{
  "id": 330417,
  "title": "Extract all functions, variables... names",
  "url": "/competitions/AI4Code/discussion/330417",
  "author_name": "",
  "post_date": "2022-06-12T07:04:15.505494300Z",
  "votes": 19,
  "comment_count": 6,
  "views": 0,
  "content": "<p>The purpose of this notebook is to show the process of extracting functions, classes, variables…..names, in order to integrate them into a clean dataset and improve our score</p>\n<p><a href=\"https://www.kaggle.com/code/haithamaliryan/ai4code-extract-all-functions-variables-names\" target=\"_blank\">https://www.kaggle.com/code/haithamaliryan/ai4code-extract-all-functions-variables-names</a></p>",
  "messages": [
    {
      "id": "1818039",
      "postDate": "06/12/2022 07:04:15",
      "content": "<p>The purpose of this notebook is to show the process of extracting functions, classes, variables…..names, in order to integrate them into a clean dataset and improve our score</p>\n<p><a href=\"https://www.kaggle.com/code/haithamaliryan/ai4code-extract-all-functions-variables-names\" target=\"_blank\">https://www.kaggle.com/code/haithamaliryan/ai4code-extract-all-functions-variables-names</a></p>",
      "rawMarkdown": "The purpose of this notebook is to show the process of extracting functions, classes, variables.....names, in order to integrate them into a clean dataset and improve our score\n\nhttps://www.kaggle.com/code/haithamaliryan/ai4code-extract-all-functions-variables-names",
      "votes": null
    },
    {
      "id": "1818049",
      "postDate": "06/12/2022 07:11:57",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/haithamaliryan\" target=\"_blank\">@haithamaliryan</a></p>",
      "rawMarkdown": "Thanks for sharing @haithamaliryan",
      "votes": null
    },
    {
      "id": "1818057",
      "postDate": "06/12/2022 07:19:26",
      "content": "<p>welcome <a href=\"https://www.kaggle.com/muhammedtausif\" target=\"_blank\">@muhammedtausif</a> </p>",
      "rawMarkdown": "welcome @muhammedtausif",
      "votes": null
    },
    {
      "id": "1818061",
      "postDate": "06/12/2022 07:27:08",
      "content": "<p>Great work! Keep up the fantastic contribution</p>",
      "rawMarkdown": "Great work! Keep up the fantastic contribution",
      "votes": null
    },
    {
      "id": "1818065",
      "postDate": "06/12/2022 07:29:55",
      "content": "<p>I appreciate your kind words, Ravi</p>",
      "rawMarkdown": "I appreciate your kind words, Ravi",
      "votes": null
    },
    {
      "id": "1818101",
      "postDate": "06/12/2022 08:45:28",
      "content": "<p>Nice work, I was considering use ast to parse the code, but tokenizer seems a more suitable method.</p>",
      "rawMarkdown": "Nice work, I was considering use ast to parse the code, but tokenizer seems a more suitable method.",
      "votes": null
    },
    {
      "id": "1818114",
      "postDate": "06/12/2022 09:38:44",
      "content": "<p>That's what I think, too <a href=\"https://www.kaggle.com/snaker\" target=\"_blank\">@snaker</a> </p>",
      "rawMarkdown": "That's what I think, too @snaker",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1818049,
      "author_name": "muhammedtausif",
      "author_url": "",
      "post_date": "06/12/2022 07:11:57",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/haithamaliryan\" target=\"_blank\">@haithamaliryan</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 1818057,
          "author_name": "haithamaliryan",
          "author_url": "",
          "post_date": "06/12/2022 07:19:26",
          "content": "<p>welcome <a href=\"https://www.kaggle.com/muhammedtausif\" target=\"_blank\">@muhammedtausif</a> </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1818061,
      "author_name": "ravi20076",
      "author_url": "",
      "post_date": "06/12/2022 07:27:08",
      "content": "<p>Great work! Keep up the fantastic contribution</p>",
      "votes": null,
      "replies": [
        {
          "id": 1818065,
          "author_name": "haithamaliryan",
          "author_url": "",
          "post_date": "06/12/2022 07:29:55",
          "content": "<p>I appreciate your kind words, Ravi</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1818101,
      "author_name": "snaker",
      "author_url": "",
      "post_date": "06/12/2022 08:45:28",
      "content": "<p>Nice work, I was considering use ast to parse the code, but tokenizer seems a more suitable method.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1818114,
          "author_name": "haithamaliryan",
          "author_url": "",
          "post_date": "06/12/2022 09:38:44",
          "content": "<p>That's what I think, too <a href=\"https://www.kaggle.com/snaker\" target=\"_blank\">@snaker</a> </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1818039": "The purpose of this notebook is to show the process of extracting functions, classes, variables.....names, in order to integrate them into a clean dataset and improve our score\n\nhttps://www.kaggle.com/code/haithamaliryan/ai4code-extract-all-functions-variables-names",
    "1818049": "Thanks for sharing @haithamaliryan",
    "1818057": "welcome @muhammedtausif",
    "1818061": "Great work! Keep up the fantastic contribution",
    "1818065": "I appreciate your kind words, Ravi",
    "1818101": "Nice work, I was considering use ast to parse the code, but tokenizer seems a more suitable method.",
    "1818114": "That's what I think, too @snaker"
  },
  "source": "meta"
}