feat: comprehensive documentation and demo updates
- Update READMEs and docs across multiple languages - Enhance interactive demos for Agent, LLM, VLM, Audio, Image Gen, Terminal, and Web Basics - Add new appendix sections for Database and IDE intros - Update VitePress config, theme, and utility scripts - Clean up unused assets and components
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@@ -0,0 +1,263 @@
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<script setup>
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import { ref, computed } from 'vue'
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const searchQuery = ref(55)
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const isSearching = ref(false)
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const scanCurrentIndex = ref(-1)
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const treeActiveNodes = ref([])
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const searchResult = ref(null)
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const mode = ref('scan') // 'scan' or 'index'
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const DATA_SIZE = 64
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const data = Array.from({ length: DATA_SIZE }, (_, i) => ({
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id: i + 1,
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value: `Data-${i + 1}`
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}))
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// Simplified Tree Search Simulation (Binary Search steps)
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const startSearch = async () => {
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if (isSearching.value) return
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isSearching.value = true
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scanCurrentIndex.value = -1
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treeActiveNodes.value = []
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searchResult.value = null
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const target = Number(searchQuery.value)
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if (mode.value === 'scan') {
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for (let i = 0; i < data.length; i++) {
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scanCurrentIndex.value = i
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await new Promise((r) => setTimeout(r, 30)) // 30ms per step
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if (data[i].id === target) {
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searchResult.value = data[i]
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break
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}
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}
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} else {
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// Tree Search Simulation (Binary Search steps)
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let start = 0
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let end = data.length - 1
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while (start <= end) {
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let mid = Math.floor((start + end) / 2)
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treeActiveNodes.value.push(mid) // Highlight the "node" we are checking
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await new Promise((r) => setTimeout(r, 400)) // Slower steps for tree to be visible
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if (data[mid].id === target) {
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searchResult.value = data[mid]
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break
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} else if (data[mid].id < target) {
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start = mid + 1
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} else {
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end = mid - 1
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}
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}
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}
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isSearching.value = false
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}
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</script>
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<template>
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<div class="db-demo">
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<div class="controls">
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<div class="control-item">
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<span>查找 ID: </span>
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<el-input-number
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v-model="searchQuery"
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:min="1"
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:max="DATA_SIZE"
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size="small"
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/>
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</div>
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<el-radio-group v-model="mode" size="small">
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<el-radio-button label="scan">全表扫描 (O(n))</el-radio-button>
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<el-radio-button label="index">索引查找 (O(log n))</el-radio-button>
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</el-radio-group>
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<el-button
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type="primary"
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@click="startSearch"
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:loading="isSearching"
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size="small"
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>开始查询</el-button
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>
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</div>
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<div class="visualization-area">
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<!-- Full Scan Visualization -->
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<div v-if="mode === 'scan'" class="view-container">
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<div class="grid">
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<div
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v-for="(item, index) in data"
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:key="item.id"
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class="data-block"
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:class="{
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active: index === scanCurrentIndex,
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found: searchResult && searchResult.id === item.id
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}"
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>
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{{ item.id }}
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</div>
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</div>
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<p class="desc">
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全表扫描:数据库必须逐行检查数据,直到找到匹配项。数据越多,速度越慢。
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</p>
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</div>
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<!-- Index Visualization -->
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<div v-else class="view-container">
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<div class="grid">
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<div
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v-for="(item, index) in data"
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:key="item.id"
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class="data-block tree-node"
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:class="{
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visited: treeActiveNodes.includes(index),
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found: searchResult && searchResult.id === item.id,
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dimmed:
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treeActiveNodes.length > 0 && !treeActiveNodes.includes(index)
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}"
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>
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{{ item.id }}
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</div>
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</div>
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<p class="desc">
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索引查找:类似二分查找或 B+
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树,每次比较都能排除掉一半(或更多)的数据,极快地定位目标。
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</p>
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</div>
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</div>
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<div class="stats" v-if="!isSearching && searchResult">
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<div class="stat-item">
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<span class="label">查找结果:</span>
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<span class="value">{{ searchResult.value }}</span>
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</div>
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<div class="stat-item">
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<span class="label">操作次数:</span>
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<span class="value highlight"
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>{{
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mode === 'scan' ? scanCurrentIndex + 1 : treeActiveNodes.length
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}}
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次</span
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>
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</div>
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</div>
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</div>
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</template>
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<style scoped>
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.db-demo {
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padding: 20px;
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border: 1px solid #e4e7ed;
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border-radius: 8px;
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background: #ffffff;
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font-family: sans-serif;
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}
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.controls {
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display: flex;
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gap: 15px;
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margin-bottom: 20px;
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flex-wrap: wrap;
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align-items: center;
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padding-bottom: 15px;
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border-bottom: 1px solid #eee;
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}
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.control-item {
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display: flex;
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align-items: center;
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gap: 8px;
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font-size: 14px;
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}
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.view-container {
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min-height: 200px;
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display: flex;
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flex-direction: column;
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align-items: center;
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}
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.grid {
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display: flex;
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flex-wrap: wrap;
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gap: 6px;
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justify-content: center;
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margin-bottom: 15px;
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}
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.data-block {
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width: 32px;
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height: 32px;
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background: #f0f2f5;
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display: flex;
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align-items: center;
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justify-content: center;
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font-size: 12px;
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border-radius: 4px;
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color: #606266;
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transition: all 0.3s;
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border: 1px solid transparent;
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}
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.data-block.active {
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background: #409eff;
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color: white;
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transform: scale(1.15);
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box-shadow: 0 2px 12px 0 rgba(0, 0, 0, 0.1);
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border-color: #409eff;
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z-index: 1;
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}
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.data-block.found {
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background: #67c23a;
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color: white;
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transform: scale(1.2);
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box-shadow: 0 0 15px rgba(103, 194, 58, 0.5);
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border-color: #67c23a;
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z-index: 2;
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font-weight: bold;
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}
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.tree-node.visited {
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background: #e6a23c;
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color: white;
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transform: scale(1.1);
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box-shadow: 0 2px 8px rgba(230, 162, 60, 0.4);
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z-index: 1;
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}
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.tree-node.dimmed {
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opacity: 0.2;
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filter: grayscale(100%);
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}
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.desc {
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font-size: 14px;
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color: #909399;
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text-align: center;
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margin-top: 10px;
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max-width: 600px;
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}
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.stats {
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margin-top: 20px;
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padding: 15px;
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background: #fdf6ec;
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border-radius: 4px;
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display: flex;
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justify-content: space-around;
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}
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.stat-item {
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display: flex;
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flex-direction: column;
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align-items: center;
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gap: 5px;
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}
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.label {
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font-size: 12px;
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color: #909399;
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}
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.value {
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font-size: 16px;
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font-weight: bold;
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color: #303133;
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}
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.value.highlight {
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color: #e6a23c;
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font-size: 20px;
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}
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</style>
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