\u3053\u306e\u30d6\u30ed\u30b0\u9023\u8f09\u8a18\u4e8b\u306e\u30d1\u30fc\u30c8 1<\/a> \u3067\u898b\u305f\u975e\u540c\u671f\u306e\u30d0\u30fc\u30ac\u30fc\u30b7\u30e7\u30c3\u30d7\u3092\u601d\u3044\u51fa\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
import asyncio\n\nimport time\n\nasync def make_burger(order_num):\n\n print(f\"Preparing burger #{order_num}...\")\n\n await asyncio.sleep(5) # time for making the burger\n\n print(f\"Burger made #{order_num}\")\n\nasync def main():\n\n order_queue = []\n\n for i in range(3):\n\n order_queue.append(make_burger(i))\n\n await asyncio.gather(*(order_queue))\n\nif __name__ == \"__main__\":\n\n s = time.perf_counter()\n\n asyncio.run(main())\n\n elapsed = time.perf_counter() - s\n\n print(f\"Orders completed in {elapsed:0.2f} seconds.\")\n<\/pre>\n\u3053\u308c\u3068\u540c\u3058\u51e6\u7406\u3092\u4ee5\u4e0b\u306e\u3088\u3046\u306b multiprocessing \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u5b9f\u73fe\u3067\u304d\u307e\u3059\u3002<\/p>\n
import multiprocessing\n\n\nimport time\n\n\ndef make_burger(order_num):\n\n\n print(f\"Preparing burger #{order_num}...\")\n\n\n time.sleep(5) # time for making the burger\n\n\n print(f\"Burger made #{order_num}\")\n\n\n\n\nif __name__ == \"__main__\":\n\n\n print(\"Number of available CPU:\", multiprocessing.cpu_count())\n\n\n\n\n s = time.perf_counter()\n\n\n all_processes = []\n\n\n for i in range(3):\n process = multiprocessing.Process(target=make_burger, args=(i,))\n process.start()\n all_processes.append(process)\n\n\n for process in all_processes:\n process.join()\n\n\n elapsed = time.perf_counter() - s\n\n\n print(f\"Orders completed in {elapsed:0.2f} seconds.\")\n<\/pre>\n\u3054\u5b58\u77e5\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u304c\u3001multiprocessing \u306e\u591a\u304f\u306e\u30e1\u30bd\u30c3\u30c9\u306f threading \u306b\u975e\u5e38\u306b\u3088\u304f\u4f3c\u3066\u3044\u307e\u3059\u3002 multiprocessing \u3067\u306e\u9055\u3044\u3092\u78ba\u8a8d\u3059\u308b\u305f\u3081\u3001\u3088\u308a\u8907\u96d1\u306a\u30e6\u30fc\u30b9\u30b1\u30fc\u30b9\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
import multiprocessing\nimport time\nimport queue\n\n\n\n\ndef make_burger(order_num, item_made):\n name = multiprocessing.current_process().name\n print(f\"{name} is preparing burger #{order_num}...\")\n time.sleep(5) # time for making burger\n item_made.put(f\"Burger #{order_num}\")\n print(f\"Burger #{order_num} made by {name}\")\n\n\n\n\ndef make_fries(order_num, item_made):\n name = multiprocessing.current_process().name\n print(f\"{name} is preparing fries #{order_num}...\")\n time.sleep(2) # time for making fries\n item_made.put(f\"Fries #{order_num}\")\n print(f\"Fries #{order_num} made by {name}\")\n\n\n\n\ndef working(task_queue, item_made, order_num, lock):\n break_count = 0\n name = multiprocessing.current_process().name\n while True:\n try:\n task = task_queue.get_nowait()\n except queue.Empty:\n print(f\"{name} has nothing to do...\")\n if break_count > 1:\n break # stop if idle for too long\n else:\n break_count += 1\n time.sleep(1)\n else:\n lock.acquire()\n try:\n current_num = order_num.value\n order_num.value = current_num + 1\n finally:\n lock.release()\n task(current_num, item_made)\n break_count = 0\n\n\n\n\nif __name__ == \"__main__\":\n\n\n print(\"Welcome to Pyburger! Please place your order.\")\n\n\n burger_num = input(\"Number of burgers:\")\n fries_num = input(\"Number of fries:\")\n\n\n s = time.perf_counter()\n\n\n task_queue = multiprocessing.Queue()\n item_made = multiprocessing.Queue()\n order_num = multiprocessing.Value(\"i\", 0)\n lock = multiprocessing.Lock()\n\n\n for i in range(int(burger_num)):\n task_queue.put(make_burger)\n for i in range(int(fries_num)):\n task_queue.put(make_fries)\n\n\n staff1 = multiprocessing.Process(\n target=working,\n name=\"John\",\n args=(\n task_queue,\n item_made,\n order_num,\n lock,\n ),\n )\n staff2 = multiprocessing.Process(\n target=working,\n name=\"Jane\",\n args=(\n task_queue,\n item_made,\n order_num,\n lock,\n ),\n )\n\n\n staff1.start()\n staff2.start()\n\n\n staff1.join()\n staff2.join()\n\n\n print(\"All tasks finished. Closing now.\")\n print(\"Items created are:\")\n\n\n while not item_made.empty():\n print(item_made.get())\n\n\n elapsed = time.perf_counter() - s\n\n\n print(f\"Orders completed in {elapsed:0.2f} seconds.\")\n<\/pre>\n\u6b21\u306e\u3088\u3046\u306a\u51fa\u529b\u304c\u5f97\u3089\u308c\u307e\u3059\u3002<\/p>\n
Welcome to Pyburger! Please place your order.\nNumber of burgers:3\nNumber of fries:2\nJane has nothing to do...\nJohn is preparing burger #0...\nJane is preparing burger #1...\nBurger #0 made by John\nJohn is preparing burger #2...\nBurger #1 made by Jane\nJane is preparing fries #3...\nFries #3 made by Jane\nJane is preparing fries #4...\nBurger #2 made by John\nJohn has nothing to do...\nFries #4 made by Jane\nJane has nothing to do...\nJohn has nothing to do...\nJane has nothing to do...\nJohn has nothing to do...\nJane has nothing to do...\nAll tasks finished. Closing now.\nItems created are:\nBurger #0\nBurger #1\nFries #3\nBurger #2\nFries #4\nOrders completed in 12.21 seconds.\n<\/pre>\nmultiprocessing \u306b\u306f\u3044\u304f\u3064\u304b\u306e\u5236\u9650\u304c\u3042\u308a\u3001\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u306f\u305d\u308c\u3092\u7406\u7531\u306b\u3053\u306e\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002 \u305d\u308c\u3067\u306f\u30011 \u3064\u305a\u3064\u8aac\u660e\u3057\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n
\u307e\u305a\u3001\u6b63\u3057\u3044 order_num \u3067\u95a2\u6570\u3092\u751f\u6210\u3059\u308b make_burger \u95a2\u6570\u3068 make_fries \u95a2\u6570\u304c\u3042\u3063\u305f\u3053\u3068\u3092\u601d\u3044\u51fa\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
def make_burger(order_num):\n def making_burger():\n logger.info(f\"Preparing burger #{order_num}...\")\n time.sleep(5) # time for making burger\n logger.info(f\"Burger made #{order_num}\")\n\n\n return making_burger\n\n\n\n\ndef make_fries(order_num):\n def making_fries():\n logger.info(f\"Preparing fries #{order_num}...\")\n time.sleep(2) # time for making fries\n logger.info(f\"Fries made #{order_num}\")\n\n\n return making_fries\n<\/pre>\nmultiprocessing \u3092\u4f7f\u7528\u3059\u308b\u9650\u308a\u3001\u540c\u3058\u3053\u3068\u306f\u884c\u3048\u307e\u305b\u3093\u3002 \u305d\u3046\u3057\u3088\u3046\u3068\u3059\u308b\u3068\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3059\u3002<\/p>\n
AttributeError: Can't get local object 'make_burger..making_burger'<\/pre>\n\u3053\u308c\u306f\u3001multiprocessing \u304c\u6982\u3057\u3066\u30c8\u30c3\u30d7\u30e2\u30b8\u30e5\u30fc\u30eb\u30ec\u30d9\u30eb\u306e\u95a2\u6570\u3057\u304b\u30b7\u30ea\u30a2\u30eb\u5316\u3067\u304d\u306a\u3044 pickle<\/a> \u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u3053\u3068\u304c\u539f\u56e0\u3067\u3059\u3002 multiprocessing \u306e\u5236\u9650\u306e 1 \u3064\u3067\u3059\u3002<\/p>\n\u6b21\u306b\u3001multiprocessing \u3092\u4f7f\u7528\u3059\u308b\u4e0a\u8a18\u306e\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u7247\u3067\u306f\u5171\u6709\u5bfe\u8c61\u306e\u30c7\u30fc\u30bf\u306b\u30b0\u30ed\u30fc\u30d0\u30eb\u5909\u6570\u3092\u4f7f\u7528\u3057\u3066\u3044\u306a\u3044\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002 \u305f\u3068\u3048\u3070\u3001item_made \u3068 order_num \u306b\u30b0\u30ed\u30fc\u30d0\u30eb\u5909\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002 \u7570\u306a\u308b\u30d7\u30ed\u30bb\u30b9\u9593\u3067\u30c7\u30fc\u30bf\u3092\u5171\u6709\u3059\u308b\u306b\u306f\u3001multiprocessing \u30e9\u30a4\u30d6\u30e9\u30ea\u306e Queue \u3084 Value \u306a\u3069\u306e\u7279\u5225\u306a\u30af\u30e9\u30b9\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u4f7f\u7528\u3055\u308c\u3001\u5f15\u6570\u3068\u3057\u3066\u30d7\u30ed\u30bb\u30b9\u306b\u6e21\u3055\u308c\u307e\u3059\u3002
\u30d7\u30ed\u30bb\u30b9\u9593\u3067\u306e\u30c7\u30fc\u30bf\u3068\u72b6\u614b\u306e\u5171\u6709\u306f\u3001\u4e00\u822c\u7684\u306b\u306f\u63a8\u5968\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002\u305d\u308c\u306b\u3088\u308a\u3001\u591a\u304f\u306e\u554f\u984c\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3067\u3059\u3002 \u4e0a\u8a18\u306e\u4f8b\u3067\u306f\u3001Lock \u3092\u4f7f\u7528\u3057\u3066 order_num \u306e\u5024\u304c\u4e00\u5ea6\u306b 1 \u3064\u306e\u30d7\u30ed\u30bb\u30b9\u306b\u3088\u3063\u3066\u306e\u307f\u30a2\u30af\u30bb\u30b9\u3055\u308c\u3001\u5897\u5206\u3055\u308c\u308b\u3088\u3046\u306b\u3057\u3066\u3044\u307e\u3059\u3002 Lock \u3092\u4f7f\u7528\u3057\u306a\u3044\u5834\u5408\u3001\u5546\u54c1\u306e\u6ce8\u6587\u756a\u53f7\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u4e71\u96d1\u306b\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
Items created are:\n\nBurger #0\nBurger #0\nFries #2\nBurger #1\nFries #3\n<\/pre>\n\u4ee5\u4e0b\u306e\u3088\u3046\u306b lock \u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u3053\u306e\u554f\u984c\u3092\u56de\u907f\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
lock.acquire()\n try:\n current_num = order_num.value\n order_num.value = current_num + 1\n finally:\n lock.release()\n task(current_num, item_made)\n<\/pre>\nmultiprocessing \u6a19\u6e96\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u4f7f\u7528\u65b9\u6cd5\u306b\u3064\u3044\u3066\u306e\u8a73\u7d30\u306f\u3001\u3053\u3061\u3089\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a>\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\nGIL \u306e\u6392\u9664<\/h2>\n
GIL \u306e\u6392\u9664\u306f\u7d04 10 \u5e74\u9593\u306b\u308f\u305f\u3063\u3066\u8b70\u8ad6\u3055\u308c\u3066\u304d\u307e\u3057\u305f\u3002 2016 \u5e74\u306e Python Language Summit \u3067\u306f\u3001Larry Hastings \u304c CPython \u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u3067\u300cGIL \u306e\u5ec3\u6b62\u300d\u3092\u5b9f\u884c\u3059\u308b\u8003\u3048\u3068\u305d\u306e\u69cb\u60f3\u306e\u9032\u6357\u3092\u767a\u8868\u3057\u307e\u3057\u305f[1]\u3002 \u3053\u308c\u306f Python \u306e GIL \u3092\u6392\u9664\u3059\u308b\u5148\u99c6\u7684\u306a\u8a66\u307f\u3067\u3057\u305f\u3002 2021 \u5e74 \u306b\u306f Sam Gross \u304c GIL \u306e\u6392\u9664\u306b\u95a2\u3059\u308b\u8b70\u8ad6\u306b\u518d\u3073\u706b\u3092\u3064\u3051[2]\u3001\u3053\u308c\u304c 2023 \u5e74\u306e PEP 703 \u2013 Making the Global Interpreter Lock Optional in CPython<\/a>\uff08CPython \u3067\u30b0\u30ed\u30fc\u30d0\u30eb\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u30ed\u30c3\u30af\u3092\u30aa\u30d7\u30b7\u30e7\u30f3\u306b\u3059\u308b\uff09\u306e\u304d\u3063\u304b\u3051\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n\u3053\u306e\u3088\u3046\u306b\u3001GIL \u306e\u6392\u9664\u306f\u6c7a\u3057\u3066\u6025\u306b\u6c7a\u307e\u3063\u305f\u3082\u306e\u3067\u306f\u306a\u304f\u3001\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u5185\u3067\u306f\u5927\u304d\u306a\u8b70\u8ad6\u306e\u7684\u3068\u306a\u3063\u3066\u304d\u305f\u3082\u306e\u3067\u3059\u3002 \u4e0a\u8a18\u306e\u30de\u30eb\u30c1\u30d7\u30ed\u30bb\u30b9\u51e6\u7406\u306e\u4f8b\uff08\u304a\u3088\u3073\u4e0a\u8a18\u3067\u30ea\u30f3\u30af\u3055\u308c\u3066\u3044\u308b PEP 703\uff09\u3067\u793a\u3055\u308c\u3066\u3044\u308b\u3088\u3046\u306b\u3001GIL \u306b\u3088\u308b\u4fdd\u8a3c\u304c\u306a\u304f\u306a\u308b\u3068\u3001\u4e8b\u614b\u306f\u6025\u901f\u306b\u8907\u96d1\u5316\u3057\u307e\u3059\u3002<\/p>\n
[1]: https:\/\/lwn.net\/Articles\/689548\/<\/a><\/p>\n[2]: https:\/\/lwn.net\/ml\/python-dev\/CAGr09bSrMNyVNLTvFq-h6t38kTxqTXfgxJYApmbEWnT71L74-g@mail.gmail.com\/<\/p>\n
\u53c2\u7167\u30ab\u30a6\u30f3\u30c8<\/h3>\n
GIL \u304c\u3042\u308b\u5834\u5408\u3001\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u3068\u30ac\u30d9\u30fc\u30b8\u30b3\u30ec\u30af\u30b7\u30e7\u30f3\u306f\u3082\u3063\u3068\u5358\u7d14\u660e\u5feb\u3067\u3059\u3002 \u4e00\u5ea6\u306b 1 \u3064\u306e\u30b9\u30ec\u30c3\u30c9\u306e\u307f\u304c Python \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u308b\u5834\u5408\u306f\u5358\u7d14\u306a\u975e\u30a2\u30c8\u30df\u30c3\u30af\u53c2\u7167\u30ab\u30a6\u30f3\u30c8<\/a>\u3092\u4f7f\u7528\u3057\u3001\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u304c\u30bc\u30ed\u306b\u9054\u3057\u305f\u3068\u304d\u306b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u9664\u53bb\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\nGIL \u3092\u6392\u9664\u3059\u308b\u3068\u3001\u4e8b\u614b\u306f\u8907\u96d1\u5316\u3057\u307e\u3059\u3002 \u30b9\u30ec\u30c3\u30c9\u306e\u5b89\u5168\u6027<\/a>\u3092\u4fdd\u8a3c\u3057\u306a\u3044\u975e\u30a2\u30c8\u30df\u30c3\u30af\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u3092\u4f7f\u7528\u3067\u304d\u306a\u304f\u306a\u308b\u306e\u3067\u3059\u3002 \u540c\u6642\u306b\u8907\u6570\u306e\u30b9\u30ec\u30c3\u30c9\u304c Python \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u5bfe\u3057\u3066\u8907\u6570\u306e\u53c2\u7167\u306e\u5897\u5206\u3068\u6e1b\u5206\u3092\u5b9f\u884c\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u554f\u984c\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002 \u30a2\u30c8\u30df\u30c3\u30af\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u306b\u3088\u3063\u3066\u30b9\u30ec\u30c3\u30c9\u306e\u5b89\u5168\u6027\u304c\u4fdd\u8a3c\u3055\u308c\u308b\u306e\u304c\u7406\u60f3\u7684\u3067\u3059\u304c\u3001 \u3053\u306e\u65b9\u6cd5\u306f\u30aa\u30fc\u30d0\u30fc\u30d8\u30c3\u30c9\u304c\u5927\u304d\u304f\u3001\u30b9\u30ec\u30c3\u30c9\u6570\u304c\u591a\u3044\u5834\u5408\u306b\u52b9\u7387\u304c\u4f4e\u4e0b\u3057\u3066\u3057\u307e\u3044\u307e\u3059\u3002<\/p>\n\u3053\u306e\u554f\u984c\u306f\u3001\u30b9\u30ec\u30c3\u30c9\u306e\u5b89\u5168\u6027\u3082\u4fdd\u8a3c\u3059\u308b\u30d0\u30a4\u30a2\u30b9\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u3092\u4f7f\u7528\u3059\u308b\u3068\u89e3\u6c7a\u3067\u304d\u307e\u3059\u3002 \u30a2\u30a4\u30c7\u30a2\u3068\u3057\u3066\u306f\u3001\u5404\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u30aa\u30fc\u30ca\u30fc\u30b9\u30ec\u30c3\u30c9\uff08\u307b\u3068\u3093\u3069\u306e\u5834\u5408\u306b\u7279\u5b9a\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3066\u3044\u308b\u30b9\u30ec\u30c3\u30c9\uff09\u306b\u504f\u3089\u305b\u308b\u3068\u3044\u3046\u3082\u306e\u3067\u3059\u3002 \u30aa\u30fc\u30ca\u30fc\u30b9\u30ec\u30c3\u30c9\u306f\u81ea\u8eab\u304c\u6240\u6709\u3059\u308b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u5bfe\u3057\u3066\u975e\u30a2\u30c8\u30df\u30c3\u30af\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u304c\u3001\u4ed6\u306e\u30b9\u30ec\u30c3\u30c9\u306f\u305d\u306e\u3088\u3046\u306a\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u30a2\u30c8\u30df\u30c3\u30af\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u3092\u5b9f\u884c\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 \u3053\u306e\u65b9\u6cd5\u304c\u666e\u901a\u306e\u30a2\u30c8\u30df\u30c3\u30af\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u3088\u308a\u3082\u671b\u307e\u3057\u3044\u306e\u306f\u3001\u307b\u3068\u3093\u3069\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306f\u307b\u3068\u3093\u3069\u306e\u5834\u5408\u306b 1 \u3064\u306e\u30b9\u30ec\u30c3\u30c9\u304b\u3089\u306e\u307f\u30a2\u30af\u30bb\u30b9\u3055\u308c\u308b\u305f\u3081\u3067\u3059\u3002 \u30aa\u30fc\u30ca\u30fc\u30b9\u30ec\u30c3\u30c9\u304c\u975e\u30a2\u30c8\u30df\u30c3\u30af\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u3092\u5b9f\u884c\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u3053\u3068\u3067\u3001\u5b9f\u884c\u306e\u30aa\u30fc\u30d0\u30fc\u30d8\u30c3\u30c9\u3092\u524a\u6e1b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n![\"\"](\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/07\/image-22.png\")
<\/figure>\n\u307e\u305f\u3001\u3088\u304f\u4f7f\u7528\u3055\u308c\u308b\u4e00\u90e8\u306e Python \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\uff08True\u3001False\u3001\u5c0f\u3055\u306a\u6574\u6570\u3001\u4e00\u90e8\u306e intern \u3055\u308c\u305f\u6587\u5b57\u5217\u306a\u3069\uff09\u306f\u6c38\u7d9a\u5316\u3055\u308c\u307e\u3059\u3002 \u3053\u3053\u3067\u3001\u300c\u6c38\u7d9a\u300d\u3068\u306f\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u305d\u306e\u751f\u5b58\u6642\u9593\u4e2d\u306b\u30d7\u30ed\u30b0\u30e9\u30e0\u306b\u7559\u307e\u308b\u3068\u3044\u3046\u610f\u5473\u3067\u3042\u308b\u305f\u3081\u3001\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u306f\u5fc5\u8981\u3068\u3057\u307e\u305b\u3093\u3002<\/p>\n
\u30ac\u30d9\u30fc\u30b8\u30b3\u30ec\u30af\u30b7\u30e7\u30f3<\/h3>\n
\u30ac\u30d9\u30fc\u30b8\u30b3\u30ec\u30af\u30b7\u30e7\u30f3<\/a>\u306e\u5b9f\u884c\u65b9\u6cd5\u3082\u5909\u66f4\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 \u53c2\u7167\u304c\u89e3\u653e\u3055\u308c\u305f\u3089\u3059\u3050\u306b\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u3092\u6e1b\u3089\u3057\u3001\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u304c\u30bc\u30ed\u306b\u5230\u9054\u3057\u305f\u3089\u76f4\u3061\u306b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u9664\u53bb\u3059\u308b\u4ee3\u308f\u308a\u306b\u3001\u300c\u9045\u5ef6\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u300d\u3068\u3044\u3046\u624b\u6cd5\u304c\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u3092\u6e1b\u3089\u3059\u5fc5\u8981\u304c\u3042\u308b\u5834\u5408\u3001\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306f\u30c6\u30fc\u30d6\u30eb\u306b\u683c\u7d0d\u3055\u308c\u3001\u3053\u306e\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u306e\u6e1b\u5c11\u304c\u6b63\u78ba\u3067\u3042\u308b\u304b\u3069\u3046\u304b\u304c\u518d\u78ba\u8a8d\u3055\u308c\u307e\u3059\u3002 \u3053\u3046\u3059\u308b\u3053\u3068\u3067\u3001GIL \u304c\u306a\u3044\u5834\u5408\u306b\u307e\u3060\u53c2\u7167\u3055\u308c\u3066\u3044\u308b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u9014\u4e2d\u3067\u9664\u53bb\u3055\u308c\u308b\u72b6\u6cc1\u3092\u56de\u907f\u3057\u3066\u3044\u307e\u3059\u3002\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u304c GIL \u304c\u3042\u308b\u5834\u5408\u307b\u3069\u5358\u7d14\u660e\u5feb\u3067\u306f\u306a\u3044\u305f\u3081\u3067\u3059\u3002 \u3053\u308c\u306b\u3088\u308a\u3001\u30ac\u30d9\u30fc\u30b8\u30b3\u30ec\u30af\u30b7\u30e7\u30f3\u306e\u30d7\u30ed\u30bb\u30b9\u304c\u8907\u96d1\u5316\u3057\u307e\u3059\u3002\u30ac\u30d9\u30fc\u30b8\u30b3\u30ec\u30af\u30b7\u30e7\u30f3\u306f\u5404\u30b9\u30ec\u30c3\u30c9\u306e\u30b9\u30bf\u30c3\u30af<\/a>\u3054\u3068\u306b\u72ec\u81ea\u306e\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u3092\u5168\u63a2\u7d22\u3059\u308b\u5fc5\u8981\u306b\u306a\u308b\u5834\u5408\u304c\u3042\u308b\u305f\u3081\u3067\u3059\u3002<\/p>\n\u3082\u3046 1 \u3064\u8003\u616e\u3059\u3079\u304d\u306a\u306e\u306f\u3001\u30ac\u30d9\u30fc\u30b8\u30b3\u30ec\u30af\u30b7\u30e7\u30f3\u4e2d\u306f\u53c2\u7167\u30ab\u30a6\u30f3\u30c8\u304c\u5b89\u5b9a\u3057\u3066\u3044\u308b\u5fc5\u8981\u304c\u3042\u308b\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002 \u7834\u68c4\u3055\u308c\u3088\u3046\u3068\u3057\u3066\u3044\u308b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u4e0d\u610f\u306b\u53c2\u7167\u3055\u308c\u305f\u5834\u5408\u3001\u6df1\u523b\u306a\u554f\u984c\u304c\u767a\u751f\u3057\u307e\u3059\u3002 \u305d\u306e\u305f\u3081\u3001\u30ac\u30d9\u30fc\u30b8\u30b3\u30ec\u30af\u30b7\u30e7\u30f3\u306e\u30b5\u30a4\u30af\u30eb\u4e2d\u306b\u30ab\u30a6\u30f3\u30c8\u3092\u505c\u6b62\u3057\u3001\u30b9\u30ec\u30c3\u30c9\u306e\u5b89\u5168\u6027\u3092\u4fdd\u8a3c\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\u30e1\u30e2\u30ea\u306e\u5272\u308a\u5f53\u3066<\/h3>\n
GIL \u304c\u30b9\u30ec\u30c3\u30c9\u5b89\u5168\u6027\u3092\u4fdd\u8a3c\u3057\u3066\u3044\u308b\u3068\u304d\u306f Python \u306e\u5185\u90e8\u30e1\u30e2\u30ea\u30a2\u30ed\u30b1\u30fc\u30bf\u30fc\u3067\u3042\u308b pymalloc \u304c\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002 \u3057\u304b\u3057\u3001GIL \u304c\u306a\u3044\u5834\u5408\u306f\u65b0\u3057\u3044\u30e1\u30e2\u30ea\u30a2\u30ed\u30b1\u30fc\u30bf\u30fc\u304c\u5fc5\u8981\u3068\u306a\u308a\u307e\u3059\u3002 Sam Gross \u306f Daan Leijen \u304c\u958b\u767a\u3057\u3001Microsoft \u304c\u4fdd\u5b88\u3059\u308b\u6c4e\u7528\u30a2\u30ed\u30b1\u30fc\u30bf\u30fc\u3067\u3042\u308b mimalloc<\/a> \u3092 PEP \u3067\u63d0\u6848\u3057\u307e\u3057\u305f\u3002 \u3053\u308c\u306f\u30b9\u30ec\u30c3\u30c9\u30bb\u30fc\u30d5\u3067\u3042\u308a\u3001\u5c0f\u3055\u306a\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3067\u826f\u597d\u306a\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u767a\u63ee\u3059\u308b\u305f\u3081\u3001\u6709\u52b9\u306a\u9078\u629e\u80a2\u3067\u3059\u3002<\/p>\nMimalloc \u306f\u305d\u306e\u30d2\u30fc\u30d7\u3092\u30da\u30fc\u30b8\u3067\u57cb\u3081\u3001\u30da\u30fc\u30b8\u3092\u30d6\u30ed\u30c3\u30af\u3067\u57cb\u3081\u307e\u3059\u3002 \u5404\u30da\u30fc\u30b8\u306b\u306f\u30d6\u30ed\u30c3\u30af\u304c\u542b\u307e\u308c\u3001\u5404\u30da\u30fc\u30b8\u5185\u306e\u30d6\u30ed\u30c3\u30af\u306f\u3059\u3079\u3066\u540c\u3058\u30b5\u30a4\u30ba\u3067\u3059\u3002 \u30ea\u30b9\u30c8\u3068\u8f9e\u66f8\u306e\u30a2\u30af\u30bb\u30b9\u306b\u5236\u9650\u3092\u52a0\u3048\u308b\u3053\u3068\u3067\u3001\u30ac\u30d9\u30fc\u30b8\u30b3\u30ec\u30af\u30bf\u30fc\u304c\u9023\u7d50\u30ea\u30b9\u30c8<\/a>\u3092\u7dad\u6301\u3057\u3066\u3059\u3079\u3066\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u691c\u7d22\u3059\u308b\u5fc5\u8981\u304c\u306a\u304f\u306a\u308a\u3001\u30ed\u30c3\u30af\u3092\u53d6\u5f97\u3059\u308b\u3053\u3068\u306a\u304f\u3053\u306e\u30ea\u30b9\u30c8\u3068\u8f9e\u66f8\u3092\u8aad\u307f\u53d6\u308c\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n![\"\"](\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/07\/image-23.png\")
<\/figure>\nGIL \u306e\u6392\u9664\u306b\u95a2\u3059\u308b\u8a73\u7d30\u306a\u60c5\u5831\u306f\u5b58\u5728\u3057\u307e\u3059\u304c\u3001\u305d\u306e\u3059\u3079\u3066\u3092\u3053\u306e\u8a18\u4e8b\u3067\u8aac\u660e\u3059\u308b\u306e\u306f\u4e0d\u53ef\u80fd\u3067\u3059\u3002 \u5b8c\u5168\u306a\u5185\u5bb9\u306b\u3064\u3044\u3066\u306f\u3001PEP 703 \u2013 Making the Global Interpreter Lock Optional in CPython<\/a>\uff08CPython \u3067\u30b0\u30ed\u30fc\u30d0\u30eb\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u30ed\u30c3\u30af\u3092\u30aa\u30d7\u30b7\u30e7\u30f3\u306b\u3059\u308b\uff09\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\nGIL \u306e\u6709\u7121\u306b\u3088\u308b\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u9055\u3044<\/h2>\n
Python 3.13 \u306b\u306f free-threaded \u30aa\u30d7\u30b7\u30e7\u30f3\u304c\u3042\u308b\u305f\u3081\u3001Python 3.13 \u306e\u6a19\u6e96\u30d0\u30fc\u30b8\u30e7\u30f3\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092 free-threaded \u30d0\u30fc\u30b8\u30e7\u30f3\u3068\u6bd4\u8f03\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
free-threaded Python \u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h3>\n
pyenv<\/a> \u3092\u4f7f\u7528\u3057\u3001\u6a19\u6e96\u30d0\u30fc\u30b8\u30e7\u30f3\uff083.13.5 \u306a\u3069\uff09\u3068 free-threaded \u30d0\u30fc\u30b8\u30e7\u30f3\uff083.13.5t \u306a\u3069\uff09\u306e\u4e21\u65b9\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n\u307e\u305f\u306f\u3001Python.org<\/a> \u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30e9\u30fc\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002 \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u4e2d\u306f\u5fc5\u305a Customize<\/em> \u30aa\u30d7\u30b7\u30e7\u30f3\u3092\u9078\u629e\u3057\u3001free-threaded Python \u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u30aa\u30d7\u30b7\u30e7\u30f3\u306e\u30dc\u30c3\u30af\u30b9\u3092\u30aa\u30f3\u306b\u3057\u3066\u304f\u3060\u3055\u3044\uff08\u3053\u3061\u3089\u306e\u30d6\u30ed\u30b0\u8a18\u4e8b\u306e\u4f8b\u3092\u3054\u89a7\u304f\u3060\u3055\u3044<\/a>\uff09\u3002<\/p>\n\u4e21\u65b9\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u305f\u3089\u3001\u305d\u308c\u3089\u3092 PyCharm \u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u5185\u3067\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u3068\u3057\u3066\u8ffd\u52a0\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u307e\u305a\u3001\u53f3\u4e0b\u306e Python \u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u306e\u540d\u524d\u3092\u30af\u30ea\u30c3\u30af\u3057\u307e\u3059\u3002<\/p>\n![\"\"](\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/07\/image-24.png\")
<\/figure>\n\u30e1\u30cb\u30e5\u30fc\u304b\u3089 Add New Interpreter<\/em>\uff08\u65b0\u898f\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u306e\u8ffd\u52a0\uff09\u3068 Add Local Interpreter<\/em>\uff08\u30ed\u30fc\u30ab\u30eb\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u306e\u8ffd\u52a0\uff09\u3092\u7d9a\u3051\u3066\u9078\u629e\u3057\u307e\u3059\u3002<\/p>\n![\"\"](\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/07\/image-25.png\")
<\/figure>\nSelect existing<\/em>\uff08\u65e2\u5b58\u306e\u9078\u629e\uff09\u3092\u9078\u629e\u3057\u3001\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u30d1\u30b9\u304c\u8aad\u307f\u8fbc\u307e\u308c\u308b\u306e\u3092\u5f85\u3061\u307e\u3059\uff08\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u304c\u591a\u3044\u5834\u5408\u306f\u8aad\u307f\u8fbc\u307f\u306b\u6642\u9593\u304c\u304b\u304b\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\uff09\u3002\u305d\u306e\u5f8c\u3001Python path<\/em> \uff08Python \u306e\u30d1\u30b9\uff09\u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u30e1\u30cb\u30e5\u30fc\u304b\u3089\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u3070\u304b\u308a\u306e\u65b0\u3057\u3044\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/p>\n![\"\"](\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/07\/image-26.png\")
<\/figure>\nOK<\/em> \u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u8ffd\u52a0\u3057\u307e\u3059\u3002 \u3082\u3046 1 \u3064\u306e\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u3067\u3082\u540c\u3058\u624b\u9806\u3092\u7e70\u308a\u8fd4\u3057\u307e\u3059\u3002 \u53f3\u4e0b\u306e\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u540d\u3092\u3082\u3046\u4e00\u5ea6\u30af\u30ea\u30c3\u30af\u3059\u308b\u3068\u3001\u4e0a\u8a18\u306e\u753b\u50cf\u306e\u3088\u3046\u306b\u8907\u6570\u306e Python 3.13 \u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\nCPU \u30d0\u30a6\u30f3\u30c9\u306a\u30d7\u30ed\u30bb\u30b9\u3092\u4f7f\u7528\u3057\u305f\u30c6\u30b9\u30c8<\/h3>\n
\u6b21\u306b\u3001\u8907\u6570\u306e\u7570\u306a\u308b\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u30c6\u30b9\u30c8\u3059\u308b\u305f\u3081\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u304c\u5fc5\u8981\u3067\u3059\u3002 \u3053\u306e\u30d6\u30ed\u30b0\u9023\u8f09\u8a18\u4e8b\u306e\u30d1\u30fc\u30c8 1<\/a> \u3067\u306f\u3001CPU \u30d0\u30a6\u30f3\u30c9\u306a\u30d7\u30ed\u30bb\u30b9\u3092\u9ad8\u901f\u5316\u3059\u308b\u306b\u306f\u771f\u306e\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u304c\u5fc5\u8981\u3060\u3068\u8aac\u660e\u3057\u307e\u3057\u305f\u3002 GIL \u3092\u6392\u9664\u3059\u308b\u3053\u3068\u3067\u771f\u306e\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u304c\u53ef\u80fd\u306b\u306a\u308a\u3001Python \u304c\u9ad8\u901f\u5316\u3055\u308c\u308b\u304b\u3069\u3046\u304b\u3092\u78ba\u8a8d\u3059\u308b\u306b\u306f\u3001\u8907\u6570\u306e\u30b9\u30ec\u30c3\u30c9\u3067 CPU \u30d0\u30a6\u30f3\u30c9\u306a\u30d7\u30ed\u30bb\u30b9\u3092\u4f7f\u7528\u3057\u3066\u30c6\u30b9\u30c8\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u4ee5\u4e0b\u306f\u3001Junie<\/a> \u306b\u751f\u6210\u3057\u3066\u3082\u3089\u3063\u305f\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u3059\uff08\u6700\u7d42\u8abf\u6574\u306f\u79c1\u304c\u884c\u3044\u307e\u3057\u305f\uff09\u3002<\/p>\nimport time\nimport multiprocessing # Kept for CPU count\nfrom concurrent.futures import ThreadPoolExecutor\nimport sys\n\n\n\n\ndef is_prime(n):\n \"\"\"Check if a number is prime (CPU-intensive operation).\"\"\"\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\n\n\n\ndef count_primes(start, end):\n \"\"\"Count prime numbers in a range.\"\"\"\n count = 0\n for num in range(start, end):\n if is_prime(num):\n count += 1\n return count\n\n\n\n\ndef run_single_thread(range_size, num_chunks):\n \"\"\"Run the prime counting task in a single thread.\"\"\"\n chunk_size = range_size \/\/ num_chunks\n total_count = 0\n\n\n start_time = time.time()\n\n\n for i in range(num_chunks):\n start = i * chunk_size + 1\n end = (i + 1) * chunk_size + 1 if i < num_chunks - 1 else range_size + 1\n total_count += count_primes(start, end)\n\n\n end_time = time.time()\n\n\n return total_count, end_time - start_time\n\n\n\n\ndef thread_task(start, end):\n \"\"\"Task function for threads.\"\"\"\n return count_primes(start, end)\n\n\n\n\ndef run_multi_thread(range_size, num_threads, num_chunks):\n \"\"\"Run the prime counting task using multiple threads.\"\"\"\n chunk_size = range_size \/\/ num_chunks\n total_count = 0\n\n\n start_time = time.time()\n\n\n with ThreadPoolExecutor(max_workers=num_threads) as executor:\n futures = []\n for i in range(num_chunks):\n start = i * chunk_size + 1\n end = (i + 1) * chunk_size + 1 if i < num_chunks - 1 else range_size + 1\n futures.append(executor.submit(thread_task, start, end))\n\n\n for future in futures:\n total_count += future.result()\n\n\n end_time = time.time()\n\n\n return total_count, end_time - start_time\n\n\n\n\ndef main():\n # Fixed parameters\n range_size = 1000000 # Range of numbers to check for primes\n num_chunks = 16 # Number of chunks to divide the work into\n num_threads = 4 # Fixed number of threads for multi-threading test\n\n\n print(f\"Python version: {sys.version}\")\n print(f\"CPU count: {multiprocessing.cpu_count()}\")\n print(f\"Range size: {range_size}\")\n print(f\"Number of chunks: {num_chunks}\")\n print(\"-\" * 60)\n\n\n # Run single-threaded version as baseline\n print(\"Running single-threaded version (baseline)...\")\n count, single_time = run_single_thread(range_size, num_chunks)\n print(f\"Found {count} primes in {single_time:.4f} seconds\")\n print(\"-\" * 60)\n\n\n # Run multi-threaded version with fixed number of threads\n print(f\"Running multi-threaded version with {num_threads} threads...\")\n count, thread_time = run_multi_thread(range_size, num_threads, num_chunks)\n speedup = single_time \/ thread_time\n print(f\"Found {count} primes in {thread_time:.4f} seconds (speedup: {speedup:.2f}x)\")\n print(\"-\" * 60)\n\n\n # Summary\n print(\"SUMMARY:\")\n print(f\"{'Threads':<10} {'Time (s)':<12} {'Speedup':<10}\")\n print(f\"{'1 (baseline)':<10} {single_time:<12.4f} {'1.00x':<10}\")\n print(f\"{num_threads:<10} {thread_time:<12.4f} {speedup:.2f}x\")\n\n\nif __name__ == \"__main__\":\n main()\n<\/pre>\n\u8907\u6570\u306e\u7570\u306a\u308b Python \u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u3067\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u5b9f\u884c\u3057\u3084\u3059\u304f\u3059\u308b\u305f\u3081\u3001Python \u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u30ab\u30b9\u30bf\u30e0\u5b9f\u884c\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u6700\u4e0a\u90e8\u306e Run<\/em>\uff08\u5b9f\u884c\u3001![](\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/10\/AD_4nXcRz0HogcsseQcC85-vSwRJhBWhiZCysBUZjcuu1uQYusTx-hj6h-l4FAs_HUE1gcJV5kjSjPuUu1opfKgu6sH5G9epkDlMMw0fBRPyReunr-DgSpg5O_6QTIYROqOaiMHGAX42vg-1.png\")
\uff09\u30dc\u30bf\u30f3\u306e\u6a2a\u306b\u3042\u308b\u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u304b\u3089 Edit Configurations\u2026<\/em>\uff08\u69cb\u6210\u306e\u7de8\u96c6…\uff09\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/p>\n![](\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/10\/AD_4nXeLJtj8xjnN-WQM7UQAop3RCg1hSElHa9WqFMBgXWGyxaxg07kOEhYnBV2i1WOnw5fUB_LsN-QWXidRJ-WMUVAkjF9aSVws684Jbnnoc8P-t_EDD622RghKpL5LjckKoKf251If3A-1.png\")
<\/p>\n
\u5de6\u4e0a\u306e + \u30dc\u30bf\u30f3\u3092\u30af\u30ea\u30c3\u30af\u3057\u3001Add New Configuration<\/em>\uff08\u65b0\u898f\u69cb\u6210\u306e\u8ffd\u52a0\uff09\u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u30e1\u30cb\u30e5\u30fc\u304b\u3089 Python \u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/p>\n![\"\"](\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/07\/image-27.png\")
<\/figure>\n\u5177\u4f53\u7684\u306b\u3069\u3061\u3089\u306e\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\uff083.13.5\u30013.15.3t \u306a\u3069\uff09\u304c\u4f7f\u7528\u3055\u308c\u3066\u3044\u308b\u306e\u304b\u5206\u304b\u308b\u3088\u3046\u306a\u540d\u524d\u3092\u6c7a\u3081\u307e\u3059\u3002 \u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3001\u9069\u5207\u306a\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u3092\u9078\u629e\u3057\u3066\u30c6\u30b9\u30c8\u30b9\u30af\u30ea\u30d7\u30c8\u306e\u540d\u524d\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/p>\n![\"\"](\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/07\/image-28.png\")
<\/figure>\n\u30a4\u30f3\u30bf\u30fc\u30d7\u30ea\u30bf\u30fc\u3054\u3068\u306b 1 \u3064\u305a\u3064\u3001\u5408\u8a08\u3067 2 \u3064\u306e\u69cb\u6210\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002 \u305d\u3057\u3066 OK<\/em> \u3092\u30af\u30ea\u30c3\u30af\u3057\u307e\u3059\u3002<\/p>\n\u69cb\u6210\u3092\u9078\u629e\u3057\u3066\u4e0a\u90e8\u306e Run<\/em>\uff08\u5b9f\u884c\u3001\uff09\u30dc\u30bf\u30f3\u3092\u30af\u30ea\u30c3\u30af\u3059\u308b\u3053\u3068\u3067\u3001GIL \u306e\u6709\u7121\u3092\u554f\u308f\u305a\u30c6\u30b9\u30c8\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u7c21\u5358\u306b\u9078\u629e\u3057\u3066\u5b9f\u884c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n\u7d50\u679c\u306e\u6bd4\u8f03<\/h3>\n
GIL \u306e\u3042\u308b\u6a19\u6e96\u30d0\u30fc\u30b8\u30e7\u30f3\u306e 3.13.5 \u3092\u5b9f\u884c\u3059\u308b\u3068\u3001\u4ee5\u4e0b\u306e\u7d50\u679c\u304c\u5f97\u3089\u308c\u307e\u3057\u305f\u3002<\/p>\n
Python version: 3.13.5 (main, Jul 10 2025, 20:33:15) [Clang 17.0.0 (clang-1700.0.13.5)]\nCPU count: 8\nRange size: 1000000\nNumber of chunks: 16\n------------------------------------------------------------\nRunning single-threaded version (baseline)...\nFound 78498 primes in 1.1930 seconds\n------------------------------------------------------------\nRunning multi-threaded version with 4 threads...\nFound 78498 primes in 1.2183 seconds (speedup: 0.98x)\n------------------------------------------------------------\nSUMMARY:\nThreads Time (s) Speedup \n1 (baseline) 1.1930 1.00x \n4 1.2183 0.98x\n<\/pre>\n\u3054\u89a7\u306e\u3088\u3046\u306b\u3001\u3053\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092 4 \u30b9\u30ec\u30c3\u30c9\u3067\u5b9f\u884c\u3057\u305f\u5834\u5408\u306f\u30b7\u30f3\u30b0\u30eb\u30b9\u30ec\u30c3\u30c9\u306e\u57fa\u6e96\u304b\u3089\u5927\u304d\u306a\u5909\u5316\u306f\u3042\u308a\u307e\u305b\u3093\u3002 free-threaded \u30d0\u30fc\u30b8\u30e7\u30f3\u306e 3.13.5t \u3092\u5b9f\u884c\u3057\u305f\u5834\u5408\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n
Python version: 3.13.5 experimental free-threading build (main, Jul 10 2025, 20:36:28) [Clang 17.0.0 (clang-1700.0.13.5)]\nCPU count: 8\nRange size: 1000000\nNumber of chunks: 16\n------------------------------------------------------------\nRunning single-threaded version (baseline)...\nFound 78498 primes in 1.5869 seconds\n------------------------------------------------------------\nRunning multi-threaded version with 4 threads...\nFound 78498 primes in 0.4662 seconds (speedup: 3.40x)\n------------------------------------------------------------\nSUMMARY:\nThreads Time (s) Speedup \n1 (baseline) 1.5869 1.00x \n4 0.4662 3.40x\n<\/pre>\n\u4eca\u5ea6\u306f 3 \u500d\u4ee5\u4e0a\u306e\u901f\u5ea6\u306b\u306a\u308a\u307e\u3057\u305f\u3002 \u3069\u3061\u3089\u306e\u5834\u5408\u3082\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u306e\u30aa\u30fc\u30d0\u30fc\u30d8\u30c3\u30c9\u304c\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002 \u305d\u306e\u305f\u3081\u3001\u771f\u306e\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u51e6\u7406\u3067\u3042\u3063\u3066\u3082\u30014 \u30b9\u30ec\u30c3\u30c9\u3067\u306e\u901f\u5ea6\u306f 4 \u500d\u306b\u306a\u308a\u307e\u305b\u3093\u3002<\/p>\n
\u307e\u3068\u3081<\/h2>\n
Faster Python \u30d6\u30ed\u30b0\u9023\u8f09\u8a18\u4e8b\u306e\u30d1\u30fc\u30c8 2 \u3067\u306f\u3001\u904e\u53bb\u306b Python GIL \u304c\u5c0e\u5165\u3055\u308c\u305f\u80cc\u666f\u3001multiprocessing \u3092\u4f7f\u7528\u3057\u305f GIL \u306e\u5236\u9650\u306e\u56de\u907f\u3001\u304a\u3088\u3073GIL \u306e\u6392\u9664\u30d7\u30ed\u30bb\u30b9\u3068\u305d\u306e\u52b9\u679c\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3057\u305f\u3002<\/p>\n
\u3053\u306e\u30d6\u30ed\u30b0\u8a18\u4e8b\u3092\u6295\u7a3f\u3057\u305f\u6642\u70b9\u3067\u306f\u3001Python \u306e free-threaded \u30d0\u30fc\u30b8\u30e7\u30f3\u306f\u307e\u3060\u30c7\u30d5\u30a9\u30eb\u30c8\u306b\u306a\u3063\u3066\u3044\u307e\u305b\u3093\u3002 \u305f\u3060\u3057\u3001\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3068\u30b5\u30fc\u30c9\u30d1\u30fc\u30c6\u30a3\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u63a1\u7528\u306b\u3088\u308a\u3001\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3067\u306f Python \u306e free-threaded \u30d0\u30fc\u30b8\u30e7\u30f3\u304c\u5c06\u6765\u7684\u306b\u6a19\u6e96\u3068\u306a\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002 Python 3.14 \u306b\u306f\u5b9f\u9a13\u7684\u6bb5\u968e\u3092\u7d42\u3048\u305f free-threaded \u30d0\u30fc\u30b8\u30e7\u30f3\u304c\u542b\u307e\u308c\u308b\u3068\u767a\u8868\u3055\u308c\u3066\u306f\u3044\u307e\u3059\u304c\u3001\u73fe\u6642\u70b9\u3067\u306f\u30aa\u30d7\u30b7\u30e7\u30f3\u3067\u3059\u3002<\/p>\n
![\"Cheuk](\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/01\/CheukTingHo-Kimono-e1738750639162-200x200.jpg\")
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