{"id":1087561,"date":"2025-01-08T13:36:18","date_gmt":"2025-01-08T05:36:18","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1087561.html"},"modified":"2025-01-08T13:36:22","modified_gmt":"2025-01-08T05:36:22","slug":"python%e5%a4%9a%e7%ba%bf%e7%a8%8b%e8%bf%94%e5%9b%9e%e5%80%bc%e5%a6%82%e4%bd%95%e6%8e%a5%e6%94%b6-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1087561.html","title":{"rendered":"python\u591a\u7ebf\u7a0b\u8fd4\u56de\u503c\u5982\u4f55\u63a5\u6536"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24200435\/8be9f3b6-81e9-4555-aece-91444beca947.webp\" alt=\"python\u591a\u7ebf\u7a0b\u8fd4\u56de\u503c\u5982\u4f55\u63a5\u6536\" \/><\/p>\n<p><p> <strong>\u8981\u5728Python\u4e2d\u63a5\u6536\u591a\u7ebf\u7a0b\u7684\u8fd4\u56de\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528\u7ebf\u7a0b\u7684\u7ed3\u679c\u5bf9\u8c61\u3001\u961f\u5217\u3001Future\u5bf9\u8c61\u7b49\u65b9\u6cd5\u3002\u63a8\u8350\u4f7f\u7528concurrent.futures\u6a21\u5757\u4e2d\u7684ThreadPoolExecutor\u6765\u5b9e\u73b0\uff0c\u56e0\u4e3a\u5b83\u66f4\u9ad8\u6548\u4e14\u6613\u4e8e\u4f7f\u7528\u3002<\/strong> \u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528ThreadPoolExecutor\u6765\u63a5\u6536\u591a\u7ebf\u7a0b\u7684\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<h2><strong>\u4e00\u3001\u4f7f\u7528ThreadPoolExecutor<\/strong><\/h2>\n<p><p>ThreadPoolExecutor\u662fconcurrent.futures\u6a21\u5757\u4e2d\u7684\u4e00\u4e2a\u7c7b\uff0c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9ad8\u6548\u7684\u7ebf\u7a0b\u6c60\u5b9e\u73b0\u3002\u901a\u8fc7\u5b83\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u7ba1\u7406\u7ebf\u7a0b\u7684\u521b\u5efa\u3001\u6267\u884c\u548c\u8fd4\u56de\u503c\u7684\u83b7\u53d6\u3002<\/p>\n<\/p>\n<p><h2>1.1 \u521b\u5efa\u7ebf\u7a0b\u6c60<\/h2>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u7ebf\u7a0b\u6c60\u3002\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u7ebf\u7a0b\u6c60\u7684\u5927\u5c0f\u6765\u63a7\u5236\u540c\u65f6\u6267\u884c\u7684\u7ebf\u7a0b\u6570\u91cf\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from concurrent.futures import ThreadPoolExecutor<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5305\u542b3\u4e2a\u7ebf\u7a0b\u7684\u7ebf\u7a0b\u6c60<\/strong><\/h2>\n<p>executor = ThreadPoolExecutor(max_workers=3)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>1.2 \u63d0\u4ea4\u4efb\u52a1<\/h2>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7submit\u65b9\u6cd5\u63d0\u4ea4\u4efb\u52a1\uff0csubmit\u65b9\u6cd5\u4f1a\u8fd4\u56de\u4e00\u4e2aFuture\u5bf9\u8c61\uff0c\u901a\u8fc7\u8fd9\u4e2a\u5bf9\u8c61\u53ef\u4ee5\u83b7\u53d6\u7ebf\u7a0b\u7684\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def task(n):<\/p>\n<p>    return n * n<\/p>\n<h2><strong>\u63d0\u4ea4\u4efb\u52a1\uff0c\u5e76\u83b7\u53d6Future\u5bf9\u8c61<\/strong><\/h2>\n<p>future = executor.submit(task, 2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>1.3 \u83b7\u53d6\u8fd4\u56de\u503c<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7Future\u5bf9\u8c61\u7684result\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u7ebf\u7a0b\u7684\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">result = future.result()<\/p>\n<p>print(result)  # \u8f93\u51fa 4<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>1.4 \u4f7f\u7528map\u65b9\u6cd5<\/h2>\n<\/p>\n<p><p>ThreadPoolExecutor\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e2amap\u65b9\u6cd5\uff0c\u5b83\u53ef\u4ee5\u540c\u65f6\u63d0\u4ea4\u591a\u4e2a\u4efb\u52a1\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2a\u8fed\u4ee3\u5668\uff0c\u8fed\u4ee3\u5668\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u90fd\u662f\u5bf9\u5e94\u4efb\u52a1\u7684\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def task(n):<\/p>\n<p>    return n * n<\/p>\n<h2><strong>\u63d0\u4ea4\u591a\u4e2a\u4efb\u52a1<\/strong><\/h2>\n<p>results = executor.map(task, range(5))<\/p>\n<h2><strong>\u83b7\u53d6\u8fd4\u56de\u503c<\/strong><\/h2>\n<p>for result in results:<\/p>\n<p>    print(result)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<h2><strong>\u4e8c\u3001\u4f7f\u7528Queue<\/strong><\/h2>\n<p><p>\u9664\u4e86ThreadPoolExecutor\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528Queue\u6765\u63a5\u6536\u591a\u7ebf\u7a0b\u7684\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><h2>2.1 \u521b\u5efa\u961f\u5217<\/h2>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u961f\u5217\u5bf9\u8c61\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import queue<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u961f\u5217\u5bf9\u8c61<\/strong><\/h2>\n<p>q = queue.Queue()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>2.2 \u521b\u5efa\u7ebf\u7a0b\u5e76\u4f20\u9012\u961f\u5217<\/h2>\n<\/p>\n<p><p>\u5728\u7ebf\u7a0b\u4e2d\u6267\u884c\u4efb\u52a1\u65f6\uff0c\u5c06\u8fd4\u56de\u503c\u653e\u5165\u961f\u5217\u4e2d\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import threading<\/p>\n<p>def task(n, q):<\/p>\n<p>    q.put(n * n)<\/p>\n<h2><strong>\u521b\u5efa\u7ebf\u7a0b\u5e76\u4f20\u9012\u961f\u5217<\/strong><\/h2>\n<p>t = threading.Thread(target=task, args=(2, q))<\/p>\n<p>t.start()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>2.3 \u83b7\u53d6\u8fd4\u56de\u503c<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7\u961f\u5217\u7684get\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u7ebf\u7a0b\u7684\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">t.join()<\/p>\n<p>result = q.get()<\/p>\n<p>print(result)  # \u8f93\u51fa 4<\/p>\n<p><\/code><\/pre>\n<\/p>\n<h2><strong>\u4e09\u3001\u4f7f\u7528\u81ea\u5b9a\u4e49\u7ebf\u7a0b\u7c7b<\/strong><\/h2>\n<p><p>\u8fd8\u53ef\u4ee5\u901a\u8fc7\u7ee7\u627fthreading.Thread\u7c7b\uff0c\u521b\u5efa\u4e00\u4e2a\u81ea\u5b9a\u4e49\u7ebf\u7a0b\u7c7b\u6765\u63a5\u6536\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><h2>3.1 \u521b\u5efa\u81ea\u5b9a\u4e49\u7ebf\u7a0b\u7c7b<\/h2>\n<\/p>\n<p><p>\u521b\u5efa\u4e00\u4e2a\u7ee7\u627f\u81eathreading.Thread\u7684\u81ea\u5b9a\u4e49\u7ebf\u7a0b\u7c7b\uff0c\u5e76\u5728\u7c7b\u4e2d\u5b9a\u4e49\u4e00\u4e2a\u5c5e\u6027\u6765\u4fdd\u5b58\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import threading<\/p>\n<p>class MyThread(threading.Thread):<\/p>\n<p>    def __init__(self, n):<\/p>\n<p>        super().__init__()<\/p>\n<p>        self.n = n<\/p>\n<p>        self.result = None<\/p>\n<p>    def run(self):<\/p>\n<p>        self.result = self.n * self.n<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>3.2 \u521b\u5efa\u5e76\u542f\u52a8\u7ebf\u7a0b<\/h2>\n<\/p>\n<p><p>\u521b\u5efa\u81ea\u5b9a\u4e49\u7ebf\u7a0b\u7c7b\u7684\u5b9e\u4f8b\uff0c\u5e76\u542f\u52a8\u7ebf\u7a0b\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">t = MyThread(2)<\/p>\n<p>t.start()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>3.3 \u83b7\u53d6\u8fd4\u56de\u503c<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7\u81ea\u5b9a\u4e49\u7ebf\u7a0b\u7c7b\u7684\u5b9e\u4f8b\u7684\u5c5e\u6027\u6765\u83b7\u53d6\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">t.join()<\/p>\n<p>result = t.result<\/p>\n<p>print(result)  # \u8f93\u51fa 4<\/p>\n<p><\/code><\/pre>\n<\/p>\n<h2><strong>\u56db\u3001\u4f7f\u7528ThreadPoolExecutor\u7684as_completed\u65b9\u6cd5<\/strong><\/h2>\n<p><p>ThreadPoolExecutor\u7684as_completed\u65b9\u6cd5\u53ef\u4ee5\u5b9e\u73b0\u5bf9\u591a\u4e2a\u4efb\u52a1\u7684\u5f02\u6b65\u7ed3\u679c\u8fdb\u884c\u8fed\u4ee3\uff0c\u9002\u5408\u5904\u7406\u591a\u4e2a\u5f02\u6b65\u4efb\u52a1\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n<p><h2>4.1 \u63d0\u4ea4\u591a\u4e2a\u4efb\u52a1<\/h2>\n<\/p>\n<p><p>\u4f7f\u7528submit\u65b9\u6cd5\u63d0\u4ea4\u591a\u4e2a\u4efb\u52a1\uff0c\u5e76\u5c06\u8fd4\u56de\u7684Future\u5bf9\u8c61\u5b58\u50a8\u5728\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">futures = [executor.submit(task, i) for i in range(5)]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>4.2 \u4f7f\u7528as_completed\u65b9\u6cd5<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7as_completed\u65b9\u6cd5\u5bf9\u591a\u4e2aFuture\u5bf9\u8c61\u8fdb\u884c\u8fed\u4ee3\uff0c\u6bcf\u6b21\u8fed\u4ee3\u90fd\u4f1a\u8fd4\u56de\u4e00\u4e2a\u5df2\u7ecf\u5b8c\u6210\u7684Future\u5bf9\u8c61\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from concurrent.futures import as_completed<\/p>\n<p>for future in as_completed(futures):<\/p>\n<p>    result = future.result()<\/p>\n<p>    print(result)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<h2><strong>\u4e94\u3001\u4f7f\u7528concurrent.futures.Future\u5bf9\u8c61<\/strong><\/h2>\n<p><p>Future\u5bf9\u8c61\u4ee3\u8868\u4e00\u4e2a\u5f02\u6b65\u64cd\u4f5c\u7684\u7ed3\u679c\uff0c\u901a\u8fc7Future\u5bf9\u8c61\u53ef\u4ee5\u83b7\u53d6\u4efb\u52a1\u7684\u8fd4\u56de\u503c\u548c\u72b6\u6001\u3002<\/p>\n<\/p>\n<p><h2>5.1 \u521b\u5efaFuture\u5bf9\u8c61<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7ThreadPoolExecutor\u7684submit\u65b9\u6cd5\u53ef\u4ee5\u521b\u5efaFuture\u5bf9\u8c61\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">future = executor.submit(task, 2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>5.2 \u83b7\u53d6\u8fd4\u56de\u503c<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7Future\u5bf9\u8c61\u7684result\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u4efb\u52a1\u7684\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">result = future.result()<\/p>\n<p>print(result)  # \u8f93\u51fa 4<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>5.3 \u83b7\u53d6\u4efb\u52a1\u72b6\u6001<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7Future\u5bf9\u8c61\u7684done\u65b9\u6cd5\u548ccancelled\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u4efb\u52a1\u7684\u72b6\u6001\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">if future.done():<\/p>\n<p>    print(&quot;\u4efb\u52a1\u5df2\u5b8c\u6210&quot;)<\/p>\n<p>if future.cancelled():<\/p>\n<p>    print(&quot;\u4efb\u52a1\u5df2\u53d6\u6d88&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<h2><strong>\u516d\u3001\u4f7f\u7528\u534f\u7a0b\u548casyncio\u6a21\u5757<\/strong><\/h2>\n<p><p>\u5728Python 3.5\u53ca\u4ee5\u4e0a\u7248\u672c\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u534f\u7a0b\u548casyncio\u6a21\u5757\u6765\u5b9e\u73b0\u5f02\u6b65\u4efb\u52a1\uff0c\u5e76\u83b7\u53d6\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><h2>6.1 \u5b9a\u4e49\u534f\u7a0b\u51fd\u6570<\/h2>\n<\/p>\n<p><p>\u4f7f\u7528async\u5173\u952e\u5b57\u5b9a\u4e49\u4e00\u4e2a\u534f\u7a0b\u51fd\u6570\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import asyncio<\/p>\n<p>async def task(n):<\/p>\n<p>    return n * n<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>6.2 \u521b\u5efa\u4e8b\u4ef6\u5faa\u73af<\/h2>\n<\/p>\n<p><p>\u521b\u5efa\u4e00\u4e2a\u4e8b\u4ef6\u5faa\u73af\uff0c\u5e76\u901a\u8fc7run_until_complete\u65b9\u6cd5\u8fd0\u884c\u534f\u7a0b\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">loop = asyncio.get_event_loop()<\/p>\n<p>result = loop.run_until_complete(task(2))<\/p>\n<p>print(result)  # \u8f93\u51fa 4<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>6.3 \u4f7f\u7528asyncio.gather\u65b9\u6cd5<\/h2>\n<\/p>\n<p><p>asyncio.gather\u65b9\u6cd5\u53ef\u4ee5\u540c\u65f6\u8fd0\u884c\u591a\u4e2a\u534f\u7a0b\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u6240\u6709\u534f\u7a0b\u8fd4\u56de\u503c\u7684\u5217\u8868\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">tasks = [task(i) for i in range(5)]<\/p>\n<p>results = loop.run_until_complete(asyncio.gather(*tasks))<\/p>\n<p>print(results)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<h2><strong>\u4e03\u3001\u603b\u7ed3<\/strong><\/h2>\n<p><p>\u5728Python\u4e2d\u63a5\u6536\u591a\u7ebf\u7a0b\u7684\u8fd4\u56de\u503c\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u63a8\u8350\u4f7f\u7528concurrent.futures\u6a21\u5757\u4e2d\u7684ThreadPoolExecutor\uff0c\u56e0\u4e3a\u5b83\u66f4\u9ad8\u6548\u4e14\u6613\u4e8e\u4f7f\u7528\u3002\u901a\u8fc7ThreadPoolExecutor\u7684submit\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6Future\u5bf9\u8c61\uff0c\u901a\u8fc7Future\u5bf9\u8c61\u7684result\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u4efb\u52a1\u7684\u8fd4\u56de\u503c\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528Queue\u3001\u81ea\u5b9a\u4e49\u7ebf\u7a0b\u7c7b\u3001as_completed\u65b9\u6cd5\u3001\u534f\u7a0b\u548casyncio\u6a21\u5757\u6765\u5b9e\u73b0\u591a\u7ebf\u7a0b\u7684\u8fd4\u56de\u503c\u63a5\u6536\u3002\u4e0d\u540c\u7684\u65b9\u6cd5\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u573a\u666f\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u6267\u884c\u6548\u7387\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u591a\u7ebf\u7a0b\u4e2d\u83b7\u53d6\u51fd\u6570\u7684\u8fd4\u56de\u503c\uff1f<\/strong><br \/>\u5728Python\u7684\u591a\u7ebf\u7a0b\u7f16\u7a0b\u4e2d\uff0c\u83b7\u53d6\u7ebf\u7a0b\u51fd\u6570\u7684\u8fd4\u56de\u503c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528<code>concurrent.futures.ThreadPoolExecutor<\/code>\u6765\u5b9e\u73b0\u3002\u901a\u8fc7<code>submit()<\/code>\u65b9\u6cd5\u63d0\u4ea4\u4efb\u52a1\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>future.result()<\/code>\u6765\u83b7\u53d6\u7ebf\u7a0b\u6267\u884c\u7684\u8fd4\u56de\u503c\u3002\u8fd9\u79cd\u65b9\u5f0f\u4e0d\u4ec5\u7b80\u5355\u6613\u7528\uff0c\u8fd8\u80fd\u6709\u6548\u5904\u7406\u5f02\u5e38\u3002<\/p>\n<p><strong>Python\u591a\u7ebf\u7a0b\u4e0e\u591a\u8fdb\u7a0b\u7684\u8fd4\u56de\u503c\u5904\u7406\u6709\u4f55\u4e0d\u540c\uff1f<\/strong><br \/>\u591a\u7ebf\u7a0b\u548c\u591a\u8fdb\u7a0b\u5728\u5904\u7406\u8fd4\u56de\u503c\u65f6\u6709\u663e\u8457\u5dee\u5f02\u3002\u591a\u7ebf\u7a0b\u901a\u5e38\u4f7f\u7528\u5171\u4eab\u5185\u5b58\u6765\u4f20\u9012\u6570\u636e\uff0c\u800c\u591a\u8fdb\u7a0b\u5219\u9700\u8981\u4f7f\u7528\u961f\u5217\uff08<code>multiprocessing.Queue<\/code>\uff09\u6216\u7ba1\u9053\uff08<code>multiprocessing.Pipe<\/code>\uff09\u6765\u4ea4\u6362\u4fe1\u606f\u3002\u591a\u7ebf\u7a0b\u7684\u8fd4\u56de\u503c\u901a\u8fc7<code>Future<\/code>\u5bf9\u8c61\u83b7\u53d6\uff0c\u800c\u591a\u8fdb\u7a0b\u5219\u9700\u901a\u8fc7\u8fdb\u7a0b\u95f4\u901a\u4fe1\u673a\u5236\u3002<\/p>\n<p><strong>\u4f7f\u7528\u961f\u5217\u5982\u4f55\u5728Python\u591a\u7ebf\u7a0b\u4e2d\u83b7\u53d6\u8fd4\u56de\u503c\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>queue.Queue<\/code>\u6765\u5728\u591a\u4e2a\u7ebf\u7a0b\u95f4\u4f20\u9012\u6570\u636e\u3002\u6bcf\u4e2a\u7ebf\u7a0b\u53ef\u4ee5\u5c06\u5176\u8fd4\u56de\u503c\u653e\u5165\u961f\u5217\u4e2d\uff0c\u4e3b\u7ebf\u7a0b\u5219\u901a\u8fc7<code>get()<\/code>\u65b9\u6cd5\u4ece\u961f\u5217\u4e2d\u63d0\u53d6\u8fd9\u4e9b\u503c\u3002\u8fd9\u79cd\u65b9\u6cd5\u786e\u4fdd\u7ebf\u7a0b\u5b89\u5168\u5e76\u80fd\u6709\u6548\u6536\u96c6\u6240\u6709\u7ebf\u7a0b\u7684\u7ed3\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5728Python\u4e2d\u63a5\u6536\u591a\u7ebf\u7a0b\u7684\u8fd4\u56de\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528\u7ebf\u7a0b\u7684\u7ed3\u679c\u5bf9\u8c61\u3001\u961f\u5217\u3001Future\u5bf9\u8c61\u7b49\u65b9\u6cd5\u3002\u63a8\u8350\u4f7f\u7528concu [&hellip;]","protected":false},"author":3,"featured_media":1087567,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1087561"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1087561"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1087561\/revisions"}],"predecessor-version":[{"id":1087569,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1087561\/revisions\/1087569"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1087567"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1087561"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1087561"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1087561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}