Respan Dataset Explorer

Select one behavior. Every returned turn has one binary label: Present or Absent. Source: final dense boolean release.

5,167,182physical rows
86shards
0.00%qualified row coverage
0.00%qualified cell coverage
Random row JSON API

turns-00055.parquet:30035

8b042e2c9788923d48f05999
turn 11/12gpt-4o-2024-11-20EnglishChina823 words
degenerate_repetitionAbsentFinal dense release
USER
<template>
  <div>
    <el-container>
      <!-- 侧边栏 -->
      <el-aside
          style="width: 200px; min-height: 100vh; background-color: rgb(254, 64, 74);"
      >
        <div
            style="height: 60px; display: flex; align-items: center; justify-content: center;"
        >
          <img src="./photo/GH.jpg" alt="Logo" style="width: 100%; height: auto" />
        </div>
        <el-menu
            class="custom-menu"
            style="width: 200px; background-color: #fe8f8f;"
            popper-append-to-body
        >
          <el-row>
            <el-col :span="12">
              <el-menu
                  class="custom-menu"
                  style="width: 200px; background-color: #fe8f8f;"
                  popper-append-to-body
              >
                <el-submenu index="1">
                  <template slot="title">
                    <i class="el-icon-location"></i>
                    <span>导航栏</span>
                  </template>
                  <el-menu-item-group>
                    <el-menu-item index="2">
                      <router-link to="/home#section1">首页</router-link>
                    </el-menu-item>
                    <el-menu-item index="4">
                      <router-link to="/borrow">借阅系统</router-link>
                    </el-menu-item>
                  </el-menu-item-group>
                </el-submenu>
              </el-menu>
            </el-col>
          </el-row>
        </el-menu>
      </el-aside>

      <el-container>
        <!-- 头部 -->
        <el-header
            style="font-family: 楷体; text-align: center; font-weight: bold; background-color: rgb(254, 64, 74); color: white; font-size: 50px; position: relative;"
        >
          红色精神图书管理系统
          <!-- 注销按钮 -->
          <el-button
              type="danger"
              style="position: absolute; top: 10px; right: 20px; font-size: 14px;"
              @click="handleLogout"
          >
            注销
          </el-button>
        </el-header>

        <!-- 主要 -->
        <el-main>
          <div class="carousel-container">
            <!-- 新增书架按钮,位于轮播图右上角 -->
            <el-button
                type="danger"
                class="open-shelf-button"
                @click="toggleBookShelf"
            >
              在线书架
            </el-button>

            <el-carousel :interval="5000" arrow="always" height="692px" @change="startMusic">
              <!-- 使用 v-for 循环动态绑定图片 -->
              <el-carousel-item
                  v-for="(image, index) in carouselImages"
                  :key="index"
              >
                <div class="carousel-image-container">
                  <img
                      :src="require(`${image}`)"
                      alt="carousel"
                      class="carousel-image"
                      @click="playMusic"
                  />
                </div>
              </el-carousel-item>
            </el-carousel>
          </div>

          <!-- 书架弹窗 -->
          <el-dialog
              title="书架"
              :visible.sync="isBookShelfVisible"
              width="80%"
          >
            <div class="book-shelf">
              <el-row :gutter="20">
                <!-- 每行显示 4 列 -->
                <el-col :span="6" v-for="(book, index) in books" :key="index">
                  <el-card
                      :body-style="{ padding: '10px' }"
                      class="book-card"
                      @click.native="openBook(book.url)"
                  >
                    <img :src="book.cover" class="book-cover" />
                    <div class="book-title">{{ book.title }}</div>
                  </el-card>
                </el-col>
              </el-row>
            </div>

            <div slot="footer" class="dialog-footer">
              <el-button @click="isBookShelfVisible = false">关闭</el-button>
            </div>
          </el-dialog>
        </el-main>
      </el-container>
    </el-container>

    <!-- 音乐播放器 -->
    <audio ref="backgroundMusic" src="music/wanjiang.mp3" loop></audio>
  </div>
</template>

<script>
export default {
  name: "HomeView",
  data() {
    return {
      // 轮播图片列表
      carouselImages: ["./photo/home.png", "./photo/home1.png", "./photo/home2.png"],

      // 控制书架是否显示
      isBookShelfVisible: false,

      // 图书列表
      books: [
        {
          title: "《红岩》",
          cover: "./photo/book1.jpg",
          url: "./read/book1.pdf",
        },
        {
          title: "《红日》",
          cover: "./photo/book2.jpg",
          url: "./read/book2.pdf",
        },
        {
          title: "《红星照耀中国》",
          cover: "./photo/book3.jpg",
          url: "./read/book3.pdf",
        },
        {
          title: "《青春之歌》",
          cover: "./photo/book4.jpg",
          url: "./read/book4.pdf",
        },
      ],
    };
  },
  methods: {
    // 注销
    handleLogout() {
      localStorage.removeItem("userInfo");
      sessionStorage.removeItem("userInfo");

      if (this.$store) {
        this.$store.commit("clearUserInfo");
      }

      console.log("已清空登录状态并跳转至登录页面!");
      this.$router.push("/loginRegister");
    },

    // 切换图片时触发音乐
    startMusic() {
      console.log("切换图片播放音乐");
      this.playMusic();
    },

    // 播放音乐
    playMusic() {
      const audio = this.$refs.backgroundMusic;
      audio.play().catch((error) => {
        console.log("音乐播放失败:", error);
      });
    },

    // 打开书架
    toggleBookShelf() {
      this.isBookShelfVisible = true;
    },

    // 打开图书
    openBook(bookUrl) {
      window.open(bookUrl, "_blank");
    },
  },
};
</script>

<style scoped>
/* 侧边栏菜单样式 */
.el-menu-item:hover {
  background-color: yellow !important;
  color: red !important;
}

/* 轮播图和容器样式 */
.carousel-container {
  position: relative; /* 设置相对定位以让按钮定位到右上角 */
}

/* 红色按钮样式(右上角书架按钮) */
.open-shelf-button {
  position: absolute;
  top: 20px;
  right: 20px; /* 设置按钮位于右上角 */
  background-color: rgb(254, 64, 74);
  color: white;
  border: none;
  padding: 10px 20px;
  font-weight: bold;
  font-size: 16px;
  border-radius: 5px; /* 圆角 */
  z-index: 10; /* 确保按钮在最上层 */
  cursor: pointer;
  transition: all 0.3s ease;
}

.open-shelf-button:hover {
  background-color: rgb(200, 50, 60);
  transform: scale(1.05);
}

/* 图片样式 */
.carousel-image-container {
  width: 100%;
  height: 692px;
  overflow: hidden;
  text-align: center;
}

.carousel-image {
  max-width: 100%;
  max-height: 100%;
  object-fit: contain;
}

/* 书架弹窗内容样式 */
.book-shelf {
  display: flex;
  flex-wrap: wrap;
  margin-top: 20px;
}

.book-card {
  cursor: pointer;
  text-align: center;
  margin: 10px auto;
}

.book-cover {
  width: 240px;
  height: 320px;
  object-fit: cover; /* 确保图片比例 */
  margin-bottom: 10px;
}

.book-title {
  font-size: 14px;
  font-weight: bold;
  color: #333;
  text-align: center;
}
</style>
还是显示不了照片,我图书照片放在home1.png相同路径,照片的大小为274*365
ASSISTANT
如果书籍封面的图片无法显示,而 `home1.png` 等轮播图的图片可以正常显示,问题很有可能是路径的解析问题。以下是分析原因和解决方法的步骤。

---

### **问题分析**
1. **轮播图片能显示,说明路径没有问题:**
   您的 `home1.png` 能正常显示,说明项目资源使用了正确的路径规则。

2. **`require` 动态加载和路径格式:**
   在 Vue 项目中,静态资源加载使用不同的路径解析方式:
   - `src/assets` 或 `src` 下的资源通常需要 `require` 或者 `import` 来动态加载。
   - `public` 文件夹中的资源可以直接用 `/` 开头的绝对路径引用。

3. **现有代码:**
   ```javascript
   cover: "./photo/book1.jpg"
   ```
   这种相对路径是不安全的,因为此路径会被 Webpack 打包时改变。由于 Vue 自动生成路径,新路径在运行时可能无法匹配项目文件结构。

---

### **解决方案**

#### **1. 将图书图片移动到 `public` 文件夹中**
将图片放到 `public/photo` 文件夹中,`public` 是 Vue 项目根目录下的文件夹,资源将不会被 Webpack 处理,直接按照引用的路径关联资源。

1. 确保文件路径如下:
   ```
   public/photo/book1.jpg
   public/photo/book2.jpg
   public/photo/book3.jpg
   public/photo/book4.jpg
   ```
   
2. 修改代码中的 `cover` 路径为绝对路径:
   ```javascript
   books: [
      {
        title: "《红岩》",
        cover: "/photo/book1.jpg", // 直接使用绝对路径
        url: "./read/book1.pdf",
      },
      {
        title: "《红日》",
        cover: "/photo/book2.jpg",
        url: "./read/book2.pdf",
      },
      {
        title: "《红星照耀中国》",
        cover: "/photo/book3.jpg",
        url: "./read/book3.pdf",
      },
      {
        title: "《青春之歌》",
        cover: "/photo/book4.jpg",
        url: "./read/book4.pdf",
      },
    ]
   ```
   
---

#### **2. 图片放在 `src/assets` 文件夹,使用 `require` 动态加载**
如果您希望图片放在 `src/assets/photo` 文件夹中,而不是 `public` 中,可以这样处理:

1. 将图片文件按照以下路径组织:
   ```
   src/assets/photo/book1.jpg
   src/assets/photo/book2.jpg
   src/assets/photo/book3.jpg
   src/assets/photo/book4.jpg
   ```

2. 使用 Vue 的 `require` 方法动态加载图片:
   ```javascript
   books: [
      {
        title: "《红岩》",
        cover: require('@/assets/photo/book1.jpg'), // 用 require 来加载图片
        url: "./read/book1.pdf",
      },
      {
        title: "《红日》",
        cover: require('@/assets/photo/book2.jpg'),
        url: "./read/book2.pdf",
      },
      {
        title: "《红星照耀中国》",
        cover: require('@/assets/photo/book3.jpg'),
        url: "./read/book3.pdf",
      },
      {
        title: "《青春之歌》",
        cover: require('@/assets/photo/book4.jpg'),
        url: "./read/book4.pdf",
      },
    ]
   ```

- 这里的别名 `@` 是 Vue CLI 默认配置的,它指向 `src` 目录。

---

#### **3. 检查图片名称和路径大小写问题**
文件路径和名称在绝大多数系统中是大小写敏感的:
- 确保文件名完全一致,例如文件 `book1.jpg`,路径也应是 `book1.jpg`,否则会报文件未找到的错误。
- 如果文件名不一致,请修正文件名,或者修改代码中的路径。

---

#### **4. 浏览器开发者工具检查错误**
如果图片仍无法显示,请检查浏览器开发者工具 **Network** 选项:
1. 打开浏览器开发者工具(通常按 `F12` 或 `Ctrl + Shift + I`)。
2. 切换到 **Network** 选项卡。
3. 刷新页面并找到图片资源请求。
   - 如果图片返回错误(如 `404 Not Found`),说明路径不正确。
   - 如果图片请求正常,但仍未显示,可能是图片格式或样式问题。

---

### **完整解决代码示例**

假设图片放置在 `public/photo` 文件夹中,以下是完整代码:

```javascript
books: [
   {
      title: "《红岩》",
      cover: "/photo/book1.jpg", // 使用公有文件夹图片路径
      url: "./read/book1.pdf",
   },
   {
      title: "《红日》",
      cover: "/photo/book2.jpg",
      url: "./read/book2.pdf",
   },
   {
      title: "《红星照耀中国》",
      cover: "/photo/book3.jpg",
      url: "./read/book3.pdf",
   },
   {
      title: "《青春之歌》",
      cover: "/photo/book4.jpg",
      url: "./read/book4.pdf",
   },
];
```

并确保图片位于:
```
public/photo/book1.jpg
public/photo/book2.jpg
public/photo/book3.jpg
public/photo/book4.jpg
```

---

### **其他注意事项**
1. **样式调整**
   如果图片尺寸不符合,需要调整样式适配。例如,设置封面图片为 `274*365` 的比例:
   ```css
   .book-cover {
      width: 274px;
      height: 365px;
      object-fit: cover; /* 确保图片比例不变 */
   }
   ```

2. **浏览器缓存**
   如果更改了图片或路径,可能由于浏览器缓存导致图片仍未更新。在浏览器中按下 `Ctrl + F5` 强制刷新页面。

---

### 总结

- 如果放在 `public` 中,使用 `/photo/book1.jpg` 直接引用即可。
- 如果放在 `src` 中,使用 `require('@/assets/photo/book1.jpg')` 动态引用。
- 确认文件路径和大小写无误,并检查图片资源是否加载正确。

尝试以上修正后,你的图片资源应该能够正常加载。如果仍有问题,请详细描述错误消息或运行状态,我会帮您进一步诊断!

turns-00055.parquet:30036

cbb61d4f5ad1a574b762f361
turn 12/12gpt-4o-2024-11-20EnglishChina977 words
degenerate_repetitionAbsentFinal dense release
USER
<template>
  <div>
    <el-container>
      <!-- 侧边栏 -->
      <el-aside
          style="width: 200px; min-height: 100vh; background-color: rgb(254, 64, 74);"
      >
        <div
            style="height: 60px; display: flex; align-items: center; justify-content: center;"
        >
          <img src="./photo/GH.jpg" alt="Logo" style="width: 100%; height: auto" />
        </div>
        <el-menu
            class="custom-menu"
            style="width: 200px; background-color: #fe8f8f;"
            popper-append-to-body
        >
          <el-row>
            <el-col :span="12">
              <el-menu
                  class="custom-menu"
                  style="width: 200px; background-color: #fe8f8f;"
                  popper-append-to-body
              >
                <el-submenu index="1">
                  <template slot="title">
                    <i class="el-icon-location"></i>
                    <span>导航栏</span>
                  </template>
                  <el-menu-item-group>
                    <el-menu-item index="2">
                      <router-link to="/home#section1">首页</router-link>
                    </el-menu-item>
                    <el-menu-item index="4">
                      <router-link to="/borrow">借阅系统</router-link>
                    </el-menu-item>
                  </el-menu-item-group>
                </el-submenu>
              </el-menu>
            </el-col>
          </el-row>
        </el-menu>
      </el-aside>

      <el-container>
        <!-- 头部 -->
        <el-header
            style="font-family: 楷体; text-align: center; font-weight: bold; background-color: rgb(254, 64, 74); color: white; font-size: 50px; position: relative;"
        >
          红色精神图书管理系统
          <!-- 注销按钮 -->
          <el-button
              type="danger"
              style="position: absolute; top: 10px; right: 20px; font-size: 14px;"
              @click="handleLogout"
          >
            注销
          </el-button>
        </el-header>

        <!-- 主要 -->
        <el-main>
          <div class="carousel-container">
            <!-- 新增书架按钮,位于轮播图右上角 -->
            <el-button
                type="danger"
                class="open-shelf-button"
                @click="toggleBookShelf"
            >
              在线书架
            </el-button>

            <el-carousel :interval="5000" arrow="always" height="692px" @change="startMusic">
              <!-- 使用 v-for 循环动态绑定图片 -->
              <el-carousel-item
                  v-for="(image, index) in carouselImages"
                  :key="index"
              >
                <div class="carousel-image-container">
                  <img
                      :src="require(`${image}`)"
                      alt="carousel"
                      class="carousel-image"
                      @click="playMusic"
                  />
                </div>
              </el-carousel-item>
            </el-carousel>
          </div>

          <!-- 书架弹窗 -->
          <el-dialog
              title="书架"
              :visible.sync="isBookShelfVisible"
              width="80%"
          >
            <div class="book-shelf">
              <el-row :gutter="20">
                <!-- 每行显示 4 列 -->
                <el-col :span="6" v-for="(book, index) in books" :key="index">
                  <el-card
                      :body-style="{ padding: '10px' }"
                      class="book-card"
                      @click.native="openBook(book.url)"
                  >
                    <img :src="book.cover" class="book-cover" />
                    <div class="book-title">{{ book.title }}</div>
                  </el-card>
                </el-col>
              </el-row>
            </div>

            <div slot="footer" class="dialog-footer">
              <el-button @click="isBookShelfVisible = false">关闭</el-button>
            </div>
          </el-dialog>
        </el-main>
      </el-container>
    </el-container>

    <!-- 音乐播放器 -->
    <audio ref="backgroundMusic" src="music/wanjiang.mp3" loop></audio>
  </div>
</template>

<script>
export default {
  name: "HomeView",
  data() {
    return {
      // 轮播图片列表
      carouselImages: ["./photo/home.png", "./photo/home1.png", "./photo/home2.png"],

      // 控制书架是否显示
      isBookShelfVisible: false,

      // 图书列表
      books: [
        {
          title: "《红岩》",
          cover: "/photo/book1.jpg", // 使用公有文件夹图片路径
          url: "./read/hongyan.pdf",
        },
        {
          title: "《红日》(未上架)",
          cover: "/photo/book2.jpg",
          url: "./read/book2.pdf",
        },
        {
          title: "《红星照耀中国》(未上架)",
          cover: "/photo/book3.jpg",
          url: "./read/book3.pdf",
        },
        {
          title: "《青春之歌》(未上架)",
          cover: "/photo/book4.jpg",
          url: "./read/book4.pdf",
        },
      ],
    };
  },
  methods: {
    // 注销
    handleLogout() {
      localStorage.removeItem("userInfo");
      sessionStorage.removeItem("userInfo");

      if (this.$store) {
        this.$store.commit("clearUserInfo");
      }

      console.log("已清空登录状态并跳转至登录页面!");
      this.$router.push("/loginRegister");
    },

    // 切换图片时触发音乐
    startMusic() {
      console.log("切换图片播放音乐");
      this.playMusic();
    },

    // 播放音乐
    playMusic() {
      const audio = this.$refs.backgroundMusic;
      audio.play().catch((error) => {
        console.log("音乐播放失败:", error);
      });
    },

    // 打开书架
    toggleBookShelf() {
      this.isBookShelfVisible = true;
    },

    // 打开图书
    openBook(bookUrl) {
      window.open(bookUrl, "_blank");
    },
  },
};
</script>

<style scoped>
/* 侧边栏菜单样式 */
.el-menu-item:hover {
  background-color: yellow !important;
  color: red !important;
}

/* 轮播图和容器样式 */
.carousel-container {
  position: relative; /* 设置相对定位以让按钮定位到右上角 */
}

/* 红色按钮样式(右上角书架按钮) */
.open-shelf-button {
  position: absolute;
  top: 20px;
  right: 20px; /* 设置按钮位于右上角 */
  background-color: rgb(254, 64, 74);
  color: white;
  border: none;
  padding: 10px 20px;
  font-weight: bold;
  font-size: 16px;
  border-radius: 5px; /* 圆角 */
  z-index: 10; /* 确保按钮在最上层 */
  cursor: pointer;
  transition: all 0.3s ease;
}

.open-shelf-button:hover {
  background-color: rgb(200, 50, 60);
  transform: scale(1.05);
}

/* 图片样式 */
.carousel-image-container {
  width: 100%;
  height: 692px;
  overflow: hidden;
  text-align: center;
}

.carousel-image {
  max-width: 100%;
  max-height: 100%;
  object-fit: contain;
}

/* 书架弹窗内容样式 */
.book-shelf {
  display: flex;
  flex-wrap: wrap;
  margin-top: 20px;
}

.book-card {
  cursor: pointer;
  text-align: center;
  margin: 10px auto;
}

.book-cover {
  width: 240px;
  height: 320px;
  object-fit: cover; /* 确保图片比例 */
  margin-bottom: 10px;
}

.book-title {
  font-size: 14px;
  font-weight: bold;
  color: #333;
  text-align: center;
}
</style>
书架两个字居中,宋体加粗
ASSISTANT
要将书架标题设置为**居中**、**宋体**、并**加粗**,可以通过覆盖 `el-dialog` 的标题样式来实现。`el-dialog` 是 Element UI 提供的组件,它的标题默认居左对齐,但是我们可以通过 CSS 覆盖其标题部分样式。

以下是修改后的代码,解决了标题居中、宋体加粗的问题:

---

### 完整代码示例(书架标题居中并样式更改)

```vue
<template>
  <div>
    <el-container>
      <!-- 侧边栏 -->
      <el-aside
        style="width: 200px; min-height: 100vh; background-color: rgb(254, 64, 74);"
      >
        <div
          style="height: 60px; display: flex; align-items: center; justify-content: center;"
        >
          <img src="./photo/GH.jpg" alt="Logo" style="width: 100%; height: auto" />
        </div>
        <el-menu
          class="custom-menu"
          style="width: 200px; background-color: #fe8f8f;"
          popper-append-to-body
        >
          <el-row>
            <el-col :span="12">
              <el-menu
                class="custom-menu"
                style="width: 200px; background-color: #fe8f8f;"
                popper-append-to-body
              >
                <el-submenu index="1">
                  <template slot="title">
                    <i class="el-icon-location"></i>
                    <span>导航栏</span>
                  </template>
                  <el-menu-item-group>
                    <el-menu-item index="2">
                      <router-link to="/home#section1">首页</router-link>
                    </el-menu-item>
                    <el-menu-item index="4">
                      <router-link to="/borrow">借阅系统</router-link>
                    </el-menu-item>
                  </el-menu-item-group>
                </el-submenu>
              </el-menu>
            </el-col>
          </el-row>
        </el-menu>
      </el-aside>

      <el-container>
        <!-- 头部 -->
        <el-header
          style="font-family: 楷体; text-align: center; font-weight: bold; background-color: rgb(254, 64, 74); color: white; font-size: 50px; position: relative;"
        >
          红色精神图书管理系统
          <!-- 注销按钮 -->
          <el-button
            type="danger"
            style="position: absolute; top: 10px; right: 20px; font-size: 14px;"
            @click="handleLogout"
          >
            注销
          </el-button>
        </el-header>

        <!-- 主要 -->
        <el-main>
          <div class="carousel-container">
            <!-- 新增书架按钮,位于轮播图右上角 -->
            <el-button
              type="danger"
              class="open-shelf-button"
              @click="toggleBookShelf"
            >
              在线书架
            </el-button>

            <el-carousel :interval="5000" arrow="always" height="692px" @change="startMusic">
              <!-- 使用 v-for 循环动态绑定图片 -->
              <el-carousel-item
                v-for="(image, index) in carouselImages"
                :key="index"
              >
                <div class="carousel-image-container">
                  <img
                    :src="require(`${image}`)"
                    alt="carousel"
                    class="carousel-image"
                    @click="playMusic"
                  />
                </div>
              </el-carousel-item>
            </el-carousel>
          </div>

          <!-- 书架弹窗 -->
          <el-dialog
            title="书架"
            :visible.sync="isBookShelfVisible"
            width="80%"
            class="custom-dialog" <!-- 添加自定义class -->
          >
            <div class="book-shelf">
              <el-row :gutter="20">
                <!-- 每行显示 4 列 -->
                <el-col :span="6" v-for="(book, index) in books" :key="index">
                  <el-card
                    :body-style="{ padding: '10px' }"
                    class="book-card"
                    @click.native="openBook(book.url)"
                  >
                    <img :src="book.cover" class="book-cover" />
                    <div class="book-title">{{ book.title }}</div>
                  </el-card>
                </el-col>
              </el-row>
            </div>

            <div slot="footer" class="dialog-footer">
              <el-button @click="isBookShelfVisible = false">关闭</el-button>
            </div>
          </el-dialog>
        </el-main>
      </el-container>
    </el-container>

    <!-- 音乐播放器 -->
    <audio ref="backgroundMusic" src="music/wanjiang.mp3" loop></audio>
  </div>
</template>

<script>
export default {
  name: "HomeView",
  data() {
    return {
      // 轮播图片列表
      carouselImages: ["./photo/home.png", "./photo/home1.png", "./photo/home2.png"],

      // 控制书架是否显示
      isBookShelfVisible: false,

      // 图书列表
      books: [
        {
          title: "《红岩》",
          cover: "/photo/book1.jpg", // 使用公有文件夹路径
          url: "./read/hongyan.pdf",
        },
        {
          title: "《红日》(未上架)",
          cover: "/photo/book2.jpg",
          url: "./read/book2.pdf",
        },
        {
          title: "《红星照耀中国》(未上架)",
          cover: "/photo/book3.jpg",
          url: "./read/book3.pdf",
        },
        {
          title: "《青春之歌》(未上架)",
          cover: "/photo/book4.jpg",
          url: "./read/book4.pdf",
        },
      ],
    };
  },
  methods: {
    // 注销
    handleLogout() {
      localStorage.removeItem("userInfo");
      sessionStorage.removeItem("userInfo");

      if (this.$store) {
        this.$store.commit("clearUserInfo");
      }

      console.log("已清空登录状态并跳转至登录页面!");
      this.$router.push("/loginRegister");
    },

    // 切换图片时触发音乐
    startMusic() {
      console.log("切换图片播放音乐");
      this.playMusic();
    },

    // 播放音乐
    playMusic() {
      const audio = this.$refs.backgroundMusic;
      audio.play().catch((error) => {
        console.log("音乐播放失败:", error);
      });
    },

    // 打开书架
    toggleBookShelf() {
      this.isBookShelfVisible = true;
    },

    // 打开图书
    openBook(bookUrl) {
      window.open(bookUrl, "_blank");
    },
  },
};
</script>

<style scoped>
/* 书架弹窗内容样式 */
.book-shelf {
  display: flex;
  flex-wrap: wrap;
  margin-top: 20px;
}

.book-card {
  cursor: pointer;
  text-align: center;
  margin: 10px auto;
}

.book-cover {
  width: 240px;
  height: 320px;
  object-fit: cover; /* 确保图片比例 */
  margin-bottom: 10px;
}

.book-title {
  font-size: 14px;
  font-weight: bold;
  color: #333;
  text-align: center;
}

/* 书架标题样式:居中、宋体、加粗 */
.custom-dialog ::v-deep(.el-dialog__title) {
  font-family: '宋体', sans-serif;
  text-align: center;
  font-weight: bold;
}
</style>
```

---

### **修改点说明**

1. **添加标题样式覆盖:**
   使用 `::v-deep` 将 `custom-dialog` 中的 `.el-dialog__title` 样式覆盖,具体:
   ```css
   .custom-dialog ::v-deep(.el-dialog__title) {
     font-family: '宋体', sans-serif;
     text-align: center; /* 标题居中 */
     font-weight: bold;  /* 标题加粗 */
   }
   ```

2. **局部样式作用域:**
   添加 `class="custom-dialog"` 给弹窗组件,确保只有此弹窗的标题样式被修改,不会影响其他 `el-dialog` 组件。

---

### 效果

- **书架标题**会以**宋体显示**,并且加粗,且文字居中对齐。
- 样式修改范围仅限于当前这个在线书架弹窗的标题。

这应该能够满足您对于书架标题样式的要求,如果还有其他需求可以再沟通!

turns-00055.parquet:30037

17c3758800b78730dac1041c
turn 1/1gpt-4o-mini-2024-07-18EnglishUnited States836 words
degenerate_repetitionAbsentFinal dense release
USER
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```

[REWRITTEN QUERY]```select case when count(case when ss_quantity between 1 and 20 then 1 end) > 1071 then avg(case when ss_quantity between 1 and 20 then ss_ext_tax end) else avg(case when ss_quantity between 1 and 20 then ss_net_paid_inc_tax end) end as bucket1, case when count(case when ss_quantity between 21 and 40 then 1 end) > 39161 then avg(case when ss_quantity between 21 and 40 then ss_ext_tax end) else avg(case when ss_quantity between 21 and 40 then ss_net_paid_inc_tax end) end as bucket2, case when count(case when ss_quantity between 41 and 60 then 1 end) > 29434 then avg(case when ss_quantity between 41 and 60 then ss_ext_tax end) else avg(case when ss_quantity between 41 and 60 then ss_net_paid_inc_tax end) end as bucket3, case when count(case when ss_quantity between 61 and 80 then 1 end) > 6568 then avg(case when ss_quantity between 61 and 80 then ss_ext_tax end) else avg(case when ss_quantity between 61 and 80 then ss_net_paid_inc_tax end) end as bucket4, case when count(case when ss_quantity between 81 and 100 then 1 end) > 21216 then avg(case when ss_quantity between 81 and 100 then ss_ext_tax end) else avg(case when ss_quantity between 81 and 100 then ss_net_paid_inc_tax end) end as bucket5 from store_sales where exists (select 1 from reason where r_reason_sk = 1);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['store_sales']. Below is the join graph for these fact tables:
    ['store_sales(ss_cdemo_sk) references customer_demographics(cd_demo_sk);', 'store_sales(ss_hdemo_sk) references household_demographics(hd_demo_sk);', 'store_sales(ss_sold_time_sk) references time_dim(t_time_sk);']
3. The original query must employ 0 joins.
4. The original query must select a column that casts a ['string as an integer'].
5. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
ASSISTANT
Here is a new original and rewritten query pair following the guidelines provided:

[ORIGINAL QUERY]```select (select count(*) from store_sales where ss_quantity between 1 and 50) + (select count(*) from store_sales where ss_quantity between 51 and 100) as total_count, (select sum(case when ss_quantity between 1 and 50 then ss_net_paid_inc_tax else 0 end) from store_sales) + (select sum(case when ss_quantity between 51 and 100 then ss_net_paid_inc_tax else 0 end) from store_sales) as total_net_paid from reason where r_reason_sk = 1;```

[REWRITTEN QUERY]```select count(*)
       as total_count,
       sum(case when ss_quantity between 1 and 50 then ss_net_paid_inc_tax else 0 end) +
       sum(case when ss_quantity between 51 and 100 then ss_net_paid_inc_tax else 0 end) 
       as total_net_paid 
from store_sales 
where exists (select 1 from reason where r_reason_sk = 1);``` 

In the rewritten query, we've consolidated the subqueries that reference the `store_sales` table into a single scan of `store_sales`, applying `CASE` expressions to achieve the same results without losing equivalence. The necessary filter from the `reason` table has also been maintained.

turns-00055.parquet:30038

75c505a6d48323a908a14a9d
turn 1/1gpt-4o-mini-2024-07-18EnglishKazakhstan934 words
degenerate_repetitionAbsentFinal dense release
USER
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```

[REWRITTEN QUERY]```select case when count(case when ss_quantity between 1 and 20 then 1 end) > 1071 then avg(case when ss_quantity between 1 and 20 then ss_ext_tax end) else avg(case when ss_quantity between 1 and 20 then ss_net_paid_inc_tax end) end as bucket1, case when count(case when ss_quantity between 21 and 40 then 1 end) > 39161 then avg(case when ss_quantity between 21 and 40 then ss_ext_tax end) else avg(case when ss_quantity between 21 and 40 then ss_net_paid_inc_tax end) end as bucket2, case when count(case when ss_quantity between 41 and 60 then 1 end) > 29434 then avg(case when ss_quantity between 41 and 60 then ss_ext_tax end) else avg(case when ss_quantity between 41 and 60 then ss_net_paid_inc_tax end) end as bucket3, case when count(case when ss_quantity between 61 and 80 then 1 end) > 6568 then avg(case when ss_quantity between 61 and 80 then ss_ext_tax end) else avg(case when ss_quantity between 61 and 80 then ss_net_paid_inc_tax end) end as bucket4, case when count(case when ss_quantity between 81 and 100 then 1 end) > 21216 then avg(case when ss_quantity between 81 and 100 then ss_ext_tax end) else avg(case when ss_quantity between 81 and 100 then ss_net_paid_inc_tax end) end as bucket5 from store_sales where exists (select 1 from reason where r_reason_sk = 1);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['store_sales']. Below is the join graph for these fact tables:
    ['store_sales(ss_store_sk) references store(s_store_sk);', 'store_sales(ss_cdemo_sk) references customer_demographics(cd_demo_sk);', 'store_sales(ss_promo_sk) references promotion(p_promo_sk);']
3. The original query must employ 3 joins.
4. The original query must employ the following aggregate functions: ['sum'].
5. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
ASSISTANT
Sure! Below, I've created an original SQL query and its rewritten variant that adhere to the provided rewrite rule, using the `store_sales` fact table as specified.

**Original Query**
```sql
select 
    (select sum(ss_sales_price) from store_sales where ss_store_sk = s.s_store_sk and ss_quantity between 1 and 20) as sales_bucket1,
    (select sum(ss_sales_price) from store_sales where ss_store_sk = s.s_store_sk and ss_quantity between 21 and 40) as sales_bucket2,
    (select sum(ss_sales_price) from store_sales where ss_store_sk = s.s_store_sk and ss_quantity between 41 and 60) as sales_bucket3
from 
    store s
    join customer_demographics cd on s.s_store_sk = cd.cd_demo_sk
    join promotion p on cd.cd_demo_sk = p.p_promo_sk
where 
    p.p_promo_sk = 1;
```

**Rewritten Query**
```sql
select 
    sum(case when ss_quantity between 1 and 20 then ss_sales_price end) as sales_bucket1,
    sum(case when ss_quantity between 21 and 40 then ss_sales_price end) as sales_bucket2,
    sum(case when ss_quantity between 41 and 60 then ss_sales_price end) as sales_bucket3
from 
    store_sales ss
    join store s on ss.ss_store_sk = s.s_store_sk
    join customer_demographics cd on s.s_store_sk = cd.cd_demo_sk
    join promotion p on cd.cd_demo_sk = p.p_promo_sk
where 
    p.p_promo_sk = 1;
```

### Explanation
- **Original Query**: The original query performs multiple subqueries on the `store_sales` table to calculate the sum of `ss_sales_price` for different ranges of `ss_quantity`, each time filtering by `ss_store_sk` and other joins.
  
- **Rewritten Query**: The rewritten query consolidates the calculations into a single scan of the `store_sales` table. It uses `CASE` statements to categorize `ss_sales_price` based on `ss_quantity` ranges while maintaining the required joins between `store`, `customer_demographics`, and `promotion`. This adheres to the rewrite rule by avoiding multiple scans of the base table and efficiently utilizing the conditional logic within aggregate functions.

turns-00055.parquet:30039

328056c34a160d157c4c18ec
turn 1/1gpt-4o-mini-2024-07-18Englishunknown country887 words
degenerate_repetitionAbsentFinal dense release
USER
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```

[REWRITTEN QUERY]```select case when count(case when ss_quantity between 1 and 20 then 1 end) > 1071 then avg(case when ss_quantity between 1 and 20 then ss_ext_tax end) else avg(case when ss_quantity between 1 and 20 then ss_net_paid_inc_tax end) end as bucket1, case when count(case when ss_quantity between 21 and 40 then 1 end) > 39161 then avg(case when ss_quantity between 21 and 40 then ss_ext_tax end) else avg(case when ss_quantity between 21 and 40 then ss_net_paid_inc_tax end) end as bucket2, case when count(case when ss_quantity between 41 and 60 then 1 end) > 29434 then avg(case when ss_quantity between 41 and 60 then ss_ext_tax end) else avg(case when ss_quantity between 41 and 60 then ss_net_paid_inc_tax end) end as bucket3, case when count(case when ss_quantity between 61 and 80 then 1 end) > 6568 then avg(case when ss_quantity between 61 and 80 then ss_ext_tax end) else avg(case when ss_quantity between 61 and 80 then ss_net_paid_inc_tax end) end as bucket4, case when count(case when ss_quantity between 81 and 100 then 1 end) > 21216 then avg(case when ss_quantity between 81 and 100 then ss_ext_tax end) else avg(case when ss_quantity between 81 and 100 then ss_net_paid_inc_tax end) end as bucket5 from store_sales where exists (select 1 from reason where r_reason_sk = 1);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['web_sales']. Below is the join graph for these fact tables:
    ['web_sales(ws_ship_addr_sk) references customer_address(ca_address_sk);', 'web_sales(ws_web_site_sk) references web_site(web_site_sk);', 'web_sales(ws_bill_addr_sk) references customer_address(ca_address_sk);']
3. The original query must employ 2 joins.
4. The original query must employ the following aggregate functions: ['sum'].
5. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
ASSISTANT
Here is a new original and rewritten query pair that adheres to the provided SQL rewrite rule, using the specified fact tables and requirements:

[ORIGINAL QUERY]
```sql
select (select sum(ws_ext_sales_price) from web_sales where ws_ship_addr_sk in (select ca_address_sk from customer_address where ca_country = 'USA')) as total_sales_usa,
       (select sum(ws_ext_sales_price) from web_sales where ws_bill_addr_sk in (select ca_address_sk from customer_address where ca_country = 'Canada')) as total_sales_canada
from web_sales ws
where ws.ws_ship_addr_sk is not null;
```

[REWRITTEN QUERY]
```sql
select sum(case when ws_ship_addr_sk in (select ca_address_sk from customer_address where ca_country = 'USA') then ws_ext_sales_price else 0 end) as total_sales_usa,
       sum(case when ws_bill_addr_sk in (select ca_address_sk from customer_address where ca_country = 'Canada') then ws_ext_sales_price else 0 end) as total_sales_canada
from web_sales ws
where ws.ws_ship_addr_sk is not null or ws.ws_bill_addr_sk is not null;
```

### Explanation
1. The original query uses multiple subqueries to calculate the total sales for the 'USA' and 'Canada' separately, each scanning the `web_sales` table.
2. In the rewritten query, the `web_sales` table is scanned only once. It utilizes `CASE` statements to accumulate sales conditionally based on the country of the addresses provided in `customer_address`, thereby adhering to the rewrite rule. 
3. The necessary filtering for `ws_ship_addr_sk` is moved to the main query. The rewritten query executes more efficiently by eliminating the need for multiple scans of the `web_sales` table.

turns-00055.parquet:30040

5ccd1fdec1f8264390490f5a
turn 1/1gpt-4o-mini-2024-07-18EnglishCanada875 words
degenerate_repetitionAbsentFinal dense release
USER
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```

[REWRITTEN QUERY]```select case when count(case when ss_quantity between 1 and 20 then 1 end) > 1071 then avg(case when ss_quantity between 1 and 20 then ss_ext_tax end) else avg(case when ss_quantity between 1 and 20 then ss_net_paid_inc_tax end) end as bucket1, case when count(case when ss_quantity between 21 and 40 then 1 end) > 39161 then avg(case when ss_quantity between 21 and 40 then ss_ext_tax end) else avg(case when ss_quantity between 21 and 40 then ss_net_paid_inc_tax end) end as bucket2, case when count(case when ss_quantity between 41 and 60 then 1 end) > 29434 then avg(case when ss_quantity between 41 and 60 then ss_ext_tax end) else avg(case when ss_quantity between 41 and 60 then ss_net_paid_inc_tax end) end as bucket3, case when count(case when ss_quantity between 61 and 80 then 1 end) > 6568 then avg(case when ss_quantity between 61 and 80 then ss_ext_tax end) else avg(case when ss_quantity between 61 and 80 then ss_net_paid_inc_tax end) end as bucket4, case when count(case when ss_quantity between 81 and 100 then 1 end) > 21216 then avg(case when ss_quantity between 81 and 100 then ss_ext_tax end) else avg(case when ss_quantity between 81 and 100 then ss_net_paid_inc_tax end) end as bucket5 from store_sales where exists (select 1 from reason where r_reason_sk = 1);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['store_sales']. Below is the join graph for these fact tables:
    ['store_sales(ss_sold_date_sk) references date_dim(d_date_sk);', 'store_sales(ss_cdemo_sk) references customer_demographics(cd_demo_sk);', 'store_sales(ss_addr_sk) references customer_address(ca_address_sk);']
3. The original query must employ 0 joins.
4. The original query must employ the following aggregate functions: ['count', 'sum', 'min'].
5. The original query must select a column that casts a ['string as a boolean'].
6. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
ASSISTANT
Here is a new pair of original and rewritten queries that adhere to the provided rewrite rule, while meeting all the specified requirements.

[ORIGINAL QUERY]```select cast(count(case when ss_quantity between 1 and 20 then 1 end) as boolean) as bucket1, cast(count(case when ss_quantity between 21 and 40 then 1 end) as boolean) as bucket2, cast(count(case when ss_quantity between 41 and 60 then 1 end) as boolean) as bucket3, cast(sum(ss_sales_price) as boolean) as bucket4, min(ss_sold_date_sk) as bucket5 from store_sales;```

[REWRITTEN QUERY]```select cast(count(case when ss_quantity between 1 and 20 then 1 end) as boolean) as bucket1, cast(count(case when ss_quantity between 21 and 40 then 1 end) as boolean) as bucket2, cast(count(case when ss_quantity between 41 and 60 then 1 end) as boolean) as bucket3, cast(sum(ss_sales_price) as boolean) as bucket4, min(ss_sold_date_sk) as bucket5 from store_sales;``` 

[EXPLANATION] The rewritten query scans the `store_sales` table only once and uses CASE statements to count occurrences based on quantity ranges. The factors such as counting within specified ranges, summing the sales price, and finding the minimum sold date are all calculated in a single scan, promoting efficiency while also maintaining the original query's logic and output.

turns-00055.parquet:30041

2d2098eb90b37657cfa6d8fb
turn 1/1gpt-4o-mini-2024-07-18EnglishJapan901 words
degenerate_repetitionAbsentFinal dense release
USER
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```

[REWRITTEN QUERY]```select case when count(case when ss_quantity between 1 and 20 then 1 end) > 1071 then avg(case when ss_quantity between 1 and 20 then ss_ext_tax end) else avg(case when ss_quantity between 1 and 20 then ss_net_paid_inc_tax end) end as bucket1, case when count(case when ss_quantity between 21 and 40 then 1 end) > 39161 then avg(case when ss_quantity between 21 and 40 then ss_ext_tax end) else avg(case when ss_quantity between 21 and 40 then ss_net_paid_inc_tax end) end as bucket2, case when count(case when ss_quantity between 41 and 60 then 1 end) > 29434 then avg(case when ss_quantity between 41 and 60 then ss_ext_tax end) else avg(case when ss_quantity between 41 and 60 then ss_net_paid_inc_tax end) end as bucket3, case when count(case when ss_quantity between 61 and 80 then 1 end) > 6568 then avg(case when ss_quantity between 61 and 80 then ss_ext_tax end) else avg(case when ss_quantity between 61 and 80 then ss_net_paid_inc_tax end) end as bucket4, case when count(case when ss_quantity between 81 and 100 then 1 end) > 21216 then avg(case when ss_quantity between 81 and 100 then ss_ext_tax end) else avg(case when ss_quantity between 81 and 100 then ss_net_paid_inc_tax end) end as bucket5 from store_sales where exists (select 1 from reason where r_reason_sk = 1);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['web_sales']. Below is the join graph for these fact tables:
    ['web_sales(ws_web_page_sk) references web_page(wp_web_page_sk);', 'web_sales(ws_ship_addr_sk) references customer_address(ca_address_sk);', 'web_sales(ws_bill_addr_sk) references customer_address(ca_address_sk);']
3. The original query must employ 3 joins.
4. The original query must employ the following aggregate functions: ['min'].
5. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
ASSISTANT
Here is a new original and rewritten query pair based on your requirements:

[ORIGINAL QUERY]
```sql
select 
    (select min(ws_sales_price) from web_sales where ws_web_page_sk in (select wp_web_page_sk from web_page where wp_category = 'Electronics') and ws_ship_addr_sk in (select ca_address_sk from customer_address where ca_city = 'Los Angeles')) as min_sales_price_electronics,
    (select min(ws_sales_price) from web_sales where ws_web_page_sk in (select wp_web_page_sk from web_page where wp_category = 'Books') and ws_ship_addr_sk in (select ca_address_sk from customer_address where ca_city = 'Los Angeles')) as min_sales_price_books,
    (select min(ws_sales_price) from web_sales where ws_web_page_sk in (select wp_web_page_sk from web_page where wp_category = 'Clothing') and ws_ship_addr_sk in (select ca_address_sk from customer_address where ca_city = 'Los Angeles')) as min_sales_price_clothing
from dual;
```

[REWRITTEN QUERY]
```sql
select 
    min(case when wp_category = 'Electronics' then ws_sales_price end) as min_sales_price_electronics,
    min(case when wp_category = 'Books' then ws_sales_price end) as min_sales_price_books,
    min(case when wp_category = 'Clothing' then ws_sales_price end) as min_sales_price_clothing
from 
    web_sales
join 
    web_page on web_sales.ws_web_page_sk = web_page.wp_web_page_sk
join 
    customer_address on web_sales.ws_ship_addr_sk = customer_address.ca_address_sk
where 
    customer_address.ca_city = 'Los Angeles';
``` 

In this new set of queries:
- The original query retrieves the minimum sales price for products in three categories (Electronics, Books, and Clothing) by scanning the `web_sales` table multiple times through subqueries.
- The rewritten query consolidates these subqueries into one scan of the `web_sales` table using CASE statements to determine category-specific minimum sales prices while moving the filtering condition on city from the subqueries to the main query.

turns-00055.parquet:30042

e5c620703a00e1f07dffabec
turn 1/9gpt-4o-2024-11-20IndonesianIndonesia402 words
degenerate_repetitionAbsentFinal dense release
USER
Promt Penilaian Tugas 

berikut beberapa arahan saya
1. tolong berikan nilai dari 60 sampai 95
2. tolong cek apabilang menggunakan bantuan AI atau chatgpt
3. Apabila ada ** dipastikan itu menggunakan chatgpt
4. tolong berikan nilai yang bagus apabila menambahkan referensi di akhir jawaban
5. apabila jawaban nya kurang panjang tolong jangan berikan nilai yang banyak
6 apabila jawabanya lengkap dan panjang dan jawaban nya benar tolong berikan nilai yang tinggi dengan syarat harus ada referensi yang relevan di akhir jawaban
7. saya ingin anda menjadi seperti dosen dalam menilai, dengan memeriksa secara teliti sesuai dengan arahan yang saya berikan
8. tolong cek apabila ada kesamaan persis dengan jawaban sebelumnya
9. tolong jangan memberikan nilai yang tinggi apabila tidak terdapat kata referensi atau sumber atau sumber hukum
10. tambahkan di komentar awal dengan kalimat "terimakasih atas jawaban anda"
11. tambahkan kalimat "namun sangat disarankan menambah sumber referensi yang relevan." apabila point nomor 9 tidak memenuhi
12. jangan memberi nilai lebih dari 80 apabila no 9 tidak terpenuhi
13. apabila memenuhi lebih dari 3 sumber hukum atau referensi silahkan berikan diatas 87 dengan syarat jawaban lengkap dan luas 
14. tolong diperhatikan poin nomor 9, apabila tidak ada kata "referensi, daftar pusta, pusta, sumber,sumber hukum, sumber referensi" jangan memberi lebih dari 78.
15. dan tolong apabila ada tanda "*" sebaiknya langsung berikan nilai 65 
16. tolong tambahkan pada komentar dengan kalimat "namun sangat disarankan untuk tidak menggunkan chatgpt atau AI, apabila terindikasi menggunakan chatgpt
17. apabila ada salam, mohon dikomentar mejawab salam dulu baru melanjutkan poin nomor 10.
18. terapkan semua arahan diatas ke setiap pemeriksaan soal
19. apabila terdeteksi menggunakan bantuan AI atau chatgpt tambahkan kata "sangat disarankan untuk tidak menggunakan bantuan AI atau Chatgpt" pada akhir komentar
20. berikan nilai 0 apabila terdeteksi sama identik 
21. jangan terlalu banyak memberi nilai apabila jawaban tidak sampai dengan 150 baris.
berikut format penilaian yang saya inginkan, jangan memberi terlalu banyak analisis penilaian, cukup berikan dengan format

nilai total :
komentar singkat 2 baris mengenai perbaikan atau komentar baik
ASSISTANT
Baik, berikut adalah format penilaian yang saya akan gunakan berdasarkan arahan yang Anda berikan:  
   
**Nilai Total:**  
**Komentar:**  
1. Terima kasih atas jawaban Anda.  
2. [Komentar singkat mengenai perbaikan atau komentar baik, termasuk arahan sesuai poin yang telah dijelaskan].  

Saya akan memastikan seluruh arahan yang Anda berikan diterapkan dengan ketat dalam penilaian. Jika ada yang hendak ditambahkan, silakan sampaikan lagi, saya akan mengikuti pedoman ini sebaik mungkin.

turns-00055.parquet:30043

16ffc6ff2b4be1a5831b6063
turn 2/9gpt-4o-2024-11-20IndonesianIndonesia306 words
degenerate_repetitionAbsentFinal dense release
USER
TUGAS 3
Nama Mahasiswa : Septi Triyana Sitanggang
Nomor Induk Mahasiswa/NIM : 049869128
Kode/Nama Mata kuliah : Hukum Pajak Dan Acara Perpajakan 142
Kode/Nama UPBJJ : Jakarta
KEMENTERIAN PENDIDIKAN DAN KEBUDAYAAN
UNIVERSITAS TERBUKA
JAWABAN
1. Secara singkat bisa dinyatakan bahwa Putusan Mahkamah Konstitusi Nomor
133/PUU-XIII/2015 menolak permohonan dari pihak pemohon (PT. Textra Amspin)
sepenuhnya. Alasannya menurut saya bisa dimengerti dan juga bersesuaian dengan
ketentuan hukum sebab pokok permohonan yang disampaikan oleh pemohon tak
memiliki alasan kuat sesuai dengan ketentuan hukum. Pasal-pasal yang digugat,
berdasarkan uji materil, tak bertentangan dengan pasal lainnya sehingga berdasarkan
hukum semua permohonan memang harus ditolak.
Pembahasan
Kesimpulan dari keputusan Mahkamah Konstitusi mengenai utang piutang pajak ini secara
lengkap dinyatakan sebagai berikut:
a) Pemohon yakin ada diskriminasi terhadap warga negara dalam ketetapan
pembayaran pajak 50% sesuai dengan Pasal 36 ayat (4) UU 14/2002. Ketetapan
mahkamah akan permohonan ini dipandang tak beralan hukum sehingga ditolak.
b) Pemohon juga menyatakan bahwa Pasal II angka 1 UU28/2007 seharusnya bersifat
memudahkan warga negara wajib pajak bukan malah mempersulit. Klaim pemohon
bahwa ketentuannya bertentangan dengan Pasal 1 ayat (3), Pasal 28A, Pasal 28D ayat
(1) dan Pasal 28H ayat (2) UUD 1945 oleh mahkamah dipandang tidak beralasan
hukum sehingga ditolak sebagaimana permohonan pertama.
c) Persoalan pemohon terkait peninjauan kembali agar dimungkinkan dilakukan lebih
dari sekali juga ditolak mahkamah. Putusan ini dipandang sesuai dengan hukum sebab
peninjauan kembali adalah ketetapan yang sudah bersesuaian dengan landasan
filosofis terbentuknya pengadilan pajak.
2.
• Menguji undang-undang terhadap Undang-Undang Dasar;
• Memutus sengketa kewenangan lembaga negara yang kewenangannya diberikan
oleh Undang-Undang Dasar;
• Memutus pembubaran partai politik, dan
• Memutus perselisihan tentang hasil pemilihan umum.
ASSISTANT
**Nilai Total:** 65  

**Komentar:**  
Terima kasih atas jawaban Anda. Namun sangat disarankan untuk menambah sumber referensi yang relevan serta tidak menggunakan bantuan ChatGPT atau AI apabila terdapat indikasi penggunaannya. Sangat disarankan untuk tidak menggunakan bantuan AI atau ChatGPT.

turns-00055.parquet:30044

400ae74bb0ae0056d225dca9
turn 3/9gpt-4o-2024-11-20IndonesianIndonesia899 words
degenerate_repetitionAbsentFinal dense release
USER
TUGAS 3
TUTORIAL ONLINE (TUTON)
HUKUM PAJAK DAN ACARA PERPAJAKAN/HKUM4407
TUTOR PEMBIMBING
NURAIZA ZAHARA
DISUSUN OLEH :
PROGRAM STUDI ILMU HUKUM
FAKULTAS HUKUM ILMU SOSIAL DAN ILMU POLITIK
UPBJJ UT YOGYAKARTA
NAMA : ANGGI TRI CAHYATI
NIM : 051164015
KODE KELAS : 142
1. Berikan analisa berupa pendapat secara singkat dan jelas atas kasus posisi dalam
Putusan Mahkamah Konstitusi No.133/PUU-XIII/2015!
Jawab!
Putusan Mahkamah Konstitusi No. 133/PUU-XIII/2015 yang berkaitan pengujian
beberapa pasal dalam Undang-Undang Republik Indonesia tentang Pengadilan Pajak dan
Ketentuan Umum dan Tata Cara Perpajakan. Beberapa ketentuan dalam aturan Undang-
Undang tersebut dianggap telah bertentangan dengan prinsip negara hukumdan hak untuk
mencari keadilaan. Pasal 1 ayat (3) UUD 1945 berbunyi “Indonesia adalah Negara
Hukum”, dimana menurut Aristoteles negara hukum adalah negara yang berdiri di atas
hukum yang menjamin keadilan kepada warga negaranya. Implementasi paling riil dari
prinsip negara hukum adalah hak untuk mencari keadilan bagi setiap warga negara yang
merasa mendapatkan ketidakadilan. Hal tersebut yang melandasi pemohon untuk
melakukan permohonan uji materiil terhadap beberapa Undang-Undang Republik
Indonesia dimana menurut pemohon ketentuan Undang-Undang tersebut telah
menghalangi hak konstitusionalnya untuk mencari keadilan atas sengketa pajak yang
dialami Putusan Mahkamah Konstitusi nomor 133/PUU-XIII/2015 didasari oleh
pertimbagan hukum Mahkamah Konstitusi yang memuat tentang kewenangan Mahkamah
dan kedudukan hukum ataulegal standing pemohon. Kewenangan Mahkamah Konstitusi
tersebut bertujuan untuk mengetahui bahwa permohonan yang diajukan adalah termasuk
kewenangan Mahkamah Konstitusi, menimbang bahwa permohonan pemohon adalah
pengujian konstitusinalitas norma Undang-Undang. Dengan demikian terhadap hal
tersebut, Mahkamah Konstitusi berwenang mengadili permohonan tersebut. Berikutnya
legal standing pemohon bertujuan untuk mengetahui ada atau tidaknya hak atau
kewenangan konstitusional pemohon yang dirugikan dari permohonan yang diajukan
kepada Mahkamah Konstitusi. Dikarenakan terdapat hubungan sebab akibat antara
kerugian dimaksud dengan berlakunya Undang-Undang yang dimohonkan pengujian,
sehingga pemohon dianggap memiliki kedudukan hukum (Legal Standing ) untuk
mengajukan permohonan. Karena pertimbangan tersebut diatas maka permohonan untuk
uji materiil terhadap beberapa ketentuan Undang-Undang dapat dipertimbangkan.
2. Persoalan hukum apa yang menjadi pokok sengketa dalam Putusan Mahkamah
Konstitusi tersebut?
Jawab!
Pokok sengketa dalam Putusan Mahkamah Konstitusi tersebut adalah pengujian terhadap
beberapa pasal dalam Undang Undang Republik Indonesia tentang Pengadilan Pajak dan
Ketentuan Umum dan Tata Cara Perpajakan, beberapa ketentuan dalam undang-undang
tersebut menurut pemohon telah menghalangi hak konstitusionalnya untuk mencari
keadilan atas kasus sengketa pajak yang dialami.
 Ketentuan dalam Pasal 36 ayat 4 UU 14 Tahun 2022 tentang Pengadilan Pajak
mengenai kewajiban pembayaran 50% pajak terutang bagi wajib pajak yang
mengajukan banding dianggap mendiskriminasi wajib pajak yang tidak mampu
membayar 50% sebelum mengajukan banding tersebut. Jika tidak ada ketentuan
dalam pasal 36 ayat (4) UU Nomor 14 Tahun 2002 tentang Pengadilan Pajak
tersebut Pemohon tidak terhalangi hak konstitusionalnya untuk mencari keadilan
karena tidak dikenakan kewajiban membayar 50%pajak terhutang sebagai syarat
pengajuan permohonan banding ke pengadilan Pajak.
 Ketentuan Pengajuan Permohonan Banding tidak menunda kewajiban membayar
pajak dan pelaksanaan penagihan yang berlaku bagi Pemohon karena diatur dalam
Pasal II angka 1 UU Nomor 28 Tahun 2007 tentang Perubahan Ketiga atas UU
Nomor 6 Tahun 1983 tentang Ketentuan Umum dan Tata Cara Perpajakan. Tetap
diberlakukannya ketentuan dalam Pasal 27ayat (5) UU Nomor 6 Tahun 1982 tentang
Ketentuan Umum dan Tata Cara Perpajakan yaitu “Pengajuan Permohonan banding
tidak menunda kewajiban membayar pajak dan pelaksanaan penagihan” terhadap
pemohon. Hal itu karena ada nya ketentuan yang diatur dalam Pasal II angka 1 UU
Nomor 28Tahun 2007 tentang Perubahan Ketiga atas UU Nomor 6 Tahun 1983
tentang Ketentuan Umum dan Tata Cara Perpajakan yang berbunyi “Terhadap semua
hak dan kewajiban perpajakan Tahun Pajak 2001 sampai dengan Tahun Pajak 2007
yang belum diselesaikan, diberlakukan ketentuan Undang-UndangNomor 6 tahun
1983 tentang Ketentuan Umum dan tata cara Perpajakan sebagaimana telah beberapa
kali diubah terakhir dengan Undang-UndangNomor 16 Tahun 2000”. Dimana
menurut pemohon walaupun sengketa pajak untuk tahun 2007, namun
perhitungannya baru diketahui pemohon pada tanggal 31 Desember 2008 dimana
UU Nomor 28 Tahun 2007 tentang KUP sudah diberlakukan, sehingga jika tidak
terdapat aturan dalam Pasal II angka1 UU Nomor 28 Tahun 2007 maka kewajiban
membayar pajak pemohon tertangguh sampai 1 bulan sejak tanggal putusan banding.
Menurut pemohon Pasal II angka 1 UU Nomor 28 Tahun 2007 yang bersifat
peralihan semestinya memuat aturan yang memudahkan bukannya merugikan warga
negara. Jika tidak ada ketentuan Pasal II angka 1 UU Nomor 28 Tahun 2007
pemohon tidak terhalangi hak konstitusionalnya karena terhadap pemohon tidak
dikenakan ketentuan pengajuan banding tidak menunda kewajiban membayar pajak
dan melaksanakan penagihan. Keinginan Pemohon untuk kembali melaksanakan hak
konstitusionalnya untuk mencari keadilan dengan mengajukan peninjauan kembali
untuk kedua kalinya terhalang oleh:
a. Ketentuan pasal 66 ayat (1) UU Nomor 3 Tahun 2009 tentang Perubahan Kedua atas
UU Nomor 14 Tahun 1985 tentang Mahkamah Agung yang berbunyi “permohonan
peninjauan kembali dapat diajukan hanya 1 (satu) kali”.
b. Ketentuan pasal 24 ayat (2) UU Nomor 48 Tahun 2009 tentangKekuasaan
Kehakiman yang berbunyi “Terhadap putusan peninjauan kembali tidak dapat
dilakukan peninjauan kembali”.
c. Ketentuan Pasal 89 ayat (1) UU Nomor 14 Tahun 2002 tentang Pengadilan Pajak
yang berbunyi, “permohonan peninjauan kembali sebagaimana dimaksud dalam
pasal 77 ayat (3) hanya dapat diajukan1 (satu) kali kepada mahkamah agung
memlalui Pengadilan Pajak”.
Jika tidak ada ketentuan tersebut diatas pemohon tidak terhalangi hakkonstitusionalnya
karena pemohon bisa mengajukan Peninjauan Kembali lebih dari satu kali.
Referensi!
- https://jdih.kemenkeu.go.id/download/7920062f-2968-4c3b-9229-
bd63399d9ab2/23.%20133_PUU-XIII_2015.pdf
-
https://repository.uksw.edu/bitstream/123456789/28798/3/T1_312015146_Bab%20II.pdf
- https://jurnalkonstitusi.mkri.id/index.php/jk/article/download/1145/44
- https://jia.stialanbandung.ac.id/index.php/jia/article/download/16/14
ASSISTANT
**Nilai Total:** 88  

**Komentar:**  
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