;\\n time.innerHTML=`${hour}<span>:</span>${addZero(min)}<span>:</span>${addZero(sec)} ${showAmPm ? amPm :''}`;\\n setTimeout(showTime,1000); \\n\\n }\",\n \"function startTime() {\\n var today = new Date();\\n var h = today.getHours();\\n var m = today.getMinutes();\\n var s = today.getSeconds();\\n m = checkTime(m);\\n s = checkTime(s);\\n document.getElementById('txt').innerHTML =\\n h + \\\":\\\" + m + \\\":\\\" + s;\\n var t = setTimeout(startTime, 500);\\n }\",\n \"function showTime() {\\r\\n // stocam in variabila time un string cu ora curenta obtinut din libraria moment.js\\r\\n const time = moment().format(\\\"HH:mm:ss\\\");\\r\\n // orice e in elementul clockContainer va fi rescris.\\r\\n clockContainer.innerHTML = time;\\r\\n // trimitem functia ca parametru in metoda requestAnimationFrame de pe obiectul window.\\r\\n window.requestAnimationFrame(showTime);\\r\\n}\",\n \"function updateDisplayTime() {\\n\\t\\tvar date = new Date();\\n\\n\\t\\tvar hours = date.getHours();\\n\\t\\tvar minutes = date.getMinutes();\\n\\t\\tvar seconds = date.getSeconds();\\n\\t\\tvar year = date.getFullYear();\\n\\t\\tvar month = date.getMonth() + 1;\\n\\t\\tvar day = date.getDate();\\n\\t\\tvar ampm = \\\"AM\\\";\\n\\n\\t\\tif (hours > 11) {\\n\\t\\t\\tampm = \\\"PM\\\";\\n\\t\\t}\\n\\n\\t\\tif (hours > 12) {\\n\\t\\t\\thours -=12;\\n\\t\\t}\\n\\n\\t\\tif(minutes < 10) {\\n\\t\\t\\tminutes = \\\"0\\\" + minutes;\\n\\t\\t}\\n\\n\\t\\tif (seconds < 10) {\\n\\t\\t\\tseconds = \\\"0\\\" + seconds;\\n\\t\\t}\\n\\n\\t\\tvar displayTime = hours + \\\":\\\" + minutes + \\\":\\\" + seconds + \\\" \\\" + ampm;\\n\\n\\t\\t$(\\\"#displayTime\\\").html(displayTime)\\n\\t}\",\n \"function displayTime() {\\n var time = moment().format('HH:mm:ss');\\n $('#clock').html(time);\\n setTimeout(displayTime, 1000);\\n }\",\n \"function showTime(){\\r\\n var date = new Date();\\r\\n var h = date.getHours(); // 0 - 23\\r\\n var m = date.getMinutes(); // 0 - 59\\r\\n var s = date.getSeconds(); // 0 - 59\\r\\n var session = \\\"AM\\\";\\r\\n\\r\\n if(h == 0){\\r\\n h = 12;\\r\\n }\\r\\n\\r\\n if(h > 12){\\r\\n h = h - 12;\\r\\n session = \\\"PM\\\";\\r\\n }\\r\\n\\r\\n h = (h < 10) ? \\\"0\\\" + h : h;\\r\\n m = (m < 10) ? \\\"0\\\" + m : m;\\r\\n s = (s < 10) ? \\\"0\\\" + s : s;\\r\\n\\r\\n var time = h + \\\":\\\" + m + \\\":\\\" + s + \\\" \\\" + session;\\r\\n document.getElementById(\\\"time\\\").innerText = time;\\r\\n document.getElementById(\\\"time\\\").textContent = time;\\r\\n\\r\\n setTimeout(showTime, 1000);\\r\\n }\",\n \"function setTime() {\\n // Create date instance\\n var date = new Date();\\n // Get hours and minutes and store in variables\\n var hours = date.getHours(),\\n minutes = date.getMinutes();\\n // If number of minutes < 10, the time looks like this: 6:6. We want 6:06 instead, so add a 0\\n if (minutes < 10) {\\n minutes = '0' + minutes;\\n }\\n // Define elements where to put hours and minutes\\n var $hoursElement = $('#time .time-hours'),\\n $minutesElement = $('#time .time-minutes');\\n // Put hours and minutes in the elements\\n $hoursElement.text(hours);\\n $minutesElement.text(minutes);\\n }\",\n \"function time() {\\n\\t$(\\\"#clock\\\").html(number);\\n}\",\n \"display(){\\n $('#timer').text(timer.hours + \\\":\\\" + timer.minutes + \\\":\\\"+ timer.secondes);\\n }\",\n \"function updateTimeDisplay(newTime) {\\n $(\\\".timer\\\").text(time);\\n time = newTime;\\n}\",\n \"function time(){\\n\\tvar date = new Date(),\\n\\t\\thours = date.getHours(),\\n\\t\\tminutes = date.getMinutes(),\\n\\t\\tseconds = date.getSeconds();\\n\\n\\t//make clock a 12 hour clock instead of 24 hour clock\\n\\thours = (hours > 12) ? (hours - 12) : hours;\\n\\n\\t//invokes function to make sure number has at least two digits\\n\\thours = addZero(hours);\\n\\tminutes = addZero(minutes);\\n\\tseconds = addZero(seconds);\\n\\n\\t//changes the html to match results\\n\\tdocument.getElementsByClassName('hours')[0].innerHTML = hours;\\n\\tdocument.getElementsByClassName('minutes')[0].innerHTML = minutes;\\n\\tdocument.getElementsByClassName('seconds')[0].innerHTML = seconds;\\n\\n}\",\n \"function clock() {\\n\\t\\tconst d = new Date();\\n\\t\\tlet hour = d.getHours();\\n\\t\\tlet min = d.getMinutes();\\n\\t\\tlet sec = d.getSeconds();\\n\\t\\tif(hour > 12) {\\n\\t\\t\\thour-=12;\\t\\t\\t\\n\\t\\t}\\n\\t\\tif(min < 10) {\\n\\t\\t\\tmin=\\\"0\\\"+min;\\n\\t\\t}\\n\\t\\tif(sec < 10) {\\n\\t\\t\\tsec=\\\"0\\\"+sec;\\n\\t\\t}\\n\\t\\t$(\\\"#clock-time\\\").html(hour+\\\":\\\"+min+\\\":\\\"+sec);\\t\\t\\n\\t\\tsetTimeout(clock, 250);\\n\\t}\",\n \"function updateTime() {\\n\\t\\tvar dateTime = tizen.time.getCurrentDateTime(), secondToday = dateTime.getSeconds() + dateTime.getMinutes() * 60 + dateTime.getHours() * 3600,\\n\\t\\tminDigitLeft = document.querySelector(\\\"#time-min-digit-left\\\"),\\n\\t\\tminDigitRight = document.querySelector(\\\"#time-min-digit-right\\\"),\\n\\t\\thourDigitLeft = document.querySelector(\\\"#time-hour-digit-left\\\"), \\n\\t\\thourDigitRight = document.querySelector(\\\"#time-hour-digit-right\\\");\\n\\n\\t\\tvar minutesNow = (secondToday % 3600) / 60;\\n\\t\\tvar hourNow = (secondToday / 3600);\\n\\t\\tslideDigit(minDigitRight, minutesNow % 10.0);\\n\\t\\tslideDigit(minDigitLeft, minutesNow / 10.0);\\n\\t\\tslideDigit(hourDigitRight, hourNow % 10.0);\\n\\t\\tslideDigit(hourDigitLeft, hourNow / 10.0);\\n\\t}\",\n \"function startTime() {\\n\\ttime = setInterval(() => {\\n\\t\\tseconds = seconds + 1;\\n\\t\\tif (seconds == 59) {\\n\\t\\t\\tseconds = 0;\\n\\t\\t\\tmin = min + 1;\\n\\t\\t}\\n\\t\\tif (min == 60) {\\n\\t\\t\\tmin = 0;\\n\\t\\t\\thour = hour + 1;\\n\\t\\t}\\n\\t\\ttimeSpace.innerHTML = \\\"h\\\" + hour + \\\":\\\" + min + \\\"m : \\\" + seconds + \\\"s\\\";\\n\\t\\t// to Show time\\n\\t}, 1000)\\n}\",\n \"function setTime() {\\n document.getElementById(\\\"time\\\").innerHTML=timeItTookToClick/1000;\\n}\",\n \"function showTime(){\\r\\n var today = new Date();\\r\\n var h = today.getHours();\\r\\n var m = today.getMinutes();\\r\\n var s = today.getSeconds();\\r\\n m = checkTime(m);\\r\\n s = checkTime(s);\\r\\n document.getElementById('clock').innerHTML =\\r\\n h + \\\":\\\" + m + \\\":\\\" + s;\\r\\n var day = today.getDate();\\r\\n var month = today.getMonth() + 1;\\r\\n var year = today.getFullYear();\\r\\n document.getElementById('date').innerHTML = day + \\\"/\\\" + month + \\\"/\\\" + year;\\r\\n var t = setTimeout(showTime, 500);\\r\\n}\",\n \"function showTime() {\\n\\tclockDate = new Date(); \\n\\t\\tclockHour = clockDate.getHours();\\n\\t\\tclockMinutes = clockDate.getMinutes();\\n\\t\\tclockSeconds = clockDate.getSeconds();\\n\\t\\n// Display 24-hour clock: precede single-digit hour, minute or second with 0.\\n\\tif (clockHour <= 9) clockHour = '0' + clockHour;\\n\\tif (clockMinutes <= 9) clockMinutes = '0'+ clockMinutes;\\n\\tif (clockSeconds <= 9) clockSeconds = '0' + clockSeconds;\\n\\t\\n// Append hex symbol to hours, minutes and seconds\\n\\tclockColour = '#' + clockHour + ':' + clockMinutes + ':' + clockSeconds;\\n\\n// Remove colons to display the corresponding hex colour in the body background.\\n\\tclockColourPure = clockColour.replace(/:/g, '');\\n\\t\\n\\n// Display the hex colour in the clockface\\n\\tdocument.getElementById('hex').style.backgroundColor = clockColourPure;\\n\\tdocument.getElementById('hex-container').style.backgroundColor = clockColourPure;\\n\\n// Display the current time on clock-face\\n\\tdocument.getElementById('hex').innerHTML = clockColour;\\n\\t\\n// Call the function once per second to update clock and colour\\n\\tsetTimeout(showTime, 1000);\\n}\",\n \"function displayTime() {\\n $(\\\"tbody\\\").empty();\\n setInterval(displayTime, 10 * 1000);\\n $(\\\"#currentTime\\\").html(\\\"<h2>\\\" + moment().format(\\\"hh:mm a\\\") + \\\"</h2>\\\");\\n displayTrain();\\n }\",\n \"function updateTime() {\\n time -= 1000;\\n showTime(); \\n}\",\n \"function showTime() {\\n let today = new Date(),\\n hour = today.getHours(),\\n min = today.getMinutes(),\\n seconds = today.getSeconds();\\n\\n //Set AM or PM\\n const amOrPm = hour >= 12 ? \\\"PM\\\" : \\\"AM\\\";\\n\\n //Format to 12 hours\\n hour = hour % 12 || 12;\\n console.log(time);\\n //Outputting time\\n time.innerHTML = `${hour} <span>:</span> ${min} <span>:</span> ${seconds}`;\\n\\n setTimeout(showTime, 1000);\\n}\",\n \"function setTime() {\\n //increments timer\\n ++totalSeconds;\\n //temporarily stops timer at 5 seconds for my sanity\\n if (totalSeconds === 59) {\\n totalMinutes += 1;\\n totalSeconds = 0;\\n }\\n\\n //stops timer when game is won\\n if (gameWon === true) {\\n return;\\n }\\n //calls function to display timer in DOM\\n domTimer();\\n }\",\n \"function initTime()\\r\\n{\\r\\n\\ttempoDiv = document.getElementById(\\\"time\\\");\\r\\n\\ttempoDiv.style.display = \\\"inline\\\";\\r\\n\\ttime=0;\\r\\n\\ttimeIncrement(time);\\r\\n}\",\n \"function startTime(){\\n clearInterval(timer);\\n timer = setInterval(displayTime, 1000);\\n }\",\n \"function displayTime() {\\n var today = new Date();\\n var d = today.getDate();\\n var m = today.getMonth()+1;\\n var y = today.getFullYear();\\n var h = today.getHours();\\n var mm = today.getMinutes();\\n var s = today.getSeconds();\\n d = checkNumber(d);\\n m = checkNumber(m);\\n mm = checkNumber(mm);\\n s = checkNumber(s);\\n document.getElementById('displayTime').innerHTML = d + \\\"/\\\" + m + \\\"/\\\" + y + \\\" \\\" + h + \\\":\\\" + mm + \\\":\\\" + s;\\n var t = setTimeout(displayTime, 500);\\n}\",\n \"function showTime() {\\n let today = new Date(),\\n hour = today.getHours(),\\n min = today.getMinutes(),\\n sec = today.getSeconds();\\n weekDay = today.getDay();\\n day = today.getDate();\\n month = today.getMonth();\\n\\n\\n // Set AM or PM\\n //const amPm = hour >= 12 ? 'PM' : 'AM';\\n\\n // 12hr Format\\n // hour = hour % 12 || 12;\\n\\n // Output Time\\n time.innerHTML = `${hour}<span>:</span>${addZero(min)}<span>:</span>${addZero(\\n sec\\n )}`;\\n date.innerHTML = `${DAYS[weekDay]}<span> </span>${day}<span> </span>${MONTHS[month]}`;\\n //${showAmPm ? amPm : ''}`;\\n\\n setTimeout(showTime, 1000);\\n}\",\n \"function showTime() {\\n var date = new Date();\\n var h = date.getHours();\\n var m = date.getMinutes();\\n var s = date.getSeconds();\\n var session = \\\"AM\\\";\\n\\n // if (h == 0) {\\n // h = 12;\\n // }\\n\\n if (h > 12) {\\n h = h - 12;\\n session = \\\"PM\\\";\\n }\\n\\n h = h < 10 ? \\\"0\\\" + h : h;\\n m = m < 10 ? \\\"0\\\" + m : m;\\n s = s < 10 ? \\\"0\\\" + s : s;\\n\\n var time = h + \\\":\\\" + m + \\\":\\\" + s + \\\"\\\" + session;\\n document.getElementById(\\\"time\\\").innerHTML = time;\\n // document.getElementById(\\\"time\\\").textContent = time;\\n\\n setTimeout(showTime, 1000);\\n}\",\n \"function getTime() {\\n\\tOutput('<span>It\\\\'s the 21st century man! Get a SmartWatch</span></br>');\\n}\",\n \"function printTime()\\n\\t{\\n\\t\\tvar time = getTime();\\n\\n\\t\\t// Print time\\n\\t\\ttaskline.obj.time_timeday.innerHTML = time.hour + ':' + time.min;\\n\\t}\",\n \"function time() {\\r\\nvar d = new Date();\\r\\ndocument.getElementById(\\\"tx\\\").innerHTML = d.toLocaleTimeString();\\r\\n document.getElementById(\\\"ti\\\").innerHTML = d.toLocaleDateString();\\r\\n}\",\n \"showTime(time) {\\n const current = new Date(time.time);\\n\\n const currentMonth = [\\\"January\\\", \\\"February\\\", \\\"March\\\", \\\"April\\\", \\\"May\\\", \\\"June\\\", \\\"July\\\", \\\"August\\\", \\\"September\\\", \\\"October\\\", \\\"November\\\", \\\"December\\\"][current.getMonth()];\\n const currentDay = current.getDate();\\n const currentYear = current.getFullYear();\\n\\n const curTime = ui.formatTime(current);\\n\\n\\n this.sunrise.innerHTML = ui.formatTime(new Date(time.sunrise));\\n this.sunset.innerHTML = ui.formatTime(new Date(time.sunset));\\n this.currentTime.innerHTML = `${curTime}, ${currentMonth} ${currentDay}, ${currentYear}`;\\n }\",\n \"function displayTime() {\\n let time = new Date();\\n document.getElementById(\\\"timeNow\\\").innerHTML = time;\\n}\",\n \"function clock()\\r\\n{\\r\\n\\tvar today=new Date();\\r\\n\\tvar h=today.getHours();\\r\\n\\tvar m=today.getMinutes();\\r\\n\\tvar s=today.getSeconds();\\r\\n\\t// add a zero in front of numbers<10\\r\\n\\tm=checkTime(m);\\r\\n\\ts=checkTime(s);\\r\\n\\t\\r\\n\\t$(\\\"#menu-hour\\\").html(h+\\\":\\\"+m+\\\":\\\"+s);\\r\\n}\",\n \"function updateTime() {\\n var time = 0;\\n if (global.startTime != null) {\\n time = (new Date()).getTime() - global.startTime;\\n time = (time/1000)|0;\\n }\\n var timeDiv = document.getElementById(\\\"timeDisplay\\\");\\n timeDiv.innerHTML = formatTime(time);\\n}\",\n \"set displayTime(time) {\\n this._timeEl.innerHTML = time;\\n }\",\n \"function GetTime() {\\n window.setTimeout( \\\"GetTime()\\\", 1000 );\\n LiveTime = new Date()\\n $(\\\"time\\\").innerHTML=LiveTime;\\n }\",\n \"function timeDigtal(){\\r\\n\\tvar currentTime = new Date();\\r\\n\\tvar hours = currentTime.getHours();\\r\\n\\tvar minutes = currentTime.getMinutes();\\r\\n\\tvar seconds = currentTime.getSeconds();\\r\\n document.getElementById(\\\"digtime\\\").innerHTML=\\\"<b>TIME IS: \\\" + hours + \\\":\\\" + minutes + \\\" \\\" + \\\":\\\" + seconds + \\\" \\\" + \\\"</b>\\\";\\r\\n}\",\n \"function startTime() {\\n setTimer();\\n}\",\n \"function updateTime() {\\n let date = getToday();\\n let hours = date.getHours();\\n let minutes = date.getMinutes();\\n let seconds = date.getSeconds();\\n\\n hours = addZero(hours);\\n minutes = addZero(minutes);\\n seconds = addZero(seconds);\\n\\n document.querySelector(\\\".date .time\\\").innerText = hours + \\\":\\\" + minutes + \\\":\\\" + seconds;\\n // $('.date .time').text(`${hours}:${minutes}:${seconds}`);\\n update = setTimeout(function () { updateTime() }, 500)\\n}\",\n \"function displayTime (){\\n\\tif(mins<10){\\n\\t\\tmins=\\\"0\\\"+mins;\\n\\t}\\n\\tif(secs<10){\\n\\t\\tsecs=\\\"0\\\"+secs;\\n\\t}\\n\\t$('#mins').html(mins);\\n\\t$('#secs').html(secs);\\n}\",\n \"function Showtime() {\\n var date = new Date();\\n var h = date.getHours(); //0 - 23\\n var m = date.getMinutes();//0 - 59\\n var s = date.getSeconds();//0 - 59\\n\\n if (h < 10) {\\n h = \\\"0\\\" + h;\\n }\\n if (m < 10) {\\n m = \\\"0\\\" + m;\\n }\\n if (s < 10) {\\n s = \\\"0\\\" + s;\\n }\\n\\n var time = h + \\\":\\\" + m + \\\":\\\" + s;\\n document.getElementById('clock').innerText = time;\\n document.getElementById('clock').textContent = time;\\nsetTimeout(Showtime, 1000);\\n\\n}\",\n \"function displayTime() {\\n var time = new Date().toLocaleTimeString();\\n document.querySelector('#display').textContent = time;\\n}\",\n \"function draw() {\\n\\n var hr = hour();\\n var mi = minute();\\n var sec = second();\\n\\n if (clockSec < 10) {\\n clockSec = \\\"0\\\" + clockSec;\\n }\\n if (clocKMin < 10) {\\n clockMi = \\\"0\\\" + clockMi;\\n }\\n if (clockHr < 10) {\\n clockHr = \\\"0\\\" + clockHr;\\n }\\n\\n\\n clockText();\\n}\",\n \"function startTime() {\\r\\n var today=new Date();\\r\\n var h=today.getHours();\\r\\n var m=today.getMinutes();\\r\\n var s=today.getSeconds();\\r\\n m = checkTime(m);\\r\\n s = checkTime(s);\\r\\n document.getElementById('currentTime').innerHTML = h+\\\":\\\"+m+\\\":\\\"+s;\\r\\n var t = setTimeout(function(){startTime()},500);\\r\\n}\",\n \"function updateTime() {\\n let m = String(new Date().getMinutes());\\n let h = String(new Date().getHours());\\n if (h.length == 1) {\\n h = \\\"0\\\" + h;\\n }\\n if (m.length == 1) {\\n m = \\\"0\\\" + m;\\n }\\n var time = h + \\\":\\\" + m;\\n document.getElementById(\\\"time\\\").innerHTML = time;\\n}\",\n \"function printTime() {\\r\\nvar d = new Date();\\r\\nvar hours = d.getHours();\\r\\nvar mins = d.getMinutes();\\r\\nvar secs = d.getSeconds();\\r\\ndocument.body.innerHTML = hours+\\\":\\\"+mins+\\\":\\\"+secs;\\r\\n}\",\n \"function startTime() {\\n const today = new Date();\\n let hour = today.getHours();\\n let minute = today.getMinutes();\\n let second = today.getSeconds();\\n hour = formatTime(hour);\\n minute = formatTime(minute);\\n second = formatTime(second);\\n\\n document.querySelector(\\\"#current-time\\\").innerHTML = hour + \\\":\\\" + minute + \\\":\\\" + second;\\n setTimeout(function () {\\n startTime();\\n }, 500);\\n}\",\n \"function printTimedisplay (hours, minutes, seconds, milliseconds) {\\n maintimeDisplay.innerHTML = hours + ':' + minutes + ':' + seconds;\\n millisecondDisplay.innerHTML = '.' + milliseconds;\\n}\",\n \"function updateClock() {\\n\\tdocument.getElementById(\\\"time\\\").innerHTML = timeSinceStart();\\n}\",\n \"function startTime() {\\n var today = new Date();\\n var h = today.getHours();\\n var m = today.getMinutes();\\n var s = today.getSeconds();\\n m = checkTime(m);\\n s = checkTime(s);\\n $(\\\"#clock\\\").text(h + \\\":\\\" + m + \\\":\\\" + s);\\n var t = setTimeout(startTime, 500);\\n}\",\n \"function drawTime() {\\n buf.clear();\\n buf.setColor(1);\\n var d = new Date();\\n var da = d.toString().split(\\\" \\\");\\n var time = da[4];\\n buf.setFont(\\\"Vector\\\",50);\\n buf.setFontAlign(0,-1);\\n buf.drawString(time,buf.getWidth()/2,0);\\n buf.setFont(\\\"Vector\\\",18);\\n buf.setFontAlign(0,-1);\\n var date = d.toString().substr(0,15);\\n buf.drawString(date, buf.getWidth()/2, 70);\\n flip();\\n}\",\n \"function printTime(){\\n\\tvar now = new Date();\\n\\tvar hours = now.getHours();\\n\\tvar mins = now.getMinutes();\\n\\tvar seconds = now.getSeconds();\\n\\tvar amPm=\\\"\\\";\\n\\tif(hours>12) {\\n\\t\\thours=hours-12;\\n\\t\\tamPm = \\\"PM\\\";\\n\\t}else {\\n\\t\\tamPm=\\\"AM\\\";\\n\\t}\\n\\tif (hours<10) hours=\\\"0\\\"+hours;\\n\\tif (mins<10) mins=\\\"0\\\"+mins;\\n\\tif (seconds<10) seconds=\\\"0\\\"+seconds;\\n\\tvar time=document.getElementById(\\\"time\\\");\\n\\ttime.innerHTML= \\\"\\\"+hours+\\\":\\\"+mins+\\\":\\\"+seconds+\\\" \\\"+amPm;\\n}\",\n \"function startTime() {\\n s = (s+1) % 60;\\n if (s == 0)\\n m = (m+1) % 60;\\n var ms=checkTime(m);\\n var ss=checkTime(s);\\n document.getElementById('time').innerHTML=ms+\\\":\\\"+ss;\\n t=setTimeout(function(){startTime()},1000);\\n }\",\n \"function setTime() {\\n\\t\\tseconds += 500;\\n\\t}\",\n \"function updateTimerDisplay(){\\n // Update current time text display.\\n $('#current-time').text(formatTime( player.getCurrentTime() ));\\n $('#duration').text(formatTime( player.getDuration() ));\\n }\",\n \"function tellTime() {\\n var now = new Date(); \\n document.write(\\\"Current time: \\\"+ now);\\n }\",\n \"function set_clock(message) { document.getElementById(\\\"clock\\\").innerHTML = message; }\",\n \"function output_time() { // output the current time\\r\\n\\ttime.value = player_data.current_time;\\r\\n}\",\n \"function printTime() {\\r\\n var d = new Date(); \\r\\n var hours = d.getHours(); \\r\\n var mins = d.getMinutes(); \\r\\n var secs = d.getSeconds(); \\r\\n document.body.innerHTML = \\r\\nhours+\\\":\\\"+mins+\\\":\\\"+secs; \\r\\n}\",\n \"function renderTimeLabel() {\\n renderText(\\\"TIME\\\", \\\"end\\\", \\\"#FF0\\\", Frogger.drawingSurfaceWidth, Frogger.drawingSurfaceHeight);\\n }\",\n \"function updateTimerDisplay() {\\n // Update current time text display.\\n //$('#current-time').text(formatTime(player.getCurrentTime()))\\n //$('#duration').text(formatTime(player.getDuration()))\\n}\",\n \"function startClock() { \\n timer = setInterval(displayTime, 500); \\n }\",\n \"function showCurrentTime(time) {\\n document.querySelector(\\\".time p\\\").textContent = currentTime(time);\\n}\",\n \"function startTime()\\n{\\t\\n\\tvar today=new Date();\\n\\tvar h=today.getUTCHours();\\n\\tvar m=today.getUTCMinutes();\\n\\tvar s=today.getUTCSeconds();\\n\\tvar day=today.getUTCDate();\\n\\tvar month=today.getUTCMonth()+1;\\n\\tvar year=today.getUTCFullYear()\\n\\t\\n\\t// add a zero in front of numbers<10\\n\\tm=if0(m);\\n\\ts=if0(s);\\n\\th=if0(h);\\n\\tday=if0(day);\\n\\tmonth=if0(month);\\n\\t$('.showUTCTime').text(day+\\\".\\\"+month+\\\".\\\"+year+\\\" \\\"+h+\\\":\\\"+m+\\\":\\\"+s);\\n\\tsetTimeout(\\\"startTime()\\\",1000);\\n}\",\n \"function time() {\\n seconds += 1;\\n if (seconds >= 60) {\\n seconds = 0;\\n minutes += 1;\\n }\\n\\n if (seconds > 9) {\\n mySeconds = seconds;\\n } else if (seconds <= 9) {\\n mySeconds = `0${seconds}`;\\n } else {\\n mySeconds = '00';\\n }\\n\\n if (minutes > 9) {\\n myMinutes = minutes;\\n } else if (minutes <= 9) {\\n myMinutes = `0${minutes}`;\\n } else {\\n myMinutes = '00';\\n }\\n myStopWatch.textContent = (`${myMinutes}:${mySeconds}`);\\n // Call timer function\\n timer();\\n }\",\n \"function setTime() {\\n var secondsLeft = 3600;\\n var timerInterval = setInterval(function() {\\n secondsLeft--; \\n if(secondsLeft === 0) {\\n clearInterval(timerInterval);\\n setTime();\\n }\\n timeManagement();\\n colorCoding()\\n\\n }, 1000);\\n \\n }\",\n \"function updateTimerDisplay(){\\n // Update current time text display.\\n $('#current-time').text(formatTime( r.getCurrentTime() ));\\n $('#duration').text(formatTime( r.getDuration() ));\\n}\",\n \"function startTime() {\\n var today = new Date();\\n var h = today.getHours();\\n var m = today.getMinutes();\\n var s = today.getSeconds();\\n m = checkTime(m);\\n s = checkTime(s);\\n document.getElementById('time').innerHTML = \\\"Horário: \\\" + h + \\\":\\\" + m + \\\":\\\" + s;\\n var t = setTimeout(startTime, 500);\\n}\",\n \"function show5(){\\r\\nif (!document.layers&&!document.all)\\r\\nreturn\\r\\nvar Digital=new Date()\\r\\nvar hours=Digital.getHours()\\r\\nvar minutes=Digital.getMinutes()\\r\\nvar seconds=Digital.getSeconds()\\r\\n//var dn=\\\"AM\\\"\\r\\n//if (hours>12){\\r\\n//dn=\\\"PM\\\"\\r\\n//hours=hours-12\\r\\n//}\\r\\n//if (hours==0)\\r\\n//hours=12\\r\\nif (minutes<=9)\\r\\nminutes=\\\"0\\\"+minutes\\r\\nif (seconds<=9)\\r\\nseconds=\\\"0\\\"+seconds\\r\\n//change font size here to your desire\\r\\nmyclock=\\\"<font face='Arial' ><b></br><p>\\\"+hours+\\\":\\\"+minutes+\\\":\\\"\\r\\n+seconds+\\\" </b></font>\\\"\\r\\nif (document.layers){\\r\\ndocument.layers.liveclock.document.write(myclock)\\r\\ndocument.layers.liveclock.document.close()\\r\\n}\\r\\nelse if (document.all)\\r\\nliveclock.innerHTML=myclock\\r\\nsetTimeout(\\\"show5()\\\",1000)\\r\\n}\",\n \"function displayTime() {\\n let hours = Math.floor(secondCount/3600);\\n let minutes = Math.floor((secondCount % 3600)/60);\\n let seconds = Math.floor(secondCount % 60)\\n\\n // Display a leading zero if the values are less than ten\\n let displayHours = (hours < 10) ? '0' + hours : hours;\\n let displayMinutes = (minutes < 10) ? '0' + minutes : minutes;\\n let displaySeconds = (seconds < 10) ? '0' + seconds : seconds;\\n\\n setTotalTime(secondCount)\\n setTimeLapse(displayHours + ':' + displayMinutes + ':' + displaySeconds)\\n\\n secondCount++;\\n }\",\n \"function displayCurrentTime() {\\n\\tsetInterval(function(){\\n\\t\\t$('#current-time').html(moment().format('hh:mm A'))\\n\\t }, 1000);\\n\\t}\",\n \"function updateTimeDisplay()\\n{\\n\\t//the following code for getting the current beat time was written by melonking - https://wiki.melonland.net/swatch_time\\n\\t//get date in UTC/GMT\\n var date = new Date();\\n var hours = date.getUTCHours();\\n var minutes = date.getUTCMinutes();\\n var seconds = date.getUTCSeconds();\\n var milliseconds = date.getUTCMilliseconds();\\n //add hour to get time in Switzerland\\n hours = (hours + 1) % 24;\\n //time in seconds\\n var timeInMilliseconds = ((hours * 60 + minutes) * 60 + seconds) * 1000 + milliseconds;\\n //there are 86.4 seconds in a beat\\n var millisecondsInABeat = 86400;\\n //calculate beats to two decimal places\\n\\tvar current_beat_time = Math.abs(timeInMilliseconds / millisecondsInABeat).toFixed(2).padStart(6, \\\"0\\\");\\n\\t\\n\\t//display current beat time\\n\\tdocument.getElementById(\\\"current-beats\\\").childNodes[0].textContent = current_beat_time.split(\\\".\\\")[0];\\n\\tdocument.getElementById(\\\"current-centibeats\\\").innerText = current_beat_time.split(\\\".\\\")[1];\\n}\",\n \"function printTime(){\\n\\tvar d = new Date();\\n\\tvar hours = d.getHours();\\n\\tvar mins = d.getMinutes();\\n\\tvar secs = d.getSeconds();\\n\\tdocument.body.innerHTML = hours + \\\":\\\" + mins + \\\":\\\" + secs;\\n}\",\n \"function displayTime(time){\\n\\t\\t//display the clock digits\\n\\t\\tdocument.getElementById(\\\"clock-time\\\").innerHTML = time;\\n\\n\\t\\t//set current timer\\n\\t\\tvar timeLeft = isBreak? breakTime - currentSessionTime:sessionTime - currentSessionTime;\\n\\t\\tvar currentTimer = isBreak? breakTime:sessionTime;\\n\\n\\t\\t//calculate arc\\n\\t\\tvar percentComplete =timeLeft / currentTimer * 100;\\n\\t\\tvar arcDegrees = Math.floor(percentComplete * 3.6); //percent to degrees\\n\\n\\t\\t//display the clock bar\\n\\t\\t$displayBar.attr(\\\"d\\\", describeArc(displayRadis, displayRadis, displayRadis - displayBorder, 0, arcDegrees));\\n\\t}\",\n \"function updateTime() {\\n var now = new Date(),\\n minutes = now.getMinutes(),\\n month = now.toLocaleString('default', { month: 'long' }),\\n date = now.getDate() + ' ' + month;\\n \\n //Add leading zero to minutes below 10\\n if (minutes < 10) minutes = '0' + minutes;\\n\\n //Concatinate the time\\n var time = now.getHours() + ':' + minutes;\\n\\n //Show date and time on the page\\n theDateNow.innerHTML = date;\\n theTimeNow.innerHTML = time;\\n\\n //Show time only in the tab label\\n document.title = time;\\n }\",\n \"function setClock() {\\n let d = new Date(),\\n dH = d.getHours(),\\n dM = d.getMinutes(),\\n dS = d.getSeconds(),\\n time = `${dH}:${dM}:${dS}`;\\n $('#headerTime').text(time);\\n }\",\n \"function update_clock(time)\\r\\n{\\r\\n clock_time = time;\\r\\n document.getElementById('clock').innerHTML = hh_mm_ss(time);\\r\\n check_old_records(time);\\r\\n}\",\n \"function startTime() {\\n var today = new Date();\\n var hourNow = today.getHours();\\n var h = formatHour(hourNow);\\n var m = today.getMinutes();\\n var ap = formatAmPm(hourNow);\\n if(m==0) {\\n writeDate();\\n }\\n m = checkTime(m);\\n document.getElementById('clock').innerHTML = h + ':' + m + ap;\\n var t = setTimeout(startTime, 10000);\\n}\",\n \"function startTime() {\\n\\n var today = new Date();\\n var h = today.getHours();\\n var m = today.getMinutes();\\n var s = today.getSeconds();\\n m = checkTime(m);\\n s = checkTime(s);\\n document.getElementById('clock').innerHTML = h + ':' + m + ':' + s;\\n var t = setTimeout(startTime, 500);\\n}\",\n \"function currentTime() {\\r\\n let time = new Date();\\r\\n let h = time.getHours();\\r\\n let m = time.getMinutes();\\r\\n let s = time.getSeconds();\\r\\n if (m < 10) m = \\\"0\\\" + m;\\r\\n if (s < 10) s = \\\"0\\\" + s;\\r\\n document.getElementById('currentTime').innerHTML = h + \\\":\\\" + m + \\\":\\\" + s;\\r\\n}\",\n \"function getTime() {\\n\\tvar today = new Date();\\n\\tseperator();\\n\\tOutput('<span>>time:<span><br>');\\n\\tOutput('<span>' + today.getFullYear() + '-' + (today.getMonth() + 1) + '-' + today.getDate() + ' ' + today.getHours() + \\\":\\\" + today.getMinutes() + \\\":\\\" + today.getSeconds() + '</span></br>');\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.79061556\",\n \"0.7867804\",\n \"0.7833104\",\n \"0.78100234\",\n \"0.76912004\",\n \"0.76705134\",\n \"0.7659492\",\n \"0.7658845\",\n \"0.76162374\",\n \"0.76118803\",\n \"0.76050484\",\n \"0.75970423\",\n \"0.7594395\",\n \"0.758446\",\n \"0.7583648\",\n \"0.756783\",\n \"0.7565811\",\n \"0.755161\",\n \"0.7543307\",\n \"0.7523902\",\n \"0.7521322\",\n \"0.7512159\",\n \"0.7509993\",\n \"0.7504301\",\n \"0.749056\",\n \"0.74895716\",\n \"0.74747545\",\n \"0.74738777\",\n \"0.74730724\",\n \"0.7452847\",\n \"0.74508446\",\n \"0.74363637\",\n \"0.74287975\",\n \"0.7426348\",\n \"0.7425745\",\n \"0.7419692\",\n \"0.7417817\",\n \"0.74104947\",\n \"0.7409436\",\n \"0.73990893\",\n \"0.7383852\",\n \"0.73791164\",\n \"0.7377862\",\n \"0.7376942\",\n \"0.7371823\",\n \"0.73682\",\n \"0.736181\",\n \"0.7359109\",\n \"0.7343717\",\n \"0.73344857\",\n \"0.7334188\",\n \"0.7331798\",\n \"0.73191917\",\n \"0.73176533\",\n \"0.7304614\",\n \"0.7291054\",\n \"0.72806793\",\n \"0.7266006\",\n \"0.72623175\",\n \"0.72551054\",\n \"0.72507215\",\n \"0.72469354\",\n \"0.7240762\",\n \"0.72369534\",\n \"0.7236858\",\n \"0.72361684\",\n \"0.7228312\",\n \"0.7223337\",\n \"0.7208639\",\n \"0.7203502\",\n \"0.72013503\",\n \"0.72012097\",\n \"0.7199683\",\n \"0.71878564\",\n \"0.71874315\",\n \"0.7184804\",\n \"0.7184628\",\n \"0.7178691\",\n \"0.71696043\",\n \"0.71658\",\n \"0.716455\",\n \"0.71577877\",\n \"0.71574736\",\n \"0.7154176\",\n \"0.7152343\",\n \"0.7150578\",\n \"0.71452606\",\n \"0.71401155\",\n \"0.7135124\",\n \"0.7130429\",\n \"0.71298593\",\n \"0.7125621\",\n \"0.7124861\",\n \"0.7120011\",\n \"0.711645\",\n \"0.7115605\",\n \"0.71139705\",\n \"0.71116513\",\n \"0.7111149\",\n \"0.7110815\",\n \"0.71086645\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":188,"cells":{"query":{"kind":"string","value":"function that starts the game"},"document":{"kind":"string","value":"function start() {\n\n setTime(); //set timer\n\n //next question function\n next();\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function startGame() { }","function start()\r\n{\r\ninit();\r\ngame.start();\r\n}","function startGame() {\n init();\n}","function startGame() {\n\tsetup();\n\tmainLoop();\n}","function startgame() {\t\r\n\tloadImages();\r\nsetupKeyboardListeners();\r\nmain();\r\n}","function startGame(){\n initialiseGame();\n}","function start(){\n\t\t //Initialize this Game. \n newGame(); \n //Add mouse click event listeners. \n addListeners();\n\t\t}","function startGame() {\n myGameArea.start();\n}","function startGame(){\n hideContent();\n unhideContent();\n assignButtonColours();\n generateDiffuseOrder();\n clearInterval(interval);\n setlevel();\n countdown(localStorage.getItem(\"theTime\"));\n listeningForClick();\n}","function start() {\n\tclear();\n\tc = new GameManager();\n\tc.startGame();\t\n}","function init() {\n gameStart();\n}","function startGame(){\n\tvar game = new Game();\n\tgame.init();\n}","function startGame() {\n\t\tstatus.show();\n\t\tinsertStatusLife();\n\t\tsetLife(100);\n\t\tsetDayPast(1);\n\t}","function startGame(){\n \t\tGameJam.sound.play('start');\n \t\tGameJam.sound.play('run');\n\t\t\n\t\t// Put items in the map\n\t\titemsToObstacles(true);\n\n\t\t// Create the prisoner path\n\t\tGameJam.movePrisoner();\n\n\t\t// Reset items, we dont want the user to be able to drag and drop them\n \t\tGameJam.items = [];\n \t\t\n \t\tfor (var item in GameJam.levels[GameJam.currentLevel].items) {\n \t\t\tGameJam.levels[GameJam.currentLevel].items[item].count = GameJam.levels[GameJam.currentLevel].items[item].countStart;\n \t\t}\n\n\t\t// Reset prisoner speed\n\t\tGameJam.prisoner[0].sprite.speed = 5;\n\n\t\t// Reset game time\n\t\tGameJam.tileCounter = 0;\n\t\tGameJam.timer.className = 'show';\n\t\tdocument.getElementById('obstacles').className = 'hide';\n\t\tdocument.getElementById('slider').className = 'hide';\n\t\tdocument.getElementById('start-button-wrapper').className = 'hide';\n\n\t\t// Game has started\n\t\tGameJam.gameStarted = true;\n\n\t\tGameJam.gameEnded = false;\n\n\t\tdocument.getElementById('static-canvas').className = 'started';\n\n\t\tconsole.log('-- Game started');\n\t}","function startGame() {\n\tupdateGameState()\n\tmoveTetroDown()\n}","function startGame() {\n\n\t\tvar gss = new Game(win.canvas);\n\n\t\t// shared zone used to share resources.\n gss.set('keyboard', new KeyboardInput());\n gss.set('loader', loader);\n\n\t\tgss.start();\n\t}","function startGame() {\n\t\tvar game = document.getElementById(\"game-area\");\n\t\ttimeStart();\t\t\t\t\n\t}","function startGame(){\n getDictionary();\n var state = $.deparam.fragment();\n options.variant = state.variant || options.variant;\n makeGameBoard();\n loadState();\n }","function startGame() {\n\tinitGame();\n\tsetInterval(updateGame, 90);\n}","function startGame(mapName = 'galaxy'){\n toggleMenu(currentMenu);\n if (showStats)\n $('#statsOutput').show();\n $('#ammoBarsContainer').show();\n scene.stopTheme();\n scene.createBackground(mapName);\n if (firstTime) {\n firstTime = false;\n createGUI(true);\n render();\n } else {\n requestAnimationFrame(render);\n }\n}","function startGame(){\n countdown();\n question();\n solution();\n }","function startGame() {\n //init the game\n gWorld = new gameWorld(6);\n gWorld.w = cvs.width;\n gWorld.h = cvs.height;\n \n gWorld.state = 'RUNNING';\n gWorld.addObject(makeGround(gWorld.w, gWorld.h));\n gWorld.addObject(makeCanopy(gWorld.w));\n gWorld.addObject(makeWalker(gWorld.w, gWorld.h));\n gWorld.addObject(makeWalker(gWorld.w, gWorld.h,true));\n gWorld.addObject(makePlayer());\n \n startBox.active = false;\n pauseBtn.active = true;\n soundBtn.active = true;\n touchRightBtn.active = true;\n touchLeftBtn.active = true;\n replayBtn.active = false;\n \n gameLoop();\n }","function on_load()\n{\n\tgame.start();\n}","function startGame() {\n (new SBar.Engine()).startGame();\n}","function StartGame()\r\n {\r\n\r\n\t\r\n\tinit();\r\n\tanimate();\t\r\n\t}","function startGame() {\n logger.log('Staring a new game');\n // Hide any dialog that might have started this game\n $('.modal').modal('hide');\n\n // Reset the board\n board.init();\n\n // Init the scores\n level = 1;\n score = 0;\n totalShapesDropped = 1;\n delay = 500; // 1/2 sec\n updateUserProgress();\n\n // Init the shapes\n FallingShape = previewShape;\n previewShape = dropNewShape();\n\n // Reset game state\n drawPreview();\n pauseDetected = false;\n isPaused = false;\n isGameStarted = true;\n isStopped = false;\n\n // Update the button if this is the first game\n $('#newGameButton').text(\"New Game\");\n\n // Start dropping blocks\n advance();\n }","function loadGame(){\n myGameArea.start();\n}","function start(){\n initializeBoard();\n playerTurn();\n }","function startGame () {\n\tplay = true;\n\n}","function startGame() {\n pairMovieWithSounds();\n randomSounds(movie);\n addPhraseToDisplay();\n keyboardSetup();\n}","function startGame() {\n\t\t\tvm.gameStarted = true;\n\t\t\tMastermind.startGame();\n\t\t\tcurrentAttempt = 1;\n\t\t\tactivateAttemptRow();\n\t\t}","function startGame () {\n if (!gameStarted) { // ensure setInterval only fires once\n setInterval(countdown, 1000)\n generateList() // start game generates first order, subsequent order generated by serve\n setTimeout(gameOver, 90000) // cause endGameOverlay DOM\n }\n gameStarted = true\n removeStartScreen() //remove instructions\n createBoard() //create title and bottom burger in playArea\n }","function startGame(){\n gameArea.start();\n debuggerLog(\"The game has started!\");\n}","function startGame() {\n incrementGameStep({ gameId, gameData });\n }","function startGame() {\n if (isGameRunning) return;\n isGameRunning = true;\n hideAllMenus();\n setupScore();\n updateScoreDisplay();\n shootBulletsRandomlyLoop();\n}","start() {\n\t\tthis.emit(\"game_start\");\n\t}","function NewGame() {\n\t// Your code goes here for starting a game\n\tprint(\"Complete this method in Singleplayer.js\");\n}","function GameStart() {\n\tGenerateCharacter();\n\tCreateTileGrid();\n\tCreateGraphicsGrid();\n\tCreateNoteGrid();\n\tGenerateDungeon();\n\tRoundTimer();\n}","startGame () {\n game.state.start('ticTac')\n }","function startGame()\r\n{\r\n\tcontext = loadCanvasContext();\r\n\tmarker = loadMarkerCanvas();\r\n\r\n\tif(context && marker)\r\n\t{\r\n\t\tsetArrays();\r\n\t\tisNewRound = false;\r\n\t\tstart();\r\n\t\tsetRound();\r\n\t\tdoSpeeding();\r\n\t\tisNewRound = true;\r\n\t\texplainHowToMove();\r\n\t\tspeed = startingSpeed;\r\n\t\t$(\"#rounds\").text(\"1\");\r\n\t\tchangeInterval(speed);\r\n\t}\r\n\telse\r\n\t{\r\n\t\talert(\"Cannot Load Canvas\");\r\n\t}\r\n}","startGame() {\r\n\t\tthis.board.drawHTMLBoard();\r\n\t\tthis.activePlayer.activeToken.drawHTMLToken();\r\n\t\tthis.ready = true;\r\n\t}","startGame() {\n //@todo: have this number set to the difficulty, easy = 3, normal = 6, hard = 9\n StateActions.onStart(5, 5, this.state.difficulty);\n StateStore.setGameState(1);\n this.gameState();\n }","function startGame() {\n lobby.hide();\n game.start();\n animate();\n}","runGame(){\n\t\t\tthis.scene.runGame();\n\t\t}","function gamestart() {\n\t\tshowquestions();\n\t}","function startGame(){\n gBoard = buildBoard()\n renderBoard(gBoard)\n placeMines()\n setMinesNegsCount(gBoard)\n openNegs(gBoard, gGame.safeCell.i, gGame.safeCell.j)\n renderBoard(gBoard)\n startTimer()\n}","function startGame() {\n if(gameState.gameDifficulty === 'easy')\n {\n easyMode();\n } \n if(gameState.gameDifficulty ==='normal'){\n normalMode();\n }\n\n if(gameState.gameDifficulty ==='hard'){\n hardMode();\n }\n\n}","function startGame() {\n createAnsArray();\n playAnswer();\n }","function startGame() {\n removeSplashScreen();\n if (gameOverScreen) {\n removeGameOverScreen();\n } else if (youWinScreen){\n removeYouWinScreen();\n }\n createGameScreen();\n\n game = new Game(gameScreen);\n game.start();\n}","function startGame() {\n\t\n\t// fill the question div with new random question\n\tgenerateQuestion();\n\t\n\t// start the timer\n\tmoveProgressBar();\n}","function startGame() {\n //hide the deal button\n hideDealButton();\n //show the player and dealer's card interface\n showCards();\n //deal the player's cards\n getPlayerCards();\n //after brief pause, show hit and stay buttons\n setTimeout(displayHitAndStayButtons, 2000);\n }","function startGame() {\n\n game.updateDisplay();\n game.randomizeShips();\n $(\"#resetButton\").toggleClass(\"hidden\");\n $(\"#startButton\").toggleClass(\"hidden\");\n game.startGame();\n game.updateDisplay();\n saveGame();\n}","function startGame()\n{\n\tconsole.log(\"startGame()\");\n\n\taddEvent(window, \"keypress\", keyPressed);\n\n\tfor(var i = 0; i < app.coverImgArr.length; i++)\n\t\tapp.coverImgArr[i].style.visibility = 'visible';\n\n\tinitBgImg();\n\tinitTileImg();\n\tinitCoverImg();\n\n\tapp.startBtn.disabled = true;\n\tapp.endBtn.disabled = false;\n\n\tfor(var i = 0; i < app.coverImgArr.length; i++){\n\t\taddEvent(app.coverImgArr[i], \"click\", tileClick);\n\t}\n}","function startGame() {\n\tinitGlobals();\n\n\t//set the game to call the 'update' method on each tick\n\t_intervalId = setInterval(update, 1000 / fps);\n}","function gameStart() {\n\t//maybe add gameOverStatus\n\t//initial gameStatus\n\tmessageBoard.innerText = \"Game Start!\\n\" + \"Current Score: \" + counter + \" points\";\n\tcreateBoard();\n\tshuffleCards();\n}","function start() {\n\t\t\t/* Stop the engine just in case it's already running. This function is called every time the Launch Button is hit. */\n\t\t\tengine.stop();\n\t\t\t/* Start the engine at 60fps. Why not? This is a simple game, run it at FULL SPEED, CAPTAIN!!! */\n\t\t\tengine.start(1000 / 60);\n\t\t\tdisplay.canvas.addEventListener(\"touchstart\", touchStartDisplay);\n\t\t\twindow.addEventListener(\"resize\", resizeWindow);\n\t\t\tresizeWindow();\n\t\t}","StartGame(player, start){\n this.scene.start('level1');\n }","function gameStart(){\n\t\tplayGame = true;\n\t\tmainContentRow.style.visibility = \"visible\";\n\t\tscoreRow.style.visibility = \"visible\";\n\t\tplayQuitButton.style.visibility = \"hidden\";\n\t\tquestionPool = getQuestionPool(answerPool,hintPool);\n\t\tcurrentQuestion = nextQuestion();\n}","startGame() {\n if (this.tick <= 50) {\n this.tutorial.alpha -= 0.02;\n this.fireToContinue.alpha -= 0.02;\n this.bg.alpha -= 0.02;\n this.star.alpha -= 0.02;\n }\n else {\n this.startBgm.stop();\n this.scene.stop();\n this.scene.start('mainGame', { remapped: this.remapped, remapKeys: this.remapKeys });\n }\n }","function startGame () {\n const deck = freshDeck()\n shuffleDeck(deck)\n const deckMidpoint = Math.ceil(deck.length / 2)\n // setPlayerDeck(deck.slice(0, deckMidpoint))\n // setComputerDeck(deck.slice(deckMidpoint, deck.length))\n setPlayerDeck(deck.slice(0, 3))\n setComputerDeck(deck.slice(3, 6))\n console.log(\"started Game\");\n setStart(true);\n setDoneWithGame(false);\n\n\n }","function startGame() {\n\tdisplayCharacterStats(null);\n\n\treturn;\n}","function startGame(){\n startScene.visible = false;\n helpScene.visible = false;\n gameOverScene.visible = false;\n gameScene.visible = true;\n\n //Reset starting variables\n //startTime = new Date;\n time = 0;\n slowTime = 10000; //in milliseconds\n player.x = 640;\n player.y = 360;\n activated = false;\n spawnTime = 0;\n createCircles(5);\n updateTime(time);\n updateSlow(slowTime);\n\n paused = false;\n}","start() {\n if (this.state == STATES.WAITING || this.state == STATES.GAMEOVER) {\n var d = new Date();\n var t = d.getTime();\n this.gameStart = t;\n this.gameStart2 = t;\n this.gameMode = this.scene.gameMode;\n this.gameLevel = this.scene.gameLevel;\n this.makeRequest(\"initialBoard\", this.verifyTabReply);\n this.timeleft = TIME_LEFT;\n this.SaveForMovie();\n // if (this.state == STATES.DISPLAYED) {\n this.state = STATES.READY_TO_PICK_PIECE;\n //}\n }\n }","function startGame() {\n gameScreen=1;\n}","function startGame() {\n removeClicks();\n resetGame();\n addPattern();\n addPattern();\n playPattern();\n}","function startGame() {\n console.log('start button clicked')\n $('.instructions').hide();\n $('.title').show();\n $('.grid_container').show();\n $('.score_container').show();\n $('#timer').show();\n // soundIntro('sound/Loading_Loop.wav');\n }","function startGame() {\n isGameOver = false\n setUpGame()\n alienMoveTimer = setInterval(moveAliens, 1)\n gameTimer = setInterval(playGame, 1000)\n }","function startRandomGame() {\n\n}","function playGame() {\n}","function runGame() {\n\tvar g = new Main('game', 'container');\n\tg.init();\n}","function start() {\n room.sendToPeers(GAME_START);\n onStart();\n}","start() {\n this.gameStart = true;\n }","function startGame() {\n if(!presence.ballIsSpawned) {\n fill(start.color.c, start.color.saturation, start.color.brightness);\n stroke(start.color.c, start.color.saturation, start.color.brightness)\n if((windowWidth < 600) && (windowHeight < 600)) {\n textSize(20);\n text(\"PRESS ENTER TO START GAME\", windowWidth/4.2, windowHeight/2.5);\n textSize(15);\n text(\"(First to 7 Wins)\", windowWidth * 0.41, windowHeight * 0.47);\n }\n if((windowWidth > 601) && (windowHeight > 601)) {\n textSize(30)\n text(\"PRESS ENTER TO START GAME\", windowWidth * 0.35, windowHeight/2.5);\n textSize(20);\n text(\"(First to 7 Wins)\", start.textX + start.textX * 0.265, windowHeight * 0.44);\n }\n if(mode == 'single'){\n if((windowWidth > 601) && (windowHeight > 601)){\n text(\"Mode: \" + mode, windowWidth * 0.9, windowHeight * 0.08);\n textSize(18);\n text(\"USE ARROWS TO MOVE\", start.textX + start.textX * 0.2, windowHeight * 0.48);\n textSize(14);\n text(\"PRESS SHIFT FOR TWO PLAYER\", start.textX + start.textX * 0.2, windowHeight * 0.52);\n }\n if((windowWidth < 600) && (windowHeight < 600)){\n text(\"Mode: \" + mode, windowWidth * 0.8, windowHeight * 0.08);\n textSize(14);\n text(\"USE ARROWS TO MOVE\", start.textX + start.textX * 0.01, start.textY + start.textY * 0.04);\n textSize(12);\n text(\"PRESS SHIFT FOR TWO PLAYER\", windowWidth * 0.35, start.textY + start.textY * 0.16);\n defaultBallSpeed = 4;\n }\n }\n if(mode == 'two'){\n if((windowWidth > 601) && (windowHeight > 601)) {\n textSize(20);\n text(\"Mode: \" + mode, windowWidth * 0.9, windowHeight * 0.08)\n textSize(18);\n text(\"USE Q, A, P, L TO MOVE\", windowWidth * 0.43, windowHeight * 0.48);\n textSize(14);\n text(\"PRESS SHIFT FOR ONE PLAYER\", start.textX + start.textX * 0.2, windowHeight * 0.52);\n }\n }\n \n start.color.c += 1;\n if(start.color.c > 359) {\n start.color.c = 0;\n }\n }\n }","function begin_game(){\n\tload_resources();\n\tController = new Control();\n\n\tPlayerGame = new Game(ctx, gameWidth, gameHeight, 10);\t\t// (context, x_boundary, y_boundary, ms_delay)\n\tPlayerGame.clearColor = \"rgb(50,43,32)\";\n\tCurrPlayer = new Player(50, 400);\t\t\t\t// (x-position, y-position)\n\n\tloadGame();\n\tframe();\n}","start() {\n this.isRunning = true;\n this.secondsChecker = new SecondsChecker(Date.now(), Date.now() + 60);\n\n if (typeof this.onGameStart === 'function') {\n this.onGameStart();\n }\n }","function StartNewGame() {\n\tsnowStorm.stop();\n\tsnowStorm.freeze();\n\n\tvar params = {\n\t\tchosen: \"riley\"\n\t};\n\n\t_gameObj = new Game();\n\t_gameObj.SetupCanvas(params);\n\t$j(window).resize(function () {\n\t\t_gameObj.SetupCanvas(params);\n\t});\n\n\t$j.mobile.changePage($j('#game'));\n}","function startGame() {\n\t// Set variables\n\tpreviousNum = null;\n\tgameOn = true;\n\tguessedArray = [];\n\tletterString = \"\";\n\t// Clear displays\n\tclearWord();\n\tclearScreen();\n\tclearScore();\n\tupdateScore();\n\t// Set displays and media\n\tsetMedia();\n\tgetRandomNum();\n\tgetWord();\n\tdisplayWord();\n\n}","function startGame() {\r\n if (pressed == 0) {\r\n createRain();\r\n animate();\r\n }\r\n }","function start () {\n room.sendToPeers(GAME_START)\n onStart()\n}","start() {\n this._state = 'RUNNING'\n this._start_time = _.now()\n Logger.info('Enabling the game modes')\n _.forEach(this._games, (game) => game._enable())\n Logger.info(`The game(${this._id}) has started as ${moment(this._start_time).format('l LTS')}...`)\n this.event_manager.trigger('game_start', [this])\n // spectators and players should be handle differently\n this._teams.forEach((team) => team.start())\n }","start()\n {\n this.battle.start();\n this.gameMap.start();\n this.screen.start();\n\n Character.createPlayer();\n\n // Start game\n // show introduction, character creation screen, etc.\n // just start world movement for now\n emit('map'); \n }","function realStartGame() {\n\t$.unblockUI();\n\n\t//$(\"body\").get(0).style.cursor = \"url('/static/cursor.cur')\";\n\t//$(\"body\").get(0).style.cursor = 'crosshair'; //\"url('/static/cursor.cur')\";\n\t\n\t//$(document).ajaxStop(getAll);\n\tsetTimeout( getAll, 500 );\n\t\n\tsetSelection( null );\n\tsetAction( null );\n\tdrawMap();\n\tshowAllActions( null );\n\t\n\t// Start anims loop\n\tsetInterval( loopObjects, 40 );\n\tsetInterval( loopStatus, 5000 );\n}","function startGame() {\n hideStart();\n hideSaveScoreForm();\n resetFinalScore();\n clearCurrentQuestion();\n resetUserScore();\n displayCurrentQuestion();\n startTimer();\n}","function startGame() {\n water = 0;\n corn = 2;\n beans = 2;\n squash = 2;\n month = 1;\n gameOver = false;\n \n initGameBoard();\n playGame();\n}","function start(data) {\n startGameTimer();\n}","function startTheGame() {\n if (opponentReady) {\n startNewRound();\n }\n }","start() {\n\t\tplaySound( 'lvls' );\n\t\tgame.loading = true;\n\n\t\t// the game noticibly lags while setting the terrain, so this makes it look like a loading\n\t\t// black screen for 100 ms whenever it is loaded\n\t\tsetTimeout( () => {\n\t\t\tpause_name = '';\n\n\t\t\t//I think this maybe saved like 8 bytes over just saying game.loading, game.started... etc\n\t\t\tObject.assign( game, {\n\t\t\t\tloading: 0,\n\t\t\t\tstarted: 1,\n\t\t\t\tpaused: 0,\n\t\t\t\tscrolling: 1,\n\t\t\t\tlvln: 1,\n\t\t\t\ta: [],\n\t\t\t\tspawns: [],\n\t\t\t\tpl: new Player(),\n\t\t\t\tscore: 0,\n\t\t\t\tsmult: 1,\n\t\t\t\tspfr: 0,\n\t\t\t\ttss: TSS,\n\t\t\t\ti: null\n\t\t\t} );\n\t\t\tgame.createObjects();\n\t\t\tgame.camToLvl( game.lvln );\n\t\t\tgame.fade( true );\n\t\t}, 100 );\n\t}","run() {\n logger.info('Starting game...');\n this.running = true;\n this.update();\n }","startGame() {\r\n // Hide start screen overlay\r\n document.getElementById('overlay').style.display = 'none';\r\n\r\n // get a random phrase and set activePhrase property\r\n this.activePhrase = this.getRandomPhrase();\r\n this.activePhrase.addPhrasetoDisplay();\r\n }","function startGame(playerCount) {\r\n\t\r\n\tGC.initalizeGame(playerCount);\r\n\t\r\n\tUI.setConsoleHTML(\"The game is ready to begin! There will be a total of \" + GC.playerCount + \" players.<br />Click to begin!\");\r\n\tUI.clearControls();\r\n\tUI.addControl(\"begin\",\"button\",\"Begin\",\"takeTurn()\");\r\n\t\r\n\tGC.drawPlayersOnBoard();\r\n}","function startNewGame() {\n const newGame = new GameLoop();\n newGame.startGame(true);\n}","function startGame() {\n renderNewWord();\n startBar();\n }","function main(mainFunction){\n game.start=mainFunction;\n}","function startGame(index){\n\tgamePaused = false;\n\tmapStarted = true;\n}","function startGame(){\n /*\n Start the game.\n */\n bot_enabled = true;\n console.log(\"STARTING\");\n\n // Wait until the conexion is stablished\n start_game();\n setTimeout(update,1000);\n}","function startPlayerGame(){\r\n\t\t\t\r\n\t\tdocument.getElementById(\"gameoverTitle\").style.display = 'none';\r\n\t\tdocument.getElementById(\"startTitle\").style.opacity = 0;\r\n\t\t\r\n\t\tlevel = 1;\r\n\t\tlifes = maxLifes;\r\n\t\tscore = 0;\r\n\t\tregisterPlayerGameEvents();\r\n\t\tgame.setLevel(level);\r\n\t\t\r\n\t\t//fade to white -> reset the game -> let the camera look and follow the paddle ->\r\n\t\t//pause the game -> start camera from certain position -> show blocks falling ->\r\n\t\t//fade to normal -> move camera to play position\r\n\t\tfade(0,1,function(){\r\n\t\t\tgame.reset(function(){\r\n\t\t\t\tgame.setCameraLookAtMesh(game.getPaddle().mesh);\r\n\t\t\t\tgame.cameraFollowsPaddle(true);\r\n\t\t\t\t\r\n\t\t\t\tgame.togglePause(function(){\r\n\t\t\r\n\t\t\t\t\tgame.getCamera().setLens(25)\r\n\t\t\t\t\tgame.getCamera().position.x = 0;\r\n\t\t\t\t\tgame.getCamera().position.y = -7;\r\n\t\t\t\t\tgame.getCamera().position.z = 2;\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t\tanimateBricksFadeIn(function(){\r\n\t\t\r\n\t\t\t\t\t\thud.drawGameStatistics(score,level,lifes);\r\n\t\t\t\t\t\tgame.togglePause();\t\t\t\r\n\t\t\t\t\t});\r\n\t\t\t\t\r\n\t\t\t\t\tfade(1,-1,function(){});\r\n\t\t\t\t\tgame.getComposer().passes[2].copyUniforms.opacity.value = 0.7;\r\n\t\t\t\t\tgame.tweenCamera(Tween.easeInOutQuad,{yTarget:-7,zTarget:6, xTarget:0});\r\n\t\t\t\t\t\t\t\t\t\t\r\n\t\t\t\t});\r\n\t\t\t});\r\n\t\t});\r\n\t}","function startGame(){\n game = new Phaser.Game(790, 400, Phaser.AUTO, 'game', stateActions);\n}","function startGame() {\n //START THE FIRST ROUND\n console.log(\"Game will Begin\");\n randomColor();\n playPattern();\n if (round === 0) {\n update();\n }\n}","function run () {\n var $canvasBox;\n \n $('#newGameLink').removeAttr('disabled'); // can click new game link\n\n if (m.debug > m.NODEBUG) { console.log('screens.gameScreen.run'); }\n \n if (needsInit) {\n \n // disable mouse events on canvas and halt the game loop when we return to the menu\n $('#gameMenuLink')\n .click( function (event) {\n m.playtouch.unhookMouseEvents();\n m.Model.stopGameNow();\n m.Audio.beQuiet();\n m.screens.showScreen('menuScreen');\n });\n \n // shuffle and deal if we ask nicely\n $('#newGameLink')\n .click( function (event) {\n // disallow double-clicks, also disabled in the model while dealing\n if ( $(this).attr('disabled') === 'disabled' ) { return false; } \n $(this).attr('disabled', 'disabled'); \n // if you start a new game before winning, give 'em the not impressed face\n if (m.Settings.getPlaySounds() && !hasWon) {\n m.Sounds.playSoundFor(m.Sounds.QUIT);\n }\n \n // now we play\n setTimeout( function() {\n m.Model.stopGameNow();\n m.screens.showScreen('gameScreen');\n }, m.Settings.Delays.Quit);\n return false;\n });\n \n }\n needsInit = false;\n \n // start the game animation loop\n m.gameloop.setLoopFunction(m.view.refreshDisplay);\n \n // start a new game\n m.view.newGame($('#gameViewBox'));\n \n // hook up event handling\n m.playtouch.hookMouseEvents(); \n\n // resize the game pane if needed after a short delay\n $(window)\n .resize(function (event) {\n setTimeout( function () {\n mikeycell.view.setMetrics();\n }, 500);\n });\n\n }","function startGame() {\n timerStat = true;\n showGamePanel();\n runTimer();\n displayImage();\n}","function startGame()\n{\n\tcreateDeck();\n\tshuffleDeck();\n\tcreatePlayers(2);\n\n\tdrawCard(0, 0);\n\tdrawCard(1, 0);\n\tdrawCard(0, 0);\n\tdrawCard(1, 0);\n\n\n\n\tdisplayCards();\n\tdisplayOptions();\n}"],"string":"[\n \"function startGame() { }\",\n \"function start()\\r\\n{\\r\\ninit();\\r\\ngame.start();\\r\\n}\",\n \"function startGame() {\\n init();\\n}\",\n \"function startGame() {\\n\\tsetup();\\n\\tmainLoop();\\n}\",\n \"function startgame() {\\t\\r\\n\\tloadImages();\\r\\nsetupKeyboardListeners();\\r\\nmain();\\r\\n}\",\n \"function startGame(){\\n initialiseGame();\\n}\",\n \"function start(){\\n\\t\\t //Initialize this Game. \\n newGame(); \\n //Add mouse click event listeners. \\n addListeners();\\n\\t\\t}\",\n \"function startGame() {\\n myGameArea.start();\\n}\",\n \"function startGame(){\\n hideContent();\\n unhideContent();\\n assignButtonColours();\\n generateDiffuseOrder();\\n clearInterval(interval);\\n setlevel();\\n countdown(localStorage.getItem(\\\"theTime\\\"));\\n listeningForClick();\\n}\",\n \"function start() {\\n\\tclear();\\n\\tc = new GameManager();\\n\\tc.startGame();\\t\\n}\",\n \"function init() {\\n gameStart();\\n}\",\n \"function startGame(){\\n\\tvar game = new Game();\\n\\tgame.init();\\n}\",\n \"function startGame() {\\n\\t\\tstatus.show();\\n\\t\\tinsertStatusLife();\\n\\t\\tsetLife(100);\\n\\t\\tsetDayPast(1);\\n\\t}\",\n \"function startGame(){\\n \\t\\tGameJam.sound.play('start');\\n \\t\\tGameJam.sound.play('run');\\n\\t\\t\\n\\t\\t// Put items in the map\\n\\t\\titemsToObstacles(true);\\n\\n\\t\\t// Create the prisoner path\\n\\t\\tGameJam.movePrisoner();\\n\\n\\t\\t// Reset items, we dont want the user to be able to drag and drop them\\n \\t\\tGameJam.items = [];\\n \\t\\t\\n \\t\\tfor (var item in GameJam.levels[GameJam.currentLevel].items) {\\n \\t\\t\\tGameJam.levels[GameJam.currentLevel].items[item].count = GameJam.levels[GameJam.currentLevel].items[item].countStart;\\n \\t\\t}\\n\\n\\t\\t// Reset prisoner speed\\n\\t\\tGameJam.prisoner[0].sprite.speed = 5;\\n\\n\\t\\t// Reset game time\\n\\t\\tGameJam.tileCounter = 0;\\n\\t\\tGameJam.timer.className = 'show';\\n\\t\\tdocument.getElementById('obstacles').className = 'hide';\\n\\t\\tdocument.getElementById('slider').className = 'hide';\\n\\t\\tdocument.getElementById('start-button-wrapper').className = 'hide';\\n\\n\\t\\t// Game has started\\n\\t\\tGameJam.gameStarted = true;\\n\\n\\t\\tGameJam.gameEnded = false;\\n\\n\\t\\tdocument.getElementById('static-canvas').className = 'started';\\n\\n\\t\\tconsole.log('-- Game started');\\n\\t}\",\n \"function startGame() {\\n\\tupdateGameState()\\n\\tmoveTetroDown()\\n}\",\n \"function startGame() {\\n\\n\\t\\tvar gss = new Game(win.canvas);\\n\\n\\t\\t// shared zone used to share resources.\\n gss.set('keyboard', new KeyboardInput());\\n gss.set('loader', loader);\\n\\n\\t\\tgss.start();\\n\\t}\",\n \"function startGame() {\\n\\t\\tvar game = document.getElementById(\\\"game-area\\\");\\n\\t\\ttimeStart();\\t\\t\\t\\t\\n\\t}\",\n \"function startGame(){\\n getDictionary();\\n var state = $.deparam.fragment();\\n options.variant = state.variant || options.variant;\\n makeGameBoard();\\n loadState();\\n }\",\n \"function startGame() {\\n\\tinitGame();\\n\\tsetInterval(updateGame, 90);\\n}\",\n \"function startGame(mapName = 'galaxy'){\\n toggleMenu(currentMenu);\\n if (showStats)\\n $('#statsOutput').show();\\n $('#ammoBarsContainer').show();\\n scene.stopTheme();\\n scene.createBackground(mapName);\\n if (firstTime) {\\n firstTime = false;\\n createGUI(true);\\n render();\\n } else {\\n requestAnimationFrame(render);\\n }\\n}\",\n \"function startGame(){\\n countdown();\\n question();\\n solution();\\n }\",\n \"function startGame() {\\n //init the game\\n gWorld = new gameWorld(6);\\n gWorld.w = cvs.width;\\n gWorld.h = cvs.height;\\n \\n gWorld.state = 'RUNNING';\\n gWorld.addObject(makeGround(gWorld.w, gWorld.h));\\n gWorld.addObject(makeCanopy(gWorld.w));\\n gWorld.addObject(makeWalker(gWorld.w, gWorld.h));\\n gWorld.addObject(makeWalker(gWorld.w, gWorld.h,true));\\n gWorld.addObject(makePlayer());\\n \\n startBox.active = false;\\n pauseBtn.active = true;\\n soundBtn.active = true;\\n touchRightBtn.active = true;\\n touchLeftBtn.active = true;\\n replayBtn.active = false;\\n \\n gameLoop();\\n }\",\n \"function on_load()\\n{\\n\\tgame.start();\\n}\",\n \"function startGame() {\\n (new SBar.Engine()).startGame();\\n}\",\n \"function StartGame()\\r\\n {\\r\\n\\r\\n\\t\\r\\n\\tinit();\\r\\n\\tanimate();\\t\\r\\n\\t}\",\n \"function startGame() {\\n logger.log('Staring a new game');\\n // Hide any dialog that might have started this game\\n $('.modal').modal('hide');\\n\\n // Reset the board\\n board.init();\\n\\n // Init the scores\\n level = 1;\\n score = 0;\\n totalShapesDropped = 1;\\n delay = 500; // 1/2 sec\\n updateUserProgress();\\n\\n // Init the shapes\\n FallingShape = previewShape;\\n previewShape = dropNewShape();\\n\\n // Reset game state\\n drawPreview();\\n pauseDetected = false;\\n isPaused = false;\\n isGameStarted = true;\\n isStopped = false;\\n\\n // Update the button if this is the first game\\n $('#newGameButton').text(\\\"New Game\\\");\\n\\n // Start dropping blocks\\n advance();\\n }\",\n \"function loadGame(){\\n myGameArea.start();\\n}\",\n \"function start(){\\n initializeBoard();\\n playerTurn();\\n }\",\n \"function startGame () {\\n\\tplay = true;\\n\\n}\",\n \"function startGame() {\\n pairMovieWithSounds();\\n randomSounds(movie);\\n addPhraseToDisplay();\\n keyboardSetup();\\n}\",\n \"function startGame() {\\n\\t\\t\\tvm.gameStarted = true;\\n\\t\\t\\tMastermind.startGame();\\n\\t\\t\\tcurrentAttempt = 1;\\n\\t\\t\\tactivateAttemptRow();\\n\\t\\t}\",\n \"function startGame () {\\n if (!gameStarted) { // ensure setInterval only fires once\\n setInterval(countdown, 1000)\\n generateList() // start game generates first order, subsequent order generated by serve\\n setTimeout(gameOver, 90000) // cause endGameOverlay DOM\\n }\\n gameStarted = true\\n removeStartScreen() //remove instructions\\n createBoard() //create title and bottom burger in playArea\\n }\",\n \"function startGame(){\\n gameArea.start();\\n debuggerLog(\\\"The game has started!\\\");\\n}\",\n \"function startGame() {\\n incrementGameStep({ gameId, gameData });\\n }\",\n \"function startGame() {\\n if (isGameRunning) return;\\n isGameRunning = true;\\n hideAllMenus();\\n setupScore();\\n updateScoreDisplay();\\n shootBulletsRandomlyLoop();\\n}\",\n \"start() {\\n\\t\\tthis.emit(\\\"game_start\\\");\\n\\t}\",\n \"function NewGame() {\\n\\t// Your code goes here for starting a game\\n\\tprint(\\\"Complete this method in Singleplayer.js\\\");\\n}\",\n \"function GameStart() {\\n\\tGenerateCharacter();\\n\\tCreateTileGrid();\\n\\tCreateGraphicsGrid();\\n\\tCreateNoteGrid();\\n\\tGenerateDungeon();\\n\\tRoundTimer();\\n}\",\n \"startGame () {\\n game.state.start('ticTac')\\n }\",\n \"function startGame()\\r\\n{\\r\\n\\tcontext = loadCanvasContext();\\r\\n\\tmarker = loadMarkerCanvas();\\r\\n\\r\\n\\tif(context && marker)\\r\\n\\t{\\r\\n\\t\\tsetArrays();\\r\\n\\t\\tisNewRound = false;\\r\\n\\t\\tstart();\\r\\n\\t\\tsetRound();\\r\\n\\t\\tdoSpeeding();\\r\\n\\t\\tisNewRound = true;\\r\\n\\t\\texplainHowToMove();\\r\\n\\t\\tspeed = startingSpeed;\\r\\n\\t\\t$(\\\"#rounds\\\").text(\\\"1\\\");\\r\\n\\t\\tchangeInterval(speed);\\r\\n\\t}\\r\\n\\telse\\r\\n\\t{\\r\\n\\t\\talert(\\\"Cannot Load Canvas\\\");\\r\\n\\t}\\r\\n}\",\n \"startGame() {\\r\\n\\t\\tthis.board.drawHTMLBoard();\\r\\n\\t\\tthis.activePlayer.activeToken.drawHTMLToken();\\r\\n\\t\\tthis.ready = true;\\r\\n\\t}\",\n \"startGame() {\\n //@todo: have this number set to the difficulty, easy = 3, normal = 6, hard = 9\\n StateActions.onStart(5, 5, this.state.difficulty);\\n StateStore.setGameState(1);\\n this.gameState();\\n }\",\n \"function startGame() {\\n lobby.hide();\\n game.start();\\n animate();\\n}\",\n \"runGame(){\\n\\t\\t\\tthis.scene.runGame();\\n\\t\\t}\",\n \"function gamestart() {\\n\\t\\tshowquestions();\\n\\t}\",\n \"function startGame(){\\n gBoard = buildBoard()\\n renderBoard(gBoard)\\n placeMines()\\n setMinesNegsCount(gBoard)\\n openNegs(gBoard, gGame.safeCell.i, gGame.safeCell.j)\\n renderBoard(gBoard)\\n startTimer()\\n}\",\n \"function startGame() {\\n if(gameState.gameDifficulty === 'easy')\\n {\\n easyMode();\\n } \\n if(gameState.gameDifficulty ==='normal'){\\n normalMode();\\n }\\n\\n if(gameState.gameDifficulty ==='hard'){\\n hardMode();\\n }\\n\\n}\",\n \"function startGame() {\\n createAnsArray();\\n playAnswer();\\n }\",\n \"function startGame() {\\n removeSplashScreen();\\n if (gameOverScreen) {\\n removeGameOverScreen();\\n } else if (youWinScreen){\\n removeYouWinScreen();\\n }\\n createGameScreen();\\n\\n game = new Game(gameScreen);\\n game.start();\\n}\",\n \"function startGame() {\\n\\t\\n\\t// fill the question div with new random question\\n\\tgenerateQuestion();\\n\\t\\n\\t// start the timer\\n\\tmoveProgressBar();\\n}\",\n \"function startGame() {\\n //hide the deal button\\n hideDealButton();\\n //show the player and dealer's card interface\\n showCards();\\n //deal the player's cards\\n getPlayerCards();\\n //after brief pause, show hit and stay buttons\\n setTimeout(displayHitAndStayButtons, 2000);\\n }\",\n \"function startGame() {\\n\\n game.updateDisplay();\\n game.randomizeShips();\\n $(\\\"#resetButton\\\").toggleClass(\\\"hidden\\\");\\n $(\\\"#startButton\\\").toggleClass(\\\"hidden\\\");\\n game.startGame();\\n game.updateDisplay();\\n saveGame();\\n}\",\n \"function startGame()\\n{\\n\\tconsole.log(\\\"startGame()\\\");\\n\\n\\taddEvent(window, \\\"keypress\\\", keyPressed);\\n\\n\\tfor(var i = 0; i < app.coverImgArr.length; i++)\\n\\t\\tapp.coverImgArr[i].style.visibility = 'visible';\\n\\n\\tinitBgImg();\\n\\tinitTileImg();\\n\\tinitCoverImg();\\n\\n\\tapp.startBtn.disabled = true;\\n\\tapp.endBtn.disabled = false;\\n\\n\\tfor(var i = 0; i < app.coverImgArr.length; i++){\\n\\t\\taddEvent(app.coverImgArr[i], \\\"click\\\", tileClick);\\n\\t}\\n}\",\n \"function startGame() {\\n\\tinitGlobals();\\n\\n\\t//set the game to call the 'update' method on each tick\\n\\t_intervalId = setInterval(update, 1000 / fps);\\n}\",\n \"function gameStart() {\\n\\t//maybe add gameOverStatus\\n\\t//initial gameStatus\\n\\tmessageBoard.innerText = \\\"Game Start!\\\\n\\\" + \\\"Current Score: \\\" + counter + \\\" points\\\";\\n\\tcreateBoard();\\n\\tshuffleCards();\\n}\",\n \"function start() {\\n\\t\\t\\t/* Stop the engine just in case it's already running. This function is called every time the Launch Button is hit. */\\n\\t\\t\\tengine.stop();\\n\\t\\t\\t/* Start the engine at 60fps. Why not? This is a simple game, run it at FULL SPEED, CAPTAIN!!! */\\n\\t\\t\\tengine.start(1000 / 60);\\n\\t\\t\\tdisplay.canvas.addEventListener(\\\"touchstart\\\", touchStartDisplay);\\n\\t\\t\\twindow.addEventListener(\\\"resize\\\", resizeWindow);\\n\\t\\t\\tresizeWindow();\\n\\t\\t}\",\n \"StartGame(player, start){\\n this.scene.start('level1');\\n }\",\n \"function gameStart(){\\n\\t\\tplayGame = true;\\n\\t\\tmainContentRow.style.visibility = \\\"visible\\\";\\n\\t\\tscoreRow.style.visibility = \\\"visible\\\";\\n\\t\\tplayQuitButton.style.visibility = \\\"hidden\\\";\\n\\t\\tquestionPool = getQuestionPool(answerPool,hintPool);\\n\\t\\tcurrentQuestion = nextQuestion();\\n}\",\n \"startGame() {\\n if (this.tick <= 50) {\\n this.tutorial.alpha -= 0.02;\\n this.fireToContinue.alpha -= 0.02;\\n this.bg.alpha -= 0.02;\\n this.star.alpha -= 0.02;\\n }\\n else {\\n this.startBgm.stop();\\n this.scene.stop();\\n this.scene.start('mainGame', { remapped: this.remapped, remapKeys: this.remapKeys });\\n }\\n }\",\n \"function startGame () {\\n const deck = freshDeck()\\n shuffleDeck(deck)\\n const deckMidpoint = Math.ceil(deck.length / 2)\\n // setPlayerDeck(deck.slice(0, deckMidpoint))\\n // setComputerDeck(deck.slice(deckMidpoint, deck.length))\\n setPlayerDeck(deck.slice(0, 3))\\n setComputerDeck(deck.slice(3, 6))\\n console.log(\\\"started Game\\\");\\n setStart(true);\\n setDoneWithGame(false);\\n\\n\\n }\",\n \"function startGame() {\\n\\tdisplayCharacterStats(null);\\n\\n\\treturn;\\n}\",\n \"function startGame(){\\n startScene.visible = false;\\n helpScene.visible = false;\\n gameOverScene.visible = false;\\n gameScene.visible = true;\\n\\n //Reset starting variables\\n //startTime = new Date;\\n time = 0;\\n slowTime = 10000; //in milliseconds\\n player.x = 640;\\n player.y = 360;\\n activated = false;\\n spawnTime = 0;\\n createCircles(5);\\n updateTime(time);\\n updateSlow(slowTime);\\n\\n paused = false;\\n}\",\n \"start() {\\n if (this.state == STATES.WAITING || this.state == STATES.GAMEOVER) {\\n var d = new Date();\\n var t = d.getTime();\\n this.gameStart = t;\\n this.gameStart2 = t;\\n this.gameMode = this.scene.gameMode;\\n this.gameLevel = this.scene.gameLevel;\\n this.makeRequest(\\\"initialBoard\\\", this.verifyTabReply);\\n this.timeleft = TIME_LEFT;\\n this.SaveForMovie();\\n // if (this.state == STATES.DISPLAYED) {\\n this.state = STATES.READY_TO_PICK_PIECE;\\n //}\\n }\\n }\",\n \"function startGame() {\\n gameScreen=1;\\n}\",\n \"function startGame() {\\n removeClicks();\\n resetGame();\\n addPattern();\\n addPattern();\\n playPattern();\\n}\",\n \"function startGame() {\\n console.log('start button clicked')\\n $('.instructions').hide();\\n $('.title').show();\\n $('.grid_container').show();\\n $('.score_container').show();\\n $('#timer').show();\\n // soundIntro('sound/Loading_Loop.wav');\\n }\",\n \"function startGame() {\\n isGameOver = false\\n setUpGame()\\n alienMoveTimer = setInterval(moveAliens, 1)\\n gameTimer = setInterval(playGame, 1000)\\n }\",\n \"function startRandomGame() {\\n\\n}\",\n \"function playGame() {\\n}\",\n \"function runGame() {\\n\\tvar g = new Main('game', 'container');\\n\\tg.init();\\n}\",\n \"function start() {\\n room.sendToPeers(GAME_START);\\n onStart();\\n}\",\n \"start() {\\n this.gameStart = true;\\n }\",\n \"function startGame() {\\n if(!presence.ballIsSpawned) {\\n fill(start.color.c, start.color.saturation, start.color.brightness);\\n stroke(start.color.c, start.color.saturation, start.color.brightness)\\n if((windowWidth < 600) && (windowHeight < 600)) {\\n textSize(20);\\n text(\\\"PRESS ENTER TO START GAME\\\", windowWidth/4.2, windowHeight/2.5);\\n textSize(15);\\n text(\\\"(First to 7 Wins)\\\", windowWidth * 0.41, windowHeight * 0.47);\\n }\\n if((windowWidth > 601) && (windowHeight > 601)) {\\n textSize(30)\\n text(\\\"PRESS ENTER TO START GAME\\\", windowWidth * 0.35, windowHeight/2.5);\\n textSize(20);\\n text(\\\"(First to 7 Wins)\\\", start.textX + start.textX * 0.265, windowHeight * 0.44);\\n }\\n if(mode == 'single'){\\n if((windowWidth > 601) && (windowHeight > 601)){\\n text(\\\"Mode: \\\" + mode, windowWidth * 0.9, windowHeight * 0.08);\\n textSize(18);\\n text(\\\"USE ARROWS TO MOVE\\\", start.textX + start.textX * 0.2, windowHeight * 0.48);\\n textSize(14);\\n text(\\\"PRESS SHIFT FOR TWO PLAYER\\\", start.textX + start.textX * 0.2, windowHeight * 0.52);\\n }\\n if((windowWidth < 600) && (windowHeight < 600)){\\n text(\\\"Mode: \\\" + mode, windowWidth * 0.8, windowHeight * 0.08);\\n textSize(14);\\n text(\\\"USE ARROWS TO MOVE\\\", start.textX + start.textX * 0.01, start.textY + start.textY * 0.04);\\n textSize(12);\\n text(\\\"PRESS SHIFT FOR TWO PLAYER\\\", windowWidth * 0.35, start.textY + start.textY * 0.16);\\n defaultBallSpeed = 4;\\n }\\n }\\n if(mode == 'two'){\\n if((windowWidth > 601) && (windowHeight > 601)) {\\n textSize(20);\\n text(\\\"Mode: \\\" + mode, windowWidth * 0.9, windowHeight * 0.08)\\n textSize(18);\\n text(\\\"USE Q, A, P, L TO MOVE\\\", windowWidth * 0.43, windowHeight * 0.48);\\n textSize(14);\\n text(\\\"PRESS SHIFT FOR ONE PLAYER\\\", start.textX + start.textX * 0.2, windowHeight * 0.52);\\n }\\n }\\n \\n start.color.c += 1;\\n if(start.color.c > 359) {\\n start.color.c = 0;\\n }\\n }\\n }\",\n \"function begin_game(){\\n\\tload_resources();\\n\\tController = new Control();\\n\\n\\tPlayerGame = new Game(ctx, gameWidth, gameHeight, 10);\\t\\t// (context, x_boundary, y_boundary, ms_delay)\\n\\tPlayerGame.clearColor = \\\"rgb(50,43,32)\\\";\\n\\tCurrPlayer = new Player(50, 400);\\t\\t\\t\\t// (x-position, y-position)\\n\\n\\tloadGame();\\n\\tframe();\\n}\",\n \"start() {\\n this.isRunning = true;\\n this.secondsChecker = new SecondsChecker(Date.now(), Date.now() + 60);\\n\\n if (typeof this.onGameStart === 'function') {\\n this.onGameStart();\\n }\\n }\",\n \"function StartNewGame() {\\n\\tsnowStorm.stop();\\n\\tsnowStorm.freeze();\\n\\n\\tvar params = {\\n\\t\\tchosen: \\\"riley\\\"\\n\\t};\\n\\n\\t_gameObj = new Game();\\n\\t_gameObj.SetupCanvas(params);\\n\\t$j(window).resize(function () {\\n\\t\\t_gameObj.SetupCanvas(params);\\n\\t});\\n\\n\\t$j.mobile.changePage($j('#game'));\\n}\",\n \"function startGame() {\\n\\t// Set variables\\n\\tpreviousNum = null;\\n\\tgameOn = true;\\n\\tguessedArray = [];\\n\\tletterString = \\\"\\\";\\n\\t// Clear displays\\n\\tclearWord();\\n\\tclearScreen();\\n\\tclearScore();\\n\\tupdateScore();\\n\\t// Set displays and media\\n\\tsetMedia();\\n\\tgetRandomNum();\\n\\tgetWord();\\n\\tdisplayWord();\\n\\n}\",\n \"function startGame() {\\r\\n if (pressed == 0) {\\r\\n createRain();\\r\\n animate();\\r\\n }\\r\\n }\",\n \"function start () {\\n room.sendToPeers(GAME_START)\\n onStart()\\n}\",\n \"start() {\\n this._state = 'RUNNING'\\n this._start_time = _.now()\\n Logger.info('Enabling the game modes')\\n _.forEach(this._games, (game) => game._enable())\\n Logger.info(`The game(${this._id}) has started as ${moment(this._start_time).format('l LTS')}...`)\\n this.event_manager.trigger('game_start', [this])\\n // spectators and players should be handle differently\\n this._teams.forEach((team) => team.start())\\n }\",\n \"start()\\n {\\n this.battle.start();\\n this.gameMap.start();\\n this.screen.start();\\n\\n Character.createPlayer();\\n\\n // Start game\\n // show introduction, character creation screen, etc.\\n // just start world movement for now\\n emit('map'); \\n }\",\n \"function realStartGame() {\\n\\t$.unblockUI();\\n\\n\\t//$(\\\"body\\\").get(0).style.cursor = \\\"url('/static/cursor.cur')\\\";\\n\\t//$(\\\"body\\\").get(0).style.cursor = 'crosshair'; //\\\"url('/static/cursor.cur')\\\";\\n\\t\\n\\t//$(document).ajaxStop(getAll);\\n\\tsetTimeout( getAll, 500 );\\n\\t\\n\\tsetSelection( null );\\n\\tsetAction( null );\\n\\tdrawMap();\\n\\tshowAllActions( null );\\n\\t\\n\\t// Start anims loop\\n\\tsetInterval( loopObjects, 40 );\\n\\tsetInterval( loopStatus, 5000 );\\n}\",\n \"function startGame() {\\n hideStart();\\n hideSaveScoreForm();\\n resetFinalScore();\\n clearCurrentQuestion();\\n resetUserScore();\\n displayCurrentQuestion();\\n startTimer();\\n}\",\n \"function startGame() {\\n water = 0;\\n corn = 2;\\n beans = 2;\\n squash = 2;\\n month = 1;\\n gameOver = false;\\n \\n initGameBoard();\\n playGame();\\n}\",\n \"function start(data) {\\n startGameTimer();\\n}\",\n \"function startTheGame() {\\n if (opponentReady) {\\n startNewRound();\\n }\\n }\",\n \"start() {\\n\\t\\tplaySound( 'lvls' );\\n\\t\\tgame.loading = true;\\n\\n\\t\\t// the game noticibly lags while setting the terrain, so this makes it look like a loading\\n\\t\\t// black screen for 100 ms whenever it is loaded\\n\\t\\tsetTimeout( () => {\\n\\t\\t\\tpause_name = '';\\n\\n\\t\\t\\t//I think this maybe saved like 8 bytes over just saying game.loading, game.started... etc\\n\\t\\t\\tObject.assign( game, {\\n\\t\\t\\t\\tloading: 0,\\n\\t\\t\\t\\tstarted: 1,\\n\\t\\t\\t\\tpaused: 0,\\n\\t\\t\\t\\tscrolling: 1,\\n\\t\\t\\t\\tlvln: 1,\\n\\t\\t\\t\\ta: [],\\n\\t\\t\\t\\tspawns: [],\\n\\t\\t\\t\\tpl: new Player(),\\n\\t\\t\\t\\tscore: 0,\\n\\t\\t\\t\\tsmult: 1,\\n\\t\\t\\t\\tspfr: 0,\\n\\t\\t\\t\\ttss: TSS,\\n\\t\\t\\t\\ti: null\\n\\t\\t\\t} );\\n\\t\\t\\tgame.createObjects();\\n\\t\\t\\tgame.camToLvl( game.lvln );\\n\\t\\t\\tgame.fade( true );\\n\\t\\t}, 100 );\\n\\t}\",\n \"run() {\\n logger.info('Starting game...');\\n this.running = true;\\n this.update();\\n }\",\n \"startGame() {\\r\\n // Hide start screen overlay\\r\\n document.getElementById('overlay').style.display = 'none';\\r\\n\\r\\n // get a random phrase and set activePhrase property\\r\\n this.activePhrase = this.getRandomPhrase();\\r\\n this.activePhrase.addPhrasetoDisplay();\\r\\n }\",\n \"function startGame(playerCount) {\\r\\n\\t\\r\\n\\tGC.initalizeGame(playerCount);\\r\\n\\t\\r\\n\\tUI.setConsoleHTML(\\\"The game is ready to begin! There will be a total of \\\" + GC.playerCount + \\\" players.<br />Click to begin!\\\");\\r\\n\\tUI.clearControls();\\r\\n\\tUI.addControl(\\\"begin\\\",\\\"button\\\",\\\"Begin\\\",\\\"takeTurn()\\\");\\r\\n\\t\\r\\n\\tGC.drawPlayersOnBoard();\\r\\n}\",\n \"function startNewGame() {\\n const newGame = new GameLoop();\\n newGame.startGame(true);\\n}\",\n \"function startGame() {\\n renderNewWord();\\n startBar();\\n }\",\n \"function main(mainFunction){\\n game.start=mainFunction;\\n}\",\n \"function startGame(index){\\n\\tgamePaused = false;\\n\\tmapStarted = true;\\n}\",\n \"function startGame(){\\n /*\\n Start the game.\\n */\\n bot_enabled = true;\\n console.log(\\\"STARTING\\\");\\n\\n // Wait until the conexion is stablished\\n start_game();\\n setTimeout(update,1000);\\n}\",\n \"function startPlayerGame(){\\r\\n\\t\\t\\t\\r\\n\\t\\tdocument.getElementById(\\\"gameoverTitle\\\").style.display = 'none';\\r\\n\\t\\tdocument.getElementById(\\\"startTitle\\\").style.opacity = 0;\\r\\n\\t\\t\\r\\n\\t\\tlevel = 1;\\r\\n\\t\\tlifes = maxLifes;\\r\\n\\t\\tscore = 0;\\r\\n\\t\\tregisterPlayerGameEvents();\\r\\n\\t\\tgame.setLevel(level);\\r\\n\\t\\t\\r\\n\\t\\t//fade to white -> reset the game -> let the camera look and follow the paddle ->\\r\\n\\t\\t//pause the game -> start camera from certain position -> show blocks falling ->\\r\\n\\t\\t//fade to normal -> move camera to play position\\r\\n\\t\\tfade(0,1,function(){\\r\\n\\t\\t\\tgame.reset(function(){\\r\\n\\t\\t\\t\\tgame.setCameraLookAtMesh(game.getPaddle().mesh);\\r\\n\\t\\t\\t\\tgame.cameraFollowsPaddle(true);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tgame.togglePause(function(){\\r\\n\\t\\t\\r\\n\\t\\t\\t\\t\\tgame.getCamera().setLens(25)\\r\\n\\t\\t\\t\\t\\tgame.getCamera().position.x = 0;\\r\\n\\t\\t\\t\\t\\tgame.getCamera().position.y = -7;\\r\\n\\t\\t\\t\\t\\tgame.getCamera().position.z = 2;\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\tanimateBricksFadeIn(function(){\\r\\n\\t\\t\\r\\n\\t\\t\\t\\t\\t\\thud.drawGameStatistics(score,level,lifes);\\r\\n\\t\\t\\t\\t\\t\\tgame.togglePause();\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t});\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\tfade(1,-1,function(){});\\r\\n\\t\\t\\t\\t\\tgame.getComposer().passes[2].copyUniforms.opacity.value = 0.7;\\r\\n\\t\\t\\t\\t\\tgame.tweenCamera(Tween.easeInOutQuad,{yTarget:-7,zTarget:6, xTarget:0});\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t});\\r\\n\\t\\t\\t});\\r\\n\\t\\t});\\r\\n\\t}\",\n \"function startGame(){\\n game = new Phaser.Game(790, 400, Phaser.AUTO, 'game', stateActions);\\n}\",\n \"function startGame() {\\n //START THE FIRST ROUND\\n console.log(\\\"Game will Begin\\\");\\n randomColor();\\n playPattern();\\n if (round === 0) {\\n update();\\n }\\n}\",\n \"function run () {\\n var $canvasBox;\\n \\n $('#newGameLink').removeAttr('disabled'); // can click new game link\\n\\n if (m.debug > m.NODEBUG) { console.log('screens.gameScreen.run'); }\\n \\n if (needsInit) {\\n \\n // disable mouse events on canvas and halt the game loop when we return to the menu\\n $('#gameMenuLink')\\n .click( function (event) {\\n m.playtouch.unhookMouseEvents();\\n m.Model.stopGameNow();\\n m.Audio.beQuiet();\\n m.screens.showScreen('menuScreen');\\n });\\n \\n // shuffle and deal if we ask nicely\\n $('#newGameLink')\\n .click( function (event) {\\n // disallow double-clicks, also disabled in the model while dealing\\n if ( $(this).attr('disabled') === 'disabled' ) { return false; } \\n $(this).attr('disabled', 'disabled'); \\n // if you start a new game before winning, give 'em the not impressed face\\n if (m.Settings.getPlaySounds() && !hasWon) {\\n m.Sounds.playSoundFor(m.Sounds.QUIT);\\n }\\n \\n // now we play\\n setTimeout( function() {\\n m.Model.stopGameNow();\\n m.screens.showScreen('gameScreen');\\n }, m.Settings.Delays.Quit);\\n return false;\\n });\\n \\n }\\n needsInit = false;\\n \\n // start the game animation loop\\n m.gameloop.setLoopFunction(m.view.refreshDisplay);\\n \\n // start a new game\\n m.view.newGame($('#gameViewBox'));\\n \\n // hook up event handling\\n m.playtouch.hookMouseEvents(); \\n\\n // resize the game pane if needed after a short delay\\n $(window)\\n .resize(function (event) {\\n setTimeout( function () {\\n mikeycell.view.setMetrics();\\n }, 500);\\n });\\n\\n }\",\n \"function startGame() {\\n timerStat = true;\\n showGamePanel();\\n runTimer();\\n displayImage();\\n}\",\n \"function startGame()\\n{\\n\\tcreateDeck();\\n\\tshuffleDeck();\\n\\tcreatePlayers(2);\\n\\n\\tdrawCard(0, 0);\\n\\tdrawCard(1, 0);\\n\\tdrawCard(0, 0);\\n\\tdrawCard(1, 0);\\n\\n\\n\\n\\tdisplayCards();\\n\\tdisplayOptions();\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8947497","0.853883","0.85360265","0.846057","0.83268464","0.8302629","0.82855785","0.8213439","0.81400234","0.80515915","0.8041017","0.80409956","0.8034612","0.8003582","0.7985927","0.79599327","0.79583174","0.7946285","0.78813124","0.78753716","0.7865101","0.7863184","0.78406906","0.78379506","0.78375834","0.7833191","0.7827397","0.7812027","0.780804","0.77836835","0.7783539","0.7776656","0.7743123","0.77280617","0.7717667","0.77071303","0.77055293","0.77047616","0.76977295","0.76952475","0.7670765","0.76611924","0.7637856","0.76324445","0.7628862","0.76282185","0.7625552","0.7617091","0.76159006","0.76061076","0.7602572","0.7600971","0.7599663","0.75829864","0.7578652","0.7567142","0.7566309","0.7556113","0.75505626","0.7540673","0.7535768","0.75334203","0.75309396","0.7526981","0.75162256","0.7511098","0.75077945","0.75077426","0.74879456","0.74852604","0.7484812","0.7478747","0.7477351","0.747032","0.7468082","0.74676466","0.7462838","0.74583346","0.7448829","0.7443382","0.7437859","0.7433282","0.74329233","0.74311626","0.74300396","0.74233454","0.741981","0.74196506","0.74190164","0.7413455","0.7393541","0.7392748","0.7392226","0.73893434","0.7383406","0.73792535","0.7379219","0.7368142","0.73661053","0.73584","0.73477155"],"string":"[\n \"0.8947497\",\n \"0.853883\",\n \"0.85360265\",\n \"0.846057\",\n \"0.83268464\",\n \"0.8302629\",\n \"0.82855785\",\n \"0.8213439\",\n \"0.81400234\",\n \"0.80515915\",\n \"0.8041017\",\n \"0.80409956\",\n \"0.8034612\",\n \"0.8003582\",\n \"0.7985927\",\n \"0.79599327\",\n \"0.79583174\",\n \"0.7946285\",\n \"0.78813124\",\n \"0.78753716\",\n \"0.7865101\",\n \"0.7863184\",\n \"0.78406906\",\n \"0.78379506\",\n \"0.78375834\",\n \"0.7833191\",\n \"0.7827397\",\n \"0.7812027\",\n \"0.780804\",\n \"0.77836835\",\n \"0.7783539\",\n \"0.7776656\",\n \"0.7743123\",\n \"0.77280617\",\n \"0.7717667\",\n \"0.77071303\",\n \"0.77055293\",\n \"0.77047616\",\n \"0.76977295\",\n \"0.76952475\",\n \"0.7670765\",\n \"0.76611924\",\n \"0.7637856\",\n \"0.76324445\",\n \"0.7628862\",\n \"0.76282185\",\n \"0.7625552\",\n \"0.7617091\",\n \"0.76159006\",\n \"0.76061076\",\n \"0.7602572\",\n \"0.7600971\",\n \"0.7599663\",\n \"0.75829864\",\n \"0.7578652\",\n \"0.7567142\",\n \"0.7566309\",\n \"0.7556113\",\n \"0.75505626\",\n \"0.7540673\",\n \"0.7535768\",\n \"0.75334203\",\n \"0.75309396\",\n \"0.7526981\",\n \"0.75162256\",\n \"0.7511098\",\n \"0.75077945\",\n \"0.75077426\",\n \"0.74879456\",\n \"0.74852604\",\n \"0.7484812\",\n \"0.7478747\",\n \"0.7477351\",\n \"0.747032\",\n \"0.7468082\",\n \"0.74676466\",\n \"0.7462838\",\n \"0.74583346\",\n \"0.7448829\",\n \"0.7443382\",\n \"0.7437859\",\n \"0.7433282\",\n \"0.74329233\",\n \"0.74311626\",\n \"0.74300396\",\n \"0.74233454\",\n \"0.741981\",\n \"0.74196506\",\n \"0.74190164\",\n \"0.7413455\",\n \"0.7393541\",\n \"0.7392748\",\n \"0.7392226\",\n \"0.73893434\",\n \"0.7383406\",\n \"0.73792535\",\n \"0.7379219\",\n \"0.7368142\",\n \"0.73661053\",\n \"0.73584\",\n \"0.73477155\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":189,"cells":{"query":{"kind":"string","value":"function that clears messages and displays a picture onscreen"},"document":{"kind":"string","value":"function endGame() {\n questions1El.textContent = \"Game Over\";\n button1El.textContent = \"\";\n button2El.textContent = \"\";\n button3El.textContent = \"\";\n button4El.textContent = \"\";\n startEl.textContent = \"\";\n\n //append img to questions window\n var imgEl = document.createElement(\"img\");\n imgEl.setAttribute(\"src\", \"assets/congrats.png\");\n questions1El.appendChild(imgEl);\n\n \n //create item to append to high scores\n var highScoresEl = document.getElementById(\"highScores\");\n var item = document.createElement(\"p\");\n item.textContent = prompt(\"Enter Initals\")+\" : \"+ score;//put score in item \n \n //highScoresEl.setAttribute(\"visibility\",\"visible\");\n highScoresEl.append(item);\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function clearChat() {\n $(\"gameOutputField\").innerHTML = \"\";\n displayMessage(\"<a href='images/how-about-no-bear.jpg' target='_blank'>see chat history</a>\");\n $(\"gameInputField\").focus();\n }","function clearMessages() {\n hint.textContent = \"\";\n hold.textContent = \"\";\n wrongGuess.textContent = \"\";\n usedLetters.textContent = \"\";\n usedLettersLabel.textContent = \"\";\n changeImageNull(\"\");\n \n }","function clearPicture() {\n let context = canvas.getContext('2d');\n context.fillStyle = \"#FFF\";\n context.fillRect(0, 0, canvas.width, canvas.height);\n\n this.video.style.display = 'block';\n this.canvas.style.display = 'none';\n this.photo.style.display = 'none';\n }","function displayMessage () {\n msgBtn.innerHTML = 'Gimme more blues!'\n const quoteDisplay = document.getElementById('song');\n const bgImage = document.getElementById('contentHolder');\n bgImage.style.backgroundImage=\"url('./images/white_rect.jpg')\";\n quoteDisplay.style.display = \"block\";\n quoteDisplay.style.marginTop = \"600px\";\n quoteDisplay.innerHTML = createSong();\n document.getElementById('instructions').style.display = 'none';\n}","function consoleDisplay(img) {\n elements.gameMessageContainer.innerHTML = \"\";\n let html = `\n <img class=\"console-messages\" src=\"img/${img}.png\">\n `\n\n elements.gameMessageContainer.innerHTML = html;\n}","function showChat(pathFotoProfilo, nomeUtente){\r\n\r\n\t//Div che contiene la chat (inizialmente non visibile)\r\n\tdocument.getElementById(\"divChatBackground\").style.display = \"block\";\r\n\r\n\t//Settaggio dell'immagine profilo\r\n\tif(pathFotoProfilo != \"default\"){ //Se l'immagine è quella di default, l'url è già nel CSS\r\n\t\tvar pathBase = \"../upload/\";\r\n\t\tvar pathFinale = pathBase + pathFotoProfilo;\r\n\t\tdocument.getElementById(\"divImgProfiloChat\").style.backgroundImage = \"url('\" + pathFinale + \"')\";\r\n\t}\r\n\r\n\t//Settaggio del nome dell'utente con cui stiamo parlando\r\n\tvar titoloNomeUtente = document.getElementById(\"chatNomeUtente\")\r\n\tif(titoloNomeUtente == null){\r\n\t\ttitoloNomeUtente = document.createElement(\"h5\");\r\n\t\ttitoloNomeUtente.id = \"chatNomeUtente\";\r\n\t\tdocument.getElementById(\"divChatUp\").appendChild(titoloNomeUtente);\r\n\t}\r\n\ttitoloNomeUtente.textContent = nomeUtente;\r\n\t\r\n\r\n\t//Richiamiamo periodicamente la funzione che controlla i nuovi messaggi in arrivo\r\n\tintervalloChat = setInterval(checkNewMessage, 1000);\r\n}","function welcomeDisplay1() {\n push();\n background(boxOffice1.image);\n imageMode(CENTER);\n image(sonicSign.image, sonicSign.x, sonicSign.y, 600, 180);\n pop();\n}","function msgCreator(message, correctAnswerText, correctAnswerImage) {\n var messageToDisplay = \"<h1>\" + message + \"</h1>\";\n messageToDisplay = messageToDisplay + \"<h4>\" + correctAnswerText + \"</h4>\" + '<img src=\"' + correctAnswerImage + '\">';\n $(\".messageDiv\").html(messageToDisplay);\n $(\".messageDiv\").show();\n setTimeout(function () {\n $(\".messageDiv\").hide();\n }, 3000);\n }","function displayMessage(id, timestamp, name, text, picUrl, imageUrl) {\n var div = document.getElementById(id) || createAndInsertMessage(id, timestamp);\n\n // profile picture\n if (picUrl) {\n div.querySelector('.pic').style.backgroundImage = 'url(' + addSizeToGoogleProfilePic(picUrl) + ')';\n }\n\n div.querySelector('.name').textContent = name;\n var messageElement = div.querySelector('.message');\n\n if (messageListElement != null) {\n if (text) { // If the message is text.\n messageElement.textContent = text;\n // Replace all line breaks by <br>.\n messageElement.innerHTML = messageElement.innerHTML.replace(/\\n/g, '<br>');\n } else if (imageUrl) { // If the message is an image.\n var image = document.createElement('img');\n image.addEventListener('load', function () {\n messageListElement.scrollTop = messageListElement.scrollHeight;\n });\n image.src = imageUrl + '&' + new Date().getTime();\n messageElement.innerHTML = '';\n messageElement.appendChild(image);\n }\n // Show the card fading-in and scroll to view the new message.\n setTimeout(function () { div.classList.add('visible') }, 1);\n messageListElement.scrollTop = messageListElement.scrollHeight;\n messageInputElement.focus();\n }\n}","function clearMsg() {\n document.getElementById('gameMsg').innerHTML = \"\";\n}","function displayMessage(id, timestamp, name, text, picUrl, imageUrl) {\n var div = document.getElementById(id) || createAndInsertMessage(id, timestamp);\n\n // profile picture\n if (picUrl) {\n div.querySelector('.pic').style.backgroundImage = 'url(' + addSizeToGoogleProfilePic(picUrl) + ')';\n }\n\n div.querySelector('.name').textContent = name;\n var messageElement = div.querySelector('.message');\n\n if (text) { // If the message is text.\n messageElement.textContent = text;\n // Replace all line breaks by <br>.\n messageElement.innerHTML = messageElement.innerHTML.replace(/\\n/g, '<br>');\n } else if (imageUrl) { // If the message is an image.\n var image = document.createElement('img');\n image.addEventListener('load', function() {\n messageListElement.scrollTop = messageListElement.scrollHeight;\n });\n image.src = imageUrl + '&' + new Date().getTime();\n messageElement.innerHTML = '';\n messageElement.appendChild(image);\n }\n // Show the card fading-in and scroll to view the new message.\n setTimeout(function() {div.classList.add('visible')}, 1);\n messageListElement.scrollTop = messageListElement.scrollHeight;\n messageInputElement.focus();\n}","function hideGameMsg() {\n clearMsg();\n document.getElementById('gameMsgBox').style.display = 'none';\n}","function displayMessage(id, timestamp, name, text, picUrl, imageUrl) {\n var div = document.getElementById(id) || createAndInsertMessage(id, timestamp);\n\n // profile picture\n if (picUrl) {\n div.querySelector('.pic').style.backgroundImage = 'url(' + addSizeToGoogleProfilePic(picUrl) + ')';\n }\n\n div.querySelector('.name').textContent = name;\n var messageElement = div.querySelector('.message');\n\n if (text) { // If the message is text.\n messageElement.textContent = text;\n // Replace all line breaks by <br>.\n messageElement.innerHTML = messageElement.innerHTML.replace(/\\n/g, '<br>');\n } else if (imageUrl) { // If the message is an image.\n var image = document.createElement('img');\n image.addEventListener('load', function () {\n messageListElement.scrollTop = messageListElement.scrollHeight;\n });\n image.src = imageUrl + '&' + new Date().getTime();\n messageElement.innerHTML = '';\n messageElement.appendChild(image);\n }\n // Show the card fading-in and scroll to view the new message.\n setTimeout(function () { div.classList.add('visible') }, 1);\n messageListElement.scrollTop = messageListElement.scrollHeight;\n messageInputElement.focus();\n }","function useSticker(e) {\n const message = `<img src=\"${e.src}\" class=\"graphics-container-item\" />`;\n socket.emit(\"chat-message\", message);\n graphics.classList.add(\"no-display\");\n graphics.innerHTML = \"\";\n}","function view_messages(msg) {\n jQuery(\"#messages_plugin\").empty();\n jQuery(\"#messages_plugin\").html(msg);\n jQuery(\"#messages_plugin\").fadeIn(200);\n jQuery(\"#messages_plugin\").fadeOut(5000);\n }","function timerGo_pic() {\n IDx('response_img_id').style.display = 'none'; //makes img disappear abruptly\n }","function changepicture() {\n i = 0;\n sendinformation();\n \n}","function resetDisplay() {\n\t\tctx.clearRect(0,0,610,550);\n\t\tctx.strokeRect(40, 10, 530, 539);\n\t\t$(\"#controls button\").button(\"disable\");\n\t\t$(\"#seeker\").slider(\"disable\");\n\t\t$(\"#display-options input\").attr(\"disabled\",\"disabled\");\n\t\t$(\".game-status .p1, .game-status .p2, .game-status .message\").empty();\n\t\t$(\".game-status .message\").removeClass(\"neutral-text p1-text p2-text\").css(\"visibility\",\"hidden\");\n\t\t$(\".display .p1-text, .display .p2-text\").html(1000);\n\t\t$(\".names-time .time\").html(0);\n\t\t$(\"#canvas-alt\").remove();\n\t}","function display(picture, sizeX, sizeY){\n imageMode(CENTER);\n image(picture,stealer.pos.x, stealer.pos.y, sizeX, sizeY);\n}","function showResetScreen(message) {\n resetScreen.classList.add('show_piece');\n resetScreen.querySelector('h3').textContent = message;\n}","function onClearAll() {\n gMeme.txts = [];\n showImg();\n}","function displayLoss(){\n\tpageOptions.reference.innerHTML = \t\"<img src='img/layer.png' style='display:block;width:100%;height:100%'>\"+\n\t\"<img src='img/tryagain.png' id='tryAgain'>\" +\n\t\"<img src='' onclick='playBackground()' id='ayy'>\" +\n \"<img src='img/button_menu.png' onclick='pageOptions.setPage()' id='menu'>\" +\n \"<img src='img/button_check.png' onclick='pageOptions.setPage1t()' id='yes'>\" +\n\t\"<img src='img/button_xmark.png' onclick='enterName()' id='no'>\";\n\tsetAudioImg();\n clock.lost = false;\n resetTimer();\n}","function clear() {\n input.style.display = 'none';\n button.style.display = 'none';\n button2.style.display = 'block';\n ask.innerHTML = input.value;\n start.src =ballImageArray[Math.floor(Math.random() *ballImageArray.length)];\n}","function showDisplayPicture() {\n\t\tif (settings.displayPicture != \"\") {\n\t\t\t$(\"#statusBoxDisplayPictureFrame\")\n\t\t\t\t.html(\"<div></div>\");\n\t\t\t$(\"#statusBoxDisplayPictureFrame div\")\n\t\t\t\t.css({backgroundImage: \"url(\" + settings.displayPicture + \")\"});\n\t\t}\n\t}","function newGame() {\n resetGame()\n winTotal = 0\n removePicture()\n document.getElementById(\"poster\").style.display = \"inline\";\n}","function displayMessage(id, timestamp, name, text, picUrl, imageUrl, lat, lng) {\n var div = document.getElementById(id) || createAndInsertMessage(id, timestamp);\n\n // profile picture\n if (picUrl) {\n div.querySelector('.pic').style.backgroundImage = 'url(' + addSizeToGoogleProfilePic(picUrl) + ')';\n }\n\n if (!timestamp) return;\n\n var dist_away = Math.round(latlng_dist(pos_lat,pos_lng, lat,lng));\n div.querySelector('.name').textContent = name + \" (\"+formatAMPM(timestamp.toDate()) + \" ~\" + dist_away + \"mi away)\";\n var messageElement = div.querySelector('.message');\n\n if (text) { // If the message is text.\n messageElement.textContent = text;\n // Replace all line breaks by <br>.\n messageElement.innerHTML = messageElement.innerHTML.replace(/\\n/g, '<br>');\n } else if (imageUrl) { // If the message is an image.\n var image = document.createElement('img');\n image.addEventListener('load', function() {\n messageListElement.scrollTop = messageListElement.scrollHeight;\n });\n image.src = imageUrl + '&' + new Date().getTime();\n messageElement.innerHTML = '';\n messageElement.appendChild(image);\n }\n // Show the card fading-in and scroll to view the new message.\n setTimeout(function() {div.classList.add('visible')}, 1);\n messageListElement.scrollTop = messageListElement.scrollHeight;\n messageInputElement.focus();\n}","function output (){\n document.getElementById(\"finalMessage\").innerHTML = finalMessage(name, printSign, message);\n document.getElementById(\"image\").innerHTML = \"<img src= img/\"+ getImage(signNum)+ \"/>\";\n document.getElementById(\"birthdayMessage\").innerHTML = getBirthday(month,day);\n\n}","function dispResults() {\n $('.qanda-disp').empty();\n $('.timer').hide();\n $('.response-feedback').text('Congratulations! Your score was: ' + score);\n //display end-of-game img \n}","function showMessage(message)\n{\n $(\"messagesDiv\").innerHTML = message; \n $(\"messagesDiv\").style[\"visibility\"] = \"visible\";\n if (messageTimer) clearTimeout(messageTimer);\n messageTimer = setTimeout(clearMessages, prefs.getPref(\"MESSAGES_TIMEOUT\"));\n}","function ClearMessagePane() {}","function clearScreen() {\n displayScreen.innerHTML = \"\";\n}","function textOnScreen() {\n createP('Refresh The Page To Reset');\n createP('Press W to Remove Obstacles');\n createP('Press Q To Increase Number of Obstacles');\n }","function answerWrong() {\n displayImage();\n}","displayBoard(message) {\n $('.menu').css('display', 'none');\n $('.gameBoard').css('display', 'block');\n $('#userHello').html(message);\n this.createGameBoard();\n }","function out() {\n\tif (this.id == 0)\n\tthis.src = \"box.png\";\n}","function clearScreen() {\n $('#details').text('You closed tab, Need to clear you from online users. If you didnt mean to leave, click HOME link and rejoin.');\n $('.sqr-con').css('display','none');\n}","function displayRandomMessage() {\n showHide(loader, logo);\n hide(chosenMessage);\n // hide(favoriteButton);\n var timer;\n timer = setTimeout(showMessage, 1500);\n}","function congratulationsScreen () {\n console.log('congratulationsScreen');\n \n $('#question').text(\"You Are Correct!\")\n $('#timer').empty();\n $(\"#answer1\").empty();\n $(\"#answer2\").empty();\n $(\"#answer3\").empty();\n $(\"#answer4\").empty();\n $(\"#gif\").show();\n startResponseScreen();\n winner = true;\n}","noSignature(){\n\t\tthis.context.font = \"25px Arial\";\n\t\tthis.context.fillStyle = \"red\";\n\t\tthis.context.fillText(\"Informations incomplètes.\", 7, 80);\n\t\tsetTimeout(function(){ // retrait du message après deux secondes\n\t\t\tthis.context.clearRect(0, 0, this.canvas.width, this.canvas.height);\n\t\t}.bind(this), 2000);\n\t}","function feedNewPic () {\n closeRelay(A5, feedNewPicButtonTreshold, true);\n setTimeout(function() {\n takePicture();\n }, feedNewPicTreshold);\n}","function displayImage(srcData,usernameData) {\r\n const div = document.createElement('div');\r\n\r\n const p = document.createElement('p');\r\n p.classList.add('meta');\r\n p.innerText = \"\";\r\n p.innerHTML += `<span>${usernameData}</span>`;\r\n p.style.color = 'green';\r\n p.style.fontFamily = 'Lucida Handwriting';\r\n div.appendChild(p);\r\n document.querySelector('.chat-messages').append(div);\r\n\r\n const div2 = document.createElement('div');\r\n var newImage = document.createElement('img');\r\n newImage.src = srcData;\r\n div2.append(newImage);\r\n\r\n //div.append(newImage);\r\n document.querySelector('.chat-messages').append(div2);\r\n \r\n}","function eraseMessages() {\n\tanswer.innerHTML = '';\n\teraseButton.style.display = 'none';\n}","function clearUserMessages() {\r\n document.getElementById(\"message1\").innerHTML = \"\"\r\n}","function clearimage() {\n document.getElementById('image').innerText = \"\";\n\n }","function displayGIF(status,correctAnswer) {\n \n if(status === \"win\") {\n $(\".triviaText\").html(`\n <p>Congrats you chose correctly!</p>\n <p>The correct answer was ${correctAnswer}</p>\n <img src=\"${randomImage()}\"/>\n `)\n }\n else if (status === \"lose\") {\n $(\".triviaText\").html(`\n <p>The answer you chose was incorrect!</p>\n <p>The correct answer was ${correctAnswer}</p>\n <img src=\"${randomImage()}\"/>\n `)\n }\n}","function drawMessage() {\n ctx.fillStyle = questionBarColor;\n ctx.fillRect(canvas.width / 2 - 250, canvas.height - 325, 500, 150);\n ctx.fillStyle = \"white\";\n ctx.font = \" 32px cymraeg\";\n ctx.fillText(\"Dewiswch avatar,\", canvas.width / 2 - 5, canvas.height - 310);\n ctx.fillText(\"yna, rhowch eich enw\", canvas.width / 2 - 5, canvas.height - 270);\n ctx.fillText(\"a cliciwch parhau\", canvas.width / 2 - 5, canvas.height - 230);\n}","function rpsFrontEnd(humanImageChoice, botImageChoice, finalMessage) {\n var imagesDatabase = {\n rock: document.getElementById(\"rock\").src,\n paper: document.getElementById(\"paper\").src,\n scissor: document.getElementById(\"scissor\").src,\n };\n document.getElementById(\"rock\").remove();\n document.getElementById(\"paper\").remove();\n document.getElementById(\"scissor\").remove();\n\n var humanDiv = document.createElement(\"div\");\n var messageDiv = document.createElement(\"div\");\n var botDiv = document.createElement(\"div\");\n\n humanDiv.innerHTML =\n \"<img src='\" +\n imagesDatabase[humanImageChoice] +\n \"' height=150,width=150 style= 'box-shadow:0px 10px 50px rgba(37,50,233,1)'>\";\n messageDiv.innerHTML =\n \"<h1 style='color:\" +\n finalMessage[\"color\"] +\n \"; font-size:60px; padding :30px '>\" +\n finalMessage[\"message\"] +\n \"</h1>\";\n botDiv.innerHTML =\n \"<img src='\" +\n imagesDatabase[botImageChoice] +\n \"' height=150,width=150 style= 'box-shadow:0px 10px 50px rgba(243,38,24,1)'>\";\n\n document.getElementById(\"flex-box-rps\").appendChild(humanDiv);\n document.getElementById(\"flex-box-rps\").appendChild(messageDiv);\n document.getElementById(\"flex-box-rps\").appendChild(botDiv);\n}","function displayMessage(message) {\n closePopups();\n $(\"#message-box\").text(message);\n $(\".backdrop\").css(\"display\", \"inline\");\n $(\"#info-box\").css(\"display\", \"inline\");\n }","function scoreboard(){\n $('#timeLeft').empty();\n $('#message').empty();\n $('#correctedAnswer').empty();\n $('#gif').hide();\n $(\"#gifCaption\").hide();\n \n $('#finalMessage').html(messages.finished);\n $('#correctAnswers').html(\"Correct Answers: \" + correctAnswer);\n $('#incorrectAnswers').html(\"Incorrect Answers: \" + incorrectAnswer);\n $('#unanswered').html(\"Unanswered: \" + unanswered);\n $('#startOverBtn').addClass('reset');\n $('#startOverBtn').show();\n $('#startOverBtn').html(\"PLAY AGAIN\");\n }","function VictoryScreen(TopBorderX,TopBorderY){\n background(0);\n fill(58,134,183);\n textSize(75);\n text('CONGRATULATIONS',250,SmaeY);\n textSize(24);\n text('Thank You for Playing!',500,SmaeY+100);\n text('Press 0 to Begin Again',500,SmaeY+150);\n noLoop();\n}","function update_message(m, clear)\n{\n if (clear) {\n $('#message').empty();\n }\n $('#message').append($('<div/>',{text:m}));\n}","function showMeme(good) {\n\n // Show celebration meme or fail meme? Choose a suitable GIF.\n var choice=(good ? successMemes : failMemes);\n var whatWeWant=parseInt(Math.floor((choice.length-.1)*Math.random()))\n var gif = choice[whatWeWant];\n\n // Render it:\n meme.innerHTML='';\n img = document.createElement('img');\n img.className='meme';\n img.style.width='80%';\n img.src=gif;\n meme.appendChild(img);\n meme.style.display='inline';\n }","drawOffscreen() { }","function displayImage(){\n\n}","function popupFinalResults(text) {\n if (winner) {\n memorygameResultImg.src = \"img/got-winner.png\";\n } else {\n memorygameResultImg.src = \"img/got-looser.png\";\n }\n finalMessage.innerText = text;\n popup.style.display = 'flex';\n popupResult.classList.remove(\"hidden\");\n}","function deletePicture() {\n symbols = [];\n drawBG();\n }","function ClearOldMessage(){\n document.getElementById(\"message\").innerHTML = \"\";\n}","function show_liveview_img(msg_dec){\n\t// hide loading dialog, if there is one\n\tvar txt=$(\"#\"+msg_dec[\"mid\"]+\"_liveview_txt\");\n\tif(txt.length){\n\t\ttxt.hide();\n\t};\n\n\t// show debug speed\n\tif(msg_dec[\"up_down_debug\"]!=\"\"){\n\t\ttxt=$(\"#\"+msg_dec[\"mid\"]+\"_liveview_up_down_debug\");\n\t\tif(txt.length){\n\t\t\ttxt.show();\n\t\t}\n\t\ttxt.text(msg_dec[\"up_down_debug\"]);\n\t};\n\n\t// display picture\n\tvar img=$(\"#\"+msg_dec[\"mid\"]+\"_liveview_pic\");\n\tif(img.length){\n\t\t//console.log(\"mid_img: #\"+msg_dec[\"mid\"]+\"_liveview_pic gefunden!!\");\n\n\t\tif(msg_dec[\"img\"]!=\"\"){\n\t\t\t// if we receive the first image, scroll to it\n\t\t\tif(img.attr(\"src\")==host+\"images/support-loading.gif\"){\n\t\t\t$('html,body').animate({\n\t\t\t\t\tscrollTop: img.offset().top-($(window).height()/20)\n\t\t\t\t},1000);\n\t\t\t};\n\n\t\t\t// display image\n\t\t\tresize_alert_pic(msg_dec[\"mid\"],msg_dec[\"img\"]);\n\t\t};\n\t} else {\n\t\tconsole.log(\"konnte mid_img: #\"+msg_dec[\"mid\"]+\"_liveview_pic nicht finden!!\");\n\t};\n\n\t// handle countdown\n\tif(msg_dec[\"webcam_countdown\"]<90){\n\t\tvar cmd_data = { \"cmd\":\"reset_webcam_countdown\"};\n\t\tconsole.log(JSON.stringify(cmd_data));\n\t\tcon.send(JSON.stringify(cmd_data)); \t\t\n\t}\n}","display() {\n // draw our player at their current position with the correct graphic\n image(this.myGraphic, this.xPos, this.yPos);\n }","function changeUI() {\n //Show detected mood\n pageheader.innerHTML = \"You look like \" + age + \" years old. You feel like: \"; //Remember currentMood is a Mood object, which has a name and emoji linked to it. \n //Show mood emoji\n var img = $(\"#selected-img\")[0]; //getting a predefined area on our webpage to show the emoji\n img.src = recommendation.picture; //link that area to the emoji of our currentMood.\n img.style.display = \"block\"; //just some formating of the emoji's location\n //Display song refresh button\n refreshbtn.style.display = \"inline\";\n //Remove offset at the top\n pagecontainer.style.marginTop = \"20px\";\n}","function drawMessageBox(msgService, title, face, lines, boxPosition, boxAutoSize, pictures) {\n\t// DROP PICTURES ONTO THE SCREEN\n\twhile (pictures.hasNext()) {\n\t\tmsgService.addActor(pictures.next().getImage());\n\t}\n\n\t// CREATE LAYOUT TABLE\n\ti18nContainer = \"messageText\";\n\tvar skin = msgService.skinNormal;\n\tvar t = new ui.Table().top();\n\tt.setBackground(msgService.createDrawable(\"data/image/customDesign/WindowBackground.png\"));\n\tt.setWidth($.screen.width);\n\tt.setHeight(200);\n\tt.setY($.screen.height-200);\n\n\t// TITLE\n\tt.row().fillX().expandX().pad(5);\n\tvar l = new ui.Label(i18nText(title), skin);\n\tl.setColor(0.7, 0.7, 0.7, 1);\n\tt.add(l).colspan(2);\n\n\t// FACE\n\tt.row().pad(5);\n\tif (face != null) {\n\t\tt.add(new ui.Image(face));\n\t} else {\n\t\tt.add(); // empty cell because of colspan=2\n\t}\n\n\t// CREATE MESSAGE-LINE TABLE\n\tvar t2 = new ui.Table().top();\n\tfor (var i = 0, n = lines.size; i < n; i++) {\n\t\tt2.row().fillX().expandX();\n\t\tvar msgLine = lines.get(i);\n\t\t// CONVERT TEXT LANGUAGE I18N\n\t\tmsgLine.text = i18nText(msgLine.text);\n\t\tt2.add(msgLine.getActor());\n\t}\n\n\t// CREATE SCROLLPANE\n\tvar s = new ui.ScrollPane(t2, skin);\n\ts.setFadeScrollBars(false);\n\tt.add(s).fill().expand();\n\n\t// MAKE WINDOW VISIBLE AND FOCUS FIRST INPUT-FIELD ON DESKTOP\n\tmsgService.addActor(t);\n\tif (desktopMode) msgService.focus(t2);\n}","function clearScreen()\n {\n // TODO: find a way to do this cleaner and not on every draw call so I can \n // create animations that work correctly\n $(\"#pickJedi0\").empty();\n $(\"#pickJedi1\").empty();\n $(\"#pickJedi2\").empty();\n $(\"#pickJedi3\").empty();\n $(\"#playerJedi\").empty();\n $(\"#enemyJedi\").empty();\n $(\"#pickEnemyJedi0\").empty();\n $(\"#pickEnemyJedi1\").empty();\n $(\"#pickEnemyJedi2\").empty();\n $(\"#textField\").empty();\n $(\"#textField2\").empty();\n $(\"#fight\").hide();\n $(\"#replay\").hide();\n }","function showMessage (parameters) {\n var message = parameters.message, position = parameters.position;\n if (!position) position = \"top-right\";\n\n uiOnboarding.messageHolder.toggleClass(\"yellow-background\");\n setTimeout(function () { uiOnboarding.messageHolder.toggleClass(\"yellow-background\"); }, 100);\n\n uiOnboarding.messageHolder.css({\n top: 0,\n left: 0,\n width: 300\n });\n\n\n if (!uiOnboarding.messageHolder.is(\":visible\")) uiOnboarding.messageHolder.show();\n\n\n uiOnboarding.background.css(\"visibility\", \"hidden\");\n if (parameters) {\n if (\"width\" in parameters) {\n uiOnboarding.messageHolder.css(\"width\", parameters.width);\n }\n\n if (\"left\" in parameters) {\n uiOnboarding.messageHolder.css(\"left\", parameters.left);\n }\n\n if (\"top\" in parameters) {\n uiOnboarding.messageHolder.css(\"top\", parameters.top);\n }\n\n if (\"background\" in parameters && parameters.background) {\n uiOnboarding.background.css(\"visibility\", \"visible\");\n }\n }\n\n uiOnboarding.messageHolder.html((typeof message == \"function\" ? message() : message));\n }","function cerrar(){\n document.getElementById(\"up\").style.display = \"block\";\n document.getElementById(\"chat\").style.display = \"none\";\n}","function image_display() {\r\n\r\n}","function removePicture () {\n document.getElementById(\"swayze\").style.display = \"none\";\n document.getElementById(\"keanu\").style.display = \"none\";\n document.getElementById(\"skydive\").style.display = \"none\";\n document.getElementById(\"reagan\").style.display = \"none\";\n document.getElementById(\"kiedis\").style.display = \"none\";\n document.getElementById(\"poster\").style.display = \"none\";\n}","function clearmessage(){\n\t$(\"#message\").html(\"<p></p>\");\n}","function image() {\r\n // Set variable as the div in order to check if the div is there\r\n var location = document.getElementById('imgSection');\r\n // If an image IS there\r\n if (document.getElementById('charImage')) {\r\n // Remove the current character image from the div\r\n location.removeChild(characterImage);\r\n }\r\n // Get a random character image\r\n randomHira = imgRandom(hiraArray);\r\n // Set new img element's src as the \"character\" image src\r\n characterImage.src = randomHira.src;\r\n // Append img to page\r\n location.appendChild(characterImage);\r\n // Clear the text entry box of the User's previous answer\r\n document.forms['form1'].reset();\r\n}","function displayImage(user , srcData ) {\r\n var newImage = document.createElement('img');\r\n newImage.src = srcData;\r\n \r\n // document.getElementById(\"historyMsg\").innerHTML = user + newImage.outerHTML;\r\n \r\n messageArea.append(newImage);\r\n appendMessage(`${user} send image...`);\r\n autoScrollDown();\r\n // alert(\"Converted Base64 version is \" + document.getElementById(\"historyMsg\").innerHTML);\r\n\r\n}","function drawText(message,clear) {\n\tvar canvas = document.getElementById(\"game\");\n\tvar ctx = canvas.getContext('2d');\n\n\t//clear\n\tif (clear)\n\t\tctx.clearRect(0,0,canvas.width,canvas.height);\n\n\t//Draw needed game message\n\tctx.font = \"30px serif\";\n\tctx.fillStyle = \"white\";\n\tctx.fillText(message, canvas.width/2.5, canvas.height/3);\n\n}","function hideOrShowMessage(){\n let displayOrHideMessage = localStorage.getItem('messageDisplay');\n let buttonOpenSource, buttonCloseSource;\n\n if(document.body.dataset.pagename == \"home\"){\n buttonOpenSource = \"./content/images/icons/open-news-64.png\";\n buttonCloseSource = \"./content/images/icons/close-news-64.png\";\n }\n else{\n buttonOpenSource = \"../images/icons/open-news-64.png\";\n buttonCloseSource = \"../images/icons/close-news-64.png\";\n }\n\n if( displayOrHideMessage !== null){\n if(displayOrHideMessage == \"true\"){\n closeBtn.src = buttonCloseSource;\n removeArea.style.display = \"block\";\n messageArea.style.border = \"none\"; \n }\n else{\n closeBtn.src = buttonOpenSource;\n removeArea.style.display = \"none\";\n messageArea.style.border = \"1px solid white\";\n }\n\n }\n else{\n console.log(\"empty messageDisplay\")\n localStorage.setItem('messageDisplay', \"true\");\n closeBtn.src = buttonCloseSource;\n removeArea.style.display = \"block\";\n messageArea.style.border = \"none\";\n }\n // console.log(closeBtn.src);\n }","function abrir(){\n document.getElementById(\"up\").style.display = \"none\";\n document.getElementById(\"chat\").style.display = \"block\"; \n getMessages();\n}","sendGif(e) {\n const imageData = {\n body: e.target.src,\n username: this.props.profile.given_name,\n timestamp: moment((new Date).getTime())\n .format(\"MMMM Do YYYY, h:mm:ss a\"),\n image: this.props.profile.picture\n }\n this.props.receiveMessage(imageData);\n this.props.saveToDatabase(imageData)\n }","display() {\n if (this.isAvailable) {\n push();\n noStroke();\n imageMode(CENTER);\n tint(255, this.visibility);\n image(this.image, this.x, this.y, this.radius, this.radius);\n\n pop();\n }\n }","function showMessage( msg )\r\n{\r\n\tdocument.getElementById(\"message\").style.visibility = \"visible\";\r\n\t document.getElementById(\"messageText\").innerHTML = msg;\r\n\tif ( msg == \"\" ) document.getElementById(\"message\").style.visibility = \"hidden\";\r\n}","function clearThumbs() {\n var msgBox = document.getElementById('msgs');\n if ( msgBox.hasChildNodes() ) {\n while ( msgBox.childNodes.length >= 1 ) {\n msgBox.removeChild( msgBox.firstChild );\n }\n }\n}","function clear() {\n var hidePanels = document.getElementsByClassName('hide');\n for (var i = 0; i < hidePanels.length; i++) {\n hidePanels[i].style.display = 'none';\n }\n gId(\"added_text\").style.background = \"#80B098\";\n gId(\"added_image\").style.background = \"#80B098\";\n gId(\"added_artifact\").style.background = \"#80B098\";\n gId('textarea').value = '';\n gId('textarea_artifact').value = '';\n gId('photo_cont').innerHTML = '';\n gId('photo_cont').style.display = 'none';\n}","function showMessage() {\n checkPlayerGuess();\n message.innerHTML = messageStatus;\n}","function clearMessages()\n{\n $(\"messagesDiv\").style[\"visibility\"] = \"hidden\";\n}","function displayEndScreen() {\n //display image\n image(imgEndScreen, 0, 0, windowWidth, windowWidth * 0.4);\n //Set text size in push-pop\n push();\n textSize(19);\n //If player hits zero kids, display this\n if (player.sentence === 0) {\n text(\"It took you only \" + player.timeSpent + \" hours and you did it \\nwithout bumping into children! \\nAmazing job, Hieronymous! Back to \\nloitering!\", 0 + windowWidth / 20, windowWidth / 5);\n //If player hits less than three kids, display this\n } else if (player.sentence < 107) {\n text(\"It took you only \" + player.timeSpent + \" hours \\nand you only added \" + player.sentence + \" days \\n to your community service!\", 0 + windowWidth / 20, windowWidth / 5);\n } else {\n //otherwise, display this message\n text(\"It took you \" + player.timeSpent + \" hours... \\n...but holy crap Hieronymous you added \" + player.sentence + \" days \\nto your community service. Embarrassing.\", 0 + windowWidth / 20, windowWidth / 5);\n }\n pop();\n\n}","function dogdate2Page() {\n image(date2, 0, 0, 800, 800);\n //text\n textSize(35);\n fill(255, 0, 220);\n text('you have a message from Chou Chou!', 550, 795);\n //exit box\n fill(180);\n rect(780, 0, 20, 19);\n line(780, 0, 800, 19);\n line(800, 0, 780, 19);\n if (mouseIsPressed && mouseX >= 780 && mouseX <= 800 && mouseY >= 0 && mouseY <= 19) {\n corgi1_s -= chouchouP;\n }\n //mail icon\n fill(250);\n rect(750, 780, 50, 20);\n line(750, 780, 775, 800);\n line(800, 780, 775, 800);\n if (mouseIsPressed && mouseX >= 750 && mouseX <= 800 && mouseY >= 780 && mouseY <= 800) {\n corgi1_s += 20;\n }\n}","function displayUser() {\n imageMode(CENTER);\n image(userMG.img, mouseX, mouseY, userMG.size, userMG.size);\n}","function clearMessage() {\n $(\".chat-wrapper\").empty();\n}","function showMessage() {\n showHide(chosenMessage, loader);\n currentMessage = retrieveMessage();\n chosenMessage.innerHTML = \"\";\n chosenMessage.innerHTML += `${currentMessage}`;\n show(clearMessage);\n // show(favoriteButton);\n}","function clearMsgs() {\n if(gameInfo.length != 0){\n gameInfo = [];\n }\n}","function removeFinishMessage() {\n \tfinish.style.display = 'none';\n winMessage.appendChild(restartCopy);\n \twinMessage.appendChild(starsCopy);\n \twinMessage.appendChild(timeCopy);\n \twinMessage.appendChild(moveTrackerCopy);\n}","function displayToScreen() {\n\n\n\t}","function clearScreen() {\n getlocation.html(\"\");\n locationStatus.html(\"\");\n showTemp.html(\"\");\n shortNews.html(\"\");\n dataTable.hide();\n $(\"#errorMessage\").hide();\n content.hide();\n loader.hide();\n }","function clearCanvas() {\n\t\tcontext.clearRect(0, 0, context.canvas.width, context.canvas.height);\n\t\tsmall_context.clearRect(0, 0, small_context.canvas.width, small_context.canvas.height);\n\t\t$(\".msg\").remove();\n\t}","function MessageDisplayWidget() {}","function clearMessage() {\r\n\t\t// For some reason, unless we call hide(), messages that were faded out\r\n\t\t// on a previous tab will be visible when we switch to that tab.\r\n\t\t$messageArea.fadeOut(\"slow\", function () { \r\n\t\t\t$(this).hide(); \r\n\t\t});\r\n\t}","function tryAgainPage() {\n image(cat, octoX + 350, octoY - 300, 300, 300 * aspectRatio); // This calls the image at the defined\n tryAgainMessage(octoX, octoY); // This calls the message function at the defined x, y position. \n tryAgainButton(bubButX, bubButY); // This calls the button function at the defined x, y position. \n}","function clearScreen() {\n\tletterString = \"\";\n\t$(\"#lettersGuessed\").html(\"<h3>Guesses Remaining: \" + guessesRemaining + \"</h3>\");\n\t$(\"#lettersGuessed\").append(\"<div>Letters Guessed Already</div>\");\n\t$(\"#lettersString\").text(letterString);\n}","function rpsFrontend (humanImgChoise, computerImgChoise, message) {\n var rspImgDatabase = {\n 'rock': document.getElementById('rock').src,\n 'paper': document.getElementById('paper').src,\n 'scissors': document.getElementById('scissors').src\n }\n \n //let remove all the images\n document.getElementById('rock').remove();\n document.getElementById('paper').remove();\n document.getElementById('scissors').remove();\n \n var humanDiv = document.createElement('div');\n var compDiv = document.createElement('div');\n var msgDiv = document.createElement('div');\n \n humanDiv.innerHTML = \" <img src= '\" + rspImgDatabase[humanImgChoise] + \"' style='box-shadow: 0px 0px 25px rgba(0, 0, 0, 0.8)' >\"\n \n msgDiv.innerHTML = \" <h1 style='color: \" + message['color'] + \"; font-size: 30px; padding: 20px; '>\" + message['message'] + \"</h1>\"\n \n compDiv.innerHTML = \" <img src= '\" + rspImgDatabase[computerImgChoise] + \"' style='box-shadow: 0px 0px 25px rgba(0, 8, 255, 0.8)' >\"\n \n document.getElementById('flex-box-img-div').appendChild(humanDiv);\n document.getElementById('flex-box-img-div').appendChild(msgDiv)\n document.getElementById('flex-box-img-div').appendChild(compDiv)\n \n}","function victoryScreen() {\n winCounter++;\n winCounterField.innerHTML = winCounter;\n answerField.innerHTML = answer;\n hintField.innerHTML = hint;\n answerPic.setAttribute('src', `assets/img/${answer}.jpg`);\n}","function flashImage(){\r\ndocument.getElementById('flash').innerHTML=\"<img src='http://lorempixel.com/600/400/'>\"\r\n// 5000 = 5 secs\r\nsetTimeout(function() {document.getElementById('flash').innerHTML='';},3000);\r\n}","function wrongAnswerScreen() {\n console.log('wrongAnswerScreen');\n $('#question').text(\"You Are Wrong!\");\n $('#timer').empty();\n $(\"#answer1\").empty();\n $(\"#answer2\").empty();\n $(\"#answer3\").empty();\n $(\"#answer4\").empty();\n $(\"#gif\").show();\n startResponseScreen()\n loser = true;\n}","display() {\n\t\tif (this.playerImage){\n\t\t\timageMode(CENTER);\n\t\t\timage(this.playerImage,this.x, this.y, this.size, this.size);\n\t\t} else {\n\t\t\tfill(this.col);\n\t\t\tellipse(this.x, this.y, this.size, this.size);\n\t\t}\n\t}","function hidepicture() {\n $(\"#answerDiv\").append(\"<img src=\" + pick.photo + \">\");\n newArray.push(pick);\n triviaQuestions.splice(index, 1);\n\n // hides end of game content until needed\n var hidepic = setTimeout(function () {\n $(\"#answerDiv\").empty();\n timer = 10;\n\n // show score tally after all questions have been asked\n if ((wrongCount + rightCount + unansweredCount) === questionsCount) {\n // removes question from div\n $(\"#questionDiv\").empty();\n // shows end of game text\n $(\"#questionDiv\").html(\"<h2>Game Over!<br><small>Here's how you did: </small></h2>\");\n $(\"#answerDiv\").append(\"<h4> Correct: \" + rightCount + \"</h4>\");\n $(\"#answerDiv\").append(\"<h4> Incorrect: \" + wrongCount + \"</h4>\");\n $(\"#answerDiv\").append(\"<h4> Unanswered: \" + unansweredCount + \"</h4>\");\n $(\"#reset\").show();\n rightCount = 0;\n wrongCount = 0;\n unansweredCount = 0;\n\n // if questions remain, run timer and ask remaining questions\n } else {\n runTimer();\n showQuestion();\n\n }\n // wait three seconds until next question\n }, 3000);\n }","display() {\n noStroke();\n fill(0);\n rect(this.frame.x,this.frame.y,1,1);\n imageMode(CENTER);\n image(girl_Img,this.frame.x+0.5,this.frame.y+0.5,2.25,2.75);\n }","function clearphoto() {\n\t var context = canvas.getContext('2d');\n\t context.fillStyle = \"#AAA\";\n\t context.fillRect(0, 0, canvas.width, canvas.height);\n\n\t var data = canvas.toDataURL('image/png');\n\t photo.setAttribute('src', data);\n\t user_pic.setAttribute('src', data);\n\t }"],"string":"[\n \"function clearChat() {\\n $(\\\"gameOutputField\\\").innerHTML = \\\"\\\";\\n displayMessage(\\\"<a href='images/how-about-no-bear.jpg' target='_blank'>see chat history</a>\\\");\\n $(\\\"gameInputField\\\").focus();\\n }\",\n \"function clearMessages() {\\n hint.textContent = \\\"\\\";\\n hold.textContent = \\\"\\\";\\n wrongGuess.textContent = \\\"\\\";\\n usedLetters.textContent = \\\"\\\";\\n usedLettersLabel.textContent = \\\"\\\";\\n changeImageNull(\\\"\\\");\\n \\n }\",\n \"function clearPicture() {\\n let context = canvas.getContext('2d');\\n context.fillStyle = \\\"#FFF\\\";\\n context.fillRect(0, 0, canvas.width, canvas.height);\\n\\n this.video.style.display = 'block';\\n this.canvas.style.display = 'none';\\n this.photo.style.display = 'none';\\n }\",\n \"function displayMessage () {\\n msgBtn.innerHTML = 'Gimme more blues!'\\n const quoteDisplay = document.getElementById('song');\\n const bgImage = document.getElementById('contentHolder');\\n bgImage.style.backgroundImage=\\\"url('./images/white_rect.jpg')\\\";\\n quoteDisplay.style.display = \\\"block\\\";\\n quoteDisplay.style.marginTop = \\\"600px\\\";\\n quoteDisplay.innerHTML = createSong();\\n document.getElementById('instructions').style.display = 'none';\\n}\",\n \"function consoleDisplay(img) {\\n elements.gameMessageContainer.innerHTML = \\\"\\\";\\n let html = `\\n <img class=\\\"console-messages\\\" src=\\\"img/${img}.png\\\">\\n `\\n\\n elements.gameMessageContainer.innerHTML = html;\\n}\",\n \"function showChat(pathFotoProfilo, nomeUtente){\\r\\n\\r\\n\\t//Div che contiene la chat (inizialmente non visibile)\\r\\n\\tdocument.getElementById(\\\"divChatBackground\\\").style.display = \\\"block\\\";\\r\\n\\r\\n\\t//Settaggio dell'immagine profilo\\r\\n\\tif(pathFotoProfilo != \\\"default\\\"){ //Se l'immagine è quella di default, l'url è già nel CSS\\r\\n\\t\\tvar pathBase = \\\"../upload/\\\";\\r\\n\\t\\tvar pathFinale = pathBase + pathFotoProfilo;\\r\\n\\t\\tdocument.getElementById(\\\"divImgProfiloChat\\\").style.backgroundImage = \\\"url('\\\" + pathFinale + \\\"')\\\";\\r\\n\\t}\\r\\n\\r\\n\\t//Settaggio del nome dell'utente con cui stiamo parlando\\r\\n\\tvar titoloNomeUtente = document.getElementById(\\\"chatNomeUtente\\\")\\r\\n\\tif(titoloNomeUtente == null){\\r\\n\\t\\ttitoloNomeUtente = document.createElement(\\\"h5\\\");\\r\\n\\t\\ttitoloNomeUtente.id = \\\"chatNomeUtente\\\";\\r\\n\\t\\tdocument.getElementById(\\\"divChatUp\\\").appendChild(titoloNomeUtente);\\r\\n\\t}\\r\\n\\ttitoloNomeUtente.textContent = nomeUtente;\\r\\n\\t\\r\\n\\r\\n\\t//Richiamiamo periodicamente la funzione che controlla i nuovi messaggi in arrivo\\r\\n\\tintervalloChat = setInterval(checkNewMessage, 1000);\\r\\n}\",\n \"function welcomeDisplay1() {\\n push();\\n background(boxOffice1.image);\\n imageMode(CENTER);\\n image(sonicSign.image, sonicSign.x, sonicSign.y, 600, 180);\\n pop();\\n}\",\n \"function msgCreator(message, correctAnswerText, correctAnswerImage) {\\n var messageToDisplay = \\\"<h1>\\\" + message + \\\"</h1>\\\";\\n messageToDisplay = messageToDisplay + \\\"<h4>\\\" + correctAnswerText + \\\"</h4>\\\" + '<img src=\\\"' + correctAnswerImage + '\\\">';\\n $(\\\".messageDiv\\\").html(messageToDisplay);\\n $(\\\".messageDiv\\\").show();\\n setTimeout(function () {\\n $(\\\".messageDiv\\\").hide();\\n }, 3000);\\n }\",\n \"function displayMessage(id, timestamp, name, text, picUrl, imageUrl) {\\n var div = document.getElementById(id) || createAndInsertMessage(id, timestamp);\\n\\n // profile picture\\n if (picUrl) {\\n div.querySelector('.pic').style.backgroundImage = 'url(' + addSizeToGoogleProfilePic(picUrl) + ')';\\n }\\n\\n div.querySelector('.name').textContent = name;\\n var messageElement = div.querySelector('.message');\\n\\n if (messageListElement != null) {\\n if (text) { // If the message is text.\\n messageElement.textContent = text;\\n // Replace all line breaks by <br>.\\n messageElement.innerHTML = messageElement.innerHTML.replace(/\\\\n/g, '<br>');\\n } else if (imageUrl) { // If the message is an image.\\n var image = document.createElement('img');\\n image.addEventListener('load', function () {\\n messageListElement.scrollTop = messageListElement.scrollHeight;\\n });\\n image.src = imageUrl + '&' + new Date().getTime();\\n messageElement.innerHTML = '';\\n messageElement.appendChild(image);\\n }\\n // Show the card fading-in and scroll to view the new message.\\n setTimeout(function () { div.classList.add('visible') }, 1);\\n messageListElement.scrollTop = messageListElement.scrollHeight;\\n messageInputElement.focus();\\n }\\n}\",\n \"function clearMsg() {\\n document.getElementById('gameMsg').innerHTML = \\\"\\\";\\n}\",\n \"function displayMessage(id, timestamp, name, text, picUrl, imageUrl) {\\n var div = document.getElementById(id) || createAndInsertMessage(id, timestamp);\\n\\n // profile picture\\n if (picUrl) {\\n div.querySelector('.pic').style.backgroundImage = 'url(' + addSizeToGoogleProfilePic(picUrl) + ')';\\n }\\n\\n div.querySelector('.name').textContent = name;\\n var messageElement = div.querySelector('.message');\\n\\n if (text) { // If the message is text.\\n messageElement.textContent = text;\\n // Replace all line breaks by <br>.\\n messageElement.innerHTML = messageElement.innerHTML.replace(/\\\\n/g, '<br>');\\n } else if (imageUrl) { // If the message is an image.\\n var image = document.createElement('img');\\n image.addEventListener('load', function() {\\n messageListElement.scrollTop = messageListElement.scrollHeight;\\n });\\n image.src = imageUrl + '&' + new Date().getTime();\\n messageElement.innerHTML = '';\\n messageElement.appendChild(image);\\n }\\n // Show the card fading-in and scroll to view the new message.\\n setTimeout(function() {div.classList.add('visible')}, 1);\\n messageListElement.scrollTop = messageListElement.scrollHeight;\\n messageInputElement.focus();\\n}\",\n \"function hideGameMsg() {\\n clearMsg();\\n document.getElementById('gameMsgBox').style.display = 'none';\\n}\",\n \"function displayMessage(id, timestamp, name, text, picUrl, imageUrl) {\\n var div = document.getElementById(id) || createAndInsertMessage(id, timestamp);\\n\\n // profile picture\\n if (picUrl) {\\n div.querySelector('.pic').style.backgroundImage = 'url(' + addSizeToGoogleProfilePic(picUrl) + ')';\\n }\\n\\n div.querySelector('.name').textContent = name;\\n var messageElement = div.querySelector('.message');\\n\\n if (text) { // If the message is text.\\n messageElement.textContent = text;\\n // Replace all line breaks by <br>.\\n messageElement.innerHTML = messageElement.innerHTML.replace(/\\\\n/g, '<br>');\\n } else if (imageUrl) { // If the message is an image.\\n var image = document.createElement('img');\\n image.addEventListener('load', function () {\\n messageListElement.scrollTop = messageListElement.scrollHeight;\\n });\\n image.src = imageUrl + '&' + new Date().getTime();\\n messageElement.innerHTML = '';\\n messageElement.appendChild(image);\\n }\\n // Show the card fading-in and scroll to view the new message.\\n setTimeout(function () { div.classList.add('visible') }, 1);\\n messageListElement.scrollTop = messageListElement.scrollHeight;\\n messageInputElement.focus();\\n }\",\n \"function useSticker(e) {\\n const message = `<img src=\\\"${e.src}\\\" class=\\\"graphics-container-item\\\" />`;\\n socket.emit(\\\"chat-message\\\", message);\\n graphics.classList.add(\\\"no-display\\\");\\n graphics.innerHTML = \\\"\\\";\\n}\",\n \"function view_messages(msg) {\\n jQuery(\\\"#messages_plugin\\\").empty();\\n jQuery(\\\"#messages_plugin\\\").html(msg);\\n jQuery(\\\"#messages_plugin\\\").fadeIn(200);\\n jQuery(\\\"#messages_plugin\\\").fadeOut(5000);\\n }\",\n \"function timerGo_pic() {\\n IDx('response_img_id').style.display = 'none'; //makes img disappear abruptly\\n }\",\n \"function changepicture() {\\n i = 0;\\n sendinformation();\\n \\n}\",\n \"function resetDisplay() {\\n\\t\\tctx.clearRect(0,0,610,550);\\n\\t\\tctx.strokeRect(40, 10, 530, 539);\\n\\t\\t$(\\\"#controls button\\\").button(\\\"disable\\\");\\n\\t\\t$(\\\"#seeker\\\").slider(\\\"disable\\\");\\n\\t\\t$(\\\"#display-options input\\\").attr(\\\"disabled\\\",\\\"disabled\\\");\\n\\t\\t$(\\\".game-status .p1, .game-status .p2, .game-status .message\\\").empty();\\n\\t\\t$(\\\".game-status .message\\\").removeClass(\\\"neutral-text p1-text p2-text\\\").css(\\\"visibility\\\",\\\"hidden\\\");\\n\\t\\t$(\\\".display .p1-text, .display .p2-text\\\").html(1000);\\n\\t\\t$(\\\".names-time .time\\\").html(0);\\n\\t\\t$(\\\"#canvas-alt\\\").remove();\\n\\t}\",\n \"function display(picture, sizeX, sizeY){\\n imageMode(CENTER);\\n image(picture,stealer.pos.x, stealer.pos.y, sizeX, sizeY);\\n}\",\n \"function showResetScreen(message) {\\n resetScreen.classList.add('show_piece');\\n resetScreen.querySelector('h3').textContent = message;\\n}\",\n \"function onClearAll() {\\n gMeme.txts = [];\\n showImg();\\n}\",\n \"function displayLoss(){\\n\\tpageOptions.reference.innerHTML = \\t\\\"<img src='img/layer.png' style='display:block;width:100%;height:100%'>\\\"+\\n\\t\\\"<img src='img/tryagain.png' id='tryAgain'>\\\" +\\n\\t\\\"<img src='' onclick='playBackground()' id='ayy'>\\\" +\\n \\\"<img src='img/button_menu.png' onclick='pageOptions.setPage()' id='menu'>\\\" +\\n \\\"<img src='img/button_check.png' onclick='pageOptions.setPage1t()' id='yes'>\\\" +\\n\\t\\\"<img src='img/button_xmark.png' onclick='enterName()' id='no'>\\\";\\n\\tsetAudioImg();\\n clock.lost = false;\\n resetTimer();\\n}\",\n \"function clear() {\\n input.style.display = 'none';\\n button.style.display = 'none';\\n button2.style.display = 'block';\\n ask.innerHTML = input.value;\\n start.src =ballImageArray[Math.floor(Math.random() *ballImageArray.length)];\\n}\",\n \"function showDisplayPicture() {\\n\\t\\tif (settings.displayPicture != \\\"\\\") {\\n\\t\\t\\t$(\\\"#statusBoxDisplayPictureFrame\\\")\\n\\t\\t\\t\\t.html(\\\"<div></div>\\\");\\n\\t\\t\\t$(\\\"#statusBoxDisplayPictureFrame div\\\")\\n\\t\\t\\t\\t.css({backgroundImage: \\\"url(\\\" + settings.displayPicture + \\\")\\\"});\\n\\t\\t}\\n\\t}\",\n \"function newGame() {\\n resetGame()\\n winTotal = 0\\n removePicture()\\n document.getElementById(\\\"poster\\\").style.display = \\\"inline\\\";\\n}\",\n \"function displayMessage(id, timestamp, name, text, picUrl, imageUrl, lat, lng) {\\n var div = document.getElementById(id) || createAndInsertMessage(id, timestamp);\\n\\n // profile picture\\n if (picUrl) {\\n div.querySelector('.pic').style.backgroundImage = 'url(' + addSizeToGoogleProfilePic(picUrl) + ')';\\n }\\n\\n if (!timestamp) return;\\n\\n var dist_away = Math.round(latlng_dist(pos_lat,pos_lng, lat,lng));\\n div.querySelector('.name').textContent = name + \\\" (\\\"+formatAMPM(timestamp.toDate()) + \\\" ~\\\" + dist_away + \\\"mi away)\\\";\\n var messageElement = div.querySelector('.message');\\n\\n if (text) { // If the message is text.\\n messageElement.textContent = text;\\n // Replace all line breaks by <br>.\\n messageElement.innerHTML = messageElement.innerHTML.replace(/\\\\n/g, '<br>');\\n } else if (imageUrl) { // If the message is an image.\\n var image = document.createElement('img');\\n image.addEventListener('load', function() {\\n messageListElement.scrollTop = messageListElement.scrollHeight;\\n });\\n image.src = imageUrl + '&' + new Date().getTime();\\n messageElement.innerHTML = '';\\n messageElement.appendChild(image);\\n }\\n // Show the card fading-in and scroll to view the new message.\\n setTimeout(function() {div.classList.add('visible')}, 1);\\n messageListElement.scrollTop = messageListElement.scrollHeight;\\n messageInputElement.focus();\\n}\",\n \"function output (){\\n document.getElementById(\\\"finalMessage\\\").innerHTML = finalMessage(name, printSign, message);\\n document.getElementById(\\\"image\\\").innerHTML = \\\"<img src= img/\\\"+ getImage(signNum)+ \\\"/>\\\";\\n document.getElementById(\\\"birthdayMessage\\\").innerHTML = getBirthday(month,day);\\n\\n}\",\n \"function dispResults() {\\n $('.qanda-disp').empty();\\n $('.timer').hide();\\n $('.response-feedback').text('Congratulations! Your score was: ' + score);\\n //display end-of-game img \\n}\",\n \"function showMessage(message)\\n{\\n $(\\\"messagesDiv\\\").innerHTML = message; \\n $(\\\"messagesDiv\\\").style[\\\"visibility\\\"] = \\\"visible\\\";\\n if (messageTimer) clearTimeout(messageTimer);\\n messageTimer = setTimeout(clearMessages, prefs.getPref(\\\"MESSAGES_TIMEOUT\\\"));\\n}\",\n \"function ClearMessagePane() {}\",\n \"function clearScreen() {\\n displayScreen.innerHTML = \\\"\\\";\\n}\",\n \"function textOnScreen() {\\n createP('Refresh The Page To Reset');\\n createP('Press W to Remove Obstacles');\\n createP('Press Q To Increase Number of Obstacles');\\n }\",\n \"function answerWrong() {\\n displayImage();\\n}\",\n \"displayBoard(message) {\\n $('.menu').css('display', 'none');\\n $('.gameBoard').css('display', 'block');\\n $('#userHello').html(message);\\n this.createGameBoard();\\n }\",\n \"function out() {\\n\\tif (this.id == 0)\\n\\tthis.src = \\\"box.png\\\";\\n}\",\n \"function clearScreen() {\\n $('#details').text('You closed tab, Need to clear you from online users. If you didnt mean to leave, click HOME link and rejoin.');\\n $('.sqr-con').css('display','none');\\n}\",\n \"function displayRandomMessage() {\\n showHide(loader, logo);\\n hide(chosenMessage);\\n // hide(favoriteButton);\\n var timer;\\n timer = setTimeout(showMessage, 1500);\\n}\",\n \"function congratulationsScreen () {\\n console.log('congratulationsScreen');\\n \\n $('#question').text(\\\"You Are Correct!\\\")\\n $('#timer').empty();\\n $(\\\"#answer1\\\").empty();\\n $(\\\"#answer2\\\").empty();\\n $(\\\"#answer3\\\").empty();\\n $(\\\"#answer4\\\").empty();\\n $(\\\"#gif\\\").show();\\n startResponseScreen();\\n winner = true;\\n}\",\n \"noSignature(){\\n\\t\\tthis.context.font = \\\"25px Arial\\\";\\n\\t\\tthis.context.fillStyle = \\\"red\\\";\\n\\t\\tthis.context.fillText(\\\"Informations incomplètes.\\\", 7, 80);\\n\\t\\tsetTimeout(function(){ // retrait du message après deux secondes\\n\\t\\t\\tthis.context.clearRect(0, 0, this.canvas.width, this.canvas.height);\\n\\t\\t}.bind(this), 2000);\\n\\t}\",\n \"function feedNewPic () {\\n closeRelay(A5, feedNewPicButtonTreshold, true);\\n setTimeout(function() {\\n takePicture();\\n }, feedNewPicTreshold);\\n}\",\n \"function displayImage(srcData,usernameData) {\\r\\n const div = document.createElement('div');\\r\\n\\r\\n const p = document.createElement('p');\\r\\n p.classList.add('meta');\\r\\n p.innerText = \\\"\\\";\\r\\n p.innerHTML += `<span>${usernameData}</span>`;\\r\\n p.style.color = 'green';\\r\\n p.style.fontFamily = 'Lucida Handwriting';\\r\\n div.appendChild(p);\\r\\n document.querySelector('.chat-messages').append(div);\\r\\n\\r\\n const div2 = document.createElement('div');\\r\\n var newImage = document.createElement('img');\\r\\n newImage.src = srcData;\\r\\n div2.append(newImage);\\r\\n\\r\\n //div.append(newImage);\\r\\n document.querySelector('.chat-messages').append(div2);\\r\\n \\r\\n}\",\n \"function eraseMessages() {\\n\\tanswer.innerHTML = '';\\n\\teraseButton.style.display = 'none';\\n}\",\n \"function clearUserMessages() {\\r\\n document.getElementById(\\\"message1\\\").innerHTML = \\\"\\\"\\r\\n}\",\n \"function clearimage() {\\n document.getElementById('image').innerText = \\\"\\\";\\n\\n }\",\n \"function displayGIF(status,correctAnswer) {\\n \\n if(status === \\\"win\\\") {\\n $(\\\".triviaText\\\").html(`\\n <p>Congrats you chose correctly!</p>\\n <p>The correct answer was ${correctAnswer}</p>\\n <img src=\\\"${randomImage()}\\\"/>\\n `)\\n }\\n else if (status === \\\"lose\\\") {\\n $(\\\".triviaText\\\").html(`\\n <p>The answer you chose was incorrect!</p>\\n <p>The correct answer was ${correctAnswer}</p>\\n <img src=\\\"${randomImage()}\\\"/>\\n `)\\n }\\n}\",\n \"function drawMessage() {\\n ctx.fillStyle = questionBarColor;\\n ctx.fillRect(canvas.width / 2 - 250, canvas.height - 325, 500, 150);\\n ctx.fillStyle = \\\"white\\\";\\n ctx.font = \\\" 32px cymraeg\\\";\\n ctx.fillText(\\\"Dewiswch avatar,\\\", canvas.width / 2 - 5, canvas.height - 310);\\n ctx.fillText(\\\"yna, rhowch eich enw\\\", canvas.width / 2 - 5, canvas.height - 270);\\n ctx.fillText(\\\"a cliciwch parhau\\\", canvas.width / 2 - 5, canvas.height - 230);\\n}\",\n \"function rpsFrontEnd(humanImageChoice, botImageChoice, finalMessage) {\\n var imagesDatabase = {\\n rock: document.getElementById(\\\"rock\\\").src,\\n paper: document.getElementById(\\\"paper\\\").src,\\n scissor: document.getElementById(\\\"scissor\\\").src,\\n };\\n document.getElementById(\\\"rock\\\").remove();\\n document.getElementById(\\\"paper\\\").remove();\\n document.getElementById(\\\"scissor\\\").remove();\\n\\n var humanDiv = document.createElement(\\\"div\\\");\\n var messageDiv = document.createElement(\\\"div\\\");\\n var botDiv = document.createElement(\\\"div\\\");\\n\\n humanDiv.innerHTML =\\n \\\"<img src='\\\" +\\n imagesDatabase[humanImageChoice] +\\n \\\"' height=150,width=150 style= 'box-shadow:0px 10px 50px rgba(37,50,233,1)'>\\\";\\n messageDiv.innerHTML =\\n \\\"<h1 style='color:\\\" +\\n finalMessage[\\\"color\\\"] +\\n \\\"; font-size:60px; padding :30px '>\\\" +\\n finalMessage[\\\"message\\\"] +\\n \\\"</h1>\\\";\\n botDiv.innerHTML =\\n \\\"<img src='\\\" +\\n imagesDatabase[botImageChoice] +\\n \\\"' height=150,width=150 style= 'box-shadow:0px 10px 50px rgba(243,38,24,1)'>\\\";\\n\\n document.getElementById(\\\"flex-box-rps\\\").appendChild(humanDiv);\\n document.getElementById(\\\"flex-box-rps\\\").appendChild(messageDiv);\\n document.getElementById(\\\"flex-box-rps\\\").appendChild(botDiv);\\n}\",\n \"function displayMessage(message) {\\n closePopups();\\n $(\\\"#message-box\\\").text(message);\\n $(\\\".backdrop\\\").css(\\\"display\\\", \\\"inline\\\");\\n $(\\\"#info-box\\\").css(\\\"display\\\", \\\"inline\\\");\\n }\",\n \"function scoreboard(){\\n $('#timeLeft').empty();\\n $('#message').empty();\\n $('#correctedAnswer').empty();\\n $('#gif').hide();\\n $(\\\"#gifCaption\\\").hide();\\n \\n $('#finalMessage').html(messages.finished);\\n $('#correctAnswers').html(\\\"Correct Answers: \\\" + correctAnswer);\\n $('#incorrectAnswers').html(\\\"Incorrect Answers: \\\" + incorrectAnswer);\\n $('#unanswered').html(\\\"Unanswered: \\\" + unanswered);\\n $('#startOverBtn').addClass('reset');\\n $('#startOverBtn').show();\\n $('#startOverBtn').html(\\\"PLAY AGAIN\\\");\\n }\",\n \"function VictoryScreen(TopBorderX,TopBorderY){\\n background(0);\\n fill(58,134,183);\\n textSize(75);\\n text('CONGRATULATIONS',250,SmaeY);\\n textSize(24);\\n text('Thank You for Playing!',500,SmaeY+100);\\n text('Press 0 to Begin Again',500,SmaeY+150);\\n noLoop();\\n}\",\n \"function update_message(m, clear)\\n{\\n if (clear) {\\n $('#message').empty();\\n }\\n $('#message').append($('<div/>',{text:m}));\\n}\",\n \"function showMeme(good) {\\n\\n // Show celebration meme or fail meme? Choose a suitable GIF.\\n var choice=(good ? successMemes : failMemes);\\n var whatWeWant=parseInt(Math.floor((choice.length-.1)*Math.random()))\\n var gif = choice[whatWeWant];\\n\\n // Render it:\\n meme.innerHTML='';\\n img = document.createElement('img');\\n img.className='meme';\\n img.style.width='80%';\\n img.src=gif;\\n meme.appendChild(img);\\n meme.style.display='inline';\\n }\",\n \"drawOffscreen() { }\",\n \"function displayImage(){\\n\\n}\",\n \"function popupFinalResults(text) {\\n if (winner) {\\n memorygameResultImg.src = \\\"img/got-winner.png\\\";\\n } else {\\n memorygameResultImg.src = \\\"img/got-looser.png\\\";\\n }\\n finalMessage.innerText = text;\\n popup.style.display = 'flex';\\n popupResult.classList.remove(\\\"hidden\\\");\\n}\",\n \"function deletePicture() {\\n symbols = [];\\n drawBG();\\n }\",\n \"function ClearOldMessage(){\\n document.getElementById(\\\"message\\\").innerHTML = \\\"\\\";\\n}\",\n \"function show_liveview_img(msg_dec){\\n\\t// hide loading dialog, if there is one\\n\\tvar txt=$(\\\"#\\\"+msg_dec[\\\"mid\\\"]+\\\"_liveview_txt\\\");\\n\\tif(txt.length){\\n\\t\\ttxt.hide();\\n\\t};\\n\\n\\t// show debug speed\\n\\tif(msg_dec[\\\"up_down_debug\\\"]!=\\\"\\\"){\\n\\t\\ttxt=$(\\\"#\\\"+msg_dec[\\\"mid\\\"]+\\\"_liveview_up_down_debug\\\");\\n\\t\\tif(txt.length){\\n\\t\\t\\ttxt.show();\\n\\t\\t}\\n\\t\\ttxt.text(msg_dec[\\\"up_down_debug\\\"]);\\n\\t};\\n\\n\\t// display picture\\n\\tvar img=$(\\\"#\\\"+msg_dec[\\\"mid\\\"]+\\\"_liveview_pic\\\");\\n\\tif(img.length){\\n\\t\\t//console.log(\\\"mid_img: #\\\"+msg_dec[\\\"mid\\\"]+\\\"_liveview_pic gefunden!!\\\");\\n\\n\\t\\tif(msg_dec[\\\"img\\\"]!=\\\"\\\"){\\n\\t\\t\\t// if we receive the first image, scroll to it\\n\\t\\t\\tif(img.attr(\\\"src\\\")==host+\\\"images/support-loading.gif\\\"){\\n\\t\\t\\t$('html,body').animate({\\n\\t\\t\\t\\t\\tscrollTop: img.offset().top-($(window).height()/20)\\n\\t\\t\\t\\t},1000);\\n\\t\\t\\t};\\n\\n\\t\\t\\t// display image\\n\\t\\t\\tresize_alert_pic(msg_dec[\\\"mid\\\"],msg_dec[\\\"img\\\"]);\\n\\t\\t};\\n\\t} else {\\n\\t\\tconsole.log(\\\"konnte mid_img: #\\\"+msg_dec[\\\"mid\\\"]+\\\"_liveview_pic nicht finden!!\\\");\\n\\t};\\n\\n\\t// handle countdown\\n\\tif(msg_dec[\\\"webcam_countdown\\\"]<90){\\n\\t\\tvar cmd_data = { \\\"cmd\\\":\\\"reset_webcam_countdown\\\"};\\n\\t\\tconsole.log(JSON.stringify(cmd_data));\\n\\t\\tcon.send(JSON.stringify(cmd_data)); \\t\\t\\n\\t}\\n}\",\n \"display() {\\n // draw our player at their current position with the correct graphic\\n image(this.myGraphic, this.xPos, this.yPos);\\n }\",\n \"function changeUI() {\\n //Show detected mood\\n pageheader.innerHTML = \\\"You look like \\\" + age + \\\" years old. You feel like: \\\"; //Remember currentMood is a Mood object, which has a name and emoji linked to it. \\n //Show mood emoji\\n var img = $(\\\"#selected-img\\\")[0]; //getting a predefined area on our webpage to show the emoji\\n img.src = recommendation.picture; //link that area to the emoji of our currentMood.\\n img.style.display = \\\"block\\\"; //just some formating of the emoji's location\\n //Display song refresh button\\n refreshbtn.style.display = \\\"inline\\\";\\n //Remove offset at the top\\n pagecontainer.style.marginTop = \\\"20px\\\";\\n}\",\n \"function drawMessageBox(msgService, title, face, lines, boxPosition, boxAutoSize, pictures) {\\n\\t// DROP PICTURES ONTO THE SCREEN\\n\\twhile (pictures.hasNext()) {\\n\\t\\tmsgService.addActor(pictures.next().getImage());\\n\\t}\\n\\n\\t// CREATE LAYOUT TABLE\\n\\ti18nContainer = \\\"messageText\\\";\\n\\tvar skin = msgService.skinNormal;\\n\\tvar t = new ui.Table().top();\\n\\tt.setBackground(msgService.createDrawable(\\\"data/image/customDesign/WindowBackground.png\\\"));\\n\\tt.setWidth($.screen.width);\\n\\tt.setHeight(200);\\n\\tt.setY($.screen.height-200);\\n\\n\\t// TITLE\\n\\tt.row().fillX().expandX().pad(5);\\n\\tvar l = new ui.Label(i18nText(title), skin);\\n\\tl.setColor(0.7, 0.7, 0.7, 1);\\n\\tt.add(l).colspan(2);\\n\\n\\t// FACE\\n\\tt.row().pad(5);\\n\\tif (face != null) {\\n\\t\\tt.add(new ui.Image(face));\\n\\t} else {\\n\\t\\tt.add(); // empty cell because of colspan=2\\n\\t}\\n\\n\\t// CREATE MESSAGE-LINE TABLE\\n\\tvar t2 = new ui.Table().top();\\n\\tfor (var i = 0, n = lines.size; i < n; i++) {\\n\\t\\tt2.row().fillX().expandX();\\n\\t\\tvar msgLine = lines.get(i);\\n\\t\\t// CONVERT TEXT LANGUAGE I18N\\n\\t\\tmsgLine.text = i18nText(msgLine.text);\\n\\t\\tt2.add(msgLine.getActor());\\n\\t}\\n\\n\\t// CREATE SCROLLPANE\\n\\tvar s = new ui.ScrollPane(t2, skin);\\n\\ts.setFadeScrollBars(false);\\n\\tt.add(s).fill().expand();\\n\\n\\t// MAKE WINDOW VISIBLE AND FOCUS FIRST INPUT-FIELD ON DESKTOP\\n\\tmsgService.addActor(t);\\n\\tif (desktopMode) msgService.focus(t2);\\n}\",\n \"function clearScreen()\\n {\\n // TODO: find a way to do this cleaner and not on every draw call so I can \\n // create animations that work correctly\\n $(\\\"#pickJedi0\\\").empty();\\n $(\\\"#pickJedi1\\\").empty();\\n $(\\\"#pickJedi2\\\").empty();\\n $(\\\"#pickJedi3\\\").empty();\\n $(\\\"#playerJedi\\\").empty();\\n $(\\\"#enemyJedi\\\").empty();\\n $(\\\"#pickEnemyJedi0\\\").empty();\\n $(\\\"#pickEnemyJedi1\\\").empty();\\n $(\\\"#pickEnemyJedi2\\\").empty();\\n $(\\\"#textField\\\").empty();\\n $(\\\"#textField2\\\").empty();\\n $(\\\"#fight\\\").hide();\\n $(\\\"#replay\\\").hide();\\n }\",\n \"function showMessage (parameters) {\\n var message = parameters.message, position = parameters.position;\\n if (!position) position = \\\"top-right\\\";\\n\\n uiOnboarding.messageHolder.toggleClass(\\\"yellow-background\\\");\\n setTimeout(function () { uiOnboarding.messageHolder.toggleClass(\\\"yellow-background\\\"); }, 100);\\n\\n uiOnboarding.messageHolder.css({\\n top: 0,\\n left: 0,\\n width: 300\\n });\\n\\n\\n if (!uiOnboarding.messageHolder.is(\\\":visible\\\")) uiOnboarding.messageHolder.show();\\n\\n\\n uiOnboarding.background.css(\\\"visibility\\\", \\\"hidden\\\");\\n if (parameters) {\\n if (\\\"width\\\" in parameters) {\\n uiOnboarding.messageHolder.css(\\\"width\\\", parameters.width);\\n }\\n\\n if (\\\"left\\\" in parameters) {\\n uiOnboarding.messageHolder.css(\\\"left\\\", parameters.left);\\n }\\n\\n if (\\\"top\\\" in parameters) {\\n uiOnboarding.messageHolder.css(\\\"top\\\", parameters.top);\\n }\\n\\n if (\\\"background\\\" in parameters && parameters.background) {\\n uiOnboarding.background.css(\\\"visibility\\\", \\\"visible\\\");\\n }\\n }\\n\\n uiOnboarding.messageHolder.html((typeof message == \\\"function\\\" ? message() : message));\\n }\",\n \"function cerrar(){\\n document.getElementById(\\\"up\\\").style.display = \\\"block\\\";\\n document.getElementById(\\\"chat\\\").style.display = \\\"none\\\";\\n}\",\n \"function image_display() {\\r\\n\\r\\n}\",\n \"function removePicture () {\\n document.getElementById(\\\"swayze\\\").style.display = \\\"none\\\";\\n document.getElementById(\\\"keanu\\\").style.display = \\\"none\\\";\\n document.getElementById(\\\"skydive\\\").style.display = \\\"none\\\";\\n document.getElementById(\\\"reagan\\\").style.display = \\\"none\\\";\\n document.getElementById(\\\"kiedis\\\").style.display = \\\"none\\\";\\n document.getElementById(\\\"poster\\\").style.display = \\\"none\\\";\\n}\",\n \"function clearmessage(){\\n\\t$(\\\"#message\\\").html(\\\"<p></p>\\\");\\n}\",\n \"function image() {\\r\\n // Set variable as the div in order to check if the div is there\\r\\n var location = document.getElementById('imgSection');\\r\\n // If an image IS there\\r\\n if (document.getElementById('charImage')) {\\r\\n // Remove the current character image from the div\\r\\n location.removeChild(characterImage);\\r\\n }\\r\\n // Get a random character image\\r\\n randomHira = imgRandom(hiraArray);\\r\\n // Set new img element's src as the \\\"character\\\" image src\\r\\n characterImage.src = randomHira.src;\\r\\n // Append img to page\\r\\n location.appendChild(characterImage);\\r\\n // Clear the text entry box of the User's previous answer\\r\\n document.forms['form1'].reset();\\r\\n}\",\n \"function displayImage(user , srcData ) {\\r\\n var newImage = document.createElement('img');\\r\\n newImage.src = srcData;\\r\\n \\r\\n // document.getElementById(\\\"historyMsg\\\").innerHTML = user + newImage.outerHTML;\\r\\n \\r\\n messageArea.append(newImage);\\r\\n appendMessage(`${user} send image...`);\\r\\n autoScrollDown();\\r\\n // alert(\\\"Converted Base64 version is \\\" + document.getElementById(\\\"historyMsg\\\").innerHTML);\\r\\n\\r\\n}\",\n \"function drawText(message,clear) {\\n\\tvar canvas = document.getElementById(\\\"game\\\");\\n\\tvar ctx = canvas.getContext('2d');\\n\\n\\t//clear\\n\\tif (clear)\\n\\t\\tctx.clearRect(0,0,canvas.width,canvas.height);\\n\\n\\t//Draw needed game message\\n\\tctx.font = \\\"30px serif\\\";\\n\\tctx.fillStyle = \\\"white\\\";\\n\\tctx.fillText(message, canvas.width/2.5, canvas.height/3);\\n\\n}\",\n \"function hideOrShowMessage(){\\n let displayOrHideMessage = localStorage.getItem('messageDisplay');\\n let buttonOpenSource, buttonCloseSource;\\n\\n if(document.body.dataset.pagename == \\\"home\\\"){\\n buttonOpenSource = \\\"./content/images/icons/open-news-64.png\\\";\\n buttonCloseSource = \\\"./content/images/icons/close-news-64.png\\\";\\n }\\n else{\\n buttonOpenSource = \\\"../images/icons/open-news-64.png\\\";\\n buttonCloseSource = \\\"../images/icons/close-news-64.png\\\";\\n }\\n\\n if( displayOrHideMessage !== null){\\n if(displayOrHideMessage == \\\"true\\\"){\\n closeBtn.src = buttonCloseSource;\\n removeArea.style.display = \\\"block\\\";\\n messageArea.style.border = \\\"none\\\"; \\n }\\n else{\\n closeBtn.src = buttonOpenSource;\\n removeArea.style.display = \\\"none\\\";\\n messageArea.style.border = \\\"1px solid white\\\";\\n }\\n\\n }\\n else{\\n console.log(\\\"empty messageDisplay\\\")\\n localStorage.setItem('messageDisplay', \\\"true\\\");\\n closeBtn.src = buttonCloseSource;\\n removeArea.style.display = \\\"block\\\";\\n messageArea.style.border = \\\"none\\\";\\n }\\n // console.log(closeBtn.src);\\n }\",\n \"function abrir(){\\n document.getElementById(\\\"up\\\").style.display = \\\"none\\\";\\n document.getElementById(\\\"chat\\\").style.display = \\\"block\\\"; \\n getMessages();\\n}\",\n \"sendGif(e) {\\n const imageData = {\\n body: e.target.src,\\n username: this.props.profile.given_name,\\n timestamp: moment((new Date).getTime())\\n .format(\\\"MMMM Do YYYY, h:mm:ss a\\\"),\\n image: this.props.profile.picture\\n }\\n this.props.receiveMessage(imageData);\\n this.props.saveToDatabase(imageData)\\n }\",\n \"display() {\\n if (this.isAvailable) {\\n push();\\n noStroke();\\n imageMode(CENTER);\\n tint(255, this.visibility);\\n image(this.image, this.x, this.y, this.radius, this.radius);\\n\\n pop();\\n }\\n }\",\n \"function showMessage( msg )\\r\\n{\\r\\n\\tdocument.getElementById(\\\"message\\\").style.visibility = \\\"visible\\\";\\r\\n\\t document.getElementById(\\\"messageText\\\").innerHTML = msg;\\r\\n\\tif ( msg == \\\"\\\" ) document.getElementById(\\\"message\\\").style.visibility = \\\"hidden\\\";\\r\\n}\",\n \"function clearThumbs() {\\n var msgBox = document.getElementById('msgs');\\n if ( msgBox.hasChildNodes() ) {\\n while ( msgBox.childNodes.length >= 1 ) {\\n msgBox.removeChild( msgBox.firstChild );\\n }\\n }\\n}\",\n \"function clear() {\\n var hidePanels = document.getElementsByClassName('hide');\\n for (var i = 0; i < hidePanels.length; i++) {\\n hidePanels[i].style.display = 'none';\\n }\\n gId(\\\"added_text\\\").style.background = \\\"#80B098\\\";\\n gId(\\\"added_image\\\").style.background = \\\"#80B098\\\";\\n gId(\\\"added_artifact\\\").style.background = \\\"#80B098\\\";\\n gId('textarea').value = '';\\n gId('textarea_artifact').value = '';\\n gId('photo_cont').innerHTML = '';\\n gId('photo_cont').style.display = 'none';\\n}\",\n \"function showMessage() {\\n checkPlayerGuess();\\n message.innerHTML = messageStatus;\\n}\",\n \"function clearMessages()\\n{\\n $(\\\"messagesDiv\\\").style[\\\"visibility\\\"] = \\\"hidden\\\";\\n}\",\n \"function displayEndScreen() {\\n //display image\\n image(imgEndScreen, 0, 0, windowWidth, windowWidth * 0.4);\\n //Set text size in push-pop\\n push();\\n textSize(19);\\n //If player hits zero kids, display this\\n if (player.sentence === 0) {\\n text(\\\"It took you only \\\" + player.timeSpent + \\\" hours and you did it \\\\nwithout bumping into children! \\\\nAmazing job, Hieronymous! Back to \\\\nloitering!\\\", 0 + windowWidth / 20, windowWidth / 5);\\n //If player hits less than three kids, display this\\n } else if (player.sentence < 107) {\\n text(\\\"It took you only \\\" + player.timeSpent + \\\" hours \\\\nand you only added \\\" + player.sentence + \\\" days \\\\n to your community service!\\\", 0 + windowWidth / 20, windowWidth / 5);\\n } else {\\n //otherwise, display this message\\n text(\\\"It took you \\\" + player.timeSpent + \\\" hours... \\\\n...but holy crap Hieronymous you added \\\" + player.sentence + \\\" days \\\\nto your community service. Embarrassing.\\\", 0 + windowWidth / 20, windowWidth / 5);\\n }\\n pop();\\n\\n}\",\n \"function dogdate2Page() {\\n image(date2, 0, 0, 800, 800);\\n //text\\n textSize(35);\\n fill(255, 0, 220);\\n text('you have a message from Chou Chou!', 550, 795);\\n //exit box\\n fill(180);\\n rect(780, 0, 20, 19);\\n line(780, 0, 800, 19);\\n line(800, 0, 780, 19);\\n if (mouseIsPressed && mouseX >= 780 && mouseX <= 800 && mouseY >= 0 && mouseY <= 19) {\\n corgi1_s -= chouchouP;\\n }\\n //mail icon\\n fill(250);\\n rect(750, 780, 50, 20);\\n line(750, 780, 775, 800);\\n line(800, 780, 775, 800);\\n if (mouseIsPressed && mouseX >= 750 && mouseX <= 800 && mouseY >= 780 && mouseY <= 800) {\\n corgi1_s += 20;\\n }\\n}\",\n \"function displayUser() {\\n imageMode(CENTER);\\n image(userMG.img, mouseX, mouseY, userMG.size, userMG.size);\\n}\",\n \"function clearMessage() {\\n $(\\\".chat-wrapper\\\").empty();\\n}\",\n \"function showMessage() {\\n showHide(chosenMessage, loader);\\n currentMessage = retrieveMessage();\\n chosenMessage.innerHTML = \\\"\\\";\\n chosenMessage.innerHTML += `${currentMessage}`;\\n show(clearMessage);\\n // show(favoriteButton);\\n}\",\n \"function clearMsgs() {\\n if(gameInfo.length != 0){\\n gameInfo = [];\\n }\\n}\",\n \"function removeFinishMessage() {\\n \\tfinish.style.display = 'none';\\n winMessage.appendChild(restartCopy);\\n \\twinMessage.appendChild(starsCopy);\\n \\twinMessage.appendChild(timeCopy);\\n \\twinMessage.appendChild(moveTrackerCopy);\\n}\",\n \"function displayToScreen() {\\n\\n\\n\\t}\",\n \"function clearScreen() {\\n getlocation.html(\\\"\\\");\\n locationStatus.html(\\\"\\\");\\n showTemp.html(\\\"\\\");\\n shortNews.html(\\\"\\\");\\n dataTable.hide();\\n $(\\\"#errorMessage\\\").hide();\\n content.hide();\\n loader.hide();\\n }\",\n \"function clearCanvas() {\\n\\t\\tcontext.clearRect(0, 0, context.canvas.width, context.canvas.height);\\n\\t\\tsmall_context.clearRect(0, 0, small_context.canvas.width, small_context.canvas.height);\\n\\t\\t$(\\\".msg\\\").remove();\\n\\t}\",\n \"function MessageDisplayWidget() {}\",\n \"function clearMessage() {\\r\\n\\t\\t// For some reason, unless we call hide(), messages that were faded out\\r\\n\\t\\t// on a previous tab will be visible when we switch to that tab.\\r\\n\\t\\t$messageArea.fadeOut(\\\"slow\\\", function () { \\r\\n\\t\\t\\t$(this).hide(); \\r\\n\\t\\t});\\r\\n\\t}\",\n \"function tryAgainPage() {\\n image(cat, octoX + 350, octoY - 300, 300, 300 * aspectRatio); // This calls the image at the defined\\n tryAgainMessage(octoX, octoY); // This calls the message function at the defined x, y position. \\n tryAgainButton(bubButX, bubButY); // This calls the button function at the defined x, y position. \\n}\",\n \"function clearScreen() {\\n\\tletterString = \\\"\\\";\\n\\t$(\\\"#lettersGuessed\\\").html(\\\"<h3>Guesses Remaining: \\\" + guessesRemaining + \\\"</h3>\\\");\\n\\t$(\\\"#lettersGuessed\\\").append(\\\"<div>Letters Guessed Already</div>\\\");\\n\\t$(\\\"#lettersString\\\").text(letterString);\\n}\",\n \"function rpsFrontend (humanImgChoise, computerImgChoise, message) {\\n var rspImgDatabase = {\\n 'rock': document.getElementById('rock').src,\\n 'paper': document.getElementById('paper').src,\\n 'scissors': document.getElementById('scissors').src\\n }\\n \\n //let remove all the images\\n document.getElementById('rock').remove();\\n document.getElementById('paper').remove();\\n document.getElementById('scissors').remove();\\n \\n var humanDiv = document.createElement('div');\\n var compDiv = document.createElement('div');\\n var msgDiv = document.createElement('div');\\n \\n humanDiv.innerHTML = \\\" <img src= '\\\" + rspImgDatabase[humanImgChoise] + \\\"' style='box-shadow: 0px 0px 25px rgba(0, 0, 0, 0.8)' >\\\"\\n \\n msgDiv.innerHTML = \\\" <h1 style='color: \\\" + message['color'] + \\\"; font-size: 30px; padding: 20px; '>\\\" + message['message'] + \\\"</h1>\\\"\\n \\n compDiv.innerHTML = \\\" <img src= '\\\" + rspImgDatabase[computerImgChoise] + \\\"' style='box-shadow: 0px 0px 25px rgba(0, 8, 255, 0.8)' >\\\"\\n \\n document.getElementById('flex-box-img-div').appendChild(humanDiv);\\n document.getElementById('flex-box-img-div').appendChild(msgDiv)\\n document.getElementById('flex-box-img-div').appendChild(compDiv)\\n \\n}\",\n \"function victoryScreen() {\\n winCounter++;\\n winCounterField.innerHTML = winCounter;\\n answerField.innerHTML = answer;\\n hintField.innerHTML = hint;\\n answerPic.setAttribute('src', `assets/img/${answer}.jpg`);\\n}\",\n \"function flashImage(){\\r\\ndocument.getElementById('flash').innerHTML=\\\"<img src='http://lorempixel.com/600/400/'>\\\"\\r\\n// 5000 = 5 secs\\r\\nsetTimeout(function() {document.getElementById('flash').innerHTML='';},3000);\\r\\n}\",\n \"function wrongAnswerScreen() {\\n console.log('wrongAnswerScreen');\\n $('#question').text(\\\"You Are Wrong!\\\");\\n $('#timer').empty();\\n $(\\\"#answer1\\\").empty();\\n $(\\\"#answer2\\\").empty();\\n $(\\\"#answer3\\\").empty();\\n $(\\\"#answer4\\\").empty();\\n $(\\\"#gif\\\").show();\\n startResponseScreen()\\n loser = true;\\n}\",\n \"display() {\\n\\t\\tif (this.playerImage){\\n\\t\\t\\timageMode(CENTER);\\n\\t\\t\\timage(this.playerImage,this.x, this.y, this.size, this.size);\\n\\t\\t} else {\\n\\t\\t\\tfill(this.col);\\n\\t\\t\\tellipse(this.x, this.y, this.size, this.size);\\n\\t\\t}\\n\\t}\",\n \"function hidepicture() {\\n $(\\\"#answerDiv\\\").append(\\\"<img src=\\\" + pick.photo + \\\">\\\");\\n newArray.push(pick);\\n triviaQuestions.splice(index, 1);\\n\\n // hides end of game content until needed\\n var hidepic = setTimeout(function () {\\n $(\\\"#answerDiv\\\").empty();\\n timer = 10;\\n\\n // show score tally after all questions have been asked\\n if ((wrongCount + rightCount + unansweredCount) === questionsCount) {\\n // removes question from div\\n $(\\\"#questionDiv\\\").empty();\\n // shows end of game text\\n $(\\\"#questionDiv\\\").html(\\\"<h2>Game Over!<br><small>Here's how you did: </small></h2>\\\");\\n $(\\\"#answerDiv\\\").append(\\\"<h4> Correct: \\\" + rightCount + \\\"</h4>\\\");\\n $(\\\"#answerDiv\\\").append(\\\"<h4> Incorrect: \\\" + wrongCount + \\\"</h4>\\\");\\n $(\\\"#answerDiv\\\").append(\\\"<h4> Unanswered: \\\" + unansweredCount + \\\"</h4>\\\");\\n $(\\\"#reset\\\").show();\\n rightCount = 0;\\n wrongCount = 0;\\n unansweredCount = 0;\\n\\n // if questions remain, run timer and ask remaining questions\\n } else {\\n runTimer();\\n showQuestion();\\n\\n }\\n // wait three seconds until next question\\n }, 3000);\\n }\",\n \"display() {\\n noStroke();\\n fill(0);\\n rect(this.frame.x,this.frame.y,1,1);\\n imageMode(CENTER);\\n image(girl_Img,this.frame.x+0.5,this.frame.y+0.5,2.25,2.75);\\n }\",\n \"function clearphoto() {\\n\\t var context = canvas.getContext('2d');\\n\\t context.fillStyle = \\\"#AAA\\\";\\n\\t context.fillRect(0, 0, canvas.width, canvas.height);\\n\\n\\t var data = canvas.toDataURL('image/png');\\n\\t photo.setAttribute('src', data);\\n\\t user_pic.setAttribute('src', data);\\n\\t }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.69447803","0.68114084","0.67741245","0.66152513","0.6483633","0.6464599","0.6451905","0.6437282","0.639263","0.63876086","0.6363084","0.6359913","0.6336804","0.63157374","0.6287178","0.62681925","0.6220877","0.6217493","0.6178756","0.6162305","0.61603755","0.6158888","0.61515194","0.6144166","0.6129879","0.61296296","0.61284596","0.61261743","0.61136377","0.61097574","0.6108047","0.6054198","0.604713","0.6044136","0.6038829","0.6035756","0.60348225","0.6025238","0.60041213","0.60022926","0.60008883","0.5994684","0.59913284","0.5990939","0.5990276","0.5985365","0.59771496","0.5969067","0.5966799","0.596579","0.59613425","0.595174","0.5947698","0.59452885","0.59346694","0.59336567","0.5930597","0.5920732","0.59199595","0.5915528","0.5911165","0.5909673","0.5909336","0.5907318","0.5903417","0.58927786","0.5888893","0.5884712","0.5881018","0.58795464","0.58747023","0.5874314","0.5872578","0.58705753","0.58702755","0.58692443","0.58664304","0.58610934","0.5857036","0.5855212","0.58485734","0.58425087","0.5840448","0.5836394","0.5836172","0.5834537","0.5832274","0.58310413","0.5828991","0.5827567","0.58216137","0.5817582","0.581343","0.58077854","0.58075315","0.580676","0.5804145","0.58021116","0.57996845","0.57953364","0.579489"],"string":"[\n \"0.69447803\",\n \"0.68114084\",\n \"0.67741245\",\n \"0.66152513\",\n \"0.6483633\",\n \"0.6464599\",\n \"0.6451905\",\n \"0.6437282\",\n \"0.639263\",\n \"0.63876086\",\n \"0.6363084\",\n \"0.6359913\",\n \"0.6336804\",\n \"0.63157374\",\n \"0.6287178\",\n \"0.62681925\",\n \"0.6220877\",\n \"0.6217493\",\n \"0.6178756\",\n \"0.6162305\",\n \"0.61603755\",\n \"0.6158888\",\n \"0.61515194\",\n \"0.6144166\",\n \"0.6129879\",\n \"0.61296296\",\n \"0.61284596\",\n \"0.61261743\",\n \"0.61136377\",\n \"0.61097574\",\n \"0.6108047\",\n \"0.6054198\",\n \"0.604713\",\n \"0.6044136\",\n \"0.6038829\",\n \"0.6035756\",\n \"0.60348225\",\n \"0.6025238\",\n \"0.60041213\",\n \"0.60022926\",\n \"0.60008883\",\n \"0.5994684\",\n \"0.59913284\",\n \"0.5990939\",\n \"0.5990276\",\n \"0.5985365\",\n \"0.59771496\",\n \"0.5969067\",\n \"0.5966799\",\n \"0.596579\",\n \"0.59613425\",\n \"0.595174\",\n \"0.5947698\",\n \"0.59452885\",\n \"0.59346694\",\n \"0.59336567\",\n \"0.5930597\",\n \"0.5920732\",\n \"0.59199595\",\n \"0.5915528\",\n \"0.5911165\",\n \"0.5909673\",\n \"0.5909336\",\n \"0.5907318\",\n \"0.5903417\",\n \"0.58927786\",\n \"0.5888893\",\n \"0.5884712\",\n \"0.5881018\",\n \"0.58795464\",\n \"0.58747023\",\n \"0.5874314\",\n \"0.5872578\",\n \"0.58705753\",\n \"0.58702755\",\n \"0.58692443\",\n \"0.58664304\",\n \"0.58610934\",\n \"0.5857036\",\n \"0.5855212\",\n \"0.58485734\",\n \"0.58425087\",\n \"0.5840448\",\n \"0.5836394\",\n \"0.5836172\",\n \"0.5834537\",\n \"0.5832274\",\n \"0.58310413\",\n \"0.5828991\",\n \"0.5827567\",\n \"0.58216137\",\n \"0.5817582\",\n \"0.581343\",\n \"0.58077854\",\n \"0.58075315\",\n \"0.580676\",\n \"0.5804145\",\n \"0.58021116\",\n \"0.57996845\",\n \"0.57953364\",\n \"0.579489\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":190,"cells":{"query":{"kind":"string","value":"possible reset button implementation"},"document":{"kind":"string","value":"function reset() {\n location.reload();\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function resetButtonPressed() {\n reset();\n}","function pressReset(){\n events.emit('resetBtn', true);\n }","function reset(e){\n \n}","_reset() {\r\n\t\tthis._pressed = false;\r\n\t}","function resetButton() {\n\tvar r = getProgress();\n\tsetProgress(r = 0);\n}","function reset() {\n reset_butt.click();\n}","function reset() { }","handleReset() {\n\n }","function resetBtnFunctionality () {\n\tresetButton.addEventListener(\"click\", function() {\n\t\treset();\n\t});\n}","function reset() {\n\n }","Reset() {\n\n }","function resetButton(){\r\n populate();\r\n}","function reset() {\n generateButtons(currentCategory);\n}","function buttonResetClicked()\n{\n resetFruitTally();\n resetAll();\n //init();\n}","function reset_btn(){\n $(\"#access-result #quick_add\").text(\"Quick Add\").show();\n \t $(\"#access-result #quick_edit\").text(\"Quick Edit\").show();\n \t $(\"#access-result #cancel\").hide();\n \t $(\"#access-result #access_table\").removeClass(\"locked\");\n }","resetButton(button) \n {\n button.body.hit = false;\n button.pressed = false;\n }","function doReset() {\n $(\"*[id^='fragment_']\").css(\"background-color\", \"transparent\");\n $(\"*[id^='fragment_']\").hide();\n $('#explanation').html('');\n $(\".prev_btn\").css('visibility', 'hidden');\n $(\".next_btn\").css('visibility', 'visible');\n $(\"#btn_reset\").css('visibility', 'hidden');\n $(\"#forward_button_label\").text('Start');\n $(\"#forward_button_label\").css('cursor', 'pointer');\n $(\"#forward_button_label\").css('color', 'red');\n $(\"#forward_button_label\").css('font-size', '24px');\n $(\"#next_arrow\").hide();\n currentStep = 0;\n}","setResetButton(){\n\t\tdocument.getElementsByClassName('acceptButton')[0].value = \"reset\";\n\t\tfadeIn(\"acceptButton\");\n\t}","function resetButton(){\n $(\".fa-redo-alt\").click(function(){\n document.location.reload(true);\n })\n $(\"#replay\").click(function(){\n document.location.reload(true);\n })\n }","Reset() {}","function actionOnResetClick () {\n gameRestart();\n }","Reset () {\n this.reset = true\n }","function resetButton()\n{\n background(255, 0, 0);\n button = createButton('Reset!');\n button.size(100,34);\n button.style(\"font-size\", \"25px\");\n button.position((w2 + 720), (h2 + 400));\n button.mousePressed(reset);\n}","function myResetButton(){\n\t\t\t\n\t\t\n\t\t\tvar resetb = document.createElement(\"BUTTON\");\n\t\t\tvar resetText = document.createTextNode(\"RESET\");\n\t\t\tresetb.setAttribute(\"id\",\"resetg\");\n\t\t\t\n\t\t\tresetb.appendChild(resetText);\n\t\t\t\n\t\t\t$(element).find(\"#hello\").get(0).appendChild(resetb);\n\t\t\t$(\"#resetg\").click(function(eventObject){\n\t\t\t\t\n\t\t\t\treset();\n\t\t\t\t\n\t\t\t});\n\t\t\n\t\t}","function reset()\n\t{\n\t\tsetValue('')\n\t}","function resetButton() {\n\t$('#textboxAbsolute').val(\"excluded\");\n\t$('#textboxAbsolute').css(\"background-color\", \"#FFFFFF\");\n\t$('#expressionLevelSlider').val(0);\n\t\n\t// get name of tissue we're adjusting\n\tvar tissue = $('#setLevel-tissueName').text()\n\t\n\t// figure out which index number that corresponds to in allTissues\n\tvar index = findIndexByKeyValue(allTissues, 'tissue', tissue);\n\t\n\t// reset the value and color in allTissues to null\n\tallTissues[index].value = \"excluded\";\n\tallTissues[index].color = \"#FFFFFF\";\n\t\n\t// update the color on the svg shape \n\tchangeFillColor(tissue, \"#FFFFFF\");\n\tsaveExpressionLevel();\n\tcloseCurrentTooltip();\n}","function resetClicked(evt){\n\t//hide the modal\n modalHide();\t\n\t//reset the cards\n resetCards();\n\t//reset the turn counter\n resetCounter();\n //reset the card list\n cardList = [];\n\t//reset the timer\n resetTimer();\n //reset stars\n resetStars();\n //shuffle the deck\n shuffleCards();\n}","function click(){\ndocument.getElementById(\"reset\").reset();}","function reset()\n{\n\tneedsReset = 1;\n\t\n\t/*\n\tpost(\"Setting needsReset\");\n\tpost();\n\t*/\n}","function resetButton() {\n d3.select(\"div.reset\")\n .append(\"li\")\n .text(\"Reset\")\n .on('click', function() {\n resetSelection();\n state.highlight = [];\n state.green = false;\n state.red = false;\n checkFiltered();\n updateReset();\n });\n }","function myResetFunction() {\n document.getElementById(\"#reset-btn\").reset();\n }","function setupResetBut(){\r\n resetButton.addEventListener(\"click\",setColors)\r\n }","reset() {\r\n this.currentState = this.initial;\r\n }","function ClickBtnReset() {\n $('#ppZapisnikKreatoriCmb').quiComboBox('clearSelection');\n $('#ppZapisnikDatum').quiDate('setDate', new Date());\n $('#ppZapisnikOrganiCmb').quiComboBox('clearSelection');\n\n $('#ppZapisnikNemaRez').hide();\n\n $('#ppZapisnikSlickGrid').empty();\n $('#ppZapisnikSlickGridPager').empty();\n\n columnFilters = {};\n grid = undefined;\n }","function resetButtons() {\n $(\".letter\").css({\"pointer-events\": \"auto\", \"background-color\": \"#666600\"});\n /*\n $(\".letter\").removeClass(\"used\");\n $(\".letter\").removeClass(\"success fail\", 500);\n */\n $(\"#btn1\").removeClass(\"highlight\", 500);\n }","function reactionReset () {\n setButton2State(0); // Zustand des Schaltknopfs Start/Pause/Weiter\n enableInput(true); // Eingabefelder aktivieren\n stopAnimation(); // Animation stoppen\n t = 0; // Zeitvariable zurücksetzen\n on = false; // Animation abgeschaltet\n reaction(); // Eingegebene Werte übernehmen und rechnen\n paint(); // Neu zeichnen\n }","function resetState() {\n while (answerButtonsElement.firstChild) {\n answerButtonsElement.removeChild(answerButtonsElement.firstChild);\n }\n }","function resetPressed(){\r\n //sets the background to grey\r\n background(80);\r\n//resets the height variable used when drawing\r\n y = 0;\r\n//removes the buttons, and redraws them using the function drawButtons\r\n removeElements();\r\n drawButtons();\r\n//resets the listState\r\n listState = 0;\r\n }","function reactionReset () {\n setButton2State(0); // Zustand des Schaltknopfs Start/Pause/Weiter\n enableInput(true); // Eingabefelder aktivieren\n t = 0; // Zeitvariable zurücksetzen\n on = false; // Animation abgeschaltet\n slow = cbSlow.checked; // Flag für Zeitlupe\n reaction(true); // Eingegebene Werte übernehmen, rechnen, Ausgabe aktualisieren\n }","function reset(){\n\t\t\tnumber1 = Number.MAX_SAFE_INTEGER;\n\t\t\tnumber2 = Number.MAX_SAFE_INTEGER;\n\t\t\topcode=\"\";\n\t\t\tlastPressed=\"\";\n\t\t}","function contactameBtn()\n{\n\tdocument.btncontacto.reset();\n}","function reset() {\n\t setState(null);\n\t} // in case of reload","reset() {\n this.isActive = false;\n this.isLoading = false;\n this.$button.show();\n }","function reset_btn(btn, ele) {\n btn.tooltip('hide');\n btn.prop('disabled', false);\n\n func.apply(this, args);\n }","function reset() {\n for (var i = 0; i < 4; i++) {\n\t\t setColor('button' + eval(i + 311),vm.Mode,'Middle', 0, i, 0, 1);\n for (var j = 0; j < 4; j++) {\n setColor('button' + eval(i * 10 + j + 111),vm.Mode,'Left', i, j, 0, 1);\n\t\t setColor('button' + eval(i * 10 + j + 211),vm.Mode,'Right', i, j, 0, 1);\n }\n }\n var property = document.getElementById('buttonBuild');\n property.style.backgroundColor = \"#ffffff\";\n }","function reset(input) {\n // YOUR SOLUTION HERE\n}","function reset() {\n // noop\n }","function resetear() {\n eliminarIntegrantesAnteriores();\n ocultarbotonCalculo();\n ocultarIntegrantes();\n ocultarTextoResultado();\n vaciarValorInput();\n}","function resetHotkeyBtn(){\r\n\t\t\t\tchangeHotkeyBtn.html(\"Change hotkey\")\r\n\t\t\t\t\t.disabled = false;\r\n\t\t\t}","_reset()\n {\n this.stopped = false;\n this.currentTarget = null;\n this.target = null;\n }","function resetClick() {\n questionIndex = 0;\n incorrect = 0;\n correct = 0;\n renderQuestion();\n}","function reset() {\r\n // noop\r\n }","function Calculator_Reset() {\n Calculator.Display_Value = '0';\n Calculator.First_Operand = null;\n Calculator.Wait_Second_Operand = false;\n Calculator.operator = null;\n}","reset(){\n this.enable();\n this.init();\n this.buildAll();\n }","function resetPressed() {\n\n // go back to the \"graph loaded\" status\n hdxAV.setStatus(hdxStates.GRAPH_LOADED);\n\n hdxAV.startPause.innerHTML = \"Start\";\n\n // show waypoints, show connections\n initWaypointsAndConnections(true, true,\n visualSettings.undiscovered);\n\n hideTopControlPanel();\n hdxAVCP.cleanup();\n algorithmSelectionChanged();\n //hideAVStatusPanel();\n showAlgorithmSelectionPanel();\n document.getElementById(\"pscode\").style.display = \"none\";\n deleteCBPSelector();\n newMapTileSelected();\n}","reset() {\n show(cacheDOM.setButton);\n hide(cacheDOM.setDisplay, cacheDOM.snoozeButton, cacheDOM.stopButton);\n this.alarm.hours = 0;\n this.alarm.minutes = 0;\n this.alarm.isSet = false;\n }","function reset(){\r\n winnerRound.id = \"score-descr\";\r\n winnerRound.textContent = \"start playing\";\r\n score.textContent = \"0 : 0\";\r\n playerPoints = 0;\r\n computerPoints = 0;\r\n buttons.forEach(btn => btn.disabled = false);\r\n resetBtn.textContent = \"RESET\";\r\n}","function resetButtons() {\r\n document.querySelector(\"#right-answer\").style.border = \"0\";\r\n document.querySelector(\"#left-answer\").style.border = \"0\";\r\n document.querySelector(\"#scenario-submit\").style.opacity = \"0.5\";\r\n document.querySelector(\"#scenario-submit\").style.pointerEvents = \"none\";\r\n}","function onReset() {\n clear();\n}","function resetButtonClicked()\n{\n document.getElementById('batteryLight').style.backgroundColor = \"rgb(165, 164, 164)\";\n powerState = 0;\n document.getElementById('screenTextTop').textContent = \"\";\n document.getElementById('screenTextBottom').textContent = \"\";\n batteryLife = 0;\n number1 = \"\";\n number2 = \"\";\n number3 = 0;\n operatorClicked = false;\n console.log(\"calculator reset\");\n}","reset() {\r\n this.prevState=this.currentState;\r\n this.currentState = this.config.initial;\r\n }","function resetUndoButtons () {\n\t\tdocument.getElementById(\"undoButton\").disabled = true;\n\t\tdocument.getElementById(\"redoButton\").disabled = true;\n\t\tundoStack = [];\n\t\tredoStack = [];\n\t}","function reset() {\n calculatorData.isAtSecondValue = false;\n calculatorData.displayValue = '';\n calculatorData.result = '';\n calculatorData.isValueDecimal = false;\n updateDisplay();\n}","reset() {\n this.setIrqMask(0);\n this.setNmiMask(0);\n this.resetCassette();\n this.keyboard.clearKeyboard();\n this.setTimerInterrupt(false);\n this.z80.reset();\n }","function reset () {\n\t\tfillZero(xs,9);\n\t\tfillZero(os,9);\n\t\tremoveSelected(circles);\n\t\tcurrent = null;\n\t\tcounter = null;\n\t\twin = false;\n\t\tdisplay.textContent = \"tic tac toe\";\n\t}","addResetButton() {\n this.interface.gui.add(this.gameOrchestrator, 'reset').name('Restart Game');\n }","function resetState() {\n\tclearStatusClass(document.body);\n\tnextButton.classList.add(\"hide\");\n\t//if there is a child inside the answer buttons we remove it\n\twhile (answerButtonsElement.firstChild) {\n\t\tanswerButtonsElement.removeChild(answerButtonsElement.firstChild);\n\t}\n}","reset() {\r\n this.currentState = this.config.initial;\r\n }","function resetBtns() {\r\n answer_1.style.backgroundColor = \"transparent\";\r\n answer_1.disabled = false; \r\n answer_2.style.backgroundColor = \"transparent\";\r\n answer_2.disabled = false;\r\n answer_3.style.backgroundColor = \"transparent\";\r\n answer_3.disabled = false;\r\n answer_4.style.backgroundColor = \"transparent\";\r\n answer_4.disabled = false;\r\n}","reset() {\n // do nothing\n }","_reset() {\n const that = this;\n\n if (this.element.value) {\n // This discombulated line is to help the i18next parser pick up all 3 keys.\n const item =\n this.props.type === 'signature'\n ? t('drawwidget.signature')\n : this.props.type === 'drawing'\n ? t('drawwidget.drawing')\n : t('drawwidget.annotation');\n dialog\n .confirm(t('filepicker.resetWarning', { item }))\n .then((confirmed) => {\n if (!confirmed) {\n return;\n }\n that.pad.clear();\n that.cache = null;\n // Only upon reset is loadedFileName removed, so that \"undo\" will work\n // for drawings loaded from storage.\n delete that.element.dataset.loadedFileName;\n delete that.element.dataset.loadedUrl;\n that.element.dataset.filenamePostfix = '';\n $(that.element).val('').trigger('change');\n // Annotate file input\n that.$widget\n .find('input[type=file]')\n .val('')\n .trigger('change');\n that._updateDownloadLink('');\n that.disable();\n that.enable();\n });\n }\n }","function resetBtnClicked() {\n if (confirm('คุณต้องการ ลบ / RESET ข้อมูลกิจกรรม Fit4Run ทั้งหมด ใช่ หรือ ไม่ ?')) {\n // Save it!\n return resetConfirmed();\n } else {\n // Do nothing!\n }\n }","function reset() {\n self.taskActionList([]);\n self.selectedTasklist([]);\n self.isTaskSelected(false);\n self.actionName('');\n self.actionComments('');\n self.showConfirmation('none');\n }","reset(){\n\t\tif(model.autoRunTimerId !== -1){\n\t\t\tclearInterval(model.autoRunTimerId) // stop autorun timer if it is started\n\t\t\t//document.getElementById('autoRunBtn').innerHTML='Autorun';\n\t\t}\n\n\t\t$(\"#infoBitNum\").prop('disabled', false);\n\t\t$(\"#parityBitNum\").prop('disabled', false);\n\t\t$(\"#cwBitNum\").prop('disabled', false);\n\t\t$(\"#errDetectNum\").prop('disabled', false);\n\t\t$(\"#selGenPolyBtn\").prop('disabled', false);\n\n\t\tthis.algorithm.reset();\n\t\tthis.stat.reset();\n\t\tthis.stat.remove();\n\t\tthis.layer.getStage().clear();\n\t\tthis.layer.destroy();\n\t\ttry{\n\t\t\t$(\".ui-dialog-content\").dialog(\"close\");\n\t\t} catch(e) {console.log(e)}\n\t}","function pfClickedReset(mode){\n\tvar keyList = connectList(mode);\n\tvar targetArray = connectArray(mode);\n\tfor(x in targetArray){\n\t\ttargetArray[x].isRedacted = false;\n\t}\n\twhile(keyList.length > 0){\n\t\tkeyList.pop();\n\t}\n\tsetCookie();\n\tspawnPF(mode, 0);\n}","_bindResetButton(settingsKey) {\n const resetButton = this._builder.get_object('reset-' + settingsKey);\n if (resetButton) {\n resetButton.connect('clicked', () => {\n this._settings.reset(settingsKey);\n if (this._settings.settings_schema.has_key(settingsKey + '-hover')) {\n this._settings.reset(settingsKey + '-hover');\n }\n });\n }\n }","function reset_button_handler(){\n $('button[type=\"reset\"]').click(function(){\n modal_check_box.attr('checked',false); // unchecks modal checkbox\n shareble_url = window.location.origin+window.location.pathname+\"?urls=\"; // sets shareble_url back to it's default value;\n $('#share_url').val(shareble_url); // puts sharable url text inside modal\n $('#links div a').remove() // removes all the links from the bottom\n $('#links, #links + .row').addClass('collapse') // collapses footer\n })\n }","function handleReset(click) {\n turnCount = 0;\n init();\n}","_reset() {\n\t const that = this;\n\n\t if (this.element.value) {\n\t // This discombobulated line is to help the i18next parser pick up all 3 keys.\n\t const item =\n\t this.props.type === 'signature'\n\t ? t('drawwidget.signature')\n\t : this.props.type === 'drawing'\n\t ? t('drawwidget.drawing')\n\t : t('drawwidget.annotation');\n\t dialog\n\t .confirm(t('filepicker.resetWarning', { item }))\n\t .then((confirmed) => {\n\t if (!confirmed) {\n\t return;\n\t }\n\t that.pad.reset();\n\t that.cache = null;\n\t // Only upon reset is loadedFileName removed, so that \"undo\" will work\n\t // for drawings loaded from storage.\n\t delete that.element.dataset.loadedFileName;\n\t delete that.element.dataset.loadedUrl;\n\t that.element.dataset.filenamePostfix = '';\n\t jquery(that.element).val('').trigger('change');\n\n\t // Annotate file input\n\t that.$widget\n\t .find('input[type=file]')\n\t .val('')\n\t .trigger('change');\n\t that._updateDownloadLink('');\n\t that.disable();\n\t that.enable();\n\t });\n\t }\n\t }","_resetHandler() {\n const that = this;\n if (that.resetButton) {\n that.resetButton.remove();\n }\n that.appearanceTextBox.value = that.appearanceTextBox.dataset.defaultValue;\n that.appearanceTextBox.addEventListener('keydown', () => that._showResetButton(), { 'once': true });\n }","function resetState() {\n clearStatusClass(document.body)\n while (answerButtonsElement.firstChild) {\n answerButtonsElement.removeChild(answerButtonsElement.firstChild)\n }\n}","reset({ text = 'Zurücksetzen', buttonClass = 'game-field-reset-btn' }) {\n const button = document.createElement('button');\n button.className = buttonClass;\n button.appendChild(document.createTextNode(text));\n document.querySelector(this.target).appendChild(button);\n }","function reset() {\n resetFunc();\n }","function reset () {\n setCurrentlyClicking(false);\n setCounter(1);\n clearInterval(currentInterval);\n setCurrentInterval(\"\");\n setClickingFast(false);\n setColors(initialColors);\n }","reset() {\n\n }","function reset() {\n spin3();\n ask.innerHTML = ' ';\n input.style.display = 'block';\n input.value = '';\n button.style.display = 'block';\n start.src = './img/start.png';\n button2.style.display = 'none';\n}","function resetBtn() {\n if (isPlayerWon || isComputerWon) {\n guessBtn.innerHTML = 'RESET';\n playerGuess.setAttribute('disabled', 'disabled');\n } else {\n guessBtn.innerHTML = 'GUESS';\n guessBtn.setAttribute('disabled', 'disabled');\n playerGuess.removeAttribute('disabled');\n }\n}","reset() {\r\n this.state = this.initial;\r\n }","resetOnNextInput() {\n this._reset = true;\n }","reset() {\n this.unbind();\n }","@action.bound reset() {\n \n }","function resetButton() {\n $('#reset').click(function() {\n startGame(gameSpaces);\n })\n}","reset() {\n this.interacted = false;\n if (this._completedOverride != null) {\n this._completedOverride = false;\n }\n if (this._customError != null) {\n this._customError = false;\n }\n if (this.stepControl) {\n this.stepControl.reset();\n }\n }","function handleReset() {\n setBlur((blur = 0));\n setBrightness((brightness = 100));\n setContrast((contrast = 100));\n setGrayscale((grayscale = 0));\n setHue((hue = 0));\n setInvert((invert = 0));\n setOpacity((opacity = 100));\n setSaturate((saturate = 100));\n setSepia((sepia = 0));\n }","function resetState() {\n clearStatusClass(document.body);\n nextButton.classList.add('hide');\n while (answerButtonsElement.firstChild) {\n answerButtonsElement.removeChild(answerButtonsElement.firstChild);\n }\n \n}","function buttonReset() {\n image(imgReset, 350, 550);\n}","function reset() {\n indexClicked = 0;\n trackClicked = 0;\n}","function resetState(){\n clearStatusClass(document.body)\n nextButton.classList.add(\"hide\");\n while(answerButtonElement.firstChild){\n answerButtonElement.removeChild\n (answerButtonElement.firstChild)\n }\n}","function resetcontainer(){\n answerbuttons.innerHTML = '';\n}","function reset(data) {\r\n\t var btn = data.btn = data.form.find(':input[type=\"submit\"]');\r\n\t data.wait = data.btn.attr('data-wait') || null;\r\n\t data.success = false;\r\n\t btn.prop('disabled', false);\r\n\t data.label && btn.val(data.label);\r\n\t }","handleResetClick(event){\n this.value = '';\n this.tableData = [];\n const evtCustomEvent = new CustomEvent('reset');\n this.dispatchEvent(evtCustomEvent);\n }"],"string":"[\n \"function resetButtonPressed() {\\n reset();\\n}\",\n \"function pressReset(){\\n events.emit('resetBtn', true);\\n }\",\n \"function reset(e){\\n \\n}\",\n \"_reset() {\\r\\n\\t\\tthis._pressed = false;\\r\\n\\t}\",\n \"function resetButton() {\\n\\tvar r = getProgress();\\n\\tsetProgress(r = 0);\\n}\",\n \"function reset() {\\n reset_butt.click();\\n}\",\n \"function reset() { }\",\n \"handleReset() {\\n\\n }\",\n \"function resetBtnFunctionality () {\\n\\tresetButton.addEventListener(\\\"click\\\", function() {\\n\\t\\treset();\\n\\t});\\n}\",\n \"function reset() {\\n\\n }\",\n \"Reset() {\\n\\n }\",\n \"function resetButton(){\\r\\n populate();\\r\\n}\",\n \"function reset() {\\n generateButtons(currentCategory);\\n}\",\n \"function buttonResetClicked()\\n{\\n resetFruitTally();\\n resetAll();\\n //init();\\n}\",\n \"function reset_btn(){\\n $(\\\"#access-result #quick_add\\\").text(\\\"Quick Add\\\").show();\\n \\t $(\\\"#access-result #quick_edit\\\").text(\\\"Quick Edit\\\").show();\\n \\t $(\\\"#access-result #cancel\\\").hide();\\n \\t $(\\\"#access-result #access_table\\\").removeClass(\\\"locked\\\");\\n }\",\n \"resetButton(button) \\n {\\n button.body.hit = false;\\n button.pressed = false;\\n }\",\n \"function doReset() {\\n $(\\\"*[id^='fragment_']\\\").css(\\\"background-color\\\", \\\"transparent\\\");\\n $(\\\"*[id^='fragment_']\\\").hide();\\n $('#explanation').html('');\\n $(\\\".prev_btn\\\").css('visibility', 'hidden');\\n $(\\\".next_btn\\\").css('visibility', 'visible');\\n $(\\\"#btn_reset\\\").css('visibility', 'hidden');\\n $(\\\"#forward_button_label\\\").text('Start');\\n $(\\\"#forward_button_label\\\").css('cursor', 'pointer');\\n $(\\\"#forward_button_label\\\").css('color', 'red');\\n $(\\\"#forward_button_label\\\").css('font-size', '24px');\\n $(\\\"#next_arrow\\\").hide();\\n currentStep = 0;\\n}\",\n \"setResetButton(){\\n\\t\\tdocument.getElementsByClassName('acceptButton')[0].value = \\\"reset\\\";\\n\\t\\tfadeIn(\\\"acceptButton\\\");\\n\\t}\",\n \"function resetButton(){\\n $(\\\".fa-redo-alt\\\").click(function(){\\n document.location.reload(true);\\n })\\n $(\\\"#replay\\\").click(function(){\\n document.location.reload(true);\\n })\\n }\",\n \"Reset() {}\",\n \"function actionOnResetClick () {\\n gameRestart();\\n }\",\n \"Reset () {\\n this.reset = true\\n }\",\n \"function resetButton()\\n{\\n background(255, 0, 0);\\n button = createButton('Reset!');\\n button.size(100,34);\\n button.style(\\\"font-size\\\", \\\"25px\\\");\\n button.position((w2 + 720), (h2 + 400));\\n button.mousePressed(reset);\\n}\",\n \"function myResetButton(){\\n\\t\\t\\t\\n\\t\\t\\n\\t\\t\\tvar resetb = document.createElement(\\\"BUTTON\\\");\\n\\t\\t\\tvar resetText = document.createTextNode(\\\"RESET\\\");\\n\\t\\t\\tresetb.setAttribute(\\\"id\\\",\\\"resetg\\\");\\n\\t\\t\\t\\n\\t\\t\\tresetb.appendChild(resetText);\\n\\t\\t\\t\\n\\t\\t\\t$(element).find(\\\"#hello\\\").get(0).appendChild(resetb);\\n\\t\\t\\t$(\\\"#resetg\\\").click(function(eventObject){\\n\\t\\t\\t\\t\\n\\t\\t\\t\\treset();\\n\\t\\t\\t\\t\\n\\t\\t\\t});\\n\\t\\t\\n\\t\\t}\",\n \"function reset()\\n\\t{\\n\\t\\tsetValue('')\\n\\t}\",\n \"function resetButton() {\\n\\t$('#textboxAbsolute').val(\\\"excluded\\\");\\n\\t$('#textboxAbsolute').css(\\\"background-color\\\", \\\"#FFFFFF\\\");\\n\\t$('#expressionLevelSlider').val(0);\\n\\t\\n\\t// get name of tissue we're adjusting\\n\\tvar tissue = $('#setLevel-tissueName').text()\\n\\t\\n\\t// figure out which index number that corresponds to in allTissues\\n\\tvar index = findIndexByKeyValue(allTissues, 'tissue', tissue);\\n\\t\\n\\t// reset the value and color in allTissues to null\\n\\tallTissues[index].value = \\\"excluded\\\";\\n\\tallTissues[index].color = \\\"#FFFFFF\\\";\\n\\t\\n\\t// update the color on the svg shape \\n\\tchangeFillColor(tissue, \\\"#FFFFFF\\\");\\n\\tsaveExpressionLevel();\\n\\tcloseCurrentTooltip();\\n}\",\n \"function resetClicked(evt){\\n\\t//hide the modal\\n modalHide();\\t\\n\\t//reset the cards\\n resetCards();\\n\\t//reset the turn counter\\n resetCounter();\\n //reset the card list\\n cardList = [];\\n\\t//reset the timer\\n resetTimer();\\n //reset stars\\n resetStars();\\n //shuffle the deck\\n shuffleCards();\\n}\",\n \"function click(){\\ndocument.getElementById(\\\"reset\\\").reset();}\",\n \"function reset()\\n{\\n\\tneedsReset = 1;\\n\\t\\n\\t/*\\n\\tpost(\\\"Setting needsReset\\\");\\n\\tpost();\\n\\t*/\\n}\",\n \"function resetButton() {\\n d3.select(\\\"div.reset\\\")\\n .append(\\\"li\\\")\\n .text(\\\"Reset\\\")\\n .on('click', function() {\\n resetSelection();\\n state.highlight = [];\\n state.green = false;\\n state.red = false;\\n checkFiltered();\\n updateReset();\\n });\\n }\",\n \"function myResetFunction() {\\n document.getElementById(\\\"#reset-btn\\\").reset();\\n }\",\n \"function setupResetBut(){\\r\\n resetButton.addEventListener(\\\"click\\\",setColors)\\r\\n }\",\n \"reset() {\\r\\n this.currentState = this.initial;\\r\\n }\",\n \"function ClickBtnReset() {\\n $('#ppZapisnikKreatoriCmb').quiComboBox('clearSelection');\\n $('#ppZapisnikDatum').quiDate('setDate', new Date());\\n $('#ppZapisnikOrganiCmb').quiComboBox('clearSelection');\\n\\n $('#ppZapisnikNemaRez').hide();\\n\\n $('#ppZapisnikSlickGrid').empty();\\n $('#ppZapisnikSlickGridPager').empty();\\n\\n columnFilters = {};\\n grid = undefined;\\n }\",\n \"function resetButtons() {\\n $(\\\".letter\\\").css({\\\"pointer-events\\\": \\\"auto\\\", \\\"background-color\\\": \\\"#666600\\\"});\\n /*\\n $(\\\".letter\\\").removeClass(\\\"used\\\");\\n $(\\\".letter\\\").removeClass(\\\"success fail\\\", 500);\\n */\\n $(\\\"#btn1\\\").removeClass(\\\"highlight\\\", 500);\\n }\",\n \"function reactionReset () {\\n setButton2State(0); // Zustand des Schaltknopfs Start/Pause/Weiter\\n enableInput(true); // Eingabefelder aktivieren\\n stopAnimation(); // Animation stoppen\\n t = 0; // Zeitvariable zurücksetzen\\n on = false; // Animation abgeschaltet\\n reaction(); // Eingegebene Werte übernehmen und rechnen\\n paint(); // Neu zeichnen\\n }\",\n \"function resetState() {\\n while (answerButtonsElement.firstChild) {\\n answerButtonsElement.removeChild(answerButtonsElement.firstChild);\\n }\\n }\",\n \"function resetPressed(){\\r\\n //sets the background to grey\\r\\n background(80);\\r\\n//resets the height variable used when drawing\\r\\n y = 0;\\r\\n//removes the buttons, and redraws them using the function drawButtons\\r\\n removeElements();\\r\\n drawButtons();\\r\\n//resets the listState\\r\\n listState = 0;\\r\\n }\",\n \"function reactionReset () {\\n setButton2State(0); // Zustand des Schaltknopfs Start/Pause/Weiter\\n enableInput(true); // Eingabefelder aktivieren\\n t = 0; // Zeitvariable zurücksetzen\\n on = false; // Animation abgeschaltet\\n slow = cbSlow.checked; // Flag für Zeitlupe\\n reaction(true); // Eingegebene Werte übernehmen, rechnen, Ausgabe aktualisieren\\n }\",\n \"function reset(){\\n\\t\\t\\tnumber1 = Number.MAX_SAFE_INTEGER;\\n\\t\\t\\tnumber2 = Number.MAX_SAFE_INTEGER;\\n\\t\\t\\topcode=\\\"\\\";\\n\\t\\t\\tlastPressed=\\\"\\\";\\n\\t\\t}\",\n \"function contactameBtn()\\n{\\n\\tdocument.btncontacto.reset();\\n}\",\n \"function reset() {\\n\\t setState(null);\\n\\t} // in case of reload\",\n \"reset() {\\n this.isActive = false;\\n this.isLoading = false;\\n this.$button.show();\\n }\",\n \"function reset_btn(btn, ele) {\\n btn.tooltip('hide');\\n btn.prop('disabled', false);\\n\\n func.apply(this, args);\\n }\",\n \"function reset() {\\n for (var i = 0; i < 4; i++) {\\n\\t\\t setColor('button' + eval(i + 311),vm.Mode,'Middle', 0, i, 0, 1);\\n for (var j = 0; j < 4; j++) {\\n setColor('button' + eval(i * 10 + j + 111),vm.Mode,'Left', i, j, 0, 1);\\n\\t\\t setColor('button' + eval(i * 10 + j + 211),vm.Mode,'Right', i, j, 0, 1);\\n }\\n }\\n var property = document.getElementById('buttonBuild');\\n property.style.backgroundColor = \\\"#ffffff\\\";\\n }\",\n \"function reset(input) {\\n // YOUR SOLUTION HERE\\n}\",\n \"function reset() {\\n // noop\\n }\",\n \"function resetear() {\\n eliminarIntegrantesAnteriores();\\n ocultarbotonCalculo();\\n ocultarIntegrantes();\\n ocultarTextoResultado();\\n vaciarValorInput();\\n}\",\n \"function resetHotkeyBtn(){\\r\\n\\t\\t\\t\\tchangeHotkeyBtn.html(\\\"Change hotkey\\\")\\r\\n\\t\\t\\t\\t\\t.disabled = false;\\r\\n\\t\\t\\t}\",\n \"_reset()\\n {\\n this.stopped = false;\\n this.currentTarget = null;\\n this.target = null;\\n }\",\n \"function resetClick() {\\n questionIndex = 0;\\n incorrect = 0;\\n correct = 0;\\n renderQuestion();\\n}\",\n \"function reset() {\\r\\n // noop\\r\\n }\",\n \"function Calculator_Reset() {\\n Calculator.Display_Value = '0';\\n Calculator.First_Operand = null;\\n Calculator.Wait_Second_Operand = false;\\n Calculator.operator = null;\\n}\",\n \"reset(){\\n this.enable();\\n this.init();\\n this.buildAll();\\n }\",\n \"function resetPressed() {\\n\\n // go back to the \\\"graph loaded\\\" status\\n hdxAV.setStatus(hdxStates.GRAPH_LOADED);\\n\\n hdxAV.startPause.innerHTML = \\\"Start\\\";\\n\\n // show waypoints, show connections\\n initWaypointsAndConnections(true, true,\\n visualSettings.undiscovered);\\n\\n hideTopControlPanel();\\n hdxAVCP.cleanup();\\n algorithmSelectionChanged();\\n //hideAVStatusPanel();\\n showAlgorithmSelectionPanel();\\n document.getElementById(\\\"pscode\\\").style.display = \\\"none\\\";\\n deleteCBPSelector();\\n newMapTileSelected();\\n}\",\n \"reset() {\\n show(cacheDOM.setButton);\\n hide(cacheDOM.setDisplay, cacheDOM.snoozeButton, cacheDOM.stopButton);\\n this.alarm.hours = 0;\\n this.alarm.minutes = 0;\\n this.alarm.isSet = false;\\n }\",\n \"function reset(){\\r\\n winnerRound.id = \\\"score-descr\\\";\\r\\n winnerRound.textContent = \\\"start playing\\\";\\r\\n score.textContent = \\\"0 : 0\\\";\\r\\n playerPoints = 0;\\r\\n computerPoints = 0;\\r\\n buttons.forEach(btn => btn.disabled = false);\\r\\n resetBtn.textContent = \\\"RESET\\\";\\r\\n}\",\n \"function resetButtons() {\\r\\n document.querySelector(\\\"#right-answer\\\").style.border = \\\"0\\\";\\r\\n document.querySelector(\\\"#left-answer\\\").style.border = \\\"0\\\";\\r\\n document.querySelector(\\\"#scenario-submit\\\").style.opacity = \\\"0.5\\\";\\r\\n document.querySelector(\\\"#scenario-submit\\\").style.pointerEvents = \\\"none\\\";\\r\\n}\",\n \"function onReset() {\\n clear();\\n}\",\n \"function resetButtonClicked()\\n{\\n document.getElementById('batteryLight').style.backgroundColor = \\\"rgb(165, 164, 164)\\\";\\n powerState = 0;\\n document.getElementById('screenTextTop').textContent = \\\"\\\";\\n document.getElementById('screenTextBottom').textContent = \\\"\\\";\\n batteryLife = 0;\\n number1 = \\\"\\\";\\n number2 = \\\"\\\";\\n number3 = 0;\\n operatorClicked = false;\\n console.log(\\\"calculator reset\\\");\\n}\",\n \"reset() {\\r\\n this.prevState=this.currentState;\\r\\n this.currentState = this.config.initial;\\r\\n }\",\n \"function resetUndoButtons () {\\n\\t\\tdocument.getElementById(\\\"undoButton\\\").disabled = true;\\n\\t\\tdocument.getElementById(\\\"redoButton\\\").disabled = true;\\n\\t\\tundoStack = [];\\n\\t\\tredoStack = [];\\n\\t}\",\n \"function reset() {\\n calculatorData.isAtSecondValue = false;\\n calculatorData.displayValue = '';\\n calculatorData.result = '';\\n calculatorData.isValueDecimal = false;\\n updateDisplay();\\n}\",\n \"reset() {\\n this.setIrqMask(0);\\n this.setNmiMask(0);\\n this.resetCassette();\\n this.keyboard.clearKeyboard();\\n this.setTimerInterrupt(false);\\n this.z80.reset();\\n }\",\n \"function reset () {\\n\\t\\tfillZero(xs,9);\\n\\t\\tfillZero(os,9);\\n\\t\\tremoveSelected(circles);\\n\\t\\tcurrent = null;\\n\\t\\tcounter = null;\\n\\t\\twin = false;\\n\\t\\tdisplay.textContent = \\\"tic tac toe\\\";\\n\\t}\",\n \"addResetButton() {\\n this.interface.gui.add(this.gameOrchestrator, 'reset').name('Restart Game');\\n }\",\n \"function resetState() {\\n\\tclearStatusClass(document.body);\\n\\tnextButton.classList.add(\\\"hide\\\");\\n\\t//if there is a child inside the answer buttons we remove it\\n\\twhile (answerButtonsElement.firstChild) {\\n\\t\\tanswerButtonsElement.removeChild(answerButtonsElement.firstChild);\\n\\t}\\n}\",\n \"reset() {\\r\\n this.currentState = this.config.initial;\\r\\n }\",\n \"function resetBtns() {\\r\\n answer_1.style.backgroundColor = \\\"transparent\\\";\\r\\n answer_1.disabled = false; \\r\\n answer_2.style.backgroundColor = \\\"transparent\\\";\\r\\n answer_2.disabled = false;\\r\\n answer_3.style.backgroundColor = \\\"transparent\\\";\\r\\n answer_3.disabled = false;\\r\\n answer_4.style.backgroundColor = \\\"transparent\\\";\\r\\n answer_4.disabled = false;\\r\\n}\",\n \"reset() {\\n // do nothing\\n }\",\n \"_reset() {\\n const that = this;\\n\\n if (this.element.value) {\\n // This discombulated line is to help the i18next parser pick up all 3 keys.\\n const item =\\n this.props.type === 'signature'\\n ? t('drawwidget.signature')\\n : this.props.type === 'drawing'\\n ? t('drawwidget.drawing')\\n : t('drawwidget.annotation');\\n dialog\\n .confirm(t('filepicker.resetWarning', { item }))\\n .then((confirmed) => {\\n if (!confirmed) {\\n return;\\n }\\n that.pad.clear();\\n that.cache = null;\\n // Only upon reset is loadedFileName removed, so that \\\"undo\\\" will work\\n // for drawings loaded from storage.\\n delete that.element.dataset.loadedFileName;\\n delete that.element.dataset.loadedUrl;\\n that.element.dataset.filenamePostfix = '';\\n $(that.element).val('').trigger('change');\\n // Annotate file input\\n that.$widget\\n .find('input[type=file]')\\n .val('')\\n .trigger('change');\\n that._updateDownloadLink('');\\n that.disable();\\n that.enable();\\n });\\n }\\n }\",\n \"function resetBtnClicked() {\\n if (confirm('คุณต้องการ ลบ / RESET ข้อมูลกิจกรรม Fit4Run ทั้งหมด ใช่ หรือ ไม่ ?')) {\\n // Save it!\\n return resetConfirmed();\\n } else {\\n // Do nothing!\\n }\\n }\",\n \"function reset() {\\n self.taskActionList([]);\\n self.selectedTasklist([]);\\n self.isTaskSelected(false);\\n self.actionName('');\\n self.actionComments('');\\n self.showConfirmation('none');\\n }\",\n \"reset(){\\n\\t\\tif(model.autoRunTimerId !== -1){\\n\\t\\t\\tclearInterval(model.autoRunTimerId) // stop autorun timer if it is started\\n\\t\\t\\t//document.getElementById('autoRunBtn').innerHTML='Autorun';\\n\\t\\t}\\n\\n\\t\\t$(\\\"#infoBitNum\\\").prop('disabled', false);\\n\\t\\t$(\\\"#parityBitNum\\\").prop('disabled', false);\\n\\t\\t$(\\\"#cwBitNum\\\").prop('disabled', 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this._settings.reset(settingsKey + '-hover');\\n }\\n });\\n }\\n }\",\n \"function reset_button_handler(){\\n $('button[type=\\\"reset\\\"]').click(function(){\\n modal_check_box.attr('checked',false); // unchecks modal checkbox\\n shareble_url = window.location.origin+window.location.pathname+\\\"?urls=\\\"; // sets shareble_url back to it's default value;\\n $('#share_url').val(shareble_url); // puts sharable url text inside modal\\n $('#links div a').remove() // removes all the links from the bottom\\n $('#links, #links + .row').addClass('collapse') // collapses footer\\n })\\n }\",\n \"function handleReset(click) {\\n turnCount = 0;\\n init();\\n}\",\n \"_reset() {\\n\\t const that = this;\\n\\n\\t if (this.element.value) {\\n\\t // This discombobulated line is to help the i18next parser pick up all 3 keys.\\n\\t const item =\\n\\t this.props.type === 'signature'\\n\\t ? t('drawwidget.signature')\\n\\t : this.props.type === 'drawing'\\n\\t ? t('drawwidget.drawing')\\n\\t : t('drawwidget.annotation');\\n\\t dialog\\n\\t .confirm(t('filepicker.resetWarning', { item }))\\n\\t .then((confirmed) => {\\n\\t if (!confirmed) {\\n\\t return;\\n\\t }\\n\\t that.pad.reset();\\n\\t that.cache = null;\\n\\t // Only upon reset is loadedFileName removed, so that \\\"undo\\\" will work\\n\\t // for drawings loaded from storage.\\n\\t delete that.element.dataset.loadedFileName;\\n\\t delete that.element.dataset.loadedUrl;\\n\\t that.element.dataset.filenamePostfix = '';\\n\\t jquery(that.element).val('').trigger('change');\\n\\n\\t // Annotate file input\\n\\t that.$widget\\n\\t .find('input[type=file]')\\n\\t .val('')\\n\\t .trigger('change');\\n\\t that._updateDownloadLink('');\\n\\t that.disable();\\n\\t that.enable();\\n\\t });\\n\\t }\\n\\t }\",\n \"_resetHandler() {\\n const that = this;\\n if (that.resetButton) {\\n that.resetButton.remove();\\n }\\n that.appearanceTextBox.value = that.appearanceTextBox.dataset.defaultValue;\\n that.appearanceTextBox.addEventListener('keydown', () => that._showResetButton(), { 'once': true });\\n }\",\n \"function resetState() {\\n clearStatusClass(document.body)\\n while (answerButtonsElement.firstChild) {\\n answerButtonsElement.removeChild(answerButtonsElement.firstChild)\\n }\\n}\",\n \"reset({ text = 'Zurücksetzen', buttonClass = 'game-field-reset-btn' }) {\\n const button = document.createElement('button');\\n button.className = buttonClass;\\n button.appendChild(document.createTextNode(text));\\n document.querySelector(this.target).appendChild(button);\\n }\",\n \"function reset() {\\n resetFunc();\\n }\",\n \"function reset () {\\n setCurrentlyClicking(false);\\n setCounter(1);\\n clearInterval(currentInterval);\\n setCurrentInterval(\\\"\\\");\\n setClickingFast(false);\\n setColors(initialColors);\\n }\",\n \"reset() {\\n\\n }\",\n \"function reset() {\\n spin3();\\n ask.innerHTML = ' ';\\n input.style.display = 'block';\\n input.value = '';\\n button.style.display = 'block';\\n start.src = './img/start.png';\\n button2.style.display = 'none';\\n}\",\n \"function resetBtn() {\\n if (isPlayerWon || isComputerWon) {\\n guessBtn.innerHTML = 'RESET';\\n playerGuess.setAttribute('disabled', 'disabled');\\n } else {\\n guessBtn.innerHTML = 'GUESS';\\n guessBtn.setAttribute('disabled', 'disabled');\\n playerGuess.removeAttribute('disabled');\\n }\\n}\",\n \"reset() {\\r\\n this.state = this.initial;\\r\\n }\",\n \"resetOnNextInput() {\\n this._reset = true;\\n }\",\n \"reset() {\\n this.unbind();\\n }\",\n \"@action.bound reset() {\\n \\n }\",\n \"function resetButton() {\\n $('#reset').click(function() {\\n startGame(gameSpaces);\\n })\\n}\",\n \"reset() {\\n this.interacted = false;\\n if (this._completedOverride != null) {\\n this._completedOverride = false;\\n }\\n if (this._customError != null) {\\n this._customError = false;\\n }\\n if (this.stepControl) {\\n this.stepControl.reset();\\n }\\n }\",\n \"function handleReset() {\\n setBlur((blur = 0));\\n setBrightness((brightness = 100));\\n setContrast((contrast = 100));\\n setGrayscale((grayscale = 0));\\n setHue((hue = 0));\\n setInvert((invert = 0));\\n setOpacity((opacity = 100));\\n setSaturate((saturate = 100));\\n setSepia((sepia = 0));\\n }\",\n \"function resetState() {\\n clearStatusClass(document.body);\\n nextButton.classList.add('hide');\\n while (answerButtonsElement.firstChild) {\\n answerButtonsElement.removeChild(answerButtonsElement.firstChild);\\n }\\n \\n}\",\n \"function buttonReset() {\\n image(imgReset, 350, 550);\\n}\",\n \"function reset() {\\n indexClicked = 0;\\n trackClicked = 0;\\n}\",\n \"function resetState(){\\n clearStatusClass(document.body)\\n nextButton.classList.add(\\\"hide\\\");\\n while(answerButtonElement.firstChild){\\n answerButtonElement.removeChild\\n (answerButtonElement.firstChild)\\n }\\n}\",\n \"function resetcontainer(){\\n answerbuttons.innerHTML = '';\\n}\",\n \"function reset(data) {\\r\\n\\t var btn = data.btn = data.form.find(':input[type=\\\"submit\\\"]');\\r\\n\\t data.wait = data.btn.attr('data-wait') || null;\\r\\n\\t data.success = false;\\r\\n\\t btn.prop('disabled', false);\\r\\n\\t data.label && btn.val(data.label);\\r\\n\\t }\",\n \"handleResetClick(event){\\n this.value = '';\\n this.tableData = [];\\n const evtCustomEvent = new CustomEvent('reset');\\n this.dispatchEvent(evtCustomEvent);\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list 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that has two endpoints: a lower bound and an upper bound. She also presumes that, given the endpoints of an interval, she can construct the interval using the data constructor make_interval. Alyssa first writes a function for adding two intervals. She reasons that the minimum value the sum could be is the sum of the two lower bounds and the maximum value it could be is the sum of the two upper bounds:"},"document":{"kind":"string","value":"function addInterval(x, y) {\n return makeInterval(\n lowerBound(x) + lowerBound(y),\n upperBound(x) + upperBound(y)\n );\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function addTwo(range1, range2) {\n if (range1.overlaps(range2, {adjacent: true})) {\n var start = moment.min(range1.start, range2.start);\n var end = moment.max(range1.end, range2.end);\n var sum = moment.range(start, end);\n return sum;\n } else {\n return null;\n }\n}","addInterval(low, high, value){\n const interval = new Interval(low, high, value);\n this.intervals.insert(interval);\n if(interval.high < this.minimumHigh) this.minimumHigh = interval.high;\n if(interval.high > this.maximumHigh) this.maximumHigh = interval.high;\n if(interval.high > this.high) this.high = interval.high;\n }","function createSubintervals(start, end, unit) {\n var ints = makeIntervals(start, end, unit);\n var collection = toPairs(ints);\n completeInterval(collection, end);\n collection = collection.concat(addLostIntervals(collection));\n return collection;\n}","function sub_interval(x, y) {\n return make_interval(\n lower_bound(x) - lower_bound(y),\n upper_bound(x) - upper_bound(y)\n );\n}","add(range) {\n return new SubRange(\n Math.min(this.low, range.low),\n Math.max(this.high, range.high)\n );\n }","add(range) {\n return new SubRange(Math.min((this || _global).low, range.low), Math.max((this || _global).high, range.high));\n }","function addRanges(range1, range2) {\n const segments = [];\n // consider all possible segment combinations\n range1.forEach((segment1) => {\n range2.forEach((segment2) => {\n segments.push([segment1[0] + segment2[0], segment1[1] + segment2[1]]);\n });\n });\n // join segments that overlap using the classic algorithm\n segments.sort((segmentA, segmentB) => segmentA[0] - segmentB[0]);\n const newRange = [];\n let joinedSegment = segments[0].slice(0);\n segments.slice(1).forEach((segment) => {\n if (joinedSegment[1] >= segment[0]) {\n joinedSegment[1] = Math.max(joinedSegment[1], segment[1]);\n } else {\n newRange.push(joinedSegment);\n joinedSegment = segment.slice(0);\n }\n });\n newRange.push(joinedSegment);\n return newRange;\n}","function makeIntervals(start, end, unit) {\n var r = moment.range(start, end);\n return getInterval(unit, r);\n}","mergeIntervals (intervals)\n {\n if( intervals.length < 2 )\n {\n return intervals\n }\n\n intervals.sort((a, b) => a.start - b.start);\n\n const merged = [];\n\n let start = intervals[0].start,\n end = intervals[0].end;\n\n for (let i = 1; i < intervals.length; i++)\n {\n const interval = intervals[i];\n if (interval.start <= end)\n { // overlapping intervals, adjust the 'end'\n end = Math.max(interval.end, end);\n }\n else\n { // non-overlapping interval, add the previous interval and reset\n merged.push(new Interval(start, end));\n start = interval.start;\n end = interval.end;\n }\n }\n // add the last interval\n merged.push(new Interval(start, end));\n\n return merged;\n }","function getRangeOverlap(first, second) {\n const result = {\n first: [],\n second: [],\n both: null\n };\n // Both\n if (first[0] < second[1] && second[0] < first[1]) {\n const start = Math.max(first[0], second[0]);\n const end = Math.min(first[1], second[1]);\n result.both = rangeOrIndividual(start, end);\n }\n // Before\n if (first[0] < second[0]) {\n const start = first[0];\n const end = Math.min(second[0], first[1]);\n result.first.push(rangeOrIndividual(start, end));\n }\n else if (second[0] < first[0]) {\n const start = second[0];\n const end = Math.min(second[1], first[0]);\n result.second.push(rangeOrIndividual(start, end));\n }\n // After\n if (first[1] > second[1]) {\n const start = Math.max(first[0], second[1]);\n const end = first[1];\n result.first.push(rangeOrIndividual(start, end));\n }\n else if (second[1] > first[1]) {\n const start = Math.max(first[1], second[0]);\n const end = second[1];\n result.second.push(rangeOrIndividual(start, end));\n }\n return result;\n}","function Interval(start, end) {\n this.start = start\n this.end = end\n}","insertInterval (intervals, new_interval)\n {\n const merged = [];\n\n let newStart = new_interval[0]\n let newEnd = new_interval[1]\n\n let i = 0\n while( i < intervals.length && intervals[i][1] <= newStart )\n {\n merged.push( intervals[i] )\n i++\n }\n\n if( intervals[i][1] === newStart )\n {\n newStart = intervals[i][0]\n }\n\n while( i < intervals.length && intervals[i][0] <= newEnd )\n {\n newEnd = Math.max( newEnd, intervals[i][1] )\n i++\n }\n\n merged.push( [newStart, newEnd] )\n\n while( i < intervals.length )\n {\n merged.push( intervals[i] )\n i++\n }\n\n return merged;\n }","function Interval(start, end) {\n this.start = start;\n this.end = end;\n}","function Interval(start, end) {\n this.start = start;\n this.end = end;\n}","function Interval(start, end) {\n this.start = start;\n this.end = end;\n }","function mulInterval(x, y) {\n const p1 = lowerBound(x) * lowerBound(y);\n const p2 = lowerBound(x) * upperBound(y);\n const p3 = upperBound(x) * lowerBound(y);\n const p4 = upperBound(x) * upperBound(y);\n return makeInterval(Math.min(p1, p2, p3, p4), Math.max(p1, p2, p3, p4));\n}","findIntersection (intervals_a, intervals_b)\n {\n const result = [];\n\n let aIndex = 0, bIndex = 0\n\n while( aIndex < intervals_a.length && bIndex < intervals_b.length )\n {\n const aStart = intervals_a[aIndex][0],\n aEnd = intervals_a[aIndex][1],\n bStart = intervals_b[bIndex][0],\n bEnd = intervals_b[bIndex][1]\n\n if( bStart <= aEnd && aStart <= bEnd )\n {\n result.push( [Math.max(aStart, bStart), Math.min(aEnd, bEnd)] )\n aIndex++\n }\n else if( aStart <= bEnd && bStart <= aEnd )\n {\n result.push( [Math.max(aStart, bStart), Math.min(aEnd, bEnd)] )\n bIndex++\n }\n\n if( aEnd < bStart )\n {\n aIndex++\n }\n else if( bEnd < aStart )\n {\n bIndex++\n }\n }\n\n return result;\n}","function addInterval(list, newInt){\n if(!list || !newInt) return 'please provide a list and a new list.'\n let newList = [];\n var holder = [null,null];\n var intGreaterThenNew = false;\n\n list.forEach(int => {\n let temp = [];\n if(holder[0]){\n temp[0] = holder;\n } else {\n temp[0] = newInt[0];\n }\n if(holder[1]){\n temp[1] = holder[1];\n } else {\n temp[1] = newInt[1];\n }\n if(temp[0] > int[1]){\n newList.push(int); //new Interval is greater then both parts of the other\n }\n if(temp[0] <= int[1]){\n if(temp[0] <= int[0]){\n if(temp[1] > int[1]){\n //larger of new interval is larger then larger of current interval\n holder[1] = newInt [1];\n }\n if(temp[1] <= int[1]){\n if(temp[1] <= int[0]){ //new Interval is less then both parts of this interval\n if(temp[0] && temp[1]) {\n newList.push(temp);\n }\n newList.push(int);\n intGreaterThenNew = true;\n return\n }\n //larger of newinterval is less then larger of current interval;\n holder[1] = int[1];\n }\n //newInt min is less then current interval min\n holder[0] = newInt[1];\n }\n //newInt min is less less then current int max but not less then its min.\n holder[0] = int[0];\n }\n })\n if(!intGreaterThenNew) newList.push(holder);\n return newList;\n}","function IntervalPacker(lowerBoundToInt, upperBoundToInt, options) {\n options = options || {};\n\n this._lowerBoundToInt = lowerBoundToInt;\n this._upperBoundToInt = upperBoundToInt;\n this._minGap = options.minGap || 0;\n\n}","function intervalDistance(minA, maxA, minB, maxB)\n{\n if (minA < minB)\n {\n return minB - maxA;\n }\n\n else return minA - maxB;\n}","function rangeIntersection(a, b) {\n if (a[0] > b[1])\n return null;\n if (a[1] < b[0])\n return null;\n // We know they intersect, result is the larger lower bound to the smaller\n // upper bound.\n return [Math.max(a[0], b[0]), Math.min(a[1], b[1])];\n}","function unionRanges(a, b) {\n if (!rangesOverlap(a, b)) {\n return null;\n } // Find the range with the earliest start point, and the range with the\n // latest end point.\n\n\n var starter = compareRangeBoundaryPoints(a, \"start\", b, \"start\") < 0 ? a : b;\n var ender = compareRangeBoundaryPoints(a, \"end\", b, \"end\") > 0 ? a : b;\n return spanRanges(starter, ender);\n}","function validateStartEnd(start, end) {\n if (!start || !start.isValid) {\n return Interval.invalid(\"missing or invalid start\");\n } else if (!end || !end.isValid) {\n return Interval.invalid(\"missing or invalid end\");\n } else if (end < start) {\n return Interval.invalid(\"end before start\", \"The end of an interval must be after its start, but you had start=\" + start.toISO() + \" and end=\" + end.toISO());\n } else {\n return null;\n }\n }","function intervalContainsInterval(interval1, interval2) {\n\t\t\treturn interval1.start <= interval2.start && interval2.end <= interval1.end;\n\t\t}","function validateStartEnd(start, end) {\n if (!start || !start.isValid) {\n return Interval.invalid(\"missing or invalid start\");\n } else if (!end || !end.isValid) {\n return Interval.invalid(\"missing or invalid end\");\n } else if (end < start) {\n return Interval.invalid(\"end before start\", \"The end of an interval must be after its start, but you had start=\" + start.toISO() + \" and end=\" + end.toISO());\n } else {\n return null;\n }\n}","function validateStartEnd(start, end) {\n if (!start || !start.isValid) {\n return Interval.invalid(\"missing or invalid start\");\n } else if (!end || !end.isValid) {\n return Interval.invalid(\"missing or invalid end\");\n } else if (end < start) {\n return Interval.invalid(\"end before start\", \"The end of an interval must be after its start, but you had start=\" + start.toISO() + \" and end=\" + end.toISO());\n } else {\n return null;\n }\n}","function validateStartEnd(start, end) {\n if (!start || !start.isValid) {\n return Interval.invalid(\"missing or invalid start\");\n } else if (!end || !end.isValid) {\n return Interval.invalid(\"missing or invalid end\");\n } else if (end < start) {\n return Interval.invalid(\"end before start\", \"The end of an interval must be after its start, but you had start=\" + start.toISO() + \" and end=\" + end.toISO());\n } else {\n return null;\n }\n}","function validateStartEnd(start, end) {\n if (!start || !start.isValid) {\n return Interval.invalid(\"missing or invalid start\");\n } else if (!end || !end.isValid) {\n return Interval.invalid(\"missing or invalid end\");\n } else if (end < start) {\n return Interval.invalid(\"end before start\", \"The end of an interval must be after its start, but you had start=\" + start.toISO() + \" and end=\" + end.toISO());\n } else {\n return null;\n }\n}","function unionRanges(a, b) {\n\t if (!rangesOverlap(a, b)) {\n\t return null;\n\t }\n\n\t // Find the range with the earliest start point, and the range with the\n\t // latest end point.\n\t var starter = compareRangeBoundaryPoints(a, \"start\", b, \"start\") < 0 ? a : b;\n\t var ender = compareRangeBoundaryPoints(a, \"end\", b, \"end\") > 0 ? a : b;\n\n\t return spanRanges(starter, ender);\n\t}","function sumIntervals(intervals) {\n let sum = 0;\n intervals = intervals.sort(sortFunction);\n\n function sortFunction(a, b) { // Сортировка по первому столбцу\n if (a[0] === b[0]) {\n return 0;\n } else {\n return (a[0] < b[0]) ? -1 : 1;\n }\n }\n\n sum += intervals[0][1] - intervals[0][0];\n let max = intervals[0][1];\n for (let key = 1; key < intervals.length; key++) {\n if (intervals[key][1] <= max) {\n // nothing\n } else if (intervals[key][1] >= intervals[key - 1][1] && intervals[key][0] <= intervals[key - 1][1]) {\n sum += intervals[key][1] - intervals[key - 1][1];\n max = intervals[key][1];\n } else {\n sum += intervals[key][1] - intervals[key][0];\n max = intervals[key][1];\n }\n }\n return sum;\n}","_commonIntervalLength(i1start, i1end, i2start, i2end) {\n if (i1end < i2start || i2end < i1start) {\n return 0;\n }\n return Math.min(i1end, i2end) - Math.max(i1start, i2start);\n }","function validateStartEnd(start, end) {\n if (!start || !start.isValid) {\n return Interval.invalid(\"missing or invalid start\");\n } else if (!end || !end.isValid) {\n return Interval.invalid(\"missing or invalid end\");\n } else if (end < start) {\n return Interval.invalid(\"end before start\", `The end of an interval must be after its start, but you had start=${start.toISO()} and end=${end.toISO()}`);\n } else {\n return null;\n }\n}","function validateStartEnd(start, end) {\n if (!start || !start.isValid) {\n return Interval.invalid(\"missing or invalid start\");\n } else if (!end || !end.isValid) {\n return Interval.invalid(\"missing or invalid end\");\n } else if (end < start) {\n return Interval.invalid(\"end before start\", `The end of an interval must be after its start, but you had start=${start.toISO()} and end=${end.toISO()}`);\n } else {\n return null;\n }\n}","function getSum( a,b ) {\n let min = Math.min(a,b);\n let max = Math.max(a,b);\n let sum = 0;\n if (min >= 0) {\n while (max-min >= 1) {\n sum = sum + max;\n max--;\n }\n } else if (min < 0) {\n while (-min-max >= 1) {\n sum += max;\n max--;\n }\n }\n\n \n \n console.log(min, max, sum)\n \n return;\n}","function createIntervals(data) {\n var newArr = [];\n var start = Math.min(...data);\n var end = 0;\n var max = Math.max(...data);\n var i = start;\n while (i <= max) {\n //find end of interval\n while ( data.includes(i + 1) && i <= max) {\n i++;\n }\n end = i;\n newArr.push([start, end]);\n i++;\n //find new start\n while ( !data.includes(i) && i <= max ) {\n i++;\n }\n start = i;\n }\n return newArr;\n}","function extendRange(range_arr, extend_coef) {\n var max = range_arr[1];\n var min = range_arr[0];\n max = max + Math.abs(max) * extend_coef;\n min = min - Math.abs(min) * extend_coef;\n var extended_arr = [min, max];\n return extended_arr;\n\n}","function MultiInterval(intervals, isClone) {\n // Not very nice but it is hard to clone in js\n if (isClone) {\n this.intervals = [...intervals];\n return this;\n }\n if (!Array.isArray(intervals) || intervals.length === 0) {\n this.intervals = [];\n return this;\n }\n this.intervals = [];\n var checkedIntervals = [];\n // So we can check interval\n var intervalConstructor = interval(0, 1).constructor;\n for (let myInterval of intervals) {\n if (!myInterval instanceof intervalConstructor) {\n this.intervals = [];\n return this;\n }\n if (!myInterval.empty) {\n checkedIntervals.push(myInterval.clone());\n }\n }\n\n checkedIntervals.sort((i1, i2) => i1.start - i2.start);\n\n // Now we need to coalesce intervals if needed\n let nextInterval = null;\n for (let myInterval of checkedIntervals) {\n if (nextInterval === null) {\n nextInterval = myInterval;\n } else {\n if (!nextInterval.intersect(myInterval).empty) {\n nextInterval.coalesceInPlace(myInterval);\n } else {\n this.intervals.push(nextInterval.start, nextInterval.end);\n nextInterval = myInterval;\n }\n }\n }\n if (nextInterval) {\n this.intervals.push(nextInterval.start, nextInterval.end);\n }\n return this;\n}","function insertInterval(arr, newInterval) {\n let intervals = arr; \n let reverseSortedIntervals = [];\n let newInt = newInterval; \n\n if (intervals.length < 1) {\n return [newInterval]\n }\n\n if (intervals.length === 1) {\n if (newInterval[0] < intervals[0][0]) {\n let newSecondInterval = intervals[0];\n intervals.pop();\n intervals.push(newInterval);\n intervals.push(newSecondInterval);\n } else {\n intervals.push(newInterval);\n }\n }\n\n // we sort the intervals array from latest end time to earliest end time, \n // inserting the new interval whenever appropriate.\n // big O of this part is O(n) due to us having to push into the \n // reverseSortedIntervals arr n times.\n while (intervals.length> 0) {\n if (newInt !== null) {\n // if the new interval start time is less than the 1st entry in the\n // intervals array, it is pushed into the reverseSortedIntervals \n // array first\n if (newInt[0]>=intervals[intervals.length-1][0]) {\n reverseSortedIntervals.push(newInt);\n newInt = null;\n } else {\n reverseSortedIntervals.push(intervals.pop());\n }\n } else {\n reverseSortedIntervals.push(intervals.pop());\n }\n }\n\n intervals = reverseSortedIntervals;\n let mergedIntervals = [];\n\n // bigO = O(n)\n while (intervals.length > 1) {\n let intervalA = intervals[intervals.length-1];\n let intervalB = intervals[intervals.length-2];\n\n // if end time of intervalA is greater than the start time of interval B, \n // we have overlap\n if (intervalB[0] < intervalA[1]) {\n // get the endTime of new merged interval\n let endTime = Math.max(intervalA[1], intervalB[1]);\n\n // replace intervalB value with the value of the new merged interval\n intervalB = [intervalA[0], endTime];\n\n // replace the old value of intervalB in the intervals array with the \n // new interval B \n intervals[intervals.length-2] = intervalB;\n\n // pop off intervalA from the intervals array\n intervals.pop();\n } else {\n // we do not have overlap, so we pop off the end value in intervals \n // and push it into mergedIntervals\n mergedIntervals.push(intervals.pop())\n }\n }\n\n // at this point the length of the intervals array is just one, so we just pop\n // it into the merged intervals array \n mergedIntervals.push(intervals.pop());\n\n return mergedIntervals\n}","function GetSum( a,b ) {\n let min = Math.min(a,b)\n let max = Math.max(a,b)\n \n let total = 0\n \n for(let i = min; i <= max; i++){\n total += i\n }\n return total\n }","function mergeRange(ranges, newRangeStart, newRangeEnd) {\n let inRange = false;\n for (let i = 0; i < ranges.length; i++) {\n const range = ranges[i];\n if (!inRange) {\n if (newRangeEnd <= range[0]) {\n // Case 1: New range is before the search range\n ranges.splice(i, 0, [newRangeStart, newRangeEnd]);\n return ranges;\n }\n else if (newRangeEnd <= range[1]) {\n // Case 2: New range is either wholly contained within the\n // search range or overlaps with the front of it\n range[0] = Math.min(newRangeStart, range[0]);\n return ranges;\n }\n else if (newRangeStart < range[1]) {\n // Case 3: New range either wholly contains the search range\n // or overlaps with the end of it\n range[0] = Math.min(newRangeStart, range[0]);\n inRange = true;\n }\n else {\n // Case 4: New range starts after the search range\n continue;\n }\n }\n else {\n if (newRangeEnd <= range[0]) {\n // Case 5: New range extends from previous range but doesn't\n // reach the current one\n ranges[i - 1][1] = newRangeEnd;\n return ranges;\n }\n else if (newRangeEnd <= range[1]) {\n // Case 6: New range extends from prvious range into the\n // current range\n ranges[i - 1][1] = Math.max(newRangeEnd, range[1]);\n ranges.splice(i, 1);\n inRange = false;\n return ranges;\n }\n else {\n // Case 7: New range extends from previous range past the\n // end of the current range\n ranges.splice(i, 1);\n i--;\n }\n }\n }\n if (inRange) {\n // Case 8: New range extends past the last existing range\n ranges[ranges.length - 1][1] = newRangeEnd;\n }\n else {\n // Case 9: New range starts after the last existing range\n ranges.push([newRangeStart, newRangeEnd]);\n }\n return ranges;\n}","insert(low, high, value){\n // Validate input interval\n low = IntervalTree.validate(low, \"Low bound\", false);\n high = IntervalTree.validate(high, \"High bound\", false);\n if(high < low) throw new RangeError(\n `Invalid interval [${low}, ${high}]. ` + \n \"The high bound must be greater than or equal to the low bound.\"\n );\n // Handle the case where the tree is currently empty\n if(!this.root){\n this.root = new IntervalTreeNode(\n this.valuesEqual, low, high, null, Black\n );\n this.root.addInterval(low, high, value);\n return this.root;\n }\n // Otherwise, search for the place where this interval should be added\n let node = this.root;\n while(true){\n if(low < node.low){\n if(node.left){\n node = node.left;\n }else{ // Add the interval to a new left child of this node\n node.addLeftChild(this, low, high, value);\n break;\n }\n }else if(low > node.low){\n if(node.right){\n node = node.right;\n }else{ // Add the interval to a new right child of this node\n node.addRightChild(this, low, high, value);\n break;\n }\n }else{\n // Add the interval to this node (same low boundary)\n node.addInterval(low, high, value);\n node.addIntervalUpdateLimits();\n break;\n }\n }\n }","function intersectRanges(a, b) {\n\t if (!rangesOverlap(a, b)) {\n\t return null;\n\t }\n\n\t // Find the range with the latest start point, and the range with the\n\t // earliest end point.\n\t var starter = compareRangeBoundaryPoints(a, \"start\", b, \"start\") > 0 ? a : b;\n\t var ender = compareRangeBoundaryPoints(a, \"end\", b, \"end\") < 0 ? a : b;\n\n\t return spanRanges(starter, ender);\n\t}","function intersectRanges(a, b) {\n if (!rangesOverlap(a, b)) {\n return null;\n } // Find the range with the latest start point, and the range with the\n // earliest end point.\n\n\n var starter = compareRangeBoundaryPoints(a, \"start\", b, \"start\") > 0 ? a : b;\n var ender = compareRangeBoundaryPoints(a, \"end\", b, \"end\") < 0 ? a : b;\n return spanRanges(starter, ender);\n}","addRange(high, low, mid) {\n this.range.push({\n 'high': high,\n 'low': low,\n 'mid': mid,\n })\n //return this.range\n }","function rangesOverlap(a_start, a_end, b_start, b_end) {\n if (a_start <= b_start && b_start <= a_end) return true; // b starts in a\n if (a_start <= b_end && b_end <= a_end) return true; // b ends in a\n if (b_start < a_start && a_end < b_end) return true; // a in b\n return false;\n}","calcIntervals()\n {\n let intervals = [];\n\n this.choices.reduce(\n function(p, c) {\n intervals.push(\n ((p && p.weight) || 0) +\n ((c && c.weight) || 0)\n );\n },\n null\n );\n\n intervals = intervals.map(function(cur, idx, array) {\n return cur + array.slice(0,idx).reduce((p, c) => p + c, 0);\n });\n\n this.intervals = intervals;\n this.maxInterval = intervals[intervals.length - 1];\n }","function sumRange(start, end) { \n let myArr = [];\n for (let i = start; i <= end; i++)\n myArr.push(i);\n return myArr.reduce(function(a, b){\n return a + b; \n });\n}","function GetSum( a,b )\n{\n if (a === b) return a; else {\n let min,max; let out = 0;\n if (a < b) {min = a; max = b;} else {min = b; max = a}\n out = 0;\n\n for (let i = 0; i < Math.abs(max - min); i++){\n out += max - i;\n }\n return out + min;\n }\n}","function computeSumBetween(num1, num2) {\n var rangeArray = [];\n var sumResult = 0;\n\n if (num1 < num2) {\n for (var i = num1; i < num2; i++) {\n rangeArray.push(i);\n }\n\n for (var i = 0; i < rangeArray.length; i++) {\n sumResult += rangeArray[i];\n }\n\n return sumResult;\n\n } else {\n return 0;\n }\n\n}","function sumIntervals(intervals){ \n var removedSomething = false;\n //Keep reducing the list until no more elements are removed\n while(true)\n {\n removedSomething = false;\n //ensure that intervals are always sorted based where they start\n intervals.sort(function(a, b){return a[0]-b[0]});\n \n for(var i = 0; i < intervals.length-1; i++)\n {\n var current = intervals[i];\n var next = intervals[i+1];\n \n //if the 'next' range is 100% nested within 'current' range. Remove next without tracking it.\n if(next[0] >= current[0] && next[1] <= current[1])\n { \n removedSomething = true;\n intervals.splice(i+1,1);\n continue;\n }\n \n //Check if the end of the current range would step into the next range. Then merge and remove next.\n if(current[1] >= next[0])\n {\n removedSomething = true;\n current[1] = next[1];\n intervals.splice(i+1,1);\n }\n }\n \n if(!removedSomething) break;\n }\n \n var sum = 0;\n for(var interval of intervals) sum += interval[1] - interval[0];\n return sum;\n}","function range(start, end) {\n start = Number(start) || 0;\n if (end === undefiend) {\n return function getEnd(end) {\n return getRange(start, end);\n }\n } else {\n end = Number(end) || 0;\n return getRange(start, end);\n }\n function getRange(start, end) {\n let ret = [];\n for (let i = start; i <= end; i++) {\n ret.push(i);\n }\n return ret;\n }\n}","function sumIntervals(intervals) {\n let result = 0;\n intervals.sort((a, b) => a[0] - b[0]);\n for (let i = 0; i < intervals.length; i++){\n let restIntervals = intervals.slice(i+1, intervals.length);\n for (let j = 0; j < restIntervals.length; j++){\n let secondInterval = restIntervals[j];\n if (intervals[i][1] > secondInterval[0]){\n let newInterval = [intervals[i][0], Math.max(intervals[i][1], secondInterval[1])];\n intervals[i] = [...newInterval];\n restIntervals[j] = [...newInterval];\n intervals.splice(i+1, 1);\n }\n }\n result += intervals[i][1] - intervals[i][0];\n };\n return result;\n}","function combineRanges(ranges){var ordered=ranges.map(mapWithIndex).sort(sortByRangeStart);for(var j=0,i=1;i<ordered.length;i++){var range=ordered[i];var current=ordered[j];if(range.start>current.end+1){// next range\nordered[++j]=range;}else if(range.end>current.end){// extend range\ncurrent.end=range.end;current.index=Math.min(current.index,range.index);}}// trim ordered array\nordered.length=j+1;// generate combined range\nvar combined=ordered.sort(sortByRangeIndex).map(mapWithoutIndex);// copy ranges type\ncombined.type=ranges.type;return combined;}","function getSum(a,b) {\n let arrayOfNumbers = [];\n\n const min = (a <= b) ? a : b;\n const max = (a <= b) ? b : a;\n\n for (var item = min; item <= max; item++) {\n arrayOfNumbers = [...arrayOfNumbers, item];\n }\n\n const sum = arrayOfNumbers.reduce((total, item) => total + item);\n return sum;\n}","function map_range(value, low1, high1, low2, high2) {\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\n}","function map_range(value, low1, high1, low2, high2) {\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\n}","function map_range(value, low1, high1, low2, high2) {\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\n}","function map_range(value, low1, high1, low2, high2) {\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\n}","function map_range(value, low1, high1, low2, high2) {\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\n}","function between(num, bound1, bound2){\n return (((bound1 >= num) && (bound2 <= num)) || ((bound1 <= num) && (bound2 >= num)))\n}","function spanRanges(a, b) {\n\t var range = a.cloneRange();\n\t range.setEnd(b.endContainer, b.endOffset);\n\t return range;\n\t}","function Interval(start, stop) {\n\tthis.start = start;\n\tthis.stop = stop;\n\treturn this;\n}","function Interval(start, stop) {\n\tthis.start = start;\n\tthis.stop = stop;\n\treturn this;\n}","function spanRanges(a, b) {\n var range = a.cloneRange();\n range.setEnd(b.endContainer, b.endOffset);\n return range;\n}","function addInterval(bpms, newInterval, numIntervals) {\n\t\tbpms.push(newInterval);\n\t\tif (bpms.length > numIntervals) {\n\t\t\tbpms.shift();\n\t\t}\n\t\treturn bpms;\n\t}","function range(x, y, result = []) {\r\n let min = Math.min(x, y);\r\n let max = Math.max(x, y);\r\n if (min === max) {\r\n result.push(min);\r\n return result;\r\n }\r\n result.push(min);\r\n min++;\r\n return range(min, max, result);\r\n}","function between(a, b) {\n // your code here\n let array = []\n let min = Math.min(a,b)\n let max = Math.max(a,b)\n for(let i=min; i<=max; i++){\n array.push(i)\n }\n return array\n\n}","function updateRange(lo, hi, values, add) {\n let ranges = settings.process.ranges;\n let slices = {};\n let min = lo;\n let max = hi;\n\n // special case for belt loops which should not be flattened\n if (values.outputLoops) {\n ranges.push({\n lo, hi, fields: values\n });\n api.conf.update_fields(settings.process);\n api.show.alert(\"update ranges\", 2);\n api.event.emit(\"range.updates\", ranges);\n return;\n }\n\n // just remove values from matching ranges\n if (!add) {\n for (let range of getOverlappingRanges(lo, hi)) {\n for (let key of Object.keys(values)) {\n delete range.fields[key];\n }\n if (Object.keys(range.fields).length === 0) {\n let pos = ranges.indexOf(range);\n if (pos >= 0) {\n ranges.splice(pos,1);\n }\n }\n }\n api.event.emit(\"range.updates\", ranges);\n return;\n }\n\n // set aside belt loops and re-append later\n // since we do not want to collapse/merge loops\n let exclude = ranges.filter(r => r.fields.outputLoops);\n ranges = ranges.filter(r => !r.fields.outputLoops);\n\n // flatten ranges\n ranges.push({lo, hi, fields: values});\n for (let range of ranges) {\n min = Math.min(range.lo, min);\n max = Math.max(range.hi, max);\n for (let i=range.lo; i<=range.hi; i++) {\n let slice = slices[i];\n if (!slice) {\n slice = slices[i] = {};\n }\n for (let [key,val] of Object.entries(range.fields)) {\n slice[key] = val;\n }\n }\n }\n\n // merge contiguous matching ranges\n ranges = settings.process.ranges = [];\n let range;\n for (let i=min; i<=max; i++) {\n let slice = slices[i];\n if (slice && !range) {\n range = {lo: i, hi: i, fields: slice};\n } else if (slice && range && areEqual(range.fields, slice)) {\n range.hi = i;\n } else if (range) {\n ranges.push(range);\n if (slice) {\n range = {lo: i, hi: i, fields: slice};\n } else {\n range = undefined;\n }\n }\n }\n\n ranges.push(range);\n ranges.appendAll(exclude);\n\n api.conf.update_fields(settings.process);\n api.show.alert(\"update ranges\", 2);\n api.event.emit(\"range.updates\", ranges);\n}","function map_range(value, low1, high1, low2, high2) {\r\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\r\n }","function Interval(min, max) {\n this.min = min;\n this.max = max;\n if (max < min) {\n throw new Error('max less than min');\n }\n }","function validateStartEnd(start, end) {\n if (!start || !start.isValid) {\n return new Invalid(\"missing or invalid start\");\n } else if (!end || !end.isValid) {\n return new Invalid(\"missing or invalid end\");\n } else if (end < start) {\n return new Invalid(\"end before start\", \"The end of an interval must be after its start, but you had start=\" + start.toISO() + \" and end=\" + end.toISO());\n } else {\n return null;\n }\n}","function intersection(range1, range2) {\n var start1 = _Type__WEBPACK_IMPORTED_MODULE_0__[\"getValue\"](range1.start);\n var start2 = _Type__WEBPACK_IMPORTED_MODULE_0__[\"getValue\"](range2.start);\n var end1 = _Type__WEBPACK_IMPORTED_MODULE_0__[\"getValue\"](range1.end);\n var end2 = _Type__WEBPACK_IMPORTED_MODULE_0__[\"getValue\"](range2.end);\n var startMax = Math.max(start1, start2);\n var endMin = Math.min(end1, end2);\n if (endMin < startMax) {\n return undefined;\n }\n else {\n return { start: startMax, end: endMin };\n }\n}","function rangeOrIndividual(start, end) {\n if (end - start === 1) {\n return start;\n }\n else {\n return [start, end];\n }\n}","function intervalOutside(firstInterval, secondInterval) {\n const future = firstInterval[0] > secondInterval[1] && firstInterval[1] > secondInterval[1];\n const past = firstInterval[0] < secondInterval[0] && firstInterval[1] < secondInterval[0];\n return future || past;\n}","function sumAll1(arr) {\n let max = Math.max(arr[0], arr[1]);\n let min = Math.min(arr[0], arr[1]);\n let sumBetween = 0;\n for (let i = min; i <= max; i++) {\n sumBetween += i;\n }\n return sumBetween;\n}","extendToCover(min, max) {\r\n let x = this.min;\r\n while (min < x) {\r\n x = DateTimeSequence.ADD_INTERVAL(x, -this.interval, this.unit);\r\n this.sequence.splice(0, 0, x);\r\n }\r\n this.min = x;\r\n x = this.max;\r\n while (x < max) {\r\n x = DateTimeSequence.ADD_INTERVAL(x, this.interval, this.unit);\r\n this.sequence.push(x);\r\n }\r\n this.max = x;\r\n }","function SimpleInterval(a, b) {\n if (!(a instanceof SimpleFloat) || !(b instanceof SimpleFloat) || a.add(b.negate()).sign() > 0) {\n throw new TypeError();\n }\n this.a = a;\n this.b = b;\n}","function GetSum( a, b ) {\n var list = [];\n \n if ( a < b ) {\n for(var i = a; i <= b; i++) {\n list.push(i);\n }\n }\n \n else {\n for(var i = b; i <= a; i++) {\n list.push(i);\n }\n }\n \n // ES6 to the rescue\n var sum = list.reduce((a, b) => a + b);\n return sum; \n}","function __WEBPACK_DEFAULT_EXPORT__(range, min, max) {\n var lo = range[0],\n hi = range[1],\n span;\n\n if (hi < lo) {\n span = hi;\n hi = lo;\n lo = span;\n }\n span = hi - lo;\n\n return span >= (max - min)\n ? [min, max]\n : [\n (lo = Math.min(Math.max(lo, min), max - span)),\n lo + span\n ];\n}","constructor(interval_start, interval_end) {\n if (!(interval_start instanceof Date && interval_end instanceof Date)) {\n errorLog('Error: Attempted to construct interval object with non-Date parameters.');\n }\n\n this.start = !!interval_start && interval_start instanceof Date ? interval_start.getTime() : interval_start;\n this.end = !!interval_end && interval_end instanceof Date ? interval_end.getTime() : interval_end;\n }","function rangeRad(a,b){\n var min = Math.min.apply(Math, [a, b]);\n var max = Math.max.apply(Math, [a, b]);\n console.log('min ' + min + ' max '+max);\n return this > min && this < max;\n }","function intervalChoice(a, interval) {\n\n // filter numbers\n var numbers = interval.filter(function(a) { return typeof a === 'number'; });\n\n // get interval limits\n var amin = numbers[0];\n var amax = numbers[numbers.length - 1];\n\n // capture numbers beyond interval limits\n interval.unshift(-Infinity);\n interval.push(Infinity);\n\n // iterate over the interval, to find the function\n // that corresponds to our value 'a'\n var n = interval.length - 1;\n for(var i = 1; i < n; i++) {\n if(typeof interval[i] === 'function') {\n var abot = interval[i - 1];\n var afun = interval[i];\n var atop = interval[i + 1];\n if(abot <= a && a < atop) {\n return afun(a, abot, atop);\n }\n }\n }\n}","function Interval(start, stop) {\n _classCallCheck(this, Interval);\n\n this.start = start;\n this.stop = stop;\n }","function range(start, end) {\n //Input sanitization\n if (!start && !end) return \"Please provide both start and end points\";\n if (!end) return \"Please provide an endpoint\";\n if (isNaN(start) || isNaN(end))\n return \"Both start and end points must be numbers\";\n\n let arr = [];\n while (start <= end) {\n arr.push(start);\n start++;\n }\n return arr;\n}","function intervalHelper(intervals, time) {\n var applicable = [];\n var next = Number.POSITIVE_INFINITY;\n for (var i = 0; i < intervals.length; i++) {\n var interval = intervals[i];\n var valid = true;\n if (interval.start) {\n valid = valid && interval.start <= time;\n if (interval.start > time && interval.start < next) {\n next = interval.start;\n }\n }\n if (interval.end) {\n valid = valid && interval.end >= time;\n if (valid && interval.end < next) {\n next = interval.end + 1;\n }\n }\n if (valid) {\n applicable.push(interval.name);\n }\n }\n next = next === Number.POSITIVE_INFINITY ? undefined : next;\n return { configs: applicable, next: next };\n }","function range(start, end) {\n if ((start && end) || end == 0) {\n let result = [];\n for (i = start; i <= end; i++) {\n result.push(i);\n }\n return result;\n }\n\n if (arguments[1] === undefined) {\n return function rangeTill(end) {\n let result = [];\n for (i = start; i <= end; i++) {\n result.push(i);\n }\n return result;\n };\n }\n}","function within(min1, max1, min2, max2) {\n return (min1 <= max2 && max1 >= min2);\n}","function getSum( a,b )\r\n {\r\n let max = Math.max(a,b);\r\n let min = Math.min(a,b);\r\n let sum =0;\r\n if(a===b){\r\n return a;\r\n }else{\r\n for(let i =min ; i <= max ; i++) {\r\n sum +=i;\r\n }\r\n }\r\n return sum;\r\n \r\n }","function getSumOf(lowerBound, higherBound) {\n if (lowerBound >= higherBound) {\n return 0;\n }\n\n let finalResult = 0;\n\n for (let i = lowerBound; i <= higherBound; i++) {\n finalResult += i;\n }\n\n return finalResult;\n}","function makeBetweenFunc(min, max) {\n return function (num) {\n return num >= min && num <= max;\n };\n}","function overlaps (min1, max1, min2, max2)\n\t{\n\t\treturn is_between (min2, min1, max1) || is_between (min1, min2, max2);\n\t}","function makeBetweenFunc(min, max) {\n return function(value) {\n return value >= min && value <= max;\n }\n}","function Interval(data, id, s, e) {\n\t this.id = id;\n\t this.start = data[s];\n\t this.end = data[e];\n\t this.data = data;\n\n\t if (typeof this.start != 'number' || typeof this.end != 'number') {\n\t throw new Error('start, end must be number. start: ' + this.start + ', end: ' + this.end);\n\t }\n\n\t if (this.start >= this.end) {\n\t throw new Error('start must be smaller than end. start: ' + this.start + ', end: ' + this.end);\n\t }\n\t}","function sum (start, end) {\n if (start > end) {\n return sum(end, start);\n } else if (start === end) {\n return end;\n } else {\n return start + sum(start + 1, end);\n }\n}","function compareRangeBoundaryPoints(a, whichA, b, whichB) {\n\t var mode = void 0;\n\t if (whichA === \"start\" && whichB === \"start\") {\n\t // $FlowFixMe(mdr)\n\t mode = Range.START_TO_START;\n\t } else if (whichA === \"start\" && whichB === \"end\") {\n\t // NOTE(mdr): Confusingly, the correct constant here is actually\n\t // `END_TO_START`, which is the reverse of what you'd expect.\n\t // $FlowFixMe(mdr)\n\t mode = Range.END_TO_START;\n\t } else if (whichA === \"end\" && whichB === \"start\") {\n\t // NOTE(mdr): Confusingly, the correct constant here is actually\n\t // `START_TO_END`, which is the reverse of what you'd expect.\n\t // $FlowFixMe(mdr)\n\t mode = Range.START_TO_END;\n\t } else {\n\t // $FlowFixMe(mdr)\n\t mode = Range.END_TO_END;\n\t }\n\t return a.compareBoundaryPoints(mode, b);\n\t}","function midrange (a, b,c) {\n let min = Math.min(a, b,c);\n let max = Math.max(a, b,c);\n let mid = (max+min)/2\n\n\n return mid; \n}","function h$ghcjsbn_add_bb(b1, b2) {\n ASSERTVALID_B(b1, \"add_bb b1\");\n ASSERTVALID_B(b2, \"add_bb b2\");\n var i, c = 0, l1 = b1[0], l2 = b2[0], t = [0];\n var bl, lmin, lmax;\n if(l1 <= l2) {\n lmin = l1;\n lmax = l2;\n bl = b2;\n } else {\n lmin = l2;\n lmax = l1;\n bl = b1;\n }\n for(i=1;i<=lmin;i++) {\n c += b1[i] + b2[i];\n t[i] = c & GHCJSBN_MASK;\n c >>= GHCJSBN_BITS;\n }\n for(i=lmin+1;i<=lmax;i++) {\n c += bl[i];\n t[i] = c & GHCJSBN_MASK;\n c >>= GHCJSBN_BITS;\n }\n if(c !== 0) t[++lmax] = c;\n t[0] = lmax;\n ASSERTVALID_B(t, \"add_bb result\");\n return t;\n}","function sumOfRangeClever (start, end, step = 1){\r\n\tvar array = [];\r\n\tvar sum = 0;\r\n\tfor (var i = start; i <= end; i++) {\r\n\t\tarray.push(i);\r\n\t}\r\n\t\r\n\tfor(var value of array){\r\n\t\tsum = sum + value;\r\n }\r\n\treturn ({\"array\": array, \"sum\": sum});\r\n}","function compareRangeBoundaryPoints(a, whichA, b, whichB) {\n var mode;\n\n if (whichA === \"start\" && whichB === \"start\") {\n // $FlowFixMe(mdr)\n mode = Range.START_TO_START;\n } else if (whichA === \"start\" && whichB === \"end\") {\n // NOTE(mdr): Confusingly, the correct constant here is actually\n // `END_TO_START`, which is the reverse of what you'd expect.\n // $FlowFixMe(mdr)\n mode = Range.END_TO_START;\n } else if (whichA === \"end\" && whichB === \"start\") {\n // NOTE(mdr): Confusingly, the correct constant here is actually\n // `START_TO_END`, which is the reverse of what you'd expect.\n // $FlowFixMe(mdr)\n mode = Range.START_TO_END;\n } else {\n // $FlowFixMe(mdr)\n mode = Range.END_TO_END;\n }\n\n return a.compareBoundaryPoints(mode, b);\n}","function Interval(left, right) {\n this.left = left;\n this.right = right\n }"],"string":"[\n \"function addTwo(range1, range2) {\\n if (range1.overlaps(range2, {adjacent: true})) {\\n var start = moment.min(range1.start, range2.start);\\n var end = moment.max(range1.end, range2.end);\\n var sum = moment.range(start, end);\\n return sum;\\n } else {\\n return null;\\n }\\n}\",\n \"addInterval(low, high, value){\\n const interval = new Interval(low, high, value);\\n this.intervals.insert(interval);\\n if(interval.high < this.minimumHigh) this.minimumHigh = interval.high;\\n if(interval.high > this.maximumHigh) this.maximumHigh = interval.high;\\n if(interval.high > this.high) this.high = interval.high;\\n }\",\n \"function createSubintervals(start, end, unit) {\\n var ints = makeIntervals(start, end, unit);\\n var collection = toPairs(ints);\\n completeInterval(collection, end);\\n collection = collection.concat(addLostIntervals(collection));\\n return collection;\\n}\",\n \"function sub_interval(x, y) {\\n return make_interval(\\n lower_bound(x) - lower_bound(y),\\n upper_bound(x) - upper_bound(y)\\n );\\n}\",\n \"add(range) {\\n return new SubRange(\\n Math.min(this.low, range.low),\\n Math.max(this.high, range.high)\\n );\\n }\",\n \"add(range) {\\n return new SubRange(Math.min((this || _global).low, range.low), Math.max((this || _global).high, range.high));\\n }\",\n \"function addRanges(range1, range2) {\\n const segments = [];\\n // consider all possible segment combinations\\n range1.forEach((segment1) => {\\n range2.forEach((segment2) => {\\n segments.push([segment1[0] + segment2[0], segment1[1] + segment2[1]]);\\n });\\n });\\n // join segments that overlap using the classic algorithm\\n segments.sort((segmentA, segmentB) => segmentA[0] - segmentB[0]);\\n const newRange = [];\\n let joinedSegment = segments[0].slice(0);\\n segments.slice(1).forEach((segment) => {\\n if (joinedSegment[1] >= segment[0]) {\\n joinedSegment[1] = Math.max(joinedSegment[1], segment[1]);\\n } else {\\n newRange.push(joinedSegment);\\n joinedSegment = segment.slice(0);\\n }\\n });\\n newRange.push(joinedSegment);\\n return newRange;\\n}\",\n \"function makeIntervals(start, end, unit) {\\n var r = moment.range(start, end);\\n return getInterval(unit, r);\\n}\",\n \"mergeIntervals (intervals)\\n {\\n if( intervals.length < 2 )\\n {\\n return intervals\\n }\\n\\n intervals.sort((a, b) => a.start - b.start);\\n\\n const merged = [];\\n\\n let start = intervals[0].start,\\n end = intervals[0].end;\\n\\n for (let i = 1; i < intervals.length; i++)\\n {\\n const interval = intervals[i];\\n if (interval.start <= end)\\n { // overlapping intervals, adjust the 'end'\\n end = Math.max(interval.end, end);\\n }\\n else\\n { // non-overlapping interval, add the previous interval and reset\\n merged.push(new Interval(start, end));\\n start = interval.start;\\n end = interval.end;\\n }\\n }\\n // add the last interval\\n merged.push(new Interval(start, end));\\n\\n return merged;\\n }\",\n \"function getRangeOverlap(first, second) {\\n const result = {\\n first: [],\\n second: [],\\n both: null\\n };\\n // Both\\n if (first[0] < second[1] && second[0] < first[1]) {\\n const start = Math.max(first[0], second[0]);\\n const end = Math.min(first[1], second[1]);\\n result.both = rangeOrIndividual(start, end);\\n }\\n // Before\\n if (first[0] < second[0]) {\\n const start = first[0];\\n const end = Math.min(second[0], first[1]);\\n result.first.push(rangeOrIndividual(start, end));\\n }\\n else if (second[0] < first[0]) {\\n const start = second[0];\\n const end = Math.min(second[1], first[0]);\\n result.second.push(rangeOrIndividual(start, end));\\n }\\n // After\\n if (first[1] > second[1]) {\\n const start = Math.max(first[0], second[1]);\\n const end = first[1];\\n result.first.push(rangeOrIndividual(start, end));\\n }\\n else if (second[1] > first[1]) {\\n const start = Math.max(first[1], second[0]);\\n const end = second[1];\\n result.second.push(rangeOrIndividual(start, end));\\n }\\n return result;\\n}\",\n \"function Interval(start, end) {\\n this.start = start\\n this.end = end\\n}\",\n \"insertInterval (intervals, new_interval)\\n {\\n const merged = [];\\n\\n let newStart = new_interval[0]\\n let newEnd = new_interval[1]\\n\\n let i = 0\\n while( i < intervals.length && intervals[i][1] <= newStart )\\n {\\n merged.push( intervals[i] )\\n i++\\n }\\n\\n if( intervals[i][1] === newStart )\\n {\\n newStart = intervals[i][0]\\n }\\n\\n while( i < intervals.length && intervals[i][0] <= newEnd )\\n {\\n newEnd = Math.max( newEnd, intervals[i][1] )\\n i++\\n }\\n\\n merged.push( [newStart, newEnd] )\\n\\n while( i < intervals.length )\\n {\\n merged.push( intervals[i] )\\n i++\\n }\\n\\n return merged;\\n }\",\n \"function Interval(start, end) {\\n this.start = start;\\n this.end = end;\\n}\",\n \"function Interval(start, end) {\\n this.start = start;\\n this.end = end;\\n}\",\n \"function Interval(start, end) {\\n this.start = start;\\n this.end = end;\\n }\",\n \"function mulInterval(x, y) {\\n const p1 = lowerBound(x) * lowerBound(y);\\n const p2 = lowerBound(x) * upperBound(y);\\n const p3 = upperBound(x) * lowerBound(y);\\n const p4 = upperBound(x) * upperBound(y);\\n return makeInterval(Math.min(p1, p2, p3, p4), Math.max(p1, p2, p3, p4));\\n}\",\n \"findIntersection (intervals_a, intervals_b)\\n {\\n const result = [];\\n\\n let aIndex = 0, bIndex = 0\\n\\n while( aIndex < intervals_a.length && bIndex < intervals_b.length )\\n {\\n const aStart = intervals_a[aIndex][0],\\n aEnd = intervals_a[aIndex][1],\\n bStart = intervals_b[bIndex][0],\\n bEnd = intervals_b[bIndex][1]\\n\\n if( bStart <= aEnd && aStart <= bEnd )\\n {\\n result.push( [Math.max(aStart, bStart), Math.min(aEnd, bEnd)] )\\n aIndex++\\n }\\n else if( aStart <= bEnd && bStart <= aEnd )\\n {\\n result.push( [Math.max(aStart, bStart), Math.min(aEnd, bEnd)] )\\n bIndex++\\n }\\n\\n if( aEnd < bStart )\\n {\\n aIndex++\\n }\\n else if( bEnd < aStart )\\n {\\n bIndex++\\n }\\n }\\n\\n return result;\\n}\",\n \"function addInterval(list, newInt){\\n if(!list || !newInt) return 'please provide a list and a new list.'\\n let newList = [];\\n var holder = [null,null];\\n var intGreaterThenNew = false;\\n\\n list.forEach(int => {\\n let temp = [];\\n if(holder[0]){\\n temp[0] = holder;\\n } else {\\n temp[0] = newInt[0];\\n }\\n if(holder[1]){\\n temp[1] = holder[1];\\n } else {\\n temp[1] = newInt[1];\\n }\\n if(temp[0] > int[1]){\\n newList.push(int); //new Interval is greater then both parts of the other\\n }\\n if(temp[0] <= int[1]){\\n if(temp[0] <= int[0]){\\n if(temp[1] > int[1]){\\n //larger of new interval is larger then larger of current interval\\n holder[1] = newInt [1];\\n }\\n if(temp[1] <= int[1]){\\n if(temp[1] <= int[0]){ //new Interval is less then both parts of this interval\\n if(temp[0] && temp[1]) {\\n newList.push(temp);\\n }\\n newList.push(int);\\n intGreaterThenNew = true;\\n return\\n }\\n //larger of newinterval is less then larger of current interval;\\n holder[1] = int[1];\\n }\\n //newInt min is less then current interval min\\n holder[0] = newInt[1];\\n }\\n //newInt min is less less then current int max but not less then its min.\\n holder[0] = int[0];\\n }\\n })\\n if(!intGreaterThenNew) newList.push(holder);\\n return newList;\\n}\",\n \"function IntervalPacker(lowerBoundToInt, upperBoundToInt, options) {\\n options = options || {};\\n\\n this._lowerBoundToInt = lowerBoundToInt;\\n this._upperBoundToInt = upperBoundToInt;\\n this._minGap = options.minGap || 0;\\n\\n}\",\n \"function intervalDistance(minA, maxA, minB, maxB)\\n{\\n if (minA < minB)\\n {\\n return minB - maxA;\\n }\\n\\n else return minA - maxB;\\n}\",\n \"function rangeIntersection(a, b) {\\n if (a[0] > b[1])\\n return null;\\n if (a[1] < b[0])\\n return null;\\n // We know they intersect, result is the larger lower bound to the smaller\\n // upper bound.\\n return [Math.max(a[0], b[0]), Math.min(a[1], b[1])];\\n}\",\n \"function unionRanges(a, b) {\\n if (!rangesOverlap(a, b)) {\\n return null;\\n } // Find the range with the earliest start point, and the range with the\\n // latest end point.\\n\\n\\n var starter = compareRangeBoundaryPoints(a, \\\"start\\\", b, \\\"start\\\") < 0 ? a : b;\\n var ender = compareRangeBoundaryPoints(a, \\\"end\\\", b, \\\"end\\\") > 0 ? a : b;\\n return spanRanges(starter, ender);\\n}\",\n \"function validateStartEnd(start, end) {\\n if (!start || !start.isValid) {\\n return Interval.invalid(\\\"missing or invalid start\\\");\\n } else if (!end || !end.isValid) {\\n return Interval.invalid(\\\"missing or invalid end\\\");\\n } else if (end < start) {\\n return Interval.invalid(\\\"end before start\\\", \\\"The end of an interval must be after its start, but you had start=\\\" + start.toISO() + \\\" and end=\\\" + end.toISO());\\n } else {\\n return null;\\n }\\n }\",\n \"function intervalContainsInterval(interval1, interval2) {\\n\\t\\t\\treturn interval1.start <= interval2.start && interval2.end <= interval1.end;\\n\\t\\t}\",\n \"function validateStartEnd(start, end) {\\n if (!start || !start.isValid) {\\n return Interval.invalid(\\\"missing or invalid start\\\");\\n } else if (!end || !end.isValid) {\\n return Interval.invalid(\\\"missing or invalid end\\\");\\n } else if (end < start) {\\n return Interval.invalid(\\\"end before start\\\", \\\"The end of an interval must be after its start, but you had start=\\\" + start.toISO() + \\\" and end=\\\" + end.toISO());\\n } else {\\n return null;\\n }\\n}\",\n \"function validateStartEnd(start, end) {\\n if (!start || !start.isValid) {\\n return Interval.invalid(\\\"missing or invalid start\\\");\\n } else if (!end || !end.isValid) {\\n return Interval.invalid(\\\"missing or invalid end\\\");\\n } else if (end < start) {\\n return Interval.invalid(\\\"end before start\\\", \\\"The end of an interval must be after its start, but you had start=\\\" + start.toISO() + \\\" and end=\\\" + end.toISO());\\n } else {\\n return null;\\n }\\n}\",\n \"function validateStartEnd(start, end) {\\n if (!start || !start.isValid) {\\n return Interval.invalid(\\\"missing or invalid start\\\");\\n } else if (!end || !end.isValid) {\\n return Interval.invalid(\\\"missing or invalid end\\\");\\n } else if (end < start) {\\n return Interval.invalid(\\\"end before start\\\", \\\"The end of an interval must be after its start, but you had start=\\\" + start.toISO() + \\\" and end=\\\" + end.toISO());\\n } else {\\n return null;\\n }\\n}\",\n \"function validateStartEnd(start, end) {\\n if (!start || !start.isValid) {\\n return Interval.invalid(\\\"missing or invalid start\\\");\\n } else if (!end || !end.isValid) {\\n return Interval.invalid(\\\"missing or invalid end\\\");\\n } else if (end < start) {\\n return Interval.invalid(\\\"end before start\\\", \\\"The end of an interval must be after its start, but you had start=\\\" + start.toISO() + \\\" and end=\\\" + end.toISO());\\n } else {\\n return null;\\n }\\n}\",\n \"function unionRanges(a, b) {\\n\\t if (!rangesOverlap(a, b)) {\\n\\t return null;\\n\\t }\\n\\n\\t // Find the range with the earliest start point, and the range with the\\n\\t // latest end point.\\n\\t var starter = compareRangeBoundaryPoints(a, \\\"start\\\", b, \\\"start\\\") < 0 ? a : b;\\n\\t var ender = compareRangeBoundaryPoints(a, \\\"end\\\", b, \\\"end\\\") > 0 ? a : b;\\n\\n\\t return spanRanges(starter, ender);\\n\\t}\",\n \"function sumIntervals(intervals) {\\n let sum = 0;\\n intervals = intervals.sort(sortFunction);\\n\\n function sortFunction(a, b) { // Сортировка по первому столбцу\\n if (a[0] === b[0]) {\\n return 0;\\n } else {\\n return (a[0] < b[0]) ? -1 : 1;\\n }\\n }\\n\\n sum += intervals[0][1] - intervals[0][0];\\n let max = intervals[0][1];\\n for (let key = 1; key < intervals.length; key++) {\\n if (intervals[key][1] <= max) {\\n // nothing\\n } else if (intervals[key][1] >= intervals[key - 1][1] && intervals[key][0] <= intervals[key - 1][1]) {\\n sum += intervals[key][1] - intervals[key - 1][1];\\n max = intervals[key][1];\\n } else {\\n sum += intervals[key][1] - intervals[key][0];\\n max = intervals[key][1];\\n }\\n }\\n return sum;\\n}\",\n \"_commonIntervalLength(i1start, i1end, i2start, i2end) {\\n if (i1end < i2start || i2end < i1start) {\\n return 0;\\n }\\n return Math.min(i1end, i2end) - Math.max(i1start, i2start);\\n }\",\n \"function validateStartEnd(start, end) {\\n if (!start || !start.isValid) {\\n return Interval.invalid(\\\"missing or invalid start\\\");\\n } else if (!end || !end.isValid) {\\n return Interval.invalid(\\\"missing or invalid end\\\");\\n } else if (end < start) {\\n return Interval.invalid(\\\"end before start\\\", `The end of an interval must be after its start, but you had start=${start.toISO()} and end=${end.toISO()}`);\\n } else {\\n return null;\\n }\\n}\",\n \"function validateStartEnd(start, end) {\\n if (!start || !start.isValid) {\\n return Interval.invalid(\\\"missing or invalid start\\\");\\n } else if (!end || !end.isValid) {\\n return Interval.invalid(\\\"missing or invalid end\\\");\\n } else if (end < start) {\\n return Interval.invalid(\\\"end before start\\\", `The end of an interval must be after its start, but you had start=${start.toISO()} and end=${end.toISO()}`);\\n } else {\\n return null;\\n }\\n}\",\n \"function getSum( a,b ) {\\n let min = Math.min(a,b);\\n let max = Math.max(a,b);\\n let sum = 0;\\n if (min >= 0) {\\n while (max-min >= 1) {\\n sum = sum + max;\\n max--;\\n }\\n } else if (min < 0) {\\n while (-min-max >= 1) {\\n sum += max;\\n max--;\\n }\\n }\\n\\n \\n \\n console.log(min, max, sum)\\n \\n return;\\n}\",\n \"function createIntervals(data) {\\n var newArr = [];\\n var start = Math.min(...data);\\n var end = 0;\\n var max = Math.max(...data);\\n var i = start;\\n while (i <= max) {\\n //find end of interval\\n while ( data.includes(i + 1) && i <= max) {\\n i++;\\n }\\n end = i;\\n newArr.push([start, end]);\\n i++;\\n //find new start\\n while ( !data.includes(i) && i <= max ) {\\n i++;\\n }\\n start = i;\\n }\\n return newArr;\\n}\",\n \"function extendRange(range_arr, extend_coef) {\\n var max = range_arr[1];\\n var min = range_arr[0];\\n max = max + Math.abs(max) * extend_coef;\\n min = min - Math.abs(min) * extend_coef;\\n var extended_arr = [min, max];\\n return extended_arr;\\n\\n}\",\n \"function MultiInterval(intervals, isClone) {\\n // Not very nice but it is hard to clone in js\\n if (isClone) {\\n this.intervals = [...intervals];\\n return this;\\n }\\n if (!Array.isArray(intervals) || intervals.length === 0) {\\n this.intervals = [];\\n return this;\\n }\\n this.intervals = [];\\n var checkedIntervals = [];\\n // So we can check interval\\n var intervalConstructor = interval(0, 1).constructor;\\n for (let myInterval of intervals) {\\n if (!myInterval instanceof intervalConstructor) {\\n this.intervals = [];\\n return this;\\n }\\n if (!myInterval.empty) {\\n checkedIntervals.push(myInterval.clone());\\n }\\n }\\n\\n checkedIntervals.sort((i1, i2) => i1.start - i2.start);\\n\\n // Now we need to coalesce intervals if needed\\n let nextInterval = null;\\n for (let myInterval of checkedIntervals) {\\n if (nextInterval === null) {\\n nextInterval = myInterval;\\n } else {\\n if (!nextInterval.intersect(myInterval).empty) {\\n nextInterval.coalesceInPlace(myInterval);\\n } else {\\n this.intervals.push(nextInterval.start, nextInterval.end);\\n nextInterval = myInterval;\\n }\\n }\\n }\\n if (nextInterval) {\\n this.intervals.push(nextInterval.start, nextInterval.end);\\n }\\n return this;\\n}\",\n \"function insertInterval(arr, newInterval) {\\n let intervals = arr; \\n let reverseSortedIntervals = [];\\n let newInt = newInterval; \\n\\n if (intervals.length < 1) {\\n return [newInterval]\\n }\\n\\n if (intervals.length === 1) {\\n if (newInterval[0] < intervals[0][0]) {\\n let newSecondInterval = intervals[0];\\n intervals.pop();\\n intervals.push(newInterval);\\n intervals.push(newSecondInterval);\\n } else {\\n intervals.push(newInterval);\\n }\\n }\\n\\n // we sort the intervals array from latest end time to earliest end time, \\n // inserting the new interval whenever appropriate.\\n // big O of this part is O(n) due to us having to push into the \\n // reverseSortedIntervals arr n times.\\n while (intervals.length> 0) {\\n if (newInt !== null) {\\n // if the new interval start time is less than the 1st entry in the\\n // intervals array, it is pushed into the reverseSortedIntervals \\n // array first\\n if (newInt[0]>=intervals[intervals.length-1][0]) {\\n reverseSortedIntervals.push(newInt);\\n newInt = null;\\n } else {\\n reverseSortedIntervals.push(intervals.pop());\\n }\\n } else {\\n reverseSortedIntervals.push(intervals.pop());\\n }\\n }\\n\\n intervals = reverseSortedIntervals;\\n let mergedIntervals = [];\\n\\n // bigO = O(n)\\n while (intervals.length > 1) {\\n let intervalA = intervals[intervals.length-1];\\n let intervalB = intervals[intervals.length-2];\\n\\n // if end time of intervalA is greater than the start time of interval B, \\n // we have overlap\\n if (intervalB[0] < intervalA[1]) {\\n // get the endTime of new merged interval\\n let endTime = Math.max(intervalA[1], intervalB[1]);\\n\\n // replace intervalB value with the value of the new merged interval\\n intervalB = [intervalA[0], endTime];\\n\\n // replace the old value of intervalB in the intervals array with the \\n // new interval B \\n intervals[intervals.length-2] = intervalB;\\n\\n // pop off intervalA from the intervals array\\n intervals.pop();\\n } else {\\n // we do not have overlap, so we pop off the end value in intervals \\n // and push it into mergedIntervals\\n mergedIntervals.push(intervals.pop())\\n }\\n }\\n\\n // at this point the length of the intervals array is just one, so we just pop\\n // it into the merged intervals array \\n mergedIntervals.push(intervals.pop());\\n\\n return mergedIntervals\\n}\",\n \"function GetSum( a,b ) {\\n let min = Math.min(a,b)\\n let max = Math.max(a,b)\\n \\n let total = 0\\n \\n for(let i = min; i <= max; i++){\\n total += i\\n }\\n return total\\n }\",\n \"function mergeRange(ranges, newRangeStart, newRangeEnd) {\\n let inRange = false;\\n for (let i = 0; i < ranges.length; i++) {\\n const range = ranges[i];\\n if (!inRange) {\\n if (newRangeEnd <= range[0]) {\\n // Case 1: New range is before the search range\\n ranges.splice(i, 0, [newRangeStart, newRangeEnd]);\\n return ranges;\\n }\\n else if (newRangeEnd <= range[1]) {\\n // Case 2: New range is either wholly contained within the\\n // search range or overlaps with the front of it\\n range[0] = Math.min(newRangeStart, range[0]);\\n return ranges;\\n }\\n else if (newRangeStart < range[1]) {\\n // Case 3: New range either wholly contains the search range\\n // or overlaps with the end of it\\n range[0] = Math.min(newRangeStart, range[0]);\\n inRange = true;\\n }\\n else {\\n // Case 4: New range starts after the search range\\n continue;\\n }\\n }\\n else {\\n if (newRangeEnd <= range[0]) {\\n // Case 5: New range extends from previous range but doesn't\\n // reach the current one\\n ranges[i - 1][1] = newRangeEnd;\\n return ranges;\\n }\\n else if (newRangeEnd <= range[1]) {\\n // Case 6: New range extends from prvious range into the\\n // current range\\n ranges[i - 1][1] = Math.max(newRangeEnd, range[1]);\\n ranges.splice(i, 1);\\n inRange = false;\\n return ranges;\\n }\\n else {\\n // Case 7: New range extends from previous range past the\\n // end of the current range\\n ranges.splice(i, 1);\\n i--;\\n }\\n }\\n }\\n if (inRange) {\\n // Case 8: New range extends past the last existing range\\n ranges[ranges.length - 1][1] = newRangeEnd;\\n }\\n else {\\n // Case 9: New range starts after the last existing range\\n ranges.push([newRangeStart, newRangeEnd]);\\n }\\n return ranges;\\n}\",\n \"insert(low, high, value){\\n // Validate input interval\\n low = IntervalTree.validate(low, \\\"Low bound\\\", false);\\n high = IntervalTree.validate(high, \\\"High bound\\\", false);\\n if(high < low) throw new RangeError(\\n `Invalid interval [${low}, ${high}]. ` + \\n \\\"The high bound must be greater than or equal to the low bound.\\\"\\n );\\n // Handle the case where the tree is currently empty\\n if(!this.root){\\n this.root = new IntervalTreeNode(\\n this.valuesEqual, low, high, null, Black\\n );\\n this.root.addInterval(low, high, value);\\n return this.root;\\n }\\n // Otherwise, search for the place where this interval should be added\\n let node = this.root;\\n while(true){\\n if(low < node.low){\\n if(node.left){\\n node = node.left;\\n }else{ // Add the interval to a new left child of this node\\n node.addLeftChild(this, low, high, value);\\n break;\\n }\\n }else if(low > node.low){\\n if(node.right){\\n node = node.right;\\n }else{ // Add the interval to a new right child of this node\\n node.addRightChild(this, low, high, value);\\n break;\\n }\\n }else{\\n // Add the interval to this node (same low boundary)\\n node.addInterval(low, high, value);\\n node.addIntervalUpdateLimits();\\n break;\\n }\\n }\\n }\",\n \"function intersectRanges(a, b) {\\n\\t if (!rangesOverlap(a, b)) {\\n\\t return null;\\n\\t }\\n\\n\\t // Find the range with the latest start point, and the range with the\\n\\t // earliest end point.\\n\\t var starter = compareRangeBoundaryPoints(a, \\\"start\\\", b, \\\"start\\\") > 0 ? a : b;\\n\\t var ender = compareRangeBoundaryPoints(a, \\\"end\\\", b, \\\"end\\\") < 0 ? a : b;\\n\\n\\t return spanRanges(starter, ender);\\n\\t}\",\n \"function intersectRanges(a, b) {\\n if (!rangesOverlap(a, b)) {\\n return null;\\n } // Find the range with the latest start point, and the range with the\\n // earliest end point.\\n\\n\\n var starter = compareRangeBoundaryPoints(a, \\\"start\\\", b, \\\"start\\\") > 0 ? a : b;\\n var ender = compareRangeBoundaryPoints(a, \\\"end\\\", b, \\\"end\\\") < 0 ? a : b;\\n return spanRanges(starter, ender);\\n}\",\n \"addRange(high, low, mid) {\\n this.range.push({\\n 'high': high,\\n 'low': low,\\n 'mid': mid,\\n })\\n //return this.range\\n }\",\n \"function rangesOverlap(a_start, a_end, b_start, b_end) {\\n if (a_start <= b_start && b_start <= a_end) return true; // b starts in a\\n if (a_start <= b_end && b_end <= a_end) return true; // b ends in a\\n if (b_start < a_start && a_end < b_end) return true; // a in b\\n return false;\\n}\",\n \"calcIntervals()\\n {\\n let intervals = [];\\n\\n this.choices.reduce(\\n function(p, c) {\\n intervals.push(\\n ((p && p.weight) || 0) +\\n ((c && c.weight) || 0)\\n );\\n },\\n null\\n );\\n\\n intervals = intervals.map(function(cur, idx, array) {\\n return cur + array.slice(0,idx).reduce((p, c) => p + c, 0);\\n });\\n\\n this.intervals = intervals;\\n this.maxInterval = intervals[intervals.length - 1];\\n }\",\n \"function sumRange(start, end) { \\n let myArr = [];\\n for (let i = start; i <= end; i++)\\n myArr.push(i);\\n return myArr.reduce(function(a, b){\\n return a + b; \\n });\\n}\",\n \"function GetSum( a,b )\\n{\\n if (a === b) return a; else {\\n let min,max; let out = 0;\\n if (a < b) {min = a; max = b;} else {min = b; max = a}\\n out = 0;\\n\\n for (let i = 0; i < Math.abs(max - min); i++){\\n out += max - i;\\n }\\n return out + min;\\n }\\n}\",\n \"function computeSumBetween(num1, num2) {\\n var rangeArray = [];\\n var sumResult = 0;\\n\\n if (num1 < num2) {\\n for (var i = num1; i < num2; i++) {\\n rangeArray.push(i);\\n }\\n\\n for (var i = 0; i < rangeArray.length; i++) {\\n sumResult += rangeArray[i];\\n }\\n\\n return sumResult;\\n\\n } else {\\n return 0;\\n }\\n\\n}\",\n \"function sumIntervals(intervals){ \\n var removedSomething = false;\\n //Keep reducing the list until no more elements are removed\\n while(true)\\n {\\n removedSomething = false;\\n //ensure that intervals are always sorted based where they start\\n intervals.sort(function(a, b){return a[0]-b[0]});\\n \\n for(var i = 0; i < intervals.length-1; i++)\\n {\\n var current = intervals[i];\\n var next = intervals[i+1];\\n \\n //if the 'next' range is 100% nested within 'current' range. Remove next without tracking it.\\n if(next[0] >= current[0] && next[1] <= current[1])\\n { \\n removedSomething = true;\\n intervals.splice(i+1,1);\\n continue;\\n }\\n \\n //Check if the end of the current range would step into the next range. Then merge and remove next.\\n if(current[1] >= next[0])\\n {\\n removedSomething = true;\\n current[1] = next[1];\\n intervals.splice(i+1,1);\\n }\\n }\\n \\n if(!removedSomething) break;\\n }\\n \\n var sum = 0;\\n for(var interval of intervals) sum += interval[1] - interval[0];\\n return sum;\\n}\",\n \"function range(start, end) {\\n start = Number(start) || 0;\\n if (end === undefiend) {\\n return function getEnd(end) {\\n return getRange(start, end);\\n }\\n } else {\\n end = Number(end) || 0;\\n return getRange(start, end);\\n }\\n function getRange(start, end) {\\n let ret = [];\\n for (let i = start; i <= end; i++) {\\n ret.push(i);\\n }\\n return ret;\\n }\\n}\",\n \"function sumIntervals(intervals) {\\n let result = 0;\\n intervals.sort((a, b) => a[0] - b[0]);\\n for (let i = 0; i < intervals.length; i++){\\n let restIntervals = intervals.slice(i+1, intervals.length);\\n for (let j = 0; j < restIntervals.length; j++){\\n let secondInterval = restIntervals[j];\\n if (intervals[i][1] > secondInterval[0]){\\n let newInterval = [intervals[i][0], Math.max(intervals[i][1], secondInterval[1])];\\n intervals[i] = [...newInterval];\\n restIntervals[j] = [...newInterval];\\n intervals.splice(i+1, 1);\\n }\\n }\\n result += intervals[i][1] - intervals[i][0];\\n };\\n return result;\\n}\",\n \"function combineRanges(ranges){var ordered=ranges.map(mapWithIndex).sort(sortByRangeStart);for(var j=0,i=1;i<ordered.length;i++){var range=ordered[i];var current=ordered[j];if(range.start>current.end+1){// next range\\nordered[++j]=range;}else if(range.end>current.end){// extend range\\ncurrent.end=range.end;current.index=Math.min(current.index,range.index);}}// trim ordered array\\nordered.length=j+1;// generate combined range\\nvar combined=ordered.sort(sortByRangeIndex).map(mapWithoutIndex);// copy ranges type\\ncombined.type=ranges.type;return combined;}\",\n \"function getSum(a,b) {\\n let arrayOfNumbers = [];\\n\\n const min = (a <= b) ? a : b;\\n const max = (a <= b) ? b : a;\\n\\n for (var item = min; item <= max; item++) {\\n arrayOfNumbers = [...arrayOfNumbers, item];\\n }\\n\\n const sum = arrayOfNumbers.reduce((total, item) => total + item);\\n return sum;\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function between(num, bound1, bound2){\\n return (((bound1 >= num) && (bound2 <= num)) || ((bound1 <= num) && (bound2 >= num)))\\n}\",\n \"function spanRanges(a, b) {\\n\\t var range = a.cloneRange();\\n\\t range.setEnd(b.endContainer, b.endOffset);\\n\\t return range;\\n\\t}\",\n \"function Interval(start, stop) {\\n\\tthis.start = start;\\n\\tthis.stop = stop;\\n\\treturn this;\\n}\",\n \"function Interval(start, stop) {\\n\\tthis.start = start;\\n\\tthis.stop = stop;\\n\\treturn this;\\n}\",\n \"function spanRanges(a, b) {\\n var range = a.cloneRange();\\n range.setEnd(b.endContainer, b.endOffset);\\n return range;\\n}\",\n \"function addInterval(bpms, newInterval, numIntervals) {\\n\\t\\tbpms.push(newInterval);\\n\\t\\tif (bpms.length > numIntervals) {\\n\\t\\t\\tbpms.shift();\\n\\t\\t}\\n\\t\\treturn bpms;\\n\\t}\",\n \"function range(x, y, result = []) {\\r\\n let min = Math.min(x, y);\\r\\n let max = Math.max(x, y);\\r\\n if (min === max) {\\r\\n result.push(min);\\r\\n return result;\\r\\n }\\r\\n result.push(min);\\r\\n min++;\\r\\n return range(min, max, result);\\r\\n}\",\n \"function between(a, b) {\\n // your code here\\n let array = []\\n let min = Math.min(a,b)\\n let max = Math.max(a,b)\\n for(let i=min; i<=max; i++){\\n array.push(i)\\n }\\n return array\\n\\n}\",\n \"function updateRange(lo, hi, values, add) {\\n let ranges = settings.process.ranges;\\n let slices = {};\\n let min = lo;\\n let max = hi;\\n\\n // special case for belt loops which should not be flattened\\n if (values.outputLoops) {\\n ranges.push({\\n lo, hi, fields: values\\n });\\n api.conf.update_fields(settings.process);\\n api.show.alert(\\\"update ranges\\\", 2);\\n api.event.emit(\\\"range.updates\\\", ranges);\\n return;\\n }\\n\\n // just remove values from matching ranges\\n if (!add) {\\n for (let range of getOverlappingRanges(lo, hi)) {\\n for (let key of Object.keys(values)) {\\n delete range.fields[key];\\n }\\n if (Object.keys(range.fields).length === 0) {\\n let pos = ranges.indexOf(range);\\n if (pos >= 0) {\\n ranges.splice(pos,1);\\n }\\n }\\n }\\n api.event.emit(\\\"range.updates\\\", ranges);\\n return;\\n }\\n\\n // set aside belt loops and re-append later\\n // since we do not want to collapse/merge loops\\n let exclude = ranges.filter(r => r.fields.outputLoops);\\n ranges = ranges.filter(r => !r.fields.outputLoops);\\n\\n // flatten ranges\\n ranges.push({lo, hi, fields: values});\\n for (let range of ranges) {\\n min = Math.min(range.lo, min);\\n max = Math.max(range.hi, max);\\n for (let i=range.lo; i<=range.hi; i++) {\\n let slice = slices[i];\\n if (!slice) {\\n slice = slices[i] = {};\\n }\\n for (let [key,val] of Object.entries(range.fields)) {\\n slice[key] = val;\\n }\\n }\\n }\\n\\n // merge contiguous matching ranges\\n ranges = settings.process.ranges = [];\\n let range;\\n for (let i=min; i<=max; i++) {\\n let slice = slices[i];\\n if (slice && !range) {\\n range = {lo: i, hi: i, fields: slice};\\n } else if (slice && range && areEqual(range.fields, slice)) {\\n range.hi = i;\\n } else if (range) {\\n ranges.push(range);\\n if (slice) {\\n range = {lo: i, hi: i, fields: slice};\\n } else {\\n range = undefined;\\n }\\n }\\n }\\n\\n ranges.push(range);\\n ranges.appendAll(exclude);\\n\\n api.conf.update_fields(settings.process);\\n api.show.alert(\\\"update ranges\\\", 2);\\n api.event.emit(\\\"range.updates\\\", ranges);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\r\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\r\\n }\",\n \"function Interval(min, max) {\\n this.min = min;\\n this.max = max;\\n if (max < min) {\\n throw new Error('max less than min');\\n }\\n }\",\n \"function validateStartEnd(start, end) {\\n if (!start || !start.isValid) {\\n return new Invalid(\\\"missing or invalid start\\\");\\n } else if (!end || !end.isValid) {\\n return new Invalid(\\\"missing or invalid end\\\");\\n } else if (end < start) {\\n return new Invalid(\\\"end before start\\\", \\\"The end of an interval must be after its start, but you had start=\\\" + start.toISO() + \\\" and end=\\\" + end.toISO());\\n } else {\\n return null;\\n }\\n}\",\n \"function intersection(range1, range2) {\\n var start1 = _Type__WEBPACK_IMPORTED_MODULE_0__[\\\"getValue\\\"](range1.start);\\n var start2 = _Type__WEBPACK_IMPORTED_MODULE_0__[\\\"getValue\\\"](range2.start);\\n var end1 = _Type__WEBPACK_IMPORTED_MODULE_0__[\\\"getValue\\\"](range1.end);\\n var end2 = _Type__WEBPACK_IMPORTED_MODULE_0__[\\\"getValue\\\"](range2.end);\\n var startMax = Math.max(start1, start2);\\n var endMin = Math.min(end1, end2);\\n if (endMin < startMax) {\\n return undefined;\\n }\\n else {\\n return { start: startMax, end: endMin };\\n }\\n}\",\n \"function rangeOrIndividual(start, end) {\\n if (end - start === 1) {\\n return start;\\n }\\n else {\\n return [start, end];\\n }\\n}\",\n \"function intervalOutside(firstInterval, secondInterval) {\\n const future = firstInterval[0] > secondInterval[1] && firstInterval[1] > secondInterval[1];\\n const past = firstInterval[0] < secondInterval[0] && firstInterval[1] < secondInterval[0];\\n return future || past;\\n}\",\n \"function sumAll1(arr) {\\n let max = Math.max(arr[0], arr[1]);\\n let min = Math.min(arr[0], arr[1]);\\n let sumBetween = 0;\\n for (let i = min; i <= max; i++) {\\n sumBetween += i;\\n }\\n return sumBetween;\\n}\",\n \"extendToCover(min, max) {\\r\\n let x = this.min;\\r\\n while (min < x) {\\r\\n x = DateTimeSequence.ADD_INTERVAL(x, -this.interval, this.unit);\\r\\n this.sequence.splice(0, 0, x);\\r\\n }\\r\\n this.min = x;\\r\\n x = this.max;\\r\\n while (x < max) {\\r\\n x = DateTimeSequence.ADD_INTERVAL(x, this.interval, this.unit);\\r\\n this.sequence.push(x);\\r\\n }\\r\\n this.max = x;\\r\\n }\",\n \"function SimpleInterval(a, b) {\\n if (!(a instanceof SimpleFloat) || !(b instanceof SimpleFloat) || a.add(b.negate()).sign() > 0) {\\n throw new TypeError();\\n }\\n this.a = a;\\n this.b = b;\\n}\",\n \"function GetSum( a, b ) {\\n var list = [];\\n \\n if ( a < b ) {\\n for(var i = a; i <= b; i++) {\\n list.push(i);\\n }\\n }\\n \\n else {\\n for(var i = b; i <= a; i++) {\\n list.push(i);\\n }\\n }\\n \\n // ES6 to the rescue\\n var sum = list.reduce((a, b) => a + b);\\n return sum; \\n}\",\n \"function __WEBPACK_DEFAULT_EXPORT__(range, min, max) {\\n var lo = range[0],\\n hi = range[1],\\n span;\\n\\n if (hi < lo) {\\n span = hi;\\n hi = lo;\\n lo = span;\\n }\\n span = hi - lo;\\n\\n return span >= (max - min)\\n ? [min, max]\\n : [\\n (lo = Math.min(Math.max(lo, min), max - span)),\\n lo + span\\n ];\\n}\",\n \"constructor(interval_start, interval_end) {\\n if (!(interval_start instanceof Date && interval_end instanceof Date)) {\\n errorLog('Error: Attempted to construct interval object with non-Date parameters.');\\n }\\n\\n this.start = !!interval_start && interval_start instanceof Date ? interval_start.getTime() : interval_start;\\n this.end = !!interval_end && interval_end instanceof Date ? interval_end.getTime() : interval_end;\\n }\",\n \"function rangeRad(a,b){\\n var min = Math.min.apply(Math, [a, b]);\\n var max = Math.max.apply(Math, [a, b]);\\n console.log('min ' + min + ' max '+max);\\n return this > min && this < max;\\n }\",\n \"function intervalChoice(a, interval) {\\n\\n // filter numbers\\n var numbers = interval.filter(function(a) { return typeof a === 'number'; });\\n\\n // get interval limits\\n var amin = numbers[0];\\n var amax = numbers[numbers.length - 1];\\n\\n // capture numbers beyond interval limits\\n interval.unshift(-Infinity);\\n interval.push(Infinity);\\n\\n // iterate over the interval, to find the function\\n // that corresponds to our value 'a'\\n var n = interval.length - 1;\\n for(var i = 1; i < n; i++) {\\n if(typeof interval[i] === 'function') {\\n var abot = interval[i - 1];\\n var afun = interval[i];\\n var atop = interval[i + 1];\\n if(abot <= a && a < atop) {\\n return afun(a, abot, atop);\\n }\\n }\\n }\\n}\",\n \"function Interval(start, stop) {\\n _classCallCheck(this, Interval);\\n\\n this.start = start;\\n this.stop = stop;\\n }\",\n \"function range(start, end) {\\n //Input sanitization\\n if (!start && !end) return \\\"Please provide both start and end points\\\";\\n if (!end) return \\\"Please provide an endpoint\\\";\\n if (isNaN(start) || isNaN(end))\\n return \\\"Both start and end points must be numbers\\\";\\n\\n let arr = [];\\n while (start <= end) {\\n arr.push(start);\\n start++;\\n }\\n return arr;\\n}\",\n \"function intervalHelper(intervals, time) {\\n var applicable = [];\\n var next = Number.POSITIVE_INFINITY;\\n for (var i = 0; i < intervals.length; i++) {\\n var interval = intervals[i];\\n var valid = true;\\n if (interval.start) {\\n valid = valid && interval.start <= time;\\n if (interval.start > time && interval.start < next) {\\n next = interval.start;\\n }\\n }\\n if (interval.end) {\\n valid = valid && interval.end >= time;\\n if (valid && interval.end < next) {\\n next = interval.end + 1;\\n }\\n }\\n if (valid) {\\n applicable.push(interval.name);\\n }\\n }\\n next = next === Number.POSITIVE_INFINITY ? undefined : next;\\n return { configs: applicable, next: next };\\n }\",\n \"function range(start, end) {\\n if ((start && end) || end == 0) {\\n let result = [];\\n for (i = start; i <= end; i++) {\\n result.push(i);\\n }\\n return result;\\n }\\n\\n if (arguments[1] === undefined) {\\n return function rangeTill(end) {\\n let result = [];\\n for (i = start; i <= end; i++) {\\n result.push(i);\\n }\\n return result;\\n };\\n }\\n}\",\n \"function within(min1, max1, min2, max2) {\\n return (min1 <= max2 && max1 >= min2);\\n}\",\n \"function getSum( a,b )\\r\\n {\\r\\n let max = Math.max(a,b);\\r\\n let min = Math.min(a,b);\\r\\n let sum =0;\\r\\n if(a===b){\\r\\n return a;\\r\\n }else{\\r\\n for(let i =min ; i <= max ; i++) {\\r\\n sum +=i;\\r\\n }\\r\\n }\\r\\n return sum;\\r\\n \\r\\n }\",\n \"function getSumOf(lowerBound, higherBound) {\\n if (lowerBound >= higherBound) {\\n return 0;\\n }\\n\\n let finalResult = 0;\\n\\n for (let i = lowerBound; i <= higherBound; i++) {\\n finalResult += i;\\n }\\n\\n return finalResult;\\n}\",\n \"function makeBetweenFunc(min, max) {\\n return function (num) {\\n return num >= min && num <= max;\\n };\\n}\",\n \"function overlaps (min1, max1, min2, max2)\\n\\t{\\n\\t\\treturn is_between (min2, min1, max1) || is_between (min1, min2, max2);\\n\\t}\",\n \"function makeBetweenFunc(min, max) {\\n return function(value) {\\n return value >= min && value <= max;\\n }\\n}\",\n \"function Interval(data, id, s, e) {\\n\\t this.id = id;\\n\\t this.start = data[s];\\n\\t this.end = data[e];\\n\\t this.data = data;\\n\\n\\t if (typeof this.start != 'number' || typeof this.end != 'number') {\\n\\t throw new Error('start, end must be number. start: ' + this.start + ', end: ' + this.end);\\n\\t }\\n\\n\\t if (this.start >= this.end) {\\n\\t throw new Error('start must be smaller than end. start: ' + this.start + ', end: ' + this.end);\\n\\t }\\n\\t}\",\n \"function sum (start, end) {\\n if (start > end) {\\n return sum(end, start);\\n } else if (start === end) {\\n return end;\\n } else {\\n return start + sum(start + 1, end);\\n }\\n}\",\n \"function compareRangeBoundaryPoints(a, whichA, b, whichB) {\\n\\t var mode = void 0;\\n\\t if (whichA === \\\"start\\\" && whichB === \\\"start\\\") {\\n\\t // $FlowFixMe(mdr)\\n\\t mode = Range.START_TO_START;\\n\\t } else if (whichA === \\\"start\\\" && whichB === \\\"end\\\") {\\n\\t // NOTE(mdr): Confusingly, the correct constant here is actually\\n\\t // `END_TO_START`, which is the reverse of what you'd expect.\\n\\t // $FlowFixMe(mdr)\\n\\t mode = Range.END_TO_START;\\n\\t } else if (whichA === \\\"end\\\" && whichB === \\\"start\\\") {\\n\\t // NOTE(mdr): Confusingly, the correct constant here is actually\\n\\t // `START_TO_END`, which is the reverse of what you'd expect.\\n\\t // $FlowFixMe(mdr)\\n\\t mode = Range.START_TO_END;\\n\\t } else {\\n\\t // $FlowFixMe(mdr)\\n\\t mode = Range.END_TO_END;\\n\\t }\\n\\t return a.compareBoundaryPoints(mode, b);\\n\\t}\",\n \"function midrange (a, b,c) {\\n let min = Math.min(a, b,c);\\n let max = Math.max(a, b,c);\\n let mid = (max+min)/2\\n\\n\\n return mid; \\n}\",\n \"function h$ghcjsbn_add_bb(b1, b2) {\\n ASSERTVALID_B(b1, \\\"add_bb b1\\\");\\n ASSERTVALID_B(b2, \\\"add_bb b2\\\");\\n var i, c = 0, l1 = b1[0], l2 = b2[0], t = [0];\\n var bl, lmin, lmax;\\n if(l1 <= l2) {\\n lmin = l1;\\n lmax = l2;\\n bl = b2;\\n } else {\\n lmin = l2;\\n lmax = l1;\\n bl = b1;\\n }\\n for(i=1;i<=lmin;i++) {\\n c += b1[i] + b2[i];\\n t[i] = c & GHCJSBN_MASK;\\n c >>= GHCJSBN_BITS;\\n }\\n for(i=lmin+1;i<=lmax;i++) {\\n c += bl[i];\\n t[i] = c & GHCJSBN_MASK;\\n c >>= GHCJSBN_BITS;\\n }\\n if(c !== 0) t[++lmax] = c;\\n t[0] = lmax;\\n ASSERTVALID_B(t, \\\"add_bb result\\\");\\n return t;\\n}\",\n \"function sumOfRangeClever (start, end, step = 1){\\r\\n\\tvar array = [];\\r\\n\\tvar sum = 0;\\r\\n\\tfor (var i = start; i <= end; i++) {\\r\\n\\t\\tarray.push(i);\\r\\n\\t}\\r\\n\\t\\r\\n\\tfor(var value of array){\\r\\n\\t\\tsum = sum + value;\\r\\n }\\r\\n\\treturn ({\\\"array\\\": array, \\\"sum\\\": sum});\\r\\n}\",\n \"function compareRangeBoundaryPoints(a, whichA, b, whichB) {\\n var mode;\\n\\n if (whichA === \\\"start\\\" && whichB === \\\"start\\\") {\\n // $FlowFixMe(mdr)\\n mode = Range.START_TO_START;\\n } else if (whichA === \\\"start\\\" && whichB === \\\"end\\\") {\\n // NOTE(mdr): Confusingly, the correct constant here is actually\\n // `END_TO_START`, which is the reverse of what you'd expect.\\n // $FlowFixMe(mdr)\\n mode = Range.END_TO_START;\\n } else if (whichA === \\\"end\\\" && whichB === \\\"start\\\") {\\n // NOTE(mdr): Confusingly, the correct constant here is actually\\n // `START_TO_END`, which is the reverse of what you'd expect.\\n // $FlowFixMe(mdr)\\n mode = Range.START_TO_END;\\n } else {\\n // $FlowFixMe(mdr)\\n mode = Range.END_TO_END;\\n }\\n\\n return a.compareBoundaryPoints(mode, b);\\n}\",\n \"function Interval(left, right) {\\n this.left = left;\\n this.right = right\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list 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minimum and the maximum of the products of the bounds and using them as the bounds of the resulting interval. (math_min and math_max are primitives that find the minimum or maximum of any number of arguments.)"},"document":{"kind":"string","value":"function mulInterval(x, y) {\n const p1 = lowerBound(x) * lowerBound(y);\n const p2 = lowerBound(x) * upperBound(y);\n const p3 = upperBound(x) * lowerBound(y);\n const p4 = upperBound(x) * upperBound(y);\n return makeInterval(Math.min(p1, p2, p3, p4), Math.max(p1, p2, p3, p4));\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function iclamp(a, min, max) {\n\treturn Math.max(min, Math.min(a, max));\n}","function product_Range(a,b) {\n var prd = a,i = a;\n\n while (i++< b) {\n prd*=i;\n }\n return prd;\n}","function map(x, in_min, in_max, out_min, out_max,checkRanges) {\n if ((typeof checkRanges != 'undefined') && checkRanges) {\n if (x < in_min) x = in_min;\n else if (x > in_max) x = in_max;\n }\n return (x - in_min) * (out_max - out_min) / (in_max - in_min) + out_min;\n}","function linearScale (a1, b1, a2, b2) {\n return function (x1) {\n // in the interval [0, 1]\n var t = (x1 - a1) / (b1 - a1);\n // in the interval [a2, b2]\n return t * (b2 - a2) + a2;\n }\n}","function solve(a) {\n let min = 1, max = 1;\n for (let x of a) {\n let cur = [];\n for (let y of x) cur.push(y * min), cur.push(y * max);\n min = Math.min(...cur);\n max = Math.max(...cur);\n }\n return max;\n }","map(original, in_min, in_max, out_min, out_max) {\n return (original - in_min) * (out_max - out_min) / (in_max - in_min) + out_min;\n }","function map(x, oMin, oMax, nMin, nMax) {\n // check range\n\n if (oMin === oMax) {\n console.log(\"Warning: Zero input range\");\n return null;\n }\n\n if (nMin === nMax) {\n console.log(\"Warning: Zero output range\");\n return null;\n }\n\n // check reversed input range\n let reverseInput = false;\n let oldMin = Math.min(oMin, oMax);\n let oldMax = Math.max(oMin, oMax);\n\n if (oldMin != oMin) reverseInput = true;\n\n // check reversed output range\n let reverseOutput = false;\n let newMin = Math.min(nMin, nMax);\n let newMax = Math.max(nMin, nMax);\n\n if (newMin != nMin) reverseOutput = true;\n\n // calculate new range\n let portion = (x - oldMin) * (newMax - newMin) / (oldMax - oldMin);\n\n if (reverseInput) portion = (oldMax - x) * (newMax - newMin) / (oldMax - oldMin);\n\n let result = portion + newMin;\n\n if (reverseOutput) result = newMax - portion;\n\n return result;\n }","function GetSum( a,b ) {\n let min = Math.min(a,b)\n let max = Math.max(a,b)\n \n let total = 0\n \n for(let i = min; i <= max; i++){\n total += i\n }\n return total\n }","function area(a, b){\n return (a*b);\n}","static map(val, inputMin, inputMax, outputMin, outputMax) {\n return ((outputMax - outputMin) * ((val - inputMin) / (inputMax - inputMin))) + outputMin;\n }","function rangeRad(a,b){\n var min = Math.min.apply(Math, [a, b]);\n var max = Math.max.apply(Math, [a, b]);\n console.log('min ' + min + ' max '+max);\n return this > min && this < max;\n }","function rangeIntersection(a, b) {\n if (a[0] > b[1])\n return null;\n if (a[1] < b[0])\n return null;\n // We know they intersect, result is the larger lower bound to the smaller\n // upper bound.\n return [Math.max(a[0], b[0]), Math.min(a[1], b[1])];\n}","function maxOfTwoNumbers(a, b) {\n //\n}","function constrain(x, x0, x1) {\r\n return Math.min(Math.max(x, x0), x1);\r\n}","function maxOfTwoNumbers(a, b) {\n return Math.max(a, b);\n //\n}","function map(x, inMin, inMax, outMin, outMax) {\n return (x - inMin) * (outMax - outMin) / (inMax - inMin) + outMin;\n }","function maxOfTwoNumbers(a, b) { \n return Math.max (a,b) }","function within(min1, max1, min2, max2) {\n return (min1 <= max2 && max1 >= min2);\n}","function getSum( a,b ) {\n let min = Math.min(a,b);\n let max = Math.max(a,b);\n let sum = 0;\n if (min >= 0) {\n while (max-min >= 1) {\n sum = sum + max;\n max--;\n }\n } else if (min < 0) {\n while (-min-max >= 1) {\n sum += max;\n max--;\n }\n }\n\n \n \n console.log(min, max, sum)\n \n return;\n}","map(value, startRangeLower, startRangeHigher, targetRangeLower, targetRangeHigher)\n {\n let startSpan = startRangeHigher - startRangeLower;\n let targetSpan = targetRangeHigher - targetRangeLower;\n return (((value - startRangeLower) / startSpan) * targetSpan) + targetRangeLower;\n }","function abTest(a, b){\n if (a < 0 || b < 0){\n return undefined;\n }\n\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\n}","function map_range(value, low1, high1, low2, high2) {\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\n}","function map_range(value, low1, high1, low2, high2) {\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\n}","function map_range(value, low1, high1, low2, high2) {\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\n}","function map_range(value, low1, high1, low2, high2) {\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\n}","function map_range(value, low1, high1, low2, high2) {\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\n}","function map (num, in_min, in_max, out_min, out_max) {\n return (num - in_min) * (out_max - out_min) / (in_max - in_min) + out_min;\n}","function abTest(a, b) {\n if (a < 0 || b < 0) {\n return undefined;\n }\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\n}","function abTest(a, b) {\n\tif (a < 0 || b < 0) {\n\t\treturn undefined;\n\t}\n\treturn Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 0));\n}","function abTest(a,b){\n if (a < 0 || b < 0){\n return undefined\n }\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b),2))\n}","function abTest(a, b) {\n if (a < 0 || b < 0) {\n return undefined;\n }\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\n}","function map_range(value, low1, high1, low2, high2) {\r\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\r\n }","function abTest(a, b) {\n if (a < 0 || b < 0) {\n return undefined;\n }\n\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\n}","function pitagoras(a, b) {\n\n c = Math.pow(a, 2) + Math.pow(b, 2) \n\n return Math.sqrt(c)\n\n\n}","function map(value, in_min, in_max, out_min, out_max){\n return (value - in_min) * (out_max - out_min) / (in_max - in_min) + out_min\n}","function rangeMatch(X1, minX1, maxX1, minX2, maxX2) {\n return minX2 + ((X1 - minX1) / (maxX1 - minX1)) * (maxX2 - minX2)\n}","function map(x, in_min, in_max, out_min, out_max) {\n return Math.round((x - in_min) * (out_max - out_min) / (in_max - in_min) + out_min);\n}","function max(x, y) {\n return lte(x, y) ? y : x;\n }","function max(x, y) {\n return lte (x, y) ? y : x;\n }","function maxOfTwoNumbers(a, b) {\n return Math.max(a, b);\n}","mapVals(num, in_min, in_max, out_min, out_max) {\n return ((num - in_min) * (out_max - out_min)) / (in_max - in_min) + out_min;\n }","function mapNumbers(x, in_min, in_max, out_min, out_max)\t{\n return (x-in_min) * (out_max-out_min) / (in_max-in_min) + out_min;\n}","function map(value, fromRangeMin, fromRangeMax, toRangeMin, toRangeMax) {\n return (value - fromRangeMin) * (toRangeMax - toRangeMin) / (fromRangeMax - fromRangeMin) + toRangeMin;\n }","findIntersection (intervals_a, intervals_b)\n {\n const result = [];\n\n let aIndex = 0, bIndex = 0\n\n while( aIndex < intervals_a.length && bIndex < intervals_b.length )\n {\n const aStart = intervals_a[aIndex][0],\n aEnd = intervals_a[aIndex][1],\n bStart = intervals_b[bIndex][0],\n bEnd = intervals_b[bIndex][1]\n\n if( bStart <= aEnd && aStart <= bEnd )\n {\n result.push( [Math.max(aStart, bStart), Math.min(aEnd, bEnd)] )\n aIndex++\n }\n else if( aStart <= bEnd && bStart <= aEnd )\n {\n result.push( [Math.max(aStart, bStart), Math.min(aEnd, bEnd)] )\n bIndex++\n }\n\n if( aEnd < bStart )\n {\n aIndex++\n }\n else if( bEnd < aStart )\n {\n bIndex++\n }\n }\n\n return result;\n}","function mapVal (num, in_min, in_max, out_min, out_max) {\n return (num - in_min) * (out_max - out_min) / (in_max - in_min) + out_min;\n}","function minl1 ( A, b) {\n\t/*\n\t\tSolves min ||x||_1 s.t. Ax = b\n\t\t\n\t\tas \n\t\t\n\t\t\tmin sum a_i s.t. -a <= x <= a and Ax = b\n\t\t\t\n\t\texample: \nA = randn(10,20)\nr = zeros(20)\nr[0:3] = randn(3)\nx=minl1(A,A*r)\n\n\t*/\n\tconst n = A.n;\n\t\n\tvar Aineq = zeros ( 2*n, 2*n ) ;\n\tvar i;\n\t\n\t//set ( Aineq, range(0,n),range(0,n) , I) ;\n\t//set ( Aineq, range(0,n),range(n,2*n) , I_) ;\n\t//set ( Aineq, range(n,2*n),range(0,n) , I_) ;\n\t//set ( Aineq, range(n,2*n),range(n,2*n) , I_) ;\n\tfor ( i=0; i < n; i++) {\n\t\tAineq.val[i*Aineq.n + i] = 1;\n\t\tAineq.val[i*Aineq.n + n+i] = -1;\n\t\tAineq.val[(n+i)*Aineq.n + i] = -1;\n\t\tAineq.val[(n+i)*Aineq.n + n+i] = -1;\n\t}\n\tvar bineq = zeros ( 2*n);\n\t\n\tvar Aeq = zeros(A.length, 2*n);\n\tset ( Aeq , [], range( 0,n), A );\n\t\n\tvar cost = zeros(2*n);\n\tset ( cost, range(n,2*n), ones(n) );\n\t\t\n\tvar lb = zeros(2*n);\t// better to constraint a>=0\n\tset ( lb, range(n), mulScalarVector(-Infinity , ones( n )) ) ;\t\n//console.log( cost, Aineq, bineq, Aeq, b, lb);\t\n//\tvar lpsol = lp( cost, Aineq, bineq, Aeq, b, lb, [], 0 , 1e-6 );\n\tvar lpsol = glp( cost, Aineq, bineq, Aeq, b, lb);\t\n\n\treturn get(lpsol, range(n) );\n}","function getSum( a,b )\r\n {\r\n let max = Math.max(a,b);\r\n let min = Math.min(a,b);\r\n let sum =0;\r\n if(a===b){\r\n return a;\r\n }else{\r\n for(let i =min ; i <= max ; i++) {\r\n sum +=i;\r\n }\r\n }\r\n return sum;\r\n \r\n }","function abTest(a, b) {\n // Only change code below this line\n if (a < 0){\n return undefined;\n } else if (b < 0){\n return undefined;\n } \n // Only change code above this line\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\n}","function bound(min, max, val)\n\t{\n\t\treturn Math.max(Math.min(val, max), min);\n\t}","function multiplyBetween(num1, num2) {\n\n if (num2 <= num1) {\n return 0;\n }\n\n var product = 1;\n for (var start = num1; start < num2; start++) {\n product = product * start;\n }\n return product;\n}","function csquareintsbetween (a, b) {\n return Math.floor(Math.sqrt(b)) - Math.ceil(Math.sqrt(a)) + 1;\n}","function mapLinear( x, a1, a2, b1, b2 ) {\n\n\treturn b1 + ( x - a1 ) * ( b2 - b1 ) / ( a2 - a1 );\n\n}","function intervalDistance(minA, maxA, minB, maxB)\n{\n if (minA < minB)\n {\n return minB - maxA;\n }\n\n else return minA - maxB;\n}","function map (x, low1, high1, low2, high2) {\n const r1 = high1 - low1\n const r2 = high2 - low2\n return ((x - low1) * (r2 / r1)) + low2\n}","function solve(args) {\n var min = +args[0],\n max = +args[0],\n sum = +args[0],\n avg = 0,\n len = args.length;\n\n for (var i = 1; i < len; i += 1) {\n min = Math.min(min, +args[i]);\n max = Math.max(max, +args[i]);\n sum += +args[i];\n }\n\n avg = sum / len;\n \n console.log(\"min=\" + min.toFixed(2));\n console.log(\"max=\" + max.toFixed(2));\n console.log(\"sum=\" + sum.toFixed(2));\n console.log(\"avg=\" + avg.toFixed(2));\n}","function calculatesArea(a, b){\n let area = a * b\n return area\n}","function multiplyBetween(num1, num2) {\n if(num1 >= num2){return 0};\n var array = [];\n for (var i=num1; i< num2; i++){\n array.push(i);\n }\n var mult =array.reduce((a,b)=>(a*b));\n return mult;\n}","static clamp(num, a, b) {\n return Math.max(Math.min(num, Math.max(a, b)), Math.min(a, b));\n }","function mapLinear(x, a1, a2, b1, b2) {\n return b1 + (x - a1) * (b2 - b1) / (a2 - a1);\n }","function range(input,min,max) {\n\t\tif(min > max) { var x = min; min = max; max = x;}\n\t\treturn Math.max(Math.min(input,max),min);\n\t}","function fmin(a, b) { return Math.min(a, b); }","function maxOfTwoNumbers(a, b) {\n return a > b ? a : b;\n}","function maxOfTwoNumbers(a, b) {\n return a > b ? a : b;\n}","function intervalChoice(a, interval) {\n\n // filter numbers\n var numbers = interval.filter(function(a) { return typeof a === 'number'; });\n\n // get interval limits\n var amin = numbers[0];\n var amax = numbers[numbers.length - 1];\n\n // capture numbers beyond interval limits\n interval.unshift(-Infinity);\n interval.push(Infinity);\n\n // iterate over the interval, to find the function\n // that corresponds to our value 'a'\n var n = interval.length - 1;\n for(var i = 1; i < n; i++) {\n if(typeof interval[i] === 'function') {\n var abot = interval[i - 1];\n var afun = interval[i];\n var atop = interval[i + 1];\n if(abot <= a && a < atop) {\n return afun(a, abot, atop);\n }\n }\n }\n}","function clamp(a,min,max)\r\n{return Math.min(Math.max(a,min),max);}","function maxOfTwoNumbers(a,b){\n\treturn a > b ? a : b;\n}","function mapLinear( x, a1, a2, b1, b2 ) {\n\n\t\treturn b1 + ( x - a1 ) * ( b2 - b1 ) / ( a2 - a1 );\n\n\t}","function between(val, min, max) {\n\t\treturn Math.min(Math.max(min, val), max);\n\t}","function multiply(num1, num2, cb) {\n const largest = Math.max(num1, num2);\n const smallest = Math.min(num1, num2);\n\n return cb(largest, smallest);\n}","function range(a, b) {\n if ((a >= 40 && a <= 60) && (b >= 40 && b <= 60)) {\n console.log('given numbers are in range of 40 and 60')\n } else if ((a >= 70 && a <= 100) && (b >= 70 && b <= 100)) {\n console.log('given numbers are in range of 70 and 100')\n } else {\n console.log('one or both the numbers are not in range')\n }\n}","function linearMap(x, minx, maxx, miny, maxy) {\n // t is in the range [0,1]\n t = (x - minx) / (maxx - minx);\n y = t * (maxy - miny) + miny;\n return y;\n}","function getRecommendValue(a, b) {\n let x = a > b ? b : a\n let y = 0\n\n if (x >= 4000) {\n y = x * 0.015\n } else if (x >= 2000) {\n y = x * 0.013\n } else if (x >= 1000) {\n y = x * 0.011\n } else if (x >= 300) {\n y = x * 0.010\n }\n\n return y\n}","function maxOfTwoNumbers(a, b) {\n const maxOfTwo = Math.max(a, b);\n return maxOfTwo;\n}","function map(val, A, B, a, b) {\n return (val - A) * (b - a) / (B - A) + a;\n}","function max(x, y){\n return Math.max(x, y)\n}","function constrain(value, min, max) {\n return Math.min(Math.max(value, min), max);\n}","function pyt(a, b) {\r\n\t\treturn Math.sqrt(a * a + b * b);\r\n\t}","function maxOfTwoNumbers(a, b) {\n if ( a > b){ //return either parameter if it is larger than the other. \n return a;\n }\n else return b;\n}","function d(a,b) {\n var x = Math.max(0, a[0] - b[0], b[0] - a[1]),\n y = Math.max(0, a[2] - b[1], b[1] - a[3])\n return x+y;\n }","function abTest(a, b) {\r\n if (a > 0 || b > 0) {\r\n return undefined;\r\n } else {\r\n console.log(\"not undefined\");\r\n }\r\n \r\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\r\n }","function hypo(a, b) {\n function square(x) {\n return x * x;\n }\n return Math.sqrt(square(a)+ square(b))\n}","function min (a, b) {\n return Math.min(a, b);\n}","function getSum(a,b) {\n let arrayOfNumbers = [];\n\n const min = (a <= b) ? a : b;\n const max = (a <= b) ? b : a;\n\n for (var item = min; item <= max; item++) {\n arrayOfNumbers = [...arrayOfNumbers, item];\n }\n\n const sum = arrayOfNumbers.reduce((total, item) => total + item);\n return sum;\n}","function d(a,b) {\r\n var x = Math.max(0, a[0] - b[0], b[0] - a[1]),\r\n y = Math.max(0, a[2] - b[1], b[1] - a[3])\r\n return x+y;\r\n }","function d(a,b) {\r\n var x = Math.max(0, a[0] - b[0], b[0] - a[1]),\r\n y = Math.max(0, a[2] - b[1], b[1] - a[3])\r\n return x+y;\r\n }","function findMinMax (x,y){\r\n var len = x.length\r\n if ( y === true ){\r\n return Math.max(...x)\r\n }else{\r\n return Math.min(...x)\r\n }\r\n }","function midrange (a, b,c) {\n let min = Math.min(a, b,c);\n let max = Math.max(a, b,c);\n let mid = (max+min)/2\n\n\n return mid; \n}","function highAndLow1(numbers){\n numbers = numbers.split(' ');\n return `${Math.max(...numbers)} ${Math.min(...numbers)}`;\n}","function overlaps (min1, max1, min2, max2)\n\t{\n\t\treturn is_between (min2, min1, max1) || is_between (min1, min2, max2);\n\t}","function __WEBPACK_DEFAULT_EXPORT__(range, min, max) {\n var lo = range[0],\n hi = range[1],\n span;\n\n if (hi < lo) {\n span = hi;\n hi = lo;\n lo = span;\n }\n span = hi - lo;\n\n return span >= (max - min)\n ? [min, max]\n : [\n (lo = Math.min(Math.max(lo, min), max - span)),\n lo + span\n ];\n}","function mathOperations(arr){\n let max = arr[0],min=arr[0]\n\n for(let i = 0;i<arr.length;i++){\n if(arr[i]>max){\n max = arr[i]\n }\n if(arr[i]<min){\n min = arr[i]\n }\n }\n\n console.log(\"MAX = \" + max)\n\n console.log(\"Min = \" + min)\n\n console.log(\"Range = \" + (max-min))\n}","function between(a, b) {\n // your code here\n let array = []\n let min = Math.min(a,b)\n let max = Math.max(a,b)\n for(let i=min; i<=max; i++){\n array.push(i)\n }\n return array\n\n}","mapValues(n, start1, stop1, start2, stop2) {\n return ((n-start1)/(stop1-start1))*(stop2-start2)+start2;\n }","function max(a, b){\n return a < b ? b : a;\n}","function minMaxProduct(array){\n // your code here...\n}","function getLowerEndOfBiggerIntervalOfTwoDegreeValues(a,b) {\n var bigger = Math.max(a,b)\n var smaller = Math.min(a,b)\n if (bigger - smaller > smaller + 360 - bigger) return smaller\n else return bigger\n}","function getIterations(a, b) {\n\t\t// Guess required precision based and size of range...\n\t\t// TODO: There should be much better educated guesses for\n\t\t// this. Also, what does this depend on? Required precision?\n\t\treturn Math.max(2, Math.min(16, Math.ceil(Math.abs(b - a) * 32)));\n\t}","function GetSum( a,b )\n{\n if (a === b) return a; else {\n let min,max; let out = 0;\n if (a < b) {min = a; max = b;} else {min = b; max = a}\n out = 0;\n\n for (let i = 0; i < Math.abs(max - min); i++){\n out += max - i;\n }\n return out + min;\n }\n}","function range(x, y, result = []) {\r\n let min = Math.min(x, y);\r\n let max = Math.max(x, y);\r\n if (min === max) {\r\n result.push(min);\r\n return result;\r\n }\r\n result.push(min);\r\n min++;\r\n return range(min, max, result);\r\n}","function computeBounds(x1, x2, y1, y2) {\n return [[x1, y1], [x2, y1], [x2, y2], [x1,y2]];\n }"],"string":"[\n \"function iclamp(a, min, max) {\\n\\treturn Math.max(min, Math.min(a, max));\\n}\",\n \"function product_Range(a,b) {\\n var prd = a,i = a;\\n\\n while (i++< b) {\\n prd*=i;\\n }\\n return prd;\\n}\",\n \"function map(x, in_min, in_max, out_min, out_max,checkRanges) {\\n if ((typeof checkRanges != 'undefined') && checkRanges) {\\n if (x < in_min) x = in_min;\\n else if (x > in_max) x = in_max;\\n }\\n return (x - in_min) * (out_max - out_min) / (in_max - in_min) + out_min;\\n}\",\n \"function linearScale (a1, b1, a2, b2) {\\n return function (x1) {\\n // in the interval [0, 1]\\n var t = (x1 - a1) / (b1 - a1);\\n // in the interval [a2, b2]\\n return t * (b2 - a2) + a2;\\n }\\n}\",\n \"function solve(a) {\\n let min = 1, max = 1;\\n for (let x of a) {\\n let cur = [];\\n for (let y of x) cur.push(y * min), cur.push(y * max);\\n min = Math.min(...cur);\\n max = Math.max(...cur);\\n }\\n return max;\\n }\",\n \"map(original, in_min, in_max, out_min, out_max) {\\n return (original - in_min) * (out_max - out_min) / (in_max - in_min) + out_min;\\n }\",\n \"function map(x, oMin, oMax, nMin, nMax) {\\n // check range\\n\\n if (oMin === oMax) {\\n console.log(\\\"Warning: Zero input range\\\");\\n return null;\\n }\\n\\n if (nMin === nMax) {\\n console.log(\\\"Warning: Zero output range\\\");\\n return null;\\n }\\n\\n // check reversed input range\\n let reverseInput = false;\\n let oldMin = Math.min(oMin, oMax);\\n let oldMax = Math.max(oMin, oMax);\\n\\n if (oldMin != oMin) reverseInput = true;\\n\\n // check reversed output range\\n let reverseOutput = false;\\n let newMin = Math.min(nMin, nMax);\\n let newMax = Math.max(nMin, nMax);\\n\\n if (newMin != nMin) reverseOutput = true;\\n\\n // calculate new range\\n let portion = (x - oldMin) * (newMax - newMin) / (oldMax - oldMin);\\n\\n if (reverseInput) portion = (oldMax - x) * (newMax - newMin) / (oldMax - oldMin);\\n\\n let result = portion + newMin;\\n\\n if (reverseOutput) result = newMax - portion;\\n\\n return result;\\n }\",\n \"function GetSum( a,b ) {\\n let min = Math.min(a,b)\\n let max = Math.max(a,b)\\n \\n let total = 0\\n \\n for(let i = min; i <= max; i++){\\n total += i\\n }\\n return total\\n }\",\n \"function area(a, b){\\n return (a*b);\\n}\",\n \"static map(val, inputMin, inputMax, outputMin, outputMax) {\\n return ((outputMax - outputMin) * ((val - inputMin) / (inputMax - inputMin))) + outputMin;\\n }\",\n \"function rangeRad(a,b){\\n var min = Math.min.apply(Math, [a, b]);\\n var max = Math.max.apply(Math, [a, b]);\\n console.log('min ' + min + ' max '+max);\\n return this > min && this < max;\\n }\",\n \"function rangeIntersection(a, b) {\\n if (a[0] > b[1])\\n return null;\\n if (a[1] < b[0])\\n return null;\\n // We know they intersect, result is the larger lower bound to the smaller\\n // upper bound.\\n return [Math.max(a[0], b[0]), Math.min(a[1], b[1])];\\n}\",\n \"function maxOfTwoNumbers(a, b) {\\n //\\n}\",\n \"function constrain(x, x0, x1) {\\r\\n return Math.min(Math.max(x, x0), x1);\\r\\n}\",\n \"function maxOfTwoNumbers(a, b) {\\n return Math.max(a, b);\\n //\\n}\",\n \"function map(x, inMin, inMax, outMin, outMax) {\\n return (x - inMin) * (outMax - outMin) / (inMax - inMin) + outMin;\\n }\",\n \"function maxOfTwoNumbers(a, b) { \\n return Math.max (a,b) }\",\n \"function within(min1, max1, min2, max2) {\\n return (min1 <= max2 && max1 >= min2);\\n}\",\n \"function getSum( a,b ) {\\n let min = Math.min(a,b);\\n let max = Math.max(a,b);\\n let sum = 0;\\n if (min >= 0) {\\n while (max-min >= 1) {\\n sum = sum + max;\\n max--;\\n }\\n } else if (min < 0) {\\n while (-min-max >= 1) {\\n sum += max;\\n max--;\\n }\\n }\\n\\n \\n \\n console.log(min, max, sum)\\n \\n return;\\n}\",\n \"map(value, startRangeLower, startRangeHigher, targetRangeLower, targetRangeHigher)\\n {\\n let startSpan = startRangeHigher - startRangeLower;\\n let targetSpan = targetRangeHigher - targetRangeLower;\\n return (((value - startRangeLower) / startSpan) * targetSpan) + targetRangeLower;\\n }\",\n \"function abTest(a, b){\\n if (a < 0 || b < 0){\\n return undefined;\\n }\\n\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map (num, in_min, in_max, out_min, out_max) {\\n return (num - in_min) * (out_max - out_min) / (in_max - in_min) + out_min;\\n}\",\n \"function abTest(a, b) {\\n if (a < 0 || b < 0) {\\n return undefined;\\n }\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\n}\",\n \"function abTest(a, b) {\\n\\tif (a < 0 || b < 0) {\\n\\t\\treturn undefined;\\n\\t}\\n\\treturn Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 0));\\n}\",\n \"function abTest(a,b){\\n if (a < 0 || b < 0){\\n return undefined\\n }\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b),2))\\n}\",\n \"function abTest(a, b) {\\n if (a < 0 || b < 0) {\\n return undefined;\\n }\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\r\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\r\\n }\",\n \"function abTest(a, b) {\\n if (a < 0 || b < 0) {\\n return undefined;\\n }\\n\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\n}\",\n \"function pitagoras(a, b) {\\n\\n c = Math.pow(a, 2) + Math.pow(b, 2) \\n\\n return Math.sqrt(c)\\n\\n\\n}\",\n \"function map(value, in_min, in_max, out_min, out_max){\\n return (value - in_min) * (out_max - out_min) / (in_max - in_min) + out_min\\n}\",\n \"function rangeMatch(X1, minX1, maxX1, minX2, maxX2) {\\n return minX2 + ((X1 - minX1) / (maxX1 - minX1)) * (maxX2 - minX2)\\n}\",\n \"function map(x, in_min, in_max, out_min, out_max) {\\n return Math.round((x - in_min) * (out_max - out_min) / (in_max - in_min) + out_min);\\n}\",\n \"function max(x, y) {\\n return lte(x, y) ? y : x;\\n }\",\n \"function max(x, y) {\\n return lte (x, y) ? y : x;\\n }\",\n \"function maxOfTwoNumbers(a, b) {\\n return Math.max(a, b);\\n}\",\n \"mapVals(num, in_min, in_max, out_min, out_max) {\\n return ((num - in_min) * (out_max - out_min)) / (in_max - in_min) + out_min;\\n }\",\n \"function mapNumbers(x, in_min, in_max, out_min, out_max)\\t{\\n return (x-in_min) * (out_max-out_min) / (in_max-in_min) + out_min;\\n}\",\n \"function map(value, fromRangeMin, fromRangeMax, toRangeMin, toRangeMax) {\\n return (value - fromRangeMin) * (toRangeMax - toRangeMin) / (fromRangeMax - fromRangeMin) + toRangeMin;\\n }\",\n \"findIntersection (intervals_a, intervals_b)\\n {\\n const result = [];\\n\\n let aIndex = 0, bIndex = 0\\n\\n while( aIndex < intervals_a.length && bIndex < intervals_b.length )\\n {\\n const aStart = intervals_a[aIndex][0],\\n aEnd = intervals_a[aIndex][1],\\n bStart = intervals_b[bIndex][0],\\n bEnd = intervals_b[bIndex][1]\\n\\n if( bStart <= aEnd && aStart <= bEnd )\\n {\\n result.push( [Math.max(aStart, bStart), Math.min(aEnd, bEnd)] )\\n aIndex++\\n }\\n else if( aStart <= bEnd && bStart <= aEnd )\\n {\\n result.push( [Math.max(aStart, bStart), Math.min(aEnd, bEnd)] )\\n bIndex++\\n }\\n\\n if( aEnd < bStart )\\n {\\n aIndex++\\n }\\n else if( bEnd < aStart )\\n {\\n bIndex++\\n }\\n }\\n\\n return result;\\n}\",\n \"function mapVal (num, in_min, in_max, out_min, out_max) {\\n return (num - in_min) * (out_max - out_min) / (in_max - in_min) + out_min;\\n}\",\n \"function minl1 ( A, b) {\\n\\t/*\\n\\t\\tSolves min ||x||_1 s.t. Ax = b\\n\\t\\t\\n\\t\\tas \\n\\t\\t\\n\\t\\t\\tmin sum a_i s.t. -a <= x <= a and Ax = b\\n\\t\\t\\t\\n\\t\\texample: \\nA = randn(10,20)\\nr = zeros(20)\\nr[0:3] = randn(3)\\nx=minl1(A,A*r)\\n\\n\\t*/\\n\\tconst n = A.n;\\n\\t\\n\\tvar Aineq = zeros ( 2*n, 2*n ) ;\\n\\tvar i;\\n\\t\\n\\t//set ( Aineq, range(0,n),range(0,n) , I) ;\\n\\t//set ( Aineq, range(0,n),range(n,2*n) , I_) ;\\n\\t//set ( Aineq, range(n,2*n),range(0,n) , I_) ;\\n\\t//set ( Aineq, range(n,2*n),range(n,2*n) , I_) ;\\n\\tfor ( i=0; i < n; i++) {\\n\\t\\tAineq.val[i*Aineq.n + i] = 1;\\n\\t\\tAineq.val[i*Aineq.n + n+i] = -1;\\n\\t\\tAineq.val[(n+i)*Aineq.n + i] = -1;\\n\\t\\tAineq.val[(n+i)*Aineq.n + n+i] = -1;\\n\\t}\\n\\tvar bineq = zeros ( 2*n);\\n\\t\\n\\tvar Aeq = zeros(A.length, 2*n);\\n\\tset ( Aeq , [], range( 0,n), A );\\n\\t\\n\\tvar cost = zeros(2*n);\\n\\tset ( cost, range(n,2*n), ones(n) );\\n\\t\\t\\n\\tvar lb = zeros(2*n);\\t// better to constraint a>=0\\n\\tset ( lb, range(n), mulScalarVector(-Infinity , ones( n )) ) ;\\t\\n//console.log( cost, Aineq, bineq, Aeq, b, lb);\\t\\n//\\tvar lpsol = lp( cost, Aineq, bineq, Aeq, b, lb, [], 0 , 1e-6 );\\n\\tvar lpsol = glp( cost, Aineq, bineq, Aeq, b, lb);\\t\\n\\n\\treturn get(lpsol, range(n) );\\n}\",\n \"function getSum( a,b )\\r\\n {\\r\\n let max = Math.max(a,b);\\r\\n let min = Math.min(a,b);\\r\\n let sum =0;\\r\\n if(a===b){\\r\\n return a;\\r\\n }else{\\r\\n for(let i =min ; i <= max ; i++) {\\r\\n sum +=i;\\r\\n }\\r\\n }\\r\\n return sum;\\r\\n \\r\\n }\",\n \"function abTest(a, b) {\\n // Only change code below this line\\n if (a < 0){\\n return undefined;\\n } else if (b < 0){\\n return undefined;\\n } \\n // Only change code above this line\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\n}\",\n \"function bound(min, max, val)\\n\\t{\\n\\t\\treturn Math.max(Math.min(val, max), min);\\n\\t}\",\n \"function multiplyBetween(num1, num2) {\\n\\n if (num2 <= num1) {\\n return 0;\\n }\\n\\n var product = 1;\\n for (var start = num1; start < num2; start++) {\\n product = product * start;\\n }\\n return product;\\n}\",\n \"function csquareintsbetween (a, b) {\\n return Math.floor(Math.sqrt(b)) - Math.ceil(Math.sqrt(a)) + 1;\\n}\",\n \"function mapLinear( x, a1, a2, b1, b2 ) {\\n\\n\\treturn b1 + ( x - a1 ) * ( b2 - b1 ) / ( a2 - a1 );\\n\\n}\",\n \"function intervalDistance(minA, maxA, minB, maxB)\\n{\\n if (minA < minB)\\n {\\n return minB - maxA;\\n }\\n\\n else return minA - maxB;\\n}\",\n \"function map (x, low1, high1, low2, high2) {\\n const r1 = high1 - low1\\n const r2 = high2 - low2\\n return ((x - low1) * (r2 / r1)) + low2\\n}\",\n \"function solve(args) {\\n var min = +args[0],\\n max = +args[0],\\n sum = +args[0],\\n avg = 0,\\n len = args.length;\\n\\n for (var i = 1; i < len; i += 1) {\\n min = Math.min(min, +args[i]);\\n max = Math.max(max, +args[i]);\\n sum += +args[i];\\n }\\n\\n avg = sum / len;\\n \\n console.log(\\\"min=\\\" + min.toFixed(2));\\n console.log(\\\"max=\\\" + max.toFixed(2));\\n console.log(\\\"sum=\\\" + sum.toFixed(2));\\n console.log(\\\"avg=\\\" + avg.toFixed(2));\\n}\",\n \"function calculatesArea(a, b){\\n let area = a * b\\n return area\\n}\",\n \"function multiplyBetween(num1, num2) {\\n if(num1 >= num2){return 0};\\n var array = [];\\n for (var i=num1; i< num2; i++){\\n array.push(i);\\n }\\n var mult =array.reduce((a,b)=>(a*b));\\n return mult;\\n}\",\n \"static clamp(num, a, b) {\\n return Math.max(Math.min(num, Math.max(a, b)), Math.min(a, b));\\n }\",\n \"function mapLinear(x, a1, a2, b1, b2) {\\n return b1 + (x - a1) * (b2 - b1) / (a2 - a1);\\n }\",\n \"function range(input,min,max) {\\n\\t\\tif(min > max) { var x = min; min = max; max = x;}\\n\\t\\treturn Math.max(Math.min(input,max),min);\\n\\t}\",\n \"function fmin(a, b) { return Math.min(a, b); }\",\n \"function maxOfTwoNumbers(a, b) {\\n return a > b ? a : b;\\n}\",\n \"function maxOfTwoNumbers(a, b) {\\n return a > b ? a : b;\\n}\",\n \"function intervalChoice(a, interval) {\\n\\n // filter numbers\\n var numbers = interval.filter(function(a) { return typeof a === 'number'; });\\n\\n // get interval limits\\n var amin = numbers[0];\\n var amax = numbers[numbers.length - 1];\\n\\n // capture numbers beyond interval limits\\n interval.unshift(-Infinity);\\n interval.push(Infinity);\\n\\n // iterate over the interval, to find the function\\n // that corresponds to our value 'a'\\n var n = interval.length - 1;\\n for(var i = 1; i < n; i++) {\\n if(typeof interval[i] === 'function') {\\n var abot = interval[i - 1];\\n var afun = interval[i];\\n var atop = interval[i + 1];\\n if(abot <= a && a < atop) {\\n return afun(a, abot, atop);\\n }\\n }\\n }\\n}\",\n \"function clamp(a,min,max)\\r\\n{return Math.min(Math.max(a,min),max);}\",\n \"function maxOfTwoNumbers(a,b){\\n\\treturn a > b ? a : b;\\n}\",\n \"function mapLinear( x, a1, a2, b1, b2 ) {\\n\\n\\t\\treturn b1 + ( x - a1 ) * ( b2 - b1 ) / ( a2 - a1 );\\n\\n\\t}\",\n \"function between(val, min, max) {\\n\\t\\treturn Math.min(Math.max(min, val), max);\\n\\t}\",\n \"function multiply(num1, num2, cb) {\\n const largest = Math.max(num1, num2);\\n const smallest = Math.min(num1, num2);\\n\\n return cb(largest, smallest);\\n}\",\n \"function range(a, b) {\\n if ((a >= 40 && a <= 60) && (b >= 40 && b <= 60)) {\\n console.log('given numbers are in range of 40 and 60')\\n } else if ((a >= 70 && a <= 100) && (b >= 70 && b <= 100)) {\\n console.log('given numbers are in range of 70 and 100')\\n } else {\\n console.log('one or both the numbers are not in range')\\n }\\n}\",\n \"function linearMap(x, minx, maxx, miny, maxy) {\\n // t is in the range [0,1]\\n t = (x - minx) / (maxx - minx);\\n y = t * (maxy - miny) + miny;\\n return y;\\n}\",\n \"function getRecommendValue(a, b) {\\n let x = a > b ? b : a\\n let y = 0\\n\\n if (x >= 4000) {\\n y = x * 0.015\\n } else if (x >= 2000) {\\n y = x * 0.013\\n } else if (x >= 1000) {\\n y = x * 0.011\\n } else if (x >= 300) {\\n y = x * 0.010\\n }\\n\\n return y\\n}\",\n \"function maxOfTwoNumbers(a, b) {\\n const maxOfTwo = Math.max(a, b);\\n return maxOfTwo;\\n}\",\n \"function map(val, A, B, a, b) {\\n return (val - A) * (b - a) / (B - A) + a;\\n}\",\n \"function max(x, y){\\n return Math.max(x, y)\\n}\",\n \"function constrain(value, min, max) {\\n return Math.min(Math.max(value, min), max);\\n}\",\n \"function pyt(a, b) {\\r\\n\\t\\treturn Math.sqrt(a * a + b * b);\\r\\n\\t}\",\n \"function maxOfTwoNumbers(a, b) {\\n if ( a > b){ //return either parameter if it is larger than the other. \\n return a;\\n }\\n else return b;\\n}\",\n \"function d(a,b) {\\n var x = Math.max(0, a[0] - b[0], b[0] - a[1]),\\n y = Math.max(0, a[2] - b[1], b[1] - a[3])\\n return x+y;\\n }\",\n \"function abTest(a, b) {\\r\\n if (a > 0 || b > 0) {\\r\\n return undefined;\\r\\n } else {\\r\\n console.log(\\\"not undefined\\\");\\r\\n }\\r\\n \\r\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\r\\n }\",\n \"function hypo(a, b) {\\n function square(x) {\\n return x * x;\\n }\\n return Math.sqrt(square(a)+ square(b))\\n}\",\n \"function min (a, b) {\\n return Math.min(a, b);\\n}\",\n \"function getSum(a,b) {\\n let arrayOfNumbers = [];\\n\\n const min = (a <= b) ? a : b;\\n const max = (a <= b) ? b : a;\\n\\n for (var item = min; item <= max; item++) {\\n arrayOfNumbers = [...arrayOfNumbers, item];\\n }\\n\\n const sum = arrayOfNumbers.reduce((total, item) => total + item);\\n return sum;\\n}\",\n \"function d(a,b) {\\r\\n var x = Math.max(0, a[0] - b[0], b[0] - a[1]),\\r\\n y = Math.max(0, a[2] - b[1], b[1] - a[3])\\r\\n return x+y;\\r\\n }\",\n \"function d(a,b) {\\r\\n var x = Math.max(0, a[0] - b[0], b[0] - a[1]),\\r\\n y = Math.max(0, a[2] - b[1], b[1] - a[3])\\r\\n return x+y;\\r\\n }\",\n \"function findMinMax (x,y){\\r\\n var len = x.length\\r\\n if ( y === true ){\\r\\n return Math.max(...x)\\r\\n }else{\\r\\n return Math.min(...x)\\r\\n }\\r\\n }\",\n \"function midrange (a, b,c) {\\n let min = Math.min(a, b,c);\\n let max = Math.max(a, b,c);\\n let mid = (max+min)/2\\n\\n\\n return mid; \\n}\",\n \"function highAndLow1(numbers){\\n numbers = numbers.split(' ');\\n return `${Math.max(...numbers)} ${Math.min(...numbers)}`;\\n}\",\n \"function overlaps (min1, max1, min2, max2)\\n\\t{\\n\\t\\treturn is_between (min2, min1, max1) || is_between (min1, min2, max2);\\n\\t}\",\n \"function __WEBPACK_DEFAULT_EXPORT__(range, min, max) {\\n var lo = range[0],\\n hi = range[1],\\n span;\\n\\n if (hi < lo) {\\n span = hi;\\n hi = lo;\\n lo = span;\\n }\\n span = hi - lo;\\n\\n return span >= (max - min)\\n ? [min, max]\\n : [\\n (lo = Math.min(Math.max(lo, min), max - span)),\\n lo + span\\n ];\\n}\",\n \"function mathOperations(arr){\\n let max = arr[0],min=arr[0]\\n\\n for(let i = 0;i<arr.length;i++){\\n if(arr[i]>max){\\n max = arr[i]\\n }\\n if(arr[i]<min){\\n min = arr[i]\\n }\\n }\\n\\n console.log(\\\"MAX = \\\" + max)\\n\\n console.log(\\\"Min = \\\" + min)\\n\\n console.log(\\\"Range = \\\" + (max-min))\\n}\",\n \"function between(a, b) {\\n // your code here\\n let array = []\\n let min = Math.min(a,b)\\n let max = Math.max(a,b)\\n for(let i=min; i<=max; i++){\\n array.push(i)\\n }\\n return array\\n\\n}\",\n \"mapValues(n, start1, stop1, start2, stop2) {\\n return ((n-start1)/(stop1-start1))*(stop2-start2)+start2;\\n }\",\n \"function max(a, b){\\n return a < b ? b : a;\\n}\",\n \"function minMaxProduct(array){\\n // your code here...\\n}\",\n \"function getLowerEndOfBiggerIntervalOfTwoDegreeValues(a,b) {\\n var bigger = Math.max(a,b)\\n var smaller = Math.min(a,b)\\n if (bigger - smaller > smaller + 360 - bigger) return smaller\\n else return bigger\\n}\",\n \"function getIterations(a, b) {\\n\\t\\t// Guess required precision based and size of range...\\n\\t\\t// TODO: There should be much better educated guesses for\\n\\t\\t// this. Also, what does this depend on? Required precision?\\n\\t\\treturn Math.max(2, Math.min(16, Math.ceil(Math.abs(b - a) * 32)));\\n\\t}\",\n \"function GetSum( a,b )\\n{\\n if (a === b) return a; else {\\n let min,max; let out = 0;\\n if (a < b) {min = a; max = b;} else {min = b; max = a}\\n out = 0;\\n\\n for (let i = 0; i < Math.abs(max - min); i++){\\n out += max - i;\\n }\\n return out + min;\\n }\\n}\",\n \"function range(x, y, result = []) {\\r\\n let min = Math.min(x, y);\\r\\n let max = Math.max(x, y);\\r\\n if (min === max) {\\r\\n result.push(min);\\r\\n return result;\\r\\n }\\r\\n result.push(min);\\r\\n min++;\\r\\n return range(min, max, result);\\r\\n}\",\n \"function computeBounds(x1, x2, y1, y2) {\\n return [[x1, y1], [x2, y1], [x2, y2], [x1,y2]];\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.63497293","0.6287785","0.6074114","0.6001888","0.5925367","0.5914643","0.58827174","0.5819397","0.58159214","0.5801726","0.5793916","0.5776489","0.5767991","0.57658136","0.576004","0.5758149","0.5742974","0.5724646","0.57046723","0.5695718","0.5684329","0.56808263","0.56808263","0.56808263","0.56808263","0.56808263","0.56747955","0.5646715","0.5638208","0.5637244","0.56340104","0.5627914","0.56274074","0.5625329","0.5619246","0.56066453","0.56059057","0.55865777","0.55827963","0.558046","0.5572082","0.55535585","0.5550361","0.55335057","0.5519923","0.5518163","0.5485798","0.54741704","0.5469226","0.54513216","0.5438479","0.5437878","0.54286706","0.5419574","0.54115963","0.5403901","0.53899455","0.5383458","0.5362327","0.5355372","0.5348948","0.5334899","0.5334899","0.533277","0.53322595","0.53176653","0.5315576","0.5311551","0.53112537","0.5310999","0.5307286","0.53052145","0.53009623","0.5297193","0.52854395","0.52819186","0.52809954","0.52794343","0.5278139","0.52723676","0.5269716","0.5267234","0.52661175","0.52660763","0.52660763","0.5262995","0.5259288","0.5255173","0.5252805","0.52507716","0.52484196","0.52469534","0.5237722","0.5237295","0.5237242","0.52346486","0.52336556","0.5231243","0.5228188","0.52266735"],"string":"[\n \"0.63497293\",\n \"0.6287785\",\n \"0.6074114\",\n \"0.6001888\",\n \"0.5925367\",\n \"0.5914643\",\n \"0.58827174\",\n \"0.5819397\",\n \"0.58159214\",\n \"0.5801726\",\n \"0.5793916\",\n \"0.5776489\",\n \"0.5767991\",\n \"0.57658136\",\n \"0.576004\",\n \"0.5758149\",\n \"0.5742974\",\n \"0.5724646\",\n \"0.57046723\",\n \"0.5695718\",\n \"0.5684329\",\n \"0.56808263\",\n \"0.56808263\",\n \"0.56808263\",\n \"0.56808263\",\n \"0.56808263\",\n \"0.56747955\",\n \"0.5646715\",\n \"0.5638208\",\n \"0.5637244\",\n \"0.56340104\",\n \"0.5627914\",\n \"0.56274074\",\n \"0.5625329\",\n \"0.5619246\",\n \"0.56066453\",\n \"0.56059057\",\n \"0.55865777\",\n \"0.55827963\",\n \"0.558046\",\n \"0.5572082\",\n \"0.55535585\",\n \"0.5550361\",\n \"0.55335057\",\n \"0.5519923\",\n \"0.5518163\",\n \"0.5485798\",\n \"0.54741704\",\n \"0.5469226\",\n \"0.54513216\",\n \"0.5438479\",\n \"0.5437878\",\n \"0.54286706\",\n \"0.5419574\",\n \"0.54115963\",\n \"0.5403901\",\n \"0.53899455\",\n \"0.5383458\",\n \"0.5362327\",\n \"0.5355372\",\n \"0.5348948\",\n \"0.5334899\",\n \"0.5334899\",\n \"0.533277\",\n \"0.53322595\",\n \"0.53176653\",\n \"0.5315576\",\n \"0.5311551\",\n \"0.53112537\",\n \"0.5310999\",\n \"0.5307286\",\n \"0.53052145\",\n \"0.53009623\",\n \"0.5297193\",\n \"0.52854395\",\n \"0.52819186\",\n \"0.52809954\",\n \"0.52794343\",\n \"0.5278139\",\n \"0.52723676\",\n \"0.5269716\",\n \"0.5267234\",\n \"0.52661175\",\n \"0.52660763\",\n \"0.52660763\",\n \"0.5262995\",\n \"0.5259288\",\n \"0.5255173\",\n \"0.5252805\",\n \"0.52507716\",\n \"0.52484196\",\n \"0.52469534\",\n \"0.5237722\",\n \"0.5237295\",\n \"0.5237242\",\n \"0.52346486\",\n \"0.52336556\",\n \"0.5231243\",\n \"0.5228188\",\n \"0.52266735\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.69145757"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":193,"cells":{"query":{"kind":"string","value":"To divide two intervals, Alyssa multiplies the first by the reciprocal of the second. Note that the bounds of the reciprocal interval are the reciprocal of the upper bound and the reciprocal of the lower bound, in that order."},"document":{"kind":"string","value":"function divInterval(x, y) {\n return mulInterval(x, makeInterval(1.0 / upperBound(y), 1.0 / upperBound(y)));\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function divide(a, b) {\n\t\ta = a + 0.0;\n\t\tb = b + 0.0;\n\t\tif(Math.abs(b) < 0.00001) {\n\t\t\tb = 0.0001;\n\t\t}\t\n\t\treturn a / b;\n\t}","function divide1(a, b) {\n return a / b; \n}","function divide(a, b) {\n return divide(a, b);\n}","function division(a, b) {\r\n\treturn a / b;\r\n}","function divide(a,b) {\n\treturn a / b\n}","div(a, b) {\n\t\tthis.registers[a] = Math.trunc(this.get(a) / this.get(b));\n\t}","function divide(a, b) {\r\n // if (b === 0) {\r\n // throw 'Division by zero is undefined: ' + a + '/' + b;\r\n // }\r\n var sign = 1;\r\n if (a < 0) {\r\n a = -a;\r\n sign = -sign;\r\n }\r\n if (b < 0) {\r\n b = -b;\r\n sign = -sign;\r\n }\r\n var result = 0;\r\n while (a >= 0) {\r\n a -= b;\r\n result++;\r\n }\r\n return (result - 1) * sign;\r\n }","function div(a, b) {\n return (a-(a%b))/b;\n}","function divValues(firstValue, secondValue) {\n\t\tvar result = 0; \n\t\tresult = firstValue / secondValue;\n\t\treturn result;\n\t}","function divide(a, b) {\n\t\tvar result = a / b;\n\t\treturn result;\n\t}","function avgTwoNumbers(a, b) {\n\treturn (a+b)/2;\n}","function Divide(This, A, B) {\n\n evaluate(A);\n evaluate(B);\n if (act[A] === true && act[b] === true && val[b] !== 0) {\n val[This] = val[A] / val[B];\n act[This] = true;} else \n {\n act[This] = false;}\n\n return true;}","function fractionate(val, minVal, maxVal) {\n return (val - minVal)/(maxVal - minVal);\n}","function divide(a,b){\n return a / b\n}","function divide(a, b) {\n int1 = a / b;\n return int1;\n}","function div(a, b) {\n return ~~(a / b);\n}","function linearScale (a1, b1, a2, b2) {\n return function (x1) {\n // in the interval [0, 1]\n var t = (x1 - a1) / (b1 - a1);\n // in the interval [a2, b2]\n return t * (b2 - a2) + a2;\n }\n}","function calculateRatio(l1, l2) {\n\t\treturn l1 > l2 ? l1 / l2 : l2 / l1;\n\t}","function shitty_averagizer(a, b) {\r\n return (a + b) / 2;\r\n }","function division(num1, num2){\n return -1;\n }","function division(a, b) {\n\treturn printResult(parseInt(a) / parseInt(b));\n}","function euclidDistNorm(a,b) {\n var diff=(a.map((a,i) => (a/b[i])));\n diff=(diff.map((a,i) => (1-a)*(1-a)));\n return(Math.sqrt(diff.reduce((acc,v) => acc + v)));\n}","function div(a, b, bitPrecision) {\n if (a == 0) {\n return 0;\n }\n if (a < b) {\n return 1 / _div(b, a, bitPrecision);\n }\n return _div(a, b, bitPrecision);\n}","function abTest(a, b) {\n\tif (a < 0 || b < 0) {\n\t\treturn undefined;\n\t}\n\treturn Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 0));\n}","function revDivided(v1,v2){\r\n //return v1/v2;\r\n console.log(v1/v2);\r\n }","function divide(n1, n2) {\n return n1 / n2;\n }","function goldenRatio(a, b) {\n var ratio = b / a;\n\n function getNewRatio(x, y) {\n var newRatio = x / y;\n returnRatio = 0;\n\n if ((newRatio > 1.61800) && (newRatio < 1.61806)) {\n returnRatio = newRatio;\n } else {\n getNewRatio((x + y), x);\n }\n return returnRatio;\n }\n\n if ((ratio > 1.61800) && (ratio < 1.61806)) {\n return ratio;\n } else {\n var goldenRatio = getNewRatio((a + b), b);\n return goldenRatio;\n }\n\n}","function average(a, b) {\n return (a + b) / 2;\n}","function divide_(x,y,q,r) {\n var kx, ky;\n var i,j,y1,y2,c,a,b;\n copy_(r,x);\n for (ky=y.length;y[ky-1]==0;ky--); //ky is number of elements in y, not including leading zeros\n\n //normalize: ensure the most significant element of y has its highest bit set \n b=y[ky-1];\n for (a=0; b; a++)\n b>>=1; \n a=bpe-a; //a is how many bits to shift so that the high order bit of y is leftmost in its array element\n leftShift_(y,a); //multiply both by 1<<a now, then divide both by that at the end\n leftShift_(r,a);\n\n //Rob Visser discovered a bug: the following line was originally just before the normalization.\n for (kx=r.length;r[kx-1]==0 && kx>ky;kx--); //kx is number of elements in normalized x, not including leading zeros\n\n copyInt_(q,0); // q=0\n while (!greaterShift(y,r,kx-ky)) { // while (leftShift_(y,kx-ky) <= r) {\n subShift_(r,y,kx-ky); // r=r-leftShift_(y,kx-ky)\n q[kx-ky]++; // q[kx-ky]++;\n } // }\n\n for (i=kx-1; i>=ky; i--) {\n if (r[i]==y[ky-1])\n q[i-ky]=mask;\n else\n q[i-ky]=Math.floor((r[i]*radix+r[i-1])/y[ky-1]);\n\n //The following for(;;) loop is equivalent to the commented while loop, \n //except that the uncommented version avoids overflow.\n //The commented loop comes from HAC, which assumes r[-1]==y[-1]==0\n // while (q[i-ky]*(y[ky-1]*radix+y[ky-2]) > r[i]*radix*radix+r[i-1]*radix+r[i-2])\n // q[i-ky]--; \n for (;;) {\n y2=(ky>1 ? y[ky-2] : 0)*q[i-ky];\n c=y2;\n y2=y2 & mask;\n c = (c - y2) / radix;\n y1=c+q[i-ky]*y[ky-1];\n c=y1;\n y1=y1 & mask;\n c = (c - y1) / radix;\n\n if (c==r[i] ? y1==r[i-1] ? y2>(i>1 ? r[i-2] : 0) : y1>r[i-1] : c>r[i]) \n q[i-ky]--;\n else\n break;\n }\n\n linCombShift_(r,y,-q[i-ky],i-ky); //r=r-q[i-ky]*leftShift_(y,i-ky)\n if (negative(r)) {\n addShift_(r,y,i-ky); //r=r+leftShift_(y,i-ky)\n q[i-ky]--;\n }\n }\n\n rightShift_(y,a); //undo the normalization step\n rightShift_(r,a); //undo the normalization step\n }","function rangeMatch(X1, minX1, maxX1, minX2, maxX2) {\n return minX2 + ((X1 - minX1) / (maxX1 - minX1)) * (maxX2 - minX2)\n}","function abTest(a, b) {\n if (a < 0 || b < 0) {\n return undefined;\n }\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\n}","function abTest(a, b) {\n if (a < 0 || b < 0) {\n return undefined;\n }\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\n}","function abTest(a, b) {\n if (a < 0 || b < 0) {\n return undefined;\n }\n\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\n}","function csquareintsbetween (a, b) {\n return Math.floor(Math.sqrt(b)) - 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low2) * (value - low1) / (high1 - low1);\n }","function abTest(a,b){\n if (a < 0 || b < 0){\n return undefined\n }\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b),2))\n}","function compareIntersection(a, b) {\n return ((a = a.x)[0] < 0 ? a[1] - _mathJs.halfPi - _mathJs.epsilon : _mathJs.halfPi - a[1]) - ((b = b.x)[0] < 0 ? b[1] - _mathJs.halfPi - _mathJs.epsilon : _mathJs.halfPi - b[1]);\n}","function avr(a,b) {\n return (a+b)/2;\n \n}","function map_range(value, low1, high1, low2, high2) {\r\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\r\n }","function devideTwoNumbers(x,y){\n return x / y;\n}","function bcdiv(left_operand, right_operand, scale) {\n var first, second, result;\n\n if (typeof(scale) == 'undefined') {\n scale = libbcmath.scale;\n }\n scale = ((scale < 0) ? 0 : scale);\n\n // create objects\n first = libbcmath.bc_init_num();\n second = libbcmath.bc_init_num();\n result = libbcmath.bc_init_num();\n\n first = libbcmath.php_str2num(left_operand.toString());\n second = libbcmath.php_str2num(right_operand.toString());\n\n // normalize arguments to same scale.\n if (first.n_scale > second.n_scale) second.setScale(first.n_scale);\n if (second.n_scale > first.n_scale) first.setScale(second.n_scale);\n\n\n result = libbcmath.bc_divide(first, second, scale);\n if (result === -1) {\n // error\n throw new Error(11, \"(BC) Division by zero\");\n }\n if (result.n_scale > scale) {\n result.n_scale = scale;\n }\n return result.toString();\n}","function percentage(a,b){\n return (a/b)*100;\n}","function avg(a, b) {\r\n c = ((a + b) / 2);\r\n return c;\r\n\r\n}","function avg(a, b) {\n console.log((a + b) / 2);\n}","function bnDivide(a) {\n var r = nbi();this.divRemTo(a, r, null);return r;\n }","function bnDivide(a) {\n var r = nbi();this.divRemTo(a, r, null);return r;\n }","function bnDivide(a) {\n var r = nbi();this.divRemTo(a, r, null);return r;\n }","function sumOfNumsBetween(a, b) {\n return (b * b - a * a + b - a) / 2;\n}","function abTest(a, b) {\n // Only change code below this line\n if (a < 0){\n return undefined;\n } else if (b < 0){\n return undefined;\n } \n // Only change code above this line\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\n}"],"string":"[\n \"function divide(a, b) {\\n\\t\\ta = a + 0.0;\\n\\t\\tb = b + 0.0;\\n\\t\\tif(Math.abs(b) < 0.00001) {\\n\\t\\t\\tb = 0.0001;\\n\\t\\t}\\t\\n\\t\\treturn a / b;\\n\\t}\",\n \"function divide1(a, b) {\\n return a / b; \\n}\",\n \"function divide(a, b) {\\n return divide(a, b);\\n}\",\n \"function division(a, b) {\\r\\n\\treturn a / b;\\r\\n}\",\n \"function divide(a,b) {\\n\\treturn a / b\\n}\",\n \"div(a, b) {\\n\\t\\tthis.registers[a] = Math.trunc(this.get(a) / this.get(b));\\n\\t}\",\n \"function divide(a, b) {\\r\\n // if (b === 0) {\\r\\n // throw 'Division by zero is undefined: ' + a + '/' + b;\\r\\n // }\\r\\n var sign = 1;\\r\\n if (a < 0) {\\r\\n a = -a;\\r\\n sign = -sign;\\r\\n }\\r\\n if (b < 0) {\\r\\n b = -b;\\r\\n sign = -sign;\\r\\n }\\r\\n var result = 0;\\r\\n while (a >= 0) {\\r\\n a -= b;\\r\\n result++;\\r\\n }\\r\\n return (result - 1) * sign;\\r\\n }\",\n \"function div(a, b) {\\n return (a-(a%b))/b;\\n}\",\n \"function divValues(firstValue, secondValue) {\\n\\t\\tvar result = 0; \\n\\t\\tresult = firstValue / secondValue;\\n\\t\\treturn result;\\n\\t}\",\n \"function divide(a, b) {\\n\\t\\tvar result = a / b;\\n\\t\\treturn result;\\n\\t}\",\n \"function avgTwoNumbers(a, b) {\\n\\treturn (a+b)/2;\\n}\",\n \"function Divide(This, A, B) {\\n\\n evaluate(A);\\n evaluate(B);\\n if (act[A] === true && act[b] === true && val[b] !== 0) {\\n val[This] = val[A] / val[B];\\n act[This] = true;} else \\n {\\n act[This] = false;}\\n\\n return true;}\",\n \"function fractionate(val, minVal, maxVal) {\\n return (val - minVal)/(maxVal - minVal);\\n}\",\n \"function divide(a,b){\\n return a / b\\n}\",\n \"function divide(a, b) {\\n int1 = a / b;\\n return int1;\\n}\",\n \"function div(a, b) {\\n return ~~(a / b);\\n}\",\n \"function linearScale (a1, b1, a2, b2) {\\n return function (x1) {\\n // in the interval [0, 1]\\n var t = (x1 - a1) / (b1 - a1);\\n // in the interval [a2, b2]\\n return t * (b2 - a2) + a2;\\n }\\n}\",\n \"function calculateRatio(l1, l2) {\\n\\t\\treturn l1 > l2 ? l1 / l2 : l2 / l1;\\n\\t}\",\n \"function shitty_averagizer(a, b) {\\r\\n return (a + b) / 2;\\r\\n }\",\n \"function division(num1, num2){\\n return -1;\\n }\",\n \"function division(a, b) {\\n\\treturn printResult(parseInt(a) / parseInt(b));\\n}\",\n \"function euclidDistNorm(a,b) {\\n var diff=(a.map((a,i) => (a/b[i])));\\n diff=(diff.map((a,i) => (1-a)*(1-a)));\\n return(Math.sqrt(diff.reduce((acc,v) => acc + v)));\\n}\",\n \"function div(a, b, bitPrecision) {\\n if (a == 0) {\\n return 0;\\n }\\n if (a < b) {\\n return 1 / _div(b, a, bitPrecision);\\n }\\n return _div(a, b, bitPrecision);\\n}\",\n \"function abTest(a, b) {\\n\\tif (a < 0 || b < 0) {\\n\\t\\treturn undefined;\\n\\t}\\n\\treturn Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 0));\\n}\",\n \"function revDivided(v1,v2){\\r\\n //return v1/v2;\\r\\n console.log(v1/v2);\\r\\n }\",\n \"function divide(n1, n2) {\\n return n1 / n2;\\n }\",\n \"function goldenRatio(a, b) {\\n var ratio = b / a;\\n\\n function getNewRatio(x, y) {\\n var newRatio = x / y;\\n returnRatio = 0;\\n\\n if ((newRatio > 1.61800) && (newRatio < 1.61806)) {\\n returnRatio = newRatio;\\n } else {\\n getNewRatio((x + y), x);\\n }\\n return returnRatio;\\n }\\n\\n if ((ratio > 1.61800) && (ratio < 1.61806)) {\\n return ratio;\\n } else {\\n var goldenRatio = getNewRatio((a + b), b);\\n return goldenRatio;\\n }\\n\\n}\",\n \"function average(a, b) {\\n return (a + b) / 2;\\n}\",\n \"function divide_(x,y,q,r) {\\n var kx, ky;\\n var i,j,y1,y2,c,a,b;\\n copy_(r,x);\\n for (ky=y.length;y[ky-1]==0;ky--); //ky is number of elements in y, not including leading zeros\\n\\n //normalize: ensure the most significant element of y has its highest bit set \\n b=y[ky-1];\\n for (a=0; b; a++)\\n b>>=1; \\n a=bpe-a; //a is how many bits to shift so that the high order bit of y is leftmost in its array element\\n leftShift_(y,a); //multiply both by 1<<a now, then divide both by that at the end\\n leftShift_(r,a);\\n\\n //Rob Visser discovered a bug: the following line was originally just before the normalization.\\n for (kx=r.length;r[kx-1]==0 && kx>ky;kx--); //kx is number of elements in normalized x, not including leading zeros\\n\\n copyInt_(q,0); // q=0\\n while (!greaterShift(y,r,kx-ky)) { // while (leftShift_(y,kx-ky) <= r) {\\n subShift_(r,y,kx-ky); // r=r-leftShift_(y,kx-ky)\\n q[kx-ky]++; // q[kx-ky]++;\\n } // }\\n\\n for (i=kx-1; i>=ky; i--) {\\n if (r[i]==y[ky-1])\\n q[i-ky]=mask;\\n else\\n q[i-ky]=Math.floor((r[i]*radix+r[i-1])/y[ky-1]);\\n\\n //The following for(;;) loop is equivalent to the commented while loop, \\n //except that the uncommented version avoids overflow.\\n //The commented loop comes from HAC, which assumes r[-1]==y[-1]==0\\n // while (q[i-ky]*(y[ky-1]*radix+y[ky-2]) > r[i]*radix*radix+r[i-1]*radix+r[i-2])\\n // q[i-ky]--; \\n for (;;) {\\n y2=(ky>1 ? y[ky-2] : 0)*q[i-ky];\\n c=y2;\\n y2=y2 & mask;\\n c = (c - y2) / radix;\\n y1=c+q[i-ky]*y[ky-1];\\n c=y1;\\n y1=y1 & mask;\\n c = (c - y1) / radix;\\n\\n if (c==r[i] ? y1==r[i-1] ? y2>(i>1 ? r[i-2] : 0) : y1>r[i-1] : c>r[i]) \\n q[i-ky]--;\\n else\\n break;\\n }\\n\\n linCombShift_(r,y,-q[i-ky],i-ky); //r=r-q[i-ky]*leftShift_(y,i-ky)\\n if (negative(r)) {\\n addShift_(r,y,i-ky); //r=r+leftShift_(y,i-ky)\\n q[i-ky]--;\\n }\\n }\\n\\n rightShift_(y,a); //undo the normalization step\\n rightShift_(r,a); //undo the normalization step\\n }\",\n \"function rangeMatch(X1, minX1, maxX1, minX2, maxX2) {\\n return minX2 + ((X1 - minX1) / (maxX1 - minX1)) * (maxX2 - minX2)\\n}\",\n \"function abTest(a, b) {\\n if (a < 0 || b < 0) {\\n return undefined;\\n }\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\n}\",\n \"function abTest(a, b) {\\n if (a < 0 || b < 0) {\\n return undefined;\\n }\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\n}\",\n \"function abTest(a, b) {\\n if (a < 0 || b < 0) {\\n return undefined;\\n }\\n\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\n}\",\n \"function csquareintsbetween (a, b) {\\n return Math.floor(Math.sqrt(b)) - Math.ceil(Math.sqrt(a)) + 1;\\n}\",\n \"function dividieren(a,b) {\\n if(b!=0){\\n return a / b;\\n } \\n return \\\"Divison durch 0 nicht OK!\\\";\\n}\",\n \"function abTest(a, b){\\n if (a < 0 || b < 0){\\n return undefined;\\n }\\n\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\n}\",\n \"function convertRange( value, r1, r2 ) {\\n return ( value - r1[ 0 ] ) * ( r2[ 1 ] - r2[ 0 ] ) / ( r1[ 1 ] - r1[ 0 ] ) + r2[ 0 ];\\n }\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n}\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"function bnDivide(a) { var r = nbi(); this.divRemTo(a,r,null); return r; }\",\n \"static remapRange(value, low1, high1, low2, high2) {\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\n }\",\n \"function abTest(a,b){\\n if (a < 0 || b < 0){\\n return undefined\\n }\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b),2))\\n}\",\n \"function compareIntersection(a, b) {\\n return ((a = a.x)[0] < 0 ? a[1] - _mathJs.halfPi - _mathJs.epsilon : _mathJs.halfPi - a[1]) - ((b = b.x)[0] < 0 ? b[1] - _mathJs.halfPi - _mathJs.epsilon : _mathJs.halfPi - b[1]);\\n}\",\n \"function avr(a,b) {\\n return (a+b)/2;\\n \\n}\",\n \"function map_range(value, low1, high1, low2, high2) {\\r\\n return low2 + (high2 - low2) * (value - low1) / (high1 - low1);\\r\\n }\",\n \"function devideTwoNumbers(x,y){\\n return x / y;\\n}\",\n \"function bcdiv(left_operand, right_operand, scale) {\\n var first, second, result;\\n\\n if (typeof(scale) == 'undefined') {\\n scale = libbcmath.scale;\\n }\\n scale = ((scale < 0) ? 0 : scale);\\n\\n // create objects\\n first = libbcmath.bc_init_num();\\n second = libbcmath.bc_init_num();\\n result = libbcmath.bc_init_num();\\n\\n first = libbcmath.php_str2num(left_operand.toString());\\n second = libbcmath.php_str2num(right_operand.toString());\\n\\n // normalize arguments to same scale.\\n if (first.n_scale > second.n_scale) second.setScale(first.n_scale);\\n if (second.n_scale > first.n_scale) first.setScale(second.n_scale);\\n\\n\\n result = libbcmath.bc_divide(first, second, scale);\\n if (result === -1) {\\n // error\\n throw new Error(11, \\\"(BC) Division by zero\\\");\\n }\\n if (result.n_scale > scale) {\\n result.n_scale = scale;\\n }\\n return result.toString();\\n}\",\n \"function percentage(a,b){\\n return (a/b)*100;\\n}\",\n \"function avg(a, b) {\\r\\n c = ((a + b) / 2);\\r\\n return c;\\r\\n\\r\\n}\",\n \"function avg(a, b) {\\n console.log((a + b) / 2);\\n}\",\n \"function bnDivide(a) {\\n var r = nbi();this.divRemTo(a, r, null);return r;\\n }\",\n \"function bnDivide(a) {\\n var r = nbi();this.divRemTo(a, r, null);return r;\\n }\",\n \"function bnDivide(a) {\\n var r = nbi();this.divRemTo(a, r, null);return r;\\n }\",\n \"function sumOfNumsBetween(a, b) {\\n return (b * b - a * a + b - a) / 2;\\n}\",\n \"function abTest(a, b) {\\n // Only change code below this line\\n if (a < 0){\\n return undefined;\\n } else if (b < 0){\\n return undefined;\\n } \\n // Only change code above this line\\n return Math.round(Math.pow(Math.sqrt(a) + Math.sqrt(b), 2));\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6556227","0.6140319","0.6107507","0.6097738","0.60297906","0.5959053","0.59564245","0.5914174","0.5869834","0.5859574","0.5777394","0.5768386","0.57455504","0.5718051","0.5714318","0.5704635","0.5701839","0.5690303","0.56748295","0.5670914","0.5670283","0.56592184","0.5649269","0.5610257","0.5589122","0.55734015","0.5571114","0.55605364","0.55587626","0.55499405","0.55234","0.552115","0.55118483","0.54924935","0.5487931","0.5480206","0.5452431","0.5446833","0.5446833","0.5446833","0.5446833","0.5446833","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5439156","0.5430712","0.5420088","0.5413709","0.54085493","0.5403092","0.5402116","0.54013395","0.5395657","0.5383569","0.5383128","0.53806716","0.53806716","0.53806716","0.5366134","0.53628564"],"string":"[\n \"0.6556227\",\n \"0.6140319\",\n \"0.6107507\",\n \"0.6097738\",\n \"0.60297906\",\n \"0.5959053\",\n \"0.59564245\",\n \"0.5914174\",\n \"0.5869834\",\n \"0.5859574\",\n \"0.5777394\",\n \"0.5768386\",\n \"0.57455504\",\n \"0.5718051\",\n \"0.5714318\",\n \"0.5704635\",\n \"0.5701839\",\n \"0.5690303\",\n \"0.56748295\",\n \"0.5670914\",\n \"0.5670283\",\n \"0.56592184\",\n \"0.5649269\",\n \"0.5610257\",\n \"0.5589122\",\n \"0.55734015\",\n \"0.5571114\",\n \"0.55605364\",\n \"0.55587626\",\n \"0.55499405\",\n \"0.55234\",\n \"0.552115\",\n \"0.55118483\",\n \"0.54924935\",\n \"0.5487931\",\n \"0.5480206\",\n \"0.5452431\",\n \"0.5446833\",\n \"0.5446833\",\n \"0.5446833\",\n \"0.5446833\",\n \"0.5446833\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5439156\",\n \"0.5430712\",\n \"0.5420088\",\n \"0.5413709\",\n \"0.54085493\",\n \"0.5403092\",\n \"0.5402116\",\n \"0.54013395\",\n \"0.5395657\",\n \"0.5383569\",\n \"0.5383128\",\n \"0.53806716\",\n \"0.53806716\",\n \"0.53806716\",\n \"0.5366134\",\n \"0.53628564\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6592287"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":194,"cells":{"query":{"kind":"string","value":"it is not clear what it means to divide by an interval that spans zero. Modify the program to check for this condition and to signal an error if it occurs."},"document":{"kind":"string","value":"function log(x) {\n return console.log(x);\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function divide (dividend, divisor) {\r\n// -------------------- Your Code Here --------------------\r\nif (divisor === 0) {\r\n console.log(\"Divide by 0 ERROR\");\r\n}\r\n\r\n\r\n\r\n\r\n// --------------------- End Code Area --------------------\r\n}","function caml_raise_zero_divide () {\n caml_raise_constant(caml_global_data[6]);\n}","divideByZeroHandler(dividend, divider) {\n if (parseInt(dividend, 10) === 0 && parseInt(divider, 10) === 0) {\n this.isResultUndefined = true;\n console.log(\"Result is not defined\");\n } else if (divider === \"\") {\n this.lastValue = \"1\";\n }\n }","function dividePositiveZero(input) {\n return input / 0;\n}","function dividieren(a,b) {\n if(b!=0){\n return a / b;\n } \n return \"Divison durch 0 nicht OK!\";\n}","function divide(numerator, denominator) {\n let result = numerator / denominator;\n if (numerator || denominator === 0) {\n throw Error(\"Attempted to divide by zero.\");\n }\n return result;\n}","function divide(numerator, denominator) {\n if (denominator === 0) {\n if (numerator === 0) {\n return 0;\n } else {\n return 99999999;\n }\n } else {\n return numerator / denominator;\n }\n}","function divide(num1, num2) {\n if (num2 === 0) {\n console.log(\"Division by zero is not allowed!\");\n return null\n } else {\n return num1 / num2;\n }\n}","function dividieren(a,b) {\r\n if (b!=0) \r\n {\r\n return a/b;\r\n } \r\n return \"Dividieren durch 0 nicht möglich!\";\r\n}","function checkDivision(beginRange, endRange) {\n if ((endRange > beginRange) && (endRange > 0 && endRange <= 100) && (Number.isInteger(beginRange)) && (Number.isInteger(endRange))) {\n for (let i = beginRange; endRange >= beginRange; beginRange++)\n if (!(beginRange % 2) && (beginRange % 10 !== 0)) {\n console.log(`${beginRange} is even`)\n } else if (beginRange % 3 === 0 ) {\n console.log(`${beginRange} apply to 3`)\n } else if (beginRange % 10 === 0) {\n console.log(`${beginRange} is divisible by 10`)\n }\n } else {\n return 'wrong input'\n }\n}","function division(num1, num2){\n return -1;\n }","function checkDivisibility(divider, divisor) {\n if (!divider || !divisor) {\n return 'Please input a valid number not equal to zero ';\n }\n if (divider % divisor === 0) {\n return 'It is divideable';\n } else {\n return 'It is not divideable';\n }\n \n}","function div(x, y) {\n if (y === 0) {\n throw division_by_zero;\n } else {\n return x / y | 0;\n }\n }","function dividieren(a,b) {\r\n if (b==0) { //wenn b = 0 - dann Fehlermeldung\r\n return \"Dividieren durch 0 nicht möglich!\";\r\n }\r\n else {\r\n return a / b;\r\n } \r\n}","function sakuraFall(v) {\n if(v <= 0){\n return 0;\n }\n else {\n return 400 / v;\n }\n}","function ex_3_I(x) {\n var sum = 0;\n for (i = 0; i < x.length; i++) {\n if (x[i] >= 0) {\n sum = sum + x[i];\n } \n else {\n return sum;\n }\n }\n return sum/x.length;\n}","function divitionIsInfinity(num) {\r\n if (num === 0) return true;\r\n}","function validateInitialFractions(fractions){\n\tvar f = fractions;\n\tvar length = f.length;\n\tvar fractionSign = /((\\d*)\\/(\\d*))/g;\n\tvar intRegex = /^\\d+$/;\n\tfor(var i = 0; i < length; i++){\n\t\tconsole.log(i, f[i]);\n\t\tvar member = $.trim(f[i]);\n\t\tif ( !member.match(fractionSign)) {\n\t\t\treturn false;\n\t\t} else if(divisionByZero(member)){\n\t\t\tthrow new Error(\"Division by zero: \" + member);\n\t\t}\n\t}\n\treturn true;\n }","function Divide(number, number2) {\n if (number2 === 0) {\n return console.log(\"Not possible\");\n } else {\n var result = number / number2;\n return console.log(result);\n }\n}","function letsDivide() {\n if (solution1 == 0) {\n solution1 = Number(numberBucket);\n numberBucket = \"\";\n } else {\n operate();\n second2 = \"\";\n }\n chosenOperator = \"dividor\";\n setColor();\n}","function DivisionByZero(msg){\n this.message = msg || \"\";\n }","function divide(a, b) {\n\n if ( isNaN(parseInt(a)) || isNaN(parseInt(b)) || b == 0 )\n // lazy error\n throw 'beep boop. does not compute';\n\n return 'quotient: ' + Math.floor(a/b) + ' remainder: ' + a % b;\n}","function divide(a, b) {\n\t\ta = a + 0.0;\n\t\tb = b + 0.0;\n\t\tif(Math.abs(b) < 0.00001) {\n\t\t\tb = 0.0001;\n\t\t}\t\n\t\treturn a / b;\n\t}","fractionate(val, minVal, maxVal) {\n return (val - minVal) / (maxVal - minVal);\n }","static divideTo(vec, value, out) {\n if (value !== 0) {\n out.v[0] = vec.v[0] / value;\n out.v[1] = vec.v[1] / value;\n out.v[2] = vec.v[2] / value;\n }\n else {\n console.error(\"0 division occurred!\");\n out.v[0] = Infinity;\n out.v[1] = Infinity;\n out.v[2] = Infinity;\n }\n return out;\n }","function verifyFrac(test00)\n {\n \n if (/^(\\d{1,10}[.,]\\d{1,5})$/.test(test00) && !/^(\\d{1,10}[.,][0])$/.test(test00)\n && !/^(\\d{1,10}[.,][0][0])$/.test(test00) && !/^(\\d{1,10}[.,][0][0][0])$/.test(test00) \n && !/^(\\d{1,10}[.,][0][0][0][0])$/.test(test00) && !/^(\\d{1,10}[.,][0][0][0][0][0])$/.test(test00))\n {\n var msg0 = \"It's a fraction!\";\n \n message(msg0);\n return msg0; \n \n }\n else {\n var msg0 = \"It's not a fraction!\";\n \n message(msg0);\n return msg0;\n \n }\n\n }","function divide(a, b) {\r\n // if (b === 0) {\r\n // throw 'Division by zero is undefined: ' + a + '/' + b;\r\n // }\r\n var sign = 1;\r\n if (a < 0) {\r\n a = -a;\r\n sign = -sign;\r\n }\r\n if (b < 0) {\r\n b = -b;\r\n sign = -sign;\r\n }\r\n var result = 0;\r\n while (a >= 0) {\r\n a -= b;\r\n result++;\r\n }\r\n return (result - 1) * sign;\r\n }","static _divide(vec, value, type) {\n let x;\n let y;\n if (value !== 0) {\n x = vec.v[0] / value;\n y = vec.v[1] / value;\n }\n else {\n console.error(\"0 division occurred!\");\n x = Infinity;\n y = Infinity;\n }\n return new this(x, y, { type });\n }","static divideTo(vec, value, out) {\n if (value !== 0) {\n out.v[0] = vec.v[0] / value;\n out.v[1] = vec.v[1] / value;\n out.v[2] = vec.v[2] / value;\n out.v[3] = vec.v[3] / value;\n }\n else {\n console.error(\"0 division occurred!\");\n out.v[0] = Infinity;\n out.v[1] = Infinity;\n out.v[2] = Infinity;\n out.v[3] = Infinity;\n }\n return out;\n }","static divideTo(vec, value, out) {\n if (value !== 0) {\n out.v[0] = vec.v[0] / value;\n out.v[1] = vec.v[1] / value;\n }\n else {\n console.error(\"0 division occurred!\");\n out.v[0] = Infinity;\n out.v[1] = Infinity;\n }\n return out;\n }","function divide() \n {\n \n var\tfnumber= parseInt(document.getElementById('firstoperand').value);\n var\tsnumber= parseInt(document.getElementById('secondoperand').value);\n var output=fnumber/snumber;\n if(!isNaN(output))\n {\n document.getElementById(\"result\").innerHTML = output;\n }\n else\n {\n alert(\"Please enter valid number in input\")\n }\n \n }","function divideNumber() {\n var x = document.form1.firstInputValue.value;\n var y = document.form1.secondInputValue.value;\n validationForm();\n var divideNumber = 0;\n divideNumber = Number(x) / Number(y);\n if (isNaN(divideNumber)) {\n return 0;\n }\n return document.getElementById('result').value = divideNumber;\n}","function divide1(a, b) {\n return a / b; \n}","_verifyStep() {\n const divisor = (this.props.max - this.props.min) / this.props.step;\n if (divisor % 1 !== 0) {\n throw new Error(`Given step ( ${this.props.step} ) must be \\\n a divisor of max ( ${this.props.max} )`);\n }\n }","function divide(a, b) {\n return null;\n}","function problemThree(input) {\n\n//validating input\n if (input < 2 || isNaN(input)) {\n console.log(\"Please enter a number greater than 1\");\n }\n else {\n\n//Iteratively divides the input by the denominator if it divides \n//evenly; increments up the denominator if not.\n\n for (var denominator = 2; input >= denominator; denominator++) { \n while (input % denominator === 0) {\n \t\t input /= denominator;\n\t\t }\n\t }\n console.log(denominator-1);\n }\n}","function zeroIfNanOrNull(numerator, denominator) {\n var result = numerator / denominator;\n return (isNaN(result) || (result === null)) ? 0 : result;\n }","function safe_div(a, b) {\n if (b === 0) {\n return 0\n }\n\n if (a === -2147483648 && b === -1) {\n return 0\n }\n\n return Math.floor(a / b)\n}","function div() {\r\n const y = this.stack.pop();\r\n \r\n if (y === 0) throw \"Division by zero error.\";\r\n\r\n const x = this.stack.pop();\r\n this.stack.push(x / y);\r\n}","function fractionate(val, minVal, maxVal) {\n return (val - minVal)/(maxVal - minVal);\n}","function div()\r\n{\r\n if(form.display.value==0)\r\n {\r\n form.display.value=\"Cannot divide by zero\";\r\n }\r\n\r\n else if(form.display.value==\".\" ||form.display.value==\"-\"||form.display.value==\"+\"||form.display.value==\"*\"||form.display.value==\"/\")\r\n {\r\n form.display.value=\"Invalid Expression\";\r\n }\r\n else\r\n {\r\n form.display.value=1/form.display.value;\r\n }\r\n}","getSquareRoot(num)//takes userinput\n{\n try {\n var format = /[0-9]/;\n if (format.test(num)) {\n /*\n *initialize t with the given non-negative number\n */\n var t = num;\n var epsilon = 1e-15;\n /*\n *repeat until Math.abs(t- num/t)> epsilon*t\n */\n while (Math.abs(t - num / t) > epsilon * t) {\n /*\n *replacing t with average of num/t and t\n */\n t = (num / t + t) / 2;\n }\n console.log(\"Square root of \" + num + \" is \" + t);\n }\n else {\n console.log(\"enter only numbers\");\n\n }\n\n }\n catch (error) {\n console.log(error.message);\n\n }\n}","function divorial(num){\n var i = num\n var num = num - 1\n while(num > 0){ \n var i = i / num\n num = num - 1\n }\n console.log(i)\n}","function division(a, b) {\r\n\treturn a / b;\r\n}","function divide(i,j){\n if (i==0) return \"NaN\";\n return i/j;\n}","function dividetest(v1, v2, expected) {\n results.total++;\n var r = calculator.division(v1, v2);\n if (r !== expected) {\n results.bad++;\n console.log(\"Expected \" + expected +\n \", but was \" + r);\n }\n }","function Divide(This, A, B) {\n\n evaluate(A);\n evaluate(B);\n if (act[A] === true && act[b] === true && val[b] !== 0) {\n val[This] = val[A] / val[B];\n act[This] = true;} else \n {\n act[This] = false;}\n\n return true;}","function division() {\n //Declaration de la variable number1 qui contient la valeur du premier champ\n let number1 = document.getElementById('number1').value;\n //Declaration de la variable number2 qui contient la valeur du deuxieme champ\n let number2 = document.getElementById('number2').value;\n //Condition : si number1 ou number n'est pas un nombre alors... \n if (isNaN(number1) || isNaN(number2)) {\n //... on affiche un message d'erreur\n alert('Vous devez entrer un nombre !');\n }\n // Sinon...\n else {\n //Si la valeur du deuxieme nombre est egale a 0 alors...\n if (number2 == 0) {\n //... on affiche un message d'erreur\n alert('ERREUR Division impossible par 0');\n }\n //Sinon...\n else {\n //.. on calcule le reste de la dfivision\n let result = number1 % number2;\n // On affiche le resultat\n alert(`Le reste de la division \\n${number1} / ${number2} \\n est = ${result} `);\n }\n }\n\n}","function calculateResult(a) {\n\t\n\tvar totalNums = a.length;\n\tvar positiveNums = 0;\n\tvar negativeNums = 0;\n\tvar nullNums = 0;\n\t\n\tfor(var i=0; i< totalNums; i++) {\n\t\tvar num = parseInt(a[i]);\n\t\tif(num == 0) {\n\t\t\tnullNums++;\n\t\t} else if(num > 0) {\n\t\t\tpositiveNums++;\n\t\t} else {\n\t\t\tnegativeNums++;\n\t\t}\n\t}\n\tconsole.log(calcFraction(positiveNums, totalNums));\n\tconsole.log(calcFraction(negativeNums, totalNums));\n\tconsole.log(calcFraction(nullNums, totalNums));\n}","function greedy(num, den) {\n /*\n if (num >= den) {\n console.log(\"This is not a proper fraction, please choose a numerator smaller than the denominator\");\n return false;\n }\n if (num < 0 || den < 0) {\n console.log(\"Please use positive integers for both the numerators and denominators\");\n return false;\n }\n */\n if (num === 0) {\n console.log(\" \");\n return 0;\n } else { //always possible when numerator is not 0\n //only integer values w/o division and w/o math lib funcs\n //int division func + remainder func\n const unit_fraction_den = Math.ceil(den/num); //func for int div or directly here\n // next step of greedy is not necessarily the next unit fraction,\n // but the next step for int div\n console.log(unit_fraction_den); //just output result\n //fractions explanation\n greedy(num * unit_fraction_den - den, den * unit_fraction_den);\n }\n}","function main() {\n var n = parseInt(readLine());\n arr = readLine().split(' ');\n arr = arr.map(Number);\n var b = 0;\n var z = 0;\n var l = 0;\n for (var i = arr.length - 1; i >= 0; i--) {\n \tif(arr[i] > 0){\n \t\tb++;\n \t} else if (arr[i] <0) {\n \t\tl++;\n \t} else{\n \t\tz++;\n \t}\n }\n var lr = l/arr.length;\n var zr = z/arr.length;\n var br = b/arr.length;\n\n console.log(br);\n console.log(lr);\n console.log(zr);\n}","function isAroundZero(val){return val > -EPSILON && val < EPSILON;}","function testFrac()\n {\n var test00 = testO.value;\n verifyFrac(test00);\n }","function begin () {\r\n countSec = 20\r\n if (isNaN(countSec)) alert('NaN')\r\n count()\r\n }","function isZero (f) {\n return Math.abs(f) < epsilon;\n }","function testBadCall()\n{\n assert( 1 / 0);\n}","function sakuraFall(v) {\n const s = 80 * 5;\n if (+v <= 0) return 0;\n return s / +v;\n}","function checker () {\n d = document.getElementById('input').value\n d = parseInt(d)\n if (d <= 0) {\n alert('error:the inputed diameter must be above 0')\n }\n if (d > 0) {\n calculate()\n }\n}","function diviser(n1,n2){\n if(n2 != 0){\n ajouterHistorique(n1 + ' ÷ ' + n2);\n return n1 / n2;\n }else{\n return '∞';\n }\n}","static divideVectorTo(l_vec, r_vec, out) {\n if (r_vec.v[0] !== 0 && r_vec.v[1] !== 0) {\n out.v[0] = l_vec.v[0] / r_vec.v[0];\n out.v[1] = l_vec.v[1] / r_vec.v[1];\n }\n else {\n console.error(\"0 division occurred!\");\n out.v[0] = r_vec.v[0] === 0 ? Infinity : l_vec.v[0] / r_vec.v[0];\n out.v[1] = r_vec.v[1] === 0 ? Infinity : l_vec.v[1] / r_vec.v[1];\n }\n return out;\n }","function isAroundZero(val) {\n\t return val > -EPSILON && val < EPSILON;\n\t}","function contfrac(x, epsilon) {\n let i = Math.floor(x);\n let a = [i];\n x = x - i;\n let maxerr = x;\n while (maxerr > epsilon) {\n x = 1 / x;\n i = Math.floor(x);\n a.push(i);\n x = x - i;\n maxerr = x * maxerr / i;\n }\n//printuneval(a));\n return a.reduceRight(function (x, y) {return [x[0] * y + x[1], x[0]];}, [1, 0]);\n }","function not_Anumber () {\n document.getElementById(\"Not\").innerHTML = 0/0;\n}","function es_divisor(dividendo, divisor) {\n return dividendo % divisor == 0\n}","function sc_div(x) {\n if (arguments.length === 1)\n\treturn 1/x;\n else {\n\tvar res = x;\n\tfor (var i = 1; i < arguments.length; i++)\n\t res /= arguments[i];\n\treturn res;\n }\n}","function divide(a,b) {\n\treturn a / b\n}","function divide(dividend, divisor) {\n let sign = 1;\n if ((dividend > 0 && divisor < 0) || (dividend < 0 && divisor > 0)) {\n sign = -1;\n }\n\n dividend = Math.abs(dividend);\n divisor = Math.abs(divisor);\n\n if (divisor === 1)\n return sign === 1\n ? Math.min(dividend, Math.pow(2, 31) - 1)\n : Math.max(-dividend, -Math.pow(2, 31));\n\n let counter = 0;\n while (dividend >= divisor) {\n counter++;\n dividend -= divisor;\n }\n\n return sign === 1\n ? Math.min(counter, Math.pow(2, 31) - 1)\n : Math.max(-counter, -Math.pow(2, 31));\n}","function plusMinus(arr) {\n // Write your code here\n let length = arr.length\n let positiveCount = 0\n let negativeCount = 0\n let zeroCount = 0\n \n for(let i =0; i < length; i++){\n if (arr[i] > 0){\n positiveCount ++\n }\n else if (arr[i] < 0){\n negativeCount ++\n }\n else if (arr[i] == 0){\n zeroCount ++\n }\n }\nlet negRatio = (positiveCount/length)\nlet posRatio = (negativeCount/length)\nlet zeroRatio = (zeroCount/length)\n\nconsole.log(negRatio.toFixed(6))\nconsole.log(posRatio.toFixed(6))\nconsole.log(zeroRatio.toFixed(6))\n}","static divideVectorTo(l_vec, r_vec, out) {\n if (r_vec.v[0] !== 0 && r_vec.v[1] !== 0 && r_vec.v[2] !== 0) {\n out.v[0] = l_vec.v[0] / r_vec.v[0];\n out.v[1] = l_vec.v[1] / r_vec.v[1];\n out.v[2] = l_vec.v[2] / r_vec.v[2];\n }\n else {\n console.error(\"0 division occurred!\");\n out.v[0] = r_vec.v[0] === 0 ? Infinity : l_vec.v[0] / r_vec.v[0];\n out.v[1] = r_vec.v[1] === 0 ? Infinity : l_vec.v[1] / r_vec.v[1];\n out.v[2] = r_vec.v[2] === 0 ? Infinity : l_vec.v[2] / r_vec.v[2];\n }\n return out;\n }","static divideVectorTo(l_vec, r_vec, out) {\n if (r_vec.v[0] !== 0 && r_vec.v[1] !== 0 && r_vec.v[2] !== 0 && r_vec.v[3] !== 0) {\n out.v[0] = l_vec.v[0] / r_vec.v[0];\n out.v[1] = l_vec.v[1] / r_vec.v[1];\n out.v[2] = l_vec.v[2] / r_vec.v[2];\n out.v[3] = l_vec.v[3] / r_vec.v[3];\n }\n else {\n console.error(\"0 division occurred!\");\n out.v[0] = r_vec.v[0] === 0 ? Infinity : l_vec.v[0] / r_vec.v[0];\n out.v[1] = r_vec.v[1] === 0 ? Infinity : l_vec.v[1] / r_vec.v[1];\n out.v[2] = r_vec.v[2] === 0 ? Infinity : l_vec.v[2] / r_vec.v[2];\n out.v[3] = r_vec.v[3] === 0 ? Infinity : l_vec.v[3] / r_vec.v[3];\n }\n return out;\n }","function divide(a,b){\n return a / b\n}","function inputCheck(){ \n var test = document.getElementById(\"input\").value;\n test = test/1; // test would equal NaN if invalid number.\n\n // testing for NaN in JavaScript.\n // https://stackoverflow.com/questions/30314447/how-do-you-test-for-nan-in-javascript\n if( test !== test){\t\n \tlocation.reload(true);\t\n } else {\n \tstartCount(); \n }\n}","function division_Function(a, b) { //Function returns a divided by b\n return a / b;\n}","function calculateMissingValue(m){\n\n if (m.pv === undefined || m.pv == 0) {\n \n //Formula: \n m.pv = ((m.n * m.pmt) - m.fv)*(1 / Math.pow((1 + (m.i / 100)), m.n)); \n document.getElementById(\"displayO1pv\").innerHTML = `${m.pv}`;\n }\n else if (m.i === undefined || m.i == 0) { \n alert(\"i is undefined\");\n }\n else if (m.n === undefined || m.n == 0) {\n alert(\"n is undefined\");\n }\n else if (m.fv === undefined || m.fv == 0) {\n alert(\"fv is undefined\");\n }\n else if (m.pmt === undefined || m.pmt == 0) {\n alert(\"pmt is undefined\");\n }\n else{\n alert(\"Blowthrough error. Trace number 239fg9wfh032hf03.\");\n }\n}","function divise(nbr1, nbr2){\n\t\tif(nbr2 == 0){\n\t\t\tresultat = \"math error !\"\n\t\t}else{\n\t\t\tresultat = nbr1 / nbr2;\n\t\t}\n\n\t}","function validateNumber(value) {\n if (value % 1 === 0 && value > 0) {\n return true;\n } else {\n console.log(\" **** Please enter a whole number above zero. ****\");\n }\n}","function main(input) {\nvar temp = input;\nif (temp <= 0) {\nconsole.log(\"Freezing Weather!\");\n}\n}","function divide(a, b) {\n console.log(a/b);\n}","sqrt(value)\n { var t=value;\n \n while(Math.abs(t-value/t)>Number.EPSILON*t)//condition for the step by step process of acalculting the loop.\n {\n t=((value/t)+t)/2;\n }\n \n console.log(\"THe approx root of the value is: \"+t);\n }","function isAroundZero(val) {\n return val > -EPSILON && val < EPSILON;\n }","function isAroundZero(val) {\n return val > -EPSILON && val < EPSILON;\n }","function Infinity() {}","function problem12(){\n let dividers = 2;\n let sum = 0;\n let x = 1;\n do{\n dividers = 2;\n sum = (x+1)*(x/2);\n let numRoot = (Math.floor(Math.sqrt(sum)));\n for(let y = 2; y <= numRoot; y++){\n if(sum % y === 0){\n dividers+=2;\n }\n }\n x++;\n } while(dividers<500);\n return sum;\n}","function divInterval(x, y) {\n return mulInterval(x, makeInterval(1.0 / upperBound(y), 1.0 / upperBound(y)));\n}","function testRemainder_17() {\n assertEquals(-0, -0 % Number.MAX_VALUE);\n}","function IntDiv(nominator, denominator)\n{\n\t return Math.floor(nominator/denominator);\n}","function divValues(firstValue, secondValue) {\n\t\tvar result = 0; \n\t\tresult = firstValue / secondValue;\n\t\treturn result;\n\t}","function i(e){return 0===e?0:1===e?1:2===e?2:3<=e%100&&e%100<=10?3:11<=e%100?4:5}","function i(e){return 0===e?0:1===e?1:2===e?2:3<=e%100&&e%100<=10?3:11<=e%100?4:5}","function i(e){return 0===e?0:1===e?1:2===e?2:3<=e%100&&e%100<=10?3:11<=e%100?4:5}","function divideNumbers() {\r\n const result = document.getElementById(\"addResult\");\r\n\r\n // Calculating Multiplication\r\n const divideResult = num1.value / num2.value;\r\n\r\n if (isFinite(divideResult)) {\r\n result.value = divideResult;\r\n // Hide results\r\n document.getElementById(\"result\").style.display = \"block\";\r\n\r\n // Show LOader\r\n document.getElementById(\"loading\").style.display = \"none\";\r\n } else {\r\n showError(\"Please check your Numbers..\");\r\n }\r\n}","function valueRange(){\n try {\n//Pega valor de segurança do input range \n vrange = document.getElementById('iRange').value;//pega valor do input range\n//Se valor igual \"0\" range fica off\n if(vrange == 0){var segrang = 'Off';}else{var segrang = vrange+' mt';}\n document.getElementById('vrange').innerHTML = segrang;//Imprime valor\n seguro();\n }catch(e){\n console.error('Range: '+ e);\n }\n}","function divide(num1, num2) {\r\n return num1 / num2;\r\n}","function checkNotZero(figure) {\n if (figure !== 0){\n return true;\n }else {return false;}\n }","function divi() {\r\n return 6 / 7\r\n}","harmonicNumber(number) //Function harmonic\n{\n if(isNaN(number) || (number<=0 )) // check number is greater then zero\n {\n return \" Sorry!. Input Should be a number and should be greater then zero.\"\n }\n else\n {\n var sum = 0; // Intialing variable \n for( let i = 1; i<=number ; i++)\n {\n sum = sum + (1/i); // adding values and assigning into the variable \n }\n return \"The \"+number+\"th Harmonic value is \"+sum;\n }\n}","function divide(num1, num2) {\n return num1 / num2;\n }","function Div(call, callback) {\n var divisor = call.request.divisor;\n var dividend = call.request.dividend;\n if (divisor == 0) {\n callback({\n code: grpc.status.INVALID_ARGUMENT,\n details: 'Cannot divide by zero'\n });\n } else {\n setTimeout(function () {\n callback(null, {\n quotient: Math.floor(dividend / divisor),\n remainder: dividend % divisor\n });\n }, 1); // 1 millisecond, to make sure 1 microsecond timeout from test\n // will hit. TODO: Consider fixing this.\n }\n}","function BASE_raised_EXP(base, exp) //this function not used at all; kept here for possible future use...\n{\n // for (var j = 1; j <= exp; j++)\n origexp = exp;\n if(exp < 0)\n {\n exp = exp * -1;\n }\n var z = 1;\n for (var k = 1; k <= exp ; k++)\n {\n //alert(\"begin\" + z);\n z = z * base;\n //alert(\"end\" + z);\n }\n //\n if(origexp >=0)\n {\n alert(\"answer = \" + z);\n }\n else\n {\n alert(\"answer = \" + (1/z));\n }\n}","function divide(num, den) {\n return num / den;\n}","function divide(numer, denom) {\n return numer / denom;\n}"],"string":"[\n \"function divide (dividend, divisor) {\\r\\n// -------------------- Your Code Here --------------------\\r\\nif (divisor === 0) {\\r\\n console.log(\\\"Divide by 0 ERROR\\\");\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n// --------------------- End Code Area --------------------\\r\\n}\",\n \"function caml_raise_zero_divide () {\\n caml_raise_constant(caml_global_data[6]);\\n}\",\n \"divideByZeroHandler(dividend, divider) {\\n if (parseInt(dividend, 10) === 0 && parseInt(divider, 10) === 0) {\\n this.isResultUndefined = true;\\n console.log(\\\"Result is not defined\\\");\\n } else if (divider === \\\"\\\") {\\n this.lastValue = \\\"1\\\";\\n }\\n }\",\n \"function dividePositiveZero(input) {\\n return input / 0;\\n}\",\n \"function dividieren(a,b) {\\n if(b!=0){\\n return a / b;\\n } \\n return \\\"Divison durch 0 nicht OK!\\\";\\n}\",\n \"function divide(numerator, denominator) {\\n let result = numerator / denominator;\\n if (numerator || denominator === 0) {\\n throw Error(\\\"Attempted to divide by zero.\\\");\\n }\\n return result;\\n}\",\n \"function divide(numerator, denominator) {\\n if (denominator === 0) {\\n if (numerator === 0) {\\n return 0;\\n } else {\\n return 99999999;\\n }\\n } else {\\n return numerator / denominator;\\n }\\n}\",\n \"function divide(num1, num2) {\\n if (num2 === 0) {\\n console.log(\\\"Division by zero is not allowed!\\\");\\n return null\\n } else {\\n return num1 / num2;\\n }\\n}\",\n \"function dividieren(a,b) {\\r\\n if (b!=0) \\r\\n {\\r\\n return a/b;\\r\\n } \\r\\n return \\\"Dividieren durch 0 nicht möglich!\\\";\\r\\n}\",\n \"function checkDivision(beginRange, endRange) {\\n if ((endRange > beginRange) && (endRange > 0 && endRange <= 100) && (Number.isInteger(beginRange)) && (Number.isInteger(endRange))) {\\n for (let i = beginRange; endRange >= beginRange; beginRange++)\\n if (!(beginRange % 2) && (beginRange % 10 !== 0)) {\\n console.log(`${beginRange} is even`)\\n } else if (beginRange % 3 === 0 ) {\\n console.log(`${beginRange} apply to 3`)\\n } else if (beginRange % 10 === 0) {\\n console.log(`${beginRange} is divisible by 10`)\\n }\\n } else {\\n return 'wrong input'\\n }\\n}\",\n \"function division(num1, num2){\\n return -1;\\n }\",\n \"function checkDivisibility(divider, divisor) {\\n if (!divider || !divisor) {\\n return 'Please input a valid number not equal to zero ';\\n }\\n if (divider % divisor === 0) {\\n return 'It is divideable';\\n } else {\\n return 'It is not divideable';\\n }\\n \\n}\",\n \"function div(x, y) {\\n if (y === 0) {\\n throw division_by_zero;\\n } else {\\n return x / y | 0;\\n }\\n }\",\n \"function dividieren(a,b) {\\r\\n if (b==0) { //wenn b = 0 - dann Fehlermeldung\\r\\n return \\\"Dividieren durch 0 nicht möglich!\\\";\\r\\n }\\r\\n else {\\r\\n return a / b;\\r\\n } \\r\\n}\",\n \"function sakuraFall(v) {\\n if(v <= 0){\\n return 0;\\n }\\n else {\\n return 400 / v;\\n }\\n}\",\n \"function ex_3_I(x) {\\n var sum = 0;\\n for (i = 0; i < x.length; i++) {\\n if (x[i] >= 0) {\\n sum = sum + x[i];\\n } \\n else {\\n return sum;\\n }\\n }\\n return sum/x.length;\\n}\",\n \"function divitionIsInfinity(num) {\\r\\n if (num === 0) return true;\\r\\n}\",\n \"function validateInitialFractions(fractions){\\n\\tvar f = fractions;\\n\\tvar length = f.length;\\n\\tvar fractionSign = /((\\\\d*)\\\\/(\\\\d*))/g;\\n\\tvar intRegex = /^\\\\d+$/;\\n\\tfor(var i = 0; i < length; i++){\\n\\t\\tconsole.log(i, f[i]);\\n\\t\\tvar member = $.trim(f[i]);\\n\\t\\tif ( !member.match(fractionSign)) {\\n\\t\\t\\treturn false;\\n\\t\\t} else if(divisionByZero(member)){\\n\\t\\t\\tthrow new Error(\\\"Division by zero: \\\" + member);\\n\\t\\t}\\n\\t}\\n\\treturn true;\\n }\",\n \"function Divide(number, number2) {\\n if (number2 === 0) {\\n return console.log(\\\"Not possible\\\");\\n } else {\\n var result = number / number2;\\n return console.log(result);\\n }\\n}\",\n \"function letsDivide() {\\n if (solution1 == 0) {\\n solution1 = Number(numberBucket);\\n numberBucket = \\\"\\\";\\n } else {\\n operate();\\n second2 = \\\"\\\";\\n }\\n chosenOperator = \\\"dividor\\\";\\n setColor();\\n}\",\n \"function DivisionByZero(msg){\\n this.message = msg || \\\"\\\";\\n }\",\n \"function divide(a, b) {\\n\\n if ( isNaN(parseInt(a)) || isNaN(parseInt(b)) || b == 0 )\\n // lazy error\\n throw 'beep boop. does not compute';\\n\\n return 'quotient: ' + Math.floor(a/b) + ' remainder: ' + a % b;\\n}\",\n \"function divide(a, b) {\\n\\t\\ta = a + 0.0;\\n\\t\\tb = b + 0.0;\\n\\t\\tif(Math.abs(b) < 0.00001) {\\n\\t\\t\\tb = 0.0001;\\n\\t\\t}\\t\\n\\t\\treturn a / b;\\n\\t}\",\n \"fractionate(val, minVal, maxVal) {\\n return (val - minVal) / (maxVal - minVal);\\n }\",\n \"static divideTo(vec, value, out) {\\n if (value !== 0) {\\n out.v[0] = vec.v[0] / value;\\n out.v[1] = vec.v[1] / value;\\n out.v[2] = vec.v[2] / value;\\n }\\n else {\\n console.error(\\\"0 division occurred!\\\");\\n out.v[0] = Infinity;\\n out.v[1] = Infinity;\\n out.v[2] = Infinity;\\n }\\n return out;\\n }\",\n \"function verifyFrac(test00)\\n {\\n \\n if (/^(\\\\d{1,10}[.,]\\\\d{1,5})$/.test(test00) && !/^(\\\\d{1,10}[.,][0])$/.test(test00)\\n && !/^(\\\\d{1,10}[.,][0][0])$/.test(test00) && !/^(\\\\d{1,10}[.,][0][0][0])$/.test(test00) \\n && !/^(\\\\d{1,10}[.,][0][0][0][0])$/.test(test00) && !/^(\\\\d{1,10}[.,][0][0][0][0][0])$/.test(test00))\\n {\\n var msg0 = \\\"It's a fraction!\\\";\\n \\n message(msg0);\\n return msg0; \\n \\n }\\n else {\\n var msg0 = \\\"It's not a fraction!\\\";\\n \\n message(msg0);\\n return msg0;\\n \\n }\\n\\n }\",\n \"function divide(a, b) {\\r\\n // if (b === 0) {\\r\\n // throw 'Division by zero is undefined: ' + a + '/' + b;\\r\\n // }\\r\\n var sign = 1;\\r\\n if (a < 0) {\\r\\n a = -a;\\r\\n sign = -sign;\\r\\n }\\r\\n if (b < 0) {\\r\\n b = -b;\\r\\n sign = -sign;\\r\\n }\\r\\n var result = 0;\\r\\n while (a >= 0) {\\r\\n a -= b;\\r\\n result++;\\r\\n }\\r\\n return (result - 1) * sign;\\r\\n }\",\n \"static _divide(vec, value, type) {\\n let x;\\n let y;\\n if (value !== 0) {\\n x = vec.v[0] / value;\\n y = vec.v[1] / value;\\n }\\n else {\\n console.error(\\\"0 division occurred!\\\");\\n x = Infinity;\\n y = Infinity;\\n }\\n return new this(x, y, { type });\\n }\",\n \"static divideTo(vec, value, out) {\\n if (value !== 0) {\\n out.v[0] = vec.v[0] / value;\\n out.v[1] = vec.v[1] / value;\\n out.v[2] = vec.v[2] / value;\\n out.v[3] = vec.v[3] / value;\\n }\\n else {\\n console.error(\\\"0 division occurred!\\\");\\n out.v[0] = Infinity;\\n out.v[1] = Infinity;\\n out.v[2] = Infinity;\\n out.v[3] = Infinity;\\n }\\n return out;\\n }\",\n \"static divideTo(vec, value, out) {\\n if (value !== 0) {\\n out.v[0] = vec.v[0] / value;\\n out.v[1] = vec.v[1] / value;\\n }\\n else {\\n console.error(\\\"0 division occurred!\\\");\\n out.v[0] = Infinity;\\n out.v[1] = Infinity;\\n }\\n return out;\\n }\",\n \"function divide() \\n {\\n \\n var\\tfnumber= parseInt(document.getElementById('firstoperand').value);\\n var\\tsnumber= parseInt(document.getElementById('secondoperand').value);\\n var output=fnumber/snumber;\\n if(!isNaN(output))\\n {\\n document.getElementById(\\\"result\\\").innerHTML = output;\\n }\\n else\\n {\\n alert(\\\"Please enter valid number in input\\\")\\n }\\n \\n }\",\n \"function divideNumber() {\\n var x = document.form1.firstInputValue.value;\\n var y = document.form1.secondInputValue.value;\\n validationForm();\\n var divideNumber = 0;\\n divideNumber = Number(x) / Number(y);\\n if (isNaN(divideNumber)) {\\n return 0;\\n }\\n return document.getElementById('result').value = divideNumber;\\n}\",\n \"function divide1(a, b) {\\n return a / b; \\n}\",\n \"_verifyStep() {\\n const divisor = (this.props.max - this.props.min) / this.props.step;\\n if (divisor % 1 !== 0) {\\n throw new Error(`Given step ( ${this.props.step} ) must be \\\\\\n a divisor of max ( ${this.props.max} )`);\\n }\\n }\",\n \"function divide(a, b) {\\n return null;\\n}\",\n \"function problemThree(input) {\\n\\n//validating input\\n if (input < 2 || isNaN(input)) {\\n console.log(\\\"Please enter a number greater than 1\\\");\\n }\\n else {\\n\\n//Iteratively divides the input by the denominator if it divides \\n//evenly; increments up the denominator if not.\\n\\n for (var denominator = 2; input >= denominator; denominator++) { \\n while (input % denominator === 0) {\\n \\t\\t input /= denominator;\\n\\t\\t }\\n\\t }\\n console.log(denominator-1);\\n }\\n}\",\n \"function zeroIfNanOrNull(numerator, denominator) {\\n var result = numerator / denominator;\\n return (isNaN(result) || (result === null)) ? 0 : result;\\n }\",\n \"function safe_div(a, b) {\\n if (b === 0) {\\n return 0\\n }\\n\\n if (a === -2147483648 && b === -1) {\\n return 0\\n }\\n\\n return Math.floor(a / b)\\n}\",\n \"function div() {\\r\\n const y = this.stack.pop();\\r\\n \\r\\n if (y === 0) throw \\\"Division by zero error.\\\";\\r\\n\\r\\n const x = this.stack.pop();\\r\\n this.stack.push(x / y);\\r\\n}\",\n \"function fractionate(val, minVal, maxVal) {\\n return (val - minVal)/(maxVal - minVal);\\n}\",\n \"function div()\\r\\n{\\r\\n if(form.display.value==0)\\r\\n {\\r\\n form.display.value=\\\"Cannot divide by zero\\\";\\r\\n }\\r\\n\\r\\n else if(form.display.value==\\\".\\\" ||form.display.value==\\\"-\\\"||form.display.value==\\\"+\\\"||form.display.value==\\\"*\\\"||form.display.value==\\\"/\\\")\\r\\n {\\r\\n form.display.value=\\\"Invalid Expression\\\";\\r\\n }\\r\\n else\\r\\n {\\r\\n form.display.value=1/form.display.value;\\r\\n }\\r\\n}\",\n \"getSquareRoot(num)//takes userinput\\n{\\n try {\\n var format = /[0-9]/;\\n if (format.test(num)) {\\n /*\\n *initialize t with the given non-negative number\\n */\\n var t = num;\\n var epsilon = 1e-15;\\n /*\\n *repeat until Math.abs(t- num/t)> epsilon*t\\n */\\n while (Math.abs(t - num / t) > epsilon * t) {\\n /*\\n *replacing t with average of num/t and t\\n */\\n t = (num / t + t) / 2;\\n }\\n console.log(\\\"Square root of \\\" + num + \\\" is \\\" + t);\\n }\\n else {\\n console.log(\\\"enter only numbers\\\");\\n\\n }\\n\\n }\\n catch (error) {\\n console.log(error.message);\\n\\n }\\n}\",\n \"function divorial(num){\\n var i = num\\n var num = num - 1\\n while(num > 0){ \\n var i = i / num\\n num = num - 1\\n }\\n console.log(i)\\n}\",\n \"function division(a, b) {\\r\\n\\treturn a / b;\\r\\n}\",\n \"function divide(i,j){\\n if (i==0) return \\\"NaN\\\";\\n return i/j;\\n}\",\n \"function dividetest(v1, v2, expected) {\\n results.total++;\\n var r = calculator.division(v1, v2);\\n if (r !== expected) {\\n results.bad++;\\n console.log(\\\"Expected \\\" + expected +\\n \\\", but was \\\" + r);\\n }\\n }\",\n \"function Divide(This, A, B) {\\n\\n evaluate(A);\\n evaluate(B);\\n if (act[A] === true && act[b] === true && val[b] !== 0) {\\n val[This] = val[A] / val[B];\\n act[This] = true;} else \\n {\\n act[This] = false;}\\n\\n return true;}\",\n \"function division() {\\n //Declaration de la variable number1 qui contient la valeur du premier champ\\n let number1 = document.getElementById('number1').value;\\n //Declaration de la variable number2 qui contient la valeur du deuxieme champ\\n let number2 = document.getElementById('number2').value;\\n //Condition : si number1 ou number n'est pas un nombre alors... \\n if (isNaN(number1) || isNaN(number2)) {\\n //... on affiche un message d'erreur\\n alert('Vous devez entrer un nombre !');\\n }\\n // Sinon...\\n else {\\n //Si la valeur du deuxieme nombre est egale a 0 alors...\\n if (number2 == 0) {\\n //... on affiche un message d'erreur\\n alert('ERREUR Division impossible par 0');\\n }\\n //Sinon...\\n else {\\n //.. on calcule le reste de la dfivision\\n let result = number1 % number2;\\n // On affiche le resultat\\n alert(`Le reste de la division \\\\n${number1} / ${number2} \\\\n est = ${result} `);\\n }\\n }\\n\\n}\",\n \"function calculateResult(a) {\\n\\t\\n\\tvar totalNums = a.length;\\n\\tvar positiveNums = 0;\\n\\tvar negativeNums = 0;\\n\\tvar nullNums = 0;\\n\\t\\n\\tfor(var i=0; i< totalNums; i++) {\\n\\t\\tvar num = parseInt(a[i]);\\n\\t\\tif(num == 0) {\\n\\t\\t\\tnullNums++;\\n\\t\\t} else if(num > 0) {\\n\\t\\t\\tpositiveNums++;\\n\\t\\t} else {\\n\\t\\t\\tnegativeNums++;\\n\\t\\t}\\n\\t}\\n\\tconsole.log(calcFraction(positiveNums, totalNums));\\n\\tconsole.log(calcFraction(negativeNums, totalNums));\\n\\tconsole.log(calcFraction(nullNums, totalNums));\\n}\",\n \"function greedy(num, den) {\\n /*\\n if (num >= den) {\\n console.log(\\\"This is not a proper fraction, please choose a numerator smaller than the denominator\\\");\\n return false;\\n }\\n if (num < 0 || den < 0) {\\n console.log(\\\"Please use positive integers for both the numerators and denominators\\\");\\n return false;\\n }\\n */\\n if (num === 0) {\\n console.log(\\\" \\\");\\n return 0;\\n } else { //always possible when numerator is not 0\\n //only integer values w/o division and w/o math lib funcs\\n //int division func + remainder func\\n const unit_fraction_den = Math.ceil(den/num); //func for int div or directly here\\n // next step of greedy is not necessarily the next unit fraction,\\n // but the next step for int div\\n console.log(unit_fraction_den); //just output result\\n //fractions explanation\\n greedy(num * unit_fraction_den - den, den * unit_fraction_den);\\n }\\n}\",\n \"function main() {\\n var n = parseInt(readLine());\\n arr = readLine().split(' ');\\n arr = arr.map(Number);\\n var b = 0;\\n var z = 0;\\n var l = 0;\\n for (var i = arr.length - 1; i >= 0; i--) {\\n \\tif(arr[i] > 0){\\n \\t\\tb++;\\n \\t} else if (arr[i] <0) {\\n \\t\\tl++;\\n \\t} else{\\n \\t\\tz++;\\n \\t}\\n }\\n var lr = l/arr.length;\\n var zr = z/arr.length;\\n var br = b/arr.length;\\n\\n console.log(br);\\n console.log(lr);\\n console.log(zr);\\n}\",\n \"function isAroundZero(val){return val > -EPSILON && val < EPSILON;}\",\n \"function testFrac()\\n {\\n var test00 = testO.value;\\n verifyFrac(test00);\\n }\",\n \"function begin () {\\r\\n countSec = 20\\r\\n if (isNaN(countSec)) alert('NaN')\\r\\n count()\\r\\n }\",\n \"function isZero (f) {\\n return Math.abs(f) < epsilon;\\n }\",\n \"function testBadCall()\\n{\\n assert( 1 / 0);\\n}\",\n \"function sakuraFall(v) {\\n const s = 80 * 5;\\n if (+v <= 0) return 0;\\n return s / +v;\\n}\",\n \"function checker () {\\n d = document.getElementById('input').value\\n d = parseInt(d)\\n if (d <= 0) {\\n alert('error:the inputed diameter must be above 0')\\n }\\n if (d > 0) {\\n calculate()\\n }\\n}\",\n \"function diviser(n1,n2){\\n if(n2 != 0){\\n ajouterHistorique(n1 + ' ÷ ' + n2);\\n return n1 / n2;\\n }else{\\n return '∞';\\n }\\n}\",\n \"static divideVectorTo(l_vec, r_vec, out) {\\n if (r_vec.v[0] !== 0 && r_vec.v[1] !== 0) {\\n out.v[0] = l_vec.v[0] / r_vec.v[0];\\n out.v[1] = l_vec.v[1] / r_vec.v[1];\\n }\\n else {\\n console.error(\\\"0 division occurred!\\\");\\n out.v[0] = r_vec.v[0] === 0 ? Infinity : l_vec.v[0] / r_vec.v[0];\\n out.v[1] = r_vec.v[1] === 0 ? Infinity : l_vec.v[1] / r_vec.v[1];\\n }\\n return out;\\n }\",\n \"function isAroundZero(val) {\\n\\t return val > -EPSILON && val < EPSILON;\\n\\t}\",\n \"function contfrac(x, epsilon) {\\n let i = Math.floor(x);\\n let a = [i];\\n x = x - i;\\n let maxerr = x;\\n while (maxerr > epsilon) {\\n x = 1 / x;\\n i = Math.floor(x);\\n a.push(i);\\n x = x - i;\\n maxerr = x * maxerr / i;\\n }\\n//printuneval(a));\\n return a.reduceRight(function (x, y) {return [x[0] * y + x[1], x[0]];}, [1, 0]);\\n }\",\n \"function not_Anumber () {\\n document.getElementById(\\\"Not\\\").innerHTML = 0/0;\\n}\",\n \"function es_divisor(dividendo, divisor) {\\n return dividendo % divisor == 0\\n}\",\n \"function sc_div(x) {\\n if (arguments.length === 1)\\n\\treturn 1/x;\\n else {\\n\\tvar res = x;\\n\\tfor (var i = 1; i < arguments.length; i++)\\n\\t res /= arguments[i];\\n\\treturn res;\\n }\\n}\",\n \"function divide(a,b) {\\n\\treturn a / b\\n}\",\n \"function divide(dividend, divisor) {\\n let sign = 1;\\n if ((dividend > 0 && divisor < 0) || (dividend < 0 && divisor > 0)) {\\n sign = -1;\\n }\\n\\n dividend = Math.abs(dividend);\\n divisor = Math.abs(divisor);\\n\\n if (divisor === 1)\\n return sign === 1\\n ? Math.min(dividend, Math.pow(2, 31) - 1)\\n : Math.max(-dividend, -Math.pow(2, 31));\\n\\n let counter = 0;\\n while (dividend >= divisor) {\\n counter++;\\n dividend -= divisor;\\n }\\n\\n return sign === 1\\n ? Math.min(counter, Math.pow(2, 31) - 1)\\n : Math.max(-counter, -Math.pow(2, 31));\\n}\",\n \"function plusMinus(arr) {\\n // Write your code here\\n let length = arr.length\\n let positiveCount = 0\\n let negativeCount = 0\\n let zeroCount = 0\\n \\n for(let i =0; i < length; i++){\\n if (arr[i] > 0){\\n positiveCount ++\\n }\\n else if (arr[i] < 0){\\n negativeCount ++\\n }\\n else if (arr[i] == 0){\\n zeroCount ++\\n }\\n }\\nlet negRatio = (positiveCount/length)\\nlet posRatio = (negativeCount/length)\\nlet zeroRatio = (zeroCount/length)\\n\\nconsole.log(negRatio.toFixed(6))\\nconsole.log(posRatio.toFixed(6))\\nconsole.log(zeroRatio.toFixed(6))\\n}\",\n \"static divideVectorTo(l_vec, r_vec, out) {\\n if (r_vec.v[0] !== 0 && r_vec.v[1] !== 0 && r_vec.v[2] !== 0) {\\n out.v[0] = l_vec.v[0] / r_vec.v[0];\\n out.v[1] = l_vec.v[1] / r_vec.v[1];\\n out.v[2] = l_vec.v[2] / r_vec.v[2];\\n }\\n else {\\n console.error(\\\"0 division occurred!\\\");\\n out.v[0] = r_vec.v[0] === 0 ? Infinity : l_vec.v[0] / r_vec.v[0];\\n out.v[1] = r_vec.v[1] === 0 ? Infinity : l_vec.v[1] / r_vec.v[1];\\n out.v[2] = r_vec.v[2] === 0 ? Infinity : l_vec.v[2] / r_vec.v[2];\\n }\\n return out;\\n }\",\n \"static divideVectorTo(l_vec, r_vec, out) {\\n if (r_vec.v[0] !== 0 && r_vec.v[1] !== 0 && r_vec.v[2] !== 0 && r_vec.v[3] !== 0) {\\n out.v[0] = l_vec.v[0] / r_vec.v[0];\\n out.v[1] = l_vec.v[1] / r_vec.v[1];\\n out.v[2] = l_vec.v[2] / r_vec.v[2];\\n out.v[3] = l_vec.v[3] / r_vec.v[3];\\n }\\n else {\\n console.error(\\\"0 division occurred!\\\");\\n out.v[0] = r_vec.v[0] === 0 ? Infinity : l_vec.v[0] / r_vec.v[0];\\n out.v[1] = r_vec.v[1] === 0 ? Infinity : l_vec.v[1] / r_vec.v[1];\\n out.v[2] = r_vec.v[2] === 0 ? Infinity : l_vec.v[2] / r_vec.v[2];\\n out.v[3] = r_vec.v[3] === 0 ? Infinity : l_vec.v[3] / r_vec.v[3];\\n }\\n return out;\\n }\",\n \"function divide(a,b){\\n return a / b\\n}\",\n \"function inputCheck(){ \\n var test = document.getElementById(\\\"input\\\").value;\\n test = test/1; // test would equal NaN if invalid number.\\n\\n // testing for NaN in JavaScript.\\n // https://stackoverflow.com/questions/30314447/how-do-you-test-for-nan-in-javascript\\n if( test !== test){\\t\\n \\tlocation.reload(true);\\t\\n } else {\\n \\tstartCount(); \\n }\\n}\",\n \"function division_Function(a, b) { //Function returns a divided by b\\n return a / b;\\n}\",\n \"function calculateMissingValue(m){\\n\\n if (m.pv === undefined || m.pv == 0) {\\n \\n //Formula: \\n m.pv = ((m.n * m.pmt) - m.fv)*(1 / Math.pow((1 + (m.i / 100)), m.n)); \\n document.getElementById(\\\"displayO1pv\\\").innerHTML = `${m.pv}`;\\n }\\n else if (m.i === undefined || m.i == 0) { \\n alert(\\\"i is undefined\\\");\\n }\\n else if (m.n === undefined || m.n == 0) {\\n alert(\\\"n is undefined\\\");\\n }\\n else if (m.fv === undefined || m.fv == 0) {\\n alert(\\\"fv is undefined\\\");\\n }\\n else if (m.pmt === undefined || m.pmt == 0) {\\n alert(\\\"pmt is undefined\\\");\\n }\\n else{\\n alert(\\\"Blowthrough error. Trace number 239fg9wfh032hf03.\\\");\\n }\\n}\",\n \"function divise(nbr1, nbr2){\\n\\t\\tif(nbr2 == 0){\\n\\t\\t\\tresultat = \\\"math error !\\\"\\n\\t\\t}else{\\n\\t\\t\\tresultat = nbr1 / nbr2;\\n\\t\\t}\\n\\n\\t}\",\n \"function validateNumber(value) {\\n if (value % 1 === 0 && value > 0) {\\n return true;\\n } else {\\n console.log(\\\" **** Please enter a whole number above zero. ****\\\");\\n }\\n}\",\n \"function main(input) {\\nvar temp = input;\\nif (temp <= 0) {\\nconsole.log(\\\"Freezing Weather!\\\");\\n}\\n}\",\n \"function divide(a, b) {\\n console.log(a/b);\\n}\",\n \"sqrt(value)\\n { var t=value;\\n \\n while(Math.abs(t-value/t)>Number.EPSILON*t)//condition for the step by step process of acalculting the loop.\\n {\\n t=((value/t)+t)/2;\\n }\\n \\n console.log(\\\"THe approx root of the value is: \\\"+t);\\n }\",\n \"function isAroundZero(val) {\\n return val > -EPSILON && val < EPSILON;\\n }\",\n \"function isAroundZero(val) {\\n return val > -EPSILON && val < EPSILON;\\n }\",\n \"function Infinity() {}\",\n \"function problem12(){\\n let dividers = 2;\\n let sum = 0;\\n let x = 1;\\n do{\\n dividers = 2;\\n sum = (x+1)*(x/2);\\n let numRoot = (Math.floor(Math.sqrt(sum)));\\n for(let y = 2; y <= numRoot; y++){\\n if(sum % y === 0){\\n dividers+=2;\\n }\\n }\\n x++;\\n } while(dividers<500);\\n return sum;\\n}\",\n \"function divInterval(x, y) {\\n return mulInterval(x, makeInterval(1.0 / upperBound(y), 1.0 / upperBound(y)));\\n}\",\n \"function testRemainder_17() {\\n assertEquals(-0, -0 % Number.MAX_VALUE);\\n}\",\n \"function IntDiv(nominator, denominator)\\n{\\n\\t return Math.floor(nominator/denominator);\\n}\",\n \"function divValues(firstValue, secondValue) {\\n\\t\\tvar result = 0; \\n\\t\\tresult = firstValue / secondValue;\\n\\t\\treturn result;\\n\\t}\",\n \"function i(e){return 0===e?0:1===e?1:2===e?2:3<=e%100&&e%100<=10?3:11<=e%100?4:5}\",\n \"function i(e){return 0===e?0:1===e?1:2===e?2:3<=e%100&&e%100<=10?3:11<=e%100?4:5}\",\n \"function i(e){return 0===e?0:1===e?1:2===e?2:3<=e%100&&e%100<=10?3:11<=e%100?4:5}\",\n \"function divideNumbers() {\\r\\n const result = document.getElementById(\\\"addResult\\\");\\r\\n\\r\\n // Calculating Multiplication\\r\\n const divideResult = num1.value / num2.value;\\r\\n\\r\\n if (isFinite(divideResult)) {\\r\\n result.value = divideResult;\\r\\n // Hide results\\r\\n document.getElementById(\\\"result\\\").style.display = \\\"block\\\";\\r\\n\\r\\n // Show LOader\\r\\n document.getElementById(\\\"loading\\\").style.display = \\\"none\\\";\\r\\n } else {\\r\\n showError(\\\"Please check your Numbers..\\\");\\r\\n }\\r\\n}\",\n \"function valueRange(){\\n try {\\n//Pega valor de segurança do input range \\n vrange = document.getElementById('iRange').value;//pega valor do input range\\n//Se valor igual \\\"0\\\" range fica off\\n if(vrange == 0){var segrang = 'Off';}else{var segrang = vrange+' mt';}\\n document.getElementById('vrange').innerHTML = segrang;//Imprime valor\\n seguro();\\n }catch(e){\\n console.error('Range: '+ e);\\n }\\n}\",\n \"function divide(num1, num2) {\\r\\n return num1 / num2;\\r\\n}\",\n \"function checkNotZero(figure) {\\n if (figure !== 0){\\n return true;\\n }else {return false;}\\n }\",\n \"function divi() {\\r\\n return 6 / 7\\r\\n}\",\n \"harmonicNumber(number) //Function harmonic\\n{\\n if(isNaN(number) || (number<=0 )) // check number is greater then zero\\n {\\n return \\\" Sorry!. Input Should be a number and should be greater then zero.\\\"\\n }\\n else\\n {\\n var sum = 0; // Intialing variable \\n for( let i = 1; i<=number ; i++)\\n {\\n sum = sum + (1/i); // adding values and assigning into the variable \\n }\\n return \\\"The \\\"+number+\\\"th Harmonic value is \\\"+sum;\\n }\\n}\",\n \"function divide(num1, num2) {\\n return num1 / num2;\\n }\",\n \"function Div(call, callback) {\\n var divisor = call.request.divisor;\\n var dividend = call.request.dividend;\\n if (divisor == 0) {\\n callback({\\n code: grpc.status.INVALID_ARGUMENT,\\n details: 'Cannot divide by zero'\\n });\\n } else {\\n setTimeout(function () {\\n callback(null, {\\n quotient: Math.floor(dividend / divisor),\\n remainder: dividend % divisor\\n });\\n }, 1); // 1 millisecond, to make sure 1 microsecond timeout from test\\n // will hit. TODO: Consider fixing this.\\n }\\n}\",\n \"function BASE_raised_EXP(base, exp) //this function not used at all; kept here for possible future use...\\n{\\n // for (var j = 1; j <= exp; j++)\\n origexp = exp;\\n if(exp < 0)\\n {\\n exp = exp * -1;\\n }\\n var z = 1;\\n for (var k = 1; k <= exp ; k++)\\n {\\n //alert(\\\"begin\\\" + z);\\n z = z * base;\\n //alert(\\\"end\\\" + z);\\n }\\n //\\n if(origexp >=0)\\n {\\n alert(\\\"answer = \\\" + z);\\n }\\n else\\n {\\n alert(\\\"answer = \\\" + (1/z));\\n }\\n}\",\n \"function divide(num, den) {\\n return num / den;\\n}\",\n \"function divide(numer, denom) {\\n return numer / denom;\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7107541","0.6943888","0.66407484","0.66097045","0.62188107","0.6172213","0.6009928","0.596499","0.5939883","0.58870673","0.5883719","0.5857439","0.581766","0.57899725","0.5774233","0.5692952","0.5684881","0.5644853","0.56400067","0.5629245","0.56149054","0.56010544","0.5585648","0.5569872","0.55689985","0.55509496","0.55478144","0.5545938","0.5542001","0.55404127","0.5535717","0.55335283","0.54889894","0.54853296","0.5444469","0.54007035","0.53898126","0.53797334","0.5352572","0.53491825","0.53488743","0.5348215","0.53448516","0.5337077","0.5327391","0.5325572","0.532543","0.52862144","0.52810866","0.52788645","0.5266278","0.5262404","0.52620274","0.5245243","0.5227322","0.522721","0.5200344","0.517439","0.5153195","0.51516265","0.512685","0.51236343","0.51182836","0.51170325","0.51051366","0.5102047","0.509325","0.50822765","0.5081125","0.5080005","0.50771487","0.5075763","0.5070463","0.506991","0.50643945","0.50641465","0.5058342","0.50534815","0.5036306","0.50311595","0.50311595","0.5029388","0.5020617","0.50187004","0.5015201","0.50067514","0.5002418","0.49988577","0.49988577","0.49988577","0.4996582","0.49921742","0.49898285","0.49887046","0.49866244","0.4982395","0.49744675","0.49713892","0.49665686","0.4955917","0.4938594"],"string":"[\n \"0.7107541\",\n \"0.6943888\",\n \"0.66407484\",\n \"0.66097045\",\n \"0.62188107\",\n \"0.6172213\",\n \"0.6009928\",\n \"0.596499\",\n \"0.5939883\",\n \"0.58870673\",\n \"0.5883719\",\n \"0.5857439\",\n \"0.581766\",\n \"0.57899725\",\n \"0.5774233\",\n \"0.5692952\",\n \"0.5684881\",\n \"0.5644853\",\n \"0.56400067\",\n \"0.5629245\",\n \"0.56149054\",\n \"0.56010544\",\n \"0.5585648\",\n \"0.5569872\",\n \"0.55689985\",\n \"0.55509496\",\n \"0.55478144\",\n \"0.5545938\",\n \"0.5542001\",\n \"0.55404127\",\n \"0.5535717\",\n \"0.55335283\",\n \"0.54889894\",\n \"0.54853296\",\n \"0.5444469\",\n \"0.54007035\",\n \"0.53898126\",\n \"0.53797334\",\n \"0.5352572\",\n \"0.53491825\",\n \"0.53488743\",\n \"0.5348215\",\n \"0.53448516\",\n \"0.5337077\",\n \"0.5327391\",\n \"0.5325572\",\n \"0.532543\",\n \"0.52862144\",\n \"0.52810866\",\n \"0.52788645\",\n \"0.5266278\",\n \"0.5262404\",\n \"0.52620274\",\n \"0.5245243\",\n \"0.5227322\",\n \"0.522721\",\n \"0.5200344\",\n \"0.517439\",\n \"0.5153195\",\n \"0.51516265\",\n \"0.512685\",\n \"0.51236343\",\n \"0.51182836\",\n \"0.51170325\",\n \"0.51051366\",\n \"0.5102047\",\n \"0.509325\",\n \"0.50822765\",\n \"0.5081125\",\n \"0.5080005\",\n \"0.50771487\",\n \"0.5075763\",\n \"0.5070463\",\n \"0.506991\",\n \"0.50643945\",\n \"0.50641465\",\n \"0.5058342\",\n \"0.50534815\",\n \"0.5036306\",\n \"0.50311595\",\n \"0.50311595\",\n \"0.5029388\",\n \"0.5020617\",\n \"0.50187004\",\n \"0.5015201\",\n \"0.50067514\",\n \"0.5002418\",\n \"0.49988577\",\n \"0.49988577\",\n \"0.49988577\",\n \"0.4996582\",\n \"0.49921742\",\n \"0.49898285\",\n \"0.49887046\",\n \"0.49866244\",\n \"0.4982395\",\n \"0.49744675\",\n \"0.49713892\",\n \"0.49665686\",\n \"0.4955917\",\n \"0.4938594\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":195,"cells":{"query":{"kind":"string","value":"Define a constructor make_center_percent that takes a center and a percentage tolerance and produces the desired interval. You must also define a selector percent that produces the percentage tolerance for a given interval. The center selector is the same as the one shown above."},"document":{"kind":"string","value":"function makeCenterPercent(center, percent, width = center * (percent / 100)) {\n return makeCenterWidth(center, width);\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function getCubicBezierXYatPercent(startPt,controlPt1,controlPt2,endPt,percent){\n var x=CubicN(percent,startPt.x,controlPt1.x,controlPt2.x,endPt.x);\n var y=CubicN(percent,startPt.y,controlPt1.y,controlPt2.y,endPt.y);\n return({x:x,y:y});\n }","percent(val) {\n this._percent = val;\n return this;\n }","function percent(value) {\n return new Percent(value);\n}","function calcPercent(target, total){ //Declare and define function\n return target / total * 100; //Code to be calculated and returned when the function is called\n}","static interpolate(start, end, percent) {\n return (end - start) * percent + start;\n }","function produceTipCalculator(percent) {\n return function(fare) {\n return percent * fare;\n };\n}","function calcPointToPercentage(calcPoint) {\n var location = calcPoint - offset(scope_Base, options.ort);\n var proposal = (location * 100) / baseSize();\n\n // Clamp proposal between 0% and 100%\n // Out-of-bound coordinates may occur when .noUi-base pseudo-elements\n // are used (e.g. contained handles feature)\n proposal = limit(proposal);\n\n return options.dir ? 100 - proposal : proposal;\n }","function calcPointToPercentage(calcPoint) {\n var location = calcPoint - offset(scope_Base, options.ort);\n var proposal = (location * 100) / baseSize();\n\n // Clamp proposal between 0% and 100%\n // Out-of-bound coordinates may occur when .noUi-base pseudo-elements\n // are used (e.g. contained handles feature)\n proposal = limit(proposal);\n\n return options.dir ? 100 - proposal : proposal;\n }","function calcPointToPercentage(calcPoint) {\n var location = calcPoint - offset(scope_Base, options.ort);\n var proposal = (location * 100) / baseSize();\n\n // Clamp proposal between 0% and 100%\n // Out-of-bound coordinates may occur when .noUi-base pseudo-elements\n // are used (e.g. contained handles feature)\n proposal = limit(proposal);\n\n return options.dir ? 100 - proposal : proposal;\n }","function calcPointToPercentage(calcPoint) {\n var location = calcPoint - offset(scope_Base, options.ort);\n var proposal = (location * 100) / baseSize();\n\n // Clamp proposal between 0% and 100%\n // Out-of-bound coordinates may occur when .noUi-base pseudo-elements\n // are used (e.g. contained handles feature)\n proposal = limit(proposal);\n\n return options.dir ? 100 - proposal : proposal;\n }","function calcPointToPercentage(calcPoint) {\n var location = calcPoint - offset(scope_Base, options.ort);\n var proposal = (location * 100) / baseSize();\n // Clamp proposal between 0% and 100%\n // Out-of-bound coordinates may occur when .noUi-base pseudo-elements\n // are used (e.g. contained handles feature)\n proposal = limit(proposal);\n return options.dir ? 100 - proposal : proposal;\n }","function Range(percent) {\n\tthis.percent = percent;\n\tthis.pocketPairs = this.getPreFlopRange(this.percent);\n\tthis.cards = [];\n\tthis.MONTE_CARLO_COUNT = 100;\n\tthis.CONFIDENCE = 0.2;\n}","function calcPointToPercentage ( calcPoint ) {\n\t\tvar location = calcPoint - offset(scope_Base, options.ort);\n\t\tvar proposal = ( location * 100 ) / baseSize();\n\n\t\t// Clamp proposal between 0% and 100%\n\t\t// Out-of-bound coordinates may occur when .noUi-base pseudo-elements\n\t\t// are used (e.g. contained handles feature)\n\t\tproposal = limit(proposal);\n\n\t\treturn options.dir ? 100 - proposal : proposal;\n\t}","function calcPointToPercentage ( calcPoint ) {\n\t\tvar location = calcPoint - offset(scope_Base, options.ort);\n\t\tvar proposal = ( location * 100 ) / baseSize();\n\n\t\t// Clamp proposal between 0% and 100%\n\t\t// Out-of-bound coordinates may occur when .noUi-base pseudo-elements\n\t\t// are used (e.g. contained handles feature)\n\t\tproposal = limit(proposal);\n\n\t\treturn options.dir ? 100 - proposal : proposal;\n\t}","function calcPointToPercentage ( calcPoint ) {\n\t\tvar location = calcPoint - offset(scope_Base, options.ort);\n\t\tvar proposal = ( location * 100 ) / baseSize();\n\n\t\t// Clamp proposal between 0% and 100%\n\t\t// Out-of-bound coordinates may occur when .noUi-base pseudo-elements\n\t\t// are used (e.g. contained handles feature)\n\t\tproposal = limit(proposal);\n\n\t\treturn options.dir ? 100 - proposal : proposal;\n\t}","function setProgress(calcper, Maxvalue, type) {\n percent = (calcper / Maxvalue) *100\n if(percent > 100) percent = 100;\n if(percent < 0) percent = 0;\n if (0 < percent && percent < 10)\n {percent = 10 };\n if (10 < percent && percent < 20)\n {percent = 20};\n if (20 < percent && percent < 30)\n {percent = 30};\n if (30 < percent && percent < 40)\n {percent = 40};\n if (40 < percent && percent < 50)\n {percent = 50};\n if (50 < percent && percent < 60)\n {percent = 60};\n if (60 < percent && percent < 70)\n {percent = 70};\n if (70 < percent && percent < 80)\n {percent = 80};\n if (80 < percent && percent < 90)\n {percent = 90};\n if (90 < percent && percent < 100)\n {percent = 100};\n\n type(percent);\n }","function parsePercent$1(percent, all) {\n\t switch (percent) {\n\t case 'center':\n\t case 'middle':\n\t percent = '50%';\n\t break;\n\t\n\t case 'left':\n\t case 'top':\n\t percent = '0%';\n\t break;\n\t\n\t case 'right':\n\t case 'bottom':\n\t percent = '100%';\n\t break;\n\t }\n\t\n\t if (typeof percent === 'string') {\n\t if (_trim(percent).match(/%$/)) {\n\t return parseFloat(percent) / 100 * all;\n\t }\n\t\n\t return parseFloat(percent);\n\t }\n\t\n\t return percent == null ? NaN : +percent;\n\t }","function calcPointToPercentage ( calcPoint ) {\r\n\t\tvar location = calcPoint - offset(scope_Base, options.ort);\r\n\t\tvar proposal = ( location * 100 ) / baseSize();\r\n\t\treturn options.dir ? 100 - proposal : proposal;\r\n\t}","function calcPointToPercentage ( calcPoint ) {\n\t\tvar location = calcPoint - offset(scope_Base, options.ort);\n\t\tvar proposal = ( location * 100 ) / baseSize();\n\t\treturn options.dir ? 100 - proposal : proposal;\n\t}","function calcPointToPercentage ( calcPoint ) {\n\t\tvar location = calcPoint - offset(scope_Base, options.ort);\n\t\tvar proposal = ( location * 100 ) / baseSize();\n\t\treturn options.dir ? 100 - proposal : proposal;\n\t}","function calcPointToPercentage ( calcPoint ) {\n\t\tvar location = calcPoint - offset(scope_Base, options.ort);\n\t\tvar proposal = ( location * 100 ) / baseSize();\n\t\treturn options.dir ? 100 - proposal : proposal;\n\t}","function calcPointToPercentage ( calcPoint ) {\n\t\tvar location = calcPoint - offset(scope_Base, options.ort);\n\t\tvar proposal = ( location * 100 ) / baseSize();\n\t\treturn options.dir ? 100 - proposal : proposal;\n\t}","function calcPointToPercentage ( calcPoint ) {\n\t\tvar location = calcPoint - offset(scope_Base, options.ort);\n\t\tvar proposal = ( location * 100 ) / baseSize();\n\t\treturn options.dir ? 100 - proposal : proposal;\n\t}","function calcPointToPercentage ( calcPoint ) {\n\t\tvar location = calcPoint - offset(scope_Base, options.ort);\n\t\tvar proposal = ( location * 100 ) / baseSize();\n\t\treturn options.dir ? 100 - proposal : proposal;\n\t}","function calcPointToPercentage(calcPoint) {\n var location = calcPoint - offset(scope_Base, options.ort);\n var proposal = (location * 100) / baseSize();\n return options.dir ? 100 - proposal : proposal;\n }","function percentOf(val, percent) {\r\n return (val * percent) / 100;\r\n}","setProgress(percent) {\n const offset = this.circumference - percent / 100 * this.circumference;\n\n let circle = this.container.querySelector('.radialcircle');\n circle.style.strokeDasharray = `${this.circumference} ${this.circumference}`;\n circle.style.strokeDashoffset = offset;\n\n if (this.segments) {\n\n let tickwidth = this.segments * 2;\n\n let seglength = (((this.radius * 2) * Math.PI) - tickwidth) / (this.segments);\n\n let tickmarks = this.container.querySelector('.tickmarks');\n tickmarks.style.strokeDasharray = `2px ${seglength}px`;\n tickmarks.style.strokeDashoffset = 0;\n\n }\n }","static interpolateDelta(start, end, percent) {\n return (end - start) * percent;\n }","function percentage() {\n return percent;\n}","function circlePointsFromPercent(percent) {\n var x = Math.cos(2 * Math.PI * percent);\n var y = Math.sin(2 * Math.PI * percent);\n\n return [x, y];\n}","function xValFromPct(percent) {\n return percent * canvas.width / 100;\n}","set center(value) {}","function update_center() {\n var targets = new Array(Centers.length);\n for (var c = 0; c < Centers.length; c++) {\n var X = 0;\n var Y = 0;\n var count = 0;\n for (var p = 0; p < Points.length; p++) {\n if (Points[p].group == Centers[c].group) {\n X += Points[p].x;\n Y += Points[p].y;\n count += 1;\n }\n }\n targets[c] = new Point(X/count, Y/count);\n }\n\n move_center_animation(targets);\n}","function percentil(percent, collection) {\n var result = {};\n // First for selectorsInRule\n // Sort first to calculate median\n var selectorsInRuleCount = _.map(collection.rules, function(rule) {\n return rule.partIndices.length;\n });\n var partsInSelectorCount = _.pluck(collection.parts, 'count');\n\n var sortedCollections = [];\n sortedCollections.push({ \n name: \"selectorsInRule\",\n value: selectorsInRuleCount.sort(comparators.ascending)\n });\n sortedCollections.push({\n name: \"partsInSelector\",\n value: partsInSelectorCount.sort(comparators.ascending)\n });\n\n for (var i = 0; i < sortedCollections.length; ++i) {\n var currentCollection = sortedCollections[i].value;\n var currentName = sortedCollections[i].name;\n var point = currentCollection.length * percent;\n var currentResult;\n if ((point % 1) === 0) {\n currentResult = (currentCollection[point - 1] + currentCollection[point]) / 2;\n } else {\n // Exact match, so just return this value\n point = Math.floor(point);\n currentResult = currentCollection[point];\n }\n result[currentName] = currentResult;\n }\n return result;\n }","constructor (center, radius) {\n if (!(center instanceof Point)) throw new Error('center is not instance of class Point')\n this.center = center\n this.radius = radius\n }","function center(iv: Interval) {\n return Math.floor((iv.stop + iv.start) / 2);\n }","calPercentage(totalIn){\n //Because we cannot divide a number with zero \n if(totalIn > 0){\n //Creates a percentage funciton inside each of the object\n this.percentage = Math.round((this.value / totalIn) * 100);\n }else{\n // -1 indicates NULL\n this.percentage = -1;\n }\n }","function parsePercent(percent, all) {\n switch (percent) {\n case 'center':\n case 'middle':\n percent = '50%';\n break;\n\n case 'left':\n case 'top':\n percent = '0%';\n break;\n\n case 'right':\n case 'bottom':\n percent = '100%';\n break;\n }\n\n if (typeof percent === 'string') {\n if (_trim(percent).match(/%$/)) {\n return parseFloat(percent) / 100 * all;\n }\n\n return parseFloat(percent);\n }\n\n return percent == null ? NaN : +percent;\n}","function calcPercent(number, percent) {\n return number / 100 * percent;\n}","function tipPercent(arg) {\n if (!arg.innerHTML) return; // NaN is blocking\n percent = parseFloat(arg.innerHTML) / 100;\n}","function ProgressCenterPanel() {}","function generatePercentBar(percent) {\n return \"<span class='coverage-bar'>\" +\n \"<span class='coverage-bar-inner' style='width:\" + percent + \"px'>\" +\n \"</span></span>\";\n}","_bi_arc(args, fn) {\n if (args.length == 1) {\n const radius = this.getCompassLength()\n const center = this.eval(args[0])\n expect.type(center, types.Point)\n\n return new types.Circle(center, radius.value)\n } else {\n throw errors.ArgMisMatch(fn, args.length)\n }\n }","function loaderCircleType1(current, max) {\n var percent = (current / max) * 100;\n var loadLeft = Math.round((percent / 100) * (230));\n var loadRight = Math.round(230 * (percent / 100)) - 5; //(210-230); //100%\n /*<shape> = rect(<top>, <right>, <bottom>, <left>)*/\n document.getElementById(\"loaderCircleLeft\").style.clip = \"rect(-50px, \" + loadLeft + \"px, 310px, -50px)\";\n document.getElementById(\"loaderCircleRight\").style.clip = \"rect(-50px, 310px, 310px, \" + loadRight + \"px)\";\n document.getElementById(\"loaderCircleLabel\").innerHTML = Math.round(percent) + \"%\";\n}","function produceTipCalculator(percentage) {\n return function(rideFare) {\n return rideFare * percentage;\n }\n}","function getQuadraticBezierXYatPercent(startPt,controlPt,endPt,percent) {\n var x = Math.pow(1-percent,2) * startPt.x + 2 * (1-percent) * percent * controlPt.x + Math.pow(percent,2) * endPt.x; \n var y = Math.pow(1-percent,2) * startPt.y + 2 * (1-percent) * percent * controlPt.y + Math.pow(percent,2) * endPt.y; \n return( {x:x,y:y} );\n }","function inputPercent() {\n $(\".caption\").each(function( index ) {\n var span = $(this);\n compareThis = $(this).attr('compare-this');\n compareTo = $(this).attr('compare-to');\n calculatePercent(compareThis,compareTo,span);\n });\n}","function calculatePercentageCircle(num) {\n\treturn (440 - (440*num)/100);\n}","function countToPercent(percent) {\n var interval = setInterval(counter,25);\n var n = 0;\n function counter() {\n if (n >= percent) {\n clearInterval(interval);\n valueProgressBarAnimated = true;\n }\n else {\n n += 1;\n // console.log(n);\n $(thisDiv).text(n + \"%\");\n }\n }\n }","calculateDivisions(event) {\n var userInput = event.target.value;\n this.percentage = userInput.length === 0 ? 20 : 100 / userInput;\n console.log(this.percentage);\n this.applyWidth();\n }","function calculatePercent(percent, num) {\n return (percent * 100) / num\n}","function percentFromCenter(scroll_pos, window_height, element) {\n var element_center_pos = element.offsetTop + (element.offsetHeight / 2);\n var screen_center_post = scroll_pos + (window_height / 2);\n return element_center_pos / screen_center_post;\n}","function percCalculator(perc){\n\tperc = perc * 100;\n\tperc = Math.round(perc);\n\tperc = perc / 100;\n\t\n\treturn perc;\n}","function computeCenter(rect) {\n return {\n top: rect.top + (rect.height / 2),\n left: rect.left + (rect.width / 2)\n };\n}","centerSelection() {\n var range = this.getSelectionRange();\n var pos = {\n row: Math.floor(range.start.row + (range.end.row - range.start.row) / 2),\n column: Math.floor(range.start.column + (range.end.column - range.start.column) / 2)\n };\n this.renderer.alignCursor(pos, 0.5);\n }","function createCircle (percentageValue, candidateId, radius){\n var politicalCircle = Circles.create({\n id: candidateId,\n radius: radius,\n value: percentageValue,\n width: 3,\n text: '',\n colors: ['white', '#D05C5C'],\n duration: 400,\n });\n }","function center(center)\n\t{\n\t\tcenter.lat=Number(vm.centerLat);\n\t\tcenter.lng=Number(vm.centerLng);\n\t\t$log.debug(center);\n\t\n\t}","function calculateCompletion() {\r\n $(\"#stepNo\").html(step);\r\n var percentCompleted = Math.round((step - 1) / (maxStep - 1) * 100 / 5) * 5;\r\n if (percentCompleted == 0) {\r\n percentCompleted += 5;\r\n }\r\n $(\"#percentCompleted\").html(percentCompleted);\r\n $(\"#percentMeter\").css('width', percentCompleted + '%');\r\n}","function makePercent() {\n\t\tinput2.value = \"%\";\n\t\tinput1.value = (input1.value * 100);\n\t}","_getValidatedPercent() {\n\n //Set the default to undefined. We'll use it if it's in indeterminate mode. \n var percent = undefined;\n\n //If it's not indeterminate mode, let's find out what this value should be. \n if (!this.props.indeterminate) {\n percent = parseFloat(this.state._percent);\n\n //If it's not a number, set it to 0\n if (isNaN(percent)) {\n percent = 0;\n }\n\n //Check for min\n if (percent < 0) {\n percent = 0;\n }\n\n //Check for max\n if (percent > 1) {\n percent = 1.0;\n }\n }\n\n //Return the final value\n return percent;\n }","function fromPercentage(range, value, startRange) {\n return (value * 100) / (range[startRange + 1] - range[startRange]);\n }","function fromPercentage(range, value, startRange) {\n return (value * 100) / (range[startRange + 1] - range[startRange]);\n }","function fromPercentage(range, value, startRange) {\n return (value * 100) / (range[startRange + 1] - range[startRange]);\n }","function fromPercentage(range, value, startRange) {\n return (value * 100) / (range[startRange + 1] - range[startRange]);\n }","function percent(covered, total) {\n let tmp;\n if (total > 0) {\n tmp = (1000 * 100 * covered) / total + 5;\n return Math.floor(tmp / 10) / 100;\n } else {\n return 100.0;\n }\n}","function toPercent(pixels) {\n return pixels / outerWidth * 100;\n }","function updateProgressCircle(circle, percent){\n circle.removeClass('p'+ percent -1).addClass('p' + percent);\n circle.find('span').text(percent + '%');\n}","set Center(value) {}","getPercentValue(xc, yc, x, y) {\n\t\tvar alpha = Math.atan2(x - xc, yc - y) / Math.PI * 180;\n\t\tvar halfRange = this._rotate_angle / 2;\n\n\t\tif (alpha < -halfRange) {\n\t\t\talpha = -halfRange;\n\t\t} else if (alpha > halfRange) {\n\t\t\talpha = halfRange;\n\t\t}\n\t\tvar percentValue = (alpha / this._rotate_angle + 0.5) * 100;\n\t\treturn percentValue;\n\t}","function initProgressBarCircle(selector, value) {\r\n if (document.querySelector(selector)) {\r\n let bar = new ProgressBar.Circle(selector, {\r\n color: '#a7b51a',\r\n trailColor: '#e9e9e9',\r\n trailWidth: 12,\r\n duration: 1400,\r\n easing: 'bounce',\r\n strokeWidth: 12,\r\n text: {\r\n className: 'circle-progress-bar__lable',\r\n },\r\n from: {color: '#d75c2b', a:0},\r\n to: {color: '#a7b51a', a:1},\r\n // Set default step function for all animate calls\r\n step: function(state, circle) {\r\n circle.path.setAttribute('stroke', state.color);\r\n $(circle.text).css({color:state.color});\r\n circle.setText( (circle.value() * 10).toFixed(1) )\r\n },\r\n });\r\n\r\n bar.animate(value); // Number from 0.0 to 1.0\r\n }\r\n }","static widthPercent( percent )\n\t{\n\t\treturn percent / 100 * window.width;\n\t}","function usePresetPercent(percent) {\n return Math.round(percent / 100 * (scope.presetValues.length-1)) / (scope.presetValues.length - 1) * 100;\n }","function _calculatePointPercentAlongLine(startPoint, endPoint, percent) {\n var x = startPoint.x + ((endPoint.x - startPoint.x) * percent / 100);\n var y = startPoint.y + ((endPoint.y - startPoint.y) * percent / 100);\n return { x: x, y: y };\n }","function _calculatePointPercentAlongLine(startPoint, endPoint, percent) {\n var x = startPoint.x + ((endPoint.x - startPoint.x) * percent / 100);\n var y = startPoint.y + ((endPoint.y - startPoint.y) * percent / 100);\n return { x: x, y: y };\n }","function createpercentagestudents(){\n return numberOfstudents * 100 / numberofpeople;\n}","setPercentage(percentage) {\n const value = percentage * this.valueWidth + this.minValue;\n this.setValue(value);\n }","function test (beforePercentage, perc) {\n if (beforePercentage < 25 && perc >= 25 && perc < 50) {\n console.log(`${beforePercentage} ${perc} it is 25%`)\n } else if (beforePercentage < 50 && perc >= 50 && perc <= 75) {\n console.log(`${beforePercentage} ${perc} it is 50%`)\n } else if (beforePercentage < 75 && perc >= 75 && perc <= 75) {\n console.log(`${beforePercentage} ${perc} it is 75%`)\n } else if (beforePercentage < 100 && perc >= 100) {\n console.log(`${beforePercentage} ${perc} it is 100%`)\n }\n}","function getLineXYatPercent(startPt,endPt,percent) {\n var dx = endPt.x-startPt.x;\n var dy = endPt.y-startPt.y;\n var X = startPt.x + dx*percent;\n var Y = startPt.y + dy*percent;\n return( {x:X,y:Y} );\n }","constructor({colorCode, context, x, y, radius, percentFromCenter}) {\n this.circles = [];\n this.percentFromCenter = percentFromCenter;\n\n if (Math.abs(this.percentFromCenter) < 0.01) {\n this.circles.push(new ColorCircle({\n x: 0,\n y: 0,\n radius: radius,\n colorCode: new ColorCode({\n base: colorCode.getBase(),\n bits: colorCode.getBits(),\n red: colorCode.getComponent('R'),\n green: colorCode.getComponent('G'),\n blue: colorCode.getComponent('B')\n }),\n context\n }));\n }\n else {\n // Add red circle in bottom left position\n this.circles.push(new ColorCircle({\n x: x - radius * MAX_CIRCLE_DIST_MULT * this.percentFromCenter * RT_3_OVER_2,\n y: y - radius * MAX_CIRCLE_DIST_MULT * this.percentFromCenter * ONE_HALF,\n radius: radius,\n colorCode: new ColorCode({\n base: colorCode.getBase(),\n bits: colorCode.getBits(),\n red: colorCode.getComponent('R'),\n green: 0,\n blue: 0,\n }),\n context\n }));\n // Add green circle in top position\n this.circles.push(new ColorCircle({\n x: x,\n y: y + radius * MAX_CIRCLE_DIST_MULT * this.percentFromCenter,\n radius: radius,\n colorCode: new ColorCode({\n base: colorCode.getBase(),\n bits: colorCode.getBits(),\n red: 0,\n green: colorCode.getComponent('G'),\n blue: 0,\n }),\n context\n }));\n // Add blue circle in bottom right position\n this.circles.push(new ColorCircle({\n x: x + radius * MAX_CIRCLE_DIST_MULT * this.percentFromCenter * RT_3_OVER_2,\n y: y - radius * MAX_CIRCLE_DIST_MULT * this.percentFromCenter * ONE_HALF,\n radius: radius,\n colorCode: new ColorCode({\n base: colorCode.getBase(),\n bits: colorCode.getBits(),\n red: 0,\n green: 0,\n blue: colorCode.getComponent('B'),\n }),\n context\n }));\n }\n }","function produceTipCalculator (percentTip) {\n return function (fare) {\n return fare * percentTip;\n }\n}","function styleCircle(circle, percentage, index) {\n circle.innerHTML = Math.round(wordCountData[index]);\n const radius = percentage * (viewWidth - 200);\n circle.style.backgroundColor = getColor(percentage);\n circle.style.width = radius + \"px\";\n circle.style.height = radius + \"px\";\n}","function calculatePercentage( partialValue, totalValue ) {\n return ( 100 * partialValue ) / totalValue;\n }","function clickPercent(e) {\n return (e.pageX - timeline.offsetLeft) / timelineWidth;\n}","function convertPercentToValue(percent, min, length) {\n return percent * length + min;\n}","function clickPercent(e) {\n\treturn (e.pageX - timeline.offsetLeft) / timelineWidth;\n}","calculatePercent(data) {\n return Math.ceil((data - this.calculateWithDif()) / this.interactiveDomWidth * 100);\n }","function percentage(a,b){\n return (a/b)*100;\n}","constructor(stops, offsetXPercent, offsetYPercent, radiusPercent) {\r\n if (!arrayHelper_1.ArrayHelper.isArray(stops)) {\r\n throw new Error(\"The stops array must not be empty\");\r\n }\r\n if (!objectHelper_1.ObjectHelper.isEmpty(offsetXPercent) && !numberHelper_1.NumberHelper.isInteger(offsetXPercent)) {\r\n throw new Error(\"The offsetXPercent must be a number\");\r\n }\r\n if (!objectHelper_1.ObjectHelper.isEmpty(offsetYPercent) && !numberHelper_1.NumberHelper.isInteger(offsetYPercent)) {\r\n throw new Error(\"The offsetYPercent must be a number\");\r\n }\r\n if (!objectHelper_1.ObjectHelper.isEmpty(radiusPercent) && !numberHelper_1.NumberHelper.isInteger(radiusPercent)) {\r\n throw new Error(\"The radiusPercent must be a number\");\r\n }\r\n this._stops = stops;\r\n this._offsetXPercent = offsetXPercent;\r\n this._offsetYPercent = offsetYPercent;\r\n this._radiusPercent = radiusPercent;\r\n }","function getPercentage(min, max) {\n return min / max * 100;\n }","function setProgressBar(curStep){\n var percent = parseFloat(50 / steps) * curStep;\n percent = percent.toFixed();\n $(\".barrafinal\")\n .css(\"width\",percent+\"%\")\n .html(percent+\"%\"); \n }","function clickPercent(e) {\n\t\t\treturn (e.pageX - timeline.offsetLeft) / timelineWidth;\n\t\t }","function pct(a, b) {\n return Math.round(a / b * 100) + '%';\n }","function primaryLabelInterval(pxPerSec) {\n var retval = 1;\n /*\n if (pxPerSec >= 25 * 100) {\n retval = 100;\n } else if (pxPerSec >= 25 * 40) {\n retval = 40;\n } else if (pxPerSec >= 25 * 10) {\n retval = 100;\n } else if (pxPerSec >= 25 * 4) {\n retval = 40;\n } else if (pxPerSec >= 25) {\n retval = 1;\n } else if (pxPerSec * 5 >= 25) {\n retval = 5;\n } else if (pxPerSec * 15 >= 25) {\n retval = 15;\n } else {\n retval = Math.ceil(0.5 / pxPerSec) * 60;\n } */\n if (pxPerSec >= 600) {\n retval = 5;\n }\n else if (pxPerSec >= 500) {\n retval = 7;\n }\n else if (pxPerSec >= 400) {\n retval = 8;\n }\n else if (pxPerSec >= 300) {\n retval = 10;\n }\n return retval;\n}","function initRadial(sel, start, max) {\n var new_chart = new RadialProgressChart(sel, {\n diameter: 200,\n max: max,\n round: true,\n series: [{\n labelStart: \"\",\n value: start,\n color: {\n linearGradient: {\n x1: \"0%\",\n y1: \"100%\",\n x2: \"50%\",\n y2: \"0%\",\n spreadMethod: \"pad\"\n },\n stops: [{\n offset: \"0%\",\n \"stop-color\": \"#fe08b5\",\n \"stop-opacity\": 1\n },\n {\n offset: \"100%\",\n \"stop-color\": \"#ff1410\",\n \"stop-opacity\": 1\n }\n ]\n }\n }],\n center: {\n content: [\n function(value) {\n return value;\n },\n \" OF \" + max + \" Profiles\"\n ],\n y: 25\n }\n });\n return new_chart;\n}","function disk(center, radius) {\n return function (point) { return distance(point, center) <= radius; };\n}","function percent(str) {\n\tvar num = '', percentPos = str.indexOf('%'), leftNumPos = -1, rightNumPos = percentPos - 1;\n\tfor (var i = rightNumPos; i >= 0 && (isFinite(str[i]) || str[i] == '.'); i--) {\n\t\tnum += str[i];\n\t\tleftNumPos = i;\n\t}\n\tnum = num.split('').reverse().join('');\n\treturn {\n\t\tsubstr: num + '%',\n\t\tnum: num / 100\n\t};\n}","function ConvertPercentByParent(vNum, selectorParent) {\n // Check name of properties have supported\n var nameIndex = $.inArray(name, aNamePercent);\n if (nameIndex !== -1) {\n var $parent = $anim.parent();\n if (!!selectorParent) {\n var $select = $anim.closest(selectorParent);\n if ($select.length)\n $parent = $select;\n }\n vNum = M[aFnSizeRef[nameIndex]]($parent) * vNum / 100;\n vNum = Math.round(vNum);\n }\n // Return result\n return vNum;\n }","function percent(number, total) {\n return (number / total) * 100;\n}","_setWrapperPosition() {\n this.wrapper.style.left = this.percentPosition.x + '%';\n this.wrapper.style.top = this.percentPosition.y + '%';\n }","function ratio_to_cents(input) {\n return decimal_to_cents(ratio_to_decimal(input));\n}"],"string":"[\n \"function getCubicBezierXYatPercent(startPt,controlPt1,controlPt2,endPt,percent){\\n var x=CubicN(percent,startPt.x,controlPt1.x,controlPt2.x,endPt.x);\\n var y=CubicN(percent,startPt.y,controlPt1.y,controlPt2.y,endPt.y);\\n return({x:x,y:y});\\n }\",\n \"percent(val) {\\n this._percent = val;\\n return this;\\n }\",\n \"function percent(value) {\\n return new Percent(value);\\n}\",\n \"function calcPercent(target, total){ //Declare and define function\\n return target / total * 100; //Code to be calculated and returned when the function is called\\n}\",\n \"static interpolate(start, end, percent) {\\n return (end - start) * percent + start;\\n }\",\n \"function produceTipCalculator(percent) {\\n return function(fare) {\\n return percent * fare;\\n };\\n}\",\n \"function calcPointToPercentage(calcPoint) {\\n var location = calcPoint - offset(scope_Base, options.ort);\\n var proposal = (location * 100) / baseSize();\\n\\n // Clamp proposal between 0% and 100%\\n // Out-of-bound coordinates may occur when .noUi-base pseudo-elements\\n // are used (e.g. contained handles feature)\\n proposal = limit(proposal);\\n\\n return options.dir ? 100 - proposal : proposal;\\n }\",\n \"function calcPointToPercentage(calcPoint) {\\n var location = calcPoint - offset(scope_Base, options.ort);\\n var proposal = (location * 100) / baseSize();\\n\\n // Clamp proposal between 0% and 100%\\n // Out-of-bound coordinates may occur when .noUi-base pseudo-elements\\n // are used (e.g. contained handles feature)\\n proposal = limit(proposal);\\n\\n return options.dir ? 100 - proposal : proposal;\\n }\",\n \"function calcPointToPercentage(calcPoint) {\\n var location = calcPoint - offset(scope_Base, options.ort);\\n var proposal = (location * 100) / baseSize();\\n\\n // Clamp proposal between 0% and 100%\\n // Out-of-bound coordinates may occur when .noUi-base pseudo-elements\\n // are used (e.g. contained handles feature)\\n proposal = limit(proposal);\\n\\n return options.dir ? 100 - proposal : proposal;\\n }\",\n \"function calcPointToPercentage(calcPoint) {\\n var location = calcPoint - offset(scope_Base, options.ort);\\n var proposal = (location * 100) / baseSize();\\n\\n // Clamp proposal between 0% and 100%\\n // Out-of-bound coordinates may occur when .noUi-base pseudo-elements\\n // are used (e.g. contained handles feature)\\n proposal = limit(proposal);\\n\\n return options.dir ? 100 - proposal : proposal;\\n }\",\n \"function calcPointToPercentage(calcPoint) {\\n var location = calcPoint - offset(scope_Base, options.ort);\\n var proposal = (location * 100) / baseSize();\\n // Clamp proposal between 0% and 100%\\n // Out-of-bound coordinates may occur when .noUi-base pseudo-elements\\n // are used (e.g. contained handles feature)\\n proposal = limit(proposal);\\n return options.dir ? 100 - proposal : proposal;\\n }\",\n \"function Range(percent) {\\n\\tthis.percent = percent;\\n\\tthis.pocketPairs = this.getPreFlopRange(this.percent);\\n\\tthis.cards = [];\\n\\tthis.MONTE_CARLO_COUNT = 100;\\n\\tthis.CONFIDENCE = 0.2;\\n}\",\n \"function calcPointToPercentage ( calcPoint ) {\\n\\t\\tvar location = calcPoint - offset(scope_Base, options.ort);\\n\\t\\tvar proposal = ( location * 100 ) / baseSize();\\n\\n\\t\\t// Clamp proposal between 0% and 100%\\n\\t\\t// Out-of-bound coordinates may occur when .noUi-base pseudo-elements\\n\\t\\t// are used (e.g. contained handles feature)\\n\\t\\tproposal = limit(proposal);\\n\\n\\t\\treturn options.dir ? 100 - proposal : proposal;\\n\\t}\",\n \"function calcPointToPercentage ( calcPoint ) {\\n\\t\\tvar location = calcPoint - offset(scope_Base, options.ort);\\n\\t\\tvar proposal = ( location * 100 ) / baseSize();\\n\\n\\t\\t// Clamp proposal between 0% and 100%\\n\\t\\t// Out-of-bound coordinates may occur when .noUi-base pseudo-elements\\n\\t\\t// are used (e.g. contained handles feature)\\n\\t\\tproposal = limit(proposal);\\n\\n\\t\\treturn options.dir ? 100 - proposal : proposal;\\n\\t}\",\n \"function calcPointToPercentage ( calcPoint ) {\\n\\t\\tvar location = calcPoint - offset(scope_Base, options.ort);\\n\\t\\tvar proposal = ( location * 100 ) / baseSize();\\n\\n\\t\\t// Clamp proposal between 0% and 100%\\n\\t\\t// Out-of-bound coordinates may occur when .noUi-base pseudo-elements\\n\\t\\t// are used (e.g. contained handles feature)\\n\\t\\tproposal = limit(proposal);\\n\\n\\t\\treturn options.dir ? 100 - proposal : proposal;\\n\\t}\",\n \"function setProgress(calcper, Maxvalue, type) {\\n percent = (calcper / Maxvalue) *100\\n if(percent > 100) percent = 100;\\n if(percent < 0) percent = 0;\\n if (0 < percent && percent < 10)\\n {percent = 10 };\\n if (10 < percent && percent < 20)\\n {percent = 20};\\n if (20 < percent && percent < 30)\\n {percent = 30};\\n if (30 < percent && percent < 40)\\n {percent = 40};\\n if (40 < percent && percent < 50)\\n {percent = 50};\\n if (50 < percent && percent < 60)\\n {percent = 60};\\n if (60 < percent && percent < 70)\\n {percent = 70};\\n if (70 < percent && percent < 80)\\n {percent = 80};\\n if (80 < percent && percent < 90)\\n {percent = 90};\\n if (90 < percent && percent < 100)\\n {percent = 100};\\n\\n type(percent);\\n }\",\n \"function parsePercent$1(percent, all) {\\n\\t switch (percent) {\\n\\t case 'center':\\n\\t case 'middle':\\n\\t percent = '50%';\\n\\t break;\\n\\t\\n\\t case 'left':\\n\\t case 'top':\\n\\t percent = '0%';\\n\\t break;\\n\\t\\n\\t case 'right':\\n\\t case 'bottom':\\n\\t percent = '100%';\\n\\t break;\\n\\t }\\n\\t\\n\\t if (typeof percent === 'string') {\\n\\t if (_trim(percent).match(/%$/)) {\\n\\t return parseFloat(percent) / 100 * all;\\n\\t }\\n\\t\\n\\t return parseFloat(percent);\\n\\t }\\n\\t\\n\\t return percent == null ? NaN : +percent;\\n\\t }\",\n \"function calcPointToPercentage ( calcPoint ) {\\r\\n\\t\\tvar location = calcPoint - offset(scope_Base, options.ort);\\r\\n\\t\\tvar proposal = ( location * 100 ) / baseSize();\\r\\n\\t\\treturn options.dir ? 100 - proposal : proposal;\\r\\n\\t}\",\n \"function calcPointToPercentage ( calcPoint ) {\\n\\t\\tvar location = calcPoint - offset(scope_Base, options.ort);\\n\\t\\tvar proposal = ( location * 100 ) / baseSize();\\n\\t\\treturn options.dir ? 100 - proposal : proposal;\\n\\t}\",\n \"function calcPointToPercentage ( calcPoint ) {\\n\\t\\tvar location = calcPoint - offset(scope_Base, options.ort);\\n\\t\\tvar proposal = ( location * 100 ) / baseSize();\\n\\t\\treturn options.dir ? 100 - proposal : proposal;\\n\\t}\",\n \"function calcPointToPercentage ( calcPoint ) {\\n\\t\\tvar location = calcPoint - offset(scope_Base, options.ort);\\n\\t\\tvar proposal = ( location * 100 ) / baseSize();\\n\\t\\treturn options.dir ? 100 - proposal : proposal;\\n\\t}\",\n \"function calcPointToPercentage ( calcPoint ) {\\n\\t\\tvar location = calcPoint - offset(scope_Base, options.ort);\\n\\t\\tvar proposal = ( location * 100 ) / baseSize();\\n\\t\\treturn options.dir ? 100 - proposal : proposal;\\n\\t}\",\n \"function calcPointToPercentage ( calcPoint ) {\\n\\t\\tvar location = calcPoint - offset(scope_Base, options.ort);\\n\\t\\tvar proposal = ( location * 100 ) / baseSize();\\n\\t\\treturn options.dir ? 100 - proposal : proposal;\\n\\t}\",\n \"function calcPointToPercentage ( calcPoint ) {\\n\\t\\tvar location = calcPoint - offset(scope_Base, options.ort);\\n\\t\\tvar proposal = ( location * 100 ) / baseSize();\\n\\t\\treturn options.dir ? 100 - proposal : proposal;\\n\\t}\",\n \"function calcPointToPercentage(calcPoint) {\\n var location = calcPoint - offset(scope_Base, options.ort);\\n var proposal = (location * 100) / baseSize();\\n return options.dir ? 100 - proposal : proposal;\\n }\",\n \"function percentOf(val, percent) {\\r\\n return (val * percent) / 100;\\r\\n}\",\n \"setProgress(percent) {\\n const offset = this.circumference - percent / 100 * this.circumference;\\n\\n let circle = this.container.querySelector('.radialcircle');\\n circle.style.strokeDasharray = `${this.circumference} ${this.circumference}`;\\n circle.style.strokeDashoffset = offset;\\n\\n if (this.segments) {\\n\\n let tickwidth = this.segments * 2;\\n\\n let seglength = (((this.radius * 2) * Math.PI) - tickwidth) / (this.segments);\\n\\n let tickmarks = this.container.querySelector('.tickmarks');\\n tickmarks.style.strokeDasharray = `2px ${seglength}px`;\\n tickmarks.style.strokeDashoffset = 0;\\n\\n }\\n }\",\n \"static interpolateDelta(start, end, percent) {\\n return (end - start) * percent;\\n }\",\n \"function percentage() {\\n return percent;\\n}\",\n \"function circlePointsFromPercent(percent) {\\n var x = Math.cos(2 * Math.PI * percent);\\n var y = Math.sin(2 * Math.PI * percent);\\n\\n return [x, y];\\n}\",\n \"function xValFromPct(percent) {\\n return percent * canvas.width / 100;\\n}\",\n \"set center(value) {}\",\n \"function update_center() {\\n var targets = new Array(Centers.length);\\n for (var c = 0; c < Centers.length; c++) {\\n var X = 0;\\n var Y = 0;\\n var count = 0;\\n for (var p = 0; p < Points.length; p++) {\\n if (Points[p].group == Centers[c].group) {\\n X += Points[p].x;\\n Y += Points[p].y;\\n count += 1;\\n }\\n }\\n targets[c] = new Point(X/count, Y/count);\\n }\\n\\n move_center_animation(targets);\\n}\",\n \"function percentil(percent, collection) {\\n var result = {};\\n // First for selectorsInRule\\n // Sort first to calculate median\\n var selectorsInRuleCount = _.map(collection.rules, function(rule) {\\n return rule.partIndices.length;\\n });\\n var partsInSelectorCount = _.pluck(collection.parts, 'count');\\n\\n var sortedCollections = [];\\n sortedCollections.push({ \\n name: \\\"selectorsInRule\\\",\\n value: selectorsInRuleCount.sort(comparators.ascending)\\n });\\n sortedCollections.push({\\n name: \\\"partsInSelector\\\",\\n value: partsInSelectorCount.sort(comparators.ascending)\\n });\\n\\n for (var i = 0; i < sortedCollections.length; ++i) {\\n var currentCollection = sortedCollections[i].value;\\n var currentName = sortedCollections[i].name;\\n var point = currentCollection.length * percent;\\n var currentResult;\\n if ((point % 1) === 0) {\\n currentResult = (currentCollection[point - 1] + currentCollection[point]) / 2;\\n } else {\\n // Exact match, so just return this value\\n point = Math.floor(point);\\n currentResult = currentCollection[point];\\n }\\n result[currentName] = currentResult;\\n }\\n return result;\\n }\",\n \"constructor (center, radius) {\\n if (!(center instanceof Point)) throw new Error('center is not instance of class Point')\\n this.center = center\\n this.radius = radius\\n }\",\n \"function center(iv: Interval) {\\n return Math.floor((iv.stop + iv.start) / 2);\\n }\",\n \"calPercentage(totalIn){\\n //Because we cannot divide a number with zero \\n if(totalIn > 0){\\n //Creates a percentage funciton inside each of the object\\n this.percentage = Math.round((this.value / totalIn) * 100);\\n }else{\\n // -1 indicates NULL\\n this.percentage = -1;\\n }\\n }\",\n \"function parsePercent(percent, all) {\\n switch (percent) {\\n case 'center':\\n case 'middle':\\n percent = '50%';\\n break;\\n\\n case 'left':\\n case 'top':\\n percent = '0%';\\n break;\\n\\n case 'right':\\n case 'bottom':\\n percent = '100%';\\n break;\\n }\\n\\n if (typeof percent === 'string') {\\n if (_trim(percent).match(/%$/)) {\\n return parseFloat(percent) / 100 * all;\\n }\\n\\n return parseFloat(percent);\\n }\\n\\n return percent == null ? NaN : +percent;\\n}\",\n \"function calcPercent(number, percent) {\\n return number / 100 * percent;\\n}\",\n \"function tipPercent(arg) {\\n if (!arg.innerHTML) return; // NaN is blocking\\n percent = parseFloat(arg.innerHTML) / 100;\\n}\",\n \"function ProgressCenterPanel() {}\",\n \"function generatePercentBar(percent) {\\n return \\\"<span class='coverage-bar'>\\\" +\\n \\\"<span class='coverage-bar-inner' style='width:\\\" + percent + \\\"px'>\\\" +\\n \\\"</span></span>\\\";\\n}\",\n \"_bi_arc(args, fn) {\\n if (args.length == 1) {\\n const radius = this.getCompassLength()\\n const center = this.eval(args[0])\\n expect.type(center, types.Point)\\n\\n return new types.Circle(center, radius.value)\\n } else {\\n throw errors.ArgMisMatch(fn, args.length)\\n }\\n }\",\n \"function loaderCircleType1(current, max) {\\n var percent = (current / max) * 100;\\n var loadLeft = Math.round((percent / 100) * (230));\\n var loadRight = Math.round(230 * (percent / 100)) - 5; //(210-230); //100%\\n /*<shape> = rect(<top>, <right>, <bottom>, <left>)*/\\n document.getElementById(\\\"loaderCircleLeft\\\").style.clip = \\\"rect(-50px, \\\" + loadLeft + \\\"px, 310px, -50px)\\\";\\n document.getElementById(\\\"loaderCircleRight\\\").style.clip = \\\"rect(-50px, 310px, 310px, \\\" + loadRight + \\\"px)\\\";\\n document.getElementById(\\\"loaderCircleLabel\\\").innerHTML = Math.round(percent) + \\\"%\\\";\\n}\",\n \"function produceTipCalculator(percentage) {\\n return function(rideFare) {\\n return rideFare * percentage;\\n }\\n}\",\n \"function getQuadraticBezierXYatPercent(startPt,controlPt,endPt,percent) {\\n var x = Math.pow(1-percent,2) * startPt.x + 2 * (1-percent) * percent * controlPt.x + Math.pow(percent,2) * endPt.x; \\n var y = Math.pow(1-percent,2) * startPt.y + 2 * (1-percent) * percent * controlPt.y + Math.pow(percent,2) * endPt.y; \\n return( {x:x,y:y} );\\n }\",\n \"function inputPercent() {\\n $(\\\".caption\\\").each(function( index ) {\\n var span = $(this);\\n compareThis = $(this).attr('compare-this');\\n compareTo = $(this).attr('compare-to');\\n calculatePercent(compareThis,compareTo,span);\\n });\\n}\",\n \"function calculatePercentageCircle(num) {\\n\\treturn (440 - (440*num)/100);\\n}\",\n \"function countToPercent(percent) {\\n var interval = setInterval(counter,25);\\n var n = 0;\\n function counter() {\\n if (n >= percent) {\\n clearInterval(interval);\\n valueProgressBarAnimated = true;\\n }\\n else {\\n n += 1;\\n // console.log(n);\\n $(thisDiv).text(n + \\\"%\\\");\\n }\\n }\\n }\",\n \"calculateDivisions(event) {\\n var userInput = event.target.value;\\n this.percentage = userInput.length === 0 ? 20 : 100 / userInput;\\n console.log(this.percentage);\\n this.applyWidth();\\n }\",\n \"function calculatePercent(percent, num) {\\n return (percent * 100) / num\\n}\",\n \"function percentFromCenter(scroll_pos, window_height, element) {\\n var element_center_pos = element.offsetTop + (element.offsetHeight / 2);\\n var screen_center_post = scroll_pos + (window_height / 2);\\n return element_center_pos / screen_center_post;\\n}\",\n \"function percCalculator(perc){\\n\\tperc = perc * 100;\\n\\tperc = Math.round(perc);\\n\\tperc = perc / 100;\\n\\t\\n\\treturn perc;\\n}\",\n \"function computeCenter(rect) {\\n return {\\n top: rect.top + (rect.height / 2),\\n left: rect.left + (rect.width / 2)\\n };\\n}\",\n \"centerSelection() {\\n var range = this.getSelectionRange();\\n var pos = {\\n row: Math.floor(range.start.row + (range.end.row - range.start.row) / 2),\\n column: Math.floor(range.start.column + (range.end.column - range.start.column) / 2)\\n };\\n this.renderer.alignCursor(pos, 0.5);\\n }\",\n \"function createCircle (percentageValue, candidateId, radius){\\n var politicalCircle = Circles.create({\\n id: candidateId,\\n radius: radius,\\n value: percentageValue,\\n width: 3,\\n text: '',\\n colors: ['white', '#D05C5C'],\\n duration: 400,\\n });\\n }\",\n \"function center(center)\\n\\t{\\n\\t\\tcenter.lat=Number(vm.centerLat);\\n\\t\\tcenter.lng=Number(vm.centerLng);\\n\\t\\t$log.debug(center);\\n\\t\\n\\t}\",\n \"function calculateCompletion() {\\r\\n $(\\\"#stepNo\\\").html(step);\\r\\n var percentCompleted = Math.round((step - 1) / (maxStep - 1) * 100 / 5) * 5;\\r\\n if (percentCompleted == 0) {\\r\\n percentCompleted += 5;\\r\\n }\\r\\n $(\\\"#percentCompleted\\\").html(percentCompleted);\\r\\n $(\\\"#percentMeter\\\").css('width', percentCompleted + '%');\\r\\n}\",\n \"function makePercent() {\\n\\t\\tinput2.value = \\\"%\\\";\\n\\t\\tinput1.value = (input1.value * 100);\\n\\t}\",\n \"_getValidatedPercent() {\\n\\n //Set the default to undefined. We'll use it if it's in indeterminate mode. \\n var percent = undefined;\\n\\n //If it's not indeterminate mode, let's find out what this value should be. \\n if (!this.props.indeterminate) {\\n percent = parseFloat(this.state._percent);\\n\\n //If it's not a number, set it to 0\\n if (isNaN(percent)) {\\n percent = 0;\\n }\\n\\n //Check for min\\n if (percent < 0) {\\n percent = 0;\\n }\\n\\n //Check for max\\n if (percent > 1) {\\n percent = 1.0;\\n }\\n }\\n\\n //Return the final value\\n return percent;\\n }\",\n \"function fromPercentage(range, value, startRange) {\\n return (value * 100) / (range[startRange + 1] - range[startRange]);\\n }\",\n \"function fromPercentage(range, value, startRange) {\\n return (value * 100) / (range[startRange + 1] - range[startRange]);\\n }\",\n \"function fromPercentage(range, value, startRange) {\\n return (value * 100) / (range[startRange + 1] - range[startRange]);\\n }\",\n \"function fromPercentage(range, value, startRange) {\\n return (value * 100) / (range[startRange + 1] - range[startRange]);\\n }\",\n \"function percent(covered, total) {\\n let tmp;\\n if (total > 0) {\\n tmp = (1000 * 100 * covered) / total + 5;\\n return Math.floor(tmp / 10) / 100;\\n } else {\\n return 100.0;\\n }\\n}\",\n \"function toPercent(pixels) {\\n return pixels / outerWidth * 100;\\n }\",\n \"function updateProgressCircle(circle, percent){\\n circle.removeClass('p'+ percent -1).addClass('p' + percent);\\n circle.find('span').text(percent + '%');\\n}\",\n \"set Center(value) {}\",\n \"getPercentValue(xc, yc, x, y) {\\n\\t\\tvar alpha = Math.atan2(x - xc, yc - y) / Math.PI * 180;\\n\\t\\tvar halfRange = this._rotate_angle / 2;\\n\\n\\t\\tif (alpha < -halfRange) {\\n\\t\\t\\talpha = -halfRange;\\n\\t\\t} else if (alpha > halfRange) {\\n\\t\\t\\talpha = halfRange;\\n\\t\\t}\\n\\t\\tvar percentValue = (alpha / this._rotate_angle + 0.5) * 100;\\n\\t\\treturn percentValue;\\n\\t}\",\n \"function initProgressBarCircle(selector, value) {\\r\\n if (document.querySelector(selector)) {\\r\\n let bar = new ProgressBar.Circle(selector, {\\r\\n color: '#a7b51a',\\r\\n trailColor: '#e9e9e9',\\r\\n trailWidth: 12,\\r\\n duration: 1400,\\r\\n easing: 'bounce',\\r\\n strokeWidth: 12,\\r\\n text: {\\r\\n className: 'circle-progress-bar__lable',\\r\\n },\\r\\n from: {color: '#d75c2b', a:0},\\r\\n to: {color: '#a7b51a', a:1},\\r\\n // Set default step function for all animate calls\\r\\n step: function(state, circle) {\\r\\n circle.path.setAttribute('stroke', state.color);\\r\\n $(circle.text).css({color:state.color});\\r\\n circle.setText( (circle.value() * 10).toFixed(1) )\\r\\n },\\r\\n });\\r\\n\\r\\n bar.animate(value); // Number from 0.0 to 1.0\\r\\n }\\r\\n }\",\n \"static widthPercent( percent )\\n\\t{\\n\\t\\treturn percent / 100 * window.width;\\n\\t}\",\n \"function usePresetPercent(percent) {\\n return Math.round(percent / 100 * (scope.presetValues.length-1)) / (scope.presetValues.length - 1) * 100;\\n }\",\n \"function _calculatePointPercentAlongLine(startPoint, endPoint, percent) {\\n var x = startPoint.x + ((endPoint.x - startPoint.x) * percent / 100);\\n var y = startPoint.y + ((endPoint.y - startPoint.y) * percent / 100);\\n return { x: x, y: y };\\n }\",\n \"function _calculatePointPercentAlongLine(startPoint, endPoint, percent) {\\n var x = startPoint.x + ((endPoint.x - startPoint.x) * percent / 100);\\n var y = startPoint.y + ((endPoint.y - startPoint.y) * percent / 100);\\n return { x: x, y: y };\\n }\",\n \"function createpercentagestudents(){\\n return numberOfstudents * 100 / numberofpeople;\\n}\",\n \"setPercentage(percentage) {\\n const value = percentage * this.valueWidth + this.minValue;\\n this.setValue(value);\\n }\",\n \"function test (beforePercentage, perc) {\\n if (beforePercentage < 25 && perc >= 25 && perc < 50) {\\n console.log(`${beforePercentage} ${perc} it is 25%`)\\n } else if (beforePercentage < 50 && perc >= 50 && perc <= 75) {\\n console.log(`${beforePercentage} ${perc} it is 50%`)\\n } else if (beforePercentage < 75 && perc >= 75 && perc <= 75) {\\n console.log(`${beforePercentage} ${perc} it is 75%`)\\n } else if (beforePercentage < 100 && perc >= 100) {\\n console.log(`${beforePercentage} ${perc} it is 100%`)\\n }\\n}\",\n \"function getLineXYatPercent(startPt,endPt,percent) {\\n var dx = endPt.x-startPt.x;\\n var dy = endPt.y-startPt.y;\\n var X = startPt.x + dx*percent;\\n var Y = startPt.y + dy*percent;\\n return( {x:X,y:Y} );\\n }\",\n \"constructor({colorCode, context, x, y, radius, percentFromCenter}) {\\n this.circles = [];\\n this.percentFromCenter = percentFromCenter;\\n\\n if (Math.abs(this.percentFromCenter) < 0.01) {\\n this.circles.push(new ColorCircle({\\n x: 0,\\n y: 0,\\n radius: radius,\\n colorCode: new ColorCode({\\n base: colorCode.getBase(),\\n bits: colorCode.getBits(),\\n red: colorCode.getComponent('R'),\\n green: colorCode.getComponent('G'),\\n blue: colorCode.getComponent('B')\\n }),\\n context\\n }));\\n }\\n else {\\n // Add red circle in bottom left position\\n this.circles.push(new ColorCircle({\\n x: x - radius * MAX_CIRCLE_DIST_MULT * this.percentFromCenter * RT_3_OVER_2,\\n y: y - radius * MAX_CIRCLE_DIST_MULT * this.percentFromCenter * ONE_HALF,\\n radius: radius,\\n colorCode: new ColorCode({\\n base: colorCode.getBase(),\\n bits: colorCode.getBits(),\\n red: colorCode.getComponent('R'),\\n green: 0,\\n blue: 0,\\n }),\\n context\\n }));\\n // Add green circle in top position\\n this.circles.push(new ColorCircle({\\n x: x,\\n y: y + radius * MAX_CIRCLE_DIST_MULT * this.percentFromCenter,\\n radius: radius,\\n colorCode: new ColorCode({\\n base: colorCode.getBase(),\\n bits: colorCode.getBits(),\\n red: 0,\\n green: colorCode.getComponent('G'),\\n blue: 0,\\n }),\\n context\\n }));\\n // Add blue circle in bottom right position\\n this.circles.push(new ColorCircle({\\n x: x + radius * MAX_CIRCLE_DIST_MULT * this.percentFromCenter * RT_3_OVER_2,\\n y: y - radius * MAX_CIRCLE_DIST_MULT * this.percentFromCenter * ONE_HALF,\\n radius: radius,\\n colorCode: new ColorCode({\\n base: colorCode.getBase(),\\n bits: colorCode.getBits(),\\n red: 0,\\n green: 0,\\n blue: colorCode.getComponent('B'),\\n }),\\n context\\n }));\\n }\\n }\",\n \"function produceTipCalculator (percentTip) {\\n return function (fare) {\\n return fare * percentTip;\\n }\\n}\",\n \"function styleCircle(circle, percentage, index) {\\n circle.innerHTML = Math.round(wordCountData[index]);\\n const radius = percentage * (viewWidth - 200);\\n circle.style.backgroundColor = getColor(percentage);\\n circle.style.width = radius + \\\"px\\\";\\n circle.style.height = radius + \\\"px\\\";\\n}\",\n \"function calculatePercentage( partialValue, totalValue ) {\\n return ( 100 * partialValue ) / totalValue;\\n }\",\n \"function clickPercent(e) {\\n return (e.pageX - timeline.offsetLeft) / timelineWidth;\\n}\",\n \"function convertPercentToValue(percent, min, length) {\\n return percent * length + min;\\n}\",\n \"function clickPercent(e) {\\n\\treturn (e.pageX - timeline.offsetLeft) / timelineWidth;\\n}\",\n \"calculatePercent(data) {\\n return Math.ceil((data - this.calculateWithDif()) / this.interactiveDomWidth * 100);\\n }\",\n \"function percentage(a,b){\\n return (a/b)*100;\\n}\",\n \"constructor(stops, offsetXPercent, offsetYPercent, radiusPercent) {\\r\\n if (!arrayHelper_1.ArrayHelper.isArray(stops)) {\\r\\n throw new Error(\\\"The stops array must not be empty\\\");\\r\\n }\\r\\n if (!objectHelper_1.ObjectHelper.isEmpty(offsetXPercent) && !numberHelper_1.NumberHelper.isInteger(offsetXPercent)) {\\r\\n throw new Error(\\\"The offsetXPercent must be a number\\\");\\r\\n }\\r\\n if (!objectHelper_1.ObjectHelper.isEmpty(offsetYPercent) && !numberHelper_1.NumberHelper.isInteger(offsetYPercent)) {\\r\\n throw new Error(\\\"The offsetYPercent must be a number\\\");\\r\\n }\\r\\n if (!objectHelper_1.ObjectHelper.isEmpty(radiusPercent) && !numberHelper_1.NumberHelper.isInteger(radiusPercent)) {\\r\\n throw new Error(\\\"The radiusPercent must be a number\\\");\\r\\n }\\r\\n this._stops = stops;\\r\\n this._offsetXPercent = offsetXPercent;\\r\\n this._offsetYPercent = offsetYPercent;\\r\\n this._radiusPercent = radiusPercent;\\r\\n }\",\n \"function getPercentage(min, max) {\\n return min / max * 100;\\n }\",\n \"function setProgressBar(curStep){\\n var percent = parseFloat(50 / steps) * curStep;\\n percent = percent.toFixed();\\n $(\\\".barrafinal\\\")\\n .css(\\\"width\\\",percent+\\\"%\\\")\\n .html(percent+\\\"%\\\"); \\n }\",\n \"function clickPercent(e) {\\n\\t\\t\\treturn (e.pageX - timeline.offsetLeft) / timelineWidth;\\n\\t\\t }\",\n \"function pct(a, b) {\\n return Math.round(a / b * 100) + '%';\\n }\",\n \"function primaryLabelInterval(pxPerSec) {\\n var retval = 1;\\n /*\\n if (pxPerSec >= 25 * 100) {\\n retval = 100;\\n } else if (pxPerSec >= 25 * 40) {\\n retval = 40;\\n } else if (pxPerSec >= 25 * 10) {\\n retval = 100;\\n } else if (pxPerSec >= 25 * 4) {\\n 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naudojamas tik sioje funkcijoje\n console.log(argumntas1);\n}","function functionWithArgs(a, b){\n console.log(a+b)\n}","function normalFunction(normalFunctionparameters) {\n console.log(normalFunctionparameters);\n}","function miFuncion(a, b){\n console.log(arguments.length);\n console.log(\"La suma es: \" + (a+b));\n}","function miFuncionUno (a,b){\n console.log(\"Suma: \"+ (a+b));\n // \"arguments\" is a property of objects but functions work as objects\n console.log(arguments);\n // \"arguments.length\" Number of arguments that enter the function. Can only be used inside the function.\n console.log(arguments.length); \n // \"arguments[0]\" Accesses the firtst argument position.\n console.log(arguments[0]); \n}","function example(param1, opt_param2, var_args){\n\t\n}","function functionName(arguments) {\n //code here\n}","function greetArgs(name) {\n console.log(\"hello \"+name+ \" , i am from greet function\");\n}","function fun1( /*parametros opcionais*/ ){ /*retorno opcional*/ }","function total1() {\n // return arguments['0'] + arguments['1'];\n return arguments[0] + arguments[1];\n}","function methodName (arguments) {\n\t\n}","function myFunc() {\n console.log(arguments)\n }","function ciao(mandi, hola){\n\tconst args = Array.from(arguments)\n\tconsole.log(mandi, hola)\n}","function india () {\n console.log(arguments); //undefined --there's still an arguments object inside the execution context\n console.log('warm')\n}","function myFunction(a, b) {\n console.log(arguments);\n}","function abc (a, b, bla ){\n return bla(a,b)\n }","function functionWithArgs(a, b){\n console.log(a + b);\n}","function imprimeArgumentos() {\n console.log(arguments);\n}","function argsDataType() {\n\n}","function abc(a,b) {\n var c = 6;\n return arguments[0] + b + c;\n}","function functionWithArgs(a, b) {\n console.log(a+b);\n}","function functionWithArgs(a, b) {\n console.log(a+b);\n}","function f_arg (arguments)\n{\n return arguments;\n}","function es1(params) {\n \n}","function sum(a, b) {\n console.log(arguments); //retorna todos os argumentos da function\n return a + b;\n}","function myFunction(){\n console.log(arguments);\n}","function functionWithArgs(param1, param2) {\n console.log(param1 + param2);\n}","apply(args) {\n // ... //\n }","function miFuncion (){}","function functionWithArgs(int1, int2) {\n console.log(int1 + int2);\n}","function get_arg() { return arguments; }","function a() {\n if(arguments.length<3) return;//arguments 갯수가 3보다 작으면 return해!\n console.log('my name is ', arguments[2])\n}","function normal () {\n console.log(arguments);\n }","function fn1([...args]) {}","function paraArguments(parameterOne, parameterTwo) {//function declared, with two parameters.\n return parameterOne + parameterTwo + 'argument!'; //body of function.\n}","function test_param(name, age, gender) {\n console.log(name);\n console.log(age);\n console.log(gender);\n}","function functionWithArgs(n, m) {\n console.log(n + m); \n}","function newArgs(a,b,...args){\r\n console.log(args[3]);//prints third element in rest parameter after the parameter that are defined\r\n\r\n}","function functionWithArgs(a, b) {\n\tconsole.log(a + b);\n}","function sum() {\n console.log( arguments );\n}","function functionWithArgs(a, b) {\n console.log(a + b);\n}","function functionWithArgs(a, b) {\n console.log(a + b);\n}","function example3() {\n\n function hi() {\n for (var _len = arguments.length, fullName = Array(_len), _key = 0; _key < _len; _key++) {\n fullName[_key] = arguments[_key];\n }\n\n console.log(fullName.join(' '));\n }\n\n hi('vlad', 'argentum');\n}","function greetLessArgs(name , age) {\n console.log('Hello ' + name + ' You Are ' + age + ' Years Old!');\n}","function showAllArguments(...items) {\n console.log(items);\n console.log(arguments); //poprzednie\n return items;\n}","function fun2() {\n console.log(arguments);\n}","function test() {\n console.log(arguments);\n}","function greetMoreArgs(name , age) {\n console.log('Hello ' + name + ' You Are ' + age + ' Years Old!');\n}","function hello(name) {\n console.log(\"Hello \" + name + \"!\"); // function with arguments\n}","function func(a, b, c, d){}","function myFunc(...myArgs) {\n\treturn myArgs;\n\n}","function functionWithArgs (param1, param2) {\n console.log (param1 + param2);\n}","function ourFunctionWithArgs(a, b) {\n console.log(a - b);\n}","function ourFunctionWithArgs(a, b) {\n console.log(a - b);\n}","function ourFunctionWithArgs(a, b) {\n console.log(a - b);\n}","function ourFunctionWithArgs(a, b) {\n console.log(a - b);\n}","function ourFunctionWithArgs(a, b) {\n console.log(a - b);\n}","function foo( {name , car, color} ) {\n c(name)\n c(color)\n // c(arguments[0])\n}","function ourFunctionWithArgs(a, b) {\n\tconsole.log(a - b);\n}","function customFunction ( Parameters ) {\n // Statements using Parameters\n // returen the result\n}","function greetMoreArgs(name,age) {\n console.log(\"Hello \"+name+ \" you are \" +age+ \" yrs old\");\n}","function marry(person1, person2) {\n // Arguments is a variable we have access to\n console.log(arguments);\n}","function f3(a,...b){}","function greetLessArgs(name,age) {\n console.log(\"Hello \"+name+ \" you are \"+age+ \" yrs old\");\n}","function nums(){\n\tconst bindArgs = Array.from(arguments).slice(1);\n\tconst callArgs = Array.from(arguments);\n\tconsole.log(`bindArgs: ${bindArgs}`);\n\tconsole.log(`callArgs: ${callArgs}`);\n}","function f(x,y,z){\n\tconsole.log(x);\n\tconsole.log(y);\n\tconsole.log(z);\n}","function func1(str1, str2) {\n console.log(arguments[3]);\n console.log(arguments.length);\n}","function fun1() {\n var a =\n typeof arguments[0] === \"undefined\" ?\n -1 : arguments[0];\n var b =\n typeof arguments[1] === \"undefined\" ?\n -1 : arguments[1];\n // return a + \"\" + b/* + arguments[5]*/;\n return a + \"\" + b;\n\n}","function mary(person1, person2) {\n console.log(arguments);\n return true;\n}","function paella(ing1,ing2,...masingredientes){\n console.log(\"Ingrediente 1: \",ing1);\n console.log(\"Ingrediente 2: \",ing2);\n console.log(\"masingredientes: \",masingredientes);\n}","function myFunction(paramOne, paramTwo) {\n console.log(paramOne)\n console.log(paramTwo)\n}","function message(message, input) {\n\tconsole.log(arguments); // array like object of the functions arguments \n}","function g() {\n return g.arguments;\n}","function myFunctionWithArgs(a, b){\n console.log(a - b);\n}","function f(x, y, z) {\n\t// verifica se foi passado o numero correto de args\n\tif (arguments.length != 3) throw \"Numero de args incorreto!\";\n\t// continua o corpo...\n}","function myFunction(x, y, z) { }","function funcionParametro(fn) {\n\tfn();\n}","function a(x, y, z) {\n console.log(x);\n console.log(y);\n console.log(z);\n}","function doFunction() {\n\tfor (let item of arguments) {\t// this works\n\t\tconsole.log(item);\n\t}\n}","function myfunction(x, y){\n console.log(x + \" \" + y);\n }","function aa() {\n console.log(arguments)\n let [a, b] = arguments\n console.log(a, b)\n}","function boo({first=\"10\", second=\"true\"}) {\n\n}","function args() {\n\t\tvar params = slice.call(arguments);\n\t\tparams.isArgs = true;\n\t\treturn params;\n\t}","function fun() {\n for(var _len = arguments.length, rest = Array(_len), _key = 0; 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myFunction(a, b) {\\n console.log(arguments);\\n}\",\n \"function abc (a, b, bla ){\\n return bla(a,b)\\n }\",\n \"function functionWithArgs(a, b){\\n console.log(a + b);\\n}\",\n \"function imprimeArgumentos() {\\n console.log(arguments);\\n}\",\n \"function argsDataType() {\\n\\n}\",\n \"function abc(a,b) {\\n var c = 6;\\n return arguments[0] + b + c;\\n}\",\n \"function functionWithArgs(a, b) {\\n console.log(a+b);\\n}\",\n \"function functionWithArgs(a, b) {\\n console.log(a+b);\\n}\",\n \"function f_arg (arguments)\\n{\\n return arguments;\\n}\",\n \"function es1(params) {\\n \\n}\",\n \"function sum(a, b) {\\n console.log(arguments); //retorna todos os argumentos da function\\n return a + b;\\n}\",\n \"function myFunction(){\\n console.log(arguments);\\n}\",\n \"function functionWithArgs(param1, param2) {\\n console.log(param1 + param2);\\n}\",\n \"apply(args) {\\n // ... //\\n }\",\n \"function miFuncion (){}\",\n \"function functionWithArgs(int1, int2) {\\n console.log(int1 + 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b);\\n}\",\n \"function functionWithArgs(a, b) {\\n console.log(a + b);\\n}\",\n \"function example3() {\\n\\n function hi() {\\n for (var _len = arguments.length, fullName = Array(_len), _key = 0; _key < _len; _key++) {\\n fullName[_key] = arguments[_key];\\n }\\n\\n console.log(fullName.join(' '));\\n }\\n\\n hi('vlad', 'argentum');\\n}\",\n \"function greetLessArgs(name , age) {\\n console.log('Hello ' + name + ' You Are ' + age + ' Years Old!');\\n}\",\n \"function showAllArguments(...items) {\\n console.log(items);\\n console.log(arguments); //poprzednie\\n return items;\\n}\",\n \"function fun2() {\\n console.log(arguments);\\n}\",\n \"function test() {\\n console.log(arguments);\\n}\",\n \"function greetMoreArgs(name , age) {\\n console.log('Hello ' + name + ' You Are ' + age + ' Years Old!');\\n}\",\n \"function hello(name) {\\n console.log(\\\"Hello \\\" + name + \\\"!\\\"); // function with arguments\\n}\",\n \"function func(a, b, c, d){}\",\n \"function myFunc(...myArgs) {\\n\\treturn myArgs;\\n\\n}\",\n \"function functionWithArgs (param1, param2) {\\n console.log (param1 + param2);\\n}\",\n \"function ourFunctionWithArgs(a, b) {\\n console.log(a - b);\\n}\",\n \"function ourFunctionWithArgs(a, b) {\\n console.log(a - b);\\n}\",\n \"function ourFunctionWithArgs(a, b) {\\n console.log(a - b);\\n}\",\n \"function ourFunctionWithArgs(a, b) {\\n console.log(a - b);\\n}\",\n \"function ourFunctionWithArgs(a, b) {\\n console.log(a - b);\\n}\",\n \"function foo( {name , car, color} ) {\\n c(name)\\n c(color)\\n // c(arguments[0])\\n}\",\n \"function ourFunctionWithArgs(a, b) {\\n\\tconsole.log(a - b);\\n}\",\n \"function customFunction ( Parameters ) {\\n // Statements using Parameters\\n // returen the result\\n}\",\n \"function greetMoreArgs(name,age) {\\n console.log(\\\"Hello \\\"+name+ \\\" you are \\\" +age+ \\\" yrs old\\\");\\n}\",\n \"function marry(person1, person2) {\\n // Arguments is a variable we have access to\\n console.log(arguments);\\n}\",\n \"function f3(a,...b){}\",\n \"function greetLessArgs(name,age) {\\n console.log(\\\"Hello \\\"+name+ \\\" you are \\\"+age+ \\\" yrs old\\\");\\n}\",\n \"function nums(){\\n\\tconst bindArgs = Array.from(arguments).slice(1);\\n\\tconst callArgs = Array.from(arguments);\\n\\tconsole.log(`bindArgs: ${bindArgs}`);\\n\\tconsole.log(`callArgs: ${callArgs}`);\\n}\",\n \"function f(x,y,z){\\n\\tconsole.log(x);\\n\\tconsole.log(y);\\n\\tconsole.log(z);\\n}\",\n \"function func1(str1, str2) {\\n console.log(arguments[3]);\\n console.log(arguments.length);\\n}\",\n \"function fun1() {\\n var a =\\n typeof arguments[0] === \\\"undefined\\\" ?\\n -1 : arguments[0];\\n var b =\\n typeof arguments[1] === \\\"undefined\\\" ?\\n -1 : arguments[1];\\n // return a + \\\"\\\" + b/* + arguments[5]*/;\\n return a + \\\"\\\" + b;\\n\\n}\",\n \"function mary(person1, person2) {\\n console.log(arguments);\\n return true;\\n}\",\n \"function 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than 0"},"document":{"kind":"string","value":"function validateNumber(value) {\n var valid = Number.isInteger(parseFloat(value));\n var sign = Math.sign(value);\n\n if (valid && (sign === 1)) {\n return true;\n } else {\n return \"Please enter a number\";\n }\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function validInput(input) {\n return isInteger(input) && input > 0\n}","function validNumber(input){\r\n\treturn (input.length == 10 || input[0] == \"0\");\r\n}","function validateInput(value) {\n\tvar integer = Number.isInteger(parseFloat(value));\n\tvar sign = Math.sign(value);\n\tif (integer && (sign === 1)) {\n\t\treturn true;\n\t} else {\n\t\treturn \"You must enter a positive number higher than zero.\";\n\t}\n}","function validateInput(input) {\n\n var number = parseInt(input);\n \n if (isNaN(number) || number < 0 || number > 7) {\n return 0;\n }\n else {\n return number;\n }\n}","function numberCheck (input) {\n\tif (input >= 0 && input <= 9) {\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n}","function verifyInt(input)\n{\n var x = parseInt(input.value, 10);\n if (isNaN(x) || x < 0) {\n input.value = \"\";\n input.focus();\n } else\n gasUse();\n return;\n}","function validateNumber(value) {\n if (value % 1 === 0 && value > 0) {\n return true;\n } else {\n console.log(\" **** Please enter a whole number above zero. ****\");\n }\n}","function validNumber(num, maxNum) {\r\n while (isNaN(num) || num <= 0 || num > maxNum) {\r\n num = parseInt(prompt('ERROR. The value you entered is not valid. Please enter a number ranging from 1 to ' + maxNum + '.'));\r\n };\r\n return num;\r\n}","function validate(num) {\r\n // return Number.isInteger(num);\r\n\r\n //return num !== isNaN && num >= 0 && num <= 100;\r\n return typeof num === \"number\" && num >= 0 && num <= 100;\r\n\r\n\r\n\r\n}","function checkNumber (input) {\n\t\tif (input <= 100 && input >= 1) {\n\t\t\tfizzbuzz();\n\t\t} else if (isNaN(input)) {\n\t\t\tprompt('You did not enter a number. Please enter a number between 1 and 100');\n\t\t} else {\n\t\t\tprompt('Your number (' + input + ') is not between 1 and 100. Please enter a number between 1 and 100');\n\t\t}\n\t}","function validNumberAboveZero(inputNumber){\n inputNumber = inputNumber.replace(/\\s+/,\"\");\n inputNumber = inputNumber.replace(/\\,+/,\".\");\n if(isNaN(parseFloat(+inputNumber))){\n return false;\n }\n if(parseFloat(+inputNumber)<=0){\n return false;\n }\n return true;\n }","function isValidNumber(input) {\n return typeof input === 'number' && isFinite(input);\n }","function checkNum() {\n for (let i = arguments.length - 1; i >= 0; i--) {\n if (isNaN(arguments[i]) || arguments[i] < 0) {\n return false;\n }\n continue;\n }\n return true;\n }","function validateInput(value) {\n\tvar integer = Number.isInteger(parseFloat(value));\n\tvar sign = Math.sign(value);\n\n\tif (integer && (sign === 1)) {\n\t\treturn true;\n\t} else {\n\t\treturn 'Please enter a whole non-zero number.';\n\t}\n}","function numberValidation(input) {\n var name = input.id;\n var value = parseFloat(input.value);\n var min = parseFloat(input.min);\n var max = parseFloat(input.max);\n if (!(value >= min && value <= max)) {\n return name + \" not in range (\" + input.min + \", \" + input.max + \")\";\n } else return \"valid\";\n}","function validateInput(value) {\n var integer = Number.isInteger(parseFloat(value));\n var sign = Math.sign(value);\n\n if (integer && (sign === 1)) {\n return true;\n } else {\n return 'Please enter a whole number larger than zero.';\n }\n}","function validateInput(value) {\n var integer = Number.isInteger(parseFloat(value));\n var sign = Math.sign(value);\n\n if (integer && (sign === 1)) {\n return true;\n } else {\n return 'Please enter a whole non-zero number.';\n }\n}","verifyPositiveNumber(value) {\n return parseInt(value) >= 0;\n }","function isValidNumber(input) {\n return typeof input === 'number' && isFinite(input);\n }","function isValidNumber ( input ) {\r\n\t\treturn typeof input === 'number' && isFinite( input );\r\n\t}","function isValidNumber ( input ) {\r\n\t\treturn typeof input === 'number' && isFinite( input );\r\n\t}","function isValidNumber(input) {\n return typeof input === \"number\" && isFinite(input);\n }","function isValidNumber ( input ) {\n\t\treturn typeof input === 'number' && isFinite( input );\n\t}","function isValidNumber ( input ) {\n\t\treturn typeof input === 'number' && isFinite( input );\n\t}","function validateInput(input) {\n\t\n\t/*---------- check if string contains only digits, space & non-zero value ----------*/\n\t\n\tif(isAllAreDigits(input)){\n\n\t\tinput.trim(); \n\n\t\t/*---------- remove intermediate spaces ----------*/\n\t\t\n\t\tinput = input.replace(/\\s+/g,' ').trim();\n\n\t\tinputDigits = input.split(\" \");\n\n\n\t\t/*---------- check maximum value limit ----------*/\n\t\t\n\t\tif( !isLessThanMaxValuePlusNonZero() ){\n\n\t\t\treturn false;\n\t\t}\n\n\n\t\t/*---------- check input length ----------*/\n\t\t\n\t\tif(inputDigits.length > 10){\n\n\t\t\terrorMessage = \"Numbers exceed maximum limit, Please try again\";\n\n\t\t\treturn false;\n\t\t}\n\n\n\n\n\t\treturn true;\n\t}\n\n\treturn false;\n}","function checkisNum(number) {\n if(typeof number=== 'number' && number>0 ){\n return true;\n }\n return false;\n}","function isGreaterThanZero()\n{\n let num = document.getElementsByClassName(\"donation-input\")[0].value;\n num = parseInt(num);\n if(num>0) return true;\n else return false;\n}","function inputNumberValid(inputVal) {\n if ( !(inputVal && inputVal.trim().length) || isNaN(Number(inputVal)) || inputVal < 0) {\n throw new Error(\"Invalid input! A positive numbers only accepted\");\n }\n return inputVal;\n}","function isValidNumber(input) {\n // var num = Number.parseInt(input);\n // var numText = num + \"\";\n if (isNaN(input)) {\n return false;\n }\n return true;\n}","function validNumber(value) {\n const intNumber = Number.isInteger(parseFloat(value));\n const sign = Math.sign(value);\n\n if (intNumber && (sign === 1)) {\n return true;\n } else {\n return 'Please use whole non-zero numbers only.';\n }\n}","function validateNumber(val) {\n if(Number.isInteger(parseFloat(val)) == true && Math.sign(val) == 1) {\n return true\n } else {\n return 'Invalid quantity input!!'\n } \n}","function validateNum(){\r\n\tvar num = document.survey_form.informative.value; //get the value\r\n\t//make sure the entry is a number\r\n\tvar numPattern = /^[0-9]+$/;\r\n\tif(!numPattern.test(num)){alert(\"Please enter a numerical value.\" )}\r\n\t//if the value is less than 0 or greater than 10, it is not valid.\r\n\tif (num < 0 || num > 10)\t\t\t\r\n\t\t{alert(\"Please enter a number between 0 and 10\" )}\t\r\n\t}","function validateInputNumber(input) {\n\tinput.value = formatNumber(input.value);\n\tif (!isNumber(input.value)) {\n\t\tinput.value = '';\n\t}\n}","function inputChecksOut(input){\n // if(Number.isInteger(input)){\n // return true\n // }\n // else{\n // return false\n // }\n\n //Or ?\n\n return Number.isInteger(input) && input > 0\n }","function isNumberOk(num) {\n if (num > 0 && num < 99999999) return true;\n return false;\n}","function validateNum(numberToBeValidated){\n if (numberToBeValidated % 1 != 0){\n alert(\"Please input an integer\");\n return false; //the function will have false value if the if condition is true\n }\n else if (numberToBeValidated < 0 || numberToBeValidated > 100){\n alert(\"Please input the number between the range of 1 and 100\");\n return false;\n }\n clearText();\n // else if for past guesses ask Casey for help about the past guesses else if \n }","function validateValue(input_value) {\n\t\tif (input_value===0) return true; //show limit when value===0\n\t\tif (input_value != '') {\n\t\t\tif (input_value.length > 9) {\n\t\t\t\treturn false;\n\t\t\t} else if ((input_value < 0) || (input_value.match(/^0+[,.]0+$/) != null)){\n\t\t\t\treturn false;\n\t\t\t} else if (input_value >= 1000000){\n\t\t\t\treturn false;\n\t\t\t} else if ((input_value.match(/^\\d{1,6}[,.]?\\d{0,2}$/) != null) \n\t\t\t\t\t\t\t&& (input_value.match(/^\\d{1,6}[,.]$/) == null)) {\n\t\t\t\treturn true;\n\t\t\t} else {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t}","function validateNumber(numberInput) {\n var x = numberInput;\n \n try {\n if(x == \"\") throw \"is empty\"\n if(isNaN(x)) throw \"is not a number\"\n x = Number(x);\n if(x > 10) throw \"is too high\"\n if(x < 5) throw \"is too low\"\n \n }\n catch(err) {\n console.log(\"Catch : \" + err);\n }\n finally {\n console.log(\"Finally : \");\n }\n}","checkNumInput(txt, min, max, err_reason, err_msg){\n var val\n // Handle input with errors\n if (txt === ''){\n val = ''\n }\n else if (Number.isNaN(parseInt(txt))){\n val = ''\n this.setInputNumberErrorMessage(err_reason, err_msg)\n } else if (parseInt(txt).toString() !== txt){\n val = parseInt(txt)\n this.setInputNumberErrorMessage(err_reason, err_msg)\n } else if (parseInt(txt) < min){\n val = min\n this.setInputNumberErrorMessage(err_reason, err_msg)\n } else if (parseInt(txt) > max){\n val = max\n this.setInputNumberErrorMessage(err_reason, err_msg)\n } else {\n val = parseInt(txt)\n }\n\n return val\n }","function oneDigitAtLeastInput(input) {\n return /\\d+/.test(input.value);\n}","function validateForm(inputCheck) {\n if ( (isNaN(inputCheck.value)) || (inputCheck.value <= 0) ) {\n document.getElementById(\"errorP\").innerHTML = \"The input was not correct. Please input valid positive numbers\";\n document.getElementById(\"errorP\").style.display = \"block\";\n }\n}","function isLessThanMaxValuePlusNonZero() {\n\t\n\tvar len = inputDigits.length;\n\n\tvar i, j;\n\n\tfor(i = 0; i < len; i++){\n\n\t\tif(inputDigits[i] > MAXVAL){\n\n\t\t\terrorMessage = \"Maximum value limit exccded, Please try again\";\n\n\t\t\treturn false\n\t\t}\n\n\t\tif(inputDigits[i] == 0){\n\n\t\t\terrorMessage = \"Input value must be non-zero, Please try again\";\n\n\t\t\treturn false;\n\t\t}\n\t}\n\n\treturn true;\n}","function validateTime(){\r\n\t\tvar t = document.survey_form.knittime.value; //get the value\r\n\t\tvar numPattern = /^[0-9]+$/;\r\n\t\tif(!numPattern.test(t)){alert(\"Please enter a numerical value equal to or greater than 0.\" )}\r\n\t\tif( t < 0){alert(\"Please enter a value equal to or greater than 0\")}\r\n\t}","function verifyCost(input, min, max)\n{\n var num = parseFloat(input.value);\n if (isNaN(num) || num < min || num > max) {\n alert(\"Please enter a number between \" + min.toFixed(2) + \" and \" + max.toFixed(2));\n input.value = \"\";\n input.focus();\n } else\n gasUse();\n return;\n}","function validateInput() {\n if (number < 1 || number > 100) {\n alert(\"Number must be between 1 and 100\")\n inputBox.value = \"\"\n return false\n }\n return true\n}","function checkNum(str){\n var num = parseInt(str, 10);\n return (!isNaN(num) && !(num < 1));\n}","function isNumeric(input) { return (input - 0) == input && input.length > 0;}","function isInputNumber(e) {\n let regularExpresion = new RegExp('^[1-9]?[0-9]{1}$|^100$');\n let regExpOk = regularExpresion.test(e.target.value);\n if ( !regExpOk && (e.target.value != '') ){\n e.preventDefault();\n e.target.value = '';\n return false;\n } else {\n return true;\n }\n}","function lessThanOrEqualToZero(num) {\n if(num <= 0){\n return true;\n } else{\n return false;\n }\n}","function validar() {\n if (number < 1) {\n alert(\"Numero ingresado es menor a 1, intente nuevamente.\");\n return false;\n } else if (number > 20) {\n alert(\"Numero ingresado es mayor a 20, intente nuevamente.\");\n return false;\n } else if (isNaN(number)) {\n alert(\"No ingresaste un numero, intenta nuevamente.\");\n return false;\n }\n}","function inputCheck(input){\n if ( input >= max || input < min || isNaN(input) ){\n alert('ho detto da 1 a 100');\n gioca();\n }\n}","validate(value){\n value = parseInt(value)\n if(!isNaN(value)){\n throw new Error (\"Tidak boleh angka\")\n }\n }","validate(value) {\n if (value < 0) return 0;\n else if (value > 5) return 5;\n }","function ValidarRangoNumerico(id, min, max) {\r\n if (min === void 0) { min = -1; }\r\n if (max === void 0) { max = -1; }\r\n var value = parseInt(document.getElementById(id).value);\r\n if ((max != -1 ? max > value : true) && (min != -1 ? value > min : true)) {\r\n return true;\r\n }\r\n return false;\r\n}","function validateNumber (inputVal) {\n let inputNum = Number(inputVal);\n if (inputNum || inputVal === '' || inputVal === '.' || Number.isInteger(inputNum)) {\n return true;\n }\n return false;\n}","function numberIsNumber(userInput) {\n var userInputNumber = parseInt(userInput)\n\n if (Number.isNaN(userInputNumber) && !userInput) {\n\n return false\n }\n return true\n}","function checkTournamentNumberInput(){\n const isNumberValid = !isNaN(parseInt(tournamentNumberInput.value)) && tournamentNumberInput.value < 99\n\n if(isNumberValid) {\n tournamentNumberErrorMessage.classList.add('hidden')\n } else {\n tournamentNumberErrorMessage.classList.remove('hidden')\n }\n return isNumberValid\n}","function checkNumber (input, error, extra) {\n if (input.length > extra) {\n return true\n }\n error.classList.remove('hidden')\n return false\n}","function check(num) {\n if (Number.isNaN(num) || num <= 0) {\n return console.log(\"ERROR!\");\n }\n if (num >= 1000000) {\n return num;\n }\n num *= 10;\n\n return check(num);\n}","function validateNumberRange(control, min, max, message, showMessage)\n{\n var result = true;\n \n if (control != null && (isNaN(control.value) || control.value < min || control.value > max))\n {\n informUser(control, message, showMessage);\n result = false;\n }\n \n return result;\n}","function numeroEhValido(numero) {\n if (numero < 0 || numero > 100) {\n return false\n } else {\n return true\n }\n}","function intValidatorWithErrors( n, min, max, caller, name ) {\r\n\t\t if ( n < min || n > max || n != truncate(n) ) {\r\n\t\t raise( caller, ( name || 'decimal places' ) +\r\n\t\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\r\n\t\t }\r\n\t\t\r\n\t\t return true;\r\n\t\t }","function checkbatchnumber() {\r\n var x = new Number;\r\n x = Number(document.getElementById(\"userbatchnumber\").value);\r\n if (isNaN(x) || x < 1 || x > document.getElementById(\"workload\").value) {window.alert(\"Illegal workload! Please enter again!\");} else {\r\n window.alert(\"Success\");\r\n }\r\n}","function checkInput(value) {\n return !isNaN(value);\n}","function checkbatchnumber() {\n var x = new Number;\n if(document.getElementById(\"userbatchnumber\") != null){\n x = Number(document.getElementById(\"userbatchnumber\").value);\n if (isNaN(x) || x < 1 || x > document.getElementById(\"workload\").value) {\n window.alert(\"Illegal workload! Please enter again!\");\n } else {\n //window.alert(\"Success\");\n generate_batch_inputs(x);\n }\n }\n\n}","function validateForm(inputCheck) {\n if ( (isNaN(inputCheck.value)) || (inputCheck.value <= 0) ) {\n document.getElementById(\"errorP\").innerHTML = \"The <span id=\\\"msgError\\\">Number of Nights</span> was not correct. Please input valid positive numbers\";\n document.getElementById(\"errorP\").style.display = \"block\";\n }\n}","function checkNumber() {\n const divParent = quantity.parentNode\n const quantityReg = new RegExp('^[0-9]+$'); // valeur entre 0 et 9 à entrer\n if (!quantityReg.test(quantity.value)) { // On teste la valeur sur la base de la RegExp\n divParent.setAttribute('data-error-visible', 'true')\n divParent.setAttribute('data-error', 'Vous devez entrer un chiffre positif')\n return false;\n } else {\n divParent.setAttribute('data-error-visible', 'false')\n return true\n }\n}","function numCheck(){\n let input = document.querySelector('input[type=\"text\"]').value;\n let check = parseInt(input);\n if (isNaN(check) && input != \"\"){\n return false;\n } else {\n return true;\n }\n}","function myFunction() {\n var x, text;\n\n // Get the value of the input field with id=\"numb\"\n x = document.getElementById(\"numb\").value;\n\n // If x is Not a Number or less than one or greater than 10\n if (isNaN(x) || x < 1 || x > 10) {\n text = \"Input not valid\";\n } else {\n text = \"Input OK\";\n }\n document.getElementById(\"demo\").innerHTML = text;\n}","function checkInteger( pValue, pName, pMinimum, pMaximum ) \n{\n if ( !checkFormat( pValue, pName, \"integer\", \"\" ) ) \n {\n return false;\n } \n else \n {\n var lNumber = 0 + pValue;\n if ( pMinimum <= pMaximum && lNumber < pMinimum ) \n {\n alert( \"Field: \" + pName + \" contains a number less than the minimum: \" + pMinimum );\n return false;\n }\n if ( lNumber > pMaximum ) \n {\n alert( \"Field: \" + pName + \" contains a number greater than the maximum: \" + pMaximum );\n return false;\n }\n } //end if/else\n\n return true;\n\n} // End function checkInteger","function validarNumeros(parametro) {\r\n\tif (!/^([0-9])*$/.test(parametro)) {\r\n\t\treturn false;\r\n\t}else {\r\n\t\treturn true;\r\n\t}\r\n}","function intValidatorWithErrors(n, min, max, caller, name) {\n if (n < min || n > max || n != truncate(n)) {\n raise(caller, (name || 'decimal places') + (n < min || n > max ? ' out of range' : ' not an integer'), n);\n }\n\n return true;\n }","function EntryCheckForNumbers() {\r\n let userEntry ; \r\n do {userEntry = +prompt('attention please - only Numbers');} \r\n while (userEntry !== +userEntry || userEntry === 0); \r\n console.log ('Thank you very much');\r\n return userEntry;\r\n}","async function checkBottomRange(input) {\n if (!isNumeric(input)) {\n console.log(\n `\\n${input} is not a valid number. Enter something else please!\\n`\n );\n await getBottomRange();\n } else if (isNumeric(input) === true && parseFloat(input) % 1 != 0) {\n console.log(\"\\nIntegers only, please!\\n\");\n await getBottomRange();\n } else if (isNumeric(input) === true && parseFloat(input) < 0) {\n console.log(\"\\nNo negative numbers, please. Let's try again.\\n\");\n await getBottomRange();\n } else {\n return;\n };\n }","function validar(num1){\n if(isNaN(num1)){\n return false;\n } else {\n return true;\n }\n}","function validateNum(num){\n var reg = /^\\d+$/;\n return reg.test(num) || \"Please enter a number!\";\n}","function validation(){\n\tvar withpeople = document.getElementById(\"switch-people\").checked;\n\tif (withpeople){\n\t\tvar x=document.getElementById(\"people-num\").value;\n\t var regex=/^[0-9]+$/;\n\t if (x.match(regex) == null)\n\t {\n\t \t//alert(\"Must input a number\");\n\t document.getElementById(\"num_alert\").style.display=\"block\";\n\t $(\"#people-num\").focus();\n\t return false;\n\t }\n\t}\n\telse\n\t\tdocument.getElementById(\"people-num\").value = 0;\n}","function intValidatorWithErrors( n, min, max, caller, name ) {\n\t if ( n < min || n > max || n != truncate(n) ) {\n\t raise( caller, ( name || 'decimal places' ) +\n\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\n\t }\n\t\n\t return true;\n\t }","function intValidatorWithErrors( n, min, max, caller, name ) {\n\t if ( n < min || n > max || n != truncate(n) ) {\n\t raise( caller, ( name || 'decimal places' ) +\n\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\n\t }\n\t\n\t return true;\n\t }","function intValidatorWithErrors( n, min, max, caller, name ) {\r\n\t if ( n < min || n > max || n != truncate(n) ) {\r\n\t raise( caller, ( name || 'decimal places' ) +\r\n\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\r\n\t }\r\n\r\n\t return true;\r\n\t }","function intValidatorWithErrors( n, min, max, caller, name ) {\n\t if ( n < min || n > max || n != truncate(n) ) {\n\t raise( caller, ( name || 'decimal places' ) +\n\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\n\t }\n\n\t return true;\n\t }","function intValidatorWithErrors( n, min, max, caller, name ) {\n\t if ( n < min || n > max || n != truncate(n) ) {\n\t raise( caller, ( name || 'decimal places' ) +\n\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\n\t }\n\n\t return true;\n\t }","function isValid(value) {\n return value || value === 0;\n}","function validaMaximo(numero){ \n if (!/^([0-9])*$/.test(numero)||(numero === \"\")){\n alert(\"[ERROR] Stock Maximo invalido\");\n document.getElementById(\"maximo\").value= \"0\"; \n document.getElementById(\"maximo\").focus();\n }\n }","function intValidatorWithErrors( n, min, max, caller, name ) {\r\n if ( n < min || n > max || n != truncate(n) ) {\r\n raise( caller, ( name || 'decimal places' ) +\r\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\r\n }\r\n\r\n return true;\r\n }","function intValidatorWithErrors( n, min, max, caller, name ) {\r\n if ( n < min || n > max || n != truncate(n) ) {\r\n raise( caller, ( name || 'decimal places' ) +\r\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\r\n }\r\n\r\n return true;\r\n }","function intValidatorWithErrors( n, min, max, caller, name ) {\r\n if ( n < min || n > max || n != truncate(n) ) {\r\n raise( caller, ( name || 'decimal places' ) +\r\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\r\n }\r\n\r\n return true;\r\n }","function intValidatorWithErrors( n, min, max, caller, name ) {\r\n if ( n < min || n > max || n != truncate(n) ) {\r\n raise( caller, ( name || 'decimal places' ) +\r\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\r\n }\r\n\r\n return true;\r\n }","function intValidatorWithErrors( n, min, max, caller, name ) {\r\n if ( n < min || n > max || n != truncate(n) ) {\r\n raise( caller, ( name || 'decimal places' ) +\r\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\r\n }\r\n\r\n return true;\r\n }","function intValidatorWithErrors( n, min, max, caller, name ) {\r\n if ( n < min || n > max || n != truncate(n) ) {\r\n raise( caller, ( name || 'decimal places' ) +\r\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\r\n }\r\n\r\n return true;\r\n }","function intValidatorWithErrors( n, min, max, caller, name ) {\r\n if ( n < min || n > max || n != truncate(n) ) {\r\n raise( caller, ( name || 'decimal places' ) +\r\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\r\n }\r\n\r\n return true;\r\n }","function intValidatorWithErrors( n, min, max, caller, name ) {\r\n if ( n < min || n > max || n != truncate(n) ) {\r\n raise( caller, ( name || 'decimal places' ) +\r\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\r\n }\r\n\r\n return true;\r\n }","function intValidatorWithErrors(n, min, max, caller, name) {\n if (n < min || n > max || n != truncate(n)) {\n raise(caller, (name || 'decimal places') + (n < min || n > max ? ' out of range' : ' not an integer'), n);\n }\n\n return true;\n }","function intValidatorWithErrors(n, min, max, caller, name) {\n if (n < min || n > max || n != truncate(n)) {\n raise(caller, (name || 'decimal places') + (n < min || n > max ? ' out of range' : ' not an integer'), n);\n }\n\n return true;\n }","function validator(guess){ \n// return true if guess is a valid integer within range \nif (guess > 0 && guess < 101) return true;\n// otherwise, guess is not valid. Return false. \nelse return false;\n// Close Function Definition \n}","validateValue (value) {\n return TypeNumber.isNumber(value) && !isNaN(value)\n }","function numericTypeCheck(input) {\r\n return /^-?[0-9]\\d*(\\.\\d+)?$/.test(input);\r\n}","function lessThanOrEqualToZero(num) {\n if (num <= 0) {\n return true;\n }\n return false;\n}","function numberCheck(value, valueName){\n if(!Utils.isNumber(value) ){\n handleEmtpyValue(valueName +\" is not a number.\\n\");\n }\n }","function intValidatorWithErrors( n, min, max, caller, name ) {\n if ( n < min || n > max || n != truncate(n) ) {\n raise( caller, ( name || 'decimal places' ) +\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\n }\n\n return true;\n }"],"string":"[\n \"function validInput(input) {\\n return isInteger(input) && input > 0\\n}\",\n \"function validNumber(input){\\r\\n\\treturn (input.length == 10 || input[0] == \\\"0\\\");\\r\\n}\",\n \"function validateInput(value) {\\n\\tvar integer = Number.isInteger(parseFloat(value));\\n\\tvar sign = Math.sign(value);\\n\\tif (integer && (sign === 1)) {\\n\\t\\treturn true;\\n\\t} else {\\n\\t\\treturn \\\"You must enter a positive number higher than zero.\\\";\\n\\t}\\n}\",\n \"function validateInput(input) {\\n\\n var number = parseInt(input);\\n \\n if (isNaN(number) || number < 0 || number > 7) {\\n return 0;\\n }\\n else {\\n return number;\\n }\\n}\",\n \"function numberCheck (input) {\\n\\tif (input >= 0 && input <= 9) {\\n\\t\\treturn true;\\n\\t} else {\\n\\t\\treturn false;\\n\\t}\\n}\",\n \"function verifyInt(input)\\n{\\n var x = parseInt(input.value, 10);\\n if (isNaN(x) || x < 0) {\\n input.value = \\\"\\\";\\n input.focus();\\n } else\\n gasUse();\\n return;\\n}\",\n \"function validateNumber(value) {\\n if (value % 1 === 0 && value > 0) {\\n return true;\\n } else {\\n console.log(\\\" **** Please enter a whole number above zero. ****\\\");\\n }\\n}\",\n \"function validNumber(num, maxNum) {\\r\\n while (isNaN(num) || num <= 0 || num > maxNum) {\\r\\n num = parseInt(prompt('ERROR. The value you entered is not valid. Please enter a number ranging from 1 to ' + maxNum + '.'));\\r\\n };\\r\\n return num;\\r\\n}\",\n \"function validate(num) {\\r\\n // return Number.isInteger(num);\\r\\n\\r\\n //return num !== isNaN && num >= 0 && num <= 100;\\r\\n return typeof num === \\\"number\\\" && num >= 0 && num <= 100;\\r\\n\\r\\n\\r\\n\\r\\n}\",\n \"function checkNumber (input) {\\n\\t\\tif (input <= 100 && input >= 1) {\\n\\t\\t\\tfizzbuzz();\\n\\t\\t} else if (isNaN(input)) {\\n\\t\\t\\tprompt('You did not enter a number. Please enter a number between 1 and 100');\\n\\t\\t} else {\\n\\t\\t\\tprompt('Your number (' + input + ') is not between 1 and 100. Please enter a number between 1 and 100');\\n\\t\\t}\\n\\t}\",\n \"function validNumberAboveZero(inputNumber){\\n inputNumber = inputNumber.replace(/\\\\s+/,\\\"\\\");\\n inputNumber = inputNumber.replace(/\\\\,+/,\\\".\\\");\\n if(isNaN(parseFloat(+inputNumber))){\\n return false;\\n }\\n if(parseFloat(+inputNumber)<=0){\\n return false;\\n }\\n return true;\\n }\",\n \"function isValidNumber(input) {\\n return typeof input === 'number' && isFinite(input);\\n }\",\n \"function checkNum() {\\n for (let i = arguments.length - 1; i >= 0; i--) {\\n if (isNaN(arguments[i]) || arguments[i] < 0) {\\n return false;\\n }\\n continue;\\n }\\n return true;\\n }\",\n \"function validateInput(value) {\\n\\tvar integer = Number.isInteger(parseFloat(value));\\n\\tvar sign = Math.sign(value);\\n\\n\\tif (integer && (sign === 1)) {\\n\\t\\treturn true;\\n\\t} else {\\n\\t\\treturn 'Please enter a whole non-zero number.';\\n\\t}\\n}\",\n \"function numberValidation(input) {\\n var name = input.id;\\n var value = parseFloat(input.value);\\n var min = parseFloat(input.min);\\n var max = parseFloat(input.max);\\n if (!(value >= min && value <= max)) {\\n return name + \\\" not in range (\\\" + input.min + \\\", \\\" + input.max + \\\")\\\";\\n } else return \\\"valid\\\";\\n}\",\n \"function validateInput(value) {\\n var integer = Number.isInteger(parseFloat(value));\\n var sign = Math.sign(value);\\n\\n if (integer && (sign === 1)) {\\n return true;\\n } else {\\n return 'Please enter a whole number larger than zero.';\\n }\\n}\",\n \"function validateInput(value) {\\n var integer = Number.isInteger(parseFloat(value));\\n var sign = Math.sign(value);\\n\\n if (integer && (sign === 1)) {\\n return true;\\n } else {\\n return 'Please enter a whole non-zero number.';\\n }\\n}\",\n \"verifyPositiveNumber(value) {\\n return parseInt(value) >= 0;\\n }\",\n \"function isValidNumber(input) {\\n return typeof input === 'number' && isFinite(input);\\n }\",\n \"function isValidNumber ( input ) {\\r\\n\\t\\treturn typeof input === 'number' && isFinite( input );\\r\\n\\t}\",\n \"function isValidNumber ( input ) {\\r\\n\\t\\treturn typeof input === 'number' && isFinite( input );\\r\\n\\t}\",\n \"function isValidNumber(input) {\\n return typeof input === \\\"number\\\" && isFinite(input);\\n }\",\n \"function isValidNumber ( input ) {\\n\\t\\treturn typeof input === 'number' && isFinite( input );\\n\\t}\",\n \"function isValidNumber ( input ) {\\n\\t\\treturn typeof input === 'number' && isFinite( input );\\n\\t}\",\n \"function validateInput(input) {\\n\\t\\n\\t/*---------- check if string contains only digits, space & non-zero value ----------*/\\n\\t\\n\\tif(isAllAreDigits(input)){\\n\\n\\t\\tinput.trim(); \\n\\n\\t\\t/*---------- remove intermediate spaces ----------*/\\n\\t\\t\\n\\t\\tinput = input.replace(/\\\\s+/g,' ').trim();\\n\\n\\t\\tinputDigits = input.split(\\\" \\\");\\n\\n\\n\\t\\t/*---------- check maximum value limit ----------*/\\n\\t\\t\\n\\t\\tif( !isLessThanMaxValuePlusNonZero() ){\\n\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\n\\t\\t/*---------- check input length ----------*/\\n\\t\\t\\n\\t\\tif(inputDigits.length > 10){\\n\\n\\t\\t\\terrorMessage = \\\"Numbers exceed maximum limit, Please try again\\\";\\n\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\n\\n\\n\\n\\t\\treturn true;\\n\\t}\\n\\n\\treturn false;\\n}\",\n \"function checkisNum(number) {\\n if(typeof number=== 'number' && number>0 ){\\n return true;\\n }\\n return false;\\n}\",\n \"function isGreaterThanZero()\\n{\\n let num = document.getElementsByClassName(\\\"donation-input\\\")[0].value;\\n num = parseInt(num);\\n if(num>0) return true;\\n else return false;\\n}\",\n \"function inputNumberValid(inputVal) {\\n if ( !(inputVal && inputVal.trim().length) || isNaN(Number(inputVal)) || inputVal < 0) {\\n throw new Error(\\\"Invalid input! A positive numbers only accepted\\\");\\n }\\n return inputVal;\\n}\",\n \"function isValidNumber(input) {\\n // var num = Number.parseInt(input);\\n // var numText = num + \\\"\\\";\\n if (isNaN(input)) {\\n return false;\\n }\\n return true;\\n}\",\n \"function validNumber(value) {\\n const intNumber = Number.isInteger(parseFloat(value));\\n const sign = Math.sign(value);\\n\\n if (intNumber && (sign === 1)) {\\n return true;\\n } else {\\n return 'Please use whole non-zero numbers only.';\\n }\\n}\",\n \"function validateNumber(val) {\\n if(Number.isInteger(parseFloat(val)) == true && Math.sign(val) == 1) {\\n return true\\n } else {\\n return 'Invalid quantity input!!'\\n } \\n}\",\n \"function validateNum(){\\r\\n\\tvar num = document.survey_form.informative.value; //get the value\\r\\n\\t//make sure the entry is a number\\r\\n\\tvar numPattern = /^[0-9]+$/;\\r\\n\\tif(!numPattern.test(num)){alert(\\\"Please enter a numerical value.\\\" )}\\r\\n\\t//if the value is less than 0 or greater than 10, it is not valid.\\r\\n\\tif (num < 0 || num > 10)\\t\\t\\t\\r\\n\\t\\t{alert(\\\"Please enter a number between 0 and 10\\\" )}\\t\\r\\n\\t}\",\n \"function validateInputNumber(input) {\\n\\tinput.value = formatNumber(input.value);\\n\\tif (!isNumber(input.value)) {\\n\\t\\tinput.value = '';\\n\\t}\\n}\",\n \"function inputChecksOut(input){\\n // if(Number.isInteger(input)){\\n // return true\\n // }\\n // else{\\n // return false\\n // }\\n\\n //Or ?\\n\\n return Number.isInteger(input) && input > 0\\n }\",\n \"function isNumberOk(num) {\\n if (num > 0 && num < 99999999) return true;\\n return false;\\n}\",\n \"function validateNum(numberToBeValidated){\\n if (numberToBeValidated % 1 != 0){\\n alert(\\\"Please input an integer\\\");\\n return false; //the function will have false value if the if condition is true\\n }\\n else if (numberToBeValidated < 0 || numberToBeValidated > 100){\\n alert(\\\"Please input the number between the range of 1 and 100\\\");\\n return false;\\n }\\n clearText();\\n // else if for past guesses ask Casey for help about the past guesses else if \\n }\",\n \"function validateValue(input_value) {\\n\\t\\tif (input_value===0) return true; //show limit when value===0\\n\\t\\tif (input_value != '') {\\n\\t\\t\\tif (input_value.length > 9) {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t} else if ((input_value < 0) || (input_value.match(/^0+[,.]0+$/) != null)){\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t} else if (input_value >= 1000000){\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t} else if ((input_value.match(/^\\\\d{1,6}[,.]?\\\\d{0,2}$/) != null) \\n\\t\\t\\t\\t\\t\\t\\t&& (input_value.match(/^\\\\d{1,6}[,.]$/) == null)) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"function validateNumber(numberInput) {\\n var x = numberInput;\\n \\n try {\\n if(x == \\\"\\\") throw \\\"is empty\\\"\\n if(isNaN(x)) throw \\\"is not a number\\\"\\n x = Number(x);\\n if(x > 10) throw \\\"is too high\\\"\\n if(x < 5) throw \\\"is too low\\\"\\n \\n }\\n catch(err) {\\n console.log(\\\"Catch : \\\" + err);\\n }\\n finally {\\n console.log(\\\"Finally : \\\");\\n }\\n}\",\n \"checkNumInput(txt, min, max, err_reason, err_msg){\\n var val\\n // Handle input with errors\\n if (txt === ''){\\n val = ''\\n }\\n else if (Number.isNaN(parseInt(txt))){\\n val = ''\\n this.setInputNumberErrorMessage(err_reason, err_msg)\\n } else if (parseInt(txt).toString() !== txt){\\n val = parseInt(txt)\\n this.setInputNumberErrorMessage(err_reason, err_msg)\\n } else if (parseInt(txt) < min){\\n val = min\\n this.setInputNumberErrorMessage(err_reason, err_msg)\\n } else if (parseInt(txt) > max){\\n val = max\\n this.setInputNumberErrorMessage(err_reason, err_msg)\\n } else {\\n val = parseInt(txt)\\n }\\n\\n return val\\n }\",\n \"function oneDigitAtLeastInput(input) {\\n return /\\\\d+/.test(input.value);\\n}\",\n \"function validateForm(inputCheck) {\\n if ( (isNaN(inputCheck.value)) || (inputCheck.value <= 0) ) {\\n document.getElementById(\\\"errorP\\\").innerHTML = \\\"The input was not correct. Please input valid positive numbers\\\";\\n document.getElementById(\\\"errorP\\\").style.display = \\\"block\\\";\\n }\\n}\",\n \"function isLessThanMaxValuePlusNonZero() {\\n\\t\\n\\tvar len = inputDigits.length;\\n\\n\\tvar i, j;\\n\\n\\tfor(i = 0; i < len; i++){\\n\\n\\t\\tif(inputDigits[i] > MAXVAL){\\n\\n\\t\\t\\terrorMessage = \\\"Maximum value limit exccded, Please try again\\\";\\n\\n\\t\\t\\treturn false\\n\\t\\t}\\n\\n\\t\\tif(inputDigits[i] == 0){\\n\\n\\t\\t\\terrorMessage = \\\"Input value must be non-zero, Please try again\\\";\\n\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t}\\n\\n\\treturn true;\\n}\",\n \"function validateTime(){\\r\\n\\t\\tvar t = document.survey_form.knittime.value; //get the value\\r\\n\\t\\tvar numPattern = /^[0-9]+$/;\\r\\n\\t\\tif(!numPattern.test(t)){alert(\\\"Please enter a numerical value equal to or greater than 0.\\\" )}\\r\\n\\t\\tif( t < 0){alert(\\\"Please enter a value equal to or greater than 0\\\")}\\r\\n\\t}\",\n \"function verifyCost(input, min, max)\\n{\\n var num = parseFloat(input.value);\\n if (isNaN(num) || num < min || num > max) {\\n alert(\\\"Please enter a number between \\\" + min.toFixed(2) + \\\" and \\\" + max.toFixed(2));\\n input.value = \\\"\\\";\\n input.focus();\\n } else\\n gasUse();\\n return;\\n}\",\n \"function validateInput() {\\n if (number < 1 || number > 100) {\\n alert(\\\"Number must be between 1 and 100\\\")\\n inputBox.value = \\\"\\\"\\n return false\\n }\\n return true\\n}\",\n \"function checkNum(str){\\n var num = parseInt(str, 10);\\n return (!isNaN(num) && !(num < 1));\\n}\",\n \"function isNumeric(input) { return (input - 0) == input && input.length > 0;}\",\n \"function isInputNumber(e) {\\n let regularExpresion = new RegExp('^[1-9]?[0-9]{1}$|^100$');\\n let regExpOk = regularExpresion.test(e.target.value);\\n if ( !regExpOk && (e.target.value != '') ){\\n e.preventDefault();\\n e.target.value = '';\\n return false;\\n } else {\\n return true;\\n }\\n}\",\n \"function lessThanOrEqualToZero(num) {\\n if(num <= 0){\\n return true;\\n } else{\\n return false;\\n }\\n}\",\n \"function validar() {\\n if (number < 1) {\\n alert(\\\"Numero ingresado es menor a 1, intente nuevamente.\\\");\\n return false;\\n } else if (number > 20) {\\n alert(\\\"Numero ingresado es mayor a 20, intente nuevamente.\\\");\\n return false;\\n } else if (isNaN(number)) {\\n alert(\\\"No ingresaste un numero, intenta nuevamente.\\\");\\n return false;\\n }\\n}\",\n \"function inputCheck(input){\\n if ( input >= max || input < min || isNaN(input) ){\\n alert('ho detto da 1 a 100');\\n gioca();\\n }\\n}\",\n \"validate(value){\\n value = parseInt(value)\\n if(!isNaN(value)){\\n throw new Error (\\\"Tidak boleh angka\\\")\\n }\\n }\",\n \"validate(value) {\\n if (value < 0) return 0;\\n else if (value > 5) return 5;\\n }\",\n \"function ValidarRangoNumerico(id, min, max) {\\r\\n if (min === void 0) { min = -1; }\\r\\n if (max === void 0) { max = -1; }\\r\\n var value = parseInt(document.getElementById(id).value);\\r\\n if ((max != -1 ? max > value : true) && (min != -1 ? value > min : true)) {\\r\\n return true;\\r\\n }\\r\\n return false;\\r\\n}\",\n \"function validateNumber (inputVal) {\\n let inputNum = Number(inputVal);\\n if (inputNum || inputVal === '' || inputVal === '.' || Number.isInteger(inputNum)) {\\n return true;\\n }\\n return false;\\n}\",\n \"function numberIsNumber(userInput) {\\n var userInputNumber = parseInt(userInput)\\n\\n if (Number.isNaN(userInputNumber) && !userInput) {\\n\\n return false\\n }\\n return true\\n}\",\n \"function checkTournamentNumberInput(){\\n const isNumberValid = !isNaN(parseInt(tournamentNumberInput.value)) && tournamentNumberInput.value < 99\\n\\n if(isNumberValid) {\\n tournamentNumberErrorMessage.classList.add('hidden')\\n } else {\\n tournamentNumberErrorMessage.classList.remove('hidden')\\n }\\n return isNumberValid\\n}\",\n \"function checkNumber (input, error, extra) {\\n if (input.length > extra) {\\n return true\\n }\\n error.classList.remove('hidden')\\n return false\\n}\",\n \"function check(num) {\\n if (Number.isNaN(num) || num <= 0) {\\n return console.log(\\\"ERROR!\\\");\\n }\\n if (num >= 1000000) {\\n return num;\\n }\\n num *= 10;\\n\\n return check(num);\\n}\",\n \"function validateNumberRange(control, min, max, message, showMessage)\\n{\\n var result = true;\\n \\n if (control != null && (isNaN(control.value) || control.value < min || control.value > max))\\n {\\n informUser(control, message, showMessage);\\n result = false;\\n }\\n \\n return result;\\n}\",\n \"function numeroEhValido(numero) {\\n if (numero < 0 || numero > 100) {\\n return false\\n } else {\\n return true\\n }\\n}\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\r\\n\\t\\t if ( n < min || n > max || n != truncate(n) ) {\\r\\n\\t\\t raise( caller, ( name || 'decimal places' ) +\\r\\n\\t\\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\r\\n\\t\\t }\\r\\n\\t\\t\\r\\n\\t\\t return true;\\r\\n\\t\\t }\",\n \"function checkbatchnumber() {\\r\\n var x = new Number;\\r\\n x = Number(document.getElementById(\\\"userbatchnumber\\\").value);\\r\\n if (isNaN(x) || x < 1 || x > document.getElementById(\\\"workload\\\").value) {window.alert(\\\"Illegal workload! Please enter again!\\\");} else {\\r\\n window.alert(\\\"Success\\\");\\r\\n }\\r\\n}\",\n \"function checkInput(value) {\\n return !isNaN(value);\\n}\",\n \"function checkbatchnumber() {\\n var x = new Number;\\n if(document.getElementById(\\\"userbatchnumber\\\") != null){\\n x = Number(document.getElementById(\\\"userbatchnumber\\\").value);\\n if (isNaN(x) || x < 1 || x > document.getElementById(\\\"workload\\\").value) {\\n window.alert(\\\"Illegal workload! Please enter again!\\\");\\n } else {\\n //window.alert(\\\"Success\\\");\\n generate_batch_inputs(x);\\n }\\n }\\n\\n}\",\n \"function validateForm(inputCheck) {\\n if ( (isNaN(inputCheck.value)) || (inputCheck.value <= 0) ) {\\n document.getElementById(\\\"errorP\\\").innerHTML = \\\"The <span id=\\\\\\\"msgError\\\\\\\">Number of Nights</span> was not correct. Please input valid positive numbers\\\";\\n document.getElementById(\\\"errorP\\\").style.display = \\\"block\\\";\\n }\\n}\",\n \"function checkNumber() {\\n const divParent = quantity.parentNode\\n const quantityReg = new RegExp('^[0-9]+$'); // valeur entre 0 et 9 à entrer\\n if (!quantityReg.test(quantity.value)) { // On teste la valeur sur la base de la RegExp\\n divParent.setAttribute('data-error-visible', 'true')\\n divParent.setAttribute('data-error', 'Vous devez entrer un chiffre positif')\\n return false;\\n } else {\\n divParent.setAttribute('data-error-visible', 'false')\\n return true\\n }\\n}\",\n \"function numCheck(){\\n let input = document.querySelector('input[type=\\\"text\\\"]').value;\\n let check = parseInt(input);\\n if (isNaN(check) && input != \\\"\\\"){\\n return false;\\n } else {\\n return true;\\n }\\n}\",\n \"function myFunction() {\\n var x, text;\\n\\n // Get the value of the input field with id=\\\"numb\\\"\\n x = document.getElementById(\\\"numb\\\").value;\\n\\n // If x is Not a Number or less than one or greater than 10\\n if (isNaN(x) || x < 1 || x > 10) {\\n text = \\\"Input not valid\\\";\\n } else {\\n text = \\\"Input OK\\\";\\n }\\n document.getElementById(\\\"demo\\\").innerHTML = text;\\n}\",\n \"function checkInteger( pValue, pName, pMinimum, pMaximum ) \\n{\\n if ( !checkFormat( pValue, pName, \\\"integer\\\", \\\"\\\" ) ) \\n {\\n return false;\\n } \\n else \\n {\\n var lNumber = 0 + pValue;\\n if ( pMinimum <= pMaximum && lNumber < pMinimum ) \\n {\\n alert( \\\"Field: \\\" + pName + \\\" contains a number less than the minimum: \\\" + pMinimum );\\n return false;\\n }\\n if ( lNumber > pMaximum ) \\n {\\n alert( \\\"Field: \\\" + pName + \\\" contains a number greater than the maximum: \\\" + pMaximum );\\n return false;\\n }\\n } //end if/else\\n\\n return true;\\n\\n} // End function checkInteger\",\n \"function validarNumeros(parametro) {\\r\\n\\tif (!/^([0-9])*$/.test(parametro)) {\\r\\n\\t\\treturn false;\\r\\n\\t}else {\\r\\n\\t\\treturn true;\\r\\n\\t}\\r\\n}\",\n \"function intValidatorWithErrors(n, min, max, caller, name) {\\n if (n < min || n > max || n != truncate(n)) {\\n raise(caller, (name || 'decimal places') + (n < min || n > max ? ' out of range' : ' not an integer'), n);\\n }\\n\\n return true;\\n }\",\n \"function EntryCheckForNumbers() {\\r\\n let userEntry ; \\r\\n do {userEntry = +prompt('attention please - only Numbers');} \\r\\n while (userEntry !== +userEntry || userEntry === 0); \\r\\n console.log ('Thank you very much');\\r\\n return userEntry;\\r\\n}\",\n \"async function checkBottomRange(input) {\\n if (!isNumeric(input)) {\\n console.log(\\n `\\\\n${input} is not a valid number. Enter something else please!\\\\n`\\n );\\n await getBottomRange();\\n } else if (isNumeric(input) === true && parseFloat(input) % 1 != 0) {\\n console.log(\\\"\\\\nIntegers only, please!\\\\n\\\");\\n await getBottomRange();\\n } else if (isNumeric(input) === true && parseFloat(input) < 0) {\\n console.log(\\\"\\\\nNo negative numbers, please. Let's try again.\\\\n\\\");\\n await getBottomRange();\\n } else {\\n return;\\n };\\n }\",\n \"function validar(num1){\\n if(isNaN(num1)){\\n return false;\\n } else {\\n return true;\\n }\\n}\",\n \"function validateNum(num){\\n var reg = /^\\\\d+$/;\\n return reg.test(num) || \\\"Please enter a number!\\\";\\n}\",\n \"function validation(){\\n\\tvar withpeople = document.getElementById(\\\"switch-people\\\").checked;\\n\\tif (withpeople){\\n\\t\\tvar x=document.getElementById(\\\"people-num\\\").value;\\n\\t var regex=/^[0-9]+$/;\\n\\t if (x.match(regex) == null)\\n\\t {\\n\\t \\t//alert(\\\"Must input a number\\\");\\n\\t document.getElementById(\\\"num_alert\\\").style.display=\\\"block\\\";\\n\\t $(\\\"#people-num\\\").focus();\\n\\t return false;\\n\\t }\\n\\t}\\n\\telse\\n\\t\\tdocument.getElementById(\\\"people-num\\\").value = 0;\\n}\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\n\\t if ( n < min || n > max || n != truncate(n) ) {\\n\\t raise( caller, ( name || 'decimal places' ) +\\n\\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\n\\t }\\n\\t\\n\\t return true;\\n\\t }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\n\\t if ( n < min || n > max || n != truncate(n) ) {\\n\\t raise( caller, ( name || 'decimal places' ) +\\n\\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\n\\t }\\n\\t\\n\\t return true;\\n\\t }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\r\\n\\t if ( n < min || n > max || n != truncate(n) ) {\\r\\n\\t raise( caller, ( name || 'decimal places' ) +\\r\\n\\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\r\\n\\t }\\r\\n\\r\\n\\t return true;\\r\\n\\t }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\n\\t if ( n < min || n > max || n != truncate(n) ) {\\n\\t raise( caller, ( name || 'decimal places' ) +\\n\\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\n\\t }\\n\\n\\t return true;\\n\\t }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\n\\t if ( n < min || n > max || n != truncate(n) ) {\\n\\t raise( caller, ( name || 'decimal places' ) +\\n\\t ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\n\\t }\\n\\n\\t return true;\\n\\t }\",\n \"function isValid(value) {\\n return value || value === 0;\\n}\",\n \"function validaMaximo(numero){ \\n if (!/^([0-9])*$/.test(numero)||(numero === \\\"\\\")){\\n alert(\\\"[ERROR] Stock Maximo invalido\\\");\\n document.getElementById(\\\"maximo\\\").value= \\\"0\\\"; \\n document.getElementById(\\\"maximo\\\").focus();\\n }\\n }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\r\\n if ( n < min || n > max || n != truncate(n) ) {\\r\\n raise( caller, ( name || 'decimal places' ) +\\r\\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\r\\n }\\r\\n\\r\\n return true;\\r\\n }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\r\\n if ( n < min || n > max || n != truncate(n) ) {\\r\\n raise( caller, ( name || 'decimal places' ) +\\r\\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\r\\n }\\r\\n\\r\\n return true;\\r\\n }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\r\\n if ( n < min || n > max || n != truncate(n) ) {\\r\\n raise( caller, ( name || 'decimal places' ) +\\r\\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\r\\n }\\r\\n\\r\\n return true;\\r\\n }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\r\\n if ( n < min || n > max || n != truncate(n) ) {\\r\\n raise( caller, ( name || 'decimal places' ) +\\r\\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\r\\n }\\r\\n\\r\\n return true;\\r\\n }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\r\\n if ( n < min || n > max || n != truncate(n) ) {\\r\\n raise( caller, ( name || 'decimal places' ) +\\r\\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\r\\n }\\r\\n\\r\\n return true;\\r\\n }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\r\\n if ( n < min || n > max || n != truncate(n) ) {\\r\\n raise( caller, ( name || 'decimal places' ) +\\r\\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\r\\n }\\r\\n\\r\\n return true;\\r\\n }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\r\\n if ( n < min || n > max || n != truncate(n) ) {\\r\\n raise( caller, ( name || 'decimal places' ) +\\r\\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\r\\n }\\r\\n\\r\\n return true;\\r\\n }\",\n \"function intValidatorWithErrors( n, min, max, caller, name ) {\\r\\n if ( n < min || n > max || n != truncate(n) ) {\\r\\n raise( caller, ( name || 'decimal places' ) +\\r\\n ( n < min || n > max ? ' out of range' : ' not an integer' ), n );\\r\\n }\\r\\n\\r\\n return true;\\r\\n }\",\n \"function intValidatorWithErrors(n, min, max, caller, name) {\\n if (n < min || n > max || n != truncate(n)) {\\n raise(caller, (name || 'decimal places') + (n < min || n > max ? ' out of range' : ' not an integer'), n);\\n }\\n\\n return true;\\n }\",\n \"function intValidatorWithErrors(n, min, max, caller, name) {\\n if (n < min || n > max || n != truncate(n)) {\\n raise(caller, (name || 'decimal places') + (n < min || n > max ? 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userAmount) + ' WHERE item_id = ' + chosenID;\n\n //update the table stock quantity\n connection.query(updateQueryStr, function (err, data) {\n if (err) throw err;\n\n console.log(\"Your order is on it's way! The total price is $\" + itemData.price * userAmount);\n\n connection.end();\n\n });\n\n } else {\n console.log(\"Sorry! There is not enough product in stock\");\n\n //display table after values are updated\n start();\n }\n\n\n }\n\n\n });\n\n });\n\n}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["function userPurchase() {\n inquirer\n .prompt([\n {\n name: \"id\",\n type: \"input\",\n message: \"\\nWhat's the item ID of the product you would like to buy? \",\n filter: Number\n },\n {\n name: \"quantity\",\n type: \"input\",\n message: \"How many items do you wish to buy? \",\n filter: Number\n },\n\n]).then(function(answer) {\n var selectedID = answer.id;\n var numberOfItems = answer.quantity;\n console.log(selectedID, numberOfItems);\n calcPurchase(selectedID, numberOfItems);\n });\n}","function promptUserPurchase() {\n inquirer.prompt([\n {\n name: \"itemID\",\n message: \"What is the id number of the item you wish to purchase?\"\n },\n {\n name: \"quantity\",\n message: \"How many do you wish to buy?\"\n }\n ]).then(function (answers) {\n if ((answers.itemID === \"x\") || (answers.quantity === \"x\")) {\n process.exit();\n }\n var purchaseItem = answers.itemID;\n var purchaseQty = answers.quantity;\n checkStockQuantity(purchaseItem, purchaseQty);\n });\n}","function purchaseItem(){\n inquirer.prompt([\n {\n name: \"id\",\n type: \"input\",\n message: \"Please enter item ID of item you would like to purchase.\",\n filter: Number\n },\n {\n name: \"Quantity\",\n type: \"input\",\n message: \"How many would you like to purchase?\",\n filter: Number\n },\n ]).then(function(response){\n var quantity = response.Quantity;\n var itemId = response.id;\n orderItem(itemId, quantity);\n });\n}","function promptCustomer() {\n inquirer.prompt([{\n name: \"ID\",\n type: \"input\",\n message: \"Please enter Item ID you like to purhcase.\",\n filter: Number\n },\n {\n name: \"Quantity\",\n type: \"input\",\n message: \"How many copies would you like?\",\n filter: Number\n },\n ]).then(function (answers) {\n var quantityNeeded = answers.Quantity;\n var IDrequested = answers.ID;\n purchaseOrder(IDrequested, quantityNeeded);\n });\n}","function handleUser(){\n inq.prompt([\n {\n name: \"id\",\n message: \"Which product that you want to purchase? Please enter its ID.\",\n validate: function(input){\n input = parseInt(input);\n // User input needs to be integer and has to be a valid id\n return ! (isNaN(input) || input > last_id || input <= 0);\n }\n },\n {\n name: \"quantity\",\n message: \"How many do you want to order?\",\n validate: function(input){\n input = parseInt(input);\n // User input needs to be integer and cannot less than 0\n return ! (isNaN(input) || input < 0 );\n }\n } \n ]).then((ans)=>{\n printReceipt(ans);\n });\n}","function shopping() {\n inquirer.prompt([\n {\n name: \"idSearch\",\n type: \"input\",\n message: \"Please enter the id of the product you would like.\"\n },\n {\n name: \"quantity\",\n type: \"input\",\n message: \"How much would you like?\"\n }\n ]).then(function (response) {\n //sets inputs to variables and pushes them into the purchase function\n var requestedId = response.idSearch;\n var desiredQuantity = response.quantity;\n purchase(requestedId, desiredQuantity);\n });\n}","function promptUser() {\n inquirer\n .prompt([\n {\n message: \"Please, insert ID of item you would like to buy\",\n type: \"input\",\n name: \"ID\"\n },\n {\n message: \"How many items would you like to purchase?\",\n type: \"input\",\n name: \"count\"\n }\n ])\n .then(answers => {\n checkQuantity(answers.count, answers.ID);\n });\n }","function promptUserPurchase() {\n\t// console.log('___ENTER promptUserPurchase___');\n\n\t// Prompt the user to select an item\n\tinquirer.prompt([\n\t\t{\n\t\t\ttype: 'input',\n\t\t\tname: 'item_id',\n\t\t\tmessage: 'Please enter the Item ID which you would like to purchase.',\n\t\t\tvalidate: validateInput,\n\t\t\tfilter: Number\n\t\t},\n\t\t{\n\t\t\ttype: 'input',\n\t\t\tname: 'quantity',\n\t\t\tmessage: 'How many do you need?',\n\t\t\tvalidate: validateInput,\n\t\t\tfilter: Number\n\t\t}\n\t]).then(function(input) {\n\t\t// console.log('Customer has selected: \\n item_id = ' + input.item_id + '\\n quantity = ' + input.quantity);\n\n\t\tvar item = input.item_id;\n\t\tvar quantity = input.quantity;\n\n\t\t// Query db to confirm that the given item ID exists in the desired quantity\n\t\tvar queryStr = 'SELECT * FROM products WHERE ?';\n\n\t\tconnection.query(queryStr, {item_id: item}, function(err, data) {\n\t\t\tif (err) throw err;\n\n\t\t\t// If the user has selected an invalid item ID, data attay will be empty\n\t\t\t// console.log('data = ' + JSON.stringify(data));\n\n\t\t\tif (data.length === 0) {\n\t\t\t\tconsole.log('ERROR: Invalid Item ID. Please select a valid Item ID.');\n\t\t\t\tdisplayInventory();\n\n\t\t\t} else {\n\t\t\t\tvar productData = data[0];\n\n\t\t\t\t// console.log('productData = ' + JSON.stringify(productData));\n\t\t\t\t// console.log('productData.stock_quantity = ' + productData.stock_quantity);\n\n\t\t\t\t// If the quantity requested by the user is in stock\n\t\t\t\tif (quantity <= productData.stock_quantity) {\n\t\t\t\t\tconsole.log('Congratulations, the product you requested is in stock! Placing order!');\n\n\t\t\t\t\t// Construct the updating query string\n\t\t\t\t\tvar updateQueryStr = 'UPDATE products SET stock_quantity = ' + (productData.stock_quantity - quantity) + ' WHERE item_id = ' + item;\n\t\t\t\t\t// console.log('updateQueryStr = ' + updateQueryStr);\n\n\t\t\t\t\t// Update the inventory\n\t\t\t\t\tconnection.query(updateQueryStr, function(err, data) {\n\t\t\t\t\t\tif (err) throw err;\n\n\t\t\t\t\t\tconsole.log('Your oder has been placed! Your total is $' + productData.price * quantity);\n\t\t\t\t\t\tconsole.log('Thank you for shopping with us!');\n\t\t\t\t\t\tconsole.log(\"\\n---------------------------------------------------------------------\\n\");\n\n\t\t\t\t\t\t// End the database connection\n\t\t\t\t\t\tconnection.end();\n\t\t\t\t\t})\n\t\t\t\t} else {\n\t\t\t\t\tconsole.log('Sorry, there is not enough product in stock, your order can not be placed as is.');\n\t\t\t\t\tconsole.log('Please modify your order.');\n\t\t\t\t\tconsole.log(\"\\n---------------------------------------------------------------------\\n\");\n\n\t\t\t\t\tdisplayInventory();\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t})\n}","function startpurchase() {\n inquirer\n .prompt([\n {\n name: \"itemID\",\n type: \"input\",\n message: \"What is the ID of the product you wish to purchase?\",\n },\n {\n name: \"quantity\",\n type: \"input\",\n message: \"How many units would you like to buy?\"\n }\n ]).then(function(inquirerResponse) {\n userAnswer = {\n item_id: parseInt(inquirerResponse.item_id),\n quantity: parseInt(inquirerResponse.quantity)\n }\n {\n checkStore(userAnswer);\n }\n })\n}","function orderPrompt(greatestId){\n inquirer.prompt([\n {\n name: \"id\",\n message: \"Which item would you like to purchase(id)?\".question,\n validate: function(input){\n // Input must be a positive number that cannot be greater than the id of the last product in database\n if(input > greatestId || !numberRegex.test(input)){\n console.log(\"\\n Please enter a valid Id\".error);\n return false;\n }\n else{\n return true;\n }\n }\n },\n {\n name: \"quantity\",\n message: \"How many would you like to purchase?\".question,\n validate: function(input){\n // Input must be a whole number\n if(numberRegex.test(input)){\n return true;\n }\n else{\n console.log(\"Please enter whole numbers\".error);\n return false;\n }\n }\n }\n ]).then(function(input){\n var id = input.id;\n var quantity = input.quantity;\n console.log(\"\\n Checking out...\".cyan);\n checkStorage(id, quantity);\n })\n}","function purchaseItem() {\n\tinquirer.prompt([{\n\t\tname: \"puchaseItemID\",\n\t\ttype: \"input\",\n\t\tmessage: \"What is the ID Number of the item you'd like to purchase?\",\n\t\tvalidate: function(value) {\n\t\t\tif (value >= 1 && value <= 12) {\n\t\t\t\treturn true;\n\t\t\t} else {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}, \n\n\t{\n\t\tname: \"purchaseQty\",\n\t\ttype: \"input\",\n\t\tmessage: \"How many of this item would you like to purchase?\",\n\t\tvalidate: function(value) {\n\t\t\tif (value) {\n\t\t\t\treturn true;\n\t\t\t} else {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t},\t\t\n\t}]).then(function(response) {\n\t\t// connection.query(\"SELECT * FROM products\", function(err, res) {\n\t\t\t// console.log(res);\n\t\t// });\n\t\torderItem(response);\n\t});\n}","function customerSelect () {\n inquirer.prompt([\n {\n type: 'input',\n name: 'item_num',\n validate: (test_value) => { // check for an integer number > 0\n return (/^\\d*$/.test(test_value) && test_value > 0) ? true : 'Enter a whole number greater than zero';\n },\n message: 'Enter the Item ID (# above) of the product you wish to purchase'\n },\n {\n type: 'input',\n name: 'item_qty',\n validate: (test_value) => { // check for an integer number > 0\n return (/^\\d*$/.test(test_value) && test_value > 0) ? true : 'Enter a whole number from the list above.';\n },\n message: `Enter the quantity you wish to purcahse`\n }\n ])\n .then( (result) => {\n let id = result.item_num;\n let qty = result.item_qty;\n //console.log(id,qty);\n fillOrder(id, qty);\n });\n}","function requestProduct() {\n inquirer.\n prompt([{\n name: \"productID\",\n type: \"input\",\n message: \"What product would you like to buy? (Enter Product ID #)\",\n validate: validateInput,\n filter: Number\n }, {\n name: \"productUnits\",\n type: \"input\",\n message: \"How many units would you like to buy?\",\n validate: validateInput,\n filter: Number\n\n }]).then(function (input) {\n completePurchase(input);\n\n });\n}","function purchase() {\n inquirer\n .prompt([\n {\n type: \"input\",\n name: \"itemID\",\n message: \"What is the ID of the item you would like to purchase?\",\n validate: function(value) {\n if (isNaN(value) === false && value !== '' && parseInt(value) > 0) {\n return true;\n } else {\n console.log(\"\\nPlease enter a valid ID.\");\n return false;\n }\n }\n },\n {\n type: \"input\",\n name: \"itemQuantity\",\n message: \"How many would you like?\",\n validate: function(value) {\n if (isNaN(value) === false && value !== '' && parseInt(value) > 0) {\n return true;\n } else {\n console.log(\"\\nPlease enter a valid quantity.\");\n return false;\n }\n }\n }\n ])\n .then(function(choice) {\n //console.log(\"User's choice: \", choice);\n\n var currentItem = currentInventory.filter(\n item => item.id === parseInt(choice.itemID)\n );\n \n // Above function if written in longer form\n // var currentItem = currentInventory.filter(function(item) {\n // return item.id === parseInt(choice.itemID);\n // });\n\n //console.log(\"currentItem\", currentItem);\n //console.log(\"choice.itemQuantity\", parseInt(choice.itemQuantity));\n //console.log(\"currentItem.stock_quantity\", currentItem[0].stock_quantity);\n \n // if item ID given by the customer does NOT match the ID in the 'products' table\n if (currentItem.length == 0) {\n console.log(\"Sorry that item doesn't exist\");\n // ask customer if they want to move onto a different purchase\n confirmNextPurchase();\n\n //if item ID given by the customer DOES match the ID in the 'products' table\n } else {\n // If the quantity requested is LESS THAN OR EQUAL to the stock quantity\n if (parseInt(choice.itemQuantity) <= currentItem[0].stock_quantity) {\n //fulfill order\n //console.log(\"Enough quantity\");\n console.log(\"You have picked \" + choice.itemQuantity + \" of the \" + currentItem[0].product_name + \".\")\n var cost = parseInt(choice.itemQuantity) * currentItem[0].price;\n console.log(\"Please pay the total of $\" + cost + \" before moving onto the next purchase!\")\n \n // Check if the customer paid\n paidOrUnpaid( function(isPaid) {\n if(isPaid){\n // ONLY update the inventory (aka the 'products' table) if the customer has PAID\n\n //console.log('isPaid working');\n var updatedStock = currentItem[0].stock_quantity - choice.itemQuantity;\n //console.log(\"updatedStock\", updatedStock);\n\n // UPDATE the 'stock_quantity' in the 'products' table using the product ID chosen by the customer after the purchase\n updateInventory(parseInt(choice.itemID), updatedStock);\n confirmNextPurchase();\n // Ends connection if the amount is NOT PAID\n } else {\n console.log(\"The amount is not paid.\");\n connection.end();\n }\n });\n // If the quantity requested is GREATER THAN the stock quantity\n } else {\n // Alert customer about the quantity left\n console.log(\"Insufficient quantity!\");\n console.log(\"We only have \" + currentItem[0].stock_quantity + \" of the \" + currentItem[0].product_name + \" left.\")\n // Ask if customer would like to move onto a new purchase\n confirmNextPurchase();\n }\n }\n });\n}","function purchaseQuestions() {\n inquirer\n .prompt([\n {\n type: \"input\",\n name: \"id\",\n message: \"Enter the ID of the product you would like to purchase.\"\n },\n {\n type: \"input\",\n name: \"amount\",\n message: \"How many units would you like?\"\n }\n ]).then(function (answer) {\n productId = answer.id;\n quantity = answer.amount;\n itemPurchase();\n })\n}","function customerPrompt() {\r\n inquirer\r\n .prompt([{\r\n name: \"item_id\",\r\n type: \"input\",\r\n message: \"What is the ID of the product you would like to purchase?\",\r\n },\r\n\r\n {\r\n name: \"quantity\",\r\n type: \"input\",\r\n message: \"How many of this product would you like to purchase?\",\r\n\r\n\r\n }]).then(function (answer) {\r\n connection.query(\"SELECT item_id, product_name, department_name, price, stock_quantity FROM products WHERE?\", { item_id: answer.item_id }, function (err, res) {\r\n for (var i = 0; i < res.length; i++)\r\n if (res[i].stock_quantity >= answer.quantity) {\r\n \r\n console.log(\"There is sufficient stock to fill this order\" );\r\n }\r\n else {\r\n console.log(\"Insufficient stock, order cannot be completed, please try again\");\r\n\r\n }\r\n \r\n connection.end();\r\n })\r\n })\r\n }","function mainPrompt() {\n inquirer.prompt([\n {\n type: \"input\",\n name: \"itemID\",\n message: \"Please enter the item ID of the item you would like to purchase.\",\n },\n {\n type: \"input\",\n name: \"quantity\",\n message: \"How many would you like to purchase?\"\n }\n ]).then(function(answer) {\n \n // Necessary to turn the string into an integer for future calculations\n purchaseQuantity = parseInt(answer.quantity);\n itemID = answer.itemID;\n\n // Error checking...looking to see if it the item ID selected is in range\n if (itemID < 1 || itemID > lastItemID) {\n console.log(\"\\n**** You did not enter a valid Item ID. Please try again.\\n\");\n start();\n } else {\n purchaseItem();\n }\n });\n} // End mainPrompt function","function purchase() {\n connection.query(\"SELECT * FROM products\", function (err, res) {\n if (err) throw err;\n console.table(res);\n inquirer.prompt([{\n name: \"itemId\",\n type: \"number\",\n message: \"Enter the item ID of the item you want to buy.\".brightYellow\n },\n {\n name: \"itemQuantity\",\n type: \"number\",\n message: \"Excellent Choice! How many would you like?\".brightYellow\n }]).then(function (answer) {\n saleItem = answer.itemId - 1;\n saleQuantity = answer.itemQuantity;\n checkInv()\n\n });\n\n });\n\n}","function buyPrompt() {\n inquirer\n .prompt([\n {\n name: \"prodChoice\",\n type: \"input\",\n message: \"What's the ID of the product you'd like to purchase?\",\n validate: function (value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n },\n {\n name: \"count\",\n type: \"input\",\n message: \"How many units would you like to purchase?\",\n validate: function (value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n }\n ])\n .then(function (answer) {\n\n checkPurchase(answer.prodChoice, answer.count);\n\n });\n}","function userInput(){\n\n inquirer\n .prompt([\n {\n type: \"input\",\n name: \"itemId\",\n message: \"Type the ID of the item you would like to purchase\"\n },\n {\n type: \"input\",\n name: \"itemQuantity\",\n message: \"How many?\"\n }\n ])\n .then(answer => {\n \n var id = answer.itemId;\n var quantity = answer.itemQuantity;\n\n getProductQuantity(id,quantity);\n\n })\n }","function whatToBuy() {\n inquirer.prompt([\n {\n type: \"input\",\n name: \"itemID\",\n message: \"Enter the Item ID of the item would you like to purchase\",\n validate: function (input) {\n if (isNaN(input)) {\n return \"Enter the product number\";\n } else {\n return true;\n }\n }\n }\n ]).then(function (user) {\n itemToBuy = user.itemID;\n // after user input is entered, call checkIfItem function\n checkIfItem();\n });\n}","function promptForId(inventory) {\n inquirer\n .prompt([{\n name: \"item_id\",\n type: \"input\",\n message: \"What is the id of the product you would like to buy?\",\n // validates that the response is a number value\n validate: function (value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n }\n ])\n .then(function (answer) {\n\n var id = parseInt(answer.item_id);\n // product = whole row resulting from checkinventory fxn\n var product = checkInventory(id, inventory);\n if (product) {\n promptForQuantity(product);\n } else {\n console.log(\"the item id is invalid\");\n readProducts();\n }\n });\n}","function promptBuy() {\n\n //storing the item the user selects for validation in the second prompt\n var userItem = {\n id: 0,\n quantity: 0\n };\n inquirer.prompt([\n {\n type: \"input\",\n message: \"Please enter the [ID] for the item you would like to purchase\",\n name: \"id\",\n validate: function (value) {\n var isValid = false;\n\n //validates that the value entered matched an id for an item in stock\n for (var index in stock) {\n if (stock[index].ItemID == parseInt(value)) {\n isValid = true;\n //stores the data from the item the user selected in the local var to use later\n userItem.id = stock[index].ItemID;\n userItem.quantity = stock[index].StockQuantity;\n }\n }\n return (isValid) ? isValid : \"Please enter a valid [ID]\";\n\n }\n },\n {\n type: \"input\",\n message: \"Please enter the quantity you would like to purchase\",\n name: \"quantity\",\n validate: function (value) {\n var isValid = false;\n\n //validates that the quantity entered is a number\n if (isNaN(value) == false) {\n\n //validates that there is enough quantity in stock for the user to be able to purchase the quantity entered.\n for (var index in stock) {\n if (userItem.id == stock[index].ItemID && userItem.quantity >= parseInt(value)) {\n isValid = true;\n }\n }\n return (isValid) ? isValid : \"We do not have enough stock for that order\";\n } else {\n return \"Please enter a valid number\";\n }\n\n }\n }\n ]).then(function (buy) {\n //runs the buy update function\n buyUpdate(buy.id, buy.quantity);\n });\n}","function askProductID(results){\n \n inquirer\n .prompt ([\n {\n type: \"Input\",\n name:\"selection\",\n message:\"What is the id for the item you want to buy?\"\n }\n\n ])\n .then (function (Input) {\n \n var selectionId = parseInt(Input.selection);\n \n var product=checkInventory(selectionId, results);\n\n //if product with selected id exists ask the user for quantity \n if(product){\n askForQuantity(product);\n }else \n {\n //if product was not found \n console.log(\"selected item is out of stock, please select another item from the list \")\n displyProducts();\n }\n });\n}","function askUserForOder(){\n inquire.prompt([\n {\n type: \"input\",\n message: \"Enter item ID to purchase: \",\n name: \"itemID\"\n },\n {\n type: \"input\",\n message: \"Enter quantity to purchase: \",\n name: \"quantity\"\n }\n ]).then(function(inquirerResponse) {\n // console.log(inquirerResponse);\n // console.log(inquirerResponse.itemID);\n\n //loop itmes array to check if id entered exists and if not tell user. this piece I will code later.\n let validID = false;\n for (let j in itemsAvailable){\n if (itemsAvailable[j].itemid === parseInt(inquirerResponse.itemID)){\n validID = true; \n }\n }\n // check if no selection restart app\n if(!validID || inquirerResponse.itemID === \"\" || inquirerResponse.quantity === \"\"){\n console.log('A valid selection is needed !!');\n proceed();\n }else{\n var qString = \"\";\n var totalcost=0;\n const customerQuantity = parseInt(inquirerResponse.quantity);\n // query database to check if in stock\n qString = \"SELECT stock_quantity,price FROM products WHERE item_id =\"+parseInt(inquirerResponse.itemID);\n \n connection.query(qString,function(err,results){\n if(err) throw err;\n // console.log(results);\n // console.log(results[0].stock_quantity);\n\n //compare quantity to order and actual stock\n if(customerQuantity > results[0].stock_quantity){\n console.log('Your order exceeds items in stock.');\n console.log('Only '+results[0].stock_quantity+' item(s) in stock.');\n console.log(\"Your order was unsuccessful\");\n console.log(\"Please revise your order.\");\n initializeApp();\n }else{\n //place order and update stock.\n totalcost = results[0].price * customerQuantity;\n qString = \"UPDATE products SET stock_quantity = stock_quantity -\"+customerQuantity+\" WHERE ?\"\n connection.query(qString,\n [\n {\n item_id:parseInt(inquirerResponse.itemID)\n }\n ],function(err,results){\n if(err) throw err;\n console.log(\"Your order was successful. \\nYour order total is: \"+\"$\"+totalcost+\" \\nThank you\");\n proceed();\n });\n } \n });\n }\n });\n}","function prompt() {\n inquirer\n .prompt([\n {\n // The first should ask them the ID of the product they would like to buy.\n name: \"itemID\",\n type: \"input\",\n message: \"What is the ID of the item you would like to purchase?\"\n },\n {\n //The second message should ask how many units of the product they would like to buy.\n name: \"numUnits\",\n type: \"input\",\n message: \"How many units would you like?\"\n }\n ])\n .then(function(answer) {\n // console.log(answer.itemID);\n // console.log(answer.numUnits);\n checkItem(answer.itemID, answer.numUnits);\n });\n }","function purchase(quantityRemaining, quantityRequest, price, id) {\n if (quantityRemaining < quantityRequest) {\n inquirer\n .prompt({\n name: \"editRequest\",\n type: \"rawlist\",\n message:\n \"Insufficient quantity to fullfill order. Would you like to change your request to a smaller value?\",\n choices: [\"Yes\", \"No\"]\n })\n .then(function(data) {\n if (data.confirm === \"No\") {\n console.log(\"Thank you for your business!\");\n connection.end();\n } else {\n runSearch();\n }\n });\n } else {\n total = total + price * quantity;\n connection.query(\n \"UPDATE products SET stock_quantity = stock_quantity - \" +\n quantity +\n \" WHERE ?\",\n [\n {\n item_id: id\n }\n ],\n //alert user of the balance for their current request, if they want to make additional purchases \n //then price and quantity is added to the \"total\" variable.\n function(err, res) {\n if (err) throw err;\n\n inquirer\n .prompt({\n name: \"confirm\",\n type: \"rawlist\",\n message:\n \"\\nYour total for this transaction is: $\" +\n (price * quantity).toString() +\n \". Would you like to make another purchase?\",\n choices: [\"Yes\", \"No\"]\n })\n .then(function(data) {\n if (data.confirm === \"No\") {\n console.log(\"\\nThe total for today is: $\" + total.toString());\n connection.end();\n } else {\n runSearch();\n }\n });\n }\n );\n }\n}","function prompt(){\n\tinquirer.prompt([{\n\t\tname: \"buy_item\",\n\t\ttype: \"input\",\n\t\tmessage: \"What would you like to purchase? (Type in Item ID)\",\n\t\tvalidate: function(val){//http://simiansblog.com/2015/05/06/Using-Inquirer-js/\n\t\t\tif (isNaN(val) === false){\n\t\t\t\treturn true\n\t\t\t}\n\t\t\treturn false\n\t\t}\n\t},\n\t{\n\t\tname: \"buy_quant\",\n\t\ttype: \"input\",\n\t\tmessage: \"Hom many would you like?\",\n\t\tvalidate: function(val){ //or can read https://www.npmjs.com/package/inquirer\n\t\t\tif (isNaN(val) === false) {\n\t\t\t\treturn true\n\t\t\t}\n\t\t\treturn false\n\t\t}\n\t}]).then(function(res) {\n\t\tvar item = parseInt(res.buy_item); //user inputted item id: assumption that database will not change item id\n\t\tvar quant = parseInt(res.buy_quant); //user will give quantity\n\t\tvar product = productArr[item-1]; //get the product from the stored array list\n\t\t// this is instead of doing another query call to database, which probably is best if database is really large; don't want to be storing everything in js meomry\n\t\tif (quant > product.quant) {\n\t\t\tconsole.log(\"Not enough items in stock; there are only \"+product.quant+\" left!\");\n\t\t\tconsole.log(\"Please re-select: \");\n\t\t\tprompt(); //user will have to re-select what and how many they will buy\n\t\t}\n\t\telse {\n\t\t\tdisplay(product);\n\t\t\tvar total = quant*product.price;\n\t\t\tconsole.log(\"your total comes to $\"+total);\n\n\t\t\tinquirer.prompt([{\n\t\t\t\tname: \"confirm\",\n\t\t\t\ttype: \"confirm\",\n\t\t\t\tmessage: \"Confirm purchase?\",\n\t\t\t\tdefault: true\n\t\t\t}]).then(function(res){\n\t\t\t\tif (res.confirm){\n\t\t\t\t\tvar left = product.quant - quant;\n\t\t\t\t\tconsole.log(\"Purchase successful!!\");\n\t\t\t\t\tinventory(item, left);\n\t\t\t\t}\n\t\t\t\telse{\n\t\t\t\t\t//if don't want to purchase can end session\n\t\t\t\t\tconsole.log(\"Good Bye! Thanks for coming\");\n\t\t\t\t\tconnection.end();\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t});\n}","function promptBuy(){\n var query = \"SELECT productID FROM products\"; \n connection.query(query, (err, result) => {\n if(err) throw err;\n inquirer.prompt([\n {\n name: \"getItem\",\n type: \"list\",\n message: \"Select the ID number of the product you wish to buy:\",\n choices: function(){\n var itemsArr = [];\n for(var i = 0; i < result.length; i++){\n itemsArr.push(`${result[i].productID}`);\n }\n return itemsArr;\n }\n },\n {\n name: \"getUnits\",\n message: \"How many units would you like to purchase?\",\n type: \"input\",\n validate: function(value){\n if (value.length){\n return true; \n } else{\n return \"Sorry, you must enter a quantity\"; \n } \n }\n }\n ]).then(answer => {\n console.log(\"Checking to see if enough inventory...\");\n checkInventory(answer); \n })\n }) \n}","function promptCustomer() {\n\tinquirer.prompt([\n\t{\n\t\tname: \"id\",\n\t\ttype: \"input\",\n\t\tmessage: \"\\nPlease input the ID number of the item you would like to purchase\"\n\t}, {\n\t\tname: \"quantity\",\n\t\ttype: \"input\",\n\t\tmessage: \"\\nHow many of this item would you like to purchase?\"\n\t}\n\t]).then(function(response) {\n\t\tchosenId = parseFloat(response.id);\n\t\tchosenQuant = parseFloat(response.quantity);\n\t\tvar chosenItem;\n\t\tconnection.query(\"SELECT * FROM products\", function(err, res) {\n\t\t\tif (err) throw err;\n\t\t\tfor (var i = 0; i < res.length; i++) {\n\t\t\t\tif (res[i].item_id === chosenId) {\n\t\t\t\t\tchosenItem = res[i];\n\t\t\t\t};\n\t\t\t};\n\t\t\t// console.log(chosenItem.product_name); //for debugging\n\t\t\tif (chosenItem.stock_quantity < chosenQuant) {\n\t\t\t\tconsole.log(\"\\nWe do not have enough of this item in stock.\\n\");\n\t\t\t}\n\t\t\telse {\n\t\t\t\tvar totalCost = chosenItem.price * chosenQuant;\n\t\t\t\tvar newStockQuant = chosenItem.stock_quantity - chosenQuant;\n\t\t\t\t// console.log(newStockQuant);\n\t\t\t\t// console.log(chosenItem.stock_quantity);\n\t\t\t\t// console.log(chosenId);\n\t\t\t\tconsole.log(\"\\nThank you for your order. Your total is $\" + totalCost +\"\\n\");\n\t\t\t\t//function that updates inventory quantity\n\t\t\t\tconnection.query(\n\t\t\t\t\t\"UPDATE products SET ? WHERE ?\",\n\t\t\t\t\t[\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tstock_quantity: newStockQuant\n\t\t\t\t\t\t},\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\titem_id: chosenId\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\tfunction(err, res) {\n\t\t\t\t\t\tif (err) throw err;\n\t\t\t\t\t\t// console.log(\"Quantity updated\");\n\t\t\t\t\t}\n\t\t\t\t);\n\t\t\t};\n\t\t\t// quantityCheck();\n\t\t\tconnection.end();\n\t\t});\n\t});\n}","function addToInventory(){\n // viewProducts();\n\n inquirer\n .prompt([\n // Here we create a basic text prompt.\n {\n type: \"input\",\n message: \"What item (ID) would you like to update?\",\n name: \"id\", \n // validate: function validateID(name){\n \n // if(isNaN(name)===true){\n // console.log('\\nBe sure to specify the correct ID as a number!')\n // return false;\n // }\n // else if(name === \"\"){\n // console.log('\\nBe sure to specify the correct ID as a number!')\n // return false;\n // }\n // else {\n // return true;\n // }\n // }\n },\n {\n type: \"input\",\n message: \"How many would you like to order and add to the stock (whole number)?\",\n name: \"qty\", \n // validate: function validateID(name){\n \n // if(isNaN(name)===true){\n // console.log('\\nBe sure to specify the correct ID as a number!')\n // return false;\n // }\n // else if(name === \"\"){\n // console.log('\\nBe sure to specify the correct ID as a number!')\n // return false;\n // }\n // else {\n // return true;\n // }\n // }\n },\n\n ])\n .then(function(response) {\n getQty(response.id, response.qty); \n });\n}","function userPurchase() {\n inquirer.prompt([\n {\n name: \"itemId\",\n message: \"ENTER THE ID OF THE ITEM YOU WISH TO PURCHASE\",\n type: \"input\",\n validate: function (value) {\n if (isNaN(value) === true || value == 0) {\n return false;\n }\n return true;\n }\n },\n {\n name: \"units\",\n message: \"HOW MANY UNITS WOULD YOU LIKE TO PURCHASE? (TYPE Q TO QUIT)\",\n type: \"input\"\n }\n ]).then(function (answer) {\n // In case the user changed their mind, they can type 'q' and it'll take them back to the starting prompt.\n if (answer.units.toLowerCase() === \"q\") {\n askUser();\n }\n else {\n // Converting the users input into numbers so it can be compared to the table's numerical values.\n answer.itemId = parseInt(answer.itemId);\n answer.units = parseInt(answer.units);\n\n var query = \"SELECT * FROM products WHERE item_id=?\";\n connection.query(query, answer.itemId, function (err, results) {\n if (err) throw err;\n\n // If there isn't as much of the product in stock as the user wanted to order, display message to them.\n if (answer.units > results[0].stock_quantity) {\n console.log(\"\\nNOT ENOUGH OF '\" + results[0].product_name + \"' IN STOCK!\\n\");\n askUser();\n } else {\n // If there is enough of the product in stock, run the function that handles updating the table data.\n // Passing the relevant data as arguements.\n validQuantity(answer.itemId, answer.units, results[0]);\n }\n });\n }\n });\n}","function buyThis(){\n inqurier.prompt([\n {\n message: \"What is the ITEM ID of the PRODUCT you would like to buy?\",\n name: \"id\"\n },\n { \n message: \"How many UNITS would you like to buy?\",\n name: \"purchase\",\n },\n ]).then(function(answer){\n //convert to integers\n var id = parseInt(answer.id);\n var quantity = parseInt(answer.purchase)\n\n //purcahse logic\n\n if (isNaN(answer.id) == true || id <=0 || id > resultArray.length) {\n //error message for invalid number entry \n console.log(\"Error: INVALID ITEM ID\")\n }\n else if (isNan(answer.purcahse) == true || quantity <= 0){\n //error for purchasing zero items\n console.log(\"You must order more than one\")\n }\n else if (quantity > resultArray[id -1].stock_quantity){\n //error for not enough stock \n console.log(\"WE ARE OUT OF THAT\")\n }\n else {\n //for a sucessful order\n purchaes.push(resultArray[id - 1].product_name);\n amounts.push(quantity);\n\n //total of curent order and total order\n var orderCost = quantity * resultArray[id-1].price;\n orderCost = parseFloat(orderCost.toFixed(2));\n total += orderCost;\n total = parseFloat(total.toFixed(2))\n\n sales = resultArray[id - 1].product_sales + orderCost;\n\n console.log(\"You have selected ITEM\" + id + \",\" + resultArray[id - 1].product_name + \".\" )\n console.log(\"This item costs $\" + resultArray[id - 1].price + \" per unit. You have ordered \" + quantity + \" units.\");\n console.log(\"This purchase costs $\" + orderCost + \".\");\n \n //display quantites and ordered as well as cost\n console.log(\"YOU HAVE ORDERED\")\n for (var i = 0; i < purchaes.length; i++){\n console.log(amounts[i] + \"|\" + purchaes[i]);\n }\n console.log(\"mYour total cost is \" + total + \".\");\n\n\t\t\t// query to update the database\n\t\t\tupdate = \"UPDATE products SET stock_quantity = \" + (resultArray[id - 1].stock_quantity - quantity) + \", product_sales = \" + sales + \" WHERE item_id = \" + id;\n\n\t\t\t// updates the database\n\t\t\tconnection.query(update, function (error, results, fields) {\n\t\t\t\tif (error) {\n\t\t\t\t\tconsole.log(error);\n\t\t\t\t};\n });\n keepGoing();\n }\n })\n}","function go() {\n inquirer.prompt([\n {\n message: \"Enter the product id\",\n name: \"id_input\",\n type: \"input\",\n vaidate: validateNum\n },\n {\n message: \"How many units would you like to purchase\",\n name: \"amount_input\",\n type: \"input\",\n validate: validateNum\n }\n]).then(function(answers) {\n findID(answers);\n })\n}","function buyItem () {\n inquirer.prompt([\n {\n type:\"input\",\n name:\"itemSelected\",\n message:\"Please type an item id to purchase.\"\n },\n {\n type:\"input\",\n name:\"quantity\",\n message:\"How many would you like to purchase?\"\n }\n ]).then(function (results) {\n itemSelected = results.itemSelected;\n quantity = Number(results.quantity);\n \n if (itemSelected > 10) {\n console.log(\"Invalid item, please select a new item.\")\n buyItem();\n }\n \n checkItemStock();\n });\n}","function quantity(res){\n console.log(\" \");\n inquirer.prompt(\n {\n name: \"purchaseQty\",\n type: \"text\",\n message: \"How many would you like to purchase?\"\n }\n )\n .then(function(answer2) {\n if (answer2.purchaseQty == 0) {\n //User selected 0 products to purchase, so exit this question and go back up to the products selection\n products(res);\n }\n else if (answer2.purchaseQty < 1 || answer2.purchaseQty < '1' || answer2.purchaseQty > 999 || answer2.purchaseQty > '999') {\n //User made invalid selections, so display a message and ask for the quantity again\n console.log(\"\\nINVALID ENTRY!\".yellow)\n quantity(res);\n }\n else if (selectedStockQty == 0) {\n //The item selected is out of stock (out of stock items were already not displayed, but this is a safeguard)\n console.log(\"\\nSORRY, THAT ITEM IS CURRENTLY OUT OF STOCK!\".red);\n products(res);\n }\n else if (answer2.purchaseQty > selectedStockQty) {\n //User selected a quantity that is greater than what is in stock, so display qhat is in stock, and ask quantity again\n console.log(\"\\nSORRY, INSUFFICIENT QUANTITY! \".red + selectedStockQty + \" in stock. Please enter a lower amount:\");\n quantity(res);\n }\n else {\n //User entered valid quantity, proceed to complete the purchase\n var selectedPurchaseQty = answer2.purchaseQty;\n makePurchase(selectedStockQty, selectedPurchaseQty);\n };\n });\n }","function purchase(action = \"\") {\n if (action == \"init\") {\n }\n\n // Prompt the user to enter Product's item_id to review detail of the product:\n inquirer.prompt([\n {\n name: \"ID\",\n type: \"input\",\n message:\n \"Enter the product's item ID to review detail. [Quit with Ctrl+C]\",\n filter: Number,\n validate: function(val) {\n return !isNaN(val);\n }\n },\n {\n name: \"qty\",\n type: \"input\",\n message: \"OK, how many would you like to buy? \",\n filter: Number,\n validate: function(value) {\n if (isNaN(value) == false) {\n return true;\n } else {\n return false;\n }\n }\n }\n ]).then(function(userInput) {\n connection.query(\"SELECT * FROM products WHERE item_id = ?\", [userInput.ID], function(err, inventoryRes) {\n if (err) {\n console.log(\"ERROR: \", err);\n }\n console.log(\"\");\n console.log(\n \"====================\",\n \"\\nPRODUCT DETAIL: \",\n inventoryRes,\n \"\\n====================\"\n );\n console.log(\"\");\n purchaseItem(userInput.ID, userInput.qty);\n });\n });\n // *** This is the end of the function purchase() ***\n}","function promptItemQty() {\n inquirer.prompt([\n {\n name: \"quantity\",\n type: \"number\",\n message: \"Please enter the quantity you would like to order: \"\n }\n\n ])\n .then(function(answer3){\n if(answer3.quantity > 0){\n console.log(\"Your quantity is: \" + answer3.quantity + \".\\n\");\n itemOneQty = parseInt(answer3.quantity);\n console.log(\n \">>>Checking inventory...\\n\");\n inventoryCheck();\n }\n else {\n console.log(\"\\nYou didn't enter a quantity\\n\");\n retryItemQty();\n }\n });\n}","function promptUser() {\n\n\tinquirer.prompt([\n\t\t{\n\t\t\ttype: 'input',\n\t\t\tname: 'item_id',\n\t\t\tmessage: 'Please enter the Item ID of the item you wish to purchase',\n\t\t\tvalidate: validateInput,\n\t\t\tfilter: Number\n\t\t},\n\t\t{\n\t\t\ttype: 'input',\n\t\t\tname: 'quantity',\n\t\t\tmessage: 'Please enter quantity',\n\t\t\tvalidate: validateInput,\n\t\t\tfilter: Number\n }\n ])\n .then(function(input) {\n\n var item = input.item_id;\n\t\tvar quantity = input.quantity;\n\n var check_db = 'SELECT * FROM products WHERE ?';\n\n connection.query(check_db, {item_id: item}, function(err, data) {\n if (err) throw err;\n \n if (data.length === 0) {\n\t\t\t\tconsole.log('Invalid Item ID. Please select a valid Item ID.');\n\t\t\t\tproductList();\n\n\t\t\t} else {\n var productData = data[0];\n \n if (quantity <= productData.stock_quantity) {\n\n var update_db = 'UPDATE products SET stock_quantity = ' + (productData.stock_quantity - quantity) + ' WHERE item_id = ' + item;\n\n\n connection.query(update_db, function(err, data) {\n\t\t\t\t\t\tif (err) throw err;\n\n console.log('Your total is $' + productData.price * quantity);\n console.log('Thank you for shopping with us!');\n\t\t\t\t// End the database connection\n //connection.end();\n productList();\n\t\t\t\t\t})\n\t\t\t\t} else {\n console.log('Sorry, the quantity you requested is not in stock.')\n console.log('Please modify your search and try again')\n\t\t\t\t\tproductList();\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t})\n}","function userItemChoice(inventory){\n inquirer.prompt([\n {\n type: \"input\",\n name: \"choice\",\n message: \"Enter the ID of the item you would like to purchase [exit with q]\",\n\n // include a way to check if the input is a matching id number with an if/else statement, validate?\n\n validate: function(val) {\n return !isNaN(val) || val.toLowerCase() === \"q\";\n }\n }\n ]).then(function(val) {\n\n // save user quantity input to compare with the stock\n // turn string into a number\n\n quitShopping(val.choice);\n let chosenItemId = parseInt(val.choice);\n let itemName = checkInventory(chosenItemId, inventory);\n\n // prompt customer with desired quantity if there is a matching product ID in the database from other function\n // console log if not enough\n if (itemName) {\n userQuantityChoice(itemName);\n } else {\n console.log(\"Sorry, we do not have that item\");\n // send customer back to the product list\n displayProducts();\n }\n });\n}","function start() {\n inquirer.prompt([ \n {\n name: \"ID\",\n type: \"input\",\n message: \"What item would you like to by?\", \n filter:Number\n },\n {\n name:\"Quantity\",\n\t\ttype:\"input\",\n\t\tmessage:\"How many items do you wish to purchase?\",\n\t\tfilter:Number\n\t},\n\n ]).then(function(answers){\n \tvar quantityNeeded = answers.Quantity;\n \tvar IDrequested = answers.ID;\n \tpurchaseOrder(IDrequested, quantityNeeded);\n });\n}","function ask() {\n \n inquirer\n .prompt([\n {\n name: \"chooseItemID\",\n type: \"input\",\n message: \"What is the ID number of the product you would like to buy?\",\n },\n {\n name: \"chooseItemQuantity\",\n type: \"input\",\n message: \"How many would you like to buy?\",\n }\n ]).then(function (answer) {\n chosenQuantity = answer.chooseItemQuantity;\n chosenID = answer.chooseItemID;\n checkInventory();\n });\n \n}","function askCustomer(item) {\n inquirer.prompt([\n {\n type: \"input\",\n name: \"idpicked\",\n message:\n \"What is the ID of the product you want to buy? || if you changed your mind then exit by tyiping. 'Nevermind'\",\n validate: function (value) {\n if (value === \"Nevermind\") {\n var quitingresponse = \"leave my store\";\n } else {\n var customerwants = parseInt(value);\n }\n }.then(function (value) {\n console.log(\"you chose to buy\" + value);\n }),\n },\n ]);\n}","function userQuantityChoice(itemName) {\n inquirer.prompt([\n {\n type: \"input\",\n name: \"quantity\",\n message: \"How many would you like?\",\n validate: function(val){\n return val > 0 || val.toLowerCase() === \"q\";\n }\n }\n ]).then(function(val) {\n // turn strin into a number\n quitShopping(val.quantity);\n let quantity = parseInt(val.quantity);\n\n // loop through the database to check if there if enough inventory of the chosen item\n if (quantity > itemName.stock_quantity) {\n console.log(\"Sorry, we do not have enough of that item.\");\n displayProducts();\n } else {\n purchaseItem(itemName, quantity);\n }\n });\n}","function purchase () {\n // prompting the user what they want and what quantity\n\tinquirer.prompt([\n \t{\n \ttype: \"input\",\n \tname: \"item\",\n \tmessage: \"Which item do you want to purchase? (Please type item ID)\"\n \t}, {\n \tname: \"quantity\",\n \ttype: \"input\",\n \tmessage: \"How many would you like?\"\n // processing customer purchase\n \t}]).then(function(answers) {\n var item = answers.item;\n var quantity = answers.quantity;\n\n // connecting the the database to check for availability and update stock quantity\n connection.query(\"SELECT stock_quantity, price FROM products WHERE id=\" + item, function (err,res) {\n var stockQuantity = res[0].stock_quantity;\n var total = res[0].price * quantity;\n var newStock = stockQuantity - quantity;\n\n // if their quantity exceeds the inventory the order does not go through\n if (newStock < 0){\n console.log(\"Insufficient quantity! Try again.\");\n purchase();\n }\n // if the inventory is available, quantity in the database is updated\n // and the customer is given their total\n else {\n connection.query(\"UPDATE products SET stock_quantity=\" + newStock + \"WHERE item_id=\" + item, function (err,res) {\n });\n console.log(\"Success! Your total is $\" + total);\n }\n\n });\n\t});\n}","function select() {\n inquirer.prompt({\n name:\"itemToBuy\", \n type: \"input\",\n message: \"what is the ID number of the item you would like to buy\"\n }).then(function(answer){\n currentItemId = answer.itemToBuy;\n connection.query(\n \"SELECT * FROM products WHERE ?\", [{\n item_id: answer.itemToBuy\n }],\n function(error, results){\n if(error) throw error;\n var product = results[0].product_name;\n var price = results[0].price;\n currentQuantity = parseInt(results[0].stock_quantity);\n if(parseInt(results[0].stock_quantity) <= 0){\n console.log(\"Sorry. Out of stock.\");\n select();\n }\n confirm(product, price);\n }\n )\n \n //Validator function. Does not return anything other than undfined for now. \n /*if(validator(currentItemId)){\n } else {\n console.log(\"that item ID does not exist\");\n end();\n }*/\n\n });\n}","function purchaserQuery() {\n\tinquirer.prompt([\n\t{\n\t\ttype: \"input\",\n\t\tname: \"query\",\n\t\tmessage: \"Input the item ID you wish to purchase.\",\n\t\t//Prevents the app from accepting non-numerical inputs\n\t\tvalidate: function(res) {\n\t\t\tif (isNaN(res) === false) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tconsole.log(\"You need to enter a valid numerical ID.\");\n\t\t\treturn false;\n\t\t}\n\t},\n\t{\n\t\ttype: \"input\",\n\t\tname: \"quantity\",\n\t\tmessage: \"How many of this item will you purchase?\",\n\t\tvalidate: function(res) {\n\t\t\tif (isNaN(res) === false) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tconsole.log(\"You need to enter a valid numerical amount.\");\n\t\t\treturn false;\n\t\t}\n\t}\n\t]).then(function(info) {\n\tvar item = info.query;\n\tvar quantity = info.quantity;\n\t//This grabs information from the MySQL database to assign as useable variables\n\tconnection.query(\"SELECT * FROM products WHERE item_id = ? \", item, function(err, res) {\n\t\t\tif (err) throw err;\n\t\t\tvar department = res[0].department_name;\n\t\t\tvar stock = res[0].stock_quantity;\n\t\t\tif (stock >= quantity) {\n\t\t\t\tvar stockTotal = stock - quantity;\n\t\t\t\tvar price = res[0].price;\n\t\t\t\tvar cost = quantity * price;\n\t\t\t\t//Alters the information within the database to reflect customer selections\n\t\t\t\tconnection.query(\"UPDATE departments SET ? WHERE ?\", [{total_sales: cost}, {department_name: department}], function(err, res) {});\n\t\t\t\t//Represents the user's \"Shopping cart\"\n\t\t\t\trunningTotal = runningTotal + cost;\n\t\t\t\tconsole.log(\"Your total comes to $\" + runningTotal);\n\t\t\t\t//Changes the quantity available after user check-out\n\t\t\t\tconnection.query(\"UPDATE products SET ? WHERE ?\", [{stock_quantity: stockTotal}, {item_id: item}], function(err, res) {});\n\t\t\t\t//Option to disconnect from server and end application\n\t\t\t\tinquirer.prompt([\n\t\t\t\t\t{\n\t\t\t\t\t\ttype: \"confirm\",\n\t\t\t\t\t\tname: \"complete\",\n\t\t\t\t\t\tmessage: \"Have you finished shopping?\"\n\t\t\t\t\t}\n\t\t\t\t]).then(function(info){\n\t\t\t\t\tvar complete = info.complete;\n\n\t\t\t\t\tif (complete) {\n\t\t\t\t\t\tconsole.log(\"Thank you for shopping with the Bamazon Bookstore.\");\n\t\t\t\t\t\tconnection.end();\n\t\t\t\t\t} else {\n\t\t\t\t\t\trunProcess();\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t//If the item is out-of-stock, the user will be prompted back to start.\n\t\t\t} else {\n\t\t\t\tconsole.log(\"Insufficient quantity!\");\n\t\t\t\trunProcess();\n\t\t\t}\n\t\t});\n\t});\n}","function promptBuyer() {\n\n // Prompt buyer to select an item by id\n console.log(` \n ______ \n (____ \\ \n ____) ) ____ ____ ____ _____ ___ ____ \n | __ ( / _ | \\ / _ (___ ) _ \\| _ \\ \n | |__) | ( | | | | ( ( | |/ __/ |_| | | | |\n |______/ \\_||_|_|_|_|\\_||_(_____)___/|_| |_| \\n\n \\n-------------------------------------------------------------------\\n`);\n\n inquirer.prompt([\n {\n type: 'input',\n name: 'item_id',\n message: 'Please enter the ID of the Desired Item.',\n validate: validNumber,\n filter: Number\n },\n {\n type: 'input',\n name: 'quantity',\n message: 'How many such items do you require?',\n validate: validNumber,\n filter: Number\n }\n ]).then(function (input) {\n\n const item = input.item_id;\n const quantity = input.quantity;\n\n // Query db to confirm that the given item ID exists in the desired quantity\n let querySelect = 'SELECT * FROM products WHERE ?';\n\n connection.query(querySelect, { item_id: item }, function (err, data) {\n if (err) throw err;\n\n if (data.length === 0) {\n console.log('ERROR: Invalid Item ID. Please select a valid Item ID.');\n displayInventory();\n\n } else {\n const productData = data[0];\n\n // If the quantity requested by the user is in stock\n if (quantity <= productData.stock_quantity) {\n console.log('Success, the product is available in this quantity! << Order Confirmed! >>');\n\n // Construct the updating query string\n const updatequerySelect = 'UPDATE products SET stock_quantity = ' + (productData.stock_quantity - quantity) + ' WHERE item_id = ' + item;\n\n // Update the inventory\n connection.query(updatequerySelect, function (err, data) {\n if (err) throw err;\n\n console.log('\\n---------------------------------------------------------------------\\n'\n + 'Order Placed! Your total is $' + productData.price * quantity\n + '\\n---------------------------------------------------------------------\\n'\n + '\\n Thank you for choosing Bamazon! \\n');\n // End the db connection\n connection.end();\n })\n } else {\n console.log('\\n---------------------------------------------------------------------\\n'\n + 'Sorry, there is not enough product in stock, your order can not be placed as is. \\n Please modify your order.'\n + '\\n---------------------------------------------------------------------\\n');\n //display inventory again\n displayInventory();\n }\n }\n })\n })\n}","function shoppingCart(res) {\n inquirer\n .prompt([\n {\n name: \"id\",\n type: \"input\",\n message: \"\\nUse Item Id to Select Product.\"\n },\n {\n name: \"quantity\",\n type: \"input\",\n message: \"\\nPlease enter number of units to purchase.\\n\"\n }\n ])\n .then(function(data) {\n id = data.id;\n quantity = data.quantity;\n stockQuantity(data.id, data.quantity);\n });\n}","function userInput(){\n\tinquirer.prompt([\n\t{\n\t\tname: \"id\",\n\t\ttype: \"list\",\n\t\tmessage: \"What product would you like to buy?\",\n\t\tchoices: choicesArray\n\t},\n\t{\n\t\tname: \"quantity\",\n\t\ttype: \"input\",\n\t\tmessage: \"How many would you like to purchase?\"\n\t}\n\t]).then(function(answer){\n\t\t//splitting our id from product name\n\t\tvar splitId = answer.id.split(\":\");\n\t\t//storing only the id in a variable\n\t\tvar getId = splitId[0];\n\t\t//storing how much the user would like to purchase\n\t\tvar userQuantity = answer.quantity;\n\t\t//querying the database to get item id, quantity, and price\n\t\tconnection.query(\"SELECT item_id, stock_quantity, price FROM products\", function(error, results){\n\t\t\tif(error){\n\t\t\t\tconsole.log(error);\n\t\t\t}else{\n\t\t\t\t//looping through our products table\n\t\t\t\tfor(var i = 0; i < results.length; i++){\n\t\t\t\t\t//if the product choosen's id matches an id in our databse and its quantity is less than the quantity in our database, user may purchase the item(s)\n\t\t\t\t\tif(getId == results[i].item_id && userQuantity < results[i].stock_quantity){\n\t\t\t\t\t\t//storing database product quantity\n\t\t\t\t\t\tvar productQuantity = results[i].stock_quantity;\n\t\t\t\t\t\t//storing database product price\n\t\t\t\t\t\tvar productPrice = results[i].price;\n\t\t\t\t\t\t//multiplying how many products the user wants to the price of each item\n\t\t\t\t\t\tvar userPrice = userQuantity * productPrice;\n\t\t\t\t\t\t//updating our quantity by subtracting how much our user chooses and how much is in our database\n\t\t\t\t\t\tvar newQuantity = productQuantity - userQuantity;\n\t\t\t\t\t\t//calling our transaction function and passing it updated product quantity, price, and product id\n\t\t\t\t\t\ttransaction(newQuantity, userPrice, getId);\n\t\t\t\t\t};\n\t\t\t\t\t//if the user chooses a quantity higher than what is in our database, we will let them know\n\t\t\t\t\tif(getId == results[i].item_id && userQuantity > results[i].stock_quantity){\n\t\t\t\t\t\tconsole.log(\"We don't have enough in stock.\" + \"\\nPlease lower quantity.\");\n\t\t\t\t\t};\n\t\t\t\t};\n\t\t\t};\n\t\t});\n\t});\n}","function Buy_Prompt() {\n inquirer.prompt([\n // Here we create an input text prompt for getting the ITEM ID.\n {\n type: \"input\",\n message: \"Please enter the ID of the product you would like to buy.\",\n name: \"ITEM_ID\",\n filter: Number\n },\n // Here we create an input text prompt for getting the quantity the user wants to buy.\n {\n type: \"input\",\n message: \"How many items would you like to buy?\",\n name: \"BUY_QUANTITY\",\n filter: Number\n },\n ]).then(function (inquirerResponse) {\n var buyQuantity = inquirerResponse.BUY_QUANTITY;\n var item = inquirerResponse.ITEM_ID;\n customerOrder(item, buyQuantity);\n });\n}","function queryCustomer()\n{\n inquirer.prompt([\n {\n name: \"item\",\n type: \"input\",\n message: \"What is the item ID you would like to purchase?\",\n validate: function(value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n },\n {\n name: \"quantity\",\n type: \"input\",\n message: \"How many units would you like to purchase?\",\n validate: function(value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n }]).then(function(answer) {\n processOrder(answer.item, answer.quantity);\n });\n}","function select() {\n inquirer\n .prompt([\n // Here we create a basic text prompt.\n {\n // ask for product id\n type: \"input\",\n message: \"What ID # would you like to purchase?\",\n name: \"select\",\n },\n\n {\n // ask for quanitity\n type: \"input\",\n message: \"How many would you like to purchase?\",\n name: \"amount\"\n },\n\n ])\n // confirm their purchase\n .then(function(input) {\n var userInput = input.select;\n var userQuantity = input.amount;\n // check for id number to be between 1 and 10\n if (input.select >= 1 && input.select <= 20) {\n console.log(\"You have selected \" + userQuantity + \" of item id \" + userInput + \".\");\n \n connection.query(\"SELECT * FROM products\", function(err, res) {\n // var to subtract user quanitity from database\n var subtract = ((res[userInput - 1].quantity)-userQuantity)\n if (err) throw err;\n // Log all results of the SELECT statement\n if (userQuantity <= res[userInput - 1].quantity){\n console.log(\"Thank you for your purchase! Your total is $\" + userQuantity * (res[userInput - 1].price) + \".\");\n var query = connection.query(\n // update quantity by id\n \"UPDATE products SET ? WHERE ?\",\n [\n {\n quantity: subtract\n },\n {\n id: userInput\n }\n ],\n function(err, res) {\n // end of update function message\n console.log(\" Have A Great Day!\\n\");\n connection.end();\n }\n );\n }\n else {\n // messeage if quantity is not available, reset to select function\n console.log(\"Sorry, we only have \" + res[userInput - 1].quantity + \" of this item.\")\n select();\n }\n });\n }\n else {\n // message if id is not an DataTransferItem, reset to select function\n console.log(\"Please pick an item number in the inventory.\");\n select();\n }\n })\n .catch(function(err){\n console.log(err);\n });\n \n}","function productSelection(){\n inquirer.prompt([\n {\n name: \"id\",\n message: \"What product do you want? Provide the Item id:\"\n },\n {\n name: \"quantity\",\n message: \"How Many Do you Want?\"\n },\n {\n type: \"confirm\",\n name: \"confirm\",\n message: \"Are you sure?\",\n default: true\n }\n ]).then(answers=>{\n // console.log(\"Item ID:\", answers.id);\n // console.log(\"Quantity:\", answers.quantity);\n if(answers.confirm){\n inventoryUpdate(answers.id, answers.quantity);\n }\n else{\n displayProducts();\n }\n });\n}","function addNewProduct() {\n console.log(\"\\nFantastic, let's add a new product! To get started let's answer a few questions:\\n\")\n inquirer\n .prompt([\n // Here we create a basic text prompt.\n {\n type: \"input\",\n message: \"What is the product name?\",\n name: \"prodName\", \n // validate: function validateID(name){\n \n // if(isNaN(name)===true){\n // console.log('\\nBe sure to specify the correct ID as a number!')\n // return false;\n // }\n // else if(name === \"\"){\n // console.log('\\nBe sure to specify the correct ID as a number!')\n // return false;\n // }\n // else {\n // return true;\n // }\n // }\n },\n {\n type: \"input\",\n message: \"What is the department Name it falls under?\",\n name: \"deptName\", \n // validate: function validateID(name){\n \n // if(isNaN(name)===true){\n // console.log('\\nBe sure to specify the correct ID as a number!')\n // return true;\n // }\n // else if(name === \"\"){\n // console.log('\\nBe sure to specify a text based department name!')\n // return false;\n // }\n // else {\n // return true;\n // }\n // }\n },\n {\n type: \"input\",\n message: \"What is the price of the item?\",\n name: \"price\", \n validate: function validateID(name){\n \n if(isNaN(name)===true){\n console.log('\\nBe sure to specify the correct ID as a number!')\n return false;\n }\n else if(name === \"\"){\n console.log('\\nBe sure to specify the correct ID as a number!')\n return false;\n }\n else {\n return true;\n }\n }\n },\n {\n type: \"input\",\n message: \"How many are in stock?\",\n name: \"stockQTY\", \n validate: function validateID(name){\n \n if(isNaN(name)===true){\n console.log('\\nBe sure to specify the correct ID as a number!')\n return false;\n }\n else if(name === \"\"){\n console.log('\\nBe sure to specify the correct ID as a number!')\n return false;\n }\n else {\n return true;\n }\n }\n },\n\n ])\n .then(function(response) {\n var buildProd = response.prodName; \n var buildDept = response.deptName;\n var buildPrice = response.price; \n var buildStock = response.stockQTY; \n \n var query = connection.query(\"INSERT INTO products (Product_Name, Dept_Name, Price, Stock_Qty) VALUES (?, ?, ?, ?);\",[buildProd, buildDept, buildPrice, buildStock],function(err, res) {\n if (err) throw err;\n console.log(\"\\nCongrats on adding a new product! Here is your product with the rest!\")\n viewProducts();\n \n\n });\n});\n\n}","function displayPurchase(stock) {\n inquirer\n .prompt([\n {\n name: \"id\",\n type: \"input\",\n message: \"What is the ID of the product you would like to buy?\",\n\n },\n {\n name: \"units\",\n type: \"input\",\n message: \"How many units of the product you would like to buy?\",\n validate: function (value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n }\n ])\n .then(function (answer) {\n let choice = stock.find(item => item.item_id === parseInt(answer.id))\n // Subtract thhe amount that I want from the amount that I have\n let new_quant = choice.stock_quantity - answer.units\n // If I have enough to give, give it and update\n if (new_quant >= 0) {\n // Amount chosen times unit price\n let total = choice.price * answer.units\n console.log(\"You spend : $\" + parseFloat(total, 2));\n // when finished prompting, insert a new item into the db with that info\n connection.query(\n `UPDATE bamazon.products SET stock_quantity = ${new_quant} WHERE item_id =${answer.id}`,\n function (err) {\n if (err) throw err;\n console.log(\"Your purchase was created successfully!\");\n // re-prompt the user for if they want to bid or post\n start();\n }\n );\n } else {\n console.log(\"Insuficient amount!\")\n start();\n }\n });\n\n}","function prompt() {\n inquirer.prompt([\n {\n type: \"input\",\n message: \"What is the ID of the item you'd like to order?\",\n name: \"userPick\",\n filter: Number\n },\n {\n type: \"input\",\n message: \"How many do you want?\",\n name: \"amount\",\n filter: Number\n }\n \n ]).then(function (result) {\n //console.log(result.userPick);\n //console.log(result.amount);\n productID = result.userPick;\n\n\n //grabbing the number that users put for id and quantity and using it for the next function \n var query = \"SELECT * FROM products WHERE item_id = ?\";\n connection.query(query, [productID], function (err, res) {\n if (err) throw err;\n\n quantityFinal = res[0].stock_quantity - result.amount;\n\n if (quantityFinal < 0 || result.amount > res[0].stock_quantity) {\n console.log(\"Sorry, we can't do that! Talk to our manager!\");\n prompt();\n } else {\n console.log(\"You ordered \" + result.amount + \" \" + (chalk.blue(res[0].product_name)) + \".\\n Thank you, that wil be $\" + (chalk.black.bgGreen(result.amount * res[0].price)) + \".\"\n );\n updateProduct(quantityFinal, productID);\n }\n\n })\n })\n}","function buyProduct(amount, product_id, price) {\n inquirer\n .prompt([\n {\n type: \"input\",\n message: \"How Many?\",\n name: \"amount\",\n validate: value => {\n let valid = !isNaN(parseFloat(value));\n return valid || \"Please Enter Item ID #\";\n }\n }\n ])\n .then(res => {\n if (amount > res.amount) {\n console.log(\"SUCCESS\");\n totalPrice(res.amount, price);\n updateStock(res.amount, product_id, amount);\n } else {\n console.log(\"Out of stock!\");\n buyProduct(amount, product_id, price);\n }\n });\n}","function pickItemId() {\n inq.prompt([{\n type: 'input',\n name: 'whatId',\n message: '\\nPlease enter the ID of the item you would like to purchase'\n }]).then(function(inqRes) {\n connection.query(\"SELECT * FROM products WHERE item_id =\" +\n \"'\" + inqRes.whatId + \"'\",\n function(err, res) {\n // If there's an error log it\n if (err) {\n console.log(err);\n } else\n // If The response is not an empty array\n if (res.length > 0) {\n console.log(\"You have selected: \" +\n res[0].product_name + ' $' + res[0].price + '.00 ' +\n \"each \" + res[0].stock_quantity + \" left\");\n itemChosen = inqRes.whatId;\n itemQuantity = res[0].stock_quantity;\n itemPrice = res[0].price;\n chooseQuantity();\n }\n // If the response is an empty array i.e. not a valid ID\n else {\n console.log(\"Sorry, this is not a valid ID please try again\");\n pickItemId();\n }\n });\n });\n}","function whatToBuy(){\n\tinquirer.prompt([\n\t\t\t{\n\t\t\t\tname:\"item\",\n\t\t\t\ttype:\"list\",\n\t\t\t\tmessage: \"Select the name of the item you would like to purchase:\", \n\t\t\t\tchoices: [\n\t\t\t\t\"purple wig\",\n\t\t\t\t\"round glasses\",\n\t\t\t\t\"red blazer\",\n\t\t\t\t\"black biker shorts\",\n\t\t\t\t\"red gown\",\n\t\t\t\t\"silver ring\", \n\t\t\t\t\"princess puppet\",\n\t\t\t\t\"pink wig\",\n\t\t\t\t\"stuffed cow\",\n\t\t\t\t\"sports car\"\n\t\t\n\t\t\t]},\n\t\t\t{\n\t\t\t\tname:\"itemNum\",\n\t\t\t\ttype:\"input\",\n\t\t\t\tmessage: \"What is your item's ID?\",\n\t\t\t\tvalidate: function(value){\n\t\t\t\t\tif(isNaN(value) === false){\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t},\n\n\t\t\t{\n\t\t\t\tname:\"amount\",\n\t\t\t\ttype:\"input\",\n\t\t\t\tmessage: \"How many would you like to buy?\",\n\t\t\t\tvalidate: function(value){\n\t\t\t\t\tif(isNaN(value) === false){\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}\n\t\t\t// ,\n\t\t\t// // { //optional confirm feature \n\t\t\t// \ttype: \"confirm\",\n\t\t\t// \tmessage: \"Is that your final amount?\",\n\t\t\t// \tname:\"confirm\",\n\t\t\t// \tdefault: true\n\t\t\t// }\n\t\t])\n\t\t.then(function(response){\n\t\t\t//double check to see what the response confirms about the order \n\t\t\t// console.log(response);\n\t\t\t// //name\n\t\t\t// console.log(response.item);\n\t\t\t// //item's id\n\t\t\t// console.log(response.itemNum);\n\t\t\t// //amount ordered\n\t\t\t// console.log(response.amount);\n\t\t\t\n\t\t\t//query to be sure the database has the item in stock \n\t\t\tconnection.query(\"SELECT stock_quantity FROM products WHERE item_id=\" + response.itemNum, function (error, data){\n\t\t\t\t//returns the stock_quantity of the item_id from above as data\n\t\t\t\t// console.log(data);\n\t\t\t\t// console.log(response.amount);\n\t\t\t\t// console.log(data[0].stock_quantity);\n\t\t\t\tif (error) throw error;\n\t\t\t\t//if not an error, then see if the data from the query is greater than the response.amount\n\t\t\t\t\tif(data[0].stock_quantity >= response.amount){\n\t\t\t\t\t\tconsole.log(\"You are in luck; enjoy your item!\");\n\t\t\t\t\t\t//update the amount of product left in the stock_quantity column\n\t\t\t\t\t\t//query to update the database to make sure the amount of stock_quantity goes down by the response.amount\n\t\t\t\t\t\tconnection.query(\"UPDATE products SET stock_quantity = stock_quantity -\" + response.amount +\" WHERE item_id=\" + response.itemNum, function(error, data){\n\t\t\t\t\t\t\tif(error) throw error;\n\t\t\t\t\t\t\t//show the price to the customer for that item data here is an ok packet with affectedRows and messaage\n\t\t\t\t\t\t\t// console.log(data);\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t//open another query to reveal the price for the item-- have to multiply by the response.amount to get total price\n\t\t\t\t\t\t\tconnection.query(\"SELECT price FROM products WHERE item_id=\" + response.itemNum, function(error, data){\n\t\t\t\t\t\t\t\t// console.log(JSON.stringify(data));\n\t\t\t\t\t\t\t\t//console.log(JSON.parse(data));\n\t\t\t\t\t\t\t\tif(error) throw error;\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t//data come from the rowdatapacket array/objects to give me the price for that response.itemNum \n\t\t\t\t\t\t\t\t\tnewPrice = data[0].price;\n\t\t\t\t\t\t\t\t\ttotalPrice = response.amount * newPrice;\n\t\t\t\t\t\t\t\t\tconsole.log(\"You ordered: \" + response.amount);\n\t\t\t\t\t\t\t\t\tconsole.log(\"Your total is: $\" + totalPrice);\n\t\t\t\t\t\t\t\tconsole.log(\"Thank you for using Bamazon! Make your next purchase below!\");\n\t\t\t\t\t\t\t\twhatToBuy();\n\t\t\t\t\t\t\t\t})\n\t\t\t\t\t\t\t})\n\t\t\t\t\t}\t\n\t\t\t\t\telse\n\t\t\t\t\t{\n\t\t\t\t\t\tconsole.log(\"There was not enough stock; please try your purchase again with another item.\");\n\t\t\t\t\t\twhatToBuy();\n\t\t\t\t\t}\n\n\t\t\t\t})\n\t\t\t\n\t\t});\n}","function chooseQuantity() {\n inq.prompt([{\n type: 'input',\n name: 'quantity',\n message: '\\nPlease enter the number of units to add',\n }]).then(function(inqRes) {\n // This value is for later use\n quantityToAdd = parseInt(inqRes.quantity);\n // This value is for updating the database with remaining quantity\n updatedQuantity = quantityToAdd + itemQuantity;\n // This calculates the total cost\n connection.query(\"SELECT * FROM products WHERE item_id=\" +\n \"'\" + itemChosen + \"'\",\n function(err, res) {\n if (err) {\n console.log(err);\n } else {\n connection.query(\"UPDATE products SET stock_quantity =\" + \"'\" +\n updatedQuantity + \"'\" + \"WHERE item_id =\" + \"'\" + itemChosen +\n \"'\");\n console.log(\"Add Inventory Successful!\");\n isActionDone = true;\n printTable();\n }\n });\n });\n }","function promptCustomerForQuantity(product) {\n\tinquirer\n\t .prompt([\n\t\t{\n\t\t type: \"input\",\n\t\t name: \"quantity\",\n\t\t message: \"How many would you like? [Quit with Q]\",\n\t\t validate: function(val) {\n\t\t\treturn val > 0 || val.toLowerCase() === \"q\";\n\t\t }\n\t\t}\n\t ])\n\t .then(function(val) {\n\t\t// Check if the user wants to quit the program\n\t\tcheckIfShouldExit(val.quantity);\n\t\tvar quantity = parseInt(val.quantity);\n \n\t\t// If there isn't enough of the chosen product and quantity, let the user know and re-run loadProducts\n\t\tif (quantity > product.stock_quantity) {\n\t\t console.log(\"\\nInsufficient quantity!\");\n\t\t displayProducts();\n\t\t}\n\t\telse {\n\t\t // Otherwise run makePurchase, give it the product information and desired quantity to purchase\n\t\t makePurchase(product, quantity);\n\t\t}\n\t });\n }","function customerPrompt(res) {\n\tinquirer.prompt([{\n\t\ttype: \"input\",\n\t\tname: \"selection\",\n\t\tmessage: \"What is the id of the product you wnat to buy?\"\n\t},\n\t{\n\t\ttype: \"input\",\n\t\tname: \"quantity\",\n\t\tmessage: \"How many do you want to buy?\"\n\t}]).then(function order) {\n\t\tvar quantity = order.quantity;\n\t\tvar itemId = order.id;\n\t\tdbConnection.query(\"SELECT * FROM products where id=\" itemID, function(err, selectedItem) {\n\t\t\tif (err) throw err;\n\t\t\t if (selectedItem[0])\n\t\t};\n\t}\n}","function promptQuantity() {\n inquirer\n .prompt({\n name: \"quantity\",\n type: \"input\",\n message: \"How many would you like\",\n \n // validates that the answer is a number\n validate: function (value) {\n quantPass = value; \n if (quantPass > 0) {\n \n return true;\n }\n else {\n return \"This is not a number. Try again\";\n }\n }\n \n }).then(function (answer) {\n \n // quantPass is a string, so it's then turned into an int\n quantPass = parseInt(quantPass);\n \n // This selects all the rows from the table (\"products\") that has the id of the answerID\n connection.query(\"SELECT * FROM products WHERE item_id = \" + answerId,\n function (err, results) {\n \n /* The results are therefor the row that corresponds to that id,\n and we assign a variable to the stock_quantity value it contains*/\n var quantInStock = results[0].stock_quantity\n \n if (err) {\n throw err;\n }\n /* ----If there are no errors and quantPass (amount requested) is \n less than or equal to the following happens-----*/\n \n // Checks to make sure there is enough in stock\n else if (!err && quantPass <= quantInStock) {\n \n // -----------Get total cost------------\n // Gets price of product and puts into a variable\n let price = results[0].price\n \n // Gets quantity chosen and multiplies by cost for total cost\n let totalCost = quantPass * price;\n \n // Display the order confirmation an total cost);\n console.log(\"You want \" + chalk.bold.yellow(quantPass) + \" of item \" + chalk.bold.yellow(answerId));\n console.log(chalk.bold.green(\"Your order has been placed.\"));\n console.log(chalk.bold.green(\"Your total cost is: \" + \"$\" + totalCost));\n console.log(\"--------------------------------------\");\n \n // updateTable is fired\n updateTable(answerId)\n \n\n }\n /* If there isn't enough in stock, then notification is given and \n promptQuantity is refired*/\n else if (!err && quantPass > quantInStock) {\n console.log(chalk.bold.red(\"Not enough in stock. Choose a lower number.\"));\n console.log(\"--------------------------------------\");\n promptQuantity()\n };\n\n \n });\n\n\n });\n\n}","function promptManagerForQuantity(product) {\n inquirer\n .prompt([\n {\n type: \"input\",\n name: \"quantity\",\n message: \"How many would you like to add?\",\n validate: function(val) {\n return val > 0;\n }\n }\n ])\n .then(function(val) {\n var quantity = parseInt(val.quantity);\n addQuantity(product, quantity);\n });\n}","function selectProduct() {\n inquirer.prompt([\n {\n name: \"enterID\",\n message: \"Please enter the ID of the item you'd like to purchase.\",\n type: \"input\",\n validate: function(value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n },\n {\n name: \"quantity\",\n message: \"How many would you like to purchase?\",\n type: \"input\",\n validate: function(value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n }\n ]).then(function(inquirerResponse) {\n connection.query(\n \"Select stock_quantity, price, product_name FROM products WHERE ?\",\n [\n { \n item_id: inquirerResponse.enterID\n },\n ], \n function(err, res) {\n if (err) throw err;\n\n let enteredID = inquirerResponse.enterID;\n let enteredQuantity = inquirerResponse.quantity;\n\n let stock = res[0].stock_quantity;\n let price = res[0].price;\n let product = res[0].product_name;\n\n if (stock >= inquirerResponse.quantity) {\n buyProduct(stock, price, product, enteredID, enteredQuantity);\n }\n else {\n console.log(\"------\")\n console.log(\"Sorry, there aren't enough of those in stock.\")\n orderAgain();\n }\n }\n\n )\n })\n}","function userChoice(){\n inquirer\n .prompt([\n { \n type: \"input\",\n message: \"Enter the product number of the item you want: \",\n name: \"product\"\n },\n { \n type: \"input\",\n message: \"Enter the quantity you would like to purchase: \",\n name: \"quantity\"\n }\n ])\n .then(function(inqRes){\n // console.log(\"PN: \" + inqRes.product + \"\\nQT: \" + inqRes.quantity);\n checkInventory(inqRes.product, inqRes.quantity);\n });\n}","function chooseQuantity() {\n inq.prompt([{\n type: 'input',\n name: 'quantity',\n message: '\\nPlease enter the quantity you would like to purchase',\n }]).then(function(inqRes) {\n // This value is for later use\n quantityRequested = inqRes.quantity;\n // This value is for updating the database with remaining quantity\n updatedQuantity = itemQuantity - quantityRequested;\n // This calculates the total cost\n totalCost = inqRes.quantity * itemPrice;\n connection.query(\"SELECT * FROM products WHERE item_id=\" +\n \"'\" + itemChosen + \"'\",\n function(err, res) {\n if (err) {\n console.log(err);\n } else if (quantityRequested <= itemQuantity) {\n connection.query(\"UPDATE products SET stock_quantity =\" + \"'\" +\n updatedQuantity + \"'\" + \"WHERE item_id =\" + \"'\" + itemChosen +\n \"'\");\n console.log(\"Purchase Successful! \" + \"Total Cost of Purchase: \" +\n \"$\" + totalCost);\n isPurchaseMade = true;\n printTable();\n } else if(quantityRequested > itemQuantity) {\n console.log(\"Sorry, We don't have that much in stock right now\");\n pickItemId();\n }\n });\n });\n}","function addToInventory() {\n inquirer.prompt([\n {\n type: \"input\",\n name: \"id\",\n message: \"Input ID of item to restock:\",\n validate: function (input) {\n if (Number.isInteger(parseFloat(input)) && 1 <= input && input <= numProducts) {\n return true;\n }\n\n console.log(\" Invalid ID\");\n }\n },\n {\n type: \"input\",\n name: \"numExtraItems\",\n message: \"Input number of additional items to purchase:\",\n validate: function (input) {\n if (Number.isInteger(parseFloat(input)) && input >= 0) {\n return true;\n }\n\n console.log(\" Invalid quantity\");\n }\n }\n ]).then(function (answers) {\n //console.log(answers);\n var query = \"UPDATE products SET stock_quantity=? WHERE item_id=?\";\n var id = answers.id;\n var numExtraItems = parseInt(answers.numExtraItems);\n\n restock(id, numExtraItems);\n });\n}","function start() {\n inquirer\n .prompt([\n {\n name: \"id\",\n type: \"input\",\n message: \"What is the Product ID of the item you would like to purchase?\",\n validate: function (value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n },\n \n {\n name: \"quantity\",\n type: \"input\",\n message: \"How many of the listed product would you like to buy?\",\n validate: function (value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n }\n ])\n\n //This Notes the ID chosen and the Qualtity Chosen and Displays to User\n .then(function (input) {\n \n var item = input.id;\n var quantity = input.quantity;\n \n console.log('You Have Chosen: \\n id = ' + input.id + '\\n Quantity = ' + input.quantity);\n \n \n // Checks if there is enough product in the System\n var queryStr = 'SELECT * FROM products WHERE ?';\n \n connection.query(queryStr, { id: item }, function (err, data) {\n if (err) throw err;\n \n // If a Invalid ID is selected, an error message occurs and the connection is ended. \n \n if (data.length === 0) {\n console.log('ERROR: Please select a valid Item ID.');\n displayInventory();\n connection.end();\n } else {\n var productData = data[0];\n \n \n // Message Displayed with a Valid Order\n if (quantity <= productData.stock_quantity) {\n console.log('The product you requested is in stock! Placing order!');\n\n var updateQueryStr = 'UPDATE products SET stock_quantity = ' + (productData.stock_quantity - quantity) + ' WHERE id = ' + item;\n \n // Update Inventory then End Connection. Else Log that there is not enough product and modify connection \n connection.query(updateQueryStr, function (err, data) {\n if (err) throw err;\n \n console.log('Your order has been placed! Your total is $' + productData.price * quantity);\n console.log('Thank you for shopping with StoreApp!');\n console.log(\"\\n---------------------------------------------------------------------\\n\");\n connection.end();\n })\n } else {\n console.log('Sorry, there is not enough product in stock, your order cannot be placed');\n console.log('Please modify your order amount to a smaller number.');\n console.log(\"\\n---------------------------------------------------------------------\\n\");\n \n connection.end();\n }\n }\n })\n })\n }","function promptUser(){\n inquirer\n .prompt([\n {\n type: \"input\",\n name: \"inputId\",\n message: \"Please input the product ID of the item you would like to purchase?\",\n validate: function(value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n },\n {\n type: \"input\",\n name: \"unitAmount\",\n message: \"Please enter the amount of units you would like to buy:\",\n validate: function(value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n }\n }\n ]).then(function(purchase){\n connection.query(\"SELECT * FROM products\", function(error, results) {\n if (error) throw error;\n let purchaseQuantity = purchase.unitAmount;\n let productQuantity;\n let productPrice;\n let productName;\n let productSales;\n let productId;\n let totalPurchased;\n for (let i = 0; i < results.length; i++) {\n if (parseInt(purchase.inputId) === results[i].item_id) {\n productQuantity = results[i].stock_quantity;\n productPrice = results[i].price;\n productName = results[i].product_name;\n productSales = results[i].product_sales;\n productId = results[i].item_id;\n totalPurchased = results[i].price * purchaseQuantity;\n }\n }\n if (purchaseQuantity <= productQuantity){\n console.log(\"========================= SHOPPING CART ========================\");\n console.log(\"| Product ID: \" + productId + \" | Product Name: \" + productName + \" | Quantity: \" + purchaseQuantity + \" | \");\n console.log(\"================================================================\");\n connection.query(\"UPDATE products SET ? WHERE ?\",\n [\n {\n stock_quantity: productQuantity - purchaseQuantity,\n product_sales: productPrice * purchaseQuantity\n },\n {\n item_id: purchase.inputId\n }\n ],\n function(error) {\n if (error) throw error;\n console.log(\"Thank you for purchasing from Bamazon!\");\n console.log(\"The total amount of your purchase: $\" + totalPurchased);\n console.log(\"================================================================\");\n connection.end();\n }\n );\n } else {\n console.log(\"There aren't enough\" + productName + \" in stock, please check the amount in stock!\");\n printData();\n // connection.end();\n }\n});\n});\n\n}","function addNewProductPrompt() {\n\n // ask user for information about new item to be inserted into database\n return inquirer.prompt([{\n name: \"product_name\",\n message: \"Product name:\",\n type: \"input\",\n validate: function (inputValue) {\n if (inputValue !== \"\") {\n return true;\n } else {\n return \"Please provide a product name\";\n }\n }\n },\n {\n name: \"department_name\",\n message: \"Department name:\",\n type: \"input\",\n validate: function (inputValue) {\n if (inputValue !== \"\") {\n return true;\n } else {\n return \"Please provide a department name\";\n }\n }\n },\n {\n name: \"price\",\n message: \"Price:\",\n type: \"input\",\n validate: function (inputValue) {\n if (!isNaN(inputValue) && inputValue >= 0) {\n return true;\n } else {\n return \"Please provide a valid price\";\n }\n }\n },\n {\n name: \"stock_quantity\",\n message: \"Stock Quantity:\",\n type: \"input\",\n validate: function (inputValue) {\n if (!isNaN(inputValue) && inputValue >= 0) {\n return true;\n } else {\n return \"Please provide a valid quantity\";\n }\n }\n }\n ]);\n\n}","function quantityPrompt(res) {\n\t inquirer\n \t\t.prompt([\n \t\t\t{\n\t\t\t\ttype: \"input\",\n\t\t\t\tmessage: \"How many would you like to purchase?\",\n\t\t\t\tname: \"quantity\"\n\t\t }\n\t\t])\n\t\t.then(function(inqRes) {\n\t\t\tconsole.log(inqRes.quantity);\n\n\t\t\tvar inqQuan = parseInt(inqRes.quantity);\n\t\t\tif (inqQuan <= res[0].stock_quantity) {\n\n\t\t\t\tvar total = (inqQuan*res[0].price).toFixed(2);\n\t\t\t\tconsole.log(\"Your total is: $\" + total);\n\t\t\t\t\n\t\t\t\tconfirmPrompt(res, inqQuan);\n\n\n\t\t\t}\n\n\t\t\telse {\n\t\t\t\tconsole.log(\"Insufficient quantity!\");\n\t\t\t\tquantityPrompt(res);\n\n\t\t\t}\n\n\t\t});//ends then\n \n}// ends quantityPrompt","function productid(res){\n inquirer.prompt({\n \n type : \"input\",\n name : \"items\",\n message : \"what product would you like to buy ? input the id\"\n \n\n }).then(function(answer){\n //loop through the table depending on user input and get the row \n for(var k = 0; k < res.length; k++){\n \n if(answer.items == res[k].item_id){\n var itemid =res[k].item_id;\n \n stockquantity=res[k].stock_quantity;\n price=res[k].price;\n console.log(\"stock quantity : \"+ res[k].stock_quantity);\n console.log(\"id : \"+res[k].item_id);\n units(stockquantity,itemid,price);\n \n }\n \n }\n \n });\n }","function welcomePurchase(){\n inquirer.prompt([{\n name: \"item\",\n type: \"input\",\n message: \"What item would you like to purchase? Enter the Item ID to continue\",\n validate: function(input){\n if(isNaN(input) === false){\n return true;\n } else {\n console.log(\"Invalid Item ID. Please try again.\")\n return false;\n }\n }\n },\n {\n name: \"amount\",\n type: \"input\",\n message: \"How many would do you wish to purchase?\",\n validate: function(input){\n if(isNaN(input) === false){\n return true;\n } else {\n console.log(\"Invalid quantity. Please try again.\")\n return false;\n }\n } \n }]).then(function (customerSelect){\n \n // connect to database based on customer item and quantity selection\n query = connection.query (\"SELECT * FROM products WHERE item_id=?\", customerSelect.item, function (err, res){\n if (err) throw err;\n // console.log(\"affected rows: \", res.length)\n if(customerSelect.amount > res.stock_quantity){\n console.log(\"Insufficient quantity! Please input a value less than or equal to the quantity available in stock\");\n return;\n }\n if (!res){\n console.log(\"Oops! It looks like you did not select a product. Please select an item listen by typing in the corresponding Item ID\")\n }\n\n //////////////////////////////////////// Update table after purchase and print \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\n connection.query(\"UPDATE products SET ? WHERE ?\", [\n {\n stock_quantity: (res[0].stock_quantity - customerSelect.amount)\n },\n {\n item_id: customerSelect.item\n }\n ], function(err, res) {\n if(customerSelect.amount == 0){\n console.log(\"\\n \\t Oops, you did not provide a valid number to purchase! \\n\");\n welcomePurchase();\n } else {\n console.log(`\n You've successfully purchased ${customerSelect.amount} units of Item ID: ${customerSelect.item}!\n `);\n nextPrompt();\n }\n }); \n });\n });\n }","function promptId(results) {\n inquirer\n .prompt({\n name: \"item_id\",\n type: \"input\",\n message: \"What's the ID of the product you want?\",\n \n /* Validates that the input is actually a number */\n validate: function (value) {\n answerId = value\n if (answerId > 0) {\n return true;\n }\n else {\n return \"This is not a number. Try again\";\n }\n }\n }).then(function (answers) {\n \n // Reassigning answerID (the id chosen) to the answers (answer {item_id: \"3\"})\n answerId = answers.item_id;\n \n // If less than the result's index and greater than 0, console.log the id\n if (answerId < (results.length + 1) && answerId > 0) { \n console.log(\"You've chosen product ID: \" + chalk.bold.yellow(answerId));\n console.log(\"--------------------------------------\")\n \n // Fires promptQuantity function \n promptQuantity();\n }\n // Other let them know not valid and refire promptId\n else {\n console.log(\"Not a valid id. Try again\");\n promptId(results);\n \n }\n\n });\n}","function promptUser(res){\n inquirer\n .prompt({\n name: \"productID\",\n message: \"Which product ID would you like to buy?\",\n })\n .then(function(answer1) {\n\n inquirer.prompt({\n name: \"quantity\",\n message: \"How many units of the product would you like to buy?\"\n\n }).then(function(answer2){\n var quantity = answer2.quantity;\n var productID = parseInt(answer1.productID);\n\n //find product\n\n var product = res.find(function(row){\n return row.id === productID;\n });\n\n if(product === undefined)\n {\n console.log(\"Product not found\");\n return;\n }\n\n //check quantity\n\n if(quantity > product.stock_quantity){\n console.log(\"Insufficient quantity!\");\n\n }else{\n console.log(\"----------------------\");\n \n //update the database with the new quantity\n\n //display the total cost of purchase\n \n }\n\n })\n \n });\n}","function shoppingCart() {\n \n inquire.prompt([{\n message: \"Enter product ID you would like to purchase\",\n type: \"input\",\n name: \"userItems\"\n },\n {\n message: \"Enter Quantity\",\n type: \"input\",\n name: \"userQuantity\"\n }\n ]).then(function (answers) {\n var query = \"SELECT item_id, product_name, stock_quantity, price FROM products WHERE ?\";\n connection.query(query, {\n item_id: answers.userItems\n }, function (err, res) {\n for (var i = 0; i < res.length; i++) {\n if (res[i].stock_quantity < answers.userQuantity) {\n console.log(\"Sorry we only have \" + res[i].stock_quantity + \" in stock. But check back soon!\");\n shoppingCart();\n } else {\n itemCart.push(res[i]);\n cartQuant.push(parseInt(answers.userQuantity));\n continueShopping();\n };\n };\n });\n });\n}","function selectItem() {\n inquirer.prompt([\n {\n type: \"input\",\n message: \"Enter the ID for the product you'd like to buy\",\n name: \"productID\"\n },\n {\n type: \"input\",\n message: \"How many units of the product would you like to buy?\",\n name: \"quantity\"\n }\n ]).then(function(inquirerResponse){\n var productID = parseInt(inquirerResponse.productID);\n var qty = inquirerResponse.quantity;\n isAvailable(productID, qty);\n })\n}","function selectionPrompt() {\n\n inquirer.prompt([{\n\n type: \"input\",\n name: \"inputId\",\n validate: validateID,\n message: \"Enter the ID# of the item you want to purchase.\",\n },\n {\n type: \"input\",\n name: \"inputNumber\",\n validate: validateQty,\n message: \"How many would you like to purchase?\",\n\n }\n ]).then(function (userPurchase) {\n\n\n var sql = \"SELECT * FROM products WHERE item_id=?\";\n connection.query(sql, [userPurchase.inputId], function (err, res) {\n for (var i = 0; i < res.length; i++) {\n\n if (userPurchase.inputNumber > res[i].stock_quantity) {\n\n console.log(\"===================================================\");\n console.log(\"Sorry! Not enough in stock. Please try again later.\");\n console.log(res[i].stock_quantity + \" IN STOCK\");\n console.log(\"===================================================\");\n \n //@todo prompt revise quantity\n startPrompt();\n\n } else {\n console.log(\"===================================\");\n console.log(\"You've selected:\");\n console.log(\"===================================\");\n console.log(\"Item: \" + res[i].product_name);\n console.log(\"Department: \" + res[i].department_name);\n console.log(\"Price: \" + res[i].price);\n console.log(\"Quantity: \" + userPurchase.inputNumber);\n console.log(\"===================================\");\n console.log(\"Total: \" + res[i].price * userPurchase.inputNumber);\n console.log(\"===================================\");\n\n var newQty = (res[i].stock_quantity - userPurchase.inputNumber);\n var purchaseId = (userPurchase.inputId);\n var price = res[i].price;\n var productSales = res[i].product_sales;\n console.log(newQty);\n confirmPrompt(userPurchase.inputNumber, price, newQty, productSales, purchaseId);\n }\n }\n });\n });\n}","function promptUser(){\n inquirer\n .prompt([\n {\n type: 'input',\n name: 'item_id',\n message: 'What is the id of the product you would like to buy',\n\n },\n //The second message should ask how many units of the product they would like to buy.\n\n {\n type: 'input',\n name: 'quantity',\n message: 'How many units would you like to buy?'\n }\n ]).then(function(answer){\n console.log('You have selected: ' + answer.item_id);\n console.log('the amount you have selected: ' + answer.quantity);\n\n var item = answer.item_id;\n var quantity = answer.quantity;\n \n\n var queryStr = 'SELECT * FROM products WHERE ?';\n connection.query(queryStr, {item_id: item}, function(err,data){\n // let table = new Tablefy('table');\n // table.draw(data);\n if(err) throw err;\n if(data.length === 0){\n console.log('Sorry! please select a valid id');\n } else {productData = data[0];\n if(quantity <= productData.stock_quantity){\n console.log('Order has been placed for '+ quantity);\n var updateQuery = 'UPDATE products SET stock_quantity ' +(productData.stock_quantity - quantity) + ' WHERE item_id: ' + item;\n\n } else {\n console.log(\"Sorry we do not have that much in stock\");\n } \n }\n })\n\n\n })\n}","function promptCustomer(availableItems) {\n inquirer.prompt([\n {\n type: \"list\",\n message: \"What product would you like to buy?\",\n choices: availableItems,\n name: \"customerSelection\"\n },\n {\n type: \"input\",\n message: \"How many would you like to buy?\",\n name: \"purchaseQuantity\",\n validate: (value) => {\n// This makes it so you cannot type a word in for quantity\n return !isNaN(value);\n }\n }\n ]).then(customerSelection => {\n checkAvailability(customerSelection);\n });\n}","function start() {\n inquirer.prompt([\n {\n type: \"input\",\n name: \"itemID\",\n message: \"What is the ID of the item you would like to purchase? [Quit with Q]\",\n validate: function(inputID) {\n //if users enter q or Q, exit the program.\n if (inputID.toLowerCase() === \"q\") {\n connection.end();\n process.exit();\n }\n //users need to enter a number between 1 to 10 because there are 10 items in the table.\n else if ((!isNaN(inputID)) && (inputID<=10) && (inputID>0)) {\n return true;\n }\n console.log(\"Please enter a valid ID.\");\n return false;\n }\n },\n {\n type: \"input\",\n name: \"quantity\",\n message: \"How many would you like? [Quit with Q]\",\n validate: function(inputQ) {\n //if users enter q or Q, exit the program.\n if (inputQ.toLowerCase() === \"q\") {\n connection.end();\n process.exit();\n }\n //users need to enter a number\n else if (!isNaN(inputQ)) {\n return true;\n }\n console.log(\"Please enter a valid quantity.\");\n return false;\n }\n }\n ]).then(function (answer) {\n\n connection.query(\"SELECT * FROM products\", function(err, res) {\n if (err) throw err;\n //query through out the table to find the matched ID as the selected item.\n var chosenItem =\"\";\n for (var i = 0; i < res.length; i++) {\n if (res[i].item_id === parseInt(answer.itemID)) {\n chosenItem = res[i];\n }\n }\n \n //check if the inventory has enough of the product to meet the customer's request.\n //if it has enough of the product, update the SQL database to reflect the remaining quantity\n if (chosenItem.stock_quantity >= parseInt(answer.quantity)) {\n connection.query(\n \"UPDATE products SET ? WHERE ?\",\n [\n {\n stock_quantity: chosenItem.stock_quantity-= parseInt(answer.quantity)\n },\n {\n item_id: chosenItem.item_id\n }\n ],\n function(error) {\n if (error) throw err;\n //Once the update goes through, show the customer the total cost of their purchase.\n var totalCost = answer.quantity * chosenItem.price;\n console.log(\"Thank you. Successfully purchased \"+ answer.quantity + \" \" + chosenItem.product_name + \".\");\n console.log(\"Your total cost is $\"+ totalCost + \".\");\n display();\n }\n );\n }\n else {\n //show error message when inventory is not sufficient to prevent the order from going through.\n console.log(\"Sorry. Insufficient quantity! Please select another item or change your quantity.\");\n start();\n }\n });\n });\n\n}","function promptUser() {\n inquirer\n .prompt([\n {\n type: \"input\",\n name: \"itemId\",\n message:\n \"Please Type in the Item ID of the product you would like to buy! \",\n validate: function (value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n },\n },\n\n {\n type: \"input\",\n name: \"itemQuantity\",\n message: \"How Many Would You like today??\",\n validate: function (value) {\n if (isNaN(value) === false) {\n return true;\n }\n return false;\n },\n },\n ])\n .then(function (answer) {\n // We Want to store those answers in variables\n var itemIdSelected = answer.itemId;\n var itemQuantityEntered = answer.itemQuantity;\n\n // Checking up if the id selected exists in the inventory\n connection.query(\n \"SELECT * FROM products WHERE ?\",\n { item_id: itemIdSelected },\n function (err, data) {\n if (err) throw err;\n\n // If the id the user selected doesnt exist\n if (data.length === 0) {\n console.log(\"Error: Invalid Item ID, Please Select A valid one!\");\n\n setTimeout(displayInventory, 2000);\n\n // We do checking the quantity wanted and comparing it ....etc\n } else {\n // Store the product data in a variable\n var productSelectedData = data[0];\n\n // compare it to the quantity available if it's lower or equal we do the updates\n if (itemQuantityEntered <= productSelectedData.stock_quantity) {\n console.log(\n \"\\nCongratulations, the product quantity you requested is in stock! Placing order.....\"\n );\n // Updating our bamazon database\n connection.query(\n \"UPDATE products SET ? WHERE ?\",\n [\n {\n stock_quantity:\n productSelectedData.stock_quantity - itemQuantityEntered,\n },\n {\n item_id: itemIdSelected,\n },\n ],\n function (err, data) {\n if (err) throw err;\n\n // logging information for the user\n console.log(\n \"Your order has been placed! Your total is $\" +\n (productSelectedData.price * itemQuantityEntered).toFixed(\n 2\n )\n );\n console.log(\n \"Order Details: \" +\n itemQuantityEntered +\n \" \" +\n productSelectedData.product_name\n );\n console.log(\"Thank you for shopping with us!\");\n console.log(\n \"\\n---------------------------------------------------------------------\\n\"\n );\n\n // end connection\n connection.end();\n }\n );\n\n // IF Qantity enetered is more than inventory quantity log and prompt user again\n } else {\n console.log(\"\\nSorry, not enough quantity in our inventory.\");\n console.log(\"Please modify your order.\");\n console.log(\n \"\\n---------------------------------------------------------------------\\n\"\n );\n\n setTimeout(promptUser, 2000);\n }\n }\n }\n );\n });\n}","function selectQuantity() {\n inquirer.prompt({\n name: \"quantity\",\n type: \"input\",\n message: \"How many would you like to purchase\"\n })\n .then(function (answer) {\n\n //Set customer total\n customerTotal = (answer.quantity * selectedItem.price);\n //Set new quantity\n var newQuantity = (selectedItem.stock_quantity - answer.quantity)\n\n //If the customer requests more of the item than we have left, alert them of how much of the product is remaining\n if (selectedItem.stock_quantity < answer.quantity) {\n console.log(\"Sorry, we only have \" + selectedItem.stock_quantity + \" left of that product\")\n selectQuantity();\n\n //If customer chooses none, fire purchase more function\n } else if (parseInt(answer.quantity) === 0) {\n console.log(\"No worries. It's okay to change your mind\")\n purchaseMore();\n\n } else {\n //Confirm the customer would like to make the purchase\n inquirer.prompt({\n name: \"verify\",\n type: \"confirm\",\n message: \"Your total comes to $\" + (customerTotal) + \". Would you like to make this purchase?\"\n })\n\n //If they answer yes, thank them and call the purchaseMore function\n .then(function (answer) {\n if (answer.verify === true) {\n\n //Otherwise, update the database by subtracting the customers request from the stock_quantity\n connection.query(\"UPDATE products SET ? WHERE ?\",\n [\n {\n stock_quantity: newQuantity\n },\n {\n item_id: selectedItem.item_id\n }\n ])\n console.log(\"Thank you for shopping!\")\n purchaseMore();\n //Otherwise, redirect them to the selectQuantity function\n } else {\n console.log(\"Okay, let's try this again\")\n selectQuantity();\n }\n })\n }\n })\n}","function start() {\n inquirer\n .prompt([\n {\n name: \"itemID\",\n type: \"input\",\n message: \"Please enter the ID of the bean you'd like to purchase.\",\n //make sure entry is a positive integer in the range of possible ids\n validate: function(value) {\n if (isNaN(value) === false && value > 0 && value < resLength) {\n return true;\n }\n return false;\n \n }\n },\n {\n name: \"quantity\",\n type: \"input\",\n message: \"Please enter the quanity you'd like to purchase.\",\n //make sure entry is a positive integer\n validate: function(value) {\n if (isNaN(value) === false && value >= 1) {\n return true;\n }\n return false;\n \n }\n }\n ])\n .then(function(answer) {\n //clear selectionArray\n selectionArray = [];\n //populate selectionArray with relevant data from the user's choice. these values are used in subsequent code.\n for (i=0; i < iDarray.length; i++) {\n if (parseInt(iDarray[i]) === parseInt(answer.itemID)) {\n selectionArray.push(parseInt(iDarray[i]));\n selectionArray.push(productChoices[i]);\n selectionArray.push(parseInt(stockCounter[i]));\n //used parseFloat since the price needs to have 2 decimal values\n selectionArray.push(parseFloat(priceList[i]));\n }\n }\n //ensure there is enough stock on hand to fulfill the order. if there isn't, notify user.\n if (parseInt(answer.quantity) > parseInt(selectionArray[2])) {\n console.log(\"Sorry, we don't have enough \" + selectionArray[1].toLowerCase() + \" in stock to fulfill your order\");\n //call function that allows user to choose to continue or exit the application.\n endgame();\n }\n \n else{\n //if stock is sufficient, update the relevant stock_quantity from the mysql table.\n connection.query(\n \"UPDATE products SET ? WHERE ?\",\n [\n {\n stock_quantity: parseInt(selectionArray[2]) - parseInt(answer.quantity)\n },\n {\n item_id: parseInt(answer.itemID)\n }\n ],\n function(err) {\n if (err) throw err;\n //set variable to hold the total cost of the order\n var cost = selectionArray[3] * parseInt(answer.quantity);\n //update the stock in the selectionArray. this prevents the user from being allowed to order more than is actually on hand.\n selectionArray[2] = parseInt(selectionArray[2]) - parseInt(answer.quantity);\n //inform user of the success of the order and give them a summary of the relevant order details.\n console.log(\"You have purchased \" + answer.quantity + \" kg of \" + selectionArray[1].toLowerCase() + \n \" & your account has been charged $\" + cost.toFixed(2) + \n \". Thanks for shopping with beanazon!!\");\n //call function that allows user to choose to continue or exit the application.\n endgame();\n }\n );\n }\n } \n \n )}","function purchase() {\n inquirer.prompt([{\n name: 'id',\n type: 'input',\n message: \"What is the ID of the item you would like to purchase? [Quit with Q]\"\n }, {\n name: 'quantity',\n type: 'input',\n message: \"How many would you like? [Quit with Q]\"\n }])\n //product chosen\n .then(function (answer) {\n console.log(answer);\n\n connection.query(\"SELECT * FROM products WHERE item_id = ? \",\n [answer.id],\n function (err, res) {\n if (err) throw err;\n console.log(res);\n var chosenItem = res[0]; \n\n //update product quantity\n if (chosenItem.stock_quantity < parseInt(answer.number)) {\n connection.query(\"UPDATE products SET ? WHERE ?\", [{\n stock_quantity: number\n },\n {\n item_id: chosenItem\n }\n ],\n function (error) {\n if (error) throw err;\n console.log(\"Purchased!\");\n }\n );\n } else {\n console.log(\"Sorry, item not available. Select another item.\");\n }\n });\n }, )\n}","function purchase() {\n\n inquirer\n .prompt([\n {\n name: \"itemID\",\n type: \"input\",\n message: \"\\nGreat! What is the Item # of the product you would like to purchase?\\n\"\n },\n {\n name: \"units\",\n type: \"number\",\n message: \"\\nHow many units of the item would you like to purchase?\\n\"\n },\n\n ])\n .then(function (selection) {\n // get the information of the chosen item\n\n // query the database for all items available to purchase\n connection.query(\"SELECT * FROM products WHERE id=?\", selection.itemID, function (err, res) {\n\n for (var i = 0; i < res.length; i++) {\n\n if (selection.units > res[i].stockQuantity) {\n\n console.log(chalk.green.bold(\"===================================================\"));\n console.log(chalk.green.bold(\"Sorry! Not enough of that item in stock.\"));\n console.log(chalk.green.bold(\"===================================================\"));\n newOrder();\n\n } else {\n //list item information for user for confirm prompt\n console.log(chalk.green.bold(\"===================================================\"));\n console.log(chalk.green.bold(\"Awesome! We can fulfull your order.\"));\n console.log(chalk.green.bold(\"===================================================\"));\n console.log(chalk.green.bold(\"You've selected:\"));\n console.log(chalk.green.bold(\"----------------\"));\n console.log(chalk.green.bold(\"Item: \" + res[i].productName));\n console.log(chalk.green.bold(\"Department: \" + res[i].departmentName));\n console.log(chalk.green.bold(\"Price: $\" + res[i].price));\n console.log(chalk.green.bold(\"Quantity: \" + selection.units));\n console.log(chalk.green.bold(\"----------------\"));\n console.log(chalk.green.bold(\"Total: $\" + res[i].price * selection.units));\n console.log(chalk.green.bold(\"===================================================\\n\"));\n\n var newStock = (res[i].stockQuantity - selection.units);\n var purchaseId = (selection.itemID);\n //console.log(newStock);\n confirmPrompt(newStock, purchaseId);\n }\n }\n });\n })\n}","function placeOrder() {\n // First, should ask them the ID of the product they would like to buy\n inquirer.prompt([\n {\n type: 'input',\n name: 'productID',\n message: 'Which product ID which you like to buy?'\n },\n // Second, should ask how many units of the product they would like to buy\n {\n type: 'input',\n name: 'quantity',\n message: 'How many units of the product would you like to buy?'\n\n }\n ])\n // response of the user to the above two messages\n .then(({productID, quantity})=> {\n console.log(productID)\n console.log(quantity)\n })\n}","function startTransaction() {\n inquirer.prompt([\n {\n type: \"input\",\n message: \"What is the id of the product you want to purchase?\",\n name: \"id\",\n validate: function validateId(id) {\n return id !== '';\n }\n },\n {\n type: \"input\",\n message: \"Please enter quantity of product you wish to purchase\",\n name: \"stock_quantity\",\n validate: function validateId(stock_quantity) {\n return stock_quantity !== '';\n }\n }\n\n\n ])\n //This function checks the input from inquirer to see if there is enough quantity on hand\n .then(function (checkQuantity) {\n var query = \"SELECT * FROM products WHERE ?\";\n connection.query(query, { id: checkQuantity.id },\n function (err, res) {\n\n\n\n if (checkQuantity.stock_quantity > res[0].stock_quantity) {\n console.log(\"We have insufficient quantity to place your order\");\n \n }\n else {\n console.log(\"We are placing your order!\");\n //This section calculates the cost of the purchase and lets the customer know\n var cost = checkQuantity.stock_quantity * res[0].price;\n console.log(\"Your cost is $\" + parseFloat(cost).toFixed(2));\n newQty = res[0].stock_quantity - checkQuantity.stock_quantity;\n\n //Once the previous function confirms that there is enough stock on hand\n //this function then takes the order quantity and subtracts it from the \n //quantity on hand to get the new quanity on hand and updates\n //sql with the new stock quantity\n var query = connection.query(\n \"UPDATE products SET stock_quantity = (stock_quantity - ?) WHERE id=?\",\n [checkQuantity.stock_quantity, checkQuantity.id],\n\n function (error) {\n if (error) throw err;\n \n\n }\n );\n }\n contShopping();\n\n }\n\n\n )\n\n\n });\n\n\n}","function userPurchase () {\ninquirer\n .prompt ([\n {\n type: 'input',\n name: 'item_id',\n message: 'Please enter the ID of the item you would like to purchase.',\n filter: Number,\n validate: correctInput\n },\n {\n type: 'input',\n name: 'quantity',\n message: 'How many would you like to purchase?',\n validate: correctInput,\n filter: Number,\n }\n ]).then(function(input){\n var item = input.item_id;\n var quantity = input.stock_quantity;\n\n var queryID = 'SELECT * FROM products WHERE ?';\n\n connection.query(queryID, {item_id: item}, function (err, data) {\n if (err) throw err;\n\n if (data.length === 0) {\n console.log('Sorry, invalid item ID. Please select a valid ID.');\n displayInventory();\n } else {\n var productData = data [0];\n\n if (quantity <= productData.quantity) {\n console.log ('The product you requested is in stock! Placing your order now.');\n\n var updateQueryID = 'UPDATE products SET stock_quantity = ' + (productData.stock_quantity - quantity) + 'WHERE item_id =' + item;\n \n connection.query(updateQueryID, function(err, data) {\n if (err) throw err;\n\n console.log ('\\nYour order has been placed! Your total is $' + productData.price * quantity);\n console.log ('\\nThank you for shopping with us!');\n console.log ('\\n ----------------------------\\n');\n\n connection.end();\n })\n } else {\n console.log ('\\nInsufficient! There is not enough product in stock, therefore, your order cannot be placed.');\n console.log ('\\nPlease modify your order and replace your products again.');\n console.log('\\n----------------------------------------------\\n');\n\n displayInventory();\n }\n }\n })\n })\n}","function userWants() {\n inquirer\n .prompt([\n {\n name: \"chooseId\",\n type: \"input\",\n message: \"What is the ID of the product you would like to buy?\",\n },\n {\n name: \"chooseQuant\",\n type: \"input\",\n message: \"How many of the selected item do you like to buy?\"\n }\n\n ])\n .then(function (answer) {\n\n var itemWanted = answer.chooseId; // Storing the name of the selected item\n var numberWanted = answer.chooseQuant; // Storing the quantity of the selected item\n if (itemWanted < 1 || itemWanted > 10){\n console.log(\"Invalid ID. Please try again\");\n userWants();\n } else {\n\n //checking to see if the selected item has enough stock. \n var query = connection.query(\"SELECT * FROM products WHERE item_id=?\", [itemWanted], function (err, res) {\n //When we DON'T have enough in stock\n if (res[0].stock_quantity < parseInt(numberWanted)) {\n console.log(\"=====================================================================\");\n console.log(\"Insufficient quantity! Please try again\");\n userWants();\n } else {\n //When we DO have enough in stock\n console.log(\"=====================================================================\");\n console.log(\"Thank you very much for your purchase. Your order has been placed.\");\n connection.query(\"UPDATE products SET ? WHERE ?\", [\n {\n stock_quantity: res[0].stock_quantity - parseInt(numberWanted)\n },\n {\n item_id: itemWanted\n }\n\n ], function (err, result) {\n console.log(\"The total price for your item is $\" + res[0].price * parseInt(numberWanted) + \". \\nThank you for using Bamazon\");\n console.log(\"=====================================================================\");\n console.log(\"If you want to make your next purchase, simply press upper arrow key :)\");\n\n connection.end();\n\n })\n }\n \n });\n };\n });\n\n \n\n}","function qty() {\n inquirer\n .prompt({\n name: \"action\",\n type: \"input\",\n message: \"How many would you like?\",\n\n })\n .then(function(answer) {\n quantityToBuy = answer.action;\n checkqty();\n })\n}","function purchasePrompt() {\n console.log(\"yes\");\n inquirer.prompt([{\n type: \"confirm\",\n name: \"purchase\",\n message: \"Would you like to purchase an item?\",\n default: true\n\n }]).then(function (user) {\n if (user.purchase === true) {\n selectionPrompt();\n } else {\n startPrompt();\n }\n });\n}","function purchaseStart() {\n inquirer\n .prompt([\n {\n type: \"input\",\n name: \"ID\",\n message: \"What is the id number of your product?\",\n validate: validateInput,\n filter: Number\n },\n {\n type: \"input\",\n name: \"stockQuantity\",\n message: \"How many units would you like to purchase today?\",\n validate: validateInput,\n filter: Number\n }\n ])\n .then(function(answer) {\n //take answers and pass through as variable parameters\n\n var requestedQuantity = answer.stockQuantity;\n var idRequested = answer.ID;\n // use the mysql command to select product from table created in bamazon_db\n query = \"SELECT * FROM products WHERE ?\";\n connection.query(query, { id: idRequested }, function(err, res) {\n if (res.length === 0) {\n console.log(\"error!\");\n throw err;\n\n // displayProduct();\n } else {\n var selection = res[0];\n\n if (requestedQuantity <= selection.stock_quantity) {\n console.log(\" Your order is now being processed!!!\");\n\n var stockUpdate =\n \"UPDATE products SET stock_quantity = \" +\n (selection.stock_quantity - requestedQuantity) +\n \" WHERE id = \" +\n idRequested;\n\n connection.query(stockUpdate, function(err, res) {\n if (err) throw err;\n\n console.log(\n \"Your order is completed cool beans!! Pay me now!!!\" +\n selection.price * requestedQuantity\n );\n console.log(requestedQuantity);\n // the inquirer list below has a case function that allows the user to decide if they want to continue shopping or not\n // the breaks are used to cut the connection of each option\n inquirer\n .prompt({\n name: \"choose\",\n type: \"list\",\n message: \"would you like to purchase more today?\",\n choices: [\"Yes I would!\", \"No, thanks\"]\n })\n .then(function(answer) {\n switch (answer.choose) {\n case \"Yes I would!\":\n displayProduct();\n break;\n\n case \"No, thanks\":\n connection.end();\n break;\n }\n });\n });\n } else {\n // returns back to the original table and prompts user to try again next time\n displayProduct();\n // change to error message\n console.log(\"Sorry but we cannot process that quantity amount\");\n console.log(\"We will have more in stock soon! \");\n }\n }\n });\n });\n}","function productIDPrompt() {\n inquirer.prompt({\n name: \"ask\",\n message: \"Please input the ID of the product you would like to buy.\"\n }).then(function(answer) {\n productID = answer.ask;\n var query = \"SELECT item_id, product_name, price, stock_quantity FROM products WHERE ?\";\n connection.query(query, { item_id: answer.ask}, function(err, res) {\n if (err) throw err;\n selProductPrice = res[0].price;\n selProductStock = res[0].stock_quantity;\n \n console.log(`Here is the requested item information: \n________________________________________\n\nItem ID: ${res[0].item_id}\nItem Name: ${(res[0].product_name)}\nPrice: $${res[0].price}\nStock: ${res[0].stock_quantity}\n________________________________________\n`);\n quantityPrompt(selProductStock);\n })\n })\n}","function updateQuantity() {\n //variable for locally storing information from the first prompt for the second one\n var userItem = {\n id: 0,\n quantity: 0\n };\n inquirer.prompt([\n {\n type: \"input\",\n message: \"Please enter the [id] for the item you would like to update: \",\n name: \"id\",\n validate: function (value) {\n //validates that the id they entered matches an id in the cart\n var isValid = false;\n for (var index in cart) {\n if (cart[index].id == parseInt(value)) {\n isValid = true;\n //if the id's match, stores the information locally for validating quantity.\n userItem.id = cart[index].id;\n userItem.quantity = parseInt(cart[index].quantity);\n }\n }\n return (isValid) ? isValid : \"Please enter a valid [ID]\";\n }\n },\n {\n type: \"input\",\n message: \"Please enter the updated quantity: \",\n name: \"quantity\",\n validate: function (value) {\n var isValid = false;\n //validates that the quantity is a number greater than 0\n if (isNaN(value) == false && value > 0) {\n\n for (var index in cart) {\n //find the id the user selected in the cart array\n if (userItem.id == cart[index].id) {\n for (var i in stock) {\n //find the id the user selected in the stock array\n if (userItem.id == stock[i].ItemID) {\n //check to see if the amount in stock and currently in the cart is greater than the quantity entered by the user\n if (stock[i].StockQuantity + cart[index].quantity >= value) {\n isValid = true;\n } else {\n isValid = \"We do not have that many in stock.\"\n }\n }\n }\n }\n }\n return (isValid);\n } else {\n return \"Please enter a valid number\";\n }\n }\n }\n ]).then(function (choice) {\n\n //put the quantity already in the cart back in stock\n for (var index in stock) {\n if (stock[index].ItemID == userItem.id) {\n stock[index].StockQuantity += parseInt(userItem.quantity);\n }\n }\n //subtract the new quantity from stock after the old quantity has been restocked\n for (var i in cart) {\n if (cart[i].id == userItem.id) {\n cart[i].quantity = parseInt(choice.quantity);\n for (var j in stock) {\n if (cart[i].id == stock[j].ItemID) {\n stock[j].StockQuantity -= parseInt(choice.quantity);\n }\n }\n }\n }\n //dispay items in stock, shopping cart, and promt the user\n displayStock();\n shoppingCart();\n promptOptions();\n });\n}","function purchasePrompt() {\n\n inquirer.prompt([{\n\n type: \"confirm\",\n name: \"continue\",\n message: \"Would you like to purchase an item?\",\n default: true\n\n }]).then(function (user) {\n if (user.continue === true) {\n purchase();\n } else {\n console.log(chalk.green.bold(\"Thank you! Come back soon! Just enter: node bamazonCustomer.js\"));\n connection.end();\n }\n });\n}","function itemQty(item, name, stock){\n \n inquirer.prompt({\n type: \"list\",\n name: \"purchase\",\n message: \"would you like to purchse this item?\",\n choices: [\n \"yes\",\n \"no\"\n ]\n }) \n .then(function(answer){\n switch (answer.purchase) {\n case \"yes\":\n getQty(item);\n break;\n \n case \"no\":\n console.log(\"please make another selection\");\n greetings();\n break;\n \n }\n });\n\n function getQty(item, stock, name) {\n \n inquirer.prompt({\n name: \"qty\",\n type: \"input\",\n message: \"please enter the quantity you would like\",\n })\n .then(function(value){ \n\n var qty = $parseInt(value.qty, 10); \n \n // if (qty > stock) {\n // console.log(\"qty: \" + qty + \", stock: \" + stock);\n // console.log(\"sorry, we have insufficient supply of \" + name);\n // } else {\n // function updateStock(item, stock, name) {\n // var query = connection.query(\n // \"UPDATE products SET ? WHERE ?\",\n // [\n // {\n // stock_qty: stock_qty - qty\n // },\n // {\n // item_ID: item\n // }\n // ],\n // function(err, res) {\n \n // console.log(res.affectedRows + \" stock has been update!\\n\");\n \n \n // }\n // );\n // }\n // }; \n purchaseItems(item, qty); \n });\n\n function purchaseItems(item, qty){ \n \n connection.query(\"SELECT item_name, price, stock_qty FROM products WHERE ?\", \n {\n item_ID: item\n }, \n function(err, res) {\n if (err) throw err;\n \n console.log(qty + \" \" + res[0].item_name + \"s will be mailed to the address we have on file.\\n\");\n console.log(\"$\" + ((qty * res[0].price).toFixed(2)) + \" will be billed to your account. \\n\");\n delay(750).then(() => {\n console.log(\"thank you for shopping with Bamazon!\");\n });\n \n\nconnection.end();\n});\n\n\n\n}\n}\n}","function whatToBuy(){\n console.log(\" ~crunchy store~\")\nlet customerChoice = inquirer.prompt([\n\n {\n type: \"input\",\n name: \"item\",\n message:\"What would you like to buy?\"\n },\n {\n type: \"input\",\n name: \"qty\",\n message: \"How many would you like to buy?\"\n }\n ]).then(function(x) {\n let id = x.item;\n let qty = x.qty;\n\n console.log(\"Item: \" + products[x.item].item_name);\n console.log(\"QTY: \" + x.qty);\n console.log(\"Total Price: $\" + (products[x.item].sales_price * x.qty))\n\n // CHECK INVENTORY\n\n getInventory(id,qty,function(item,qty){\n \n // IF STATEMENT\n let newQty = item.inventory_qty - qty;\n\n console.log(\"Checking inventory..... \" + item.item_name);\n console.log(\"\");\n if(newQty > 0) {\n console.log(\"Purchase Complete!\")\n updateProducts(id,\"inventory_qty\",newQty);\n }\n else{\n console.log(\"Insufficient Qty for Order...\")\n }\n console.log(\"...\");\n console.log(\"\");\n console.log(\"\");\n console.log(\"\");\n\n runProgram();\n });\n\n });\n}"],"string":"[\n \"function userPurchase() {\\n inquirer\\n .prompt([\\n {\\n name: \\\"id\\\",\\n type: \\\"input\\\",\\n message: \\\"\\\\nWhat's the item ID of the product you would like to buy? \\\",\\n filter: Number\\n },\\n {\\n name: \\\"quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"How many items do you wish to buy? \\\",\\n filter: Number\\n },\\n\\n]).then(function(answer) {\\n var selectedID = answer.id;\\n var numberOfItems = answer.quantity;\\n console.log(selectedID, numberOfItems);\\n calcPurchase(selectedID, numberOfItems);\\n });\\n}\",\n \"function promptUserPurchase() {\\n inquirer.prompt([\\n {\\n name: \\\"itemID\\\",\\n message: \\\"What is the id number of the item you wish to purchase?\\\"\\n },\\n {\\n name: \\\"quantity\\\",\\n message: \\\"How many do you wish to buy?\\\"\\n }\\n ]).then(function (answers) {\\n if ((answers.itemID === \\\"x\\\") || (answers.quantity === \\\"x\\\")) {\\n process.exit();\\n }\\n var purchaseItem = answers.itemID;\\n var purchaseQty = answers.quantity;\\n checkStockQuantity(purchaseItem, purchaseQty);\\n });\\n}\",\n \"function purchaseItem(){\\n inquirer.prompt([\\n {\\n name: \\\"id\\\",\\n type: \\\"input\\\",\\n message: \\\"Please enter item ID of item you would like to purchase.\\\",\\n filter: Number\\n },\\n {\\n name: \\\"Quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"How many would you like to purchase?\\\",\\n filter: Number\\n },\\n ]).then(function(response){\\n var quantity = response.Quantity;\\n var itemId = response.id;\\n orderItem(itemId, quantity);\\n });\\n}\",\n \"function promptCustomer() {\\n inquirer.prompt([{\\n name: \\\"ID\\\",\\n type: \\\"input\\\",\\n message: \\\"Please enter Item ID you like to purhcase.\\\",\\n filter: Number\\n },\\n {\\n name: \\\"Quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"How many copies would you like?\\\",\\n filter: Number\\n },\\n ]).then(function (answers) {\\n var quantityNeeded = answers.Quantity;\\n var IDrequested = answers.ID;\\n purchaseOrder(IDrequested, quantityNeeded);\\n });\\n}\",\n \"function handleUser(){\\n inq.prompt([\\n {\\n name: \\\"id\\\",\\n message: \\\"Which product that you want to purchase? Please enter its ID.\\\",\\n validate: function(input){\\n input = parseInt(input);\\n // User input needs to be integer and has to be a valid id\\n return ! (isNaN(input) || input > last_id || input <= 0);\\n }\\n },\\n {\\n name: \\\"quantity\\\",\\n message: \\\"How many do you want to order?\\\",\\n validate: function(input){\\n input = parseInt(input);\\n // User input needs to be integer and cannot less than 0\\n return ! (isNaN(input) || input < 0 );\\n }\\n } \\n ]).then((ans)=>{\\n printReceipt(ans);\\n });\\n}\",\n \"function shopping() {\\n inquirer.prompt([\\n {\\n name: \\\"idSearch\\\",\\n type: \\\"input\\\",\\n message: \\\"Please enter the id of the product you would like.\\\"\\n },\\n {\\n name: \\\"quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"How much would you like?\\\"\\n }\\n ]).then(function (response) {\\n //sets inputs to variables and pushes them into the purchase function\\n var requestedId = response.idSearch;\\n var desiredQuantity = response.quantity;\\n purchase(requestedId, desiredQuantity);\\n });\\n}\",\n \"function promptUser() {\\n inquirer\\n .prompt([\\n {\\n message: \\\"Please, insert ID of item you would like to buy\\\",\\n type: \\\"input\\\",\\n name: \\\"ID\\\"\\n },\\n {\\n message: \\\"How many items would you like to purchase?\\\",\\n type: \\\"input\\\",\\n name: \\\"count\\\"\\n }\\n ])\\n .then(answers => {\\n checkQuantity(answers.count, answers.ID);\\n });\\n }\",\n \"function promptUserPurchase() {\\n\\t// console.log('___ENTER promptUserPurchase___');\\n\\n\\t// Prompt the user to select an item\\n\\tinquirer.prompt([\\n\\t\\t{\\n\\t\\t\\ttype: 'input',\\n\\t\\t\\tname: 'item_id',\\n\\t\\t\\tmessage: 'Please enter the Item ID which you would like to purchase.',\\n\\t\\t\\tvalidate: validateInput,\\n\\t\\t\\tfilter: Number\\n\\t\\t},\\n\\t\\t{\\n\\t\\t\\ttype: 'input',\\n\\t\\t\\tname: 'quantity',\\n\\t\\t\\tmessage: 'How many do you need?',\\n\\t\\t\\tvalidate: validateInput,\\n\\t\\t\\tfilter: Number\\n\\t\\t}\\n\\t]).then(function(input) {\\n\\t\\t// console.log('Customer has selected: \\\\n item_id = ' + input.item_id + '\\\\n quantity = ' + input.quantity);\\n\\n\\t\\tvar item = input.item_id;\\n\\t\\tvar quantity = input.quantity;\\n\\n\\t\\t// Query db to confirm that the given item ID exists in the desired quantity\\n\\t\\tvar queryStr = 'SELECT * FROM products WHERE ?';\\n\\n\\t\\tconnection.query(queryStr, {item_id: item}, function(err, data) {\\n\\t\\t\\tif (err) throw err;\\n\\n\\t\\t\\t// If the user has selected an invalid item ID, data attay will be empty\\n\\t\\t\\t// console.log('data = ' + JSON.stringify(data));\\n\\n\\t\\t\\tif (data.length === 0) {\\n\\t\\t\\t\\tconsole.log('ERROR: Invalid Item ID. Please select a valid Item ID.');\\n\\t\\t\\t\\tdisplayInventory();\\n\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tvar productData = data[0];\\n\\n\\t\\t\\t\\t// console.log('productData = ' + JSON.stringify(productData));\\n\\t\\t\\t\\t// console.log('productData.stock_quantity = ' + productData.stock_quantity);\\n\\n\\t\\t\\t\\t// If the quantity requested by the user is in stock\\n\\t\\t\\t\\tif (quantity <= productData.stock_quantity) {\\n\\t\\t\\t\\t\\tconsole.log('Congratulations, the product you requested is in stock! Placing order!');\\n\\n\\t\\t\\t\\t\\t// Construct the updating query string\\n\\t\\t\\t\\t\\tvar updateQueryStr = 'UPDATE products SET stock_quantity = ' + (productData.stock_quantity - quantity) + ' WHERE item_id = ' + item;\\n\\t\\t\\t\\t\\t// console.log('updateQueryStr = ' + updateQueryStr);\\n\\n\\t\\t\\t\\t\\t// Update the inventory\\n\\t\\t\\t\\t\\tconnection.query(updateQueryStr, function(err, data) {\\n\\t\\t\\t\\t\\t\\tif (err) throw err;\\n\\n\\t\\t\\t\\t\\t\\tconsole.log('Your oder has been placed! Your total is $' + productData.price * quantity);\\n\\t\\t\\t\\t\\t\\tconsole.log('Thank you for shopping with us!');\\n\\t\\t\\t\\t\\t\\tconsole.log(\\\"\\\\n---------------------------------------------------------------------\\\\n\\\");\\n\\n\\t\\t\\t\\t\\t\\t// End the database connection\\n\\t\\t\\t\\t\\t\\tconnection.end();\\n\\t\\t\\t\\t\\t})\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tconsole.log('Sorry, there is not enough product in stock, your order can not be placed as is.');\\n\\t\\t\\t\\t\\tconsole.log('Please modify your order.');\\n\\t\\t\\t\\t\\tconsole.log(\\\"\\\\n---------------------------------------------------------------------\\\\n\\\");\\n\\n\\t\\t\\t\\t\\tdisplayInventory();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t})\\n\\t})\\n}\",\n \"function startpurchase() {\\n inquirer\\n .prompt([\\n {\\n name: \\\"itemID\\\",\\n type: \\\"input\\\",\\n message: \\\"What is the ID of the product you wish to purchase?\\\",\\n },\\n {\\n name: \\\"quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"How many units would you like to buy?\\\"\\n }\\n ]).then(function(inquirerResponse) {\\n userAnswer = {\\n item_id: parseInt(inquirerResponse.item_id),\\n quantity: parseInt(inquirerResponse.quantity)\\n }\\n {\\n checkStore(userAnswer);\\n }\\n })\\n}\",\n \"function orderPrompt(greatestId){\\n inquirer.prompt([\\n {\\n name: \\\"id\\\",\\n message: \\\"Which item would you like to purchase(id)?\\\".question,\\n validate: function(input){\\n // Input must be a positive number that cannot be greater than the id of the last product in database\\n if(input > greatestId || !numberRegex.test(input)){\\n console.log(\\\"\\\\n Please enter a valid Id\\\".error);\\n return false;\\n }\\n else{\\n return true;\\n }\\n }\\n },\\n {\\n name: \\\"quantity\\\",\\n message: \\\"How many would you like to purchase?\\\".question,\\n validate: function(input){\\n // Input must be a whole number\\n if(numberRegex.test(input)){\\n return true;\\n }\\n else{\\n console.log(\\\"Please enter whole numbers\\\".error);\\n return false;\\n }\\n }\\n }\\n ]).then(function(input){\\n var id = input.id;\\n var quantity = input.quantity;\\n console.log(\\\"\\\\n Checking out...\\\".cyan);\\n checkStorage(id, quantity);\\n })\\n}\",\n \"function purchaseItem() {\\n\\tinquirer.prompt([{\\n\\t\\tname: \\\"puchaseItemID\\\",\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tmessage: \\\"What is the ID Number of the item you'd like to purchase?\\\",\\n\\t\\tvalidate: function(value) {\\n\\t\\t\\tif (value >= 1 && value <= 12) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}, \\n\\n\\t{\\n\\t\\tname: \\\"purchaseQty\\\",\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tmessage: \\\"How many of this item would you like to purchase?\\\",\\n\\t\\tvalidate: function(value) {\\n\\t\\t\\tif (value) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\\n\\t\\t},\\t\\t\\n\\t}]).then(function(response) {\\n\\t\\t// connection.query(\\\"SELECT * FROM products\\\", function(err, res) {\\n\\t\\t\\t// console.log(res);\\n\\t\\t// });\\n\\t\\torderItem(response);\\n\\t});\\n}\",\n \"function customerSelect () {\\n inquirer.prompt([\\n {\\n type: 'input',\\n name: 'item_num',\\n validate: (test_value) => { // check for an integer number > 0\\n return (/^\\\\d*$/.test(test_value) && test_value > 0) ? true : 'Enter a whole number greater than zero';\\n },\\n message: 'Enter the Item ID (# above) of the product you wish to purchase'\\n },\\n {\\n type: 'input',\\n name: 'item_qty',\\n validate: (test_value) => { // check for an integer number > 0\\n return (/^\\\\d*$/.test(test_value) && test_value > 0) ? true : 'Enter a whole number from the list above.';\\n },\\n message: `Enter the quantity you wish to purcahse`\\n }\\n ])\\n .then( (result) => {\\n let id = result.item_num;\\n let qty = result.item_qty;\\n //console.log(id,qty);\\n fillOrder(id, qty);\\n });\\n}\",\n \"function requestProduct() {\\n inquirer.\\n prompt([{\\n name: \\\"productID\\\",\\n type: \\\"input\\\",\\n message: \\\"What product would you like to buy? (Enter Product ID #)\\\",\\n validate: validateInput,\\n filter: Number\\n }, {\\n name: \\\"productUnits\\\",\\n type: \\\"input\\\",\\n message: \\\"How many units would you like to buy?\\\",\\n validate: validateInput,\\n filter: Number\\n\\n }]).then(function (input) {\\n completePurchase(input);\\n\\n });\\n}\",\n \"function purchase() {\\n inquirer\\n .prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"itemID\\\",\\n message: \\\"What is the ID of the item you would like to purchase?\\\",\\n validate: function(value) {\\n if (isNaN(value) === false && value !== '' && parseInt(value) > 0) {\\n return true;\\n } else {\\n console.log(\\\"\\\\nPlease enter a valid ID.\\\");\\n return false;\\n }\\n }\\n },\\n {\\n type: \\\"input\\\",\\n name: \\\"itemQuantity\\\",\\n message: \\\"How many would you like?\\\",\\n validate: function(value) {\\n if (isNaN(value) === false && value !== '' && parseInt(value) > 0) {\\n return true;\\n } else {\\n console.log(\\\"\\\\nPlease enter a valid quantity.\\\");\\n return false;\\n }\\n }\\n }\\n ])\\n .then(function(choice) {\\n //console.log(\\\"User's choice: \\\", choice);\\n\\n var currentItem = currentInventory.filter(\\n item => item.id === parseInt(choice.itemID)\\n );\\n \\n // Above function if written in longer form\\n // var currentItem = currentInventory.filter(function(item) {\\n // return item.id === parseInt(choice.itemID);\\n // });\\n\\n //console.log(\\\"currentItem\\\", currentItem);\\n //console.log(\\\"choice.itemQuantity\\\", parseInt(choice.itemQuantity));\\n //console.log(\\\"currentItem.stock_quantity\\\", currentItem[0].stock_quantity);\\n \\n // if item ID given by the customer does NOT match the ID in the 'products' table\\n if (currentItem.length == 0) {\\n console.log(\\\"Sorry that item doesn't exist\\\");\\n // ask customer if they want to move onto a different purchase\\n confirmNextPurchase();\\n\\n //if item ID given by the customer DOES match the ID in the 'products' table\\n } else {\\n // If the quantity requested is LESS THAN OR EQUAL to the stock quantity\\n if (parseInt(choice.itemQuantity) <= currentItem[0].stock_quantity) {\\n //fulfill order\\n //console.log(\\\"Enough quantity\\\");\\n console.log(\\\"You have picked \\\" + choice.itemQuantity + \\\" of the \\\" + currentItem[0].product_name + \\\".\\\")\\n var cost = parseInt(choice.itemQuantity) * currentItem[0].price;\\n console.log(\\\"Please pay the total of $\\\" + cost + \\\" before moving onto the next purchase!\\\")\\n \\n // Check if the customer paid\\n paidOrUnpaid( function(isPaid) {\\n if(isPaid){\\n // ONLY update the inventory (aka the 'products' table) if the customer has PAID\\n\\n //console.log('isPaid working');\\n var updatedStock = currentItem[0].stock_quantity - choice.itemQuantity;\\n //console.log(\\\"updatedStock\\\", updatedStock);\\n\\n // UPDATE the 'stock_quantity' in the 'products' table using the product ID chosen by the customer after the purchase\\n updateInventory(parseInt(choice.itemID), updatedStock);\\n confirmNextPurchase();\\n // Ends connection if the amount is NOT PAID\\n } else {\\n console.log(\\\"The amount is not paid.\\\");\\n connection.end();\\n }\\n });\\n // If the quantity requested is GREATER THAN the stock quantity\\n } else {\\n // Alert customer about the quantity left\\n console.log(\\\"Insufficient quantity!\\\");\\n console.log(\\\"We only have \\\" + currentItem[0].stock_quantity + \\\" of the \\\" + currentItem[0].product_name + \\\" left.\\\")\\n // Ask if customer would like to move onto a new purchase\\n confirmNextPurchase();\\n }\\n }\\n });\\n}\",\n \"function purchaseQuestions() {\\n inquirer\\n .prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"id\\\",\\n message: \\\"Enter the ID of the product you would like to purchase.\\\"\\n },\\n {\\n type: \\\"input\\\",\\n name: \\\"amount\\\",\\n message: \\\"How many units would you like?\\\"\\n }\\n ]).then(function (answer) {\\n productId = answer.id;\\n quantity = answer.amount;\\n itemPurchase();\\n })\\n}\",\n \"function customerPrompt() {\\r\\n inquirer\\r\\n .prompt([{\\r\\n name: \\\"item_id\\\",\\r\\n type: \\\"input\\\",\\r\\n message: \\\"What is the ID of the product you would like to purchase?\\\",\\r\\n },\\r\\n\\r\\n {\\r\\n name: \\\"quantity\\\",\\r\\n type: \\\"input\\\",\\r\\n message: \\\"How many of this product would you like to purchase?\\\",\\r\\n\\r\\n\\r\\n }]).then(function (answer) {\\r\\n connection.query(\\\"SELECT item_id, product_name, department_name, price, stock_quantity FROM products WHERE?\\\", { item_id: answer.item_id }, function (err, res) {\\r\\n for (var i = 0; i < res.length; i++)\\r\\n if (res[i].stock_quantity >= answer.quantity) {\\r\\n \\r\\n console.log(\\\"There is sufficient stock to fill this order\\\" );\\r\\n }\\r\\n else {\\r\\n console.log(\\\"Insufficient stock, order cannot be completed, please try again\\\");\\r\\n\\r\\n }\\r\\n \\r\\n connection.end();\\r\\n })\\r\\n })\\r\\n }\",\n \"function mainPrompt() {\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"itemID\\\",\\n message: \\\"Please enter the item ID of the item you would like to purchase.\\\",\\n },\\n {\\n type: \\\"input\\\",\\n name: \\\"quantity\\\",\\n message: \\\"How many would you like to purchase?\\\"\\n }\\n ]).then(function(answer) {\\n \\n // Necessary to turn the string into an integer for future calculations\\n purchaseQuantity = parseInt(answer.quantity);\\n itemID = answer.itemID;\\n\\n // Error checking...looking to see if it the item ID selected is in range\\n if (itemID < 1 || itemID > lastItemID) {\\n console.log(\\\"\\\\n**** You did not enter a valid Item ID. Please try again.\\\\n\\\");\\n start();\\n } else {\\n purchaseItem();\\n }\\n });\\n} // End mainPrompt function\",\n \"function purchase() {\\n connection.query(\\\"SELECT * FROM products\\\", function (err, res) {\\n if (err) throw err;\\n console.table(res);\\n inquirer.prompt([{\\n name: \\\"itemId\\\",\\n type: \\\"number\\\",\\n message: \\\"Enter the item ID of the item you want to buy.\\\".brightYellow\\n },\\n {\\n name: \\\"itemQuantity\\\",\\n type: \\\"number\\\",\\n message: \\\"Excellent Choice! How many would you like?\\\".brightYellow\\n }]).then(function (answer) {\\n saleItem = answer.itemId - 1;\\n saleQuantity = answer.itemQuantity;\\n checkInv()\\n\\n });\\n\\n });\\n\\n}\",\n \"function buyPrompt() {\\n inquirer\\n .prompt([\\n {\\n name: \\\"prodChoice\\\",\\n type: \\\"input\\\",\\n message: \\\"What's the ID of the product you'd like to purchase?\\\",\\n validate: function (value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n },\\n {\\n name: \\\"count\\\",\\n type: \\\"input\\\",\\n message: \\\"How many units would you like to purchase?\\\",\\n validate: function (value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n }\\n ])\\n .then(function (answer) {\\n\\n checkPurchase(answer.prodChoice, answer.count);\\n\\n });\\n}\",\n \"function userInput(){\\n\\n inquirer\\n .prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"itemId\\\",\\n message: \\\"Type the ID of the item you would like to purchase\\\"\\n },\\n {\\n type: \\\"input\\\",\\n name: \\\"itemQuantity\\\",\\n message: \\\"How many?\\\"\\n }\\n ])\\n .then(answer => {\\n \\n var id = answer.itemId;\\n var quantity = answer.itemQuantity;\\n\\n getProductQuantity(id,quantity);\\n\\n })\\n }\",\n \"function whatToBuy() {\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"itemID\\\",\\n message: \\\"Enter the Item ID of the item would you like to purchase\\\",\\n validate: function (input) {\\n if (isNaN(input)) {\\n return \\\"Enter the product number\\\";\\n } else {\\n return true;\\n }\\n }\\n }\\n ]).then(function (user) {\\n itemToBuy = user.itemID;\\n // after user input is entered, call checkIfItem function\\n checkIfItem();\\n });\\n}\",\n \"function promptForId(inventory) {\\n inquirer\\n .prompt([{\\n name: \\\"item_id\\\",\\n type: \\\"input\\\",\\n message: \\\"What is the id of the product you would like to buy?\\\",\\n // validates that the response is a number value\\n validate: function (value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n }\\n ])\\n .then(function (answer) {\\n\\n var id = parseInt(answer.item_id);\\n // product = whole row resulting from checkinventory fxn\\n var product = checkInventory(id, inventory);\\n if (product) {\\n promptForQuantity(product);\\n } else {\\n console.log(\\\"the item id is invalid\\\");\\n readProducts();\\n }\\n });\\n}\",\n \"function promptBuy() {\\n\\n //storing the item the user selects for validation in the second prompt\\n var userItem = {\\n id: 0,\\n quantity: 0\\n };\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n message: \\\"Please enter the [ID] for the item you would like to purchase\\\",\\n name: \\\"id\\\",\\n validate: function (value) {\\n var isValid = false;\\n\\n //validates that the value entered matched an id for an item in stock\\n for (var index in stock) {\\n if (stock[index].ItemID == parseInt(value)) {\\n isValid = true;\\n //stores the data from the item the user selected in the local var to use later\\n userItem.id = stock[index].ItemID;\\n userItem.quantity = stock[index].StockQuantity;\\n }\\n }\\n return (isValid) ? isValid : \\\"Please enter a valid [ID]\\\";\\n\\n }\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"Please enter the quantity you would like to purchase\\\",\\n name: \\\"quantity\\\",\\n validate: function (value) {\\n var isValid = false;\\n\\n //validates that the quantity entered is a number\\n if (isNaN(value) == false) {\\n\\n //validates that there is enough quantity in stock for the user to be able to purchase the quantity entered.\\n for (var index in stock) {\\n if (userItem.id == stock[index].ItemID && userItem.quantity >= parseInt(value)) {\\n isValid = true;\\n }\\n }\\n return (isValid) ? isValid : \\\"We do not have enough stock for that order\\\";\\n } else {\\n return \\\"Please enter a valid number\\\";\\n }\\n\\n }\\n }\\n ]).then(function (buy) {\\n //runs the buy update function\\n buyUpdate(buy.id, buy.quantity);\\n });\\n}\",\n \"function askProductID(results){\\n \\n inquirer\\n .prompt ([\\n {\\n type: \\\"Input\\\",\\n name:\\\"selection\\\",\\n message:\\\"What is the id for the item you want to buy?\\\"\\n }\\n\\n ])\\n .then (function (Input) {\\n \\n var selectionId = parseInt(Input.selection);\\n \\n var product=checkInventory(selectionId, results);\\n\\n //if product with selected id exists ask the user for quantity \\n if(product){\\n askForQuantity(product);\\n }else \\n {\\n //if product was not found \\n console.log(\\\"selected item is out of stock, please select another item from the list \\\")\\n displyProducts();\\n }\\n });\\n}\",\n \"function askUserForOder(){\\n inquire.prompt([\\n {\\n type: \\\"input\\\",\\n message: \\\"Enter item ID to purchase: \\\",\\n name: \\\"itemID\\\"\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"Enter quantity to purchase: \\\",\\n name: \\\"quantity\\\"\\n }\\n ]).then(function(inquirerResponse) {\\n // console.log(inquirerResponse);\\n // console.log(inquirerResponse.itemID);\\n\\n //loop itmes array to check if id entered exists and if not tell user. this piece I will code later.\\n let validID = false;\\n for (let j in itemsAvailable){\\n if (itemsAvailable[j].itemid === parseInt(inquirerResponse.itemID)){\\n validID = true; \\n }\\n }\\n // check if no selection restart app\\n if(!validID || inquirerResponse.itemID === \\\"\\\" || inquirerResponse.quantity === \\\"\\\"){\\n console.log('A valid selection is needed !!');\\n proceed();\\n }else{\\n var qString = \\\"\\\";\\n var totalcost=0;\\n const customerQuantity = parseInt(inquirerResponse.quantity);\\n // query database to check if in stock\\n qString = \\\"SELECT stock_quantity,price FROM products WHERE item_id =\\\"+parseInt(inquirerResponse.itemID);\\n \\n connection.query(qString,function(err,results){\\n if(err) throw err;\\n // console.log(results);\\n // console.log(results[0].stock_quantity);\\n\\n //compare quantity to order and actual stock\\n if(customerQuantity > results[0].stock_quantity){\\n console.log('Your order exceeds items in stock.');\\n console.log('Only '+results[0].stock_quantity+' item(s) in stock.');\\n console.log(\\\"Your order was unsuccessful\\\");\\n console.log(\\\"Please revise your order.\\\");\\n initializeApp();\\n }else{\\n //place order and update stock.\\n totalcost = results[0].price * customerQuantity;\\n qString = \\\"UPDATE products SET stock_quantity = stock_quantity -\\\"+customerQuantity+\\\" WHERE ?\\\"\\n connection.query(qString,\\n [\\n {\\n item_id:parseInt(inquirerResponse.itemID)\\n }\\n ],function(err,results){\\n if(err) throw err;\\n console.log(\\\"Your order was successful. \\\\nYour order total is: \\\"+\\\"$\\\"+totalcost+\\\" \\\\nThank you\\\");\\n proceed();\\n });\\n } \\n });\\n }\\n });\\n}\",\n \"function prompt() {\\n inquirer\\n .prompt([\\n {\\n // The first should ask them the ID of the product they would like to buy.\\n name: \\\"itemID\\\",\\n type: \\\"input\\\",\\n message: \\\"What is the ID of the item you would like to purchase?\\\"\\n },\\n {\\n //The second message should ask how many units of the product they would like to buy.\\n name: \\\"numUnits\\\",\\n type: \\\"input\\\",\\n message: \\\"How many units would you like?\\\"\\n }\\n ])\\n .then(function(answer) {\\n // console.log(answer.itemID);\\n // console.log(answer.numUnits);\\n checkItem(answer.itemID, answer.numUnits);\\n });\\n }\",\n \"function purchase(quantityRemaining, quantityRequest, price, id) {\\n if (quantityRemaining < quantityRequest) {\\n inquirer\\n .prompt({\\n name: \\\"editRequest\\\",\\n type: \\\"rawlist\\\",\\n message:\\n \\\"Insufficient quantity to fullfill order. Would you like to change your request to a smaller value?\\\",\\n choices: [\\\"Yes\\\", \\\"No\\\"]\\n })\\n .then(function(data) {\\n if (data.confirm === \\\"No\\\") {\\n console.log(\\\"Thank you for your business!\\\");\\n connection.end();\\n } else {\\n runSearch();\\n }\\n });\\n } else {\\n total = total + price * quantity;\\n connection.query(\\n \\\"UPDATE products SET stock_quantity = stock_quantity - \\\" +\\n quantity +\\n \\\" WHERE ?\\\",\\n [\\n {\\n item_id: id\\n }\\n ],\\n //alert user of the balance for their current request, if they want to make additional purchases \\n //then price and quantity is added to the \\\"total\\\" variable.\\n function(err, res) {\\n if (err) throw err;\\n\\n inquirer\\n .prompt({\\n name: \\\"confirm\\\",\\n type: \\\"rawlist\\\",\\n message:\\n \\\"\\\\nYour total for this transaction is: $\\\" +\\n (price * quantity).toString() +\\n \\\". Would you like to make another purchase?\\\",\\n choices: [\\\"Yes\\\", \\\"No\\\"]\\n })\\n .then(function(data) {\\n if (data.confirm === \\\"No\\\") {\\n console.log(\\\"\\\\nThe total for today is: $\\\" + total.toString());\\n connection.end();\\n } else {\\n runSearch();\\n }\\n });\\n }\\n );\\n }\\n}\",\n \"function prompt(){\\n\\tinquirer.prompt([{\\n\\t\\tname: \\\"buy_item\\\",\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tmessage: \\\"What would you like to purchase? (Type in Item ID)\\\",\\n\\t\\tvalidate: function(val){//http://simiansblog.com/2015/05/06/Using-Inquirer-js/\\n\\t\\t\\tif (isNaN(val) === false){\\n\\t\\t\\t\\treturn true\\n\\t\\t\\t}\\n\\t\\t\\treturn false\\n\\t\\t}\\n\\t},\\n\\t{\\n\\t\\tname: \\\"buy_quant\\\",\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tmessage: \\\"Hom many would you like?\\\",\\n\\t\\tvalidate: function(val){ //or can read https://www.npmjs.com/package/inquirer\\n\\t\\t\\tif (isNaN(val) === false) {\\n\\t\\t\\t\\treturn true\\n\\t\\t\\t}\\n\\t\\t\\treturn false\\n\\t\\t}\\n\\t}]).then(function(res) {\\n\\t\\tvar item = parseInt(res.buy_item); //user inputted item id: assumption that database will not change item id\\n\\t\\tvar quant = parseInt(res.buy_quant); //user will give quantity\\n\\t\\tvar product = productArr[item-1]; //get the product from the stored array list\\n\\t\\t// this is instead of doing another query call to database, which probably is best if database is really large; don't want to be storing everything in js meomry\\n\\t\\tif (quant > product.quant) {\\n\\t\\t\\tconsole.log(\\\"Not enough items in stock; there are only \\\"+product.quant+\\\" left!\\\");\\n\\t\\t\\tconsole.log(\\\"Please re-select: \\\");\\n\\t\\t\\tprompt(); //user will have to re-select what and how many they will buy\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\tdisplay(product);\\n\\t\\t\\tvar total = quant*product.price;\\n\\t\\t\\tconsole.log(\\\"your total comes to $\\\"+total);\\n\\n\\t\\t\\tinquirer.prompt([{\\n\\t\\t\\t\\tname: \\\"confirm\\\",\\n\\t\\t\\t\\ttype: \\\"confirm\\\",\\n\\t\\t\\t\\tmessage: \\\"Confirm purchase?\\\",\\n\\t\\t\\t\\tdefault: true\\n\\t\\t\\t}]).then(function(res){\\n\\t\\t\\t\\tif (res.confirm){\\n\\t\\t\\t\\t\\tvar left = product.quant - quant;\\n\\t\\t\\t\\t\\tconsole.log(\\\"Purchase successful!!\\\");\\n\\t\\t\\t\\t\\tinventory(item, left);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse{\\n\\t\\t\\t\\t\\t//if don't want to purchase can end session\\n\\t\\t\\t\\t\\tconsole.log(\\\"Good Bye! Thanks for coming\\\");\\n\\t\\t\\t\\t\\tconnection.end();\\n\\t\\t\\t\\t}\\n\\t\\t\\t})\\n\\t\\t}\\n\\t});\\n}\",\n \"function promptBuy(){\\n var query = \\\"SELECT productID FROM products\\\"; \\n connection.query(query, (err, result) => {\\n if(err) throw err;\\n inquirer.prompt([\\n {\\n name: \\\"getItem\\\",\\n type: \\\"list\\\",\\n message: \\\"Select the ID number of the product you wish to buy:\\\",\\n choices: function(){\\n var itemsArr = [];\\n for(var i = 0; i < result.length; i++){\\n itemsArr.push(`${result[i].productID}`);\\n }\\n return itemsArr;\\n }\\n },\\n {\\n name: \\\"getUnits\\\",\\n message: \\\"How many units would you like to purchase?\\\",\\n type: \\\"input\\\",\\n validate: function(value){\\n if (value.length){\\n return true; \\n } else{\\n return \\\"Sorry, you must enter a quantity\\\"; \\n } \\n }\\n }\\n ]).then(answer => {\\n console.log(\\\"Checking to see if enough inventory...\\\");\\n checkInventory(answer); \\n })\\n }) \\n}\",\n \"function promptCustomer() {\\n\\tinquirer.prompt([\\n\\t{\\n\\t\\tname: \\\"id\\\",\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tmessage: \\\"\\\\nPlease input the ID number of the item you would like to purchase\\\"\\n\\t}, {\\n\\t\\tname: \\\"quantity\\\",\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tmessage: \\\"\\\\nHow many of this item would you like to purchase?\\\"\\n\\t}\\n\\t]).then(function(response) {\\n\\t\\tchosenId = parseFloat(response.id);\\n\\t\\tchosenQuant = parseFloat(response.quantity);\\n\\t\\tvar chosenItem;\\n\\t\\tconnection.query(\\\"SELECT * FROM products\\\", function(err, res) {\\n\\t\\t\\tif (err) throw err;\\n\\t\\t\\tfor (var i = 0; i < res.length; i++) {\\n\\t\\t\\t\\tif (res[i].item_id === chosenId) {\\n\\t\\t\\t\\t\\tchosenItem = res[i];\\n\\t\\t\\t\\t};\\n\\t\\t\\t};\\n\\t\\t\\t// console.log(chosenItem.product_name); //for debugging\\n\\t\\t\\tif (chosenItem.stock_quantity < chosenQuant) {\\n\\t\\t\\t\\tconsole.log(\\\"\\\\nWe do not have enough of this item in stock.\\\\n\\\");\\n\\t\\t\\t}\\n\\t\\t\\telse {\\n\\t\\t\\t\\tvar totalCost = chosenItem.price * chosenQuant;\\n\\t\\t\\t\\tvar newStockQuant = chosenItem.stock_quantity - chosenQuant;\\n\\t\\t\\t\\t// console.log(newStockQuant);\\n\\t\\t\\t\\t// console.log(chosenItem.stock_quantity);\\n\\t\\t\\t\\t// console.log(chosenId);\\n\\t\\t\\t\\tconsole.log(\\\"\\\\nThank you for your order. Your total is $\\\" + totalCost +\\\"\\\\n\\\");\\n\\t\\t\\t\\t//function that updates inventory quantity\\n\\t\\t\\t\\tconnection.query(\\n\\t\\t\\t\\t\\t\\\"UPDATE products SET ? WHERE ?\\\",\\n\\t\\t\\t\\t\\t[\\n\\t\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\t\\tstock_quantity: newStockQuant\\n\\t\\t\\t\\t\\t\\t},\\n\\t\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\t\\titem_id: chosenId\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t],\\n\\t\\t\\t\\t\\tfunction(err, res) {\\n\\t\\t\\t\\t\\t\\tif (err) throw err;\\n\\t\\t\\t\\t\\t\\t// console.log(\\\"Quantity updated\\\");\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t);\\n\\t\\t\\t};\\n\\t\\t\\t// quantityCheck();\\n\\t\\t\\tconnection.end();\\n\\t\\t});\\n\\t});\\n}\",\n \"function addToInventory(){\\n // viewProducts();\\n\\n inquirer\\n .prompt([\\n // Here we create a basic text prompt.\\n {\\n type: \\\"input\\\",\\n message: \\\"What item (ID) would you like to update?\\\",\\n name: \\\"id\\\", \\n // validate: function validateID(name){\\n \\n // if(isNaN(name)===true){\\n // console.log('\\\\nBe sure to specify the correct ID as a number!')\\n // return false;\\n // }\\n // else if(name === \\\"\\\"){\\n // console.log('\\\\nBe sure to specify the correct ID as a number!')\\n // return false;\\n // }\\n // else {\\n // return true;\\n // }\\n // }\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"How many would you like to order and add to the stock (whole number)?\\\",\\n name: \\\"qty\\\", \\n // validate: function validateID(name){\\n \\n // if(isNaN(name)===true){\\n // console.log('\\\\nBe sure to specify the correct ID as a number!')\\n // return false;\\n // }\\n // else if(name === \\\"\\\"){\\n // console.log('\\\\nBe sure to specify the correct ID as a number!')\\n // return false;\\n // }\\n // else {\\n // return true;\\n // }\\n // }\\n },\\n\\n ])\\n .then(function(response) {\\n getQty(response.id, response.qty); \\n });\\n}\",\n \"function userPurchase() {\\n inquirer.prompt([\\n {\\n name: \\\"itemId\\\",\\n message: \\\"ENTER THE ID OF THE ITEM YOU WISH TO PURCHASE\\\",\\n type: \\\"input\\\",\\n validate: function (value) {\\n if (isNaN(value) === true || value == 0) {\\n return false;\\n }\\n return true;\\n }\\n },\\n {\\n name: \\\"units\\\",\\n message: \\\"HOW MANY UNITS WOULD YOU LIKE TO PURCHASE? (TYPE Q TO QUIT)\\\",\\n type: \\\"input\\\"\\n }\\n ]).then(function (answer) {\\n // In case the user changed their mind, they can type 'q' and it'll take them back to the starting prompt.\\n if (answer.units.toLowerCase() === \\\"q\\\") {\\n askUser();\\n }\\n else {\\n // Converting the users input into numbers so it can be compared to the table's numerical values.\\n answer.itemId = parseInt(answer.itemId);\\n answer.units = parseInt(answer.units);\\n\\n var query = \\\"SELECT * FROM products WHERE item_id=?\\\";\\n connection.query(query, answer.itemId, function (err, results) {\\n if (err) throw err;\\n\\n // If there isn't as much of the product in stock as the user wanted to order, display message to them.\\n if (answer.units > results[0].stock_quantity) {\\n console.log(\\\"\\\\nNOT ENOUGH OF '\\\" + results[0].product_name + \\\"' IN STOCK!\\\\n\\\");\\n askUser();\\n } else {\\n // If there is enough of the product in stock, run the function that handles updating the table data.\\n // Passing the relevant data as arguements.\\n validQuantity(answer.itemId, answer.units, results[0]);\\n }\\n });\\n }\\n });\\n}\",\n \"function buyThis(){\\n inqurier.prompt([\\n {\\n message: \\\"What is the ITEM ID of the PRODUCT you would like to buy?\\\",\\n name: \\\"id\\\"\\n },\\n { \\n message: \\\"How many UNITS would you like to buy?\\\",\\n name: \\\"purchase\\\",\\n },\\n ]).then(function(answer){\\n //convert to integers\\n var id = parseInt(answer.id);\\n var quantity = parseInt(answer.purchase)\\n\\n //purcahse logic\\n\\n if (isNaN(answer.id) == true || id <=0 || id > resultArray.length) {\\n //error message for invalid number entry \\n console.log(\\\"Error: INVALID ITEM ID\\\")\\n }\\n else if (isNan(answer.purcahse) == true || quantity <= 0){\\n //error for purchasing zero items\\n console.log(\\\"You must order more than one\\\")\\n }\\n else if (quantity > resultArray[id -1].stock_quantity){\\n //error for not enough stock \\n console.log(\\\"WE ARE OUT OF THAT\\\")\\n }\\n else {\\n //for a sucessful order\\n purchaes.push(resultArray[id - 1].product_name);\\n amounts.push(quantity);\\n\\n //total of curent order and total order\\n var orderCost = quantity * resultArray[id-1].price;\\n orderCost = parseFloat(orderCost.toFixed(2));\\n total += orderCost;\\n total = parseFloat(total.toFixed(2))\\n\\n sales = resultArray[id - 1].product_sales + orderCost;\\n\\n console.log(\\\"You have selected ITEM\\\" + id + \\\",\\\" + resultArray[id - 1].product_name + \\\".\\\" )\\n console.log(\\\"This item costs $\\\" + resultArray[id - 1].price + \\\" per unit. You have ordered \\\" + quantity + \\\" units.\\\");\\n console.log(\\\"This purchase costs $\\\" + orderCost + \\\".\\\");\\n \\n //display quantites and ordered as well as cost\\n console.log(\\\"YOU HAVE ORDERED\\\")\\n for (var i = 0; i < purchaes.length; i++){\\n console.log(amounts[i] + \\\"|\\\" + purchaes[i]);\\n }\\n console.log(\\\"mYour total cost is \\\" + total + \\\".\\\");\\n\\n\\t\\t\\t// query to update the database\\n\\t\\t\\tupdate = \\\"UPDATE products SET stock_quantity = \\\" + (resultArray[id - 1].stock_quantity - quantity) + \\\", product_sales = \\\" + sales + \\\" WHERE item_id = \\\" + id;\\n\\n\\t\\t\\t// updates the database\\n\\t\\t\\tconnection.query(update, function (error, results, fields) {\\n\\t\\t\\t\\tif (error) {\\n\\t\\t\\t\\t\\tconsole.log(error);\\n\\t\\t\\t\\t};\\n });\\n keepGoing();\\n }\\n })\\n}\",\n \"function go() {\\n inquirer.prompt([\\n {\\n message: \\\"Enter the product id\\\",\\n name: \\\"id_input\\\",\\n type: \\\"input\\\",\\n vaidate: validateNum\\n },\\n {\\n message: \\\"How many units would you like to purchase\\\",\\n name: \\\"amount_input\\\",\\n type: \\\"input\\\",\\n validate: validateNum\\n }\\n]).then(function(answers) {\\n findID(answers);\\n })\\n}\",\n \"function buyItem () {\\n inquirer.prompt([\\n {\\n type:\\\"input\\\",\\n name:\\\"itemSelected\\\",\\n message:\\\"Please type an item id to purchase.\\\"\\n },\\n {\\n type:\\\"input\\\",\\n name:\\\"quantity\\\",\\n message:\\\"How many would you like to purchase?\\\"\\n }\\n ]).then(function (results) {\\n itemSelected = results.itemSelected;\\n quantity = Number(results.quantity);\\n \\n if (itemSelected > 10) {\\n console.log(\\\"Invalid item, please select a new item.\\\")\\n buyItem();\\n }\\n \\n checkItemStock();\\n });\\n}\",\n \"function quantity(res){\\n console.log(\\\" \\\");\\n inquirer.prompt(\\n {\\n name: \\\"purchaseQty\\\",\\n type: \\\"text\\\",\\n message: \\\"How many would you like to purchase?\\\"\\n }\\n )\\n .then(function(answer2) {\\n if (answer2.purchaseQty == 0) {\\n //User selected 0 products to purchase, so exit this question and go back up to the products selection\\n products(res);\\n }\\n else if (answer2.purchaseQty < 1 || answer2.purchaseQty < '1' || answer2.purchaseQty > 999 || answer2.purchaseQty > '999') {\\n //User made invalid selections, so display a message and ask for the quantity again\\n console.log(\\\"\\\\nINVALID ENTRY!\\\".yellow)\\n quantity(res);\\n }\\n else if (selectedStockQty == 0) {\\n //The item selected is out of stock (out of stock items were already not displayed, but this is a safeguard)\\n console.log(\\\"\\\\nSORRY, THAT ITEM IS CURRENTLY OUT OF STOCK!\\\".red);\\n products(res);\\n }\\n else if (answer2.purchaseQty > selectedStockQty) {\\n //User selected a quantity that is greater than what is in stock, so display qhat is in stock, and ask quantity again\\n console.log(\\\"\\\\nSORRY, INSUFFICIENT QUANTITY! \\\".red + selectedStockQty + \\\" in stock. Please enter a lower amount:\\\");\\n quantity(res);\\n }\\n else {\\n //User entered valid quantity, proceed to complete the purchase\\n var selectedPurchaseQty = answer2.purchaseQty;\\n makePurchase(selectedStockQty, selectedPurchaseQty);\\n };\\n });\\n }\",\n \"function purchase(action = \\\"\\\") {\\n if (action == \\\"init\\\") {\\n }\\n\\n // Prompt the user to enter Product's item_id to review detail of the product:\\n inquirer.prompt([\\n {\\n name: \\\"ID\\\",\\n type: \\\"input\\\",\\n message:\\n \\\"Enter the product's item ID to review detail. [Quit with Ctrl+C]\\\",\\n filter: Number,\\n validate: function(val) {\\n return !isNaN(val);\\n }\\n },\\n {\\n name: \\\"qty\\\",\\n type: \\\"input\\\",\\n message: \\\"OK, how many would you like to buy? \\\",\\n filter: Number,\\n validate: function(value) {\\n if (isNaN(value) == false) {\\n return true;\\n } else {\\n return false;\\n }\\n }\\n }\\n ]).then(function(userInput) {\\n connection.query(\\\"SELECT * FROM products WHERE item_id = ?\\\", [userInput.ID], function(err, inventoryRes) {\\n if (err) {\\n console.log(\\\"ERROR: \\\", err);\\n }\\n console.log(\\\"\\\");\\n console.log(\\n \\\"====================\\\",\\n \\\"\\\\nPRODUCT DETAIL: \\\",\\n inventoryRes,\\n \\\"\\\\n====================\\\"\\n );\\n console.log(\\\"\\\");\\n purchaseItem(userInput.ID, userInput.qty);\\n });\\n });\\n // *** This is the end of the function purchase() ***\\n}\",\n \"function promptItemQty() {\\n inquirer.prompt([\\n {\\n name: \\\"quantity\\\",\\n type: \\\"number\\\",\\n message: \\\"Please enter the quantity you would like to order: \\\"\\n }\\n\\n ])\\n .then(function(answer3){\\n if(answer3.quantity > 0){\\n console.log(\\\"Your quantity is: \\\" + answer3.quantity + \\\".\\\\n\\\");\\n itemOneQty = parseInt(answer3.quantity);\\n console.log(\\n \\\">>>Checking inventory...\\\\n\\\");\\n inventoryCheck();\\n }\\n else {\\n console.log(\\\"\\\\nYou didn't enter a quantity\\\\n\\\");\\n retryItemQty();\\n }\\n });\\n}\",\n \"function promptUser() {\\n\\n\\tinquirer.prompt([\\n\\t\\t{\\n\\t\\t\\ttype: 'input',\\n\\t\\t\\tname: 'item_id',\\n\\t\\t\\tmessage: 'Please enter the Item ID of the item you wish to purchase',\\n\\t\\t\\tvalidate: validateInput,\\n\\t\\t\\tfilter: Number\\n\\t\\t},\\n\\t\\t{\\n\\t\\t\\ttype: 'input',\\n\\t\\t\\tname: 'quantity',\\n\\t\\t\\tmessage: 'Please enter quantity',\\n\\t\\t\\tvalidate: validateInput,\\n\\t\\t\\tfilter: Number\\n }\\n ])\\n .then(function(input) {\\n\\n var item = input.item_id;\\n\\t\\tvar quantity = input.quantity;\\n\\n var check_db = 'SELECT * FROM products WHERE ?';\\n\\n connection.query(check_db, {item_id: item}, function(err, data) {\\n if (err) throw err;\\n \\n if (data.length === 0) {\\n\\t\\t\\t\\tconsole.log('Invalid Item ID. Please select a valid Item ID.');\\n\\t\\t\\t\\tproductList();\\n\\n\\t\\t\\t} else {\\n var productData = data[0];\\n \\n if (quantity <= productData.stock_quantity) {\\n\\n var update_db = 'UPDATE products SET stock_quantity = ' + (productData.stock_quantity - quantity) + ' WHERE item_id = ' + item;\\n\\n\\n connection.query(update_db, function(err, data) {\\n\\t\\t\\t\\t\\t\\tif (err) throw err;\\n\\n console.log('Your total is $' + productData.price * quantity);\\n console.log('Thank you for shopping with us!');\\n\\t\\t\\t\\t// End the database connection\\n //connection.end();\\n productList();\\n\\t\\t\\t\\t\\t})\\n\\t\\t\\t\\t} else {\\n console.log('Sorry, the quantity you requested is not in stock.')\\n console.log('Please modify your search and try again')\\n\\t\\t\\t\\t\\tproductList();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t})\\n\\t})\\n}\",\n \"function userItemChoice(inventory){\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"choice\\\",\\n message: \\\"Enter the ID of the item you would like to purchase [exit with q]\\\",\\n\\n // include a way to check if the input is a matching id number with an if/else statement, validate?\\n\\n validate: function(val) {\\n return !isNaN(val) || val.toLowerCase() === \\\"q\\\";\\n }\\n }\\n ]).then(function(val) {\\n\\n // save user quantity input to compare with the stock\\n // turn string into a number\\n\\n quitShopping(val.choice);\\n let chosenItemId = parseInt(val.choice);\\n let itemName = checkInventory(chosenItemId, inventory);\\n\\n // prompt customer with desired quantity if there is a matching product ID in the database from other function\\n // console log if not enough\\n if (itemName) {\\n userQuantityChoice(itemName);\\n } else {\\n console.log(\\\"Sorry, we do not have that item\\\");\\n // send customer back to the product list\\n displayProducts();\\n }\\n });\\n}\",\n \"function start() {\\n inquirer.prompt([ \\n {\\n name: \\\"ID\\\",\\n type: \\\"input\\\",\\n message: \\\"What item would you like to by?\\\", \\n filter:Number\\n },\\n {\\n name:\\\"Quantity\\\",\\n\\t\\ttype:\\\"input\\\",\\n\\t\\tmessage:\\\"How many items do you wish to purchase?\\\",\\n\\t\\tfilter:Number\\n\\t},\\n\\n ]).then(function(answers){\\n \\tvar quantityNeeded = answers.Quantity;\\n \\tvar IDrequested = answers.ID;\\n \\tpurchaseOrder(IDrequested, quantityNeeded);\\n });\\n}\",\n \"function ask() {\\n \\n inquirer\\n .prompt([\\n {\\n name: \\\"chooseItemID\\\",\\n type: \\\"input\\\",\\n message: \\\"What is the ID number of the product you would like to buy?\\\",\\n },\\n {\\n name: \\\"chooseItemQuantity\\\",\\n type: \\\"input\\\",\\n message: \\\"How many would you like to buy?\\\",\\n }\\n ]).then(function (answer) {\\n chosenQuantity = answer.chooseItemQuantity;\\n chosenID = answer.chooseItemID;\\n checkInventory();\\n });\\n \\n}\",\n \"function askCustomer(item) {\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"idpicked\\\",\\n message:\\n \\\"What is the ID of the product you want to buy? || if you changed your mind then exit by tyiping. 'Nevermind'\\\",\\n validate: function (value) {\\n if (value === \\\"Nevermind\\\") {\\n var quitingresponse = \\\"leave my store\\\";\\n } else {\\n var customerwants = parseInt(value);\\n }\\n }.then(function (value) {\\n console.log(\\\"you chose to buy\\\" + value);\\n }),\\n },\\n ]);\\n}\",\n \"function userQuantityChoice(itemName) {\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"quantity\\\",\\n message: \\\"How many would you like?\\\",\\n validate: function(val){\\n return val > 0 || val.toLowerCase() === \\\"q\\\";\\n }\\n }\\n ]).then(function(val) {\\n // turn strin into a number\\n quitShopping(val.quantity);\\n let quantity = parseInt(val.quantity);\\n\\n // loop through the database to check if there if enough inventory of the chosen item\\n if (quantity > itemName.stock_quantity) {\\n console.log(\\\"Sorry, we do not have enough of that item.\\\");\\n displayProducts();\\n } else {\\n purchaseItem(itemName, quantity);\\n }\\n });\\n}\",\n \"function purchase () {\\n // prompting the user what they want and what quantity\\n\\tinquirer.prompt([\\n \\t{\\n \\ttype: \\\"input\\\",\\n \\tname: \\\"item\\\",\\n \\tmessage: \\\"Which item do you want to purchase? (Please type item ID)\\\"\\n \\t}, {\\n \\tname: \\\"quantity\\\",\\n \\ttype: \\\"input\\\",\\n \\tmessage: \\\"How many would you like?\\\"\\n // processing customer purchase\\n \\t}]).then(function(answers) {\\n var item = answers.item;\\n var quantity = answers.quantity;\\n\\n // connecting the the database to check for availability and update stock quantity\\n connection.query(\\\"SELECT stock_quantity, price FROM products WHERE id=\\\" + item, function (err,res) {\\n var stockQuantity = res[0].stock_quantity;\\n var total = res[0].price * quantity;\\n var newStock = stockQuantity - quantity;\\n\\n // if their quantity exceeds the inventory the order does not go through\\n if (newStock < 0){\\n console.log(\\\"Insufficient quantity! Try again.\\\");\\n purchase();\\n }\\n // if the inventory is available, quantity in the database is updated\\n // and the customer is given their total\\n else {\\n connection.query(\\\"UPDATE products SET stock_quantity=\\\" + newStock + \\\"WHERE item_id=\\\" + item, function (err,res) {\\n });\\n console.log(\\\"Success! Your total is $\\\" + total);\\n }\\n\\n });\\n\\t});\\n}\",\n \"function select() {\\n inquirer.prompt({\\n name:\\\"itemToBuy\\\", \\n type: \\\"input\\\",\\n message: \\\"what is the ID number of the item you would like to buy\\\"\\n }).then(function(answer){\\n currentItemId = answer.itemToBuy;\\n connection.query(\\n \\\"SELECT * FROM products WHERE ?\\\", [{\\n item_id: answer.itemToBuy\\n }],\\n function(error, results){\\n if(error) throw error;\\n var product = results[0].product_name;\\n var price = results[0].price;\\n currentQuantity = parseInt(results[0].stock_quantity);\\n if(parseInt(results[0].stock_quantity) <= 0){\\n console.log(\\\"Sorry. Out of stock.\\\");\\n select();\\n }\\n confirm(product, price);\\n }\\n )\\n \\n //Validator function. Does not return anything other than undfined for now. \\n /*if(validator(currentItemId)){\\n } else {\\n console.log(\\\"that item ID does not exist\\\");\\n end();\\n }*/\\n\\n });\\n}\",\n \"function purchaserQuery() {\\n\\tinquirer.prompt([\\n\\t{\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tname: \\\"query\\\",\\n\\t\\tmessage: \\\"Input the item ID you wish to purchase.\\\",\\n\\t\\t//Prevents the app from accepting non-numerical inputs\\n\\t\\tvalidate: function(res) {\\n\\t\\t\\tif (isNaN(res) === false) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t\\tconsole.log(\\\"You need to enter a valid numerical ID.\\\");\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t},\\n\\t{\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tname: \\\"quantity\\\",\\n\\t\\tmessage: \\\"How many of this item will you purchase?\\\",\\n\\t\\tvalidate: function(res) {\\n\\t\\t\\tif (isNaN(res) === false) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t\\tconsole.log(\\\"You need to enter a valid numerical amount.\\\");\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t}\\n\\t]).then(function(info) {\\n\\tvar item = info.query;\\n\\tvar quantity = info.quantity;\\n\\t//This grabs information from the MySQL database to assign as useable variables\\n\\tconnection.query(\\\"SELECT * FROM products WHERE item_id = ? \\\", item, function(err, res) {\\n\\t\\t\\tif (err) throw err;\\n\\t\\t\\tvar department = res[0].department_name;\\n\\t\\t\\tvar stock = res[0].stock_quantity;\\n\\t\\t\\tif (stock >= quantity) {\\n\\t\\t\\t\\tvar stockTotal = stock - quantity;\\n\\t\\t\\t\\tvar price = res[0].price;\\n\\t\\t\\t\\tvar cost = quantity * price;\\n\\t\\t\\t\\t//Alters the information within the database to reflect customer selections\\n\\t\\t\\t\\tconnection.query(\\\"UPDATE departments SET ? WHERE ?\\\", [{total_sales: cost}, {department_name: department}], function(err, res) {});\\n\\t\\t\\t\\t//Represents the user's \\\"Shopping cart\\\"\\n\\t\\t\\t\\trunningTotal = runningTotal + cost;\\n\\t\\t\\t\\tconsole.log(\\\"Your total comes to $\\\" + runningTotal);\\n\\t\\t\\t\\t//Changes the quantity available after user check-out\\n\\t\\t\\t\\tconnection.query(\\\"UPDATE products SET ? WHERE ?\\\", [{stock_quantity: stockTotal}, {item_id: item}], function(err, res) {});\\n\\t\\t\\t\\t//Option to disconnect from server and end application\\n\\t\\t\\t\\tinquirer.prompt([\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\ttype: \\\"confirm\\\",\\n\\t\\t\\t\\t\\t\\tname: \\\"complete\\\",\\n\\t\\t\\t\\t\\t\\tmessage: \\\"Have you finished shopping?\\\"\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t]).then(function(info){\\n\\t\\t\\t\\t\\tvar complete = info.complete;\\n\\n\\t\\t\\t\\t\\tif (complete) {\\n\\t\\t\\t\\t\\t\\tconsole.log(\\\"Thank you for shopping with the Bamazon Bookstore.\\\");\\n\\t\\t\\t\\t\\t\\tconnection.end();\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\trunProcess();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t});\\n\\t\\t\\t//If the item is out-of-stock, the user will be prompted back to start.\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tconsole.log(\\\"Insufficient quantity!\\\");\\n\\t\\t\\t\\trunProcess();\\n\\t\\t\\t}\\n\\t\\t});\\n\\t});\\n}\",\n \"function promptBuyer() {\\n\\n // Prompt buyer to select an item by id\\n console.log(` \\n ______ \\n (____ \\\\ \\n ____) ) ____ ____ ____ _____ ___ ____ \\n | __ ( / _ | \\\\ / _ (___ ) _ \\\\| _ \\\\ \\n | |__) | ( | | | | ( ( | |/ __/ |_| | | | |\\n |______/ \\\\_||_|_|_|_|\\\\_||_(_____)___/|_| |_| \\\\n\\n \\\\n-------------------------------------------------------------------\\\\n`);\\n\\n inquirer.prompt([\\n {\\n type: 'input',\\n name: 'item_id',\\n message: 'Please enter the ID of the Desired Item.',\\n validate: validNumber,\\n filter: Number\\n },\\n {\\n type: 'input',\\n name: 'quantity',\\n message: 'How many such items do you require?',\\n validate: validNumber,\\n filter: Number\\n }\\n ]).then(function (input) {\\n\\n const item = input.item_id;\\n const quantity = input.quantity;\\n\\n // Query db to confirm that the given item ID exists in the desired quantity\\n let querySelect = 'SELECT * FROM products WHERE ?';\\n\\n connection.query(querySelect, { item_id: item }, function (err, data) {\\n if (err) throw err;\\n\\n if (data.length === 0) {\\n console.log('ERROR: Invalid Item ID. Please select a valid Item ID.');\\n displayInventory();\\n\\n } else {\\n const productData = data[0];\\n\\n // If the quantity requested by the user is in stock\\n if (quantity <= productData.stock_quantity) {\\n console.log('Success, the product is available in this quantity! << Order Confirmed! >>');\\n\\n // Construct the updating query string\\n const updatequerySelect = 'UPDATE products SET stock_quantity = ' + (productData.stock_quantity - quantity) + ' WHERE item_id = ' + item;\\n\\n // Update the inventory\\n connection.query(updatequerySelect, function (err, data) {\\n if (err) throw err;\\n\\n console.log('\\\\n---------------------------------------------------------------------\\\\n'\\n + 'Order Placed! Your total is $' + productData.price * quantity\\n + '\\\\n---------------------------------------------------------------------\\\\n'\\n + '\\\\n Thank you for choosing Bamazon! \\\\n');\\n // End the db connection\\n connection.end();\\n })\\n } else {\\n console.log('\\\\n---------------------------------------------------------------------\\\\n'\\n + 'Sorry, there is not enough product in stock, your order can not be placed as is. \\\\n Please modify your order.'\\n + '\\\\n---------------------------------------------------------------------\\\\n');\\n //display inventory again\\n displayInventory();\\n }\\n }\\n })\\n })\\n}\",\n \"function shoppingCart(res) {\\n inquirer\\n .prompt([\\n {\\n name: \\\"id\\\",\\n type: \\\"input\\\",\\n message: \\\"\\\\nUse Item Id to Select Product.\\\"\\n },\\n {\\n name: \\\"quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"\\\\nPlease enter number of units to purchase.\\\\n\\\"\\n }\\n ])\\n .then(function(data) {\\n id = data.id;\\n quantity = data.quantity;\\n stockQuantity(data.id, data.quantity);\\n });\\n}\",\n \"function userInput(){\\n\\tinquirer.prompt([\\n\\t{\\n\\t\\tname: \\\"id\\\",\\n\\t\\ttype: \\\"list\\\",\\n\\t\\tmessage: \\\"What product would you like to buy?\\\",\\n\\t\\tchoices: choicesArray\\n\\t},\\n\\t{\\n\\t\\tname: \\\"quantity\\\",\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tmessage: \\\"How many would you like to purchase?\\\"\\n\\t}\\n\\t]).then(function(answer){\\n\\t\\t//splitting our id from product name\\n\\t\\tvar splitId = answer.id.split(\\\":\\\");\\n\\t\\t//storing only the id in a variable\\n\\t\\tvar getId = splitId[0];\\n\\t\\t//storing how much the user would like to purchase\\n\\t\\tvar userQuantity = answer.quantity;\\n\\t\\t//querying the database to get item id, quantity, and price\\n\\t\\tconnection.query(\\\"SELECT item_id, stock_quantity, price FROM products\\\", function(error, results){\\n\\t\\t\\tif(error){\\n\\t\\t\\t\\tconsole.log(error);\\n\\t\\t\\t}else{\\n\\t\\t\\t\\t//looping through our products table\\n\\t\\t\\t\\tfor(var i = 0; i < results.length; i++){\\n\\t\\t\\t\\t\\t//if the product choosen's id matches an id in our databse and its quantity is less than the quantity in our database, user may purchase the item(s)\\n\\t\\t\\t\\t\\tif(getId == results[i].item_id && userQuantity < results[i].stock_quantity){\\n\\t\\t\\t\\t\\t\\t//storing database product quantity\\n\\t\\t\\t\\t\\t\\tvar productQuantity = results[i].stock_quantity;\\n\\t\\t\\t\\t\\t\\t//storing database product price\\n\\t\\t\\t\\t\\t\\tvar productPrice = results[i].price;\\n\\t\\t\\t\\t\\t\\t//multiplying how many products the user wants to the price of each item\\n\\t\\t\\t\\t\\t\\tvar userPrice = userQuantity * productPrice;\\n\\t\\t\\t\\t\\t\\t//updating our quantity by subtracting how much our user chooses and how much is in our database\\n\\t\\t\\t\\t\\t\\tvar newQuantity = productQuantity - userQuantity;\\n\\t\\t\\t\\t\\t\\t//calling our transaction function and passing it updated product quantity, price, and product id\\n\\t\\t\\t\\t\\t\\ttransaction(newQuantity, userPrice, getId);\\n\\t\\t\\t\\t\\t};\\n\\t\\t\\t\\t\\t//if the user chooses a quantity higher than what is in our database, we will let them know\\n\\t\\t\\t\\t\\tif(getId == results[i].item_id && userQuantity > results[i].stock_quantity){\\n\\t\\t\\t\\t\\t\\tconsole.log(\\\"We don't have enough in stock.\\\" + \\\"\\\\nPlease lower quantity.\\\");\\n\\t\\t\\t\\t\\t};\\n\\t\\t\\t\\t};\\n\\t\\t\\t};\\n\\t\\t});\\n\\t});\\n}\",\n \"function Buy_Prompt() {\\n inquirer.prompt([\\n // Here we create an input text prompt for getting the ITEM ID.\\n {\\n type: \\\"input\\\",\\n message: \\\"Please enter the ID of the product you would like to buy.\\\",\\n name: \\\"ITEM_ID\\\",\\n filter: Number\\n },\\n // Here we create an input text prompt for getting the quantity the user wants to buy.\\n {\\n type: \\\"input\\\",\\n message: \\\"How many items would you like to buy?\\\",\\n name: \\\"BUY_QUANTITY\\\",\\n filter: Number\\n },\\n ]).then(function (inquirerResponse) {\\n var buyQuantity = inquirerResponse.BUY_QUANTITY;\\n var item = inquirerResponse.ITEM_ID;\\n customerOrder(item, buyQuantity);\\n });\\n}\",\n \"function queryCustomer()\\n{\\n inquirer.prompt([\\n {\\n name: \\\"item\\\",\\n type: \\\"input\\\",\\n message: \\\"What is the item ID you would like to purchase?\\\",\\n validate: function(value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n },\\n {\\n name: \\\"quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"How many units would you like to purchase?\\\",\\n validate: function(value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n }]).then(function(answer) {\\n processOrder(answer.item, answer.quantity);\\n });\\n}\",\n \"function select() {\\n inquirer\\n .prompt([\\n // Here we create a basic text prompt.\\n {\\n // ask for product id\\n type: \\\"input\\\",\\n message: \\\"What ID # would you like to purchase?\\\",\\n name: \\\"select\\\",\\n },\\n\\n {\\n // ask for quanitity\\n type: \\\"input\\\",\\n message: \\\"How many would you like to purchase?\\\",\\n name: \\\"amount\\\"\\n },\\n\\n ])\\n // confirm their purchase\\n .then(function(input) {\\n var userInput = input.select;\\n var userQuantity = input.amount;\\n // check for id number to be between 1 and 10\\n if (input.select >= 1 && input.select <= 20) {\\n console.log(\\\"You have selected \\\" + userQuantity + \\\" of item id \\\" + userInput + \\\".\\\");\\n \\n connection.query(\\\"SELECT * FROM products\\\", function(err, res) {\\n // var to subtract user quanitity from database\\n var subtract = ((res[userInput - 1].quantity)-userQuantity)\\n if (err) throw err;\\n // Log all results of the SELECT statement\\n if (userQuantity <= res[userInput - 1].quantity){\\n console.log(\\\"Thank you for your purchase! Your total is $\\\" + userQuantity * (res[userInput - 1].price) + \\\".\\\");\\n var query = connection.query(\\n // update quantity by id\\n \\\"UPDATE products SET ? WHERE ?\\\",\\n [\\n {\\n quantity: subtract\\n },\\n {\\n id: userInput\\n }\\n ],\\n function(err, res) {\\n // end of update function message\\n console.log(\\\" Have A Great Day!\\\\n\\\");\\n connection.end();\\n }\\n );\\n }\\n else {\\n // messeage if quantity is not available, reset to select function\\n console.log(\\\"Sorry, we only have \\\" + res[userInput - 1].quantity + \\\" of this item.\\\")\\n select();\\n }\\n });\\n }\\n else {\\n // message if id is not an DataTransferItem, reset to select function\\n console.log(\\\"Please pick an item number in the inventory.\\\");\\n select();\\n }\\n })\\n .catch(function(err){\\n console.log(err);\\n });\\n \\n}\",\n \"function productSelection(){\\n inquirer.prompt([\\n {\\n name: \\\"id\\\",\\n message: \\\"What product do you want? Provide the Item id:\\\"\\n },\\n {\\n name: \\\"quantity\\\",\\n message: \\\"How Many Do you Want?\\\"\\n },\\n {\\n type: \\\"confirm\\\",\\n name: \\\"confirm\\\",\\n message: \\\"Are you sure?\\\",\\n default: true\\n }\\n ]).then(answers=>{\\n // console.log(\\\"Item ID:\\\", answers.id);\\n // console.log(\\\"Quantity:\\\", answers.quantity);\\n if(answers.confirm){\\n inventoryUpdate(answers.id, answers.quantity);\\n }\\n else{\\n displayProducts();\\n }\\n });\\n}\",\n \"function addNewProduct() {\\n console.log(\\\"\\\\nFantastic, let's add a new product! To get started let's answer a few questions:\\\\n\\\")\\n inquirer\\n .prompt([\\n // Here we create a basic text prompt.\\n {\\n type: \\\"input\\\",\\n message: \\\"What is the product name?\\\",\\n name: \\\"prodName\\\", \\n // validate: function validateID(name){\\n \\n // if(isNaN(name)===true){\\n // console.log('\\\\nBe sure to specify the correct ID as a number!')\\n // return false;\\n // }\\n // else if(name === \\\"\\\"){\\n // console.log('\\\\nBe sure to specify the correct ID as a number!')\\n // return false;\\n // }\\n // else {\\n // return true;\\n // }\\n // }\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"What is the department Name it falls under?\\\",\\n name: \\\"deptName\\\", \\n // validate: function validateID(name){\\n \\n // if(isNaN(name)===true){\\n // console.log('\\\\nBe sure to specify the correct ID as a number!')\\n // return true;\\n // }\\n // else if(name === \\\"\\\"){\\n // console.log('\\\\nBe sure to specify a text based department name!')\\n // return false;\\n // }\\n // else {\\n // return true;\\n // }\\n // }\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"What is the price of the item?\\\",\\n name: \\\"price\\\", \\n validate: function validateID(name){\\n \\n if(isNaN(name)===true){\\n console.log('\\\\nBe sure to specify the correct ID as a number!')\\n return false;\\n }\\n else if(name === \\\"\\\"){\\n console.log('\\\\nBe sure to specify the correct ID as a number!')\\n return false;\\n }\\n else {\\n return true;\\n }\\n }\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"How many are in stock?\\\",\\n name: \\\"stockQTY\\\", \\n validate: function validateID(name){\\n \\n if(isNaN(name)===true){\\n console.log('\\\\nBe sure to specify the correct ID as a number!')\\n return false;\\n }\\n else if(name === \\\"\\\"){\\n console.log('\\\\nBe sure to specify the correct ID as a number!')\\n return false;\\n }\\n else {\\n return true;\\n }\\n }\\n },\\n\\n ])\\n .then(function(response) {\\n var buildProd = response.prodName; \\n var buildDept = response.deptName;\\n var buildPrice = response.price; \\n var buildStock = response.stockQTY; \\n \\n var query = connection.query(\\\"INSERT INTO products (Product_Name, Dept_Name, Price, Stock_Qty) VALUES (?, ?, ?, ?);\\\",[buildProd, buildDept, buildPrice, buildStock],function(err, res) {\\n if (err) throw err;\\n console.log(\\\"\\\\nCongrats on adding a new product! Here is your product with the rest!\\\")\\n viewProducts();\\n \\n\\n });\\n});\\n\\n}\",\n \"function displayPurchase(stock) {\\n inquirer\\n .prompt([\\n {\\n name: \\\"id\\\",\\n type: \\\"input\\\",\\n message: \\\"What is the ID of the product you would like to buy?\\\",\\n\\n },\\n {\\n name: \\\"units\\\",\\n type: \\\"input\\\",\\n message: \\\"How many units of the product you would like to buy?\\\",\\n validate: function (value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n }\\n ])\\n .then(function (answer) {\\n let choice = stock.find(item => item.item_id === parseInt(answer.id))\\n // Subtract thhe amount that I want from the amount that I have\\n let new_quant = choice.stock_quantity - answer.units\\n // If I have enough to give, give it and update\\n if (new_quant >= 0) {\\n // Amount chosen times unit price\\n let total = choice.price * answer.units\\n console.log(\\\"You spend : $\\\" + parseFloat(total, 2));\\n // when finished prompting, insert a new item into the db with that info\\n connection.query(\\n `UPDATE bamazon.products SET stock_quantity = ${new_quant} WHERE item_id =${answer.id}`,\\n function (err) {\\n if (err) throw err;\\n console.log(\\\"Your purchase was created successfully!\\\");\\n // re-prompt the user for if they want to bid or post\\n start();\\n }\\n );\\n } else {\\n console.log(\\\"Insuficient amount!\\\")\\n start();\\n }\\n });\\n\\n}\",\n \"function prompt() {\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n message: \\\"What is the ID of the item you'd like to order?\\\",\\n name: \\\"userPick\\\",\\n filter: Number\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"How many do you want?\\\",\\n name: \\\"amount\\\",\\n filter: Number\\n }\\n \\n ]).then(function (result) {\\n //console.log(result.userPick);\\n //console.log(result.amount);\\n productID = result.userPick;\\n\\n\\n //grabbing the number that users put for id and quantity and using it for the next function \\n var query = \\\"SELECT * FROM products WHERE item_id = ?\\\";\\n connection.query(query, [productID], function (err, res) {\\n if (err) throw err;\\n\\n quantityFinal = res[0].stock_quantity - result.amount;\\n\\n if (quantityFinal < 0 || result.amount > res[0].stock_quantity) {\\n console.log(\\\"Sorry, we can't do that! Talk to our manager!\\\");\\n prompt();\\n } else {\\n console.log(\\\"You ordered \\\" + result.amount + \\\" \\\" + (chalk.blue(res[0].product_name)) + \\\".\\\\n Thank you, that wil be $\\\" + (chalk.black.bgGreen(result.amount * res[0].price)) + \\\".\\\"\\n );\\n updateProduct(quantityFinal, productID);\\n }\\n\\n })\\n })\\n}\",\n \"function buyProduct(amount, product_id, price) {\\n inquirer\\n .prompt([\\n {\\n type: \\\"input\\\",\\n message: \\\"How Many?\\\",\\n name: \\\"amount\\\",\\n validate: value => {\\n let valid = !isNaN(parseFloat(value));\\n return valid || \\\"Please Enter Item ID #\\\";\\n }\\n }\\n ])\\n .then(res => {\\n if (amount > res.amount) {\\n console.log(\\\"SUCCESS\\\");\\n totalPrice(res.amount, price);\\n updateStock(res.amount, product_id, amount);\\n } else {\\n console.log(\\\"Out of stock!\\\");\\n buyProduct(amount, product_id, price);\\n }\\n });\\n}\",\n \"function pickItemId() {\\n inq.prompt([{\\n type: 'input',\\n name: 'whatId',\\n message: '\\\\nPlease enter the ID of the item you would like to purchase'\\n }]).then(function(inqRes) {\\n connection.query(\\\"SELECT * FROM products WHERE item_id =\\\" +\\n \\\"'\\\" + inqRes.whatId + \\\"'\\\",\\n function(err, res) {\\n // If there's an error log it\\n if (err) {\\n console.log(err);\\n } else\\n // If The response is not an empty array\\n if (res.length > 0) {\\n console.log(\\\"You have selected: \\\" +\\n res[0].product_name + ' $' + res[0].price + '.00 ' +\\n \\\"each \\\" + res[0].stock_quantity + \\\" left\\\");\\n itemChosen = inqRes.whatId;\\n itemQuantity = res[0].stock_quantity;\\n itemPrice = res[0].price;\\n chooseQuantity();\\n }\\n // If the response is an empty array i.e. not a valid ID\\n else {\\n console.log(\\\"Sorry, this is not a valid ID please try again\\\");\\n pickItemId();\\n }\\n });\\n });\\n}\",\n \"function whatToBuy(){\\n\\tinquirer.prompt([\\n\\t\\t\\t{\\n\\t\\t\\t\\tname:\\\"item\\\",\\n\\t\\t\\t\\ttype:\\\"list\\\",\\n\\t\\t\\t\\tmessage: \\\"Select the name of the item you would like to purchase:\\\", \\n\\t\\t\\t\\tchoices: [\\n\\t\\t\\t\\t\\\"purple wig\\\",\\n\\t\\t\\t\\t\\\"round glasses\\\",\\n\\t\\t\\t\\t\\\"red blazer\\\",\\n\\t\\t\\t\\t\\\"black biker shorts\\\",\\n\\t\\t\\t\\t\\\"red gown\\\",\\n\\t\\t\\t\\t\\\"silver ring\\\", \\n\\t\\t\\t\\t\\\"princess puppet\\\",\\n\\t\\t\\t\\t\\\"pink wig\\\",\\n\\t\\t\\t\\t\\\"stuffed cow\\\",\\n\\t\\t\\t\\t\\\"sports car\\\"\\n\\t\\t\\n\\t\\t\\t]},\\n\\t\\t\\t{\\n\\t\\t\\t\\tname:\\\"itemNum\\\",\\n\\t\\t\\t\\ttype:\\\"input\\\",\\n\\t\\t\\t\\tmessage: \\\"What is your item's ID?\\\",\\n\\t\\t\\t\\tvalidate: function(value){\\n\\t\\t\\t\\t\\tif(isNaN(value) === false){\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\t}\\n\\t\\t\\t},\\n\\n\\t\\t\\t{\\n\\t\\t\\t\\tname:\\\"amount\\\",\\n\\t\\t\\t\\ttype:\\\"input\\\",\\n\\t\\t\\t\\tmessage: \\\"How many would you like to buy?\\\",\\n\\t\\t\\t\\tvalidate: function(value){\\n\\t\\t\\t\\t\\tif(isNaN(value) === false){\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\treturn false;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\t// ,\\n\\t\\t\\t// // { //optional confirm feature \\n\\t\\t\\t// \\ttype: \\\"confirm\\\",\\n\\t\\t\\t// \\tmessage: \\\"Is that your final amount?\\\",\\n\\t\\t\\t// \\tname:\\\"confirm\\\",\\n\\t\\t\\t// \\tdefault: true\\n\\t\\t\\t// }\\n\\t\\t])\\n\\t\\t.then(function(response){\\n\\t\\t\\t//double check to see what the response confirms about the order \\n\\t\\t\\t// console.log(response);\\n\\t\\t\\t// //name\\n\\t\\t\\t// console.log(response.item);\\n\\t\\t\\t// //item's id\\n\\t\\t\\t// console.log(response.itemNum);\\n\\t\\t\\t// //amount ordered\\n\\t\\t\\t// console.log(response.amount);\\n\\t\\t\\t\\n\\t\\t\\t//query to be sure the database has the item in stock \\n\\t\\t\\tconnection.query(\\\"SELECT stock_quantity FROM products WHERE item_id=\\\" + response.itemNum, function (error, data){\\n\\t\\t\\t\\t//returns the stock_quantity of the item_id from above as data\\n\\t\\t\\t\\t// console.log(data);\\n\\t\\t\\t\\t// console.log(response.amount);\\n\\t\\t\\t\\t// console.log(data[0].stock_quantity);\\n\\t\\t\\t\\tif (error) throw error;\\n\\t\\t\\t\\t//if not an error, then see if the data from the query is greater than the response.amount\\n\\t\\t\\t\\t\\tif(data[0].stock_quantity >= response.amount){\\n\\t\\t\\t\\t\\t\\tconsole.log(\\\"You are in luck; enjoy your item!\\\");\\n\\t\\t\\t\\t\\t\\t//update the amount of product left in the stock_quantity column\\n\\t\\t\\t\\t\\t\\t//query to update the database to make sure the amount of stock_quantity goes down by the response.amount\\n\\t\\t\\t\\t\\t\\tconnection.query(\\\"UPDATE products SET stock_quantity = stock_quantity -\\\" + response.amount +\\\" WHERE item_id=\\\" + response.itemNum, function(error, data){\\n\\t\\t\\t\\t\\t\\t\\tif(error) throw error;\\n\\t\\t\\t\\t\\t\\t\\t//show the price to the customer for that item data here is an ok packet with affectedRows and messaage\\n\\t\\t\\t\\t\\t\\t\\t// console.log(data);\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t//open another query to reveal the price for the item-- have to multiply by the response.amount to get total price\\n\\t\\t\\t\\t\\t\\t\\tconnection.query(\\\"SELECT price FROM products WHERE item_id=\\\" + response.itemNum, function(error, data){\\n\\t\\t\\t\\t\\t\\t\\t\\t// console.log(JSON.stringify(data));\\n\\t\\t\\t\\t\\t\\t\\t\\t//console.log(JSON.parse(data));\\n\\t\\t\\t\\t\\t\\t\\t\\tif(error) throw error;\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t//data come from the rowdatapacket array/objects to give me the price for that response.itemNum \\n\\t\\t\\t\\t\\t\\t\\t\\t\\tnewPrice = data[0].price;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\ttotalPrice = response.amount * newPrice;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tconsole.log(\\\"You ordered: \\\" + response.amount);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tconsole.log(\\\"Your total is: $\\\" + totalPrice);\\n\\t\\t\\t\\t\\t\\t\\t\\tconsole.log(\\\"Thank you for using Bamazon! Make your next purchase below!\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\twhatToBuy();\\n\\t\\t\\t\\t\\t\\t\\t\\t})\\n\\t\\t\\t\\t\\t\\t\\t})\\n\\t\\t\\t\\t\\t}\\t\\n\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\tconsole.log(\\\"There was not enough stock; please try your purchase again with another item.\\\");\\n\\t\\t\\t\\t\\t\\twhatToBuy();\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t})\\n\\t\\t\\t\\n\\t\\t});\\n}\",\n \"function chooseQuantity() {\\n inq.prompt([{\\n type: 'input',\\n name: 'quantity',\\n message: '\\\\nPlease enter the number of units to add',\\n }]).then(function(inqRes) {\\n // This value is for later use\\n quantityToAdd = parseInt(inqRes.quantity);\\n // This value is for updating the database with remaining quantity\\n updatedQuantity = quantityToAdd + itemQuantity;\\n // This calculates the total cost\\n connection.query(\\\"SELECT * FROM products WHERE item_id=\\\" +\\n \\\"'\\\" + itemChosen + \\\"'\\\",\\n function(err, res) {\\n if (err) {\\n console.log(err);\\n } else {\\n connection.query(\\\"UPDATE products SET stock_quantity =\\\" + \\\"'\\\" +\\n updatedQuantity + \\\"'\\\" + \\\"WHERE item_id =\\\" + \\\"'\\\" + itemChosen +\\n \\\"'\\\");\\n console.log(\\\"Add Inventory Successful!\\\");\\n isActionDone = true;\\n printTable();\\n }\\n });\\n });\\n }\",\n \"function promptCustomerForQuantity(product) {\\n\\tinquirer\\n\\t .prompt([\\n\\t\\t{\\n\\t\\t type: \\\"input\\\",\\n\\t\\t name: \\\"quantity\\\",\\n\\t\\t message: \\\"How many would you like? [Quit with Q]\\\",\\n\\t\\t validate: function(val) {\\n\\t\\t\\treturn val > 0 || val.toLowerCase() === \\\"q\\\";\\n\\t\\t }\\n\\t\\t}\\n\\t ])\\n\\t .then(function(val) {\\n\\t\\t// Check if the user wants to quit the program\\n\\t\\tcheckIfShouldExit(val.quantity);\\n\\t\\tvar quantity = parseInt(val.quantity);\\n \\n\\t\\t// If there isn't enough of the chosen product and quantity, let the user know and re-run loadProducts\\n\\t\\tif (quantity > product.stock_quantity) {\\n\\t\\t console.log(\\\"\\\\nInsufficient quantity!\\\");\\n\\t\\t displayProducts();\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t // Otherwise run makePurchase, give it the product information and desired quantity to purchase\\n\\t\\t makePurchase(product, quantity);\\n\\t\\t}\\n\\t });\\n }\",\n \"function customerPrompt(res) {\\n\\tinquirer.prompt([{\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tname: \\\"selection\\\",\\n\\t\\tmessage: \\\"What is the id of the product you wnat to buy?\\\"\\n\\t},\\n\\t{\\n\\t\\ttype: \\\"input\\\",\\n\\t\\tname: \\\"quantity\\\",\\n\\t\\tmessage: \\\"How many do you want to buy?\\\"\\n\\t}]).then(function order) {\\n\\t\\tvar quantity = order.quantity;\\n\\t\\tvar itemId = order.id;\\n\\t\\tdbConnection.query(\\\"SELECT * FROM products where id=\\\" itemID, function(err, selectedItem) {\\n\\t\\t\\tif (err) throw err;\\n\\t\\t\\t if (selectedItem[0])\\n\\t\\t};\\n\\t}\\n}\",\n \"function promptQuantity() {\\n inquirer\\n .prompt({\\n name: \\\"quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"How many would you like\\\",\\n \\n // validates that the answer is a number\\n validate: function (value) {\\n quantPass = value; \\n if (quantPass > 0) {\\n \\n return true;\\n }\\n else {\\n return \\\"This is not a number. Try again\\\";\\n }\\n }\\n \\n }).then(function (answer) {\\n \\n // quantPass is a string, so it's then turned into an int\\n quantPass = parseInt(quantPass);\\n \\n // This selects all the rows from the table (\\\"products\\\") that has the id of the answerID\\n connection.query(\\\"SELECT * FROM products WHERE item_id = \\\" + answerId,\\n function (err, results) {\\n \\n /* The results are therefor the row that corresponds to that id,\\n and we assign a variable to the stock_quantity value it contains*/\\n var quantInStock = results[0].stock_quantity\\n \\n if (err) {\\n throw err;\\n }\\n /* ----If there are no errors and quantPass (amount requested) is \\n less than or equal to the following happens-----*/\\n \\n // Checks to make sure there is enough in stock\\n else if (!err && quantPass <= quantInStock) {\\n \\n // -----------Get total cost------------\\n // Gets price of product and puts into a variable\\n let price = results[0].price\\n \\n // Gets quantity chosen and multiplies by cost for total cost\\n let totalCost = quantPass * price;\\n \\n // Display the order confirmation an total cost);\\n console.log(\\\"You want \\\" + chalk.bold.yellow(quantPass) + \\\" of item \\\" + chalk.bold.yellow(answerId));\\n console.log(chalk.bold.green(\\\"Your order has been placed.\\\"));\\n console.log(chalk.bold.green(\\\"Your total cost is: \\\" + \\\"$\\\" + totalCost));\\n console.log(\\\"--------------------------------------\\\");\\n \\n // updateTable is fired\\n updateTable(answerId)\\n \\n\\n }\\n /* If there isn't enough in stock, then notification is given and \\n promptQuantity is refired*/\\n else if (!err && quantPass > quantInStock) {\\n console.log(chalk.bold.red(\\\"Not enough in stock. Choose a lower number.\\\"));\\n console.log(\\\"--------------------------------------\\\");\\n promptQuantity()\\n };\\n\\n \\n });\\n\\n\\n });\\n\\n}\",\n \"function promptManagerForQuantity(product) {\\n inquirer\\n .prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"quantity\\\",\\n message: \\\"How many would you like to add?\\\",\\n validate: function(val) {\\n return val > 0;\\n }\\n }\\n ])\\n .then(function(val) {\\n var quantity = parseInt(val.quantity);\\n addQuantity(product, quantity);\\n });\\n}\",\n \"function selectProduct() {\\n inquirer.prompt([\\n {\\n name: \\\"enterID\\\",\\n message: \\\"Please enter the ID of the item you'd like to purchase.\\\",\\n type: \\\"input\\\",\\n validate: function(value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n },\\n {\\n name: \\\"quantity\\\",\\n message: \\\"How many would you like to purchase?\\\",\\n type: \\\"input\\\",\\n validate: function(value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n }\\n ]).then(function(inquirerResponse) {\\n connection.query(\\n \\\"Select stock_quantity, price, product_name FROM products WHERE ?\\\",\\n [\\n { \\n item_id: inquirerResponse.enterID\\n },\\n ], \\n function(err, res) {\\n if (err) throw err;\\n\\n let enteredID = inquirerResponse.enterID;\\n let enteredQuantity = inquirerResponse.quantity;\\n\\n let stock = res[0].stock_quantity;\\n let price = res[0].price;\\n let product = res[0].product_name;\\n\\n if (stock >= inquirerResponse.quantity) {\\n buyProduct(stock, price, product, enteredID, enteredQuantity);\\n }\\n else {\\n console.log(\\\"------\\\")\\n console.log(\\\"Sorry, there aren't enough of those in stock.\\\")\\n orderAgain();\\n }\\n }\\n\\n )\\n })\\n}\",\n \"function userChoice(){\\n inquirer\\n .prompt([\\n { \\n type: \\\"input\\\",\\n message: \\\"Enter the product number of the item you want: \\\",\\n name: \\\"product\\\"\\n },\\n { \\n type: \\\"input\\\",\\n message: \\\"Enter the quantity you would like to purchase: \\\",\\n name: \\\"quantity\\\"\\n }\\n ])\\n .then(function(inqRes){\\n // console.log(\\\"PN: \\\" + inqRes.product + \\\"\\\\nQT: \\\" + inqRes.quantity);\\n checkInventory(inqRes.product, inqRes.quantity);\\n });\\n}\",\n \"function chooseQuantity() {\\n inq.prompt([{\\n type: 'input',\\n name: 'quantity',\\n message: '\\\\nPlease enter the quantity you would like to purchase',\\n }]).then(function(inqRes) {\\n // This value is for later use\\n quantityRequested = inqRes.quantity;\\n // This value is for updating the database with remaining quantity\\n updatedQuantity = itemQuantity - quantityRequested;\\n // This calculates the total cost\\n totalCost = inqRes.quantity * itemPrice;\\n connection.query(\\\"SELECT * FROM products WHERE item_id=\\\" +\\n \\\"'\\\" + itemChosen + \\\"'\\\",\\n function(err, res) {\\n if (err) {\\n console.log(err);\\n } else if (quantityRequested <= itemQuantity) {\\n connection.query(\\\"UPDATE products SET stock_quantity =\\\" + \\\"'\\\" +\\n updatedQuantity + \\\"'\\\" + \\\"WHERE item_id =\\\" + \\\"'\\\" + itemChosen +\\n \\\"'\\\");\\n console.log(\\\"Purchase Successful! \\\" + \\\"Total Cost of Purchase: \\\" +\\n \\\"$\\\" + totalCost);\\n isPurchaseMade = true;\\n printTable();\\n } else if(quantityRequested > itemQuantity) {\\n console.log(\\\"Sorry, We don't have that much in stock right now\\\");\\n pickItemId();\\n }\\n });\\n });\\n}\",\n \"function addToInventory() {\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"id\\\",\\n message: \\\"Input ID of item to restock:\\\",\\n validate: function (input) {\\n if (Number.isInteger(parseFloat(input)) && 1 <= input && input <= numProducts) {\\n return true;\\n }\\n\\n console.log(\\\" Invalid ID\\\");\\n }\\n },\\n {\\n type: \\\"input\\\",\\n name: \\\"numExtraItems\\\",\\n message: \\\"Input number of additional items to purchase:\\\",\\n validate: function (input) {\\n if (Number.isInteger(parseFloat(input)) && input >= 0) {\\n return true;\\n }\\n\\n console.log(\\\" Invalid quantity\\\");\\n }\\n }\\n ]).then(function (answers) {\\n //console.log(answers);\\n var query = \\\"UPDATE products SET stock_quantity=? WHERE item_id=?\\\";\\n var id = answers.id;\\n var numExtraItems = parseInt(answers.numExtraItems);\\n\\n restock(id, numExtraItems);\\n });\\n}\",\n \"function start() {\\n inquirer\\n .prompt([\\n {\\n name: \\\"id\\\",\\n type: \\\"input\\\",\\n message: \\\"What is the Product ID of the item you would like to purchase?\\\",\\n validate: function (value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n },\\n \\n {\\n name: \\\"quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"How many of the listed product would you like to buy?\\\",\\n validate: function (value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n }\\n ])\\n\\n //This Notes the ID chosen and the Qualtity Chosen and Displays to User\\n .then(function (input) {\\n \\n var item = input.id;\\n var quantity = input.quantity;\\n \\n console.log('You Have Chosen: \\\\n id = ' + input.id + '\\\\n Quantity = ' + input.quantity);\\n \\n \\n // Checks if there is enough product in the System\\n var queryStr = 'SELECT * FROM products WHERE ?';\\n \\n connection.query(queryStr, { id: item }, function (err, data) {\\n if (err) throw err;\\n \\n // If a Invalid ID is selected, an error message occurs and the connection is ended. \\n \\n if (data.length === 0) {\\n console.log('ERROR: Please select a valid Item ID.');\\n displayInventory();\\n connection.end();\\n } else {\\n var productData = data[0];\\n \\n \\n // Message Displayed with a Valid Order\\n if (quantity <= productData.stock_quantity) {\\n console.log('The product you requested is in stock! Placing order!');\\n\\n var updateQueryStr = 'UPDATE products SET stock_quantity = ' + (productData.stock_quantity - quantity) + ' WHERE id = ' + item;\\n \\n // Update Inventory then End Connection. Else Log that there is not enough product and modify connection \\n connection.query(updateQueryStr, function (err, data) {\\n if (err) throw err;\\n \\n console.log('Your order has been placed! Your total is $' + productData.price * quantity);\\n console.log('Thank you for shopping with StoreApp!');\\n console.log(\\\"\\\\n---------------------------------------------------------------------\\\\n\\\");\\n connection.end();\\n })\\n } else {\\n console.log('Sorry, there is not enough product in stock, your order cannot be placed');\\n console.log('Please modify your order amount to a smaller number.');\\n console.log(\\\"\\\\n---------------------------------------------------------------------\\\\n\\\");\\n \\n connection.end();\\n }\\n }\\n })\\n })\\n }\",\n \"function promptUser(){\\n inquirer\\n .prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"inputId\\\",\\n message: \\\"Please input the product ID of the item you would like to purchase?\\\",\\n validate: function(value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n },\\n {\\n type: \\\"input\\\",\\n name: \\\"unitAmount\\\",\\n message: \\\"Please enter the amount of units you would like to buy:\\\",\\n validate: function(value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n }\\n }\\n ]).then(function(purchase){\\n connection.query(\\\"SELECT * FROM products\\\", function(error, results) {\\n if (error) throw error;\\n let purchaseQuantity = purchase.unitAmount;\\n let productQuantity;\\n let productPrice;\\n let productName;\\n let productSales;\\n let productId;\\n let totalPurchased;\\n for (let i = 0; i < results.length; i++) {\\n if (parseInt(purchase.inputId) === results[i].item_id) {\\n productQuantity = results[i].stock_quantity;\\n productPrice = results[i].price;\\n productName = results[i].product_name;\\n productSales = results[i].product_sales;\\n productId = results[i].item_id;\\n totalPurchased = results[i].price * purchaseQuantity;\\n }\\n }\\n if (purchaseQuantity <= productQuantity){\\n console.log(\\\"========================= SHOPPING CART ========================\\\");\\n console.log(\\\"| Product ID: \\\" + productId + \\\" | Product Name: \\\" + productName + \\\" | Quantity: \\\" + purchaseQuantity + \\\" | \\\");\\n console.log(\\\"================================================================\\\");\\n connection.query(\\\"UPDATE products SET ? WHERE ?\\\",\\n [\\n {\\n stock_quantity: productQuantity - purchaseQuantity,\\n product_sales: productPrice * purchaseQuantity\\n },\\n {\\n item_id: purchase.inputId\\n }\\n ],\\n function(error) {\\n if (error) throw error;\\n console.log(\\\"Thank you for purchasing from Bamazon!\\\");\\n console.log(\\\"The total amount of your purchase: $\\\" + totalPurchased);\\n console.log(\\\"================================================================\\\");\\n connection.end();\\n }\\n );\\n } else {\\n console.log(\\\"There aren't enough\\\" + productName + \\\" in stock, please check the amount in stock!\\\");\\n printData();\\n // connection.end();\\n }\\n});\\n});\\n\\n}\",\n \"function addNewProductPrompt() {\\n\\n // ask user for information about new item to be inserted into database\\n return inquirer.prompt([{\\n name: \\\"product_name\\\",\\n message: \\\"Product name:\\\",\\n type: \\\"input\\\",\\n validate: function (inputValue) {\\n if (inputValue !== \\\"\\\") {\\n return true;\\n } else {\\n return \\\"Please provide a product name\\\";\\n }\\n }\\n },\\n {\\n name: \\\"department_name\\\",\\n message: \\\"Department name:\\\",\\n type: \\\"input\\\",\\n validate: function (inputValue) {\\n if (inputValue !== \\\"\\\") {\\n return true;\\n } else {\\n return \\\"Please provide a department name\\\";\\n }\\n }\\n },\\n {\\n name: \\\"price\\\",\\n message: \\\"Price:\\\",\\n type: \\\"input\\\",\\n validate: function (inputValue) {\\n if (!isNaN(inputValue) && inputValue >= 0) {\\n return true;\\n } else {\\n return \\\"Please provide a valid price\\\";\\n }\\n }\\n },\\n {\\n name: \\\"stock_quantity\\\",\\n message: \\\"Stock Quantity:\\\",\\n type: \\\"input\\\",\\n validate: function (inputValue) {\\n if (!isNaN(inputValue) && inputValue >= 0) {\\n return true;\\n } else {\\n return \\\"Please provide a valid quantity\\\";\\n }\\n }\\n }\\n ]);\\n\\n}\",\n \"function quantityPrompt(res) {\\n\\t inquirer\\n \\t\\t.prompt([\\n \\t\\t\\t{\\n\\t\\t\\t\\ttype: \\\"input\\\",\\n\\t\\t\\t\\tmessage: \\\"How many would you like to purchase?\\\",\\n\\t\\t\\t\\tname: \\\"quantity\\\"\\n\\t\\t }\\n\\t\\t])\\n\\t\\t.then(function(inqRes) {\\n\\t\\t\\tconsole.log(inqRes.quantity);\\n\\n\\t\\t\\tvar inqQuan = parseInt(inqRes.quantity);\\n\\t\\t\\tif (inqQuan <= res[0].stock_quantity) {\\n\\n\\t\\t\\t\\tvar total = (inqQuan*res[0].price).toFixed(2);\\n\\t\\t\\t\\tconsole.log(\\\"Your total is: $\\\" + total);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tconfirmPrompt(res, inqQuan);\\n\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\telse {\\n\\t\\t\\t\\tconsole.log(\\\"Insufficient quantity!\\\");\\n\\t\\t\\t\\tquantityPrompt(res);\\n\\n\\t\\t\\t}\\n\\n\\t\\t});//ends then\\n \\n}// ends quantityPrompt\",\n \"function productid(res){\\n inquirer.prompt({\\n \\n type : \\\"input\\\",\\n name : \\\"items\\\",\\n message : \\\"what product would you like to buy ? input the id\\\"\\n \\n\\n }).then(function(answer){\\n //loop through the table depending on user input and get the row \\n for(var k = 0; k < res.length; k++){\\n \\n if(answer.items == res[k].item_id){\\n var itemid =res[k].item_id;\\n \\n stockquantity=res[k].stock_quantity;\\n price=res[k].price;\\n console.log(\\\"stock quantity : \\\"+ res[k].stock_quantity);\\n console.log(\\\"id : \\\"+res[k].item_id);\\n units(stockquantity,itemid,price);\\n \\n }\\n \\n }\\n \\n });\\n }\",\n \"function welcomePurchase(){\\n inquirer.prompt([{\\n name: \\\"item\\\",\\n type: \\\"input\\\",\\n message: \\\"What item would you like to purchase? Enter the Item ID to continue\\\",\\n validate: function(input){\\n if(isNaN(input) === false){\\n return true;\\n } else {\\n console.log(\\\"Invalid Item ID. Please try again.\\\")\\n return false;\\n }\\n }\\n },\\n {\\n name: \\\"amount\\\",\\n type: \\\"input\\\",\\n message: \\\"How many would do you wish to purchase?\\\",\\n validate: function(input){\\n if(isNaN(input) === false){\\n return true;\\n } else {\\n console.log(\\\"Invalid quantity. Please try again.\\\")\\n return false;\\n }\\n } \\n }]).then(function (customerSelect){\\n \\n // connect to database based on customer item and quantity selection\\n query = connection.query (\\\"SELECT * FROM products WHERE item_id=?\\\", customerSelect.item, function (err, res){\\n if (err) throw err;\\n // console.log(\\\"affected rows: \\\", res.length)\\n if(customerSelect.amount > res.stock_quantity){\\n console.log(\\\"Insufficient quantity! Please input a value less than or equal to the quantity available in stock\\\");\\n return;\\n }\\n if (!res){\\n console.log(\\\"Oops! It looks like you did not select a product. Please select an item listen by typing in the corresponding Item ID\\\")\\n }\\n\\n //////////////////////////////////////// Update table after purchase and print \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\n connection.query(\\\"UPDATE products SET ? WHERE ?\\\", [\\n {\\n stock_quantity: (res[0].stock_quantity - customerSelect.amount)\\n },\\n {\\n item_id: customerSelect.item\\n }\\n ], function(err, res) {\\n if(customerSelect.amount == 0){\\n console.log(\\\"\\\\n \\\\t Oops, you did not provide a valid number to purchase! \\\\n\\\");\\n welcomePurchase();\\n } else {\\n console.log(`\\n You've successfully purchased ${customerSelect.amount} units of Item ID: ${customerSelect.item}!\\n `);\\n nextPrompt();\\n }\\n }); \\n });\\n });\\n }\",\n \"function promptId(results) {\\n inquirer\\n .prompt({\\n name: \\\"item_id\\\",\\n type: \\\"input\\\",\\n message: \\\"What's the ID of the product you want?\\\",\\n \\n /* Validates that the input is actually a number */\\n validate: function (value) {\\n answerId = value\\n if (answerId > 0) {\\n return true;\\n }\\n else {\\n return \\\"This is not a number. Try again\\\";\\n }\\n }\\n }).then(function (answers) {\\n \\n // Reassigning answerID (the id chosen) to the answers (answer {item_id: \\\"3\\\"})\\n answerId = answers.item_id;\\n \\n // If less than the result's index and greater than 0, console.log the id\\n if (answerId < (results.length + 1) && answerId > 0) { \\n console.log(\\\"You've chosen product ID: \\\" + chalk.bold.yellow(answerId));\\n console.log(\\\"--------------------------------------\\\")\\n \\n // Fires promptQuantity function \\n promptQuantity();\\n }\\n // Other let them know not valid and refire promptId\\n else {\\n console.log(\\\"Not a valid id. Try again\\\");\\n promptId(results);\\n \\n }\\n\\n });\\n}\",\n \"function promptUser(res){\\n inquirer\\n .prompt({\\n name: \\\"productID\\\",\\n message: \\\"Which product ID would you like to buy?\\\",\\n })\\n .then(function(answer1) {\\n\\n inquirer.prompt({\\n name: \\\"quantity\\\",\\n message: \\\"How many units of the product would you like to buy?\\\"\\n\\n }).then(function(answer2){\\n var quantity = answer2.quantity;\\n var productID = parseInt(answer1.productID);\\n\\n //find product\\n\\n var product = res.find(function(row){\\n return row.id === productID;\\n });\\n\\n if(product === undefined)\\n {\\n console.log(\\\"Product not found\\\");\\n return;\\n }\\n\\n //check quantity\\n\\n if(quantity > product.stock_quantity){\\n console.log(\\\"Insufficient quantity!\\\");\\n\\n }else{\\n console.log(\\\"----------------------\\\");\\n \\n //update the database with the new quantity\\n\\n //display the total cost of purchase\\n \\n }\\n\\n })\\n \\n });\\n}\",\n \"function shoppingCart() {\\n \\n inquire.prompt([{\\n message: \\\"Enter product ID you would like to purchase\\\",\\n type: \\\"input\\\",\\n name: \\\"userItems\\\"\\n },\\n {\\n message: \\\"Enter Quantity\\\",\\n type: \\\"input\\\",\\n name: \\\"userQuantity\\\"\\n }\\n ]).then(function (answers) {\\n var query = \\\"SELECT item_id, product_name, stock_quantity, price FROM products WHERE ?\\\";\\n connection.query(query, {\\n item_id: answers.userItems\\n }, function (err, res) {\\n for (var i = 0; i < res.length; i++) {\\n if (res[i].stock_quantity < answers.userQuantity) {\\n console.log(\\\"Sorry we only have \\\" + res[i].stock_quantity + \\\" in stock. But check back soon!\\\");\\n shoppingCart();\\n } else {\\n itemCart.push(res[i]);\\n cartQuant.push(parseInt(answers.userQuantity));\\n continueShopping();\\n };\\n };\\n });\\n });\\n}\",\n \"function selectItem() {\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n message: \\\"Enter the ID for the product you'd like to buy\\\",\\n name: \\\"productID\\\"\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"How many units of the product would you like to buy?\\\",\\n name: \\\"quantity\\\"\\n }\\n ]).then(function(inquirerResponse){\\n var productID = parseInt(inquirerResponse.productID);\\n var qty = inquirerResponse.quantity;\\n isAvailable(productID, qty);\\n })\\n}\",\n \"function selectionPrompt() {\\n\\n inquirer.prompt([{\\n\\n type: \\\"input\\\",\\n name: \\\"inputId\\\",\\n validate: validateID,\\n message: \\\"Enter the ID# of the item you want to purchase.\\\",\\n },\\n {\\n type: \\\"input\\\",\\n name: \\\"inputNumber\\\",\\n validate: validateQty,\\n message: \\\"How many would you like to purchase?\\\",\\n\\n }\\n ]).then(function (userPurchase) {\\n\\n\\n var sql = \\\"SELECT * FROM products WHERE item_id=?\\\";\\n connection.query(sql, [userPurchase.inputId], function (err, res) {\\n for (var i = 0; i < res.length; i++) {\\n\\n if (userPurchase.inputNumber > res[i].stock_quantity) {\\n\\n console.log(\\\"===================================================\\\");\\n console.log(\\\"Sorry! Not enough in stock. Please try again later.\\\");\\n console.log(res[i].stock_quantity + \\\" IN STOCK\\\");\\n console.log(\\\"===================================================\\\");\\n \\n //@todo prompt revise quantity\\n startPrompt();\\n\\n } else {\\n console.log(\\\"===================================\\\");\\n console.log(\\\"You've selected:\\\");\\n console.log(\\\"===================================\\\");\\n console.log(\\\"Item: \\\" + res[i].product_name);\\n console.log(\\\"Department: \\\" + res[i].department_name);\\n console.log(\\\"Price: \\\" + res[i].price);\\n console.log(\\\"Quantity: \\\" + userPurchase.inputNumber);\\n console.log(\\\"===================================\\\");\\n console.log(\\\"Total: \\\" + res[i].price * userPurchase.inputNumber);\\n console.log(\\\"===================================\\\");\\n\\n var newQty = (res[i].stock_quantity - userPurchase.inputNumber);\\n var purchaseId = (userPurchase.inputId);\\n var price = res[i].price;\\n var productSales = res[i].product_sales;\\n console.log(newQty);\\n confirmPrompt(userPurchase.inputNumber, price, newQty, productSales, purchaseId);\\n }\\n }\\n });\\n });\\n}\",\n \"function promptUser(){\\n inquirer\\n .prompt([\\n {\\n type: 'input',\\n name: 'item_id',\\n message: 'What is the id of the product you would like to buy',\\n\\n },\\n //The second message should ask how many units of the product they would like to buy.\\n\\n {\\n type: 'input',\\n name: 'quantity',\\n message: 'How many units would you like to buy?'\\n }\\n ]).then(function(answer){\\n console.log('You have selected: ' + answer.item_id);\\n console.log('the amount you have selected: ' + answer.quantity);\\n\\n var item = answer.item_id;\\n var quantity = answer.quantity;\\n \\n\\n var queryStr = 'SELECT * FROM products WHERE ?';\\n connection.query(queryStr, {item_id: item}, function(err,data){\\n // let table = new Tablefy('table');\\n // table.draw(data);\\n if(err) throw err;\\n if(data.length === 0){\\n console.log('Sorry! please select a valid id');\\n } else {productData = data[0];\\n if(quantity <= productData.stock_quantity){\\n console.log('Order has been placed for '+ quantity);\\n var updateQuery = 'UPDATE products SET stock_quantity ' +(productData.stock_quantity - quantity) + ' WHERE item_id: ' + item;\\n\\n } else {\\n console.log(\\\"Sorry we do not have that much in stock\\\");\\n } \\n }\\n })\\n\\n\\n })\\n}\",\n \"function promptCustomer(availableItems) {\\n inquirer.prompt([\\n {\\n type: \\\"list\\\",\\n message: \\\"What product would you like to buy?\\\",\\n choices: availableItems,\\n name: \\\"customerSelection\\\"\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"How many would you like to buy?\\\",\\n name: \\\"purchaseQuantity\\\",\\n validate: (value) => {\\n// This makes it so you cannot type a word in for quantity\\n return !isNaN(value);\\n }\\n }\\n ]).then(customerSelection => {\\n checkAvailability(customerSelection);\\n });\\n}\",\n \"function start() {\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"itemID\\\",\\n message: \\\"What is the ID of the item you would like to purchase? [Quit with Q]\\\",\\n validate: function(inputID) {\\n //if users enter q or Q, exit the program.\\n if (inputID.toLowerCase() === \\\"q\\\") {\\n connection.end();\\n process.exit();\\n }\\n //users need to enter a number between 1 to 10 because there are 10 items in the table.\\n else if ((!isNaN(inputID)) && (inputID<=10) && (inputID>0)) {\\n return true;\\n }\\n console.log(\\\"Please enter a valid ID.\\\");\\n return false;\\n }\\n },\\n {\\n type: \\\"input\\\",\\n name: \\\"quantity\\\",\\n message: \\\"How many would you like? [Quit with Q]\\\",\\n validate: function(inputQ) {\\n //if users enter q or Q, exit the program.\\n if (inputQ.toLowerCase() === \\\"q\\\") {\\n connection.end();\\n process.exit();\\n }\\n //users need to enter a number\\n else if (!isNaN(inputQ)) {\\n return true;\\n }\\n console.log(\\\"Please enter a valid quantity.\\\");\\n return false;\\n }\\n }\\n ]).then(function (answer) {\\n\\n connection.query(\\\"SELECT * FROM products\\\", function(err, res) {\\n if (err) throw err;\\n //query through out the table to find the matched ID as the selected item.\\n var chosenItem =\\\"\\\";\\n for (var i = 0; i < res.length; i++) {\\n if (res[i].item_id === parseInt(answer.itemID)) {\\n chosenItem = res[i];\\n }\\n }\\n \\n //check if the inventory has enough of the product to meet the customer's request.\\n //if it has enough of the product, update the SQL database to reflect the remaining quantity\\n if (chosenItem.stock_quantity >= parseInt(answer.quantity)) {\\n connection.query(\\n \\\"UPDATE products SET ? WHERE ?\\\",\\n [\\n {\\n stock_quantity: chosenItem.stock_quantity-= parseInt(answer.quantity)\\n },\\n {\\n item_id: chosenItem.item_id\\n }\\n ],\\n function(error) {\\n if (error) throw err;\\n //Once the update goes through, show the customer the total cost of their purchase.\\n var totalCost = answer.quantity * chosenItem.price;\\n console.log(\\\"Thank you. Successfully purchased \\\"+ answer.quantity + \\\" \\\" + chosenItem.product_name + \\\".\\\");\\n console.log(\\\"Your total cost is $\\\"+ totalCost + \\\".\\\");\\n display();\\n }\\n );\\n }\\n else {\\n //show error message when inventory is not sufficient to prevent the order from going through.\\n console.log(\\\"Sorry. Insufficient quantity! Please select another item or change your quantity.\\\");\\n start();\\n }\\n });\\n });\\n\\n}\",\n \"function promptUser() {\\n inquirer\\n .prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"itemId\\\",\\n message:\\n \\\"Please Type in the Item ID of the product you would like to buy! \\\",\\n validate: function (value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n },\\n },\\n\\n {\\n type: \\\"input\\\",\\n name: \\\"itemQuantity\\\",\\n message: \\\"How Many Would You like today??\\\",\\n validate: function (value) {\\n if (isNaN(value) === false) {\\n return true;\\n }\\n return false;\\n },\\n },\\n ])\\n .then(function (answer) {\\n // We Want to store those answers in variables\\n var itemIdSelected = answer.itemId;\\n var itemQuantityEntered = answer.itemQuantity;\\n\\n // Checking up if the id selected exists in the inventory\\n connection.query(\\n \\\"SELECT * FROM products WHERE ?\\\",\\n { item_id: itemIdSelected },\\n function (err, data) {\\n if (err) throw err;\\n\\n // If the id the user selected doesnt exist\\n if (data.length === 0) {\\n console.log(\\\"Error: Invalid Item ID, Please Select A valid one!\\\");\\n\\n setTimeout(displayInventory, 2000);\\n\\n // We do checking the quantity wanted and comparing it ....etc\\n } else {\\n // Store the product data in a variable\\n var productSelectedData = data[0];\\n\\n // compare it to the quantity available if it's lower or equal we do the updates\\n if (itemQuantityEntered <= productSelectedData.stock_quantity) {\\n console.log(\\n \\\"\\\\nCongratulations, the product quantity you requested is in stock! Placing order.....\\\"\\n );\\n // Updating our bamazon database\\n connection.query(\\n \\\"UPDATE products SET ? WHERE ?\\\",\\n [\\n {\\n stock_quantity:\\n productSelectedData.stock_quantity - itemQuantityEntered,\\n },\\n {\\n item_id: itemIdSelected,\\n },\\n ],\\n function (err, data) {\\n if (err) throw err;\\n\\n // logging information for the user\\n console.log(\\n \\\"Your order has been placed! Your total is $\\\" +\\n (productSelectedData.price * itemQuantityEntered).toFixed(\\n 2\\n )\\n );\\n console.log(\\n \\\"Order Details: \\\" +\\n itemQuantityEntered +\\n \\\" \\\" +\\n productSelectedData.product_name\\n );\\n console.log(\\\"Thank you for shopping with us!\\\");\\n console.log(\\n \\\"\\\\n---------------------------------------------------------------------\\\\n\\\"\\n );\\n\\n // end connection\\n connection.end();\\n }\\n );\\n\\n // IF Qantity enetered is more than inventory quantity log and prompt user again\\n } else {\\n console.log(\\\"\\\\nSorry, not enough quantity in our inventory.\\\");\\n console.log(\\\"Please modify your order.\\\");\\n console.log(\\n \\\"\\\\n---------------------------------------------------------------------\\\\n\\\"\\n );\\n\\n setTimeout(promptUser, 2000);\\n }\\n }\\n }\\n );\\n });\\n}\",\n \"function selectQuantity() {\\n inquirer.prompt({\\n name: \\\"quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"How many would you like to purchase\\\"\\n })\\n .then(function (answer) {\\n\\n //Set customer total\\n customerTotal = (answer.quantity * selectedItem.price);\\n //Set new quantity\\n var newQuantity = (selectedItem.stock_quantity - answer.quantity)\\n\\n //If the customer requests more of the item than we have left, alert them of how much of the product is remaining\\n if (selectedItem.stock_quantity < answer.quantity) {\\n console.log(\\\"Sorry, we only have \\\" + selectedItem.stock_quantity + \\\" left of that product\\\")\\n selectQuantity();\\n\\n //If customer chooses none, fire purchase more function\\n } else if (parseInt(answer.quantity) === 0) {\\n console.log(\\\"No worries. It's okay to change your mind\\\")\\n purchaseMore();\\n\\n } else {\\n //Confirm the customer would like to make the purchase\\n inquirer.prompt({\\n name: \\\"verify\\\",\\n type: \\\"confirm\\\",\\n message: \\\"Your total comes to $\\\" + (customerTotal) + \\\". Would you like to make this purchase?\\\"\\n })\\n\\n //If they answer yes, thank them and call the purchaseMore function\\n .then(function (answer) {\\n if (answer.verify === true) {\\n\\n //Otherwise, update the database by subtracting the customers request from the stock_quantity\\n connection.query(\\\"UPDATE products SET ? WHERE ?\\\",\\n [\\n {\\n stock_quantity: newQuantity\\n },\\n {\\n item_id: selectedItem.item_id\\n }\\n ])\\n console.log(\\\"Thank you for shopping!\\\")\\n purchaseMore();\\n //Otherwise, redirect them to the selectQuantity function\\n } else {\\n console.log(\\\"Okay, let's try this again\\\")\\n selectQuantity();\\n }\\n })\\n }\\n })\\n}\",\n \"function start() {\\n inquirer\\n .prompt([\\n {\\n name: \\\"itemID\\\",\\n type: \\\"input\\\",\\n message: \\\"Please enter the ID of the bean you'd like to purchase.\\\",\\n //make sure entry is a positive integer in the range of possible ids\\n validate: function(value) {\\n if (isNaN(value) === false && value > 0 && value < resLength) {\\n return true;\\n }\\n return false;\\n \\n }\\n },\\n {\\n name: \\\"quantity\\\",\\n type: \\\"input\\\",\\n message: \\\"Please enter the quanity you'd like to purchase.\\\",\\n //make sure entry is a positive integer\\n validate: function(value) {\\n if (isNaN(value) === false && value >= 1) {\\n return true;\\n }\\n return false;\\n \\n }\\n }\\n ])\\n .then(function(answer) {\\n //clear selectionArray\\n selectionArray = [];\\n //populate selectionArray with relevant data from the user's choice. these values are used in subsequent code.\\n for (i=0; i < iDarray.length; i++) {\\n if (parseInt(iDarray[i]) === parseInt(answer.itemID)) {\\n selectionArray.push(parseInt(iDarray[i]));\\n selectionArray.push(productChoices[i]);\\n selectionArray.push(parseInt(stockCounter[i]));\\n //used parseFloat since the price needs to have 2 decimal values\\n selectionArray.push(parseFloat(priceList[i]));\\n }\\n }\\n //ensure there is enough stock on hand to fulfill the order. if there isn't, notify user.\\n if (parseInt(answer.quantity) > parseInt(selectionArray[2])) {\\n console.log(\\\"Sorry, we don't have enough \\\" + selectionArray[1].toLowerCase() + \\\" in stock to fulfill your order\\\");\\n //call function that allows user to choose to continue or exit the application.\\n endgame();\\n }\\n \\n else{\\n //if stock is sufficient, update the relevant stock_quantity from the mysql table.\\n connection.query(\\n \\\"UPDATE products SET ? WHERE ?\\\",\\n [\\n {\\n stock_quantity: parseInt(selectionArray[2]) - parseInt(answer.quantity)\\n },\\n {\\n item_id: parseInt(answer.itemID)\\n }\\n ],\\n function(err) {\\n if (err) throw err;\\n //set variable to hold the total cost of the order\\n var cost = selectionArray[3] * parseInt(answer.quantity);\\n //update the stock in the selectionArray. this prevents the user from being allowed to order more than is actually on hand.\\n selectionArray[2] = parseInt(selectionArray[2]) - parseInt(answer.quantity);\\n //inform user of the success of the order and give them a summary of the relevant order details.\\n console.log(\\\"You have purchased \\\" + answer.quantity + \\\" kg of \\\" + selectionArray[1].toLowerCase() + \\n \\\" & your account has been charged $\\\" + cost.toFixed(2) + \\n \\\". Thanks for shopping with beanazon!!\\\");\\n //call function that allows user to choose to continue or exit the application.\\n endgame();\\n }\\n );\\n }\\n } \\n \\n )}\",\n \"function purchase() {\\n inquirer.prompt([{\\n name: 'id',\\n type: 'input',\\n message: \\\"What is the ID of the item you would like to purchase? [Quit with Q]\\\"\\n }, {\\n name: 'quantity',\\n type: 'input',\\n message: \\\"How many would you like? [Quit with Q]\\\"\\n }])\\n //product chosen\\n .then(function (answer) {\\n console.log(answer);\\n\\n connection.query(\\\"SELECT * FROM products WHERE item_id = ? \\\",\\n [answer.id],\\n function (err, res) {\\n if (err) throw err;\\n console.log(res);\\n var chosenItem = res[0]; \\n\\n //update product quantity\\n if (chosenItem.stock_quantity < parseInt(answer.number)) {\\n connection.query(\\\"UPDATE products SET ? WHERE ?\\\", [{\\n stock_quantity: number\\n },\\n {\\n item_id: chosenItem\\n }\\n ],\\n function (error) {\\n if (error) throw err;\\n console.log(\\\"Purchased!\\\");\\n }\\n );\\n } else {\\n console.log(\\\"Sorry, item not available. Select another item.\\\");\\n }\\n });\\n }, )\\n}\",\n \"function purchase() {\\n\\n inquirer\\n .prompt([\\n {\\n name: \\\"itemID\\\",\\n type: \\\"input\\\",\\n message: \\\"\\\\nGreat! What is the Item # of the product you would like to purchase?\\\\n\\\"\\n },\\n {\\n name: \\\"units\\\",\\n type: \\\"number\\\",\\n message: \\\"\\\\nHow many units of the item would you like to purchase?\\\\n\\\"\\n },\\n\\n ])\\n .then(function (selection) {\\n // get the information of the chosen item\\n\\n // query the database for all items available to purchase\\n connection.query(\\\"SELECT * FROM products WHERE id=?\\\", selection.itemID, function (err, res) {\\n\\n for (var i = 0; i < res.length; i++) {\\n\\n if (selection.units > res[i].stockQuantity) {\\n\\n console.log(chalk.green.bold(\\\"===================================================\\\"));\\n console.log(chalk.green.bold(\\\"Sorry! Not enough of that item in stock.\\\"));\\n console.log(chalk.green.bold(\\\"===================================================\\\"));\\n newOrder();\\n\\n } else {\\n //list item information for user for confirm prompt\\n console.log(chalk.green.bold(\\\"===================================================\\\"));\\n console.log(chalk.green.bold(\\\"Awesome! We can fulfull your order.\\\"));\\n console.log(chalk.green.bold(\\\"===================================================\\\"));\\n console.log(chalk.green.bold(\\\"You've selected:\\\"));\\n console.log(chalk.green.bold(\\\"----------------\\\"));\\n console.log(chalk.green.bold(\\\"Item: \\\" + res[i].productName));\\n console.log(chalk.green.bold(\\\"Department: \\\" + res[i].departmentName));\\n console.log(chalk.green.bold(\\\"Price: $\\\" + res[i].price));\\n console.log(chalk.green.bold(\\\"Quantity: \\\" + selection.units));\\n console.log(chalk.green.bold(\\\"----------------\\\"));\\n console.log(chalk.green.bold(\\\"Total: $\\\" + res[i].price * selection.units));\\n console.log(chalk.green.bold(\\\"===================================================\\\\n\\\"));\\n\\n var newStock = (res[i].stockQuantity - selection.units);\\n var purchaseId = (selection.itemID);\\n //console.log(newStock);\\n confirmPrompt(newStock, purchaseId);\\n }\\n }\\n });\\n })\\n}\",\n \"function placeOrder() {\\n // First, should ask them the ID of the product they would like to buy\\n inquirer.prompt([\\n {\\n type: 'input',\\n name: 'productID',\\n message: 'Which product ID which you like to buy?'\\n },\\n // Second, should ask how many units of the product they would like to buy\\n {\\n type: 'input',\\n name: 'quantity',\\n message: 'How many units of the product would you like to buy?'\\n\\n }\\n ])\\n // response of the user to the above two messages\\n .then(({productID, quantity})=> {\\n console.log(productID)\\n console.log(quantity)\\n })\\n}\",\n \"function startTransaction() {\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n message: \\\"What is the id of the product you want to purchase?\\\",\\n name: \\\"id\\\",\\n validate: function validateId(id) {\\n return id !== '';\\n }\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"Please enter quantity of product you wish to purchase\\\",\\n name: \\\"stock_quantity\\\",\\n validate: function validateId(stock_quantity) {\\n return stock_quantity !== '';\\n }\\n }\\n\\n\\n ])\\n //This function checks the input from inquirer to see if there is enough quantity on hand\\n .then(function (checkQuantity) {\\n var query = \\\"SELECT * FROM products WHERE ?\\\";\\n connection.query(query, { id: checkQuantity.id },\\n function (err, res) {\\n\\n\\n\\n if (checkQuantity.stock_quantity > res[0].stock_quantity) {\\n console.log(\\\"We have insufficient quantity to place your order\\\");\\n \\n }\\n else {\\n console.log(\\\"We are placing your order!\\\");\\n //This section calculates the cost of the purchase and lets the customer know\\n var cost = checkQuantity.stock_quantity * res[0].price;\\n console.log(\\\"Your cost is $\\\" + parseFloat(cost).toFixed(2));\\n newQty = res[0].stock_quantity - checkQuantity.stock_quantity;\\n\\n //Once the previous function confirms that there is enough stock on hand\\n //this function then takes the order quantity and subtracts it from the \\n //quantity on hand to get the new quanity on hand and updates\\n //sql with the new stock quantity\\n var query = connection.query(\\n \\\"UPDATE products SET stock_quantity = (stock_quantity - ?) WHERE id=?\\\",\\n [checkQuantity.stock_quantity, checkQuantity.id],\\n\\n function (error) {\\n if (error) throw err;\\n \\n\\n }\\n );\\n }\\n contShopping();\\n\\n }\\n\\n\\n )\\n\\n\\n });\\n\\n\\n}\",\n \"function userPurchase () {\\ninquirer\\n .prompt ([\\n {\\n type: 'input',\\n name: 'item_id',\\n message: 'Please enter the ID of the item you would like to purchase.',\\n filter: Number,\\n validate: correctInput\\n },\\n {\\n type: 'input',\\n name: 'quantity',\\n message: 'How many would you like to purchase?',\\n validate: correctInput,\\n filter: Number,\\n }\\n ]).then(function(input){\\n var item = input.item_id;\\n var quantity = input.stock_quantity;\\n\\n var queryID = 'SELECT * FROM products WHERE ?';\\n\\n connection.query(queryID, {item_id: item}, function (err, data) {\\n if (err) throw err;\\n\\n if (data.length === 0) {\\n console.log('Sorry, invalid item ID. Please select a valid ID.');\\n displayInventory();\\n } else {\\n var productData = data [0];\\n\\n if (quantity <= productData.quantity) {\\n console.log ('The product you requested is in stock! Placing your order now.');\\n\\n var updateQueryID = 'UPDATE products SET stock_quantity = ' + (productData.stock_quantity - quantity) + 'WHERE item_id =' + item;\\n \\n connection.query(updateQueryID, function(err, data) {\\n if (err) throw err;\\n\\n console.log ('\\\\nYour order has been placed! Your total is $' + productData.price * quantity);\\n console.log ('\\\\nThank you for shopping with us!');\\n console.log ('\\\\n ----------------------------\\\\n');\\n\\n connection.end();\\n })\\n } else {\\n console.log ('\\\\nInsufficient! There is not enough product in stock, therefore, your order cannot be placed.');\\n console.log ('\\\\nPlease modify your order and replace your products again.');\\n console.log('\\\\n----------------------------------------------\\\\n');\\n\\n displayInventory();\\n }\\n }\\n })\\n })\\n}\",\n \"function userWants() {\\n inquirer\\n .prompt([\\n {\\n name: \\\"chooseId\\\",\\n type: \\\"input\\\",\\n message: \\\"What is the ID of the product you would like to buy?\\\",\\n },\\n {\\n name: \\\"chooseQuant\\\",\\n type: \\\"input\\\",\\n message: \\\"How many of the selected item do you like to buy?\\\"\\n }\\n\\n ])\\n .then(function (answer) {\\n\\n var itemWanted = answer.chooseId; // Storing the name of the selected item\\n var numberWanted = answer.chooseQuant; // Storing the quantity of the selected item\\n if (itemWanted < 1 || itemWanted > 10){\\n console.log(\\\"Invalid ID. Please try again\\\");\\n userWants();\\n } else {\\n\\n //checking to see if the selected item has enough stock. \\n var query = connection.query(\\\"SELECT * FROM products WHERE item_id=?\\\", [itemWanted], function (err, res) {\\n //When we DON'T have enough in stock\\n if (res[0].stock_quantity < parseInt(numberWanted)) {\\n console.log(\\\"=====================================================================\\\");\\n console.log(\\\"Insufficient quantity! Please try again\\\");\\n userWants();\\n } else {\\n //When we DO have enough in stock\\n console.log(\\\"=====================================================================\\\");\\n console.log(\\\"Thank you very much for your purchase. Your order has been placed.\\\");\\n connection.query(\\\"UPDATE products SET ? WHERE ?\\\", [\\n {\\n stock_quantity: res[0].stock_quantity - parseInt(numberWanted)\\n },\\n {\\n item_id: itemWanted\\n }\\n\\n ], function (err, result) {\\n console.log(\\\"The total price for your item is $\\\" + res[0].price * parseInt(numberWanted) + \\\". \\\\nThank you for using Bamazon\\\");\\n console.log(\\\"=====================================================================\\\");\\n console.log(\\\"If you want to make your next purchase, simply press upper arrow key :)\\\");\\n\\n connection.end();\\n\\n })\\n }\\n \\n });\\n };\\n });\\n\\n \\n\\n}\",\n \"function qty() {\\n inquirer\\n .prompt({\\n name: \\\"action\\\",\\n type: \\\"input\\\",\\n message: \\\"How many would you like?\\\",\\n\\n })\\n .then(function(answer) {\\n quantityToBuy = answer.action;\\n checkqty();\\n })\\n}\",\n \"function purchasePrompt() {\\n console.log(\\\"yes\\\");\\n inquirer.prompt([{\\n type: \\\"confirm\\\",\\n name: \\\"purchase\\\",\\n message: \\\"Would you like to purchase an item?\\\",\\n default: true\\n\\n }]).then(function (user) {\\n if (user.purchase === true) {\\n selectionPrompt();\\n } else {\\n startPrompt();\\n }\\n });\\n}\",\n \"function purchaseStart() {\\n inquirer\\n .prompt([\\n {\\n type: \\\"input\\\",\\n name: \\\"ID\\\",\\n message: \\\"What is the id number of your product?\\\",\\n validate: validateInput,\\n filter: Number\\n },\\n {\\n type: \\\"input\\\",\\n name: \\\"stockQuantity\\\",\\n message: \\\"How many units would you like to purchase today?\\\",\\n validate: validateInput,\\n filter: Number\\n }\\n ])\\n .then(function(answer) {\\n //take answers and pass through as variable parameters\\n\\n var requestedQuantity = answer.stockQuantity;\\n var idRequested = answer.ID;\\n // use the mysql command to select product from table created in bamazon_db\\n query = \\\"SELECT * FROM products WHERE ?\\\";\\n connection.query(query, { id: idRequested }, function(err, res) {\\n if (res.length === 0) {\\n console.log(\\\"error!\\\");\\n throw err;\\n\\n // displayProduct();\\n } else {\\n var selection = res[0];\\n\\n if (requestedQuantity <= selection.stock_quantity) {\\n console.log(\\\" Your order is now being processed!!!\\\");\\n\\n var stockUpdate =\\n \\\"UPDATE products SET stock_quantity = \\\" +\\n (selection.stock_quantity - requestedQuantity) +\\n \\\" WHERE id = \\\" +\\n idRequested;\\n\\n connection.query(stockUpdate, function(err, res) {\\n if (err) throw err;\\n\\n console.log(\\n \\\"Your order is completed cool beans!! Pay me now!!!\\\" +\\n selection.price * requestedQuantity\\n );\\n console.log(requestedQuantity);\\n // the inquirer list below has a case function that allows the user to decide if they want to continue shopping or not\\n // the breaks are used to cut the connection of each option\\n inquirer\\n .prompt({\\n name: \\\"choose\\\",\\n type: \\\"list\\\",\\n message: \\\"would you like to purchase more today?\\\",\\n choices: [\\\"Yes I would!\\\", \\\"No, thanks\\\"]\\n })\\n .then(function(answer) {\\n switch (answer.choose) {\\n case \\\"Yes I would!\\\":\\n displayProduct();\\n break;\\n\\n case \\\"No, thanks\\\":\\n connection.end();\\n break;\\n }\\n });\\n });\\n } else {\\n // returns back to the original table and prompts user to try again next time\\n displayProduct();\\n // change to error message\\n console.log(\\\"Sorry but we cannot process that quantity amount\\\");\\n console.log(\\\"We will have more in stock soon! \\\");\\n }\\n }\\n });\\n });\\n}\",\n \"function productIDPrompt() {\\n inquirer.prompt({\\n name: \\\"ask\\\",\\n message: \\\"Please input the ID of the product you would like to buy.\\\"\\n }).then(function(answer) {\\n productID = answer.ask;\\n var query = \\\"SELECT item_id, product_name, price, stock_quantity FROM products WHERE ?\\\";\\n connection.query(query, { item_id: answer.ask}, function(err, res) {\\n if (err) throw err;\\n selProductPrice = res[0].price;\\n selProductStock = res[0].stock_quantity;\\n \\n console.log(`Here is the requested item information: \\n________________________________________\\n\\nItem ID: ${res[0].item_id}\\nItem Name: ${(res[0].product_name)}\\nPrice: $${res[0].price}\\nStock: ${res[0].stock_quantity}\\n________________________________________\\n`);\\n quantityPrompt(selProductStock);\\n })\\n })\\n}\",\n \"function updateQuantity() {\\n //variable for locally storing information from the first prompt for the second one\\n var userItem = {\\n id: 0,\\n quantity: 0\\n };\\n inquirer.prompt([\\n {\\n type: \\\"input\\\",\\n message: \\\"Please enter the [id] for the item you would like to update: \\\",\\n name: \\\"id\\\",\\n validate: function (value) {\\n //validates that the id they entered matches an id in the cart\\n var isValid = false;\\n for (var index in cart) {\\n if (cart[index].id == parseInt(value)) {\\n isValid = true;\\n //if the id's match, stores the information locally for validating quantity.\\n userItem.id = cart[index].id;\\n userItem.quantity = parseInt(cart[index].quantity);\\n }\\n }\\n return (isValid) ? isValid : \\\"Please enter a valid [ID]\\\";\\n }\\n },\\n {\\n type: \\\"input\\\",\\n message: \\\"Please enter the updated quantity: \\\",\\n name: \\\"quantity\\\",\\n validate: function (value) {\\n var isValid = false;\\n //validates that the quantity is a number greater than 0\\n if (isNaN(value) == false && value > 0) {\\n\\n for (var index in cart) {\\n //find the id the user selected in the cart array\\n if (userItem.id == cart[index].id) {\\n for (var i in stock) {\\n //find the id the user selected in the stock array\\n if (userItem.id == stock[i].ItemID) {\\n //check to see if the amount in stock and currently in the cart is greater than the quantity entered by the user\\n if (stock[i].StockQuantity + cart[index].quantity >= value) {\\n isValid = true;\\n } else {\\n isValid = \\\"We do not have that many in stock.\\\"\\n }\\n }\\n }\\n }\\n }\\n return (isValid);\\n } else {\\n return \\\"Please enter a valid number\\\";\\n }\\n }\\n }\\n ]).then(function (choice) {\\n\\n //put the quantity already in the cart back in stock\\n for (var index in stock) {\\n if (stock[index].ItemID == userItem.id) {\\n stock[index].StockQuantity += parseInt(userItem.quantity);\\n }\\n }\\n //subtract the new quantity from stock after the old quantity has been restocked\\n for (var i in cart) {\\n if (cart[i].id == userItem.id) {\\n cart[i].quantity = parseInt(choice.quantity);\\n for (var j in stock) {\\n if (cart[i].id == stock[j].ItemID) {\\n stock[j].StockQuantity -= parseInt(choice.quantity);\\n }\\n }\\n }\\n }\\n //dispay items in stock, shopping cart, and promt the user\\n displayStock();\\n shoppingCart();\\n promptOptions();\\n });\\n}\",\n \"function purchasePrompt() {\\n\\n inquirer.prompt([{\\n\\n type: \\\"confirm\\\",\\n name: \\\"continue\\\",\\n message: \\\"Would you like to purchase an item?\\\",\\n default: true\\n\\n }]).then(function (user) {\\n if (user.continue === true) {\\n purchase();\\n } else {\\n console.log(chalk.green.bold(\\\"Thank you! Come back soon! Just enter: node bamazonCustomer.js\\\"));\\n connection.end();\\n }\\n });\\n}\",\n \"function itemQty(item, name, stock){\\n \\n inquirer.prompt({\\n type: \\\"list\\\",\\n name: \\\"purchase\\\",\\n message: \\\"would you like to purchse this item?\\\",\\n choices: [\\n \\\"yes\\\",\\n \\\"no\\\"\\n ]\\n }) \\n .then(function(answer){\\n switch (answer.purchase) {\\n case \\\"yes\\\":\\n getQty(item);\\n break;\\n \\n case \\\"no\\\":\\n console.log(\\\"please make another selection\\\");\\n greetings();\\n break;\\n \\n }\\n });\\n\\n function getQty(item, stock, name) {\\n \\n inquirer.prompt({\\n name: \\\"qty\\\",\\n type: \\\"input\\\",\\n message: \\\"please enter the quantity you would like\\\",\\n })\\n .then(function(value){ \\n\\n var qty = $parseInt(value.qty, 10); \\n \\n // if (qty > stock) {\\n // console.log(\\\"qty: \\\" + qty + \\\", stock: \\\" + stock);\\n // console.log(\\\"sorry, we have insufficient supply of \\\" + name);\\n // } else {\\n // function updateStock(item, stock, name) {\\n // var query = connection.query(\\n // \\\"UPDATE products SET ? WHERE ?\\\",\\n // [\\n // {\\n // stock_qty: stock_qty - qty\\n // },\\n // {\\n // item_ID: item\\n // }\\n // ],\\n // function(err, res) {\\n \\n // console.log(res.affectedRows + \\\" stock has been update!\\\\n\\\");\\n \\n \\n // }\\n // );\\n // }\\n // }; \\n purchaseItems(item, qty); \\n });\\n\\n function purchaseItems(item, qty){ \\n \\n connection.query(\\\"SELECT item_name, price, stock_qty FROM products WHERE ?\\\", \\n {\\n item_ID: item\\n }, \\n function(err, res) {\\n if (err) throw err;\\n \\n console.log(qty + \\\" \\\" + res[0].item_name + \\\"s will be mailed to the address we have on file.\\\\n\\\");\\n console.log(\\\"$\\\" + ((qty * res[0].price).toFixed(2)) + \\\" will be billed to your account. \\\\n\\\");\\n delay(750).then(() => {\\n console.log(\\\"thank you for shopping with Bamazon!\\\");\\n });\\n \\n\\nconnection.end();\\n});\\n\\n\\n\\n}\\n}\\n}\",\n \"function whatToBuy(){\\n console.log(\\\" ~crunchy store~\\\")\\nlet customerChoice = inquirer.prompt([\\n\\n {\\n type: \\\"input\\\",\\n name: \\\"item\\\",\\n message:\\\"What would you like to buy?\\\"\\n },\\n {\\n type: \\\"input\\\",\\n name: \\\"qty\\\",\\n message: \\\"How many would you like to buy?\\\"\\n }\\n ]).then(function(x) {\\n let id = x.item;\\n let qty = x.qty;\\n\\n console.log(\\\"Item: \\\" + products[x.item].item_name);\\n console.log(\\\"QTY: \\\" + x.qty);\\n console.log(\\\"Total Price: $\\\" + (products[x.item].sales_price * x.qty))\\n\\n // CHECK INVENTORY\\n\\n getInventory(id,qty,function(item,qty){\\n \\n // IF STATEMENT\\n let newQty = item.inventory_qty - qty;\\n\\n console.log(\\\"Checking inventory..... \\\" + item.item_name);\\n console.log(\\\"\\\");\\n if(newQty > 0) {\\n console.log(\\\"Purchase Complete!\\\")\\n updateProducts(id,\\\"inventory_qty\\\",newQty);\\n }\\n else{\\n console.log(\\\"Insufficient Qty for Order...\\\")\\n }\\n console.log(\\\"...\\\");\\n console.log(\\\"\\\");\\n console.log(\\\"\\\");\\n console.log(\\\"\\\");\\n\\n runProgram();\\n });\\n\\n });\\n}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.80536026","0.8019164","0.8015831","0.7915313","0.7897343","0.7864858","0.7813461","0.7811712","0.77833486","0.7760087","0.77232844","0.77152956","0.7707057","0.7700719","0.7656809","0.76543355","0.7651184","0.7633634","0.76255906","0.7605903","0.758634","0.7552198","0.7540215","0.75074416","0.749119","0.7476586","0.7457182","0.744725","0.74289936","0.74245363","0.74203134","0.7415149","0.7413866","0.73916","0.73903626","0.7380966","0.7377179","0.737247","0.737235","0.73664737","0.73513883","0.73329246","0.7332832","0.7322839","0.73044264","0.7289735","0.7288447","0.7285602","0.7275754","0.72701424","0.72571033","0.72535187","0.7251528","0.7239511","0.7234773","0.7232033","0.71886283","0.71757466","0.7175336","0.7162954","0.71525425","0.7152116","0.713564","0.7132066","0.7121018","0.71206987","0.7107146","0.7104264","0.7093874","0.7093441","0.7091296","0.70893085","0.7089109","0.70864695","0.7084808","0.70789224","0.70708996","0.7068993","0.7061374","0.7059759","0.7049292","0.70483536","0.7046549","0.70463157","0.7032551","0.70295227","0.7025416","0.7013731","0.70081526","0.6987948","0.698662","0.6981911","0.69816566","0.69742423","0.6971353","0.6958533","0.69539607","0.69524705","0.6940711","0.6939311"],"string":"[\n \"0.80536026\",\n \"0.8019164\",\n \"0.8015831\",\n \"0.7915313\",\n \"0.7897343\",\n \"0.7864858\",\n \"0.7813461\",\n \"0.7811712\",\n \"0.77833486\",\n \"0.7760087\",\n \"0.77232844\",\n \"0.77152956\",\n \"0.7707057\",\n \"0.7700719\",\n \"0.7656809\",\n \"0.76543355\",\n \"0.7651184\",\n \"0.7633634\",\n \"0.76255906\",\n \"0.7605903\",\n \"0.758634\",\n \"0.7552198\",\n \"0.7540215\",\n \"0.75074416\",\n \"0.749119\",\n \"0.7476586\",\n \"0.7457182\",\n \"0.744725\",\n \"0.74289936\",\n \"0.74245363\",\n \"0.74203134\",\n \"0.7415149\",\n \"0.7413866\",\n \"0.73916\",\n \"0.73903626\",\n \"0.7380966\",\n \"0.7377179\",\n \"0.737247\",\n \"0.737235\",\n \"0.73664737\",\n \"0.73513883\",\n \"0.73329246\",\n \"0.7332832\",\n \"0.7322839\",\n \"0.73044264\",\n \"0.7289735\",\n \"0.7288447\",\n \"0.7285602\",\n \"0.7275754\",\n \"0.72701424\",\n \"0.72571033\",\n \"0.72535187\",\n \"0.7251528\",\n \"0.7239511\",\n \"0.7234773\",\n \"0.7232033\",\n \"0.71886283\",\n \"0.71757466\",\n \"0.7175336\",\n \"0.7162954\",\n \"0.71525425\",\n \"0.7152116\",\n \"0.713564\",\n \"0.7132066\",\n \"0.7121018\",\n \"0.71206987\",\n \"0.7107146\",\n \"0.7104264\",\n \"0.7093874\",\n \"0.7093441\",\n \"0.7091296\",\n \"0.70893085\",\n \"0.7089109\",\n \"0.70864695\",\n \"0.7084808\",\n \"0.70789224\",\n \"0.70708996\",\n \"0.7068993\",\n \"0.7061374\",\n \"0.7059759\",\n \"0.7049292\",\n \"0.70483536\",\n \"0.7046549\",\n \"0.70463157\",\n \"0.7032551\",\n \"0.70295227\",\n \"0.7025416\",\n \"0.7013731\",\n \"0.70081526\",\n \"0.6987948\",\n \"0.698662\",\n \"0.6981911\",\n \"0.69816566\",\n \"0.69742423\",\n \"0.6971353\",\n \"0.6958533\",\n \"0.69539607\",\n \"0.69524705\",\n \"0.6940711\",\n \"0.6939311\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7197916"},"document_rank":{"kind":"string","value":"56"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":1,"numItemsPerPage":100,"numTotalItems":82052,"offset":100,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3MzI0MTk3Nywic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1qYXZhc2NyaXB0LXYxIiwiZXhwIjoxNzczMjQ1NTc3LCJpc3MiOiJodHRwczovL2h1Z2dpbmdmYWNlLmNvIn0.tk93QynskfX1faTa-I5-wbamM9zcdE2ytueBVso4eH17CBYVU_iuLybpKXpwNgGbHyBBkZghkxGwQkE9L4vfBA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":82052,"numBytesParquet":1713312505}]},"discussionsStats":{"closed":0,"open":0,"total":0},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
Search is not available for this dataset
query stringlengths 7 355k | document stringlengths 9 341k | metadata dict | negatives listlengths 0 101 | negative_scores listlengths 0 101 | document_score stringlengths 3 10 | document_rank stringclasses 102 values |
|---|---|---|---|---|---|---|
given the collection of standup reports, collates the entire report | function getReportDisplay(standupReports) {
if (!standupReports) {
return "*There is no standup data to report.*";
}
var totalReport = "*Standup Report*\n\n";
for (var user in standupReports) {
var report = standupReports[user];
totalReport += getSingleReportDisplay(report);
}
return totalReport;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"static merge(reports) {\n const valid = reports.every((report) => report.valid);\n const merged = {};\n reports.forEach((report) => {\n report.results.forEach((result) => {\n const key = result.filePath;\n if (key in merged) {\n merge... | [
"0.5859966",
"0.5847742",
"0.5773973",
"0.56990427",
"0.55929637",
"0.5524131",
"0.5523469",
"0.5456793",
"0.5411935",
"0.540643",
"0.54032606",
"0.54032606",
"0.53966814",
"0.53822637",
"0.52842146",
"0.5282263",
"0.5263722",
"0.5193387",
"0.51875335",
"0.5161858",
"0.515795... | 0.5408388 | 9 |
builds a string that displays a single user's standup report | function getSingleReportDisplay(standupReport) {
var report = "*" + standupReport.userName + "* did their standup at " + standupReport.datetime + "\n";
report += "_What did you work on yesterday:_ `" + standupReport.yesterdayQuestion + "`\n";
report += "_What are you working on today:_ `" + standupReport.todayQuestion + "`\n";
report += "_Any obstacles:_ `" + standupReport.obstacleQuestion + "`\n\n";
return report;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function getReportDisplay(standupReports) {\n \n if (!standupReports) {\n return \"*There is no standup data to report.*\";\n }\n\n var totalReport = \"*Standup Report*\\n\\n\";\n for (var user in standupReports) {\n var report = standupReports[user];\n totalReport += getSingleR... | [
"0.68696153",
"0.67091095",
"0.58703655",
"0.58037055",
"0.5690617",
"0.56840926",
"0.56504303",
"0.5626813",
"0.55754954",
"0.5566497",
"0.55646896",
"0.5559293",
"0.54887426",
"0.5483268",
"0.5476705",
"0.5465037",
"0.54605424",
"0.5443541",
"0.54333824",
"0.5423004",
"0.54... | 0.75525874 | 0 |
Obtengo los medicamentos de un determinado paciente | function getMedicamentosPaciente(req, res){
console.log('- GET MEDICAMENTOS PACIENTE -');
var query = Paciente.findById(req.params.idPaciente);
query.populate({
path: 'medicamentos',
model: 'Medicamento'
})
.exec(function (err, paciente) {
if (err) {
return res.status(400).json({
title: 'An error occurred',
error: err
});
}
if (!paciente) {
return res.status(404).json({
title: 'Error',
error: 'Paciente no encontrado'
});
}
res.status(200).json({
message: 'Success',
obj: paciente.medicamentos
});
});
/*console.log("El paciente: "+paciente);
//preguntar como itero y obtengo los valores..
console.log("id paciente: "+paciente._id+" Consumicion paciente: "+paciente.consumiciones);
paciente.consumiciones.forEach(element => {
Medicamento.findById(element.medicamento, function (err, medicamentos) {
if (err) {
return res.status(400).json({
title: 'Error',
error: err
});
}
if (!medicamentos) {
return res.status(404).json({
title: 'Error',
error: err
});
}
res.status(200).json({
message: 'Success',
obj: medicamentos
});
});
});*/
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function diasMonitoradosPaciente() {\n\tvar diasMonitorados = pacientesJson[numIdPacAtual].diasMonitorados;\n\n\treturn diasMonitorados;\n}",
"function obtenerPacientes() {\n return pacientes;\n}",
"function getMissionMeta () {\n Mission.getMissionMeta(vm.missionID) \n .then(function (missionDat... | [
"0.66760886",
"0.6577735",
"0.5897365",
"0.58847046",
"0.586581",
"0.5826479",
"0.5785089",
"0.57821685",
"0.5718523",
"0.5701656",
"0.5685478",
"0.5684123",
"0.56406814",
"0.5619061",
"0.5607755",
"0.55937815",
"0.55599284",
"0.55578953",
"0.55327165",
"0.5508442",
"0.550071... | 0.6068864 | 2 |
Handles a value change within this application's top controller. | function handleTopChanged () {
org.fftlab.APPLICATION.transformTopToBottom();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"change() {\n this._updateValueProperty();\n\n this.sendAction('action', this.get('value'), this);\n }",
"function valueChanged() {\n debug && console.log( \"ManageWorkOrderRepairDetails: value changed\" );\n JSONData.setUnsavedChanges( true, \"manageWorkOrderSave\" );\n }",
"function ha... | [
"0.70386714",
"0.6580312",
"0.645076",
"0.6419568",
"0.6363013",
"0.63515925",
"0.63312304",
"0.6284234",
"0.6241777",
"0.6241287",
"0.62380415",
"0.61897504",
"0.6117865",
"0.6097524",
"0.6079965",
"0.60366",
"0.60191476",
"0.5981911",
"0.59660035",
"0.59660035",
"0.59653836... | 0.0 | -1 |
Handles a value change within this application's bottom controller. | function handleBottomChanged () {
org.fftlab.APPLICATION.transformBottomToTop();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"change() {\n this._updateValueProperty();\n\n this.sendAction('action', this.get('value'), this);\n }",
"_valueChanged() {\n // Send a global refresh to the bapge body.\n var event = new Event(\"change\");\n this._root.dispatchEvent(event);\n }",
"function valueChanged() {\n ... | [
"0.6967543",
"0.6920667",
"0.6835909",
"0.6658889",
"0.6596557",
"0.65901476",
"0.65281105",
"0.64454955",
"0.6380449",
"0.63738567",
"0.6373579",
"0.6373579",
"0.6352901",
"0.63458955",
"0.62582105",
"0.6220317",
"0.61975396",
"0.6194963",
"0.6180379",
"0.6146054",
"0.614286... | 0.0 | -1 |
Fonction pour inverser la couleur HEX | function invertColor(col){
if (col == "#808080")
return "#999999";
const colors = ['0', '1', '2', '3', '4', '5', '6', '7',
'8', '9', 'a', 'b', 'c', 'd', 'e', 'f'];
let inverseColor = '#';
col.replace('#','').split('').forEach(i => {
const index = colors.indexOf(i);
inverseColor += colors.reverse()[index];
});
return inverseColor;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function inverseHex(h){\n var hex = h.substr(1).toUpperCase();\n var inv_val = \"#\";\n\n var h_vals = {\"A\": 5, \"B\": 4, \"C\": 3, \"D\": 2, \"E\": 1, \"F\": 0};\n var inv_h_vals = [\"F\", \"E\", \"D\", \"C\", \"B\", \"A\", \"9\", \"8\", \"7\", \"6\", \"5\", \"4\", \"3\", \"2\", \"1\", \"0\"];\n\n ... | [
"0.74479896",
"0.6967258",
"0.66854167",
"0.6680756",
"0.65849745",
"0.65136343",
"0.6486934",
"0.6454508",
"0.6443687",
"0.6441389",
"0.6441389",
"0.64271116",
"0.64229",
"0.6422503",
"0.63987625",
"0.6343833",
"0.63082755",
"0.6298101",
"0.6191495",
"0.6168584",
"0.6165069"... | 0.5779988 | 95 |
let table10PositionX = 5; let table10PositionY = 7; let table10 = new Table(table10PositionX, table10PositionY, 10); | function Table(i, j, n) {
this.i = i;
this.j = j;
this.n = n;
this.edges = [];
this.searched = false;
this.parent = null;
this.f = 0;
this.g = 0;
this.h = 0;
this.weight = 1;
this.show = () => {
let x = i * w;
let y = j * w;
// draw a cell with table and it's number
stroke(250);
fill('#e4e4e4');
rect(x, y, w, w);
image(tableImg, x + 8, y + 14, img.width / 1.3, img.height / 1.3);
}
this.addEdges = arr => {
/* tables don't have edges */
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function Table() {\r\n}",
"function Table() {\n\tthis.commonCards = [];\n\n\t//make table deck from cards class\n\tthis.deck = new Cards();\n\tthis.players = [];\n\tthis.myPosition = Math.floor(Math.random() * (10 - 1)) + 1;\n\tthis.myHand = [];\n\tthis.othersHands = [];\n\tthis.communityCards = [];\n\n}",
"fu... | [
"0.72494125",
"0.71040285",
"0.6949791",
"0.6908907",
"0.6726849",
"0.6726039",
"0.6655984",
"0.6645612",
"0.65821755",
"0.6503481",
"0.64891595",
"0.6433516",
"0.64133537",
"0.63974714",
"0.63968617",
"0.63934374",
"0.6389266",
"0.63639504",
"0.6294264",
"0.62737",
"0.627180... | 0.6282029 | 19 |
text configuration for start, game over and win | function startGame() {
var screen = new GameScreen("HK Space Police","press space to start",
function() {
Game.loadBoard(new GameBoard(1));
});
Game.loadBoard(screen);
Game.loop();
/* game background song */
myAudio = new Audio('sound/spacebattle2.wav');
if (typeof myAudio.loop == 'boolean')
{
myAudio.loop = true;
}
myAudio.play();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function Instructions() {\n background(colorList[0]);\n \n textSize(100);\n textAlign(CENTER);\n fill(colorList[2]);\n text(\"How to Play\", width/2, 100);\n\n textSize(50);\n textAlign(LEFT);\n fill(colorList[4]);\n text(\"Hold W to toggle the Head\\nHold s to toggle the middle body\\nHold a to toggle t... | [
"0.6804581",
"0.673038",
"0.6643339",
"0.65729374",
"0.6440953",
"0.6354138",
"0.63337165",
"0.6326226",
"0.63208",
"0.63196033",
"0.62945724",
"0.6240662",
"0.6229601",
"0.6215396",
"0.621333",
"0.6199451",
"0.6170604",
"0.6163665",
"0.6155735",
"0.61370057",
"0.61261034",
... | 0.0 | -1 |
return "Hello, " + person; } | function greeter(person) {
return "Hi " + person.firstName + " " + person.lastName;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function person(name) {\n return \"I think\" + name + \"is a cool guy\";\n}",
"function greeter2(person) {\n return \"Aloha \" + person + \"!\";\n}",
"function greeter(person) {\n return \"Hello, \" + person;\n}",
"hello(someone) {\n return \"hello, \"+ someone\n }",
"function sayName(pers... | [
"0.83308357",
"0.82673615",
"0.82393354",
"0.7925421",
"0.7888341",
"0.7842417",
"0.7716826",
"0.7624223",
"0.76173675",
"0.7573261",
"0.7572713",
"0.7570779",
"0.7568589",
"0.75617194",
"0.7533274",
"0.751613",
"0.7516",
"0.75083584",
"0.75056255",
"0.74988335",
"0.74911076"... | 0.8291874 | 1 |
Game logic// Makes sure there is no winner before the game starts | function startGame(){
document.winner = null;
setMessage(player1 + " gets to start!");
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"checkForWinner() {\n if (this.primaryWinConditionsCheck()) {\n this.endGame();\n }\n }",
"checkForWin() {\n if (this.numMafia <= 0) { this.gameState = TOWN_WIN; }\n if (this.getInnocentPlayerCount() <= 0) { this.gameState = MAFIA_WIN; }\n }",
"checkForWin() {\n i... | [
"0.7918461",
"0.7475996",
"0.7290871",
"0.72637683",
"0.71598727",
"0.7147194",
"0.71239096",
"0.7073445",
"0.70607746",
"0.7053345",
"0.7046313",
"0.70215315",
"0.7016849",
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"0.6997564",
"0.69965994",
"0.6990546",
"0.6960273",
"0.6958654",
"0.6956176",
"0.69518536... | 0.67979187 | 50 |
Creates messages for who's turn it is or whoever won. Displayed in html | function setMessage(msg){
document.getElementById('gameMessage').innerHTML = msg;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"_createDynamicMessage(){\n this._$dynamicMsg.empty();\n\n let currentPlayer;\n if(this.model.currentPlayer == \"x\") currentPlayer = \"<span class='x'>Player 1</span>\";\n else currentPlayer = \"<span class='o'>Player 2</span>\";\n let string = \"<h3>\";\n\n ... | [
"0.708287",
"0.70616657",
"0.69162214",
"0.668206",
"0.66761035",
"0.6496092",
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"0.62951624",
"0.6269166",
"0.62655324",
"0.62344044",
"0.6232538",
"0.62221... | 0.0 | -1 |
Determine whose turn it is. | function switchTurn(){
if (checkForWinner (player1)){
setMessage (player1 + " wins!!");
document.winner = player1;
} else if (player1 == "X") {
player1 = "O";
setMessage(player1 + "'s turn to pick!");
}else {
player1 = "X"
setMessage(player1 + "'s turn to pick!");
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function isMyTurn() {\n return playerId == turn;\n}",
"getNextTurn () {\n // continue turn for same player if they just ate an enemy coin\n if (this._didEatEnemyCoin) {\n this._didEatEnemyCoin = false // reset flag\n return this.currentTurn\n }\n\n // continue turn for same player if the... | [
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"0.6097121",
"0.60262924",
"0.599816... | 0.0 | -1 |
This determines if the move has already resulted in the person winning or if a cell has already been occupied. | function playerMove(cell) {
if (document.winner != null) {
setMessage(document.winner + " has already won the game!");
} else if (cell.innerHTML == ""){
cell.innerHTML = player1;
switchTurn();
} else {
setMessage("Position already taken.");
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function isWinningMove() {\n var hori = count(0, -1) + count(0, 1) - 1;\n var vert = count(-1, 0) + count(1, 0) - 1;\n var diag = count(1, -1) + count(-1, 1) - 1;\n var antd = count(1, 1) + count(-1, -1) - 1;\n // console.log(\"horizontal: \" + hori);\n // console.log(\"vertical: \" + vert);\n ... | [
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"0.67956686",
"0.67941564",
"0.6793112",
"0.67795557"... | 0.65262496 | 69 |
Winning combinations Determines which cell number is clicked so that it can be used for the checkRow function | function getBox (number) {
return document.getElementById("cell"+number).innerHTML;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function handleClick (evt) {\n //Checks game for win, if one player wins, ends game.\n if (checkForWin ()) {\n return endGame (\n `Game Over. Player ${currPlayer} won. Hit refresh to play again!`\n );\n }\n // get x from ID of clicked cell\n //row = top -> ID -> tr -> #column-top -> height -> y\n ... | [
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"0.66336966",
"0.66101444",
"0.6609261",
"0.6593005",
"0.6572265... | 0.0 | -1 |
Check to see if the moves have resulted in 3 in a row. | function checkRow (a, b, c, move) {
var result = false;
if (getBox(a) == move && getBox(b) == move && getBox(c) == move) {
result = true;
};
return result;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function checkWiningRowMove(p) {\n //0,1,2 3,4,5 6,7,8\n var ret = false;\n var r1 = _matrix[0][0] + _matrix[0][1] + _matrix[0][2];\n var r2 = _matrix[1][0] + _matrix[1][1] + _matrix[1][2];\n var r3 = _matrix[2][0] + _matrix[2][1] + _matrix[2][2];\n\n if (r1 === p.repeat... | [
"0.7784433",
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"0.7030792",
"0.6985195",
"0.69706374",
"0.69657284",
"0.69411016",
"0.691... | 0.75067693 | 2 |
Determines if the row is one of the winning combinations | function checkForWinner(move) {
var result = false;
if (checkRow(1, 2, 3, move) || checkRow(4, 5, 6, move) ||
checkRow(7, 8, 9, move) || checkRow(1, 4, 7, move) ||
checkRow(2, 5, 8, move) || checkRow(3, 6, 9, move) ||
checkRow(1, 5, 9, move) || checkRow(3, 5, 7, move)) {
result = true;
};
return result;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function checkWin() {\n for (let i = 0; i < winningCombinations.length; i++) {\n let pattern = winningCombinations[i];\n let [a, b, c] = pattern;\n if ( currentCells[a] === currentCells[b] && currentCells[b] === currentCells[c] ) {\n return true;\n }\n }\n return false;\n}",
"function checkWi... | [
"0.75367916",
"0.7323091",
"0.73075527",
"0.72247434",
"0.7200272",
"0.7142273",
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"0.6817677",
"0.67861307",
"0.6779591",
"0.67776483",
"0.6771... | 0.0 | -1 |
COUNT items in each brand | countItemsInBrand(getBrandArr, getItemsArr) {
for (let i = 0; i < getBrandArr.length; i++) {
var tmp = getItemsArr.filter((item) => item.subcategoryArr.id === getBrandArr[i].id).length;
getBrandArr[i].itemCount = tmp;
}
return getBrandArr;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"countOfItems() {\n var count = 0\n for (var sku in this.items) {\n var li = this.items[sku]\n count = Number(count) + Number(li.quantity)\n }\n return count\n }",
"itemsCount() {\n return this._checkoutProducts\n .map((checkoutProduct) => checkoutProdu... | [
"0.67231584",
"0.6563493",
"0.63034475",
"0.62030816",
"0.6187013",
"0.60876316",
"0.60441923",
"0.6032323",
"0.59975",
"0.59230274",
"0.5913571",
"0.59081304",
"0.590752",
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"0.5869655",
"0.5868861",
"0.5865619",
"0.5865054",
"0.58574206",
"0.5835562",
"0.5833918"... | 0.7266751 | 0 |
OFF FULLSCREEN OVERLAY MENU | function handleFullscreenMenu() {
$('#off-fullscreen-menu li').each(function() {
if ($(this).hasClass('menu-item-has-children')) {
$(this).children().first().attr('href', '#');
if ($(this).hasClass('mega-menu')) {
$(this).removeClass('mega-menu');
}
}
});
$('#off-fullscreen-menu li.menu-item-has-children > a').append('<span class="fullscreen-dropdown-toggle"></span>');
$('body').on('click', '[data-toggle="fullscreen-menu"]', function(e) {
//$('.toggle-menu').toggleClass('active');
e.preventDefault();
e.stopPropagation();
$('body').toggleClass('full-menu-open');
$('#off-fullscreen-menu').toggleClass('full-menu-open');
$('body').on('click', '#off-fullscreen-menu nav > ul li > a', function(e) {
e.preventDefault();
e.stopPropagation();
var targetLink = $(this).attr('href');
if (targetLink != '#' && targetLink != '') {
$('body').fadeOut(350, function() {
window.location.href = targetLink;
});
}
if ($(this).hasClass('is-open')) {
$(this).removeClass('is-open');
$(this).next().slideUp(300);
} else {
$(this).parent('.submenu').parent().find('.is-open').next().slideUp(300);
$(this).parent('.submenu').parent().find('.is-open').removeClass('is-open');
$(this).addClass('is-open');
$(this).next().slideDown(300);
}
});
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function OCM_fullscreenAltOpen() {\r\n\t\t\t\t\t\r\n\t\t\t\t\tif ($('body.material').length > 0) {\r\n\t\t\t\t\t\t$('header#top .slide-out-widget-area-toggle a').addClass('menu-push-out');\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\t$('header#top .slide-out-widget-area-toggle:not(.std-menu) .lines-button').addClass(... | [
"0.6833504",
"0.6828152",
"0.67699605",
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"0.67699605",
"0.67404884",
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"0.64546734",
"0.6447622",
"0.6357631",
"0.6350292",
"0.63362837",
"0.6332... | 0.59259 | 67 |
MANAGE NAVIGATION LOGO / BACKGROUND COLOR Header on Scroll | function navbarScroll() {
if ( windowWidth > 1000 && topnav.length > 0 ) {
var topScroll = $(window).scrollTop();
var logoImg = $('body').find('#logo a img');
var logoLight = $('body').find('#logo a').data('logo-light');
var logoDark = $('body').find('#logo a').data('logo-dark');
var $navSelectors = $('.main-nav,.main-nav ul.nav > li > a,.main-nav .nav-tools li a');
if ( wrapper.hasClass('onepage-special') ) return;
if ( wrapper.hasClass('header-light') ) {
logoImg.attr('src', logoDark);
}
if ( wrapper.hasClass('header-dark') ) {
logoImg.attr('src', logoLight);
}
if ( wrapper.hasClass('transparent-dark') ) {
logoImg.attr('src', logoDark);
}
if ( wrapper.hasClass('nav-bottom') ) {
return;
}
if ( wrapper.hasClass('header-transparent') && wrapper.hasClass('transparent-dark') ) {
logoImg.attr('src', logoDark);
}
var scrollHeight = header.data('scroll-height');
var finalScroll = topnavHeight - headerScrollHeight;
var zeroScroll = 0;
if ( $('#topbar').length > 0 ) {
finalScroll = finalScroll + topbarHeight;
zeroScroll = topbarHeight;
}
if ( topScroll > zeroScroll && topScroll <= finalScroll ) {
$navSelectors.css({ 'height' : topnavHeight - ( topScroll - zeroScroll ) });
} else if ( topScroll > finalScroll ) {
if ( !wrapper.hasClass( 'header-scroll-full' ) ) {
$navSelectors.css({ 'height' : scrollHeight });
wrapper.addClass('header-scroll-full');
header.removeClass( headerSkin ).addClass( headerScrollSkin );
wrapper.removeClass('topnav-top');
}
} else { // Initial State
$navSelectors.css({ 'height' : '' });
wrapper.addClass('topnav-top');
wrapper.removeClass('header-scroll-full');
header.removeClass( headerScrollSkin ).addClass( headerSkin );
}
if (wrapper.hasClass('dark-skin')) {
if (wrapper.hasClass('header-light')) {
wrapper.removeClass('header-light').addClass('header-dark');
} else {
logoImg.attr('src', logoLight);
}
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function style_header() {\n if ($(document).scrollTop() > $('#lead-content>h1').offset().top ) {\n $('header').css({\"background-color\":\"#000\",\"border-bottom\":\"2.5px solid #3498db\"});\n $('.logo').css(\"visibility\",\"visible\");\n } \n else {\n $('header').cs... | [
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"0.6783916",
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"0.65977097",
"0.65884733",
"0.65774775",
"0.6560479",
"0.6552... | 0.67566824 | 7 |
TOPBAR HIDE ON SCROLL | function handleTopNav() {
var $upperNav = $('.upper-nav-wrapper');
var upperNavHeight;
var classOut = 'nav-out';
if ( $upperNav.length && $(window).width() > 768 ) {
upperNavHeight = $upperNav.height();
if ( scrollPos > 0 && scrollPos <= upperNavHeight ) {
$upperNav.css( 'margin-top', - scrollPos );
$upperNav.removeClass( classOut );
//$('#main-navigation').css('top', 0);
} else if ( scrollPos > topbarHeight ) {
if ( !$upperNav.hasClass( classOut ) ) {
$upperNav.addClass( classOut );
$upperNav.css('margin-top', - upperNavHeight );
}
} else {
$upperNav.removeClass( classOut );
$upperNav.css('margin-top', 0);
//$('#main-navigation').css('top', topbarHeight);
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function initTopBar(){\n\tvar header = jQuery('#header')\n\tvar animSpeed = 400;\n\tvar win = jQuery(window);\n\tjQuery('.top-bar').each(function(){\n\t\tvar bar = jQuery(this);\n\t\tbar.css({\n\t\t\ttop: -bar.outerHeight()\n\t\t}).hide();\n\t\twin.bind('scroll resize orientationchange load', function(){\n\t\t\tif... | [
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"0.63919926",
"0.6389622",
"0.63764936",
"0.6369483",
"0.63693047",
"0.... | 0.0 | -1 |
NAVIGATION VISIBLE ONLY ON SCROLL TO TOP | function stickyNav() {
if ( $( '#sticky-nav' ).length ) {
var stickyNav = $('#sticky-nav');
var windowScrollTop = $(window).scrollTop();
if ( windowScrollTop >= stickyNav.data( 'scroll-amount' ) ) {
stickyNav.addClass( 'sticky-nav-visible' );
} else {
stickyNav.removeClass('sticky-nav-visible');
}
if ( windowScrollTop >= stickyNav.data( 'scroll-amount' ) - 250 ) {
header.removeClass( 'header-' + header.data( 'skin' ) ).addClass( 'header-' + header.data( 'scroll-skin' ) );
$('#wrapper').removeClass( 'topnav-top' );
} else {
header.removeClass( 'header-' + header.data( 'scroll-skin' ) ).addClass( 'header-' + header.data( 'skin' ) ).addClass( 'topnav-top' );
$('#wrapper').addClass( 'topnav-top' );
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function scroll_style() {\n var window_top = $(window).scrollTop();\n var div_top = 1;\n\n if (window_top > div_top){\n console.log('show navigation');\n $('#splash').slideUp(\"slow\");\n $('#loadSecond').fadeIn(\"slow\");\n $('#navbar').slideDown(\"slow\");\n } else {\n... | [
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"0.70821786",
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"0.68816125",
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"0.66287",
"0.66236174",
"0.66222817",
"0.6605184",
"0.6589516",
"0.6587... | 0.6193265 | 100 |
HEADER NO STICKY EFFECT | function headerNoSticky() {
scrollPos = $(window).scrollTop();
if ($('.header-no-sticky #main-navigation:not(.header-2)').length) {
var st = $(this).scrollTop();
if (st > lastScrollTop) {
$('.header-no-sticky #main-navigation').removeClass('nav-visible');
} else {
$('.header-no-sticky #main-navigation').addClass('nav-visible');
}
if (st > 0) {
$('#main-navigation .main-nav-wrapper').css('background', '#fff');
} else {
$('#main-navigation .main-nav-wrapper').css('background', '');
}
lastScrollTop = st;
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function hhunHeaderEffect() {\r\n\t\t\t\t\t\r\n\t\t\t\t\tvar previousScroll = 0, // previous scroll position\r\n\t\t\t\t\tmenuOffset = 250, // height of menu (once scroll passed it, menu is hidden)\r\n\t\t\t\t\thideShowOffset = 6; // scrolling value after which triggers hide/show menu\r\n\t\t\t\t\t\... | [
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"0.6520242",
"0.6499889",
"0.64820725",
"0.6475748",
"0.646631... | 0.0 | -1 |
TOPBAR HIDE ON SCROLL | function handleTopbar() {
if ($('#topbar').length && $(window).width() > 768 && !wrapper.hasClass('header-no-sticky')) {
if ($('#header').hasClass('header-2')) {
var header2Height = $('.header-2 .main-nav-wrapper').height();
var windowScrollTop = $(window).scrollTop();
if (windowScrollTop >= topbarHeight + header2Height) {
$('.header-2 .main-nav-wrapper').css('position', 'fixed').css('width', '100%').css('top', 0);
} else {
$('.header-2 .main-nav-wrapper').attr('style', '');
}
} else {
if (scrollPos > 0 && scrollPos <= topbarHeight) {
$('#topbar').css('margin-top', - scrollPos);
$('#topbar').removeClass( 'topbar-out' );
//$('#main-navigation').css('top', 0);
} else if (scrollPos > topbarHeight ) {
if ( !$('#topbar').hasClass( 'topbar-out' ) ) {
$('#topbar').addClass( 'topbar-out' );
$('#topbar').css('margin-top', - topbarHeight);
}
} else {
$('#topbar').removeClass( 'topbar-out' );
$('#topbar').css('margin-top', 0);
//$('#main-navigation').css('top', topbarHeight);
}
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function initTopBar(){\n\tvar header = jQuery('#header')\n\tvar animSpeed = 400;\n\tvar win = jQuery(window);\n\tjQuery('.top-bar').each(function(){\n\t\tvar bar = jQuery(this);\n\t\tbar.css({\n\t\t\ttop: -bar.outerHeight()\n\t\t}).hide();\n\t\twin.bind('scroll resize orientationchange load', function(){\n\t\t\tif... | [
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"0.63919926",
"0.6389622",
"0.63764936",
"0.6369483",
"0.63693047",
"0.... | 0.60453784 | 61 |
Page Title Vertical Align | function pageTitle(){
if ( $(window).width() >= 1000 && pageTitleResized == false ) {
$('#ins-page-title').each(function() {
var marginTop = 55;
var extra = 0;
var titleInner = $(this).find( '.ins-page-title-inner' );
var titleInnerHeight = titleInner.height();
if( $('#header').length ) {
extra = 80 / 2;
}
if( $('#topbar').length ) {
extra += $('#topbar').height() / 2;
}
if( $('.bottom-nav-wrapper').length ) {
extra += $('.bottom-nav-wrapper').height() / 2;
}
marginTop = extra;
$(this).find( '.ins-page-title-inner' ).css( 'margin-top', marginTop );
pageTitleResized = true;
});
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function fTitlePlacement (elem, ht, vPos) {\n fAnimateHeight (elem, ht);\n fAnimateTop (elem, vPos);\n }",
"function fTitlePlacement (elem, ht, vPos) {\n fAnimateHeight (elem, ht);\n fAnimateTop (elem, vPos);\n }",
"function getPageTitle () {\n return title;\n }",
"function createTitlePages... | [
"0.6289992",
"0.6289992",
"0.620483",
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"0.6076659",
"0.597595",
"0.5893578",
"0.586862",
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"0.5738883",
"0.5716012",
"0.57087487",
"0.5697498",
"0.56831956",
"0.5679236",
"0.5669497",
"0.5648148",
"0.... | 0.6583696 | 0 |
Create a new zbDigitalClock object. | constructor() {
// Must call super first
super();
// Create the CSS parts for the shadow DOM
const style = document.createElement('style');
// Set style
style.textContent = `
:host {
display: inline-block;
}
.root12 {
min-width: 280px;
min-height: 100px;
height: 100%;
width: 100%;
background-color: rgb(48, 48, 48);
display: grid;
grid-template-columns: 4fr 4fr 1fr 4fr 4fr 2fr;
grid-template-rows: 1fr;
grid-column-gap: 0.5em;
padding: 0.4em;
}
.root24 {
min-width: 280px;
min-height: 100px;
height: 100%;
width: 100%;
background-color: rgb(48, 48, 48);
display: grid;
grid-template-columns: 4fr 4fr 1fr 4fr 4fr;
grid-template-rows: 1fr;
grid-column-gap: 0.5em;
padding: 0.4em;
}
.digit {
height: 100%;
display: grid;
grid-template-columns: 1fr 2fr 1fr;
grid-template-rows: 1fr 2fr 1fr 2fr 1fr;
grid-column-gap: 1px;
grid-row-gap: 1px;
}
.digit-line-on {
background-color: rgb(248, 248, 248);
}
.digit-line-off {
background-color: rgb(55, 55, 55);
}
.digit-gap {
background-color: rgb(48, 48, 48);
}
.dots {
height: 100%;
display: grid;
grid-template-columns: 1fr;
grid-template-rows: 2fr 1fr 3fr 1fr 2fr;
grid-column-gap: 1px;
grid-row-gap: 1px;
}
.dot {
background-color: rgb(248, 248, 248);
border-radius: 50%;
}
.ampm {
height: 100%;
display: grid;
grid-template-columns: 1fr;
grid-template-rows: 1fr 1fr;
grid-column-gap: 1px;
grid-row-gap: 1px;
font-family: "Lucida Console", Courier, monospace;
font-size: 1em;
}
.ampm-parent {
position: relative;
width: 100%;
height: 100%;
}
.ampm-child {
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
}
.ampm-on {
color: rgb(248, 248, 248);
}
.ampm-off {
color: rgb(55, 55, 55);
}
@keyframes blink {
50% {
opacity: 0.0;
}
}
.blink {
animation: blink 1s step-start 0s infinite;
}`;
// Attach shadow DOM root
this._shadowRoot = this.attachShadow({mode: 'open'});
// Add styles
this._shadowRoot.appendChild(style);
// Bind update event to this
this._update = this._update.bind(this);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"_create() {\n // Set show 24 hour clock\n let show24HourClock = false;\n\n // If there is a show 24 hour clock attribute\n if (this.hasAttribute('show24hour') === true) {\n // Set to show 24 hour clock\n show24HourClock = true;\n }\n\n // Create root ... | [
"0.5641572",
"0.5471911",
"0.53663963",
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"0.52459407",
"0.5147853",
"0.5140225",
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"0.5110032",
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"0.4877259",
"0.48505768",
"0.48271105",
"0.48216093",
"0.48194742",
"0.47990417",
"0.4... | 0.0 | -1 |
Override connectedCallback function to handle when component is attached into the DOM. | connectedCallback() {
// Create parts
this._create();
// Update to the current time
this._update();
// Start clock
this._timerId = setInterval(this._update, 1000);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"connectedCallback() {\n // Do things when component is added to the DOM\n }",
"connectedCallback() {\r\n\t\t\tthis._domAttached = true;\r\n\t\t}",
"connectedCallback(){\n\n //Though here DOM is inserted, but not rendered, so you can change the attribute \n //but you cannot manipulate the ... | [
"0.8603147",
"0.81673336",
"0.8071765",
"0.8056886",
"0.79146945",
"0.78885263",
"0.78766465",
"0.7840403",
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"0.7813992",
"0.76180124",
"0.7584181",
"0.7568622",
"0.7550421",
"0.7505771",
"0.7474685",
"0.7424241",
"0.7381253",
"0.7378645",
"0.7378645... | 0.0 | -1 |
Override disconnectedCallback function to handle when component is detached from the DOM. | disconnectedCallback() {
// If timer exists
if (this.timerId) {
// Clear timer
clearInterval(this._timerId);
// Remove timer id
delete this._timerId;
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"disconnectedCallback () {\r\n console.log('Component disconnect!')\r\n }",
"disconnectedCallback() {\n // Detect super?\n if (this.removeEvents) this.removeEvents();\n }",
"disconnectedCallback () {\n this._shadowElement = null;\n this._listeners.forEach(([evt, f]) => this.removeEventListener(... | [
"0.80025643",
"0.7850981",
"0.7760064",
"0.7722052",
"0.7703584",
"0.75908214",
"0.7568651",
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"0.7400944",
"0.7372546",
"0.7362139",
"0.73553926",
"0.7346556",
"0.73222655... | 0.0 | -1 |
Create the DOM elements. | _create() {
// Set show 24 hour clock
let show24HourClock = false;
// If there is a show 24 hour clock attribute
if (this.hasAttribute('show24hour') === true) {
// Set to show 24 hour clock
show24HourClock = true;
}
// Create root DIV
const rootDiv = document.createElement('div');
// Set root class
if (show24HourClock === true) {
// Set to use the root24 class
rootDiv.setAttribute('class', 'root24');
} else {
// Set to use the root12 class
rootDiv.setAttribute('class', 'root12');
}
// Create digit line element list
this._digit = [4];
this._digit[0] = {};
this._digit[1] = {};
this._digit[2] = {};
this._digit[3] = {};
// Create digit DOM elements
const digit1DomElement = this._createDigit(0);
const digit2DomElement = this._createDigit(1);
const dotsDomElement = this._createDots();
const digit3DomElement = this._createDigit(2);
const digit4DomElement = this._createDigit(3);
// Append DOM elements to the root DIV
rootDiv.appendChild(digit1DomElement);
rootDiv.appendChild(digit2DomElement);
rootDiv.appendChild(dotsDomElement);
rootDiv.appendChild(digit3DomElement);
rootDiv.appendChild(digit4DomElement);
// If showing 12 hour clock
if (show24HourClock === false) {
// Create AM PM DOM elements
const ampmDomElement = this._createAmpm();
// Append to the root DIV
rootDiv.appendChild(ampmDomElement);
}
// If there is a current root DIV
if (this._rootDiv) {
// Remove current root DIV from shadow DOM
this._shadowRoot.removeChild(this._rootDiv);
}
// Set the new current root DIV
this._rootDiv = rootDiv;
// Add root DIV to shadow DOM
this._shadowRoot.appendChild(this._rootDiv);
// If there is a current time then remove it
if (this._currentTime) delete this._currentTime;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"_createDOMElements() {\n\t\tthis.$control = $( this.template( this.controlOptions ) );\n\t\tthis.$sliderGroup = this.$control.find( '.slider-group' );\n\t\tthis.$units = this.$control.find( '.unit' );\n\t\tthis.$revert = this.$control.find( '.undo' );\n\t\tthis.$deleteSaved = this.$control.find( '.delete-saved .re... | [
"0.75377023",
"0.73833424",
"0.68896383",
"0.67572",
"0.6748092",
"0.67387784",
"0.6619444",
"0.65832704",
"0.6501774",
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"0.6474412",
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"0.6425917",
"0.6410774",
"0.64088136",
"0.640828",
"0.63849884",
"0.6360732",
"0.6358413... | 0.0 | -1 |
Update the time shown. | _update() {
// Get time now
const time = zbTime.getNow();
// If there is a current time
if (this._currentTime) {
// If nothing has changed then stop here
if (this._currentTime.hour === time.hour && this._currentTime.minute === time.minute) return;
}
// Update current time
this._currentTime = time;
// Set show 24 hour clock
let show24HourClock = false;
// If there is a show 24 hour clock attribute
if (this.hasAttribute('show24hour') === true) {
// Set to show 24 hour clock
show24HourClock = true;
}
// Set hour
let hour = time.hour;
// If showing 12 hour clock and over 12 hours
if (show24HourClock === false && hour > 12) {
// Minus 12 hours
hour -= 12;
}
// Set digit numbers
let digit1Number = Math.floor(hour / 10);
const digit2Number = hour % 10;
const digit3Number = Math.floor(time.minute / 10);
const digit4Number = time.minute % 10;
// If showing 12 hour clock and digit 1 number is zero
if (show24HourClock === false && digit1Number === 0) {
// Set the digit 1 number so that it hides the number
digit1Number = -1;
}
// Set the digit lines
this._setDigitLines(this._digit[0], digit1Number);
this._setDigitLines(this._digit[1], digit2Number);
this._setDigitLines(this._digit[2], digit3Number);
this._setDigitLines(this._digit[3], digit4Number);
// If 12 hour clock shown
if (show24HourClock === false) {
// If AM
if (this._currentTime.hour < 12) {
// Show AM
this._amChildDomElement.className = 'ampm-child ampm-on';
this._pmChildDomElement.className = 'ampm-child ampm-off';
} else {
// Show PM
this._amChildDomElement.className = 'ampm-child ampm-off';
this._pmChildDomElement.className = 'ampm-child ampm-on';
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function updateDisplayTime() {\n\t\tvar date = new Date();\n\n\t\tvar hours = date.getHours();\n\t\tvar minutes = date.getMinutes();\n\t\tvar seconds = date.getSeconds();\n\t\tvar year = date.getFullYear();\n\t\tvar month = date.getMonth() + 1;\n\t\tvar day = date.getDate();\n\t\tvar ampm = \"AM\";\n\n\t\tif (hour... | [
"0.8220673",
"0.81059754",
"0.81059754",
"0.81020766",
"0.8086411",
"0.80284166",
"0.8005713",
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"0.7666346",
"0.7655977",
"0.7650111",
"0.7639872",
"0.75995934",
"0.7588122",
"0.758... | 0.0 | -1 |
Write password to the password input | function writePassword() {
var password = generatePassword();
var passwordText = document.querySelector("#password");
passwordText.value = password;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function writePassword() {}",
"function writePassword() {\n var password = getPasswordOptions();\n var passwordText = document.querySelector('#password');\n \n passwordText.value = password;\n }",
"function writePassword() {\n var password = generatePassword();\n var passwordText = document.qu... | [
"0.8859371",
"0.85438496",
"0.8511671",
"0.8501158",
"0.8490387",
"0.848501",
"0.8472282",
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"0.8400749",
"0.8393203",
"0.83766234",
"0.83703816",
"0.83647054",
"0.83603424"... | 0.0 | -1 |
Function to randomize the contents of an array using a FisherYates shuffle. | function shuffle(array) {
var m = array.length,
t,
i;
while (m) {
i = Math.floor(Math.random() * m--);
t = array[m];
array[m] = array[i];
array[i] = t;
}
return array;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function fisherYates( array ){\n var count = array.length,\n randomnumber,\n temp;\n let lastTime = performance.now();\n while( count ){\n randomnumber = Math.random() * count-- | 0;\n temp = array[count];\n array[count] = array[randomnumber];\n array[randomnumber] = temp\n if (count % ... | [
"0.79371905",
"0.79177195",
"0.7914589",
"0.78819424",
"0.7864475",
"0.7863797",
"0.7858038",
"0.7857936",
"0.78462774",
"0.7832736",
"0.7829921",
"0.78258395",
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"0.78141314",
"0.7805906",
"0.7805508",
"0.78050596",
"0.7803428",
"0.7800158",
"0.7793... | 0.7824302 | 12 |
Function to create random integer | function getRandomInt(max) {
return Math.floor(Math.random() * Math.floor(max));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function generateNumber() {\n return Math.floor(Math.random() * 256);\n }",
"function getRandomInt(){\n return Math.floor(Math.random() * 10);\n}",
"function randomInt_1_10(){\n\treturn Math.floor(Math.random()*(10-1))+1;\n}",
"function getRandomNumber () {}",
"function randomint(){\n\tvar x = M... | [
"0.80871224",
"0.78889674",
"0.786766",
"0.78554755",
"0.78318495",
"0.7823074",
"0.7811263",
"0.7799612",
"0.77730757",
"0.7770198",
"0.7757815",
"0.7737801",
"0.7731033",
"0.7724623",
"0.7718095",
"0.77123886",
"0.7706171",
"0.7704853",
"0.7704505",
"0.7671307",
"0.766843",... | 0.0 | -1 |
start in null instead of false to start with spinner | componentWillMount() {
firebase.initializeApp(
{
apiKey: Config.API_KEY,
authDomain: Config.AUTH_DOMAIN,
databaseURL: Config.DATABASE_URL,
projectId: Config.PROJECT_ID,
storageBucket: Config.STORAGE_BUCKET,
messagingSenderId: Config.MESSAGING_SENDER_ID
});
firebase.auth().onAuthStateChanged((user) => {
if (user) {
this.setState({ loggedIn: true });
} else {
this.setState({ loggedIn: false });
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function showSpinner(){\n \tspinTarget.show();\n\t\tspinner.spin(spinTarget[0]);\n }",
"function spinner_modifier(fn){return function(){var previous=this.element.val();fn.apply(this,arguments);this._refresh();if(previous!==this.element.val()){this._trigger(\"change\")}}}",
"function spinner_modifier(fn){... | [
"0.6735049",
"0.66097325",
"0.65607125",
"0.65552855",
"0.652931",
"0.64487964",
"0.6442305",
"0.63579625",
"0.63573855",
"0.6344712",
"0.6260593",
"0.62505543",
"0.621469",
"0.6212818",
"0.62084234",
"0.62026036",
"0.61600375",
"0.6154299",
"0.6154299",
"0.6154299",
"0.61526... | 0.0 | -1 |
Like user by ID. sender_id is generated from localStorage, receiver_id is typed in in frontend | function likeUser(like) {
return new Promise((resolve, reject) => {
var sql = `INSERT INTO [GK7].likes (sender_id, receiver_id) VALUES (@sender_id, @receiver_id)`
const request = new Request(sql, (err) => {
if (err) {
reject(err)
console.log(err)
}
});
request.addParameter('sender_id', TYPES.Int, like.sender_id)
request.addParameter('receiver_id', TYPES.Int, like.receiver_id)
request.on('requestCompleted', (row) => {
resolve('Like inserted', row)
console.log('like inserted')
// checkMatch()
});
connection.execSql(request);
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function like() {\n LikeService.post(vm.user.username, $stateParams.id, vm.currentUser)\n .then(() => {\n loadLikes();\n vm.isLiked = true;\n\n // send notification to the given user\n if (vm.user._id != vm.currentUser._id) {\n ... | [
"0.7226867",
"0.6882414",
"0.6686427",
"0.6437629",
"0.63383657",
"0.62563604",
"0.6171645",
"0.6171558",
"0.61456615",
"0.6130881",
"0.6097248",
"0.60502404",
"0.60463125",
"0.6009326",
"0.5979843",
"0.5970867",
"0.59693384",
"0.5932927",
"0.59296644",
"0.5920503",
"0.591449... | 0.61116666 | 10 |
Boot up the Native Messaging and establish a connection with the host, indicated by hostName | function connect() {
var hostName = "com.google.chrome.example.echo";
port = chrome.runtime.connectNative(hostName);
port.onMessage.addListener(onNativeMessage);
port.onDisconnect.addListener(onDisconnected);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"connect() {\n\t\tthis._communicator.connect();\n\t}",
"function connect() {\n console.log(\"Connecting to `\" + localStorage.broker + \"` on port `\" + localStorage.port + \"`\");\n var clientId = \"myclientid_\" + parseInt(Math.random() * 100, 10);\n\n client = new Messaging.Client(localStorage.broker,... | [
"0.5986448",
"0.58668643",
"0.5841325",
"0.5841325",
"0.5785808",
"0.57438385",
"0.5655347",
"0.5622621",
"0.56021273",
"0.55080324",
"0.54482317",
"0.54211783",
"0.5416453",
"0.54157996",
"0.5405801",
"0.535047",
"0.53294265",
"0.5316533",
"0.5309893",
"0.5305062",
"0.530001... | 0.60736364 | 0 |
Send a Native Message to the Python Application, containing the URL of the current tab | function sendNativeMessage(message) {
// If port is open, send message
if (port) {
port.postMessage(message);
console.log("Sent message: " + JSON.stringify(message));
}
// Else, start up a connection and then send the message
else {
connect();
port.postMessage(message);
console.log("Sent message: " + JSON.stringify(message));
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function sendMessageToActiveTab(message, function_) {\n browser.tabs.query({\n currentWindow: true,\n active: true\n }).then(tabs => {\n for (let tab of tabs) {\n browser.tabs.sendMessage(\n tab.id,\n message\n ... | [
"0.66210353",
"0.65937024",
"0.6558327",
"0.6447561",
"0.64204913",
"0.6333605",
"0.63186896",
"0.62911415",
"0.6269889",
"0.6247669",
"0.62449896",
"0.6198687",
"0.61555487",
"0.61379516",
"0.61308444",
"0.61081505",
"0.60728145",
"0.6053696",
"0.60473967",
"0.604059",
"0.60... | 0.0 | -1 |
When it receives a message, update the fields accordingly | function onNativeMessage(message) {
document.getElementById('username').value = message['username'];
document.getElementById('passwd').value = message['password'];
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function messageChanged(event) {\r\n var value = (event ? event.target.value : undefined);\r\n // Update data\r\n updateMessage(value);\r\n // Update settings\r\n settings.msg = value;\r\n piSaveSettings();\r\n }",
"function handleMessageChange(event) {\n const nam... | [
"0.68784744",
"0.6605492",
"0.65390354",
"0.6449496",
"0.641622",
"0.6282208",
"0.62541574",
"0.61743677",
"0.6152933",
"0.61390966",
"0.61259294",
"0.6114855",
"0.6113724",
"0.6100701",
"0.6077725",
"0.6067522",
"0.605933",
"0.6027558",
"0.59991044",
"0.5992268",
"0.59915566... | 0.0 | -1 |
When disconnected from host, set port to null value so that it may reconnect at the next request | function onDisconnected() {
console.log("Failed to connect: " + chrome.runtime.lastError.message);
port = null;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"static set port(value) {}",
"repickHost() {\n this.host = null;\n var newHostId = Object.keys(this.socketNames)[0];\n this.host = newHostId ? newHostId : null;\n }",
"reset() {\n this.socket = this._newSocket();\n }",
"get port() { return this._port; }",
"reassignHostSocke... | [
"0.66604096",
"0.6570076",
"0.64096314",
"0.6310094",
"0.6273757",
"0.6256183",
"0.6221901",
"0.6196667",
"0.6173534",
"0.6066822",
"0.6055589",
"0.6055589",
"0.6052514",
"0.6027057",
"0.60181713",
"0.60075426",
"0.5991197",
"0.5986552",
"0.5976626",
"0.5960655",
"0.59246415"... | 0.6781185 | 0 |
Flip between a hidden password field and a regular text field | function showPassword() {
let button = document.getElementById('show-button');
let password_field = document.getElementById('passwd');
// If currently showing the password
if (password_field.type == 'text') {
password_field.type = 'password';
button.innerHTML = 'Show';
}
else {
password_field.type = 'text';
button.innerHTML = 'Hide';
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function showHiddenPassword() {\n let passwordInputField = document.getElementById(\"password\");\n if (passwordInputField.type === \"password\") {\n passwordInputField.type = \"text\";\n } else {\n passwordInputField.type = \"password\";\n }\n}",
"function showHidePass() {\n var x =... | [
"0.7626358",
"0.7535852",
"0.74935126",
"0.74562305",
"0.7447047",
"0.7408543",
"0.7390033",
"0.7378369",
"0.7378205",
"0.7374696",
"0.7314512",
"0.7306947",
"0.7304331",
"0.73033947",
"0.7260504",
"0.7230187",
"0.72220725",
"0.7171458",
"0.7159209",
"0.71274465",
"0.71120465... | 0.73151886 | 10 |
After 5 hours of debugging, I found out that sometimes the content script does not get automatically injected. Therefore, I ensure that the content script becomes injected by executing it explicitly. | function ensureSendMessage(tabId, message, callback){
chrome.tabs.executeScript(tabId, {file: "cscript.js"}, function(){
if(chrome.runtime.lastError) {
console.error(chrome.runtime.lastError);
throw Error("Unable to inject script into tab " + tabId);
}
// Now it's injected and ready, so send the message to the correct tab
chrome.tabs.sendMessage(tabId, message, callback);
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function injectScript() {\n log('Content script injected a \"detectable\" script');\n\n const injectScript = document.createElement('script');\n injectScript.type = 'text/javascript';\n injectScript.innerHTML = `\n (function() {\n // just for logging\n const msg = 'Content script executed the \"... | [
"0.6764311",
"0.67226905",
"0.6652307",
"0.65300083",
"0.648088",
"0.63694453",
"0.6362446",
"0.6333144",
"0.60529995",
"0.6031968",
"0.598077",
"0.5952544",
"0.59380627",
"0.59284914",
"0.5928205",
"0.5913311",
"0.5912139",
"0.5906892",
"0.5904725",
"0.5849885",
"0.58398265"... | 0.5210339 | 82 |
Search Bar Dont Touch | function myFunction() {
input = document.getElementById("myInput");
filter = input.value.toUpperCase();
table = document.getElementById("donorContents");
tr = table.getElementsByTagName("tr");
for (i = 0; i < tr.length; i++) {
td = tr[i].getElementsByTagName("td")[0];
if (td) {
txtValue = td.textContent || td.innerText;
if (txtValue.toUpperCase().indexOf(filter) > -1) {
tr[i].style.display = "";
} else {
tr[i].style.display = "none";
}
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function searchthis(e){\n $.search.value = \"keyword to search\";\n $.search.blur();\n focused = false;\n needclear = true;\n}",
"function focusSearchBoxListener(){ $('#query').val('').focus() }",
"search(e){\n \n\t e.preventDefault();\n\t let input = document.querySelector('#photo-search');\n\t ... | [
"0.74653494",
"0.7185204",
"0.71799463",
"0.7064914",
"0.70223504",
"0.70223504",
"0.7007839",
"0.69741684",
"0.6968857",
"0.69623065",
"0.69113153",
"0.6891925",
"0.68889374",
"0.6871818",
"0.6863558",
"0.6846418",
"0.68369764",
"0.68369764",
"0.68369764",
"0.6825098",
"0.68... | 0.0 | -1 |
const comments_data = comments.comments; | render() {
if (this.props.comments !== []) {
return (
<Fragment>
<AddComment />
<div className='container-sm '> {this.props.comments.map(comment => (
<div className=' card border-secondary mb-3' key={comment.id} >
<div className="card-header">
<div className="text-info">@ {comment.author} </div>
</div>
<div className="card-body mx-4">
<div>{comment.content}</div>
<div className=" font-weight-light text-muted text-right mr-5">{comment.created_at}</div>
</div>
</div>
))} </div>
</Fragment>
)
} else {
return null;
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"getAll() {\n return {\n comments: _comments\n };\n }",
"getComments(){\n\n }",
"_getComments() {\n const caption = this.caption.value.trim();\n\n if (!caption) return {};\n\n const { uid, username } = this.props.currentUser;\n const commentId = generateID('comment-');\n console.log(... | [
"0.77555406",
"0.7206142",
"0.6863943",
"0.67627776",
"0.6723962",
"0.66820943",
"0.6641964",
"0.6530375",
"0.65296185",
"0.65054595",
"0.64678425",
"0.64259714",
"0.63972294",
"0.6388312",
"0.6386385",
"0.6211964",
"0.61944175",
"0.61944175",
"0.61881816",
"0.6176987",
"0.61... | 0.0 | -1 |
take avg speed in min | componentWillReceiveProps(nextProps) {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"_getAverageSpeed()\r\n {\r\n let endTime = Date.now()\r\n // Get elapsed time in seconds.\r\n let elapsedTime = (endTime - this._startTime) / 1000;\r\n\r\n // Return average speed in m/s.\r\n return this._totalDistance / elapsedTime;\r\n }",
"averageSpeed(){\n var ... | [
"0.7375608",
"0.7062403",
"0.6942398",
"0.6856782",
"0.67140955",
"0.664992",
"0.65732014",
"0.6550614",
"0.64540654",
"0.63804847",
"0.628317",
"0.6246495",
"0.6246305",
"0.6243768",
"0.6196168",
"0.6167225",
"0.60871404",
"0.60601366",
"0.6036089",
"0.60248196",
"0.59943926... | 0.0 | -1 |
move_state return run state snake_state up: draw down: | constructor(cur)
{
this.cur = cur;
this.state = "runnable";
this.move_state = "null";
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function snakeMove() {\n\t\t\n\t\tif (snake.direction.x == UP.x && snake.direction.y == UP.y && NEXT_DIRECTION.x != DOWN.x && NEXT_DIRECTION.y != DOWN.y)\n\t\t\tsnake.direction = NEXT_DIRECTION;\n\n\t\tif (snake.direction.x == DOWN.x && snake.direction.y == DOWN.y && NEXT_DIRECTION.x != UP.x && NEXT_DIRECTION.y !=... | [
"0.7366036",
"0.71729314",
"0.7159492",
"0.71536195",
"0.7135584",
"0.7105555",
"0.6987568",
"0.6974797",
"0.69314945",
"0.69286644",
"0.6908212",
"0.68527406",
"0.6848052",
"0.67981833",
"0.67261535",
"0.67235726",
"0.6669215",
"0.6637938",
"0.6611165",
"0.6589315",
"0.65816... | 0.0 | -1 |
Update minicart qty on add to cart | function update_cqty(){
$.get("/wp-admin/admin-ajax.php", {
action: 'cart_qty'
}).then(function(res){
$('i#cqty').text(res);
if (res != 0) $('i#cqty').addClass('visible');
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function updateQuantity() {\n let prod = this.closest(\".cart-item\");\n let prod_cost = prod.children[2].innerText.slice(1);\n prod.children[4].innerText = `$${Number(prod_cost)*this.value}`\n\n let z = JSON.parse(localStorage.getItem(\"CartItem\"));\n arr = [];\n for (let k = 0; k < Object.keys(z).length; ... | [
"0.76549107",
"0.7472356",
"0.73232776",
"0.7242217",
"0.7199553",
"0.71862316",
"0.71473205",
"0.7066441",
"0.7063071",
"0.7050778",
"0.70344615",
"0.70184684",
"0.7004955",
"0.69976413",
"0.697558",
"0.6970132",
"0.6938334",
"0.69203526",
"0.68757105",
"0.6842128",
"0.68308... | 0.6294214 | 96 |
fjx end make room for footer | function giveFooterSomeRoom() {
footer = $('footer#footer');
padding = footer.outerHeight();
$('body').css('padding-bottom',padding);
// console.log('padding applied');
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"renderFooter() {\n return null;\n }",
"function footerBottom(){\n\tvar $footer = $('.footer');\n\tif($footer.length){\n\t\tvar $tplSpacer = $('<div />', {\n\t\t\tclass: 'spacer'\n\t\t});\n\n\t\t$('.main').after($tplSpacer.clone());\n\n\t\t$(window).on('load resizeByWidth', function () {\n\t\t\tvar foot... | [
"0.70745045",
"0.7056424",
"0.6899682",
"0.6763985",
"0.67632914",
"0.67584825",
"0.6733473",
"0.6693147",
"0.66610134",
"0.6659243",
"0.6631205",
"0.6611675",
"0.658502",
"0.6520414",
"0.65194154",
"0.6506234",
"0.6481181",
"0.6459485",
"0.64218056",
"0.64146936",
"0.6388369... | 0.6587514 | 12 |
======================= load Game Data ======================= | function loadGameData() {
$.ajaxSetup({ cache: true});
$.getJSON(cavsSchedFeed,
function(data){
gamenum=3;
// SET GLOBAL VARIABLES
game = data.gscd.g;
status = game[gamenum].st;
arena = game[gamenum].an; //ARENA
gamedate = game[gamenum].gdte; //GAME DATE
gametime = game[gamenum].etm; //GAME TIME EST DATE&TIME
gameID = game[gamenum].gid; //GAME ID
gcode = game[gamenum].gcode; //GAME CODE
gametimeFormatted = moment(game[gamenum].etm).format('dddd, MMMM D, YYYY') + ' AT ' + moment(game[gamenum].etm).format('h:mm A')+' (ET)';
if (cavsTID == data.gscd.g[gamenum].h.tid){
cavsHOME = 1;
} else {
cavsHOME = 0;
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function loadGameData()\n\t\t\t{\n\t\t\t\tif(gameName == \"fatcat7\")\n\t\t\t\t{\n\t\t\t\t\tgame = new FatCat7Game();\n\t\t\t\t\tisFreeSpinGame = true;\n\t\t\t\t}\n\t\t\t\telse if(gameName == \"bounty\")\n\t\t\t\t{\n\t\t\t\t\tgame = new BountyGame();\n\t\t\t\t\tisFreeSpinGame = true;\n\t\t\t\t}\n\t\t\t\telse if(ga... | [
"0.832943",
"0.7465807",
"0.74487615",
"0.7436724",
"0.72135866",
"0.7212503",
"0.71787655",
"0.71692055",
"0.716024",
"0.715377",
"0.71502906",
"0.7088876",
"0.70205617",
"0.6937962",
"0.69130236",
"0.6887177",
"0.68501824",
"0.6840369",
"0.67668706",
"0.6748402",
"0.674673"... | 0.0 | -1 |
end function / ======================= /load Game Data ======================= / ======================= gameIsOn ======================= | function gameIsOn() {
$.ajaxSetup({ cache: true});
$.getJSON("http://data.nba.com/data/v2015/json/mobile_teams/nba/2016/scores/gamedetail/" + gameID + "_gamedetail.json",
function(data){
var period = data.g.p;
var gamestatus = data.g.stt;
gameStatus = data.g["st"];
if (period === null || period == "0") {
loadScoreboardPregame();
} else {
loadScoreboardInGame();
if (gamestatus != "Final") {
setInterval("loadScoreboardInGame()",10000);
}
if (gamestatus == "Final") {
clearInterval("loadScoreboardInGame"); //clear interval
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function loadGameData()\n\t\t\t{\n\t\t\t\tif(gameName == \"fatcat7\")\n\t\t\t\t{\n\t\t\t\t\tgame = new FatCat7Game();\n\t\t\t\t\tisFreeSpinGame = true;\n\t\t\t\t}\n\t\t\t\telse if(gameName == \"bounty\")\n\t\t\t\t{\n\t\t\t\t\tgame = new BountyGame();\n\t\t\t\t\tisFreeSpinGame = true;\n\t\t\t\t}\n\t\t\t\telse if(ga... | [
"0.75656825",
"0.70133024",
"0.69153625",
"0.68950796",
"0.68268734",
"0.6727736",
"0.6632979",
"0.6601244",
"0.65660226",
"0.65291476",
"0.6516658",
"0.6509726",
"0.6483329",
"0.64826924",
"0.6466582",
"0.6435801",
"0.64244217",
"0.6415155",
"0.6414446",
"0.6345895",
"0.6344... | 0.6176463 | 34 |
end function / ======================= /gameIsOn ======================= / ======================= clearInterval ======================= | function stopFunction(variabletoclear) {
clearInterval(variabletoclear);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function endgame() {\n \tclearInterval(intervalId);\n }",
"function endOfGame() {\n clearInterval(gameInterval)\n}",
"function overEnd(){\n\tif(game_state === false){\n\t\tdocument.getElementById(\"status\").innerHTML = \"you wON!!! in \"+ Math.round(10*totaltime)/10 + \" seconds .... congrats\";\n\t\tc... | [
"0.85136807",
"0.80926424",
"0.8078578",
"0.8032116",
"0.80034727",
"0.7834107",
"0.77534765",
"0.769874",
"0.7694725",
"0.766323",
"0.7648194",
"0.76449883",
"0.7633983",
"0.762984",
"0.76265484",
"0.75887346",
"0.75628215",
"0.75583",
"0.7530165",
"0.7516167",
"0.75114644",... | 0.0 | -1 |
======================= /clearInterval ======================= / ======================= loadScoreboardPregame ======================= | function loadScoreboardPregame() {
$.ajaxSetup({ cache: true});
$.getJSON("http://data.nba.com/data/v2015/json/mobile_teams/nba/2016/teams/cavaliers_schedule_" + seasontype + ".json",
function(data){
var game = data.gscd.g;
var status = game[gamenum].st;
var status = game[gamenum].st;
var cavsscore;
var oppscore;
if (cavsHOME == 1){
cavsscore = game[gamenum].h["re"];
oppscore = game[gamenum].v["re"];
} else {
cavsscore = game[gamenum].v["re"];
oppscore = game[gamenum].h["re"];
}
document.getElementById("opp-score").innerHTML="2-1";
document.getElementById("cavs-score").innerHTML="3-0";
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function stopScoreCounter() {\n\tclearInterval(scoreCounterID);\n}",
"function endGame() {\n clearInterval(interval);\n console.log('ended');\n pointsEl.innerText = score;\n resultEl.classList.toggle('hide');\n containerEl[0].classList.toggle('hide');\n var savedGames = localStorage.getItem('la... | [
"0.67429125",
"0.6598286",
"0.654588",
"0.64863074",
"0.6381481",
"0.6356312",
"0.62945443",
"0.6277964",
"0.62753737",
"0.6270995",
"0.6263602",
"0.6252848",
"0.62359345",
"0.62089753",
"0.61955774",
"0.6189881",
"0.61882865",
"0.6148888",
"0.61374825",
"0.61360276",
"0.6125... | 0.6020974 | 33 |
end function / ======================= /loadScoreboardPregame ======================= / ======================= loadScoreboardInGame ======================= | function loadScoreboardInGame() {
$.ajaxSetup({ cache: true});
$.getJSON("http://data.nba.com/data/v2015/json/mobile_teams/nba/2016/scores/gamedetail/" + gameID + "_gamedetail.json",
function(data){
var gamestatus = data.g["stt"];
var clock = data.g["cl"];
if (cavsHOME == 1){
var oppBox = data.g.vls["s"];
var cavsBox = data.g.hls["s"];
} else {
var oppBox = data.g.hls["s"];
var cavsBox = data.g.vls["s"];
}
if (gamestatus == "Halftime" || gamestatus == "Final") {
var status = gamestatus;
} else {
var status = clock + ' - '+ gamestatus; //clock + ' - '+ gamestatus
}
document.getElementById("opp-score").innerHTML=oppBox;
document.getElementById("cavs-score").innerHTML=cavsBox;
document.getElementById("api-gameday").innerHTML=status;
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"load() {\n if (!!this.saveArray) {\n this.board = this.saveArray[0];\n this.currentColour = this.saveArray[1];\n this.currentColour == 'white' ? this.otherColour = 'black' : this.otherColour = 'white';\n this.displayBoard();\n console.log(\"game loaded\... | [
"0.67326576",
"0.66934097",
"0.6648998",
"0.6632899",
"0.66081715",
"0.65841883",
"0.65496093",
"0.6536842",
"0.6523126",
"0.6519258",
"0.6493572",
"0.64858127",
"0.6477509",
"0.64551646",
"0.64450794",
"0.6436424",
"0.64295477",
"0.63991106",
"0.63955563",
"0.6362934",
"0.63... | 0.6201317 | 33 |
possibly pass the field from the home page to state dynamically render these buttons i.e application sent field is not null sent to state somehow lift clicks to info block | handleInProgressClick() {
this.setState({status:"in progress"});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"buttonHandler(){\n\t\tvar items = this.props.hey.questions.present;\n\t\tlet conditions = this.props.hey.conditions.present;\n\t\tlet counter = this.props.hey.counter.present;\n\t\tconst action = this.props.action;\n\t\tconst increment = this.props.increment;\n\t\tconst hide = this.props.hideState;\n\t\tsendButton... | [
"0.6089963",
"0.59777766",
"0.5933643",
"0.58554906",
"0.5790299",
"0.5788316",
"0.5788304",
"0.5757041",
"0.57564163",
"0.57531714",
"0.5730086",
"0.5710133",
"0.56823206",
"0.5656171",
"0.56537056",
"0.5647323",
"0.56417894",
"0.5635744",
"0.56275254",
"0.5616315",
"0.56158... | 0.0 | -1 |
O(n) = n creates an array of fibonaci sequence up num elements var array = [] | function fibonacci(num) {
console.log(num)
if (num <= 1) {
// todo investigate the time complexity of .push()
//array.push(num)
return 1
}
return fibonacci(num - 1) + fibonacci(num - 2)
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function fibonacciArray(n) {\n var fibArr = [0, 1];\n for(i = 0; i<n; i++){\n if(i>fibArr[0])\n fibArr.push(fibArr[i] + fibArr[i-1])\n }\n\n return fibArr;\n}",
"function fibonacci(n) {\r\nvar arr=[];\r\n for(let i=0; i<n;i++){\r\n arr.push(i);\r\n }\r\n for(let i=2;i<n;i++)... | [
"0.81787026",
"0.8122116",
"0.8078144",
"0.8035182",
"0.8009666",
"0.8007194",
"0.80036074",
"0.79910487",
"0.7983444",
"0.7926307",
"0.786116",
"0.78486824",
"0.7833397",
"0.7828305",
"0.780592",
"0.77885205",
"0.7776408",
"0.77759063",
"0.7675666",
"0.7638117",
"0.76378965"... | 0.0 | -1 |
lets you read chars, and optionally reset the cursor to where it was before reading | function createCharReader (nextChar, rewind) {
let charsRead = 0
return {
nextChar () {
charsRead += 1
return nextChar()
},
reset () {
rewind(charsRead)
charsRead = 0
},
rewind (n = 1) {
rewind(n)
charsRead -= n
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"read() {\n if (this.pos < this.size) {\n this.ch = this.input.charCodeAt(this.pos++);\n } else {\n this.ch = -1;\n }\n }",
"function reconsumeCurrentCharacter() {\n charIdx--;\n }",
"function reconsumeCurrentCharacter() {\n charIdx--;\n }",
"consumeChar() {\n th... | [
"0.68927795",
"0.6730734",
"0.6730292",
"0.66110456",
"0.60455966",
"0.6025901",
"0.60009164",
"0.5993873",
"0.59305906",
"0.58947945",
"0.5889436",
"0.5819896",
"0.5789997",
"0.5736562",
"0.5698434",
"0.5668249",
"0.5667952",
"0.563466",
"0.5617069",
"0.5617069",
"0.5615207"... | 0.5672642 | 15 |
Essa function deve adicionar o valor digitado ao vetor valores e ao select: | function adicionar() {
if(!isNumber(txtNumero.value) || inList(txtNumero.value, valores)) { // Lê-se: Se *txtNumero* não for um número válido (function isNumber) ou *txtNumero* for encontrado no vetor valores (function inList), então:
window.alert('Valor inválido ou já encontrado na lista.')
} else { // senão
var numero = Number(txtNumero.value) // Não precisa criar essa variável convertida em Number
valores.push(numero)
var item = document.createElement('option')
item.text = `Valor ${numero} adicionado.`
item.value = numero
listagem.appendChild(item)
resultado.innerHTML = '' // Limpa os valores do resultado.
}
txtNumero.value = '' // Limpar a caixa de entrada ao final da execução da function adicionar()
txtNumero.focus() // Colocar o cursor na caixa de entrada ao final da execução da function adicionar()
clearButton.style.display = null;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function validarSelect(texto, identificador) {\n\n if (texto != '') {\n $(identificador).val(texto);\n }\n}",
"function fillDataModal(codigo, grado, seccion, nivel) {\n \n $(\"#modaltxtCodigo\").val(codigo);\n $(\"#modaltxtGrado\").val(grado);\n $(\"#modaltxtSeccion\").val(seccion);\n ... | [
"0.63570154",
"0.6355307",
"0.6221464",
"0.62008387",
"0.6125581",
"0.6115057",
"0.6102905",
"0.60735846",
"0.6062825",
"0.6053935",
"0.60302675",
"0.6024002",
"0.6011378",
"0.5986135",
"0.59816086",
"0.59796655",
"0.59340286",
"0.59290844",
"0.5920496",
"0.59200454",
"0.5916... | 0.5626096 | 68 |
Checks if user exists | userExists(user) {
// Temp variable for storing the user if found
let temp = '';
for (let i of this.users) {
if (i === user) {
console.log('user: ' + user + ' exists');
temp = user;
}
}
let exists = (temp !== '' && temp === user);
if(temp === '') console.log('user: ' + user + ' does not exist');
return exists;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function checkIfUserExists (callback) { \n connection.query(`SELECT * FROM user WHERE userid=${connection.escape(id)}`, (err, res)=>{\n if (err) {message.channel.send(embeds.errorOccured(message, err));}\n callback(res[0] !== undefined); \n });\n }",
"do... | [
"0.79687506",
"0.7584125",
"0.75582564",
"0.74154276",
"0.7377348",
"0.735639",
"0.73032147",
"0.7255049",
"0.72392005",
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"0.7145939",
"0.7123984",
"0.711027",
"0.7105413",
"0.7101344",
"0.70521605",
"0.70515674",
"0.704523... | 0.6704347 | 40 |
Gets index of an element in an array | idx(element, array) {
let cont=0;
for (let i of array) {
if (i === element) {
return cont;
}
cont += 1;
}
return cont;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function indexOfArray(arr,index){\r\n\treturn arr[index]\r\n}",
"function indexOfArray(arr,i){\n \n return arr[i];\n }",
"function getIndex (item, array) {\n for (var i = 0; i < array.length; i++){\n if (item==array[i][1]){\n return i;\n }\n }\n return undefined;\n... | [
"0.7871964",
"0.780925",
"0.7764285",
"0.7756045",
"0.7736787",
"0.7694301",
"0.765524",
"0.7620825",
"0.75880283",
"0.7522415",
"0.74995375",
"0.74845576",
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"0.74198276",
"0.73977965",
"0.7361471",
"0.73556465",
"0.73540646",
"0.73262554",
"0.732247... | 0.76458997 | 7 |
!svg4everybody v2.1.9 | github.com/jonathantneal/svg4everybody | function e(e, t, n) {
if (n) {
var i = document.createDocumentFragment(),
a = !t.hasAttribute("viewBox") && n.getAttribute("viewBox");
a && t.setAttribute("viewBox", a);
for (var o = n.cloneNode(!0); o.childNodes.length; ) i.appendChild(o.firstChild);
e.appendChild(i);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function SVGShape() {}",
"drawSvg() {\n \n\t}",
"function SVGWrap() {}",
"function SigmaEnableSVG() {\n return null;\n}",
"function downloadPNG4x() {\n document.getElementById('svg').removeAttribute('style');\n panZoomInstance.moveTo(0, 0);\n panZoomInstance.zoomAbs(0, 0, 1);\n saveSvgA... | [
"0.681207",
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"0.64047587",
"0.62305236",
"0.622013",
"0.6213995",
"0.6213662",
"0.6190503",... | 0.0 | -1 |
The `wrapper` function encapsulates all of the throttling / debouncing functionality and when executed will limit the rate at which `callback` is executed. | function wrapper() {
var that = this,
elapsed = +new Date() - last_exec,
args = arguments;
// Execute `callback` and update the `last_exec` timestamp.
function exec() {
last_exec = +new Date();
callback.apply( that, args );
};
// If `debounce_mode` is true (at_begin) this is used to clear the flag
// to allow future `callback` executions.
function clear() {
timeout_id = undefined;
};
if ( debounce_mode && !timeout_id ) {
// Since `wrapper` is being called for the first time and
// `debounce_mode` is true (at_begin), execute `callback`.
exec();
}
// Clear any existing timeout.
timeout_id && clearTimeout( timeout_id );
if ( debounce_mode === undefined && elapsed > delay ) {
// In throttle mode, if `delay` time has been exceeded, execute
// `callback`.
exec();
} else if ( no_trailing !== true ) {
// In trailing throttle mode, since `delay` time has not been
// exceeded, schedule `callback` to execute `delay` ms after most
// recent execution.
//
// If `debounce_mode` is true (at_begin), schedule `clear` to execute
// after `delay` ms.
//
// If `debounce_mode` is false (at end), schedule `callback` to
// execute after `delay` ms.
timeout_id = setTimeout( debounce_mode ? clear : exec, debounce_mode === undefined ? delay - elapsed : delay );
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function wrapper () {\n\t\n\t\t\tvar self = this;\n\t\t\tvar elapsed = Number(new Date()) - lastExec;\n\t\t\tvar args = arguments;\n\t\n\t\t\t// Execute `callback` and update the `lastExec` timestamp.\n\t\t\tfunction exec () {\n\t\t\t\tlastExec = Number(new Date());\n\t\t\t\tcallback.apply(self, args);\n\t\t\t}\n\... | [
"0.765537",
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"0.75173116",
"0.75173116",
"0.75173116",
"0.75173116",
"0.75173116",
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"0.75173116",
"0.75173116",
"0.75173116",
"0.75173116",
"0.75173116",
"0.7513246",
... | 0.72283226 | 26 |
Execute `callback` and update the `last_exec` timestamp. | function exec() {
last_exec = +new Date();
callback.apply( that, args );
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function exec() {\n lastExec = Date.now();\n callback.apply(self, arguments_);\n }",
"function exec() {\n lastExec = Date.now();\n callback.apply(self, arguments_);\n }",
"function exec() {\n\t lastExec = Date.now();\n\t callback.apply(self, arguments_);\n\t }",
"functi... | [
"0.745563",
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"0.73525447",
"0.73505646",
"0.7145095",
"0.713012",
"0.713012",
"0.713012",
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"0.713012",
"0.713012",
"0.713012",
"0.713012",
"0.713012",
"0.713012",
"0.713012",
"0.713012",
"0.... | 0.73532254 | 2 |
If `debounce_mode` is true (at_begin) this is used to clear the flag to allow future `callback` executions. | function clear() {
timeout_id = undefined;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function exec(){lastExec=Number(new Date());callback.apply(self,args);}// If `debounceMode` is true (at begin) this is used to clear the flag",
"function exec(){lastExec=Number(new Date());callback.apply(self,args);}// If `debounceMode` is true (at begin) this is used to clear the flag",
"function debounce(cal... | [
"0.75560945",
"0.75560945",
"0.6904754",
"0.6462211",
"0.6396409",
"0.6329464",
"0.6309382",
"0.62771076",
"0.62468845",
"0.61616087",
"0.6072329",
"0.6065627",
"0.59272814",
"0.59272814",
"0.59272814",
"0.5901284",
"0.5894402",
"0.58854216",
"0.58772767",
"0.585909",
"0.5831... | 0.0 | -1 |
Update Total calculate total of items in the cart | updateTotal() {
let total = 0;
for (let index in this.items) {
let item = this.items[index];
total += item.price * item.quantity;
}
this.total = total;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function total() {\n let totalVal = 0;\n for (var i = 0; i < cartItems.length; i++) {\n totalVal += cartItems[i].price * cartItems[i].quantity\n }\n setCartTotal(totalVal)\n }",
"function updateTotal() {\n var total = 0;\n $('.cart-item-price').each(function() {\n total... | [
"0.8479078",
"0.84645617",
"0.8419032",
"0.8037263",
"0.79097944",
"0.7671906",
"0.7626656",
"0.7609956",
"0.76039535",
"0.7600465",
"0.7585691",
"0.7503699",
"0.7468547",
"0.7467062",
"0.74488014",
"0.7448752",
"0.74331045",
"0.74086994",
"0.74055725",
"0.7384999",
"0.736265... | 0.8257361 | 3 |
Add Item add an item to the cart | addItem(newItem) {
for (let index in this.items) {
let item = this.items[index];
if (item.id === newItem.id) {
item.quantity += newItem.quantity;
this.updateTotal();
return;
}
}
this.items.push(newItem);
this.updateTotal();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function addItemToCart() {}",
"function addItemToCart() {}",
"function addItemToCart(user, item) {}",
"function addToCart(item) {\n\t// create item in cart\n\tconst row = document.createElement('tr');\n\n\trow.innerHTML = `\n\t\t<td>\n\t\t\t<img src=\"${item.image}\">\n\t\t</td>\n\t\t<td>\n\t\t\t${item.title... | [
"0.8870365",
"0.8870365",
"0.8317082",
"0.80768555",
"0.80542094",
"0.8030135",
"0.7986383",
"0.7953447",
"0.7953234",
"0.7932324",
"0.7927464",
"0.78722477",
"0.78524226",
"0.7743222",
"0.7735881",
"0.77150446",
"0.76887846",
"0.7688012",
"0.76775503",
"0.76739985",
"0.76161... | 0.7096832 | 70 |
To JSON get a json representation of the cart data | toJson() {
return {
items: this.items,
total: this.total
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function packIntoJson(userId, ingredientId, ingredientName, quantity){\n\tvar cartJson = new Object();\n\tcartJson.userId = userId;\n\tcartJson.ingredientId = ingredientId;\n\tcartJson.ingredientName = ingredientName;\n\tcartJson.quantity = quantity;\n\tconsole.log(\"JSON\");\n\tconsole.log(cartJson);\n\t//console... | [
"0.71448916",
"0.65240455",
"0.6489727",
"0.64562005",
"0.64469624",
"0.64362985",
"0.64188296",
"0.64175403",
"0.6333861",
"0.6271095",
"0.6180868",
"0.6175653",
"0.6166541",
"0.61517256",
"0.61146414",
"0.6060924",
"0.60552514",
"0.60545826",
"0.60484165",
"0.60267586",
"0.... | 0.62578374 | 10 |
removing listener to prevent memory leaks | componentWillUnmount() {
this.props.firebase
.land()
.orderByChild("userID")
.equalTo(this.props.firebase.auth.currentUser.uid)
.off();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"removeListeners() {}",
"removeListeners() {}",
"removeListeners() {}",
"function removeEventListeners(){\n _.forEach(unlistenCallbacks, function(unlisten){\n unlisten();\n });\n unlistenCallbacks = [];\n }",
"removeAllListeners() {\n this.listen... | [
"0.7938648",
"0.7938648",
"0.7938648",
"0.7649334",
"0.76439846",
"0.75743467",
"0.75743467",
"0.75743467",
"0.75743467",
"0.75743467",
"0.75559336",
"0.75544506",
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"0.7483317",
"0.7450182",
"0.74224734",
"0.7407818",
"0.73894876",
"0.73651236",
"0.73651236",
"0.7... | 0.0 | -1 |
TODO: same as trip selection | function setMouseOver (polyline, streetname) {
polyline.on('mouseover', function (e) {
let layer = e.target;
layer.setStyle({ color: '#000', opacity: 1});
layer.bindTooltip('<strong>Activate ' + streetname + '</strong>');
});
return;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"copyAirwaySelections() {\n const temporaryFPWaypoints = this.flightPlanManager.getWaypoints(1);\n const activeFPWaypoints = this.flightPlanManager.getWaypoints(0);\n for (let i = 0; i < activeFPWaypoints.length; i++) {\n if (activeFPWaypoints[i].infos && temporaryFPWaypoints[i] && a... | [
"0.5501157",
"0.5169022",
"0.5119497",
"0.51169765",
"0.5084151",
"0.50048494",
"0.49870422",
"0.4983171",
"0.4978363",
"0.49504626",
"0.4941138",
"0.49386263",
"0.49356747",
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"0.49112976",
"0.49091542",
"0.4908651",
"0.48787922",
"0.4844551",
"0.48374882",
"0.48... | 0.0 | -1 |
uploaded images on mobile are typically oriented incorrectly. loadImage corrects the image orientation. | orientImage(file, callback) {
window.loadImage(
file,
img => callback(img.toDataURL("image/png")),
{ canvas: true, orientation: true }
);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function loadImage(image) {\n if (artwork.orientation == 'landscape') {\n context.drawImage(\n image,\n Math.abs(canvas.width / 2 - artwork.longDimension/2),\n Math.abs(canvas.height / 2 - artwork.shortDimension / 2),\n artwork.longDimension,\n artwo... | [
"0.7144427",
"0.6631277",
"0.645808",
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"0.6194077",
"0.60488397",
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"0.5816981",
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"0.58105105",
"0.5767477",
"0.57385",
"0.57257855",
"0.5700381",
"0.5699242",
"0.5688993",
"0.5681487",
"0.5679571",... | 0.687945 | 1 |
Passes the uploaded file object as well as a base 64 of the image to the onUpload callback | uploadImage(e) {
const { onUpload } = this.props;
let file = e.target.files[0]
this.orientImage(file, (src) => {
onUpload({
file,
name: file.name,
src
})
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"handleFile(e) {\n const reader = new FileReader();\n const file = e.target.files[0];\n\n if (!file) return;\n\n //useful for debugging base64 to images http://codebeautify.org/base64-to-image-converter\n reader.onload = function () {\n this.setState({\n cropperOpen: true,\n upload... | [
"0.69902676",
"0.6935119",
"0.6765236",
"0.6727766",
"0.6721871",
"0.6705777",
"0.6676353",
"0.6668043",
"0.66410273",
"0.6615347",
"0.6575097",
"0.65480185",
"0.6494769",
"0.64868236",
"0.6479687",
"0.64705485",
"0.6443938",
"0.6443938",
"0.6442665",
"0.64375377",
"0.6433047... | 0.69668007 | 1 |
sets the functions parameter | function calcCir(r){
//var to store the math to find the circumference of a circle
var circumference = 2 * Math.PI * r;
//spits out the information to the outside of the function and stores it in var result
return circumference;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function settingFunc() {\n\n}",
"setearParams(kv, ma, md, fltr, anod) {\n\n //console.log(\"seteo nuevos parametros\");\n this.kilovolt = kv;\n this.miliamperios = ma;\n this.modo = md;\n this.filtro = fltr;\n this.anodo = anod;\n }",
"function funcionParametro(fn) {\n\tfn();\n}",
"addFunct... | [
"0.7052007",
"0.623415",
"0.61816263",
"0.6029982",
"0.59901214",
"0.59831303",
"0.5971659",
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"0.5911817",
"0.5870064",
"0.58582574",
"0.5833273",
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"0.57646316",
"0.5731322",
"0.5723741",
"0.57216406",
"0.57110864",
"0.56904",
"0.5673824... | 0.0 | -1 |
heapify the data structure around max values | maxHeapify(arr, n, i) {
let largest = i;
let leftIndex = 2 * i + 1;
let rightIndex = 2 * i + 2;
if (leftIndex < n && arr[leftIndex] > arr[largest]) {
largest = leftIndex;
}
if (rightIndex < n && arr[rightIndex] > arr[largest]) {
largest = rightIndex;
}
if (largest != i) {
let temp = arr[i];
arr[i] = arr[largest];
arr[largest] = temp;
this.maxHeapify(arr, n, largest);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function maxHeapify(arr){\n\n}",
"heapify() {\n\t\t// last index is one less than the size\n\t\tlet index = this.size() - 1;\n\n\t\t/*\n Property of ith element in binary heap - \n left child is at = (2*i)th position\n right child is at = (2*i+1)th position\n parent is at ... | [
"0.76425755",
"0.7590268",
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"0.7164551",
"0.7093145",
"0.70451295",
"0.7003762",
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"0.68331915",
"0.6778727",
"0.6763307",
"0.67618555",
"0.67281747",
"0.672785... | 0.6298618 | 50 |
insert a value into the heap | insert(data) {
const size = this.heap.length;
if (size === 0) {
this.heap.push(data);
} else {
this.heap.push(data);
for (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {
this.maxHeapify(this.heap, this.heap.length, i);
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"insert(value) {\n // Insert value to the end of array\n // Perform siftUp to correct position of value in the heap tree\n this.heap.push(value);\n this.siftUp(this.heap.length - 1, this.heap);\n }",
"insert(value) {\n\t\tthis.heap.push(value);\n\t\t// calling heapify function to reconstruct array to... | [
"0.863833",
"0.8331561",
"0.8072703",
"0.8005249",
"0.7808851",
"0.7681502",
"0.765279",
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"0.74698555",
"0.7361416",
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"0.7149954",
"0.71396136",
"0.7095043",
"0.70502484",
"0.70256126",
"0.6946853",
... | 0.7637742 | 7 |
remove a specific value from the heap | remove(data) {
const size = this.heap.length;
let i;
for (i = 0; i < size; i++) {
if (data === this.heap[i]) {
break;
}
}
[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];
this.heap.splice(size - 1);
for (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {
this.maxHeapify(this.heap, this.heap.length, i);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"remove() {\n // Swap root value with last element in the heap\n // Pop the last element from heap array\n // Perform siftDown to correct position of swapped value\n // Return popped value\n this.swap(0, this.heap.length - 1, this.heap);\n const valueToRemove = this.heap.pop();\n this.siftDown(... | [
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"0.64443773",
"0.6443872",
"0.6382864",
"0.6373806",
"0.6357709... | 0.77889985 | 1 |
returns the max value from the heap | findMax() {
return this.heap[0];
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"extractMax() {\n\t\tconst max = this.heap[0];\n\t\tconst tmp = this.heap.pop();\n\t\tif (!this.empty()) {\n\t\t\tthis.heap[0] = tmp;\n\t\t\tthis.sinkDown(0);\n\t\t}\n\t\treturn max;\n\t}",
"extractMax() {\r\n\t\tconst max = this.heap[0];\r\n\t\tthis.remove(max);\r\n\t\treturn max;\r\n\t}",
"function maxHeap(va... | [
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"0.70802695",
"0.7070464",
"0.7062798",
"0.7037336",
"0.7013... | 0.84279215 | 0 |
removes the max value from the heap | removeMax() {
this.remove(this.heap[0]);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge case- if no nodes in tree, exit\n\n if (this.array.lengt... | [
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"0.67013896",
"0.6697178",
"0.66557425",
"0.6639741",
"0.6616899",
"0.6611... | 0.88509464 | 0 |
stores the max value and then removes it from the heap | extractMax() {
const max = this.heap[0];
this.remove(max);
return max;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}",
"deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge... | [
"0.8409695",
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"0.7587512",
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"0.7306259",
"0.7145239",
"0.70757776",
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"0.6653203",
"0.6634924",
"0.6612459",
"0.6608291",
"0.6604799",
"0.6594207",
"0.65926903",... | 0.7318626 | 4 |
return the size of the heap | size() {
return this.heap.length;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"size() {\n\t\treturn this.heap.length;\n\t}",
"getHeap() {\r\n\t\treturn this.heap;\r\n\t}",
"getHeap() {\r\n\t\treturn this.heap;\r\n\t}",
"get size() {\n let size = 0;\n for (let i = 0; i < this.children.length; i++)\n size += this.children[i].size;\n return size;\n }",
"function size() {\... | [
"0.823258",
"0.6719874",
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"0.6594933",
"0.65847397",
"0.6490526",
"0.6471409",
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"0.6240314",
"0.62244964",
"0.61938465",
"0.61566305",
"0.6134111",
"0.6093153"... | 0.8242203 | 1 |
check if the heap is empty | isEmpty() {
return this.heap.length === 0;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function heapisEmpty() {\n return this.size == 0 ? true : false;\n}",
"isEmpty() {\n return !this.heapContainer.length;\n }",
"function isEmpty() {\n return this.top === 0;\n}",
"heapHasIndex(index){\r\n if(index>=0 && index<this.heapContainer.length)\r\n return true;\r\n \r\n return ... | [
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"0.64725035",
"0.64722633",
"0.6470793",
"0.64603376",
"0.64533764",
"0.6418... | 0.82852596 | 1 |
returns the heap structure | getHeap() {
return this.heap;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function Heap()\n{\n\t// h[0] not used, heap initially empty\n\n\tthis.h = [null]; // heap of integer keys\n\tthis.h_item = [null]; // corresponding heap of data-items (any object)\n\tthis.size = 0; // 1 smaller than array (also index of last child)\n\n\n\t// ----... | [
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"0.6475312",
"0.6475312",
"0.6475312",
"0.6440758",
... | 0.74754506 | 0 |
heapify the data structure around min values | minHeapify(arr, n, i) {
let smallest = i;
let leftIndex = 2 * i + 1;
let rightIndex = 2 * i + 2;
if (leftIndex < n && arr[leftIndex] < arr[smallest]) {
smallest = leftIndex;
}
if (rightIndex < n && arr[rightIndex] < arr[smallest]) {
smallest = rightIndex;
}
if (smallest != i) {
let temp = arr[i];
arr[i] = arr[smallest];
arr[smallest] = temp;
this.minHeapify(arr, n, smallest);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"MinHeapify(index) {\n let left = this.left(index);\n let right = this.right(index);\n let smallest = index;\n if (left < this.size && this.data[left] < this.data[index]) smallest = left;\n if (right < this.size && this.data[right] < this.data[smallest])\n smallest = right;\n if (smallest != ... | [
"0.720125",
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"0.6588476",
"0.6567027",
"0.6564876",
"0.653676",
"0.65211815... | 0.6279518 | 33 |
insert a value into the heap | insert(data) {
const size = this.heap.length;
if (size === 0) {
this.heap.push(data);
} else {
this.heap.push(data);
for (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {
this.minHeapify(this.heap, this.heap.length, i);
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"insert(value) {\n // Insert value to the end of array\n // Perform siftUp to correct position of value in the heap tree\n this.heap.push(value);\n this.siftUp(this.heap.length - 1, this.heap);\n }",
"insert(value) {\n\t\tthis.heap.push(value);\n\t\t// calling heapify function to reconstruct array to... | [
"0.863833",
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"0.7681502",
"0.7637742",
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"0.7149954",
"0.71396136",
"0.7095043",
"0.70502484",
"0.70256126",
"0.6946853",... | 0.765279 | 6 |
remove a specific value from the heap | remove(data) {
const size = this.heap.length;
let i;
for (i = 0; i < size; i++) {
if (data === this.heap[i]) {
break;
}
}
[this.heap[i], this.heap[size - 1]] = [this.heap[size - 1], this.heap[i]];
this.heap.splice(size - 1);
for (let i = parseInt(this.heap.length / 2 - 1); i >= 0; i--) {
this.minHeapify(this.heap, this.heap.length, i);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"remove() {\n // Swap root value with last element in the heap\n // Pop the last element from heap array\n // Perform siftDown to correct position of swapped value\n // Return popped value\n this.swap(0, this.heap.length - 1, this.heap);\n const valueToRemove = this.heap.pop();\n this.siftDown(... | [
"0.80592644",
"0.77889985",
"0.75571394",
"0.75185335",
"0.748075",
"0.7324977",
"0.7206284",
"0.7075653",
"0.7057192",
"0.7057192",
"0.6849966",
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"0.64938587",
"0.64443773",
"0.6443872",
"0.6382864",
"0.6373806",
"0.63577... | 0.771712 | 2 |
returns the max value from the heap | findMin() {
return this.heap[0];
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"findMax() {\r\n\t\treturn this.heap[0];\r\n\t}",
"extractMax() {\n\t\tconst max = this.heap[0];\n\t\tconst tmp = this.heap.pop();\n\t\tif (!this.empty()) {\n\t\t\tthis.heap[0] = tmp;\n\t\t\tthis.sinkDown(0);\n\t\t}\n\t\treturn max;\n\t}",
"extractMax() {\r\n\t\tconst max = this.heap[0];\r\n\t\tthis.remove(max)... | [
"0.84279215",
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"0.7423833",
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"0.7146565",
"0.70919085",
"0.70852536",
"0.70802695",
"0.7070464",
"0.7062798",
"0.703... | 0.0 | -1 |
removes the max value from the heap | removeMin() {
this.remove(this.heap[0]);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}",
"deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge... | [
"0.88500553",
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"0.728619",
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"0.67000633",
"0.66962206",
"0.6652222",
"0.6639554",
"0.6618666",
"0.66110... | 0.7505327 | 4 |
stores the max value and then removes it from the heap | extractMin() {
const min = this.heap[0];
this.remove(min);
return min;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"removeMax() {\r\n\t\tthis.remove(this.heap[0]);\r\n\t}",
"deleteMax() {\n // recall that we have an empty position at the very front of the array, \n // so an array length of 2 means there is only 1 item in the heap\n\n if (this.array.length === 1) return null;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// edge... | [
"0.8409095",
"0.7877608",
"0.7585467",
"0.73500264",
"0.73173934",
"0.7304062",
"0.7143545",
"0.70733887",
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"0.6651813",
"0.66323894",
"0.6611787",
"0.6607657",
"0.6603595",
"0.6594041... | 0.0 | -1 |
return the size of the heap | size() {
return this.heap.length;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"size() {\n\t\treturn this.heap.length;\n\t}",
"getHeap() {\r\n\t\treturn this.heap;\r\n\t}",
"getHeap() {\r\n\t\treturn this.heap;\r\n\t}",
"get size() {\n let size = 0;\n for (let i = 0; i < this.children.length; i++)\n size += this.children[i].size;\n return size;\n }",
"function size() {\... | [
"0.8232244",
"0.6720662",
"0.6720662",
"0.6595036",
"0.658402",
"0.6490136",
"0.6471042",
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"0.62245953",
"0.6194299",
"0.61576664",
"0.61351967",
"0.6093203"... | 0.8241832 | 0 |
check if the heap is empty | isEmpty() {
return this.heap.length === 0;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function heapisEmpty() {\n return this.size == 0 ? true : false;\n}",
"isEmpty() {\n return !this.heapContainer.length;\n }",
"function isEmpty() {\n return this.top === 0;\n}",
"heapHasIndex(index){\r\n if(index>=0 && index<this.heapContainer.length)\r\n return true;\r\n \r\n return ... | [
"0.8801127",
"0.7740314",
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"0.6492355",
"0.64725035",
"0.64722633",
"0.6470793",
"0.64603376",
"0.64533764",
"0.6418... | 0.82852596 | 2 |
returns the heap structure | getHeap() {
return this.heap;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function Heap()\n{\n\t// h[0] not used, heap initially empty\n\n\tthis.h = [null]; // heap of integer keys\n\tthis.h_item = [null]; // corresponding heap of data-items (any object)\n\tthis.size = 0; // 1 smaller than array (also index of last child)\n\n\n\t// ----... | [
"0.7372717",
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"0.6475312",
"0.6475312",
"0.6475312",
"0.6440758",
... | 0.74754506 | 1 |
function that sets time and displays on screen | function setTime() {
//set interval function
var timerInterval = setInterval(function () {
secondsLeft--;
timeEl.textContent = secondsLeft + " seconds left till game ends.";
if (secondsLeft === 0) {
clearInterval(timerInterval);
endGame(); //displays message at end of game
}
}, 1000);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"set_time( t ){ this.current_time = t; this.draw_fg(); return this; }",
"function displayTime() {\n var today = new Date();\n \n //gathers information about current hour, min and sec. \n //Add zero at the head if it is a single digit number.\n var currentHour = addZero(today.get... | [
"0.79061556",
"0.7867804",
"0.7833104",
"0.78100234",
"0.76912004",
"0.76705134",
"0.7659492",
"0.7658845",
"0.76162374",
"0.76118803",
"0.76050484",
"0.75970423",
"0.7594395",
"0.758446",
"0.7583648",
"0.756783",
"0.7565811",
"0.755161",
"0.7543307",
"0.7523902",
"0.7521322"... | 0.0 | -1 |
function that starts the game | function start() {
setTime(); //set timer
//next question function
next();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function startGame() { }",
"function start()\r\n{\r\ninit();\r\ngame.start();\r\n}",
"function startGame() {\n init();\n}",
"function startGame() {\n\tsetup();\n\tmainLoop();\n}",
"function startgame() {\t\r\n\tloadImages();\r\nsetupKeyboardListeners();\r\nmain();\r\n}",
"function startGame(){\n in... | [
"0.8947497",
"0.853883",
"0.85360265",
"0.846057",
"0.83268464",
"0.8302629",
"0.82855785",
"0.8213439",
"0.81400234",
"0.80515915",
"0.8041017",
"0.80409956",
"0.8034612",
"0.8003582",
"0.7985927",
"0.79599327",
"0.79583174",
"0.7946285",
"0.78813124",
"0.78753716",
"0.78651... | 0.0 | -1 |
function that clears messages and displays a picture onscreen | function endGame() {
questions1El.textContent = "Game Over";
button1El.textContent = "";
button2El.textContent = "";
button3El.textContent = "";
button4El.textContent = "";
startEl.textContent = "";
//append img to questions window
var imgEl = document.createElement("img");
imgEl.setAttribute("src", "assets/congrats.png");
questions1El.appendChild(imgEl);
//create item to append to high scores
var highScoresEl = document.getElementById("highScores");
var item = document.createElement("p");
item.textContent = prompt("Enter Initals")+" : "+ score;//put score in item
//highScoresEl.setAttribute("visibility","visible");
highScoresEl.append(item);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function clearChat() {\n $(\"gameOutputField\").innerHTML = \"\";\n displayMessage(\"<a href='images/how-about-no-bear.jpg' target='_blank'>see chat history</a>\");\n $(\"gameInputField\").focus();\n }",
"function clearMessages() {\n hint.textContent = \"\";\n hold.textContent = \... | [
"0.69447803",
"0.68114084",
"0.67741245",
"0.66152513",
"0.6483633",
"0.6464599",
"0.6451905",
"0.6437282",
"0.639263",
"0.63876086",
"0.6363084",
"0.6359913",
"0.6336804",
"0.63157374",
"0.6287178",
"0.62681925",
"0.6220877",
"0.6217493",
"0.6178756",
"0.6162305",
"0.6160375... | 0.0 | -1 |
possible reset button implementation | function reset() {
location.reload();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function resetButtonPressed() {\n reset();\n}",
"function pressReset(){\n events.emit('resetBtn', true);\n }",
"function reset(e){\n \n}",
"_reset() {\r\n\t\tthis._pressed = false;\r\n\t}",
"function resetButton() {\n\tvar r = getProgress();\n\tsetProgress(r = 0);\n}",
"function reset() {\n ... | [
"0.8312869",
"0.8204711",
"0.7796093",
"0.7780912",
"0.7737174",
"0.77306217",
"0.76953423",
"0.76022285",
"0.75823927",
"0.7568529",
"0.74940425",
"0.7462029",
"0.7458716",
"0.7446697",
"0.7443668",
"0.7379343",
"0.73692",
"0.73537445",
"0.7319036",
"0.72946703",
"0.72922176... | 0.0 | -1 |
Alyssa postulates the existence of an abstract object called an interval that has two endpoints: a lower bound and an upper bound. She also presumes that, given the endpoints of an interval, she can construct the interval using the data constructor make_interval. Alyssa first writes a function for adding two intervals. She reasons that the minimum value the sum could be is the sum of the two lower bounds and the maximum value it could be is the sum of the two upper bounds: | function addInterval(x, y) {
return makeInterval(
lowerBound(x) + lowerBound(y),
upperBound(x) + upperBound(y)
);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function addTwo(range1, range2) {\n if (range1.overlaps(range2, {adjacent: true})) {\n var start = moment.min(range1.start, range2.start);\n var end = moment.max(range1.end, range2.end);\n var sum = moment.range(start, end);\n return sum;\n } else {\n return null;\n }\n}... | [
"0.66479737",
"0.6616013",
"0.652245",
"0.6456774",
"0.6433727",
"0.6431704",
"0.6426851",
"0.6387165",
"0.6342265",
"0.63171923",
"0.63106346",
"0.62977326",
"0.62505305",
"0.6249269",
"0.6243401",
"0.62178606",
"0.61666274",
"0.60571927",
"0.6051225",
"0.6029278",
"0.602211... | 0.73323363 | 0 |
Alyssa also works out the product of two intervals by finding the minimum and the maximum of the products of the bounds and using them as the bounds of the resulting interval. (math_min and math_max are primitives that find the minimum or maximum of any number of arguments.) | function mulInterval(x, y) {
const p1 = lowerBound(x) * lowerBound(y);
const p2 = lowerBound(x) * upperBound(y);
const p3 = upperBound(x) * lowerBound(y);
const p4 = upperBound(x) * upperBound(y);
return makeInterval(Math.min(p1, p2, p3, p4), Math.max(p1, p2, p3, p4));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function iclamp(a, min, max) {\n\treturn Math.max(min, Math.min(a, max));\n}",
"function product_Range(a,b) {\n var prd = a,i = a;\n\n while (i++< b) {\n prd*=i;\n }\n return prd;\n}",
"function map(x, in_min, in_max, out_min, out_max,checkRanges) {\n if ((typeof checkRanges != 'undefined') && checkR... | [
"0.63497293",
"0.6287785",
"0.6074114",
"0.6001888",
"0.5925367",
"0.5914643",
"0.58827174",
"0.5819397",
"0.58159214",
"0.5801726",
"0.5793916",
"0.5776489",
"0.5767991",
"0.57658136",
"0.576004",
"0.5758149",
"0.5742974",
"0.5724646",
"0.57046723",
"0.5695718",
"0.5684329",... | 0.69145757 | 0 |
To divide two intervals, Alyssa multiplies the first by the reciprocal of the second. Note that the bounds of the reciprocal interval are the reciprocal of the upper bound and the reciprocal of the lower bound, in that order. | function divInterval(x, y) {
return mulInterval(x, makeInterval(1.0 / upperBound(y), 1.0 / upperBound(y)));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function divide(a, b) {\n\t\ta = a + 0.0;\n\t\tb = b + 0.0;\n\t\tif(Math.abs(b) < 0.00001) {\n\t\t\tb = 0.0001;\n\t\t}\t\n\t\treturn a / b;\n\t}",
"function divide1(a, b) {\n return a / b; \n}",
"function divide(a, b) {\n return divide(a, b);\n}",
"function division(a, b) {\r\n\treturn a / b;\r\n}",
"fun... | [
"0.6556227",
"0.6140319",
"0.6107507",
"0.6097738",
"0.60297906",
"0.5959053",
"0.59564245",
"0.5914174",
"0.5869834",
"0.5859574",
"0.5777394",
"0.5768386",
"0.57455504",
"0.5718051",
"0.5714318",
"0.5704635",
"0.5701839",
"0.5690303",
"0.56748295",
"0.5670914",
"0.5670283",... | 0.6592287 | 0 |
it is not clear what it means to divide by an interval that spans zero. Modify the program to check for this condition and to signal an error if it occurs. | function log(x) {
return console.log(x);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function divide (dividend, divisor) {\r\n// -------------------- Your Code Here --------------------\r\nif (divisor === 0) {\r\n console.log(\"Divide by 0 ERROR\");\r\n}\r\n\r\n\r\n\r\n\r\n// --------------------- End Code Area --------------------\r\n}",
"function caml_raise_zero_divide () {\n caml_raise_co... | [
"0.7107541",
"0.6943888",
"0.66407484",
"0.66097045",
"0.62188107",
"0.6172213",
"0.6009928",
"0.596499",
"0.5939883",
"0.58870673",
"0.5883719",
"0.5857439",
"0.581766",
"0.57899725",
"0.5774233",
"0.5692952",
"0.5684881",
"0.5644853",
"0.56400067",
"0.5629245",
"0.56149054"... | 0.0 | -1 |
Define a constructor make_center_percent that takes a center and a percentage tolerance and produces the desired interval. You must also define a selector percent that produces the percentage tolerance for a given interval. The center selector is the same as the one shown above. | function makeCenterPercent(center, percent, width = center * (percent / 100)) {
return makeCenterWidth(center, width);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function getCubicBezierXYatPercent(startPt,controlPt1,controlPt2,endPt,percent){\n var x=CubicN(percent,startPt.x,controlPt1.x,controlPt2.x,endPt.x);\n var y=CubicN(percent,startPt.y,controlPt1.y,controlPt2.y,endPt.y);\n return({x:x,y:y});\n }",
"percent(val) {\n this._percent ... | [
"0.5441083",
"0.5423155",
"0.53515947",
"0.51415503",
"0.5099301",
"0.50814635",
"0.50578564",
"0.50578564",
"0.50578564",
"0.50578564",
"0.5045009",
"0.50370234",
"0.50069755",
"0.50069755",
"0.50069755",
"0.4975419",
"0.49723375",
"0.4970372",
"0.49646857",
"0.49646857",
"0... | 0.7483115 | 0 |
I DON'T HAVE ENOUGH TIIIIIME FOR THIS | function buildTable(toBuildFrom1) {
console.log('building');
let table = document.querySelector('table');
table.innerHTML = '';
let tableHeader = document.createElement('thead');
let tableBody = document.createElement('tbody');
let tableHeaderRow = document.createElement('tr');
let tableHeaderID = document.createElement('th');
let tableHeaderReporter = document.createElement('th');
let tableHeaderManufacturer = document.createElement('th');
let tableHeaderSerialNumber = document.createElement('th');
let tableHeaderDescription = document.createElement('th');
let tableHeaderDate = document.createElement('th');
let tableHeaderActions = document.createElement('th');
table.appendChild(tableHeader);
table.appendChild(tableBody);
tableHeader.appendChild(tableHeaderRow);
tableHeaderID.appendChild(document.createTextNode('ID'));
tableHeaderReporter.appendChild(document.createTextNode('Reporter'));
tableHeaderManufacturer.appendChild(document.createTextNode('Manufacturer'));
tableHeaderSerialNumber.appendChild(document.createTextNode('Serial number'));
tableHeaderDescription.appendChild(document.createTextNode('Description'));
tableHeaderDate.appendChild(document.createTextNode('Date'));
tableHeaderActions.appendChild(document.createTextNode('Actions'));
tableHeaderRow.appendChild(tableHeaderID);
tableHeaderRow.appendChild(tableHeaderReporter);
tableHeaderRow.appendChild(tableHeaderManufacturer);
tableHeaderRow.appendChild(tableHeaderSerialNumber);
tableHeaderRow.appendChild(tableHeaderDescription);
tableHeaderRow.appendChild(tableHeaderDate);
tableHeaderRow.appendChild(tableHeaderActions);
toBuildFrom1.forEach((e, i) => {
let tableBodyRow = document.createElement('tr');
let tableCellID = document.createElement('td');
let tableCellReporter = document.createElement('td');
let tableCellManufacturer = document.createElement('td');
let tableCellSerialNumber = document.createElement('td');
let tableCellDescription = document.createElement('td');
let tableCellDate = document.createElement('td');
let tableCellActions = document.createElement('td');
tableBody.appendChild(tableBodyRow);
tableBodyRow.appendChild(tableCellID);
tableBodyRow.appendChild(tableCellReporter);
tableBodyRow.appendChild(tableCellManufacturer);
tableBodyRow.appendChild(tableCellSerialNumber);
tableBodyRow.appendChild(tableCellDescription);
tableBodyRow.appendChild(tableCellDate);
tableBodyRow.appendChild(tableCellActions);
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private internal function m248() {}",
"private public function m246() {}",
"static private internal function m121() {}",
"protected internal function m252() {}",
"transient protected internal function m189() {}",
"transient private internal function m185() {}",
"static transient private protected inter... | [
"0.692721",
"0.66386545",
"0.64107764",
"0.640672",
"0.63495654",
"0.6288914",
"0.61102325",
"0.6092448",
"0.60191995",
"0.6005097",
"0.592703",
"0.5926077",
"0.5923283",
"0.59065974",
"0.59034216",
"0.5902647",
"0.58892524",
"0.5886282",
"0.5871479",
"0.5857213",
"0.58538973... | 0.0 | -1 |
in "normal" function you have arguments | function main() {
return argumentsAsString(...arguments)
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function args() {\n\n}",
"function SimpleArgs() {\r\n}",
"function argsFor() {\n\n}",
"function functionWithArgs (para1, para2) {\nconsole.log(para1 + para2);\n}",
"function functionWithArgs(a,b){\n console.log(a+b);\n }",
"function imprimeArguemntos(){\n console.log(arguments);\n}",
"function b... | [
"0.7216065",
"0.7063855",
"0.69777256",
"0.6775883",
"0.67742324",
"0.6650073",
"0.6642892",
"0.66353196",
"0.66227317",
"0.6579017",
"0.65786034",
"0.65367085",
"0.6509908",
"0.65036905",
"0.64986616",
"0.64883626",
"0.6445828",
"0.6445764",
"0.6444234",
"0.64341795",
"0.642... | 0.0 | -1 |
validate number function, ensure user input is greater than 0 | function validateNumber(value) {
var valid = Number.isInteger(parseFloat(value));
var sign = Math.sign(value);
if (valid && (sign === 1)) {
return true;
} else {
return "Please enter a number";
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function validInput(input) {\n return isInteger(input) && input > 0\n}",
"function validNumber(input){\r\n\treturn (input.length == 10 || input[0] == \"0\");\r\n}",
"function validateInput(value) {\n\tvar integer = Number.isInteger(parseFloat(value));\n\tvar sign = Math.sign(value);\n\tif (integer && (sign ... | [
"0.7979747",
"0.7878278",
"0.7802421",
"0.77656823",
"0.7717826",
"0.7703171",
"0.7676109",
"0.7575973",
"0.7508404",
"0.7434431",
"0.74314135",
"0.7429841",
"0.7421819",
"0.74133444",
"0.7400117",
"0.7379163",
"0.73684",
"0.7354481",
"0.735385",
"0.73500985",
"0.73500985",
... | 0.7191338 | 28 |
user prompt function to capture and validate the id/quantity they would like to purchase | function purchase() {
inquirer.prompt([{
name: "item_id",
type: "input",
message: "What is the ID of the item you would like to purchase?",
validate: validateNumber,
filter: Number
},
{
name: "quantity",
type: "input",
message: "How many units would you like to purchase?",
validate: validateNumber,
filter: Number
}
]).then(function (input) {
//capture user response in variables
var chosenID = input.item_id;
var userAmount = input.quantity;
//query mysql table to grab selected item information
var queryStr = 'SELECT * FROM products WHERE ?';
connection.query(queryStr, {
item_id: chosenID
}, function (err, data) {
if (err) throw err;
//display item selected to verify user input is being captured and correctly pulled from database
// console.log(res);
// if user amount requested is less than or equal to stock quantity value, subtract value from stock quantity
else {
var itemData = data[0];
//if the requested amount is less than or equal to the quantity in stock, purchase is valid
if (userAmount <= itemData.stock_quantity) {
console.log("Sending out your order!");
//capture query string to update table where the item is equal to the user chosen id
var updateQueryStr = 'UPDATE products SET stock_quantity = ' + (itemData.stock_quantity - userAmount) + ' WHERE item_id = ' + chosenID;
//update the table stock quantity
connection.query(updateQueryStr, function (err, data) {
if (err) throw err;
console.log("Your order is on it's way! The total price is $" + itemData.price * userAmount);
connection.end();
});
} else {
console.log("Sorry! There is not enough product in stock");
//display table after values are updated
start();
}
}
});
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"function userPurchase() {\n inquirer\n .prompt([\n {\n name: \"id\",\n type: \"input\",\n message: \"\\nWhat's the item ID of the product you would like to buy? \",\n filter: Number\n },\n {\n name: \"quantity\",\n type: \"input\",\n m... | [
"0.80536026",
"0.8019164",
"0.8015831",
"0.7915313",
"0.7897343",
"0.7864858",
"0.7813461",
"0.7811712",
"0.77833486",
"0.7760087",
"0.77232844",
"0.77152956",
"0.7707057",
"0.7700719",
"0.7656809",
"0.76543355",
"0.7651184",
"0.7633634",
"0.76255906",
"0.7605903",
"0.758634"... | 0.7197916 | 56 |
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