{"id":593958,"date":"2025-08-25T09:21:22","date_gmt":"2025-08-25T08:21:22","guid":{"rendered":"https:\/\/blog.jetbrains.com\/pycharm\/2025\/06\/concurrency-in-async-await-and-threading\/"},"modified":"2025-08-25T09:21:29","modified_gmt":"2025-08-25T08:21:29","slug":"concurrency-in-async-await-and-threading","status":"publish","type":"pycharm","link":"https:\/\/blog.jetbrains.com\/ja\/pycharm\/2025\/08\/concurrency-in-async-await-and-threading\/","title":{"rendered":"\u3088\u308a\u9ad8\u901f\u306a Python \u958b\u767a\u3078: async\/await \u3068 threading \u306b\u304a\u3051\u308b\u4e26\u884c\u6027"},"content":{"rendered":"
\"\"<\/figure>\n

\u3042\u308b\u7a0b\u5ea6 Python \u306e\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u7d4c\u9a13\u304c\u3042\u308b\u65b9\uff08\u7279\u306b FastAPI \u3084 discord.py \u306a\u3069\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3063\u3066\u3044\u308b\u65b9\uff09\u306f\u3001async\/await<\/code> \u3084 asyncio<\/code> \u3092\u4f7f\u7528\u3057\u305f\u3053\u3068\u304c\u3042\u308b\u304b\u3068\u601d\u3044\u307e\u3059\u3002 \u300cPython \u3067\u306e\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u306f\u672c\u7269\u3067\u306f\u306a\u3044\u300d\u3068\u306e\u8a00\u8aac\u3092\u805e\u3044\u305f\u3053\u3068\u304c\u3042\u308a\u3001Python \u306e\u6709\u540d\u306a\uff08\u3042\u308b\u3044\u306f\u60aa\u540d\u9ad8\u3044\uff09GIL \u306e\u3053\u3068\u3082\u3054\u5b58\u77e5\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002 Python \u306e\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u306b\u5bfe\u3059\u308b\u5426\u5b9a\u7684\u306a\u610f\u898b\u3092\u8003\u616e\u3059\u308b\u3068\u3001\u7279\u306b Python \u306e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306b\u304a\u3051\u308b async\/await<\/code> \u3068\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u306e\u5b9f\u969b\u306e\u9055\u3044\u304c\u6c17\u306b\u306a\u3063\u3066\u3044\u308b\u306e\u3067\u306f\u306a\u3044\u3067\u3057\u3087\u3046\u304b\u3002 \u3053\u306e\u30d6\u30ed\u30b0\u8a18\u4e8b\u306f\u305d\u3093\u306a\u65b9\u306b\u3074\u3063\u305f\u308a\u3067\u3059\uff01<\/p>\n

\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u3068\u306f\uff1f<\/h2>\n

\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306b\u304a\u3051\u308b\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u3068\u306f\u3001\u3042\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u8907\u6570\u306e\u9023\u7d9a\u3059\u308b\u30bf\u30b9\u30af\uff08\u30b9\u30ec\u30c3\u30c9\u3068\u547c\u3070\u308c\u308b\uff09\u3092\u4e26\u884c\u3057\u3066\u5b9f\u884c\u3059\u308b\u6a5f\u80fd\u3092\u6307\u3057\u307e\u3059\u3002 \u3053\u306e\u3088\u3046\u306a\u30b9\u30ec\u30c3\u30c9\u306f 1 \u3064\u306e\u30d7\u30ed\u30bb\u30c3\u30b5\u30b3\u30a2\u304b\u8907\u6570\u306e\u30b3\u30a2\u3067\u5b9f\u884c\u3067\u304d\u307e\u3059\u304c\u3001 \u30b0\u30ed\u30fc\u30d0\u30eb\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u30ed\u30c3\u30af\uff08GIL\uff09\u306e\u5236\u9650\u306b\u3088\u308a\u3001Python \u306e\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u306f 1 \u3064\u306e\u30b3\u30a2\u3067\u3057\u304b\u5b9f\u884c\u3055\u308c\u307e\u305b\u3093\u3002 GIL \u3092\u53d6\u308a\u9664\u304f nogil\uff08\u307e\u305f\u306f\u30b9\u30ec\u30c3\u30c9\u30d5\u30ea\u30fc\uff09Python \u306f\u3053\u306e\u4f8b\u5916\u3067\u3059\u304c\u3001\u3053\u308c\u306b\u3064\u3044\u3066\u306f\u3053\u306e\u9023\u8f09\u306e\u7b2c 2 \u90e8\u3067\u8aac\u660e\u3057\u307e\u3059\u3002 \u3053\u306e\u30d6\u30ed\u30b0\u8a18\u4e8b\u3067\u306f\u3001GIL \u304c\u5fc5\u305a\u5b58\u5728\u3059\u308b\u3053\u3068\u3092\u524d\u63d0\u3068\u3057\u307e\u3059\u3002<\/p>\n

\u4e26\u884c\u6027\u3068\u306f\uff1f<\/h2>\n

\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306b\u304a\u3051\u308b\u4e26\u884c\u6027\u3068\u306f\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u304c\u540c\u6642\u306b\u8907\u6570\u306e\u51e6\u7406\u3092\u884c\u3063\u3066\u3044\u308b\u3001\u307e\u305f\u306f\u884c\u3063\u3066\u3044\u308b\u3088\u3046\u306b\u898b\u3048\u308b\u3053\u3068\u3092\u6307\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u8907\u6570\u306e\u7570\u306a\u308b\u30bf\u30b9\u30af\u304c 1 \u3064\u306e\u30d7\u30ed\u30bb\u30c3\u30b5\u4e0a\u3067\u5b9f\u884c\u3055\u308c\u3066\u3044\u308b\u5834\u5408\u3082\u5f53\u3066\u306f\u307e\u308a\u307e\u3059\u3002 \u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u69cb\u6210\u3059\u308b\u8907\u6570\u306e\u7570\u306a\u308b\u90e8\u5206\u9593\u306e\u30ea\u30bd\u30fc\u30b9\u3084\u9023\u643a\u51e6\u7406\u3092\u7ba1\u7406\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u5225\u3005\u306e\u30bf\u30b9\u30af\u3092\u540c\u3058\u6642\u9593\u67a0\u5185\u3067\u72ec\u7acb\u3057\u3066\u9032\u3081\u3089\u308c\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n

Python \u3067\u306f asyncio<\/code> \u3082 threading<\/code> \u3082\u4e26\u884c\u51e6\u7406\u306b\u898b\u3048\u308b<\/h3>\n

Python \u30e9\u30a4\u30d6\u30e9\u30ea\u306e asyncio<\/code> \u3068 threading<\/code> \u306f\u6982\u3057\u3066\u3069\u3061\u3089\u3082\u4e26\u884c\u6027\u3092\u5b9f\u73fe\u3057\u3066\u3044\u308b\u304b\u306e\u3088\u3046\u306b\u6a5f\u80fd\u3057\u307e\u3059\u304c\u3001 CPU \u304c\u5b9f\u969b\u306b\u540c\u6642\u306b\u8907\u6570\u306e\u51e6\u7406\u3092\u884c\u3063\u3066\u3044\u308b\u308f\u3051\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002 \u305f\u3060\u305d\u306e\u3088\u3046\u306b\u898b\u3048\u308b\u3060\u3051\u3067\u3059\u3002<\/p>\n

\u6570\u540d\u306e\u30b2\u30b9\u30c8\u3092\u30b3\u30fc\u30b9\u6599\u7406\u306e\u30c7\u30a3\u30ca\u30fc\u306b\u62db\u5f85\u3057\u3066\u3044\u308b\u72b6\u6cc1\u3092\u60f3\u50cf\u3057\u3066\u304f\u3060\u3055\u3044\u3002 \u30b3\u30fc\u30b9\u6599\u7406\u306e\u4e2d\u306b\u306f\u30aa\u30fc\u30d6\u30f3\u3067\u713c\u304f\u5fc5\u8981\u306e\u3042\u308b\u30d1\u30a4\u3084\u30b3\u30f3\u30ed\u3067\u716e\u8fbc\u3080\u30b9\u30fc\u30d7\u306a\u3069\u3001\u8abf\u7406\u306b\u6642\u9593\u304c\u304b\u304b\u308b\u3082\u306e\u3082\u3042\u308a\u307e\u3059\u3002 \u98df\u4e8b\u304c\u6e96\u5099\u3055\u308c\u308b\u306e\u3092\u5f85\u3064\u9593\u3001\u4f55\u3082\u305b\u305a\u306b\u305f\u3060\u3058\u3063\u3068\u3057\u3066\u3044\u308b\u4eba\u306f\u3044\u307e\u305b\u3093\u3002 \u305d\u306e\u9593\u306f\u4ed6\u306e\u3053\u3068\u3092\u3059\u308b\u3067\u3057\u3087\u3046\u3002 \u3053\u308c\u306f Python \u306b\u304a\u3051\u308b\u4e26\u884c\u6027\u306b\u4f3c\u3066\u3044\u307e\u3059\u3002 Python \u306e\u30d7\u30ed\u30bb\u30b9\u306f\u4f55\u3089\u304b\u306e\u51e6\u7406\u304c\u5b8c\u4e86\u3059\u308b\u306e\u3092\u5f85\u6a5f\u3057\u3066\u3044\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002 \u305f\u3068\u3048\u3070\u3001\u4e00\u90e8\u306e\u5165\u51fa\u529b\uff08I\/O\uff09\u30d7\u30ed\u30bb\u30b9\u306f\u30aa\u30da\u30ec\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u306b\u3088\u3063\u3066\u51e6\u7406\u3055\u308c\u3066\u3044\u308b\u9593\u3001Python \u30d7\u30ed\u30bb\u30b9\u306f\u305f\u3060\u5f85\u6a5f\u3057\u3066\u3044\u307e\u3059\u3002 \u305d\u306e\u969b\u306b async \u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u305d\u306e\u30d7\u30ed\u30bb\u30b9\u304c\u5f85\u6a5f\u4e2d\u306b\u4ed6\u306e Python \u30d7\u30ed\u30bb\u30b9\u3092\u5b9f\u884c\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

\"Python<\/figure>\n

\u5b9f\u884c\u306e\u4e3b\u4f53\u306b\u9055\u3044\u304c\u3042\u308b<\/h3>\n

asyncio<\/code> \u3068 threading<\/code> \u304c\u4e26\u884c\u3057\u3066\u3044\u308b\u3088\u3046\u306b\u898b\u3048\u308b\u5834\u5408\u3001\u305d\u308c\u3089\u306e\u9055\u3044\u306f\u4f55\u3067\u3057\u3087\u3046\u304b\uff1f \u4e00\u756a\u306e\u9055\u3044\u306f\u3001\u5b9f\u884c\u3059\u308b\u30d7\u30ed\u30bb\u30b9\u3068\u305d\u306e\u5b9f\u884c\u30bf\u30a4\u30df\u30f3\u30b0\u3092\u7ba1\u7406\u3059\u308b\u4e3b\u4f53\u3067\u3059\u3002 async\/await<\/code> \u306e\u5834\u5408\u3001\u3053\u306e\u624b\u6cd5\u306f\u5354\u8abf\u7684\u4e26\u884c\u6027\u3068\u547c\u3070\u308c\u308b\u3053\u3068\u3082\u3042\u308a\u307e\u3059\u3002 \u30b3\u30eb\u30fc\u30c1\u30f3\u3084 Future \u306f\u305d\u306e\u5236\u5fa1\u6a29\u3092\u5225\u306e\u30b3\u30eb\u30fc\u30c1\u30f3\u3084 Future \u306b\u59d4\u8b72\u3057\u3001\u4ed6\u306e\u51e6\u7406\u3092\u5b9f\u884c\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002 \u3053\u308c\u306b\u5bfe\u3057\u3001threading<\/code> \u306e\u5834\u5408\u306f\u30aa\u30da\u30ec\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u306e\u30de\u30cd\u30fc\u30b8\u30e3\u30fc\u304c\u3069\u306e\u30d7\u30ed\u30bb\u30b9\u304c\u5b9f\u884c\u3055\u308c\u308b\u304b\u3069\u3046\u304b\u3092\u5236\u5fa1\u3057\u307e\u3059\u3002<\/p>\n

\u5354\u8abf\u7684\u4e26\u884c\u6027\u306f\u3001\u8907\u6570\u4eba\u304c\u767a\u8a00\u3067\u304d\u308b\u3088\u3046\u306b\u30de\u30a4\u30af\u304c\u56de\u3055\u308c\u308b\u4f1a\u8b70\u306b\u4f3c\u3066\u3044\u307e\u3059\u3002 \u30de\u30a4\u30af\u3092\u6301\u3063\u305f\u4eba\u304c\u767a\u8a00\u3067\u304d\u3001\u767a\u8a00\u304c\u7d42\u308f\u308b\u304b\u3001\u767a\u8a00\u3059\u3079\u304d\u3053\u3068\u304c\u306a\u304f\u306a\u308b\u3068\u3001\u6b21\u306e\u4eba\u306b\u30de\u30a4\u30af\u304c\u6e21\u3055\u308c\u307e\u3059\u3002 \u305d\u308c\u3068\u306f\u5bfe\u7167\u7684\u306b\u3001\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u306f\u7279\u5b9a\u306e\u30bf\u30a4\u30df\u30f3\u30b0\u3067\u767a\u8a00\u3059\u308b\u4eba\u3092\u53f8\u4f1a\u8005\u304c\u6307\u540d\u3059\u308b\u4f1a\u8b70\u3067\u3059\u3002<\/p>\n

Python \u3067\u4e26\u884c\u51e6\u7406\u30b3\u30fc\u30c9\u3092\u66f8\u304f<\/h2>\n

\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066 Python \u306b\u304a\u3051\u308b\u4e26\u884c\u6027\u306e\u4ed5\u7d44\u307f\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002 asyncio<\/code> \u3068 threading<\/code> \u306e\u4e21\u65b9\u3092\u4f7f\u7528\u3057\u3001\u30d5\u30a1\u30b9\u30c8\u30d5\u30fc\u30c9\u5e97\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u4f5c\u6210\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n

Python \u306e async\/await<\/code> \u306e\u4ed5\u7d44\u307f<\/h3>\n

asyncio<\/code> \u30d1\u30c3\u30b1\u30fc\u30b8\u306f Python 3.4 \u3067\u3001async<\/code> \u30ad\u30fc\u30ef\u30fc\u30c9\u3068 await<\/code> \u30ad\u30fc\u30ef\u30fc\u30c9\u306f Python 3.5 \u3067\u5c0e\u5165\u3055\u308c\u307e\u3057\u305f\u3002 async\/await<\/code> \u3092\u5b9f\u73fe\u3059\u308b\u4e0a\u3067\u306e\u91cd\u8981\u4e8b\u9805\u306e 1 \u3064\u306b\u306f\u3001\u30b3\u30eb\u30fc\u30c1\u30f3\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002 Python \u306e\u30b3\u30eb\u30fc\u30c1\u30f3\u306f\u3001\u5b9f\u969b\u306b\u306f\u4e00\u6642\u505c\u6b62\u3084 main \u95a2\u6570\u3078\u306e\u8fd4\u5374\u3092\u53ef\u80fd\u3068\u3059\u308b\u3088\u3046\u306b\u8ee2\u7528\u3055\u308c\u308b\u30b8\u30a7\u30cd\u30ec\u30fc\u30bf\u30fc\u3067\u3059\u3002<\/p>\n

\u3067\u306f\u3001\u30b9\u30bf\u30c3\u30d5\u30e1\u30f3\u30d0\u30fc\u304c 1 \u4eba\u3057\u304b\u50cd\u3044\u3066\u3044\u306a\u3044\u30d0\u30fc\u30ac\u30fc\u30b7\u30e7\u30c3\u30d7\u3092\u60f3\u50cf\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002 \u6ce8\u6587\u306e\u54c1\u306f\u6ce8\u6587\u9806\u306b\u6e96\u5099\u3055\u308c\u3001async \u64cd\u4f5c\u306f\u4e00\u5207\u884c\u308f\u308c\u307e\u305b\u3093\u3002<\/p>\n

import time\n\n\ndef make_burger(order_num):\n    print(f\"Preparing burger #{order_num}...\")\n    time.sleep(5) # time for making the burger\n    print(f\"Burger made #{order_num}\")\n\n\ndef main():\n    for i in range(3):\n        make_burger(i)\n\n\nif __name__ == \"__main__\":\n    s = time.perf_counter()\n    main()\n    elapsed = time.perf_counter() - s\n    print(f\"Orders completed in {elapsed:0.2f} seconds.\")\n<\/pre>\n
\u3053\u306e\u5834\u5408\u3001\u5b8c\u4e86\u3059\u308b\u307e\u3067\u5c11\u3005\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002<\/p>\n
Preparing burger #0...\n\nBurger made #0\n\nPreparing burger #1...\n\nBurger made #1\n\nPreparing burger #2...\n\nBurger made #2\n\nOrders completed in 15.01 seconds.<\/pre>\n
\u3067\u306f\u3001\u4e26\u884c\u3057\u3066\u4f5c\u696d\u3067\u304d\u308b\u3088\u3046\u306b\u30b7\u30e7\u30c3\u30d7\u306e\u30b9\u30bf\u30c3\u30d5\u3092\u5897\u54e1\u3057\u305f\u5834\u5408\u306f\u3069\u3046\u3067\u3057\u3087\u3046\u304b\u3002<\/p>\n
import asyncio\n\nimport time\n\nasync def make_burger(order_num):\n\n\u00a0\u00a0\u00a0\u00a0print(f\"Preparing burger #{order_num}...\")\n\n\u00a0\u00a0\u00a0\u00a0await asyncio.sleep(5) # time for making the burger\n\n\u00a0\u00a0\u00a0\u00a0print(f\"Burger made #{order_num}\")\n\nasync def main():\n\n\u00a0\u00a0\u00a0\u00a0order_queue = []\n\n\u00a0\u00a0\u00a0\u00a0for i in range(3):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0order_queue.append(make_burger(i))\n\n\u00a0\u00a0\u00a0\u00a0await asyncio.gather(*(order_queue))\n\nif __name__ == \"__main__\":\n\n\u00a0\u00a0\u00a0\u00a0s = time.perf_counter()\n\n\u00a0\u00a0\u00a0\u00a0asyncio.run(main())\n\n\u00a0\u00a0\u00a0\u00a0elapsed = time.perf_counter() - s\n\n\u00a0\u00a0\u00a0\u00a0print(f\"Orders completed in {elapsed:0.2f} seconds.\")<\/pre>\n
\u3053\u306e 2 \u3064\u306b\u306f\u9055\u3044\u304c\u3042\u308b\u306e\u304c\u5206\u304b\u308a\u307e\u3059\u3002<\/p>\n
Preparing burger #0...\n\nPreparing burger #1...\n\nPreparing burger #2...\n\nBurger made #0\n\nBurger made #1\n\nBurger made #2\n\nOrders completed in 5.00 seconds.<\/pre>\n
asyncio<\/code> \u304c\u63d0\u4f9b\u3059\u308b run<\/code> \u3084 gather<\/code> \u306a\u3069\u306e\u95a2\u6570\u3084\u3001async<\/code> \u3084 await<\/code> \u306a\u3069\u306e\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u30cf\u30f3\u30d0\u30fc\u30ac\u30fc\u3092\u4e26\u884c\u3057\u3066\u4f5c\u6210\u3067\u304d\u308b\u30b3\u30eb\u30fc\u30c1\u30f3\u304c\u51fa\u6765\u4e0a\u304c\u308a\u307e\u3057\u305f\u3002<\/p>\n
\u6b21\u306f\u3055\u3089\u306b\u4e00\u6b69\u9032\u3093\u3067\u3001\u3088\u308a\u8907\u96d1\u306a\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u4f5c\u6210\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002 \u30b9\u30bf\u30c3\u30d5\u306f 2 \u4eba\u3060\u3051\u3067\u3001\u4e00\u5ea6\u306b 2 \u3064\u306e\u30cf\u30f3\u30d0\u30fc\u30ac\u30fc\u3092\u4f5c\u308c\u308b\u72b6\u614b\u3092\u60f3\u50cf\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
import asyncio\n\nimport time\n\norder_queue = asyncio.Queue()\n\ndef take_order():\n\n\u00a0\u00a0for i in range(3):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0order_queue.put_nowait(make_burger(i))\n\nasync def make_burger(order_num):\n\n\u00a0\u00a0print(f\"Preparing burger #{order_num}...\")\n\n\u00a0\u00a0await asyncio.sleep(5)\u00a0 # time for making the burger\n\n\u00a0\u00a0print(f\"Burger made #{order_num}\")\n\nclass Staff:\n\n\u00a0\u00a0def __init__(self, name):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0self.name = name\n\n\u00a0\u00a0async def working(self):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0while order_queue.qsize() > 0:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"{self.name} is working...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task = await order_queue.get()\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"{self.name} finished a task...\")\n\nasync def main():\n\n\u00a0\u00a0staff1 = Staff(name=\"John\")\n\n\u00a0\u00a0staff2 = Staff(name=\"Jane\")\n\n\u00a0\u00a0take_order()\n\n\u00a0\u00a0await asyncio.gather(staff1.working(), staff2.working())\n\nif __name__ == \"__main__\":\n\n\u00a0\u00a0s = time.perf_counter()\n\n\u00a0\u00a0asyncio.run(main())\n\n\u00a0\u00a0elapsed = time.perf_counter() - s\n\n\u00a0\u00a0print(f\"Orders completed in {elapsed:0.2f} seconds.\")<\/pre>\n
\u3053\u3053\u3067\u306f\u3001\u30ad\u30e5\u30fc\u3092\u4f7f\u7528\u3057\u3066\u30bf\u30b9\u30af\u3092\u683c\u7d0d\u3057\u3001\u30b9\u30bf\u30c3\u30d5\u304c\u30bf\u30b9\u30af\u3092\u53d6\u5f97\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n
John is working...\n\nPreparing burger #0...\n\nJane is working...\n\nPreparing burger #1...\n\nBurger made #0\n\nJohn finished a task...\n\nJohn is working...\n\nPreparing burger #2...\n\nBurger made #1\n\nJane finished a task...\n\nBurger made #2\n\nJohn finished a task...\n\nOrders completed in 10.00 seconds.<\/pre>\n
\u3053\u306e\u4f8b\u3067\u306f asyncio.Queue<\/code> \u3092\u4f7f\u7528\u3057\u3066\u30bf\u30b9\u30af\u3092\u683c\u7d0d\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u6b21\u306e\u4f8b\u306e\u3088\u3046\u306b\u30bf\u30b9\u30af\u306e\u7a2e\u985e\u304c\u8907\u6570\u3042\u308b\u5834\u5408\u5834\u5408\u306f\u3055\u3089\u306b\u4fbf\u5229\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
import asyncio\n\nimport time\n\ntask_queue = asyncio.Queue()\n\norder_num = 0\n\nasync def take_order():\n\n\u00a0\u00a0\u00a0global order_num\n\n\u00a0\u00a0\u00a0order_num += 1\n\n\u00a0\u00a0\u00a0print(f\"Order burger and fries for order #{order_num:04d}:\")\n\n\u00a0\u00a0\u00a0burger_num = input(\"Number of burgers:\")\n\n\u00a0\u00a0\u00a0for i in range(int(burger_num)):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task_queue.put(make_burger(f\"{order_num:04d}-burger{i:02d}\"))\n\n\u00a0\u00a0\u00a0fries_num = input(\"Number of fries:\")\n\n\u00a0\u00a0\u00a0for i in range(int(fries_num)):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task_queue.put(make_fries(f\"{order_num:04d}-fries{i:02d}\"))\n\n\u00a0\u00a0\u00a0print(f\"Order #{order_num:04d} queued.\")\n\n\u00a0\u00a0\u00a0await task_queue.put(take_order())\n\nasync def make_burger(order_num):\n\n\u00a0\u00a0\u00a0print(f\"Preparing burger #{order_num}...\")\n\n\u00a0\u00a0\u00a0await asyncio.sleep(5)\u00a0 # time for making the burger\n\n\u00a0\u00a0\u00a0print(f\"Burger made #{order_num}\")\n\nasync def make_fries(order_num):\n\n\u00a0\u00a0\u00a0print(f\"Preparing fries #{order_num}...\")\n\n\u00a0\u00a0\u00a0await asyncio.sleep(2)\u00a0 # time for making fries\n\n\u00a0\u00a0\u00a0print(f\"Fries made #{order_num}\")\n\nclass Staff:\n\n\u00a0\u00a0\u00a0def __init__(self, name):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0self.name = name\n\n\u00a0\u00a0\u00a0async def working(self):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0while True:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0if task_queue.qsize() > 0:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"{self.name} is working...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task = await task_queue.get()\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"{self.name} finish task...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0else:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await asyncio.sleep(1) #rest\n\nasync def main():\n\n\u00a0\u00a0\u00a0task_queue.put_nowait(take_order())\n\n\u00a0\u00a0\u00a0staff1 = Staff(name=\"John\")\n\n\u00a0\u00a0\u00a0staff2 = Staff(name=\"Jane\")\n\n\u00a0\u00a0\u00a0await asyncio.gather(staff1.working(), staff2.working())\n\nif __name__ == \"__main__\":\n\n\u00a0\u00a0\u00a0s = time.perf_counter()\n\n\u00a0\u00a0\u00a0asyncio.run(main())\n\n\u00a0\u00a0\u00a0elapsed = time.perf_counter() - s\n\n\u00a0\u00a0\u00a0print(f\"Orders completed in {elapsed:0.2f} seconds.\")<\/pre>\n
\u3053\u306e\u4f8b\u3067\u306f\u3001\u6bd4\u8f03\u7684\u6642\u9593\u306e\u304b\u304b\u3089\u306a\u3044\u30d5\u30e9\u30a4\u30c9\u30dd\u30c6\u30c8\u4f5c\u308a\u3084\u30e6\u30fc\u30b6\u30fc\u304b\u3089\u306e\u5165\u529b\u3092\u5fc5\u8981\u3068\u3059\u308b\u6ce8\u6587\u306e\u53d7\u3051\u4ed8\u3051\u306a\u3069\u306e\u8907\u6570\u306e\u30bf\u30b9\u30af\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\u3053\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u306f\u30e6\u30fc\u30b6\u30fc\u304b\u3089\u306e\u5165\u529b\u3092\u5f85\u6a5f\u4e2d\u306b\u505c\u6b62\u3057\u307e\u3059\u304c\u3001\u30d0\u30c3\u30af\u30b0\u30e9\u30a6\u30f3\u30c9\u3067\u6ce8\u6587\u3092\u53d7\u3051\u4ed8\u3051\u3066\u3044\u306a\u3044\u4ed6\u306e\u30b9\u30bf\u30c3\u30d5\u306e\u4f5c\u696d\u3082\u505c\u6b62\u3057\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002 \u3053\u308c\u306f\u3001input<\/code> \u95a2\u6570\u304c async \u3067\u306f\u306a\u3044\u305f\u3081\u3001await \u306e\u5bfe\u8c61\u306b\u306a\u3063\u3066\u3044\u306a\u3044\u305f\u3081\u3067\u3059\u3002 \u975e\u540c\u671f\u30b3\u30fc\u30c9\u3067\u306e\u5236\u5fa1\u306f\u3001\u5f85\u6a5f\u5bfe\u8c61\u306b\u306a\u3063\u3066\u3044\u308b\u5834\u5408\u306b\u306e\u307f\u89e3\u653e\u3055\u308c\u308b\u3053\u3068\u3092\u899a\u3048\u3066\u304a\u304d\u307e\u3057\u3087\u3046\u3002 \u3053\u308c\u3092\u4fee\u6b63\u3059\u308b\u306b\u306f\u3001<\/p>\n
input(\"Number of burgers:\")<\/pre>\n
\u3092\u6b21\u306b\u7f6e\u304d\u63db\u3048\u307e\u3059\u3002<\/p>\n
await asyncio.to_thread(input, \"Number of burgers:\")<\/pre>\n
\u307e\u305f\u3001\u30d5\u30e9\u30a4\u30c9\u30dd\u30c6\u30c8\u306b\u3082\u540c\u3058\u4fee\u6b63\u3092\u884c\u3044\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002 \u3053\u308c\u3067\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u7121\u9650\u30eb\u30fc\u30d7\u3067\u5b9f\u884c\u3055\u308c\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002 \u3053\u306e\u30eb\u30fc\u30d7\u3092\u505c\u6b62\u3055\u305b\u305f\u3044\u5834\u5408\u306f\u3001\u7121\u52b9\u306a\u5165\u529b\u306b\u3088\u3063\u3066\u610f\u56f3\u7684\u306b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u30af\u30e9\u30c3\u30b7\u30e5\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
import asyncio\n\nimport time\n\ntask_queue = asyncio.Queue()\n\norder_num = 0\n\nasync def take_order():\n\n\u00a0\u00a0\u00a0global order_num\n\n\u00a0\u00a0\u00a0order_num += 1\n\n\u00a0\u00a0\u00a0print(f\"Order burger and fries for order #{order_num:04d}:\")\n\n\u00a0\u00a0\u00a0burger_num = await asyncio.to_thread(input, \"Number of burgers:\")\n\n\u00a0\u00a0\u00a0for i in range(int(burger_num)):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task_queue.put(make_burger(f\"{order_num:04d}-burger{i:02d}\"))\n\n\u00a0\u00a0\u00a0fries_num = await asyncio.to_thread(input, \"Number of fries:\")\n\n\u00a0\u00a0\u00a0for i in range(int(fries_num)):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task_queue.put(make_fries(f\"{order_num:04d}-fries{i:02d}\"))\n\n\u00a0\u00a0\u00a0print(f\"Order #{order_num:04d} queued.\")\n\n\u00a0\u00a0\u00a0await task_queue.put(take_order())\n\nasync def make_burger(order_num):\n\n\u00a0\u00a0\u00a0print(f\"Preparing burger #{order_num}...\")\n\n\u00a0\u00a0\u00a0await asyncio.sleep(5)\u00a0 # time for making the burger\n\n\u00a0\u00a0\u00a0print(f\"Burger made #{order_num}\")\n\nasync def make_fries(order_num):\n\n\u00a0\u00a0\u00a0print(f\"Preparing fries #{order_num}...\")\n\n\u00a0\u00a0\u00a0await asyncio.sleep(2)\u00a0 # time for making fries\n\n\u00a0\u00a0\u00a0print(f\"Fries made #{order_num}\")\n\nclass Staff:\n\n\u00a0\u00a0\u00a0def __init__(self, name):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0self.name = name\n\n\u00a0\u00a0\u00a0async def working(self):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0while True:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0if task_queue.qsize() > 0:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"{self.name} is working...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task = await task_queue.get()\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"{self.name} finish task...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0else:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await asyncio.sleep(1) #rest\n\nasync def main():\n\n\u00a0\u00a0\u00a0task_queue.put_nowait(take_order())\n\n\u00a0\u00a0\u00a0staff1 = Staff(name=\"John\")\n\n\u00a0\u00a0\u00a0staff2 = Staff(name=\"Jane\")\n\n\u00a0\u00a0\u00a0await asyncio.gather(staff1.working(), staff2.working())\n\nif __name__ == \"__main__\":\n\n\u00a0\u00a0\u00a0s = time.perf_counter()\n\n\u00a0\u00a0\u00a0asyncio.run(main())\n\n\u00a0\u00a0\u00a0elapsed = time.perf_counter() - s\n\n\u00a0\u00a0\u00a0print(f\"Orders completed in {elapsed:0.2f} seconds.\")<\/pre>\n
asyncio.to_thread<\/code> \u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3001input<\/code> \u95a2\u6570\u3092\u5225\u306e\u30b9\u30ec\u30c3\u30c9\u306b\u5165\u308c\u307e\u3057\u305f\uff08\u3053\u3061\u3089\u306e\u30ea\u30d5\u30a1\u30ec\u30f3\u30b9\u3092\u53c2\u7167<\/a>\uff09\u3002 \u305f\u3060\u3057\u3001\u3053\u306e\u6280\u3067\u30d6\u30ed\u30c3\u30af\u3092\u89e3\u9664\u3067\u304d\u308b\u306e\u306f\u3001Python GIL \u304c\u5b58\u5728\u3059\u308b\u72b6\u6cc1\u306e I\/O \u30d0\u30a6\u30f3\u30c9\u306e\u30bf\u30b9\u30af\u3060\u3051\u3067\u3059\u3002<\/p>\n
\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3059\u308b\u3068\u3001\u30bf\u30fc\u30df\u30ca\u30eb\u306e\u6a19\u6e96 I\/O \u304c\u5165\u308a\u4e71\u308c\u3066\u898b\u3048\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002 \u30e6\u30fc\u30b6\u30fc\u306e I\/O \u3068\u51e6\u7406\u5185\u5bb9\u306e\u8a18\u9332\u306f\u5206\u96e2\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 \u8a18\u9332\u3092\u30ed\u30b0\u306b\u5165\u308c\u3001\u5f8c\u3067\u691c\u67fb\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
import asyncio\n\nimport logging\n\nimport time\n\nlogger = logging.getLogger(__name__)\n\nlogging.basicConfig(filename='pyburger.log', level=logging.INFO)\n\ntask_queue = asyncio.Queue()\n\norder_num = 0\n\nclosing = False\n\nasync def take_order():\n\n\u00a0\u00a0\u00a0global order_num, closing\n\n\u00a0\u00a0\u00a0try:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0order_num += 1\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"Taking Order #{order_num:04d}...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"Order burger and fries for order #{order_num:04d}:\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0burger_num = await asyncio.to_thread(input, \"Number of burgers:\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0for i in range(int(burger_num)):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task_queue.put(make_burger(f\"{order_num:04d}-burger{i:02d}\"))\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0fries_num = await asyncio.to_thread(input, \"Number of fries:\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0for i in range(int(fries_num)):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task_queue.put(make_fries(f\"{order_num:04d}-fries{i:02d}\"))\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"Order #{order_num:04d} queued.\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"Order #{order_num:04d} queued, please wait.\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task_queue.put(take_order())\n\n\u00a0\u00a0\u00a0except ValueError:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(\"Goodbye!\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(\"Closing down... stop taking orders and finish all tasks.\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0closing = True\n\nasync def make_burger(order_num):\n\n\u00a0\u00a0\u00a0logger.info(f\"Preparing burger #{order_num}...\")\n\n\u00a0\u00a0\u00a0await asyncio.sleep(5)\u00a0 # time for making the burger\n\n\u00a0\u00a0\u00a0logger.info(f\"Burger made #{order_num}\")\n\nasync def make_fries(order_num):\n\n\u00a0\u00a0\u00a0logger.info(f\"Preparing fries #{order_num}...\")\n\n\u00a0\u00a0\u00a0await asyncio.sleep(2)\u00a0 # time for making fries\n\n\u00a0\u00a0\u00a0logger.info(f\"Fries made #{order_num}\")\n\nclass Staff:\n\n\u00a0\u00a0\u00a0def __init__(self, name):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0self.name = name\n\n\u00a0\u00a0\u00a0async def working(self):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0while True:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0if task_queue.qsize() > 0:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"{self.name} is working...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task = await task_queue.get()\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await task\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task_queue.task_done()\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"{self.name} finish task.\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0elif closing:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0return\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0else:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0await asyncio.sleep(1) #rest\n\nasync def main():\n\n\u00a0\u00a0\u00a0global task_queue\n\n\u00a0\u00a0\u00a0task_queue.put_nowait(take_order())\n\n\u00a0\u00a0\u00a0staff1 = Staff(name=\"John\")\n\n\u00a0\u00a0\u00a0staff2 = Staff(name=\"Jane\")\n\n\u00a0\u00a0\u00a0print(\"Welcome to Pyburger!\")\n\n\u00a0\u00a0\u00a0logger.info(\"Ready for business!\")\n\n\u00a0\u00a0\u00a0await asyncio.gather(staff1.working(), staff2.working())\n\n\u00a0\u00a0\u00a0logger.info(\"All tasks finished. Closing now.\")\n\nif __name__ == \"__main__\":\n\n\u00a0\u00a0\u00a0s = time.perf_counter()\n\n\u00a0\u00a0\u00a0asyncio.run(main())\n\n\u00a0\u00a0\u00a0elapsed = time.perf_counter() - s\n\n\u00a0\u00a0\u00a0logger.info(f\"Orders completed in {elapsed:0.2f} seconds.\")<\/pre>\n
\u3053\u306e\u6700\u7d42\u7684\u306a\u30b3\u30fc\u30c9\u30d6\u30ed\u30c3\u30af\u3067\u306f\u3001\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u60c5\u5831\u3092 pyburger.log<\/code> \u306b\u8a18\u9332\u3057\u3001\u30bf\u30fc\u30df\u30ca\u30eb\u3092\u9867\u5ba2\u5411\u3051\u306e\u30e1\u30c3\u30bb\u30fc\u30b8\u5c02\u7528\u306b\u3057\u307e\u3057\u305f\u3002 \u307e\u305f\u3001\u6ce8\u6587\u3092\u51e6\u7406\u4e2d\u306b\u7121\u52b9\u306a\u5165\u529b\u3092\u6355\u6349\u3057\u3001\u5165\u529b\u304c\u7121\u52b9\u306a\u5834\u5408\u306f\u30e6\u30fc\u30b6\u30fc\u304c\u7d42\u4e86\u3092\u671b\u3093\u3067\u3044\u308b\u3082\u306e\u3068\u3057\u3066 closing<\/code> \u30d5\u30e9\u30b0\u3092True<\/code> \u306b\u5207\u308a\u66ff\u3048\u3066\u3044\u307e\u3059\u3002 closing<\/code> \u30d5\u30e9\u30b0\u304c True<\/code> \u306b\u8a2d\u5b9a\u3055\u308c\u308b\u3068\u3001\u30ef\u30fc\u30ab\u30fc\u304c return<\/code> \u3068\u306a\u308a\u3001\u30b3\u30eb\u30fc\u30c1\u30f3\u306e\u7121\u9650 while<\/code> \u30eb\u30fc\u30d7\u304c\u7d42\u4e86\u3057\u307e\u3059\u3002<\/p>\n
Python \u306e threading<\/code> \u306e\u4ed5\u7d44\u307f<\/h3>\n
\u4e0a\u8a18\u306e\u4f8b\u3067\u306f\u3001I\/O \u30d0\u30a6\u30f3\u30c9\u306e\u30bf\u30b9\u30af\u3092\u5225\u306e\u30b9\u30ec\u30c3\u30c9\u306b\u5165\u308c\u307e\u3057\u305f\u3002 \u3059\u3079\u3066\u306e\u30bf\u30b9\u30af\u3092\u5225\u3005\u306e\u30b9\u30ec\u30c3\u30c9\u306b\u5165\u308c\u3001\u305d\u308c\u3089\u3092\u540c\u6642\u306b\u5b9f\u884c\u3067\u304d\u308b\u306e\u3067\u306f\u306a\u3044\u304b\u3068\u601d\u3046\u306e\u3067\u306f\u306a\u3044\u3067\u3057\u3087\u3046\u304b\u3002 asyncio<\/code> \u306e\u4ee3\u308f\u308a\u306b threading<\/code> \u3092\u4f7f\u7528\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\u4ee5\u4e0b\u306b\u793a\u3059\u30b3\u30fc\u30c9\u3092\u8003\u5bdf\u3057\u307e\u3057\u3087\u3046\u3002\u3053\u306e\u30b3\u30fc\u30c9\u3067\u306f\u5236\u9650\u3092\u8a2d\u3051\u305a\u306b\u8907\u6570\u306e\u30cf\u30f3\u30d0\u30fc\u30ac\u30fc\u3092\u540c\u6642\u306b\u4f5c\u6210\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
import asyncio\n\nimport time\n\nasync def make_burger(order_num):\n\n\u00a0\u00a0\u00a0\u00a0print(f\"Preparing burger #{order_num}...\")\n\n\u00a0\u00a0\u00a0\u00a0await asyncio.sleep(5) # time for making the burger\n\n\u00a0\u00a0\u00a0\u00a0print(f\"Burger made #{order_num}\")\n\nasync def main():\n\n\u00a0\u00a0\u00a0\u00a0order_queue = []\n\n\u00a0\u00a0\u00a0\u00a0for i in range(3):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0order_queue.append(make_burger(i))\n\n\u00a0\u00a0\u00a0\u00a0await asyncio.gather(*(order_queue))\n\nif __name__ == \"__main__\":\n\n\u00a0\u00a0\u00a0\u00a0s = time.perf_counter()\n\n\u00a0\u00a0\u00a0\u00a0asyncio.run(main())\n\n\u00a0\u00a0\u00a0\u00a0elapsed = time.perf_counter() - s\n\n\u00a0\u00a0\u00a0\u00a0print(f\"Orders completed in {elapsed:0.2f} seconds.\")\n\n```\n\nInstead of creating async coroutines to make the burgers, we can just send functions down different threads like this:\n\n```\n\nimport threading\n\nimport time\n\ndef make_burger(order_num):\n\n\u00a0\u00a0\u00a0print(f\"Preparing burger #{order_num}...\")\n\n\u00a0\u00a0\u00a0time.sleep(5) # time for making the burger\n\n\u00a0\u00a0\u00a0print(f\"Burger made #{order_num}\")\n\ndef main():\n\n\u00a0\u00a0\u00a0order_queue = []\n\n\u00a0\u00a0\u00a0for i in range(3):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task = threading.Thread(target=make_burger, args=(i,))\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0order_queue.append(task)\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task.start()\n\n\u00a0\u00a0\u00a0for task in order_queue:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task.join()\n\nif __name__ == \"__main__\":\n\n\u00a0\u00a0\u00a0s = time.perf_counter()\n\n\u00a0\u00a0\u00a0main()\n\n\u00a0\u00a0\u00a0elapsed = time.perf_counter() - s\n\n\u00a0\u00a0\u00a0print(f\"Orders completed in {elapsed:0.2f} seconds.\")<\/pre>\n
main<\/code> \u306e\u6700\u521d\u306e for<\/code> \u30eb\u30fc\u30d7\u3067\u306f\u3001\u30bf\u30b9\u30af\u304c\u5225\u3005\u306e\u30b9\u30ec\u30c3\u30c9\u3067\u4f5c\u6210\u3055\u308c\u3066\u958b\u59cb\u3057\u3066\u3044\u307e\u3059\u3002 2 \u3064\u76ee\u306e for<\/code> \u30eb\u30fc\u30d7\u3067\u306f\u3001\u3059\u3079\u3066\u306e\u30cf\u30f3\u30d0\u30fc\u30ac\u30fc\u304c\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u9032\u884c\u3059\u308b\u524d\u306b\uff08\u3064\u307e\u308a\u3001main<\/code> \u306b\u623b\u308b\u524d\u306b\uff09\u78ba\u5b9f\u306b\u4f5c\u3089\u308c\u308b\u3088\u3046\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\u30b9\u30bf\u30c3\u30d5\u30e1\u30f3\u30d0\u30fc\u304c 2 \u4eba\u3060\u3051\u306e\u5834\u5408\u306f\u3055\u3089\u306b\u8907\u96d1\u3067\u3059\u3002 \u305d\u308c\u305e\u308c\u306e\u30b9\u30bf\u30c3\u30d5\u306f\u30b9\u30ec\u30c3\u30c9\u3067\u8868\u73fe\u3055\u308c\u3001\u3059\u3079\u3066\u306e\u30bf\u30b9\u30af\u304c\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b\u901a\u5e38\u306e\u30ea\u30b9\u30c8\u304b\u3089\u30bf\u30b9\u30af\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002<\/p>\n
import threading\n\nimport time\n\norder_queue = []\n\ndef take_order():\n\n\u00a0\u00a0\u00a0for i in range(3):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0order_queue.append(make_burger(i))\n\ndef make_burger(order_num):\n\n\u00a0\u00a0\u00a0def making_burger():\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"Preparing burger #{order_num}...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0time.sleep(5)\u00a0 # time for making the burger\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"Burger made #{order_num}\")\n\n\u00a0\u00a0\u00a0return making_burger\n\ndef working():\n\n\u00a0\u00a0\u00a0\u00a0\u00a0while len(order_queue) > 0:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"{threading.current_thread().name} is working...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task = order_queue.pop(0)\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task()\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"{threading.current_thread().name} finish task...\")\n\ndef main():\n\n\u00a0\u00a0\u00a0take_order()\n\n\u00a0\u00a0\u00a0staff1 = threading.Thread(target=working, name=\"John\")\n\n\u00a0\u00a0\u00a0staff1.start()\n\n\u00a0\u00a0\u00a0staff2 = threading.Thread(target=working, name=\"Jane\")\n\n\u00a0\u00a0\u00a0staff2.start()\n\n\u00a0\u00a0\u00a0staff1.join()\n\n\u00a0\u00a0\u00a0staff2.join()\n\nif __name__ == \"__main__\":\n\n\u00a0s = time.perf_counter()\n\n\u00a0main()\n\n\u00a0elapsed = time.perf_counter() - s\n\n\u00a0print(f\"Orders completed in {elapsed:0.2f} seconds.\")<\/pre>\n
\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3059\u308b\u3068\u3001\u7a7a\u306e\u30ea\u30b9\u30c8\u304b\u3089\u30bf\u30b9\u30af\u3092\u53d6\u5f97\u3057\u3088\u3046\u3068\u3057\u3066\u3044\u308b\u3068\u3044\u3046\u30a8\u30e9\u30fc\u304c\u3044\u305a\u308c\u304b\u306e\u30b9\u30ec\u30c3\u30c9\u3067\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002 while<\/code> \u30eb\u30fc\u30d7\u306b\u306f task_queue<\/code> \u304c\u7a7a\u3067\u306a\u3044\u5834\u5408\u306b\u306e\u307f\u7d9a\u884c\u3055\u308c\u308b\u6761\u4ef6\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u305d\u306e\u3088\u3046\u306a\u30a8\u30e9\u30fc\u306f\u767a\u751f\u3059\u308b\u7406\u7531\u304c\u5206\u304b\u3089\u306a\u3044\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002 \u305d\u306e\u3088\u3046\u306a\u6761\u4ef6\u3067\u3082\u30a8\u30e9\u30fc\u306b\u306a\u308b\u306e\u306f\u3001\u7af6\u5408\u72b6\u614b\u304c\u767a\u751f\u3057\u3066\u3044\u308b\u305f\u3081\u3067\u3059\u3002<\/p>\n
\u7af6\u5408\u72b6\u614b<\/h3>\n
\u7af6\u5408\u72b6\u614b\u306f\u8907\u6570\u306e\u30b9\u30ec\u30c3\u30c9\u304c\u540c\u3058\u30ea\u30bd\u30fc\u30b9\u3084\u30c7\u30fc\u30bf\u306b\u540c\u6642\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3088\u3046\u3068\u3057\u305f\u5834\u5408\u306b\u767a\u751f\u3057\u3001\u30b7\u30b9\u30c6\u30e0\u306b\u554f\u984c\u3092\u5f15\u304d\u8d77\u3053\u3057\u307e\u3059\u3002 \u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u30ed\u30b8\u30c3\u30af\u3067\u306f\u3001\u30ea\u30bd\u30fc\u30b9\u304c\u30a2\u30af\u30bb\u30b9\u3055\u308c\u308b\u969b\u306e\u30bf\u30a4\u30df\u30f3\u30b0\u3068\u9806\u5e8f\u306f\u91cd\u8981\u3067\u3059\u3002\u307e\u305f\u3001\u5171\u6709\u30c7\u30fc\u30bf\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3066\u5909\u66f4\u3092\u884c\u3046\u8907\u6570\u306e\u30b9\u30ec\u30c3\u30c9\u306e\u30bf\u30a4\u30df\u30f3\u30b0\u3084\u30a4\u30f3\u30bf\u30fc\u30ea\u30fc\u30d6\u3092\u4e88\u6e2c\u3067\u304d\u306a\u3044\u5834\u5408\u3001\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\u30d7\u30ed\u30b0\u30e9\u30e0\u5185\u306e\u7af6\u5408\u72b6\u614b\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u3001task_queue<\/code> \u306b lock \u3092\u5c0e\u5165\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
queue_lock = threading.Lock()<\/pre>\n
working \u3067\u306f\u3001\u30ad\u30e5\u30fc\u306e\u9577\u3055\u3092\u30c1\u30a7\u30c3\u30af\u3057\u3066\u30bf\u30b9\u30af\u3092\u53d6\u5f97\u3059\u308b\u969b\u306b\u30ad\u30e5\u30fc\u3078\u306e\u30a2\u30af\u30bb\u30b9\u6a29\u304c\u3042\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 \u6a29\u9650\u304c\u3042\u3063\u3066\u3082\u3001\u4ed6\u306e\u30b9\u30ec\u30c3\u30c9\u304c\u30ad\u30e5\u30fc\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u306a\u3044\u3088\u3046\u306b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
def working():\n\n\u00a0\u00a0\u00a0while True:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0with queue_lock:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0if len(order_queue) == 0:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0return\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0else:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task = order_queue.pop(0)\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"{threading.current_thread().name} is working...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task()\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"{threading.current_thread().name} finish task...\")\n\n```\n\nBased on what we have learned so far, we can complete our final code with threading like this:\n\n```\n\nimport logging\n\nimport threading\n\nimport time\n\nlogger = logging.getLogger(__name__)\n\nlogging.basicConfig(filename=\"pyburger_threads.log\", level=logging.INFO)\n\nqueue_lock = threading.Lock()\n\ntask_queue = []\n\norder_num = 0\n\nclosing = False\n\ndef take_order():\n\n\u00a0\u00a0\u00a0global order_num, closing\n\n\u00a0\u00a0\u00a0try:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0order_num += 1\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"Taking Order #{order_num:04d}...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"Order burger and fries for order #{order_num:04d}:\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0burger_num = input(\"Number of burgers:\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0for i in range(int(burger_num)):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0with queue_lock:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task_queue.append(make_burger(f\"{order_num:04d}-burger{i:02d}\"))\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0fries_num = input(\"Number of fries:\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0for i in range(int(fries_num)):\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0with queue_lock:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task_queue.append(make_fries(f\"{order_num:04d}-fries{i:02d}\"))\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"Order #{order_num:04d} queued.\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(f\"Order #{order_num:04d} queued, please wait.\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0with queue_lock:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task_queue.append(take_order)\n\n\u00a0\u00a0\u00a0except ValueError:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0print(\"Goodbye!\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(\"Closing down... stop taking orders and finish all tasks.\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0closing = True\n\ndef make_burger(order_num):\n\n\u00a0\u00a0\u00a0def making_burger():\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"Preparing burger #{order_num}...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0time.sleep(5)\u00a0 # time for making the burger\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"Burger made #{order_num}\")\n\n\u00a0\u00a0\u00a0return making_burger\n\ndef make_fries(order_num):\n\n\u00a0\u00a0\u00a0def making_fries():\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"Preparing fried #{order_num}...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0time.sleep(2)\u00a0 # time for making fries\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"Fries made #{order_num}\")\n\n\u00a0\u00a0\u00a0return making_fries\n\ndef working():\n\n\u00a0\u00a0\u00a0while True:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0with queue_lock:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0if len(task_queue) == 0:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0if closing:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0return\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0else:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task = None\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0else:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task = task_queue.pop(0)\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0if task:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"{threading.current_thread().name} is working...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0task()\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0logger.info(f\"{threading.current_thread().name} finish task...\")\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0else:\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0time.sleep(1)\u00a0 # rest\n\ndef main():\n\n\u00a0\u00a0\u00a0print(\"Welcome to Pyburger!\")\n\n\u00a0\u00a0\u00a0logger.info(\"Ready for business!\")\n\n\u00a0\u00a0\u00a0task_queue.append(take_order)\n\n\u00a0\u00a0\u00a0staff1 = threading.Thread(target=working, name=\"John\")\n\n\u00a0\u00a0\u00a0staff1.start()\n\n\u00a0\u00a0\u00a0staff2 = threading.Thread(target=working, name=\"Jane\")\n\n\u00a0\u00a0\u00a0staff2.start()\n\n\u00a0\u00a0\u00a0staff1.join()\n\n\u00a0\u00a0\u00a0staff2.join()\n\n\u00a0\u00a0\u00a0logger.info(\"All tasks finished. Closing now.\")\n\nif __name__ == \"__main__\":\n\n\u00a0\u00a0\u00a0s = time.perf_counter()\n\n\u00a0\u00a0\u00a0main()\n\n\u00a0\u00a0\u00a0elapsed = time.perf_counter() - s\n\n\u00a0\u00a0\u00a0logger.info(f\"Orders completed in {elapsed:0.2f} seconds.\")<\/pre>\n
asyncio<\/code> \u3068 threading<\/code> \u3092\u4f7f\u7528\u3059\u308b 2 \u3064\u306e\u30b3\u30fc\u30c9\u30b9\u30cb\u30da\u30c3\u30c8\u3092\u6bd4\u8f03\u3059\u308b\u3068\u3001\u3069\u3061\u3089\u3082\u540c\u3058\u3088\u3046\u306a\u7d50\u679c\u306b\u306a\u308a\u307e\u3059\u3002 \u3069\u3061\u3089\u306e\u30b9\u30cb\u30da\u30c3\u30c8\u304c\u512a\u308c\u3066\u304a\u308a\u3001\u306a\u305c\u3069\u3061\u3089\u304b\u4e00\u65b9\u3092\u9078\u629e\u3059\u3079\u304d\u306a\u306e\u304b\u304c\u6c17\u306b\u306a\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n
\u5b9f\u969b\u306b\u306f\u3001\u6f5c\u5728\u7684\u306a\u7af6\u5408\u72b6\u614b\u3084\u30c7\u30c3\u30c9\u30ed\u30c3\u30af\u3092\u81ea\u5206\u3067\u51e6\u7406\u3059\u308b\u5fc5\u8981\u304c\u306a\u3044 asyncio<\/code> \u30b3\u30fc\u30c9\u3092\u66f8\u304f\u65b9\u304c\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u3088\u308a\u3082\u7c21\u5358\u3067\u3059\u3002 \u5236\u5fa1\u306f\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u30b3\u30eb\u30fc\u30c1\u30f3\u306b\u3088\u3063\u3066\u6e21\u3055\u308c\u308b\u305f\u3081\u3001\u30ed\u30c3\u30af\u306f\u5fc5\u8981\u3042\u308a\u307e\u305b\u3093\u3002 \u305f\u3060\u3057\u3001Python \u306e\u30b9\u30ec\u30c3\u30c9\u306f\u4e26\u884c\u3057\u3066\u5b9f\u884c\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3057\u304b\u3057\u3001GIL \u304c\u5b58\u5728\u3059\u308b\u305f\u3081\u3001\u307b\u3068\u3093\u3069\u306e\u5834\u5408\u306f\u4e26\u5217\u3067\u306f\u5b9f\u884c\u3055\u308c\u307e\u305b\u3093\u3002 \u3053\u308c\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30d6\u30ed\u30b0\u8a18\u4e8b\u3067 nogil\uff08\u30b9\u30ec\u30c3\u30c9\u30d5\u30ea\u30fc\uff09Python \u306b\u3064\u3044\u3066\u8aac\u660e\u3059\u308b\u969b\u306b\u8a71\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\u4e26\u884c\u6027\u306e\u6d3b\u7528<\/h2>\n
\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3067\u4e26\u884c\u6027\u3092\u5229\u7528\u3057\u305f\u3044\u7406\u7531\u306f\u4f55\u3067\u3057\u3087\u3046\u304b\u3002 \u4e3b\u306a\u7406\u7531\u306e 1 \u3064\u306f\u3001\u30b9\u30d4\u30fc\u30c9\u3067\u3059\u3002 \u4e0a\u8a18\u306e\u3088\u3046\u306b\u3001\u5f85\u6a5f\u6642\u9593\u3092\u77ed\u7e2e\u3067\u304d\u308c\u3070\u30bf\u30b9\u30af\u3092\u3088\u308a\u8fc5\u901f\u306b\u5b8c\u4e86\u3067\u304d\u307e\u3059\u3002 \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3067\u306f\u3055\u307e\u3056\u307e\u306a\u5f85\u6a5f\u51e6\u7406\u304c\u5b58\u5728\u3057\u3001\u305d\u308c\u305e\u308c\u306e\u51e6\u7406\u306b\u5bfe\u3057\u3066\u3055\u307e\u3056\u307e\u306a\u6642\u9593\u7bc0\u7d04\u306e\u624b\u6cd5\u304c\u4f7f\u7528\u3055\u308c\u308b\u50be\u5411\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
I\/O \u30d0\u30a6\u30f3\u30c9\u306e\u30bf\u30b9\u30af<\/h3>\n
\u30bf\u30b9\u30af\u3084\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u5b9f\u884c\u901f\u5ea6\u304c\u4e3b\u306b\u30d5\u30a1\u30a4\u30eb\u3084\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304b\u3089\u306e\u8aad\u307f\u53d6\u308a\u3084\u30e6\u30fc\u30b6\u30fc\u5165\u529b\u306e\u5f85\u6a5f\u306a\u3069\u306e I\/O \u51e6\u7406\u306e\u901f\u5ea6\u306b\u5236\u9650\u3055\u308c\u3066\u3044\u308b\u5834\u5408\u3001\u305d\u306e\u30bf\u30b9\u30af\u3084\u30d7\u30ed\u30b0\u30e9\u30e0\u306f\u5165\u51fa\u529b\uff08I\/O\uff09\u30d0\u30a6\u30f3\u30c9\u3060\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002 I\/O \u51e6\u7406\u306f\u6982\u3057\u3066\u4ed6\u306e CPU \u51e6\u7406\u3088\u308a\u3082\u9045\u3044\u305f\u3081\u3001\u591a\u6570\u306e I\/O \u51e6\u7406\u304c\u767a\u751f\u3059\u308b\u30bf\u30b9\u30af\u306f\u304b\u306a\u308a\u306e\u9577\u6642\u9593\u3092\u8981\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002 \u3053\u306e\u3088\u3046\u306a\u30bf\u30b9\u30af\u306e\u5178\u578b\u7684\u306a\u4f8b\u306b\u306f\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304b\u3089\u306e\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u53d6\u308a\u3001\u30a6\u30a7\u30d6\u30ea\u30af\u30a8\u30b9\u30c8\u306e\u51e6\u7406\u3001\u5927\u304d\u306a\u30d5\u30a1\u30a4\u30eb\u306e\u64cd\u4f5c\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
async\/await<\/code> \u306e\u4e26\u884c\u6027\u3092\u5229\u7528\u3057\u3066\u51e6\u7406\u30b7\u30fc\u30b1\u30f3\u30b9\u306e\u30d6\u30ed\u30c3\u30af\u3092\u89e3\u9664\u3057\u3001\u4ed6\u306e\u30bf\u30b9\u30af\u304c\u5f85\u6a5f\u4e2d\u306b\u51e6\u7406\u3055\u308c\u308b\u3088\u3046\u306b\u3059\u308b\u3053\u3068\u3067\u3001I\/O \u30d0\u30a6\u30f3\u30c9\u306e\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u4e2d\u306e\u5f85\u6a5f\u6642\u9593\u3092\u6700\u9069\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
async\/await<\/code> \u306e\u4e26\u884c\u6027\u306f\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u901a\u4fe1\u3084\u30a6\u30a7\u30d6\u30ea\u30af\u30a8\u30b9\u30c8\u306e\u51e6\u7406\u304c\u5927\u91cf\u306b\u767a\u751f\u3059\u308b\u30a6\u30a7\u30d6\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306a\u3069\u306e\u591a\u304f\u306e Python \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u6069\u6075\u3092\u3082\u305f\u3089\u3057\u307e\u3059\u3002 \u30e6\u30fc\u30b6\u30fc\u304c\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3068\u5bfe\u8a71\u3057\u3066\u3044\u308b\u9593\u306b\u30d0\u30c3\u30af\u30b0\u30e9\u30a6\u30f3\u30c9\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u3068\u3001GUI\uff08\u30b0\u30e9\u30d5\u30a3\u30ab\u30eb\u30e6\u30fc\u30b6\u30fc\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\uff09\u3082 async\/await<\/code> \u306b\u3088\u308b\u4e26\u884c\u6027\u306e\u6069\u6075\u3092\u53d7\u3051\u3089\u308c\u307e\u3059\u3002<\/p>\n
CPU \u30d0\u30a6\u30f3\u30c9\u306e\u30bf\u30b9\u30af<\/h3>\n
\u30bf\u30b9\u30af\u3084\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u5b9f\u884c\u901f\u5ea6\u304c\u4e3b\u306b CPU \u306e\u901f\u5ea6\u306b\u5236\u9650\u3055\u308c\u3066\u3044\u308b\u5834\u5408\u3001\u305d\u306e\u30bf\u30b9\u30af\u3084\u30d7\u30ed\u30b0\u30e9\u30e0\u306f CPU \u30d0\u30a6\u30f3\u30c9\u3060\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002 \u3053\u306e\u3088\u3046\u306a\u30bf\u30b9\u30af\u306e\u5178\u578b\u7684\u306a\u4f8b\u306b\u306f\u3001\u30b5\u30a4\u30ba\u306e\u5909\u66f4\u3084\u7de8\u96c6\u3068\u3044\u3063\u305f\u753b\u50cf\u3084\u52d5\u753b\u306e\u51e6\u7406\u3084\u3001\u884c\u5217\u306e\u64cd\u4f5c\u3084\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u3044\u3063\u305f\u8907\u96d1\u306a\u6570\u5b66\u8a08\u7b97\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
CPU \u306f\u5143\u3005\u8907\u6570\u306e\u30bf\u30b9\u30af\u3092\u51e6\u7406\u3057\u3066\u3044\u308b\u305f\u3081\u3001CPU \u30d0\u30a6\u30f3\u30c9\u306e\u30bf\u30b9\u30af\u306f I\/O \u30d0\u30a6\u30f3\u30c9\u306e\u30bf\u30b9\u30af\u306e\u3088\u3046\u306b async\/await<\/code> \u306b\u3088\u308b\u4e26\u884c\u6027\u3092\u5229\u7528\u3057\u305f\u6700\u9069\u5316\u306f\u307b\u307c\u4e0d\u53ef\u80fd\u3067\u3059\u3002 \u3053\u306e\u3088\u3046\u306a CPU \u30d0\u30a6\u30f3\u30c9\u306e\u30bf\u30b9\u30af\u306f\u3001\u30de\u30b7\u30f3\u306b\u8907\u6570\u306e CPU \u304c\u642d\u8f09\u3055\u308c\u3066\u3044\u308b\u5834\u5408\u3084\u3001\u30bf\u30b9\u30af\u306e\u4e00\u90e8\u3092 1 \u3064\u4ee5\u4e0a\u306e GPU \u306b\u30aa\u30d5\u30ed\u30fc\u30c9\u3067\u304d\u308b\u5834\u5408\u306f\u3001\u3055\u3089\u306b\u30b9\u30ec\u30c3\u30c9\u3092\u4f5c\u6210\u3057\u3066\u30de\u30eb\u30c1\u30d7\u30ed\u30bb\u30b9\u51e6\u7406\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u3067\u3088\u308a\u8fc5\u901f\u306b\u5b8c\u4e86\u3067\u304d\u307e\u3059\u3002 \u30de\u30eb\u30c1\u30d7\u30ed\u30bb\u30b9\u51e6\u7406\u306f\u3001\u3053\u306e\u3088\u3046\u306a CPU \u3084 GPU \u306e\u4f7f\u7528\u65b9\u6cd5\u3092\u6700\u9069\u5316\u3067\u304d\u307e\u3059\u3002\u6700\u8fd1\u306e\u591a\u304f\u306e\u6a5f\u68b0\u5b66\u7fd2\u3084 AI \u30e2\u30c7\u30eb\u306f\u8907\u6570\u306e GPU \u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u3066\u3044\u308b\u306e\u3082\u3001\u3053\u308c\u304c\u7406\u7531\u3067\u3059\u3002<\/p>\n
\u305f\u3060\u3057\u3001\u7d14\u7c8b\u306a Python \u30b3\u30fc\u30c9\u3067\u3053\u308c\u3092\u5b9f\u884c\u3059\u308b\u306e\u306f\u56f0\u96e3\u3067\u3059\u3002Python \u81ea\u4f53\u304c\u62bd\u8c61\u30ec\u30a4\u30e4\u30fc\u3092\u63d0\u4f9b\u3057\u3066\u304a\u308a\u3001\u30e6\u30fc\u30b6\u30fc\u304c\u4e0b\u4f4d\u8a08\u7b97\u30d7\u30ed\u30bb\u30b9\u3092\u5236\u5fa1\u3059\u308b\u5fc5\u8981\u304c\u306a\u3044\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3067\u3059\u3002 \u3055\u3089\u306b\u3001Python \u306e GIL \u304c Python \u30ea\u30bd\u30fc\u30b9\u3092\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u4e0a\u306e\u8907\u6570\u306e\u30b9\u30ec\u30c3\u30c9\u3067\u5171\u6709\u3059\u308b\u3053\u3068\u3092\u5236\u9650\u3057\u3066\u3044\u307e\u3059\u3002 \u6700\u8fd1\u3001Python 3.13 \u306b\u3088\u3063\u3066 GIL \u3092\u53d6\u308a\u9664\u304f\u3053\u3068\u304c\u53ef\u80fd\u306b\u306a\u308a\u3001\u672c\u6765\u306e\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3057\u305f\u3002 GIL \u81ea\u4f53\u3068 GIL \u306a\u3057\u3067\u51e6\u7406\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u56de\u306e\u30d6\u30ed\u30b0\u8a18\u4e8b\u3067\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n
\u524d\u8ff0\u306e\u3069\u306e\u624b\u6cd5\u3067\u3082 CPU \u30d0\u30a6\u30f3\u30c9\u306e\u30bf\u30b9\u30af\u3092\u5341\u5206\u306b\u9ad8\u901f\u5316\u3067\u304d\u306a\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002 \u305d\u306e\u3088\u3046\u306a\u5834\u5408\u306f CPU \u30d0\u30a6\u30f3\u30c9\u306e\u30bf\u30b9\u30af\u3092\u3088\u308a\u5c0f\u3055\u306a\u30bf\u30b9\u30af\u306b\u5206\u89e3\u3057\u3001\u8907\u6570\u306e\u30b9\u30ec\u30c3\u30c9\u3001\u8907\u6570\u306e\u30d7\u30ed\u30bb\u30c3\u30b5\u3001\u3055\u3089\u306b\u306f\u8907\u6570\u306e\u30de\u30b7\u30f3\u3067\u305d\u308c\u3089\u306e\u30bf\u30b9\u30af\u3092\u540c\u6642\u306b\u5b9f\u884c\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002 \u305d\u308c\u306f\u4e26\u5217\u51e6\u7406\u3068\u306a\u308b\u305f\u3081\u3001\u30b3\u30fc\u30c9\u3092\u5b8c\u5168\u306b\u66f8\u304d\u76f4\u3057\u3066\u5b9f\u88c5\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002 Python \u306e multiprocessing<\/code> \u30d1\u30c3\u30b1\u30fc\u30b8\u306f\u30ed\u30fc\u30ab\u30eb\u3068\u30ea\u30e2\u30fc\u30c8\u306e\u4e21\u65b9\u306e\u4e26\u884c\u6027\u304c\u63d0\u4f9b\u3057\u3066\u3044\u308b\u305f\u3081\u3001GIL \u306e\u5236\u9650\u3092\u56de\u907f\u3059\u308b\u305f\u3081\u306e\u624b\u6bb5\u3068\u3057\u3066\u5229\u7528\u3067\u304d\u307e\u3059\u3002 \u305d\u306e\u3044\u304f\u3064\u304b\u306e\u4f8b\u306b\u3064\u3044\u3066\u3082\u3001\u6b21\u306e\u30d6\u30ed\u30b0\u8a18\u4e8b\u3067\u3054\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n
PyCharm \u3067\u4e26\u884c\u51e6\u7406\u30b3\u30fc\u30c9\u3092\u30c7\u30d0\u30c3\u30b0\u3059\u308b<\/h2>\n
\u975e\u540c\u671f\u30b3\u30fc\u30c9\u3084\u4e26\u884c\u51e6\u7406\u30b3\u30fc\u30c9\u306e\u30c7\u30d0\u30c3\u30b0\u306f\u56f0\u96e3\u306a\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u9010\u6b21\u7684\u306b\u5b9f\u884c\u3055\u308c\u305a\u3001\u30b3\u30fc\u30c9\u306e\u5b9f\u884c\u7b87\u6240\u3068\u30bf\u30a4\u30df\u30f3\u30b0\u3092\u628a\u63e1\u3059\u308b\u306e\u304c\u96e3\u3057\u3044\u305f\u3081\u3067\u3059\u3002 \u591a\u304f\u306e\u958b\u767a\u8005\u306f print<\/code> \u3092\u4f7f\u7528\u3057\u3066\u30b3\u30fc\u30c9\u306e\u6d41\u308c\u3092\u8ffd\u8de1\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u3053\u306e\u3084\u308a\u65b9\u306f\u304a\u52e7\u3081\u3067\u304d\u307e\u305b\u3093\u3002\u975e\u5e38\u306b\u4e0d\u683c\u597d\u3067\u3042\u308a\u3001\u4e26\u884c\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u3088\u3046\u306a\u8907\u96d1\u306a\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u8abf\u67fb\u306b\u4f7f\u7528\u3059\u308b\u306e\u306f\u7c21\u5358\u3067\u306f\u306a\u3044\u305f\u3081\u3067\u3059\u3002 \u307e\u305f\u3001\u5f8c\u7247\u4ed8\u3051\u3082\u9762\u5012\u3067\u3059\u3002<\/p>\n
\u591a\u304f\u306e IDE \u306b\u306f\u3001\u5909\u6570\u3084\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u6d41\u308c\u3092\u691c\u67fb\u3059\u308b\u306e\u306b\u4fbf\u5229\u306a\u30c7\u30d0\u30c3\u30ac\u30fc\u304c\u5099\u308f\u3063\u3066\u3044\u307e\u3059\u3002 \u307e\u305f\u3001\u30c7\u30d0\u30c3\u30ac\u30fc\u3067\u306f\u8907\u6570\u306e\u30b9\u30ec\u30c3\u30c9\u3092\u5bfe\u8c61\u3068\u3059\u308b\u30b9\u30bf\u30c3\u30af\u30c8\u30ec\u30fc\u30b9\u304c\u5206\u304b\u308a\u3084\u3059\u304f\u8868\u793a\u3055\u308c\u307e\u3059\u3002 \u3053\u306e\u30d0\u30fc\u30ac\u30fc\u30b7\u30e7\u30c3\u30d7\u306e\u4f8b\u306e task_queue<\/code> \u3092 PyCharm<\/a> \u3067\u3069\u306e\u3088\u3046\u306b\u8ffd\u8de1\u3067\u304d\u308b\u304b\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
\u307e\u305a\u3001\u30b3\u30fc\u30c9\u5185\u306b\u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u3092\u3044\u304f\u3064\u304b\u8a2d\u5b9a\u3057\u307e\u3059\u3002 \u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u3092\u8a2d\u5b9a\u3059\u308b\u306b\u306f\u3001\u30c7\u30d0\u30c3\u30ac\u30fc\u3092\u505c\u6b62\u3055\u305b\u305f\u3044\u884c\u306e\u884c\u756a\u53f7\u3092\u30af\u30ea\u30c3\u30af\u3057\u307e\u3059\u3002 \u884c\u756a\u53f7\u304c\u8d64\u3044\u70b9\u306b\u5909\u308f\u308b\u3068\u3001\u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u304c\u8a2d\u5b9a\u3055\u308c\u305f\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002 task_queue<\/code> \u304c\u5225\u3005\u306e\u30b9\u30ec\u30c3\u30c9\u3067\u5909\u66f4\u3055\u308c\u308b 23 \u884c\u76ee\u300127 \u884c\u76ee\u300165 \u884c\u76ee\u306b\u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
\"\"<\/figure>\n
\u305d\u306e\u5f8c\u3001\u53f3\u4e0a\u306b\u3042\u308b\u5c0f\u3055\u306a\u866b\u306e\u30a2\u30a4\u30b3\u30f3\u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u30c7\u30d0\u30c3\u30b0\u30e2\u30fc\u30c9\u3067\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
\u30a2\u30a4\u30b3\u30f3\u3092\u30af\u30ea\u30c3\u30af\u3059\u308b\u3068\u3001Debug<\/em>\uff08\u30c7\u30d0\u30c3\u30b0\uff09\u30a6\u30a3\u30f3\u30c9\u30a6\u304c\u958b\u304d\u307e\u3059\u3002 \u30b3\u30fc\u30c9\u5185\u3067\u30cf\u30a4\u30e9\u30a4\u30c8\u3055\u308c\u3066\u3044\u308b\u6700\u521d\u306e\u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u306b\u5230\u9054\u3059\u308b\u307e\u3067\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u5b9f\u884c\u3055\u308c\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
\u3053\u3053\u3067\u306f\u3001John<\/code> \u30b9\u30ec\u30c3\u30c9\u304c\u30bf\u30b9\u30af\u3092\u53d6\u5f97\u3057\u3088\u3046\u3068\u3057\u3066\u304a\u308a\u300165 \u884c\u76ee\u304c\u30cf\u30a4\u30e9\u30a4\u30c8\u3055\u308c\u3066\u3044\u308b\u306e\u304c\u5206\u304b\u308a\u307e\u3059\u3002 \u3053\u306e\u6642\u70b9\u3067\u306f\u3001\u30cf\u30a4\u30e9\u30a4\u30c8\u3055\u308c\u305f\u884c\u306f\u307e\u3060\u5b9f\u884c\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002 \u3053\u308c\u306f\u3001\u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u306b\u5230\u9054\u3059\u308b\u524d\u306b\u5909\u6570\u3092\u691c\u67fb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u5834\u5408\u306b\u4fbf\u5229\u3067\u3059\u3002<\/p>\n
\u3067\u306f\u3001task_queue<\/code> \u306e\u4e2d\u3092\u691c\u67fb\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002 Debug<\/em>\uff08\u30c7\u30d0\u30c3\u30b0\uff09\u30a6\u30a3\u30f3\u30c9\u30a6\u3067\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u5165\u529b\u3092\u958b\u59cb\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\"\"<\/figure>\n
\u300ctask_queue\u300d\u3092\u9078\u629e\u3059\u308b\u304b\u5165\u529b\u3057\u3001Enter<\/em> \u3092\u62bc\u3057\u307e\u3059\u3002 take_order<\/code> \u30bf\u30b9\u30af\u304c\u30ad\u30e5\u30fc\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b\u306e\u304c\u5206\u304b\u308a\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
\u6b21\u306b\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b Step in<\/em>\uff08\u30b9\u30c6\u30c3\u30d7\u5b9f\u884c\uff09\u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u3092\u5b9f\u884c\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\"\"<\/figure>\n
\u305d\u308c\u3092\u30af\u30ea\u30c3\u30af\u3057\u305f\u5f8c\u306b\u30dd\u30c3\u30d7\u30a2\u30c3\u30d7\u8868\u793a\u3055\u308c\u308b Special Variables<\/em>\uff08\u7279\u6b8a\u5909\u6570\uff09\u30a6\u30a3\u30f3\u30c9\u30a6\u3092\u8abf\u3079\u308b\u3068\u3001\u30bf\u30b9\u30af\u5909\u6570\u304c John<\/code> \u30b9\u30ec\u30c3\u30c9\u3067 take_order<\/code> \u3068\u306a\u3063\u3066\u3044\u308b\u3053\u3068\u304c\u5206\u304b\u308a\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
\u3082\u3046\u4e00\u5ea6 task_queue<\/code> \u3092\u691c\u7d22\u3059\u308b\u3068\u3001\u30ea\u30b9\u30c8\u304c\u7a7a\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
\u3067\u306f\u3001Resume Program<\/em>\uff08\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u518d\u958b\uff09\u30dc\u30bf\u30f3\u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u884c\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n
\"\"<\/figure>\n
\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u30e6\u30fc\u30b6\u30fc\u5165\u529b\u90e8\u5206\u306b\u5230\u9054\u3059\u308b\u3068\u3001PyCharm \u3067 Console <\/em>\uff08\u30b3\u30f3\u30bd\u30fc\u30eb\uff09\u30a6\u30a3\u30f3\u30c9\u30a6\u304c\u958b\u304d\u3001\u305d\u3053\u306b\u5165\u529b\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002 \u30cf\u30f3\u30d0\u30fc\u30ac\u30fc\u3092 2 \u500b\u6ce8\u6587\u3059\u308b\u3068\u3057\u307e\u3057\u3087\u3046\u3002 \u300c2\u300d\u3068\u5165\u529b\u3057\u3066 Enter<\/em> \u3092\u62bc\u3057\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
2 \u3064\u76ee\u306e\u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u306b\u5230\u9054\u3057\u307e\u3057\u305f\u3002 Threads & Variables<\/em>\uff08\u30b9\u30ec\u30c3\u30c9\u3068\u5909\u6570\uff09\u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u305d\u306e\u30a6\u30a3\u30f3\u30c9\u30a6\u306b\u623b\u308b\u3068\u3001\u5165\u529b\u3057\u305f\u3068\u304a\u308a\u306b burger_num<\/code> \u304c\u300c2\u300d\u306b\u306a\u3063\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
\u6b21\u306b\u3001\u524d\u56de\u3068\u540c\u69d8\u306b\u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u306b\u30b9\u30c6\u30c3\u30d7\u30a4\u30f3\u3057\u3066 task_queue<\/code> \u3092\u8abf\u3079\u307e\u3057\u3087\u3046\u3002 make_burger<\/code> \u30bf\u30b9\u30af\u304c 1 \u3064\u8ffd\u52a0\u3055\u308c\u305f\u3053\u3068\u304c\u5206\u304b\u308a\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
\u3082\u3046\u4e00\u5ea6\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u884c\u3057\u3001\u505c\u6b62\u3057\u305f\u6642\u70b9\u3067\u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u306b\u30b9\u30c6\u30c3\u30d7\u30a4\u30f3\u3059\u308b\u3068\u3001Jane<\/code> \u304c\u30bf\u30b9\u30af\u3092\u53d6\u5f97\u3057\u3066\u3044\u308b\u306e\u304c\u5206\u304b\u308a\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
\u6b8b\u308a\u306e\u30b3\u30fc\u30c9\u306f\u3054\u81ea\u8eab\u3067\u8abf\u3079\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002 \u4f5c\u696d\u304c\u5b8c\u4e86\u3057\u305f\u3089\u3001\u30a6\u30a3\u30f3\u30c9\u30a6\u306e\u4e0a\u306b\u3042\u308b Stop<\/em>\uff08\u505c\u6b62\uff09\u30dc\u30bf\u30f3\u3092\u62bc\u3057\u307e\u3059\u3002<\/p>\n
\"\"<\/figure>\n
PyCharm \u306e\u30c7\u30d0\u30c3\u30ac\u30fc\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u8907\u6570\u306e\u7570\u306a\u308b\u30b9\u30ec\u30c3\u30c9\u306b\u308f\u305f\u3063\u3066\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u5b9f\u884c\u3092\u8ffd\u8de1\u3057\u3001\u8907\u6570\u306e\u7570\u306a\u308b\u5909\u6570\u3092\u975e\u5e38\u306b\u7c21\u5358\u306b\u8abf\u3079\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
\u307e\u3068\u3081<\/h2>\n
Python \u306b\u304a\u3051\u308b\u4e26\u884c\u6027\u306e\u57fa\u672c\u3092\u5b66\u7fd2\u3057\u305f\u306e\u3067\u3001\u5f8c\u306f\u5b9f\u8df5\u3092\u901a\u3058\u3066\u7fd2\u5f97\u3057\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002 \u6b21\u306e\u30d6\u30ed\u30b0\u8a18\u4e8b\u3067\u306f\u3001Python GIL\u3001\u305d\u306e\u5f79\u5272\u3001\u304a\u3088\u3073 GIL \u304c\u5b58\u5728\u3057\u306a\u3044\u5834\u5408\u306e\u5f71\u97ff\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n
PyCharm \u306b\u306f\u3001Python \u306e\u4e26\u884c\u51e6\u7406\u30b3\u30fc\u30c9\u3092\u64cd\u4f5c\u3059\u308b\u305f\u3081\u306e\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u304c\u5099\u308f\u3063\u3066\u3044\u307e\u3059\u3002 \u3053\u306e\u30d6\u30ed\u30b0\u8a18\u4e8b\u3067\u3054\u89a7\u306b\u5165\u308c\u305f\u3088\u3046\u306b\u3001\u30c7\u30d0\u30c3\u30ac\u30fc\u3067\u306f\u975e\u540c\u671f\u30b3\u30fc\u30c9\u3068\u30b9\u30ec\u30c3\u30c9\u30b3\u30fc\u30c9\u306e\u4e21\u65b9\u3092\u30b9\u30c6\u30c3\u30d7\u5358\u4f4d\u3067\u8abf\u3079\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u305f\u3081\u3001\u5b9f\u884c\u306e\u6d41\u308c\u3092\u8ffd\u8de1\u3057\u3001\u5171\u6709\u30ea\u30bd\u30fc\u30b9\u3092\u76e3\u8996\u3057\u3001\u554f\u984c\u3092\u691c\u51fa\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 PyCharm \u306b\u306f\u76f4\u611f\u7684\u306a\u30d6\u30ec\u30fc\u30af\u30dd\u30a4\u30f3\u30c8\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u5909\u6570\u30d3\u30e5\u30fc\u3001\u30e6\u30fc\u30b6\u30fc\u5165\u529b\u7528\u306e\u30b7\u30fc\u30e0\u30ec\u30b9\u306a\u30b3\u30f3\u30bd\u30fc\u30eb\u306e\u7d71\u5408\u3001\u304a\u3088\u3073\u5805\u7262\u306a\u30ed\u30b0\u8a18\u9332\u306e\u30b5\u30dd\u30fc\u30c8\u304c\u5099\u308f\u3063\u3066\u304a\u308a\u3001\u4fe1\u983c\u6027\u304c\u9ad8\u304f\u5206\u304b\u308a\u3084\u3059\u3044\u305f\u3081\u3001\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u3088\u308a\u7c21\u5358\u306b\u4f5c\u6210\u3001\u30c6\u30b9\u30c8\u3001\u30c7\u30d0\u30c3\u30b0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
\u4eca\u3059\u3050 PyCharm \u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/a><\/div>\n<\/div>\n\n\n
\u30aa\u30ea\u30b8\u30ca\u30eb\uff08\u82f1\u8a9e\uff09\u30d6\u30ed\u30b0\u6295\u7a3f\u8a18\u4e8b\u306e\u4f5c\u8005\uff1a<\/strong><\/p>\n\n\n    
\n        
\n            
\n                
\n                    \"Cheuk\n                <\/div>\n                
\n                                            
Cheuk Ting Ho<\/h4>\n                                                        <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n","protected":false},"author":1528,"featured_media":593962,"comment_status":"closed","ping_status":"closed","template":"","categories":[1401,2347,8377],"tags":[6939,5377],"cross-post-tag":[],"acf":[],"_links":{"self":[{"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/pycharm\/593958"}],"collection":[{"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/pycharm"}],"about":[{"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/types\/pycharm"}],"author":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/users\/1528"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/comments?post=593958"}],"version-history":[{"count":8,"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/pycharm\/593958\/revisions"}],"predecessor-version":[{"id":593991,"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/pycharm\/593958\/revisions\/593991"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/media\/593962"}],"wp:attachment":[{"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/media?parent=593958"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/categories?post=593958"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/tags?post=593958"},{"taxonomy":"cross-post-tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/ja\/wp-json\/wp\/v2\/cross-post-tag?post=593958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}