{
  "id": 501077,
  "title": "get error with concurrent.futures.ThreadPoolExecutor when submit",
  "url": "/competitions/birdclef-2024/discussion/501077",
  "author_name": "",
  "post_date": "2024-05-08T02:26:21.484089600Z",
  "votes": 2,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Looking back at previous solutions, people used concurrent.futures.ThreadPoolExecutor to achieve inference with multiple models simultaneously within 120 minutes. However, in my attempt, using concurrent.futures.ThreadPoolExecutor resulted in an error. After removing it, I was able to submit successfully.</p>",
  "messages": [
    {
      "id": "2799857",
      "postDate": "05/08/2024 02:26:21",
      "content": "<p>Looking back at previous solutions, people used concurrent.futures.ThreadPoolExecutor to achieve inference with multiple models simultaneously within 120 minutes. However, in my attempt, using concurrent.futures.ThreadPoolExecutor resulted in an error. After removing it, I was able to submit successfully.</p>",
      "rawMarkdown": "Looking back at previous solutions, people used concurrent.futures.ThreadPoolExecutor to achieve inference with multiple models simultaneously within 120 minutes. However, in my attempt, using concurrent.futures.ThreadPoolExecutor resulted in an error. After removing it, I was able to submit successfully.",
      "votes": null
    },
    {
      "id": "2804640",
      "postDate": "05/10/2024 06:19:36",
      "content": "<p>Hi, have you solved this problem?</p>",
      "rawMarkdown": "Hi, have you solved this problem?",
      "votes": null
    },
    {
      "id": "2805257",
      "postDate": "05/10/2024 13:00:03",
      "content": "<p>I had some issues with this and it was from using <code>tqdm</code></p>",
      "rawMarkdown": "I had some issues with this and it was from using `tqdm`",
      "votes": null
    },
    {
      "id": "2805565",
      "postDate": "05/10/2024 15:56:28",
      "content": "<p>not yet😭😭😭😭😭😭😭😭</p>",
      "rawMarkdown": "not yet😭😭😭😭😭😭😭😭",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2804640,
      "author_name": "tanxxx",
      "author_url": "",
      "post_date": "05/10/2024 06:19:36",
      "content": "<p>Hi, have you solved this problem?</p>",
      "votes": null,
      "replies": [
        {
          "id": 2805565,
          "author_name": "shawntung",
          "author_url": "",
          "post_date": "05/10/2024 15:56:28",
          "content": "<p>not yet😭😭😭😭😭😭😭😭</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2805257,
      "author_name": "willrice",
      "author_url": "",
      "post_date": "05/10/2024 13:00:03",
      "content": "<p>I had some issues with this and it was from using <code>tqdm</code></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2799857": "Looking back at previous solutions, people used concurrent.futures.ThreadPoolExecutor to achieve inference with multiple models simultaneously within 120 minutes. However, in my attempt, using concurrent.futures.ThreadPoolExecutor resulted in an error. After removing it, I was able to submit successfully.",
    "2804640": "Hi, have you solved this problem?",
    "2805257": "I had some issues with this and it was from using `tqdm`",
    "2805565": "not yet😭😭😭😭😭😭😭😭"
  },
  "source": "meta"
}