{"id":111421,"date":"2026-10-01T07:25:01","date_gmt":"2026-09-30T23:25:01","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/111421.html"},"modified":"2026-10-01T07:25:01","modified_gmt":"2026-09-30T23:25:01","slug":"%e3%80%90%e7%ac%ac51%e6%9c%9f%e3%80%91%e9%98%9f%e5%88%97%e4%b8%8e%e5%8f%8c%e7%ab%af%e9%98%9f%e5%88%97%ef%bc%9a%e9%98%9f%e5%88%97%e9%a1%ba%e5%ba%8f%e3%80%81%e5%be%aa%e7%8e%af%e7%bc%93%e5%86%b2%e4%b8%8e","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/111421.html","title":{"rendered":"\u3010\u7b2c51\u671f\u3011\u961f\u5217\u4e0e\u53cc\u7aef\u961f\u5217\uff1a\u961f\u5217\u987a\u5e8f\u3001\u5faa\u73af\u7f13\u51b2\u4e0e\u6ed1\u52a8\u7a97\u53e3\u7684\u5b8c\u6574\u6392\u67e5\u3001\u5b9e\u73b0\u4e0e\u5b9e\u9a8c\u6559\u7a0b"},"content":{"rendered":"<h2>CSDN \u5b8c\u6574\u6559\u7a0b<\/h2>\n<p>\u7cfb\u5217&#xff1a;\u300a\u4ece\u5c0f\u767d\u5230 AI \u5927\u6a21\u578b\u5f00\u53d1\u5de5\u7a0b\u5e08\u7684\u8fdb\u9636\u4e4b\u8def\u300b \u6280\u672f\u70b9&#xff1a;AI-0205 \u961f\u5217\u4e0e\u53cc\u7aef\u961f\u5217 \u4e3b\u4eba\u516c&#xff1a;\u5c0f\u84dd\u4f1e \u524d\u7f6e&#xff1a;AI-0204 \u672c\u671f\u4ea7\u51fa&#xff1a;\u53ef\u8fd0\u884c\u7684\u961f\u5217\u4e0e\u53cc\u7aef\u961f\u5217\u7ec3\u4e60\u9879\u76ee\u4e0e\u5931\u8d25\u8f93\u5165\u9a8c\u8bc1<\/p>\n<p>\u5c0f\u84dd\u4f1e\u5728\u6392\u67e5\u4e00\u4e2a\u201c\u7ed3\u679c\u6ca1\u9519\u4f46\u8d8a\u6765\u8d8a\u6162\u201d\u7684\u4efb\u52a1\u65f6&#xff0c;\u5148\u628a\u95ee\u9898\u5f52\u548e\u4e8e\u673a\u5668\u6027\u80fd&#xff1b;\u771f\u6b63\u7684\u8bc1\u636e\u5374\u6765\u81ea\u4e00\u4e2a\u66f4\u5c0f\u7684\u6837\u672c&#xff1a;\u540c\u4e00\u4efd\u8f93\u5165\u5728\u8fb9\u754c\u6761\u4ef6\u4e0b\u7ed9\u51fa\u9519\u8bef\u7ed3\u679c&#xff0c;\u6216\u8005\u5728\u6570\u636e\u91cf\u7ffb\u500d\u540e\u8017\u65f6\u660e\u663e\u722c\u5347\u3002\u672c\u671f\u628a\u961f\u5217\u4e0e\u53cc\u7aef\u961f\u5217\u653e\u56de\u53ef\u89c2\u5bdf\u7684\u5de5\u7a0b\u73b0\u573a&#xff0c;\u4f7f\u7528 Windows\u3001Python 3.13.9&#xff08;\u6d89\u53ca NumPy \u65f6\u4e3a 2.3.5&#xff09;\u5b8c\u6210\u4e00\u4e2a\u53ef\u590d\u5236\u9879\u76ee\u3002\u8bfb\u8005\u6700\u7ec8\u80fd\u770b\u5230\u6b63\u5e38\u3001\u8fb9\u754c\u548c\u5931\u8d25\u4e09\u7c7b\u8f93\u51fa&#xff0c;\u5e76\u77e5\u9053\u4f55\u65f6\u5e94\u505c\u6b62\u7ee7\u7eed\u8c03\u7528\u3002<\/p>\n<h3>\u4e00\u3001\u5c0f\u84dd\u4f1e\u9047\u5230\u7684\u95ee\u9898<\/h3>\n<p>\u73b0\u8c61\u662f&#xff1a;\u5c0f\u89c4\u6a21\u6837\u672c\u901a\u8fc7&#xff0c;\u89c4\u6a21\u589e\u5927\u6216\u8f93\u5165\u987a\u5e8f\u6539\u53d8\u540e\u51fa\u73b0\u7ed3\u679c\u504f\u5dee\/\u8017\u65f6\u4e0a\u5347&#xff1b;\u65e5\u5fd7\u53ea\u6709\u201c\u5904\u7406\u5b8c\u6210\u201d&#xff0c;\u6ca1\u6709\u8bb0\u5f55\u8f93\u5165\u5f62\u72b6\u3001\u89c4\u6a21\u548c\u5206\u652f\u3002\u6700\u521d\u8bef\u5224\u662f\u7f51\u7edc\u6216\u8fd0\u884c\u65f6\u6296\u52a8&#xff0c;\u5f71\u54cd\u5374\u662f\u9519\u8bef\u7ed3\u679c\u7ee7\u7eed\u8fdb\u5165\u540e\u7eed\u6d41\u7a0b\u3002\u8fd9\u4e2a\u95ee\u9898\u4e0e\u524d\u51e0\u671f\u4e00\u8109\u76f8\u627f&#xff1a;\u7b97\u6cd5\u540d\u79f0\u5e76\u4e0d\u7b49\u4e8e\u590d\u6742\u5ea6\u627f\u8bfa&#xff0c;\u80fd\u8fd4\u56de\u6570\u5b57\u4e5f\u4e0d\u7b49\u4e8e\u6ee1\u8db3\u7ea6\u5b9a\u3002<\/p>\n<h3>\u4e8c\u3001\u5148\u7ed9\u7ed3\u8bba<\/h3>\n<p>\u5148\u5199\u6e05\u6570\u636e\u5951\u7ea6&#xff0c;\u518d\u9009\u62e9\u6570\u636e\u7ed3\u6784\u548c\u7b97\u6cd5&#xff1b;\u6b63\u5e38\u3001\u8fb9\u754c\u3001\u5931\u8d25\u8f93\u5165\u5fc5\u987b\u5206\u522b\u9a8c\u8bc1\u3002<\/p>\n<li>\n<p>\u63a8\u8350\u7528\u6807\u51c6\u5e93\u6216\u6210\u719f\u6570\u503c\u5e93\u627f\u62c5\u5e95\u5c42\u5b9e\u73b0&#xff0c;\u81ea\u5df1\u7684\u4ee3\u7801\u53ea\u4fdd\u7559\u53ef\u5ba1\u8ba1\u7684\u8fb9\u754c\u68c0\u67e5\u3002<\/p>\n<\/li>\n<li>\n<p>\u8bb0\u5f55\u89c4\u6a21\u3001\u5f62\u72b6\u3001\u7248\u672c\u548c\u8017\u65f6&#xff0c;\u907f\u514d\u628a\u5355\u6b21\u5076\u7136\u503c\u5199\u6210\u666e\u904d\u5b9a\u5f8b\u3002<\/p>\n<\/li>\n<li>\n<p>\u5bf9\u9519\u8bef\u8f93\u5165\u663e\u5f0f\u629b\u9519&#xff0c;\u4e0d\u7528\u7a7a\u7ed3\u679c\u3001\u9ed8\u8ba4\u503c\u6216\u622a\u65ad\u63a9\u76d6\u95ee\u9898\u3002<\/p>\n<\/li>\n<li>\n<p>\u7528\u9012\u589e\u6837\u672c\u505a\u5bf9\u7167&#xff0c;\u89c2\u5bdf\u589e\u957f\u5f62\u72b6&#xff0c;\u800c\u4e0d\u662f\u53ea\u6bd4\u8f83\u4e00\u6b21\u6beb\u79d2\u6570\u3002<\/p>\n<\/li>\n<li>\n<p>\u751f\u4ea7\u73af\u5883\u8fd8\u8981\u8865\u5e76\u53d1\u3001\u5185\u5b58\u3001\u6301\u4e45\u5316\u548c\u76d1\u63a7\u8bbe\u8ba1\u3002<\/p>\n<\/li>\n<h3>\u4e09\u3001\u672c\u6587\u8981\u89e3\u51b3\u4ec0\u4e48<\/h3>\n<table>\n<tr>\u9879\u76ee\u7ea6\u5b9a<\/tr>\n<tbody>\n<tr>\n<td>\u8f93\u5165<\/td>\n<td>\u5c0f\u6837\u672c\u3001\u8fb9\u754c\u6837\u672c\u548c\u4e00\u6761\u6545\u610f\u8fdd\u89c4\u6837\u672c<\/td>\n<\/tr>\n<tr>\n<td>\u8f93\u51fa<\/td>\n<td>\u6b63\u786e\u7ed3\u679c\u3001\u660e\u786e\u5f02\u5e38\u4e0e\u53ef\u89e3\u91ca\u7684\u5b9e\u9a8c\u8868<\/td>\n<\/tr>\n<tr>\n<td>\u73af\u5883<\/td>\n<td>Windows 11&#xff0c;Python 3.13.9&#xff1b;NumPy 2.3.5&#xff08;\u672c\u671f\u9700\u8981\u65f6&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u6210\u529f\u5224\u636e<\/td>\n<td>\u4ee3\u7801\u53ef\u8fd0\u884c&#xff0c;\u65ad\u8a00\u8986\u76d6\u6b63\u5e38\/\u8fb9\u754c\/\u5931\u8d25\u4e09\u7c7b\u8f93\u5165<\/td>\n<\/tr>\n<tr>\n<td>\u4e0d\u5728\u8303\u56f4<\/td>\n<td>\u5206\u5e03\u5f0f\u5b9e\u73b0\u3001\u751f\u4ea7\u538b\u6d4b\u3001\u8de8\u8bed\u8a00\u7edd\u5bf9\u6027\u80fd\u6392\u540d<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>\u56db\u3001\u524d\u7f6e\u51c6\u5907<\/h3>\n<p>\u521b\u5efa D:\\\\ai-learning\\\\issue-51&#xff0c;\u6267\u884c python &#8211;version&#xff1b;\u6d89\u53ca NumPy \u65f6\u6267\u884c python -c &#034;import numpy; print(numpy.__version__)&#034;\u3002\u5148\u590d\u5236\u539f\u59cb\u6837\u672c\u518d\u5b9e\u9a8c&#xff0c;\u4efb\u4f55\u8986\u76d6\u64cd\u4f5c\u90fd\u53ea\u4f5c\u7528\u4e8e\u7ec3\u4e60\u76ee\u5f55\u3002\u672c\u6587\u6570\u5b57\u662f\u672c\u673a\u6559\u5b66\u5fae\u57fa\u51c6&#xff0c;\u672a\u5728\u4f60\u7684\u673a\u5668\u6267\u884c\u7684\u6b65\u9aa4\u6807\u8bb0\u4e3a\u3010\u5efa\u8bae\u9a8c\u8bc1\u3011\u3002<\/p>\n<h3>\u4e94\u3001\u6838\u5fc3\u539f\u7406<\/h3>\n<p>\u961f\u5217\u4e0e\u53cc\u7aef\u961f\u5217\u7684\u5173\u952e\u4e0d\u662f\u80cc API&#xff0c;\u800c\u662f\u7406\u89e3\u7ea6\u5b9a\u5982\u4f55\u5f71\u54cd\u7ed3\u679c\u3002\u9519\u8bef\u5199\u6cd5\u901a\u5e38\u7701\u7565\u5c3a\u5bf8\u3001\u7a7a\u8f93\u5165\u6216\u91cd\u590d\u952e\u68c0\u67e5&#xff1b;\u6b63\u786e\u5199\u6cd5\u5728\u5165\u53e3\u5904\u9a8c\u8bc1&#xff0c;\u5e76\u5728\u4e2d\u95f4\u6b65\u9aa4\u4fdd\u7559\u80fd\u89e3\u91ca\u7ed3\u679c\u7684\u72b6\u6001\u3002\u4ee5\u672c\u671f\u9879\u76ee\u4e3a\u4f8b&#xff0c;\u4ee3\u7801\u628a\u201c\u8f93\u5165\u4e0d\u6ee1\u8db3\u6761\u4ef6\u201d\u53d8\u6210\u5f02\u5e38&#xff0c;\u628a\u201c\u6b63\u5e38\u7ed3\u679c\u201d\u53d8\u6210\u65ad\u8a00&#xff0c;\u8fd9\u6837\u8c03\u7528\u65b9\u4e0d\u4f1a\u628a\u9519\u8bef\u7ee7\u7eed\u4f20\u9012\u3002<\/p>\n<p>\u590d\u6742\u5ea6\u5224\u65ad\u8981\u548c\u5b9e\u9a8c\u5bf9\u5e94&#xff1a;\u82e5\u6bcf\u4e2a\u5143\u7d20\u53ea\u88ab\u8bbf\u95ee\u6709\u9650\u6b21&#xff0c;\u89c4\u6a21\u7ffb\u500d\u65f6\u8017\u65f6\u5e94\u63a5\u8fd1\u7ebf\u6027&#xff1b;\u82e5\u5185\u5c42\u5faa\u73af\u91cd\u65b0\u626b\u63cf\u5168\u90e8\u5019\u9009&#xff0c;\u8017\u65f6\u4f1a\u968f\u89c4\u6a21\u9661\u589e\u3002\u7edd\u5bf9\u6570\u53d7 CPU\u3001\u89e3\u91ca\u5668\u548c\u7f13\u5b58\u5f71\u54cd&#xff0c;\u589e\u957f\u5f62\u72b6\u66f4\u503c\u5f97\u6bd4\u8f83\u3002<\/p>\n<h3>\u516d\u3001\u5b8c\u6574\u9879\u76ee<\/h3>\n<p>\u628a\u4e0b\u9762\u4ee3\u7801\u4fdd\u5b58\u4e3a main.py&#xff0c;\u5b83\u5305\u542b\u6b63\u5e38\u8def\u5f84\u3001\u8fb9\u754c\u68c0\u67e5\u548c\u5931\u8d25\u8f93\u5165&#xff1a;<\/p>\n<p>from collections import deque<br \/>\n\u200b<br \/>\ndef window_max(nums, k):<br \/>\n \u00a0 \u00a0if not nums or k &lt; 1 or k &gt; len(nums):<br \/>\n \u00a0 \u00a0 \u00a0 \u00a0raise ValueError(&#034;\u7a97\u53e3\u957f\u5ea6\u4e0d\u5408\u6cd5&#034;)<br \/>\n \u00a0 \u00a0q, out &#061; deque(), []<br \/>\n \u00a0 \u00a0for i, value in enumerate(nums):<br \/>\n \u00a0 \u00a0 \u00a0 \u00a0while q and q[0] &lt;&#061; i &#8211; k:<br \/>\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0q.popleft()<br \/>\n \u00a0 \u00a0 \u00a0 \u00a0while q and nums[q[-1]] &lt;&#061; value:<br \/>\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0q.pop()<br \/>\n \u00a0 \u00a0 \u00a0 \u00a0q.append(i)<br \/>\n \u00a0 \u00a0 \u00a0 \u00a0if i &gt;&#061; k &#8211; 1:<br \/>\n \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0out.append(nums[q[0]])<br \/>\n \u00a0 \u00a0return out<br \/>\n\u200b<br \/>\nassert window_max([1, 3, 2, 5, 4], 3) &#061;&#061; [3, 5, 5]<br \/>\nprint(&#034;queue checks passed&#034;) <\/p>\n<p>\u8fd0\u884c\u547d\u4ee4&#xff1a;cd D:\\\\ai-learning\\\\issue-51; python main.py\u3002\u9884\u671f\u8f93\u51fa\u4e3a \u961f\u5217\u4e0e\u53cc\u7aef\u961f\u5217 checks passed\u3002\u628a\u65ad\u8a00\u4e2d\u7684\u7ef4\u5ea6\u3001\u7a7a\u8f93\u5165\u6216\u975e\u6cd5\u53c2\u6570\u6539\u574f\u540e&#xff0c;\u9884\u671f\u51fa\u73b0 ValueError \u6216\u65ad\u8a00\u5931\u8d25&#xff1b;\u8fd9\u4e00\u6b65\u662f\u9a8c\u8bc1\u6d4b\u8bd5\u771f\u7684\u80fd\u6293\u4f4f\u56de\u5f52\u7684\u5173\u952e\u3002<\/p>\n<h3>\u4e03\u3001\u53ef\u590d\u73b0\u5931\u8d25\u6848\u4f8b<\/h3>\n<p>\u6545\u969c\u73b0\u8c61&#xff1a;\u8f93\u5165\u89c4\u6a21\u4ece 1,000 \u589e\u81f3 8,000 \u540e&#xff0c;\u8017\u65f6\u6216\u9519\u8bef\u7387\u5f02\u5e38&#xff1b;\u5f71\u54cd\u662f\u4e0a\u6e38\u8bef\u4ee5\u4e3a\u4e1a\u52a1\u9ad8\u5cf0&#xff0c;\u7ee7\u7eed\u589e\u52a0\u91cd\u8bd5\u3002\u6700\u521d\u8bef\u5224&#xff1a;\u673a\u5668\u3001\u7f51\u7edc\u6216\u7b2c\u4e09\u65b9\u5e93\u4e0d\u7a33\u5b9a\u3002\u6392\u67e5\u987a\u5e8f&#xff1a;\u5148\u6253\u5370\u7248\u672c\u548c\u8f93\u5165\u5951\u7ea6&#xff0c;\u518d\u7528\u6700\u5c0f\u6837\u672c\u590d\u73b0&#xff0c;\u6700\u540e\u7528 1,000\/4,000\/8,000 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