Upload 3 files
Browse files- json2txt (2).ipynb +89 -0
- xiazai (1).py +20 -0
- 解压.ipynb +1815 -0
json2txt (2).ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "74b04d07-c4df-48d9-9745-dc1aebf9b695",
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"%cd /train3/1_data\n",
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"import json\n",
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"from datetime import datetime\n",
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"def process_line(line, count):\n",
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" try:\n",
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" data = json.loads(line)\n",
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" # 提取关键数据转为txt\n",
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" json2txt(data)\n",
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" print(f'Processed line {count}')\n",
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" except json.JSONDecodeError as e:\n",
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" print(f\"JSONDecodeError: {e}\")\n",
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"\n",
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"def json2txt(data):\n",
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" # 提取关键参数\n",
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" id_value = str(data['id'])\n",
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" tag_general = data.get('tag_string_general', '')\n",
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" tag_character = data.get('tag_string_character', '')\n",
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" tag_copyright = data.get('tag_string_copyright', '')\n",
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" tag_artist = data.get('tag_string_artist', '')\n",
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" rating = data['rating']\n",
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" created_at = data['created_at']\n",
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" # 格式化标签字符串\n",
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" def format_tags(tag_string):\n",
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" tags = tag_string.split()\n",
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" formatted_tags = ', '.join(tags)\n",
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" return formatted_tags\n",
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" \n",
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" tag_general_formatted = format_tags(tag_general)\n",
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" tag_character_formatted = format_tags(tag_character)\n",
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" tag_copyright_formatted = format_tags(tag_copyright)\n",
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" tag_artist_formatted = format_tags(tag_artist)\n",
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" \n",
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" # 构造文件名\n",
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" filename = f\"{id_value}.txt\"\n",
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" year = datetime.strptime(created_at, \"%Y-%m-%dT%H:%M:%S.%f%z\").year\n",
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" # 写入文本文件\n",
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" with open(filename, 'w', encoding='utf-8') as f:\n",
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" f.write(f\"{tag_artist_formatted}, \")\n",
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" f.write(f\"{tag_general_formatted}, \")\n",
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" f.write(f\"{tag_character_formatted}, \")\n",
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" f.write(f\"{tag_copyright_formatted}, \")\n",
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" f.write(f\"year_{year}, \")\n",
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" if rating == 'e':\n",
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" f.write(\"nsfw\")\n",
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" print(f\"文件 {filename} 已成功创建并保存相关数据。\")\n",
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"\n",
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"# 打开原始 JSON 文件\n",
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"input_file = '/posts.json' # 原始 JSON 文件路径\n",
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"count = 1\n",
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"\n",
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"with open(input_file, 'r', encoding='utf-8') as file:\n",
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" for line in file:\n",
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" process_line(line, count)\n",
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" count += 1\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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xiazai (1).py
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import subprocess
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from concurrent.futures import ThreadPoolExecutor
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# 定义下载函数
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def download_file(url, output):
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command = f'aria2c -x 16 -s 16 -c "{url}" -o {output}'
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print(f"下载 {output}")
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subprocess.run(command, shell=True)
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# 定义URL和输出文件名https://hf-mirror.com/datasets/KBlueLeaf/danbooru2023-webp-4Mpixel/resolve/main/images/data-0000.tar?download=true
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urls = [
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f"https://hf-mirror.com/datasets/KBlueLeaf/danbooru2023-webp-4Mpixel/resolve/main/images/data-{i:04d}.tar"
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for i in range(463, 999, 2)
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]
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outputs = [f"data-{i:04d}.tar" for i in range(463, 999, 2)]
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# 使用ThreadPoolExecutor并行执行下载
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with ThreadPoolExecutor(max_workers=10) as executor:
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for url, output in zip(urls, outputs):
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executor.submit(download_file, url, output)
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解压.ipynb
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| 1 |
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{
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| 2 |
+
"cells": [
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| 3 |
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{
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| 4 |
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|
| 5 |
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"id": "09a6e84d-3d03-4cd3-94a1-99ca37763e49",
|
| 7 |
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"metadata": {},
|
| 8 |
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"outputs": [
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| 9 |
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{
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| 10 |
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| 11 |
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| 12 |
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},
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{
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| 918 |
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"ename": "KeyboardInterrupt",
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| 919 |
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"evalue": "",
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| 920 |
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"output_type": "error",
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"traceback": [
|
| 922 |
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
| 923 |
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"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
|
| 924 |
+
"Cell \u001b[0;32mIn[1], line 17\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[38;5;66;03m# Multithreaded extraction using ThreadPool\u001b[39;00m\n\u001b[1;32m 16\u001b[0m pool \u001b[38;5;241m=\u001b[39m ThreadPool(processes\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m10\u001b[39m)\n\u001b[0;32m---> 17\u001b[0m \u001b[43mpool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmap\u001b[49m\u001b[43m(\u001b[49m\u001b[43mparallel_extract\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtar_file_list\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 18\u001b[0m pool\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m 19\u001b[0m pool\u001b[38;5;241m.\u001b[39mjoin()\n",
|
| 925 |
+
"File \u001b[0;32m/usr/lib/python3.8/multiprocessing/pool.py:364\u001b[0m, in \u001b[0;36mPool.map\u001b[0;34m(self, func, iterable, chunksize)\u001b[0m\n\u001b[1;32m 359\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmap\u001b[39m(\u001b[38;5;28mself\u001b[39m, func, iterable, chunksize\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m 360\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[1;32m 361\u001b[0m \u001b[38;5;124;03m Apply `func` to each element in `iterable`, collecting the results\u001b[39;00m\n\u001b[1;32m 362\u001b[0m \u001b[38;5;124;03m in a list that is returned.\u001b[39;00m\n\u001b[1;32m 363\u001b[0m \u001b[38;5;124;03m '''\u001b[39;00m\n\u001b[0;32m--> 364\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_map_async\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43miterable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapstar\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mchunksize\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
|
| 926 |
+
"File \u001b[0;32m/usr/lib/python3.8/multiprocessing/pool.py:765\u001b[0m, in \u001b[0;36mApplyResult.get\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 764\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget\u001b[39m(\u001b[38;5;28mself\u001b[39m, timeout\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m--> 765\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 766\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mready():\n\u001b[1;32m 767\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTimeoutError\u001b[39;00m\n",
|
| 927 |
+
"File \u001b[0;32m/usr/lib/python3.8/multiprocessing/pool.py:762\u001b[0m, in \u001b[0;36mApplyResult.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 761\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwait\u001b[39m(\u001b[38;5;28mself\u001b[39m, timeout\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m--> 762\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_event\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n",
|
| 928 |
+
"File \u001b[0;32m/usr/lib/python3.8/threading.py:558\u001b[0m, in \u001b[0;36mEvent.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 556\u001b[0m signaled \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flag\n\u001b[1;32m 557\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m signaled:\n\u001b[0;32m--> 558\u001b[0m signaled \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cond\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 559\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m signaled\n",
|
| 929 |
+
"File \u001b[0;32m/usr/lib/python3.8/threading.py:302\u001b[0m, in \u001b[0;36mCondition.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 300\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m: \u001b[38;5;66;03m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[39;00m\n\u001b[1;32m 301\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 302\u001b[0m \u001b[43mwaiter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 303\u001b[0m gotit \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 304\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
|
| 930 |
+
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
|
| 931 |
+
]
|
| 932 |
+
},
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+
{
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| 934 |
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"name": "stdout",
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+
"output_type": "stream",
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"text": [
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|
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|
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|
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+
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|
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+
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|
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|
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
| 1749 |
+
"1080963.jpg\n",
|
| 1750 |
+
"1065955.jpg\n",
|
| 1751 |
+
"1109959.swf\n",
|
| 1752 |
+
"1081963.jpg\n",
|
| 1753 |
+
"1061953.jpg\n",
|
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+
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|
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+
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|
| 1756 |
+
]
|
| 1757 |
+
}
|
| 1758 |
+
],
|
| 1759 |
+
"source": [
|
| 1760 |
+
"import subprocess\n",
|
| 1761 |
+
"from concurrent.futures import ThreadPoolExecutor\n",
|
| 1762 |
+
"import os\n",
|
| 1763 |
+
"import time\n",
|
| 1764 |
+
"!mkdir -p /train3/1_data\n",
|
| 1765 |
+
"# 定义解压函数，带重试机制\n",
|
| 1766 |
+
"def download_file(output, retries=1):\n",
|
| 1767 |
+
" for attempt in range(retries):\n",
|
| 1768 |
+
" try:\n",
|
| 1769 |
+
" if os.path.exists(f'/root/tmp/{output}'):\n",
|
| 1770 |
+
" command = f'tar -xvf /root/tmp/{output} -C /train3/1_data'\n",
|
| 1771 |
+
" print(f\"解压 {output}\")\n",
|
| 1772 |
+
" subprocess.run(command, shell=True)\n",
|
| 1773 |
+
" break\n",
|
| 1774 |
+
" else:\n",
|
| 1775 |
+
" raise FileNotFoundError(f'文件 {output} 未找到')\n",
|
| 1776 |
+
" except FileNotFoundError as e:\n",
|
| 1777 |
+
" print(e)\n",
|
| 1778 |
+
" if attempt < retries - 1:\n",
|
| 1779 |
+
" print(f\"重试 {output} (尝试 {attempt + 1}/{retries})\")\n",
|
| 1780 |
+
" time.sleep(0) # 等待一段时间后重试\n",
|
| 1781 |
+
" else:\n",
|
| 1782 |
+
" print(f\"文件 {output} 解压失败，重试次数已用完\")\n",
|
| 1783 |
+
"\n",
|
| 1784 |
+
"# 定义文件名\n",
|
| 1785 |
+
"outputs = [f\"data-{i:04d}.tar\" for i in range(0, 1999, 1)]\n",
|
| 1786 |
+
"\n",
|
| 1787 |
+
"# 使用ThreadPoolExecutor并行执行解压\n",
|
| 1788 |
+
"with ThreadPoolExecutor(max_workers=16) as executor:\n",
|
| 1789 |
+
" for output in outputs:\n",
|
| 1790 |
+
" executor.submit(download_file, output)\n"
|
| 1791 |
+
]
|
| 1792 |
+
}
|
| 1793 |
+
],
|
| 1794 |
+
"metadata": {
|
| 1795 |
+
"kernelspec": {
|
| 1796 |
+
"display_name": "Python 3 (ipykernel)",
|
| 1797 |
+
"language": "python",
|
| 1798 |
+
"name": "python3"
|
| 1799 |
+
},
|
| 1800 |
+
"language_info": {
|
| 1801 |
+
"codemirror_mode": {
|
| 1802 |
+
"name": "ipython",
|
| 1803 |
+
"version": 3
|
| 1804 |
+
},
|
| 1805 |
+
"file_extension": ".py",
|
| 1806 |
+
"mimetype": "text/x-python",
|
| 1807 |
+
"name": "python",
|
| 1808 |
+
"nbconvert_exporter": "python",
|
| 1809 |
+
"pygments_lexer": "ipython3",
|
| 1810 |
+
"version": "3.8.10"
|
| 1811 |
+
}
|
| 1812 |
+
},
|
| 1813 |
+
"nbformat": 4,
|
| 1814 |
+
"nbformat_minor": 5
|
| 1815 |
+
}
|