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visual.html
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visual.html
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<!DOCTYPE html>
<html lang="en">
<head>
<title>Sorting Algorithms Visualization</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<style>
body {
font-family: Arial, sans-serif;
background-color: #f4f4f4;
margin: 0;
padding: 0;
}
#buttons {
margin: 20px;
text-align: center;
display: flex;
flex-wrap: wrap;
justify-content: center;
}
input, button, select {
margin: 5px;
padding: 10px;
font-size: 16px;
border-radius: 5px;
border: 1px solid #ccc;
outline: none;
}
button {
cursor: pointer;
transition: background-color 0.3s ease;
}
button:hover {
background-color: #ddd;
}
.btn-primary {
background-color: #007bff;
color: white;
border: none;
}
.btn-primary:hover {
background-color: #0056b3;
}
.btn-danger {
background-color: #dc3545;
color: white;
border: none;
}
.btn-danger:hover {
background-color: #bd2130;
}
.header {
background-color: #333;
color: white;
padding: 20px 0;
text-align: center;
}
.sh {
display: flex;
justify-content: center;
align-items: flex-end;
height: 60vh;
margin-top: 20px;
width: 100%;
max-width: 1200px;
margin-left: auto;
margin-right: auto;
position: relative;
overflow-x: auto;
}
#heading {
text-align: center;
margin-top: 20px;
font-size: 36px;
font-weight: bold;
}
.bar-container {
position: absolute;
display: flex;
flex-direction: column;
align-items: center;
transition: left 0.5s ease-in-out;
}
.bar{
background-color: #3498db;
transition: background-color 0.5s ease-in-out, height 0.5s ease-in-out;
}
@media screen and (max-width: 768px) {
.sh {
height: 50vh;
}
.bar-label {
font-size: 10px;
}
}
@media screen and (max-width: 480px) {
.sh {
height: 40vh;
}
.bar-label {
font-size: 8px;
}
}
.bar-label {
margin-bottom: 5px;
font-weight: bold;
font-size: 12px;
}
.comparing {
background-color: #e74c3c;
}
.sorted {
background-color: #2ecc71;
}
.tour-overlay {
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
background-color: rgba(0, 0, 0, 0.5);
z-index: 1000;
display: none;
}
.tour-popup {
position: fixed;
background-color: rgba(255, 255, 255, 0.9);
border-radius: 5px;
padding: 20px;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.3);
max-width: 300px;
z-index: 1001;
max-height: calc(100vh - 40px);
overflow-y: auto;
}
.tour-popup h3 {
margin-top: 0;
color: #333;
}
.tour-popup p {
margin-bottom: 15px;
}
.tour-popup button {
background-color: #007bff;
color: white;
border: none;
padding: 5px 10px;
border-radius: 3px;
cursor: pointer;
margin-right: 10px;
}
.tour-popup button:hover {
background-color: #0056b3;
}
.tour-popup .skip-btn {
background-color: #dc3545;
}
.tour-popup .skip-btn:hover {
background-color: #c82333;
}
.sidebar {
height: 100%;
width: 0;
position: fixed;
z-index: 1000;
top: 0;
right: 0;
background: linear-gradient(135deg, #111 0%, #333 100%);
overflow-x: hidden;
transition: 0.5s;
padding-top: 60px;
color: white;
box-shadow: -2px 0 5px rgba(0,0,0,0.5);
}
.sidebar h2 {
color: #f1f1f1;
font-size: 24px;
margin-bottom: 20px;
text-align: center;
text-transform: uppercase;
}
.sidebar h3 {
color: #ddd;
font-size: 18px;
margin-top: 20px;
margin-bottom: 10px;
}
.sidebar p {
font-size: 14px;
line-height: 1.6;
margin-bottom: 15px;
}
.sidebar pre {
white-space: pre-wrap;
word-wrap: break-word;
background-color: #222;
border: 1px solid #444;
padding: 10px;
border-radius: 5px;
font-size: 12px;
line-height: 1.4;
margin-bottom: 15px;
}
.sidebar-content {
padding: 0 20px;
}
.sidebar table {
width: 100%;
border-collapse: collapse;
margin-bottom: 15px;
}
.sidebar table td {
padding: 5px;
border-bottom: 1px solid #444;
}
.sidebar table td:first-child {
width: 30%;
}
.openbtn {
font-size: 20px;
cursor: pointer;
background-color: #111;
color: white;
padding: 10px 15px;
border: none;
transition: 0.3s;
}
.openbtn:hover {
background-color: #444;
}
.openbtn.active {
background-color: #4CAF50;
}
.complexity-container {
display: flex;
flex-direction: column;
margin-bottom: 15px;
}
.complexity-box {
width: 100%;
background-color: #222;
border: 1px solid #444;
border-radius: 5px;
padding: 10px;
margin-bottom: 10px;
}
.complexity-box h3 {
margin-top: 0;
margin-bottom: 10px;
font-size: 16px;
}
.complexity-box table {
width: 100%;
}
.complexity-box p {
margin: 0;
}
.sidebar {
overflow-y: auto;
}
.sidebar-content {
padding: 0 20px 20px 20px;
}
#main {
transition: margin-right .5s;
padding: 16px;
}
@media screen and (max-width: 768px) {
#heading {
font-size: 24px;
}
.sh {
height: 300px;
}
.sidebar {
width: 100%;
}
#main {
margin-right: 0;
}
.openbtn {
width: 100%;
margin-bottom: 10px;
}
input, button, select {
width: calc(100% - 10px);
margin: 5px;
}
#buttons {
flex-direction: column;
}
.tour-popup {
width: 90%;
left: 5% !important;
max-height: 80vh;
overflow-y: auto;
}
}
</style>
</head>
<body>
<div id="Loader"></div>
<div class="header">
<h1 id="heading">Sorting Algorithms Visualization</h1>
</div>
<div id="mySidebar" class="sidebar">
<div class="sidebar-content">
<div id="algoInfo"></div>
</div>
</div>
<div id="main">
<button class="openbtn" onclick="toggleNav()">☰ Algorithm Info</button>
<div class="sh" id="visualization"></div>
<div id="buttons">
<input id="array" type="text" placeholder="Enter array separated by space" size="30">
<button id="submit" class="btn-primary" onclick="submit()">Submit</button>
<select id="sortSelect" onchange="updateAlgoInfo()">
<option value="bubble">Bubble Sort</option>
<option value="selection">Selection Sort</option>
<option value="insertion">Insertion Sort</option>
<option value="comb">Comb Sort</option>
<option value="merge">Merge Sort</option>
<option value="heap">Heap Sort</option>
<option value="quick">Quick Sort</option>
<option value="radix">Radix Sort</option>
</select>
<button id="start" class="btn-primary" onclick="startSort()">Start Sort</button>
<button class="btn-primary" onclick="stop = true; stopClicked()">Stop</button>
<button id="resume" class="btn-primary" onclick="stop = false; startSort()">Resume</button>
<button id="reset" class="btn-primary" onclick="reset()">Reset</button>
<button class="btn-danger" onClick="window.location.reload();">Clear</button>
</div>
</div>
<div class="tour-overlay" id="tourOverlay">
<div class="tour-popup" id="tourPopup">
<h3 id="tourTitle"></h3>
<p id="tourDescription"></p>
<button id="tourNext">Next</button>
<button id="tourSkip" class="skip-btn">Skip</button>
</div>
</div>
<script>
let array = [];
let stop = false;
let sidebarOpen = false;
const delay = ms => new Promise(res => setTimeout(res, ms));
const delayTime = 300;
function submit() {
const input = document.getElementById("array").value;
array = input.split(" ").map(Number);
visualizeArray(array);
}
function visualizeArray(arr) {
const container = document.getElementById("visualization");
container.innerHTML = "";
const maxVal = Math.max(...arr);
const containerWidth = container.offsetWidth;
const containerHeight = container.offsetHeight;
const barWidth = Math.max(20, Math.min(80, containerWidth / arr.length - 2));
arr.forEach((val, idx) => {
const barContainer = document.createElement("div");
barContainer.className = "bar-container";
barContainer.style.width = `${barWidth}px`;
barContainer.style.left = `${idx * (barWidth + 2)}px`;
const label = document.createElement("div");
label.className = "bar-label";
label.textContent = val;
const bar = document.createElement("div");
bar.className = "bar";
const barHeight = (val / maxVal) * (containerHeight - 30);
bar.style.height = `${(val / maxVal) * 300}px`;
bar.style.width = `${barWidth}px`;
bar.id = `bar-${idx}`;
barContainer.appendChild(label);
barContainer.appendChild(bar);
container.appendChild(barContainer);
});
}
async function updateBars() {
const container = document.getElementById("visualization");
const maxVal = Math.max(...array);
const containerHeight = container.offsetHeight;
array.forEach((val, idx) => {
const barContainer = document.getElementById(`bar-${idx}`).parentElement;
const label = barContainer.querySelector('.bar-label');
const bar = barContainer.querySelector('.bar');
label.textContent = val;
const barHeight = (val / maxVal) * (containerHeight - 30);
bar.style.height = `${barHeight}px`;
});
await delay(delayTime);
}
async function swap(i, j) {
const temp = array[i];
array[i] = array[j];
array[j] = temp;
const container1 = document.getElementById(`bar-${i}`).parentElement;
const container2 = document.getElementById(`bar-${j}`).parentElement;
const tempLeft = container1.style.left;
container1.style.left = container2.style.left;
container2.style.left = tempLeft;
container1.querySelector('.bar').id = `bar-${j}`;
container2.querySelector('.bar').id = `bar-${i}`;
await updateBars();
}
async function bubbleSort() {
for (let i = 0; i < array.length; i++) {
for (let j = 0; j < array.length - i - 1; j++) {
if (stop) return;
document.getElementById(`bar-${j}`).classList.add("comparing");
document.getElementById(`bar-${j + 1}`).classList.add("comparing");
await delay(delayTime);
if (array[j] > array[j + 1]) {
await swap(j, j + 1);
}
document.getElementById(`bar-${j}`).classList.remove("comparing");
document.getElementById(`bar-${j + 1}`).classList.remove("comparing");
}
document.getElementById(`bar-${array.length - i - 1}`).classList.add("sorted");
}
}
async function selectionSort() {
for (let i = 0; i < array.length; i++) {
let minIdx = i;
document.getElementById(`bar-${i}`).classList.add("comparing");
for (let j = i + 1; j < array.length; j++) {
if (stop) return;
document.getElementById(`bar-${j}`).classList.add("comparing");
await delay(delayTime);
if (array[j] < array[minIdx]) {
minIdx = j;
}
document.getElementById(`bar-${j}`).classList.remove("comparing");
}
if (minIdx !== i) {
await swap(i, minIdx);
}
document.getElementById(`bar-${i}`).classList.remove("comparing");
document.getElementById(`bar-${i}`).classList.add("sorted");
}
}
async function insertionSort() {
for (let i = 1; i < array.length; i++) {
let j = i;
document.getElementById(`bar-${j}`).classList.add("comparing");
while (j > 0 && array[j - 1] > array[j]) {
if (stop) return;
await swap(j, j - 1);
j--;
await delay(delayTime);
}
document.getElementById(`bar-${j}`).classList.remove("comparing");
for (let k = 0; k <= i; k++) {
document.getElementById(`bar-${k}`).classList.add("sorted");
}
}
}
async function mergeSortWrapper() {
await mergeSort(0, array.length - 1);
}
async function mergeSort(left, right) {
if (left < right) {
const middle = Math.floor((left + right) / 2);
await mergeSort(left, middle);
await mergeSort(middle + 1, right);
await merge(left, middle, right);
}
}
async function merge(left, middle, right) {
const leftArray = array.slice(left, middle + 1);
const rightArray = array.slice(middle + 1, right + 1);
let i = 0, j = 0, k = left;
while (i < leftArray.length && j < rightArray.length) {
if (stop) return;
await highlightBars([left + i, middle + 1 + j], "comparing");
await delay(delayTime);
if (leftArray[i] <= rightArray[j]) {
array[k] = leftArray[i];
i++;
} else {
array[k] = rightArray[j];
j++;
}
await updateSingleBar(k);
k++;
}
while (i < leftArray.length) {
if (stop) return;
array[k] = leftArray[i];
await updateSingleBar(k);
i++;
k++;
}
while (j < rightArray.length) {
if (stop) return;
array[k] = rightArray[j];
await updateSingleBar(k);
j++;
k++;
}
for (let i = left; i <= right; i++) {
await highlightBars([i], "sorted");
}
}
async function heapSort() {
let n = array.length;
for (let i = Math.floor(n / 2) - 1; i >= 0; i--)
await heapify(n, i);
for (let i = n - 1; i > 0; i--) {
if (stop) return;
await swap(0, i);
await heapify(i, 0);
document.getElementById(`bar-${i}`).classList.add("sorted");
}
document.getElementById(`bar-0`).classList.add("sorted");
}
async function combSort() {
let gap = array.length;
let shrink = 1.3;
let sorted = false;
while (!sorted) {
gap = Math.floor(gap / shrink);
if (gap <= 1) {
gap = 1;
sorted = true;
}
let i = 0;
while (i + gap < array.length) {
if (stop) return;
if (array[i] > array[i + gap]) {
await swap(i, i + gap);
sorted = false;
}
i++;
}
}
for (let i = 0; i < array.length; i++) {
document.getElementById(`bar-${i}`).classList.add("sorted");
}
}
async function heapify(n, i) {
let largest = i;
let l = 2 * i + 1;
let r = 2 * i + 2;
if (l < n && array[l] > array[largest])
largest = l;
if (r < n && array[r] > array[largest])
largest = r;
if (largest != i) {
await highlightBars([i, largest], "comparing");
await swap(i, largest);
await heapify(n, largest);
}
}
async function quickSort(low = 0, high = array.length - 1) {
if (low < high) {
let pi = await partition(low, high);
await quickSort(low, pi - 1);
await quickSort(pi + 1, high);
}
if (low === 0 && high === array.length - 1) {
for (let i = 0; i < array.length; i++) {
document.getElementById(`bar-${i}`).classList.add("sorted");
}
}
}
async function partition(low, high) {
let pivot = array[high];
let i = low - 1;
for (let j = low; j <= high - 1; j++) {
if (stop) return;
await highlightBars([j, high], "comparing");
if (array[j] < pivot) {
i++;
await swap(i, j);
}
}
await swap(i + 1, high);
return i + 1;
}
function getMax(arr) {
let max = arr[0];
for (let i = 1; i < arr.length; i++) {
if (arr[i] > max) {
max = arr[i];
}
}
return max;
}
// Function to count sort based on the digit represented by exp
async function countSort(arr, exp) {
let output = new Array(arr.length);
let count = new Array(10).fill(0);
for (let i = 0; i < arr.length; i++) {
count[Math.floor(arr[i] / exp) % 10]++;
}
for (let i = 1; i < 10; i++) {
count[i] += count[i - 1];
}
for (let i = arr.length - 1; i >= 0; i--) {
output[count[Math.floor(arr[i] / exp) % 10] - 1] = arr[i];
count[Math.floor(arr[i] / exp) % 10]--;
}
for (let i = 0; i < arr.length; i++) {
arr[i] = output[i];
await updateSingleBar(i);
}
}
// Function to implement Radix Sort
async function radixSort() {
let m = getMax(array);
for (let exp = 1; Math.floor(m / exp) > 0; exp *= 10) {
await countSort(array, exp);
if (stop) return;
}
}
async function highlightBars(indices, className) {
indices.forEach(index => {
document.getElementById(`bar-${index}`).classList.remove("comparing", "sorted");
if (className) {
document.getElementById(`bar-${index}`).classList.add(className);
}
});
await delay(delayTime);
}
async function updateSingleBar(index) {
const maxVal = Math.max(...array);
const container = document.getElementById(`bar-${index}`).parentElement;
const label = container.querySelector('.bar-label');
const bar = container.querySelector('.bar');
label.textContent = array[index];
bar.style.height = `${(array[index] / maxVal) * 300}px`;
await delay(delayTime);
}
function reset() {
stop = false;
visualizeArray(array);
}
function stopClicked(){
document.getElementById("resume").disabled = false;
document.getElementById("reset").disabled = false;
}
function disableSubmitButton() {
document.getElementById("submit").disabled = true;
document.getElementById("start").disabled = true;
document.getElementById("resume").disabled = true;
document.getElementById("reset").disabled = true;
}
function enableSubmitButton() {
document.getElementById("submit").disabled = false;
document.getElementById("start").disabled = false;
document.getElementById("resume").disabled = false;
document.getElementById("reset").disabled = false;
}
async function startSort() {
disableSubmitButton();
reset();
const sortMethod = document.getElementById("sortSelect").value;
switch(sortMethod) {
case "bubble":
await bubbleSort();
break;
case "selection":
await selectionSort();
break;
case "insertion":
await insertionSort();
break;
case "merge":
await mergeSortWrapper();
break;
case "heap":
await heapSort();
break;
case "comb":
await combSort();
break;
case "quick":
await quickSort();
break;
case "radix":
await radixSort();
break;
}
enableSubmitButton();
}
const AlgorithmInfo = {
bubble: {
description: "Bubble Sort repeatedly steps through the list, compares adjacent elements and swaps them if they are in the wrong order.",
algorithm: `1. Start with the first element.
2. Compare the current element with the next element.
3. If the current element is greater than the next element, swap them.
4. Move to the next element and repeat step 2.
5. Continue this process until no more swaps are needed.`,
timeComplexity: {
best: "O(n)",
average: "O(n²)",
worst: "O(n²)"
},
spaceComplexity: "O(1)\n\n"
},
selection: {
description: "Selection Sort divides the input list into two parts: a sorted portion at the left end and an unsorted portion at the right end.",
algorithm: `1. Find the smallest element in the unsorted portion.
2. Swap it with the first element of the unsorted portion.
3. Move the boundary between the sorted and unsorted portions one element to the right.
4. Repeat steps 1-3 until the entire array is sorted.`,
timeComplexity: {
best: "O(n²)",
average: "O(n²)",
worst: "O(n²)"
},
spaceComplexity: "O(1)\n\n"
},
insertion: {
description: "Insertion Sort builds the final sorted array one item at a time. It is much less efficient on large lists than more advanced algorithms.",
algorithm: `1. Start with the second element.
2. Compare it with the elements before it.
3. Insert it into its correct position in the sorted portion.
4. Move to the next unsorted element.
5. Repeat steps 2-4 until all elements are sorted.`,
timeComplexity: {
best: "O(n)",
average: "O(n²)",
worst: "O(n²)"
},
spaceComplexity: "O(1)\n\n"
},
merge: {
description: "Merge Sort is an efficient, stable sorting algorithm that makes use of the divide and conquer strategy.",
algorithm: `1. Divide the unsorted list into n sublists, each containing one element.
2. Repeatedly merge sublists to produce new sorted sublists until there is only one sublist remaining.
3. During merging:
a. Compare the first elements of both sublists.
b. Take the smaller element and add it to the merged list.
c. Move to the next element in the sublist from which the element was taken.
d. Repeat until one sublist is empty.
e. Append any remaining elements from the non-empty sublist.`,
timeComplexity: {
best: "O(n log n)",
average: "O(n log n)",
worst: "O(n log n)"
},
spaceComplexity: "O(n)\n\n"
},
comb: {
description: "Comb Sort is mainly an improvement over Bubble Sort. The basic idea is to eliminate turtles, or small values near the end of the list.",
algorithm: `1. Initialize gap size as array length.
2. Set shrink factor (usually 1.3).
3. While gap > 1 or swapped is true:
a. Calculate gap (gap / shrink factor).
b. Set swapped to false.
c. Compare elements with current gap.
d. If out of order, swap them and set swapped to true.
4. If gap is 1, perform a final bubble sort pass.`,
timeComplexity: {
best: "O(n log n)",
average: "O(n²)",
worst: "O(n²)"
},
spaceComplexity: "O(1)\n\n"
},
heap: {
description: "Heap Sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to selection sort where we first find the minimum element and place it at the beginning.",
algorithm: `1. Build a max heap from the input data.
2. Swap the root (maximum element) with the last element of the heap.
3. Reduce the heap size by 1.
4. Heapify the root of the tree.
5. Repeat steps 2-4 while the size of the heap is greater than 1.`,
timeComplexity: {
best: "O(n log n)",
average: "O(n log n)",
worst: "O(n log n)"
},
spaceComplexity: "O(1)\n\n"
},
quick: {
description: "QuickSort is a Divide and Conquer algorithm. It picks an element as pivot and partitions the given array around the picked pivot.",
algorithm: `1. Choose a pivot element from the array.
2. Partition the array around the pivot:
a. Move all elements smaller than the pivot to its left.
b. Move all elements greater than the pivot to its right.
3. Recursively apply steps 1-2 to the sub-array of elements with smaller values and the sub-array of elements with greater values.`,
timeComplexity: {
best: "O(n log n)",
average: "O(n log n)",
worst: "O(n²)"
},
spaceComplexity: "O(log n)\n\n"
}
};
function updateAlgoInfo() {
const sortMethod = document.getElementById("sortSelect").value;
const info = AlgorithmInfo[sortMethod];
const infoElement = document.getElementById("algoInfo");
infoElement.innerHTML = `
<h2>${sortMethod.charAt(0).toUpperCase() + sortMethod.slice(1)} Sort</h2>
<h3>Description:</h3>
<p>${info.description}</p>
<div class="complexity-container">
<div class="complexity-box">
<h3>Time Complexity</h3>
<table>
<tr><td><strong>Best:</strong></td><td>${info.timeComplexity.best}</td></tr>
<tr><td><strong>Average:</strong></td><td>${info.timeComplexity.average}</td></tr>
<tr><td><strong>Worst:</strong></td><td>${info.timeComplexity.worst}</td></tr>
</table>
</div>
<div class="complexity-box">
<h3>Space Complexity</h3>
<p>${info.spaceComplexity}</p>
</div>
</div>
<h3>Algorithm:</h3>
<pre>${info.algorithm}</pre>
`;
}
function toggleNav() {
if (sidebarOpen) {
closeNav();
} else {
openNav();
}
}
function openNav() {
document.getElementById("mySidebar").style.width = "300px";
document.getElementById("main").style.marginRight = "300px";
document.querySelector(".openbtn").classList.add("active");
document.querySelector(".openbtn").innerHTML = "✕ Close Info";
updateAlgoInfo();
sidebarOpen = true;
}
function closeNav() {
document.getElementById("mySidebar").style.width = "0";
document.getElementById("main").style.marginRight = "0";
document.querySelector(".openbtn").classList.remove("active");
document.querySelector(".openbtn").innerHTML = "☰ Algorithm Info";
sidebarOpen = false;
}
const tourSteps = [
{
title: "Welcome to Sorting Visualizer",
description: "This tour will guide you through the features of our sorting algorithm visualizer.",
target: "heading"
},
{
title: "Enter Your Array",
description: "Type your numbers separated by spaces in this input box.",
target: "array"
},
{
title: "Submit Array",
description: "Click this button to visualize your entered array.",
target: "submit"
},
{
title: "Choose Sorting Algorithm",
description: "Select the sorting algorithm you want to visualize.",
target: "sortSelect"
},
{
title: "Algorithm Information",
description: "Click this button to open a sidebar with detailed information about the selected algorithm, including its description and complexity.",
target: "openbtn"
},
{
title: "Start Sorting",
description: "Click this button to start the sorting process.",
target: "start"
},
{
title: "Additional Controls",
description: "Use these buttons to stop, resume, reset, or clear the visualization.",
target: "buttons"
}
];
let currentStep = 0;
function startTour() {
document.getElementById("tourOverlay").style.display = "block";
showStep(currentStep);
}
function showStep(step) {
const tourPopup = document.getElementById("tourPopup");
const targetElement = document.getElementById(tourSteps[step].target);
const targetRect = targetElement.getBoundingClientRect();
let top = targetRect.bottom + 10;
let left = targetRect.left + targetRect.width / 2 - 150;
if (left < 10) left = 10;
if (left + 300 > window.innerWidth) left = window.innerWidth - 310;
if (top + 200 > window.innerHeight) {
top = targetRect.top - 210;
if (top < 10) {
top = 10;
}
}
top = Math.max(10, Math.min(top, window.innerHeight - 210));
tourPopup.style.left = `${left}px`;
tourPopup.style.top = `${top}px`;
document.getElementById("tourTitle").textContent = tourSteps[step].title;
document.getElementById("tourDescription").textContent = tourSteps[step].description;
if (step === tourSteps.length - 1) {
document.getElementById("tourNext").textContent = "Finish";
} else {
document.getElementById("tourNext").textContent = "Next";
}
targetElement.scrollIntoView({ behavior: 'smooth', block: 'nearest', inline: 'nearest' });
}
document.getElementById("tourNext").addEventListener("click", () => {
currentStep++;
if (currentStep < tourSteps.length) {
showStep(currentStep);
} else {
document.getElementById("tourOverlay").style.display = "none";
currentStep = 0;
}
});
window.addEventListener("load", function() {
loader.style.display = "none";
startTour();
});