{
  "absolute_id": 127,
  "language": "cn",
  "persona": "Researcher",
  "task": "测试项目文件夹的python目录下有10个python文件，帮我总结并生成一份requirement.txt文件",
  "task_diff": "中等（步骤不超过10步且包含协同类型2）",
  "output_files": [
    "requirement.txt"
  ],
  "rubrics": [
    "requirement.txt文件是否成功生成且不为空？",
    "requirement.txt中是否包含beautifulsoup4依赖？",
    "requirement.txt中是否包含click依赖？",
    "requirement.txt中是否包含flask依赖？",
    "requirement.txt中是否包含loguru依赖？",
    "requirement.txt中是否包含matplotlib依赖？",
    "requirement.txt中是否包含numpy依赖？",
    "requirement.txt中是否包含pandas依赖？",
    "requirement.txt中是否包含Pillow依赖？",
    "requirement.txt中是否包含requests依赖？",
    "requirement.txt中是否包含scikit-learn依赖？",
    "requirement.txt中是否包含sqlalchemy依赖？",
    "requirement.txt中是否包含torch依赖？",
    "requirement.txt中是否包含tqdm依赖？",
    "requirement.txt中是否总共包含13个第三方依赖包？",
    "requirement.txt中每个依赖是否单独占一行，符合标准格式？",
    "是否所有8个python文件中的第三方依赖都被提取出来了？",
    "是否正确识别出Pillow包对应的导入名为PIL？",
    "是否正确识别出beautifulsoup4包对应的导入名为bs4？",
    "是否没有包含Python标准库（如time）作为依赖？",
    "输出文件中是否没有重复的依赖包？"
  ],
  "rubric_types": [
    "基础评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "过程评估",
    "过程评估",
    "过程评估",
    "过程评估",
    "基础评估",
    "结果评估"
  ],
  "file_dep_graph": [
    {
      "from": "utils.py",
      "to": "requirement.txt"
    },
    {
      "from": "image.py",
      "to": "requirement.txt"
    },
    {
      "from": "machine_learning.py",
      "to": "requirement.txt"
    },
    {
      "from": "visualization.py",
      "to": "requirement.txt"
    },
    {
      "from": "data_process.py",
      "to": "requirement.txt"
    },
    {
      "from": "web_network.py",
      "to": "requirement.txt"
    },
    {
      "from": "parsing.py",
      "to": "requirement.txt"
    },
    {
      "from": "database.py",
      "to": "requirement.txt"
    }
  ],
  "data_manifest": [
    {
      "filename": "utils.py",
      "stored_relpath": "data/04615d9bb193d12a_utils.py"
    },
    {
      "filename": "image.py",
      "stored_relpath": "data/6ac9cb19a3098459_image.py"
    },
    {
      "filename": "machine_learning.py",
      "stored_relpath": "data/8b25b51cd1e60a50_machine_learning.py"
    },
    {
      "filename": "visualization.py",
      "stored_relpath": "data/d69a6cacd82e9248_visualization.py"
    },
    {
      "filename": "data_process.py",
      "stored_relpath": "data/e2255788b05171cc_data_process.py"
    },
    {
      "filename": "web_network.py",
      "stored_relpath": "data/e7f3387113605ae4_web_network.py"
    },
    {
      "filename": "parsing.py",
      "stored_relpath": "data/f16f8055bf0dff2a_parsing.py"
    },
    {
      "filename": "database.py",
      "stored_relpath": "data/f959101505b37898_database.py"
    }
  ],
  "tested_capabilities": [
    "Workspace Exploration",
    "Semantic Content Relations Understanding"
  ]
}