{"id":176320,"date":"2024-05-08T19:08:41","date_gmt":"2024-05-08T11:08:41","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/176320.html"},"modified":"2024-05-08T19:08:47","modified_gmt":"2024-05-08T11:08:47","slug":"python%e6%b1%82sinx%e8%bf%91%e4%bc%bc%e5%80%bc%e6%80%8e%e4%b9%88%e6%b1%82%e5%91%a2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/176320.html","title":{"rendered":"python\u6c42sinx\u8fd1\u4f3c\u503c\u600e\u4e48\u6c42\u5462"},"content":{"rendered":"<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/27055843\/c886ebdb-7a86-4a55-81ae-a35479e82dec.webp\" alt=\"python\u6c42sinx\u8fd1\u4f3c\u503c\u600e\u4e48\u6c42\u5462\" \/><\/p>\n<p><p>\u5b9e\u73b0Python\u6c42sin(x)\u7684\u8fd1\u4f3c\u503c\uff0c\u5173\u952e\u5728\u4e8e\u5229\u7528<strong>\u6cf0\u52d2\u5c55\u5f00\u5f0f<\/strong>\u8fdb\u884c\u8fd1\u4f3c\u8ba1\u7b97\u3001<strong>\u5faa\u73af\u6216\u9012\u5f52<\/strong>\u6765\u5b9e\u73b0\u591a\u9879\u5f0f\u7684\u8ba1\u7b97\u3001<strong>\u8003\u8651\u8ba1\u7b97\u6027\u80fd\u548c\u7cbe\u786e\u5ea6\u7684\u5e73\u8861<\/strong>\u3002\u6cf0\u52d2\u5e8f\u5217\u662f\u4e00\u79cd\u5229\u7528\u591a\u9879\u5f0f\u6765\u8fd1\u4f3c\u8868\u793a\u51fd\u6570\u7684\u65b9\u6cd5\uff0c\u5bf9\u4e8esin(x)\uff0c\u5176\u6cf0\u52d2\u5c55\u5f00\u5f0f\u4e3a\uff1asin(x) = x &#8211; x^3\/3! + x^5\/5! &#8211; x^7\/7! + &#8230;\uff0c\u901a\u8fc7\u8fd9\u4e2a\u5e8f\u5217\uff0c\u6211\u4eec\u53ef\u4ee5\u8fd1\u4f3c\u8ba1\u7b97sin(x)\u7684\u503c\u3002<\/p>\n<\/p>\n<p><p>\u5c55\u5f00\u8be6\u7ec6\u63cf\u8ff0\u6cf0\u52d2\u5c55\u5f00\u5f0f\u548c\u5b83\u5728\u8fd9\u4e2a\u95ee\u9898\u4e2d\u7684\u5e94\u7528\u3002\u6cf0\u52d2\u5c55\u5f00\u5f0f\u7684\u6838\u5fc3\u601d\u60f3\u662f\u5c06\u4e00\u4e2a\u5728\u67d0\u4e00\u70b9\u53ef\u5bfc\u7684\u590d\u6742\u51fd\u6570\uff0c\u7528\u8be5\u70b9\u9644\u8fd1\u7684\u4e00\u4e2a\u591a\u9879\u5f0f\u6765\u8fd1\u4f3c\u8868\u793a\u3002\u5bf9\u4e8esin(x)\uff0c\u5176\u5728x=0\u9644\u8fd1\u7684\u6cf0\u52d2\u5c55\u5f00\u5f0f\u662f\u4e00\u4e2a\u65e0\u7a77\u7ea7\u6570\uff0c\u7531\u4ea4\u9519\u7684\u6b63\u8d1f\u9879\u7ec4\u6210\uff0c\u6bcf\u4e00\u9879\u90fd\u662fx\u7684\u5947\u6570\u5e42\u9664\u4ee5\u8be5\u5947\u6570\u7684\u9636\u4e58\u3002\u8fd9\u4e2a\u7ea7\u6570\u968f\u7740\u9879\u6570\u7684\u589e\u52a0\u800c\u9010\u6e10\u903c\u8fd1\u771f\u5b9e\u7684sin(x)\u503c\u3002\u5728\u5b9e\u9645\u8ba1\u7b97\u4e2d\uff0c\u6211\u4eec\u901a\u5e38\u53d6\u524d\u51e0\u9879\u8fdb\u884c\u8ba1\u7b97\uff0c\u4ee5\u83b7\u5f97\u4e00\u4e2a\u8fd1\u4f3c\u503c\u3002\u9009\u62e9\u591a\u5c11\u9879\u4f9d\u8d56\u4e8e\u9700\u8981\u7684\u7cbe\u5ea6\u548c\u8ba1\u7b97\u8d44\u6e90\u3002<\/p>\n<\/p>\n<p><h2>\u4e00\u3001\u6cf0\u52d2\u5c55\u5f00\u6cd5\u4ecb\u7ecd<\/h2>\n<\/p>\n<p><p>\u6cf0\u52d2\u5c55\u5f00\u662f\u4e00\u79cd\u6570\u5b66\u65b9\u6cd5\uff0c\u7528\u4e8e\u5c06\u590d\u6742\u51fd\u6570\u8868\u793a\u4e3a\u5176\u5bfc\u6570\u5728\u67d0\u4e00\u70b9\u7684\u548c\u7684\u5f62\u5f0f\u3002\u5bf9\u4e8esin(x)\uff0c\u5176\u6cf0\u52d2\u5c55\u5f00\u5f0f\u53ef\u4ee5\u5199\u4e3a\uff1a<\/p>\n<\/p>\n<p><p>sin(x) = x &#8211; x^3\/3! + x^5\/5! &#8211; x^7\/7! &#8230; <\/p>\n<\/p>\n<p><p>\u8fd9\u4e2a\u7ea7\u6570\u4e2d\uff0c\u6bcf\u4e00\u9879\u90fd\u662fx\u7684\u4e00\u4e2a\u66f4\u9ad8\u5947\u6570\u5e42\u9664\u4ee5\u8fd9\u4e2a\u5947\u6570\u7684\u9636\u4e58\u3002\u901a\u8fc7\u8db3\u591f\u591a\u7684\u9879\uff0c\u6211\u4eec\u53ef\u4ee5\u5f97\u5230\u4e00\u4e2a\u975e\u5e38\u7cbe\u786e\u7684\u8fd1\u4f3c\u503c\u3002<\/p>\n<\/p>\n<p><h2>\u4e8c\u3001Python\u5b9e\u73b0\u57fa\u7840\u7248<\/h2>\n<\/p>\n<p><p>\u5728Python\u4e2d\u5b9e\u73b0sin(x)\u7684\u8fd1\u4f3c\u8ba1\u7b97\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u8bed\u53e5\u6765\u9010\u6b65\u52a0\u5165\u7ea7\u6570\u4e2d\u7684\u5404\u9879\u3002\u521d\u6b65\u7684\u5b9e\u73b0\u53ef\u4ee5\u662f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import math<\/p>\n<p>def sinx_approx(x, n):<\/p>\n<p>    result = 0<\/p>\n<p>    for i in range(n):<\/p>\n<p>        term = (-1)i * x(2*i+1) \/ math.factorial(2*i+1)<\/p>\n<p>        result += term<\/p>\n<p>    return result<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u51fd\u6570\u5229\u7528\u4e86\u4e00\u4e2a\u5faa\u73af\u6765\u8ba1\u7b97x\u7684\u6cf0\u52d2\u5c55\u5f00\uff0c\u5e76\u901a\u8fc7\u53c2\u6570<code>n<\/code>\u6765\u63a7\u5236\u7ea7\u6570\u4e2d\u7684\u9879\u6570\u3002<\/p>\n<\/p>\n<p><h2>\u4e09\u3001\u8003\u8651\u89d2\u5ea6\u5355\u4f4d\u8f6c\u6362<\/h2>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u4f7f\u7528\u4e2d\uff0cx\u901a\u5e38\u662f\u4ee5\u5ea6\u4e3a\u5355\u4f4d\u7ed9\u51fa\u7684\uff0c\u800c\u6570\u5b66\u8ba1\u7b97\u4e2d\u4f7f\u7528\u7684\u662f\u5f27\u5ea6\u3002\u56e0\u6b64\uff0c\u9700\u8981\u5c06\u5ea6\u8f6c\u6362\u4e3a\u5f27\u5ea6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import math<\/p>\n<p>def degree_to_radian(degree):<\/p>\n<p>    return degree * math.pi \/ 180<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u51fd\u6570\uff0c\u53ef\u4ee5\u5728\u6c42sin(x)\u7684\u8fd1\u4f3c\u503c\u4e4b\u524d\uff0c\u5148\u5c06\u89d2\u5ea6\u4ece\u5ea6\u6570\u8f6c\u6362\u4e3a\u5f27\u5ea6\u3002<\/p>\n<\/p>\n<p><h2>\u56db\u3001\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u4e0e\u51c6\u786e\u5ea6<\/h2>\n<\/p>\n<p><p>\u4e3a\u4e86\u63d0\u9ad8\u8ba1\u7b97\u7684\u6548\u7387\u4e0e\u51c6\u786e\u5ea6\uff0c\u53ef\u4ee5\u8003\u8651\u4ee5\u4e0b\u51e0\u70b9\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u7ec8\u6b62\u6761\u4ef6<\/strong>\uff1a\u5728\u6cf0\u52d2\u5c55\u5f00\u5f0f\u7684\u8ba1\u7b97\u8fc7\u7a0b\u4e2d\uff0c\u65b0\u52a0\u5165\u7684\u6bcf\u4e00\u9879\u90fd\u4f1a\u8d8a\u6765\u8d8a\u5c0f\uff0c\u5f53\u65b0\u52a0\u7684\u9879\u5c0f\u4e8e\u67d0\u4e2a\u9608\u503c\u65f6\uff08\u6bd4\u59821e-10\uff09\uff0c\u53ef\u4ee5\u8ba4\u4e3a\u5176\u5bf9\u7ed3\u679c\u7684\u5f71\u54cd\u5fae\u4e4e\u5176\u5fae\uff0c\u6b64\u65f6\u53ef\u4ee5\u7ec8\u6b62\u5faa\u73af\u3002<\/li>\n<li><strong>\u7f13\u5b58\u8ba1\u7b97<\/strong>\uff1a\u5728\u8fde\u7eed\u8ba1\u7b97\u6bcf\u4e00\u9879\u65f6\uff0c\u53ef\u4ee5\u5229\u7528\u524d\u4e00\u9879\u7684\u7ed3\u679c\u6765\u7b80\u5316\u8ba1\u7b97\u3002\u6bd4\u5982\uff0c\u53ef\u4ee5\u5728\u6bcf\u4e00\u6b65\u8bb0\u5f55x\u7684\u5e42\u548c\u5f53\u524d\u9636\u4e58\u7684\u503c\uff0c\u907f\u514d\u91cd\u590d\u8ba1\u7b97\u3002<\/li>\n<\/ul>\n<p><p>\u4e00\u4e2a\u8003\u8651\u4e86\u4e0a\u8ff0\u4f18\u5316\u7684sin(x)\u8fd1\u4f3c\u8ba1\u7b97\u51fd\u6570\u53ef\u80fd\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def sinx_approx_efficient(x, threshold=1e-10):<\/p>\n<p>    result, term, i = x, x, 1<\/p>\n<p>    while abs(term) &gt; threshold:<\/p>\n<p>        term *= -x2 \/ ((2*i) * (2*i+1))<\/p>\n<p>        result += term<\/p>\n<p>        i += 1<\/p>\n<p>    return result<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e94\u3001\u5e94\u7528\u5b9e\u4f8b<\/h2>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u53ef\u7528\u4e8e\u8ba1\u7b97sin(x)\uff0c\u8fd8\u53ef\u4ee5\u5e94\u7528\u4e8e\u5176\u4ed6\u51fd\u6570\u7684\u8fd1\u4f3c\u8ba1\u7b97\uff0c\u5982cos(x)\u3001e^x\u7b49\u3002\u901a\u8fc7\u8c03\u6574\u6cf0\u52d2\u5c55\u5f00\u5f0f\u7684\u516c\u5f0f\u548c\u589e\u52a0\u7684\u9879\u6570\uff0c\u53ef\u4ee5\u5f97\u5230\u5404\u79cd\u51fd\u6570\u7684\u8fd1\u4f3c\u503c\u3002<\/p>\n<\/p>\n<p><p>\u5b9e\u73b0sin(x)\u8fd1\u4f3c\u503c\u7684\u8ba1\u7b97\u4e0d\u4ec5\u662f\u4e00\u4e2a\u6709\u8da3\u7684\u7f16\u7a0b\u7ec3\u4e60\uff0c\u4e5f\u4f53\u73b0\u4e86\u6570\u5b66\u5728\u5b9e\u9645\u95ee\u9898\u4e2d\u7684\u5e94\u7528\u3002\u901a\u8fc7\u6cf0\u52d2\u5c55\u5f00\uff0c\u6211\u4eec\u53ef\u4ee5\u8fd1\u4f3c\u5730\u89e3\u51b3\u539f\u672c\u9700\u8981\u590d\u6742\u8ba1\u7b97\u7684\u95ee\u9898\uff0c\u540c\u65f6\u4e5f\u80fd\u5bf9\u51fd\u6570\u7684\u6027\u8d28\u6709\u66f4\u6df1\u5165\u7684\u7406\u89e3\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p><strong>1.<\/strong> \u5982\u4f55\u4f7f\u7528Python\u8ba1\u7b97sinx\u7684\u8fd1\u4f3c\u503c\uff1f<\/p>\n<ul>\n<li>Python\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5185\u7f6e\u7684\u6570\u5b66\u5e93<code>math<\/code>\uff0c\u5176\u4e2d\u5305\u542b\u4e86\u7528\u4e8e\u8ba1\u7b97\u5404\u79cd\u4e09\u89d2\u51fd\u6570\u7684\u51fd\u6570\u3002\u4f7f\u7528<code>math.sin()<\/code>\u51fd\u6570\u53ef\u4ee5\u8ba1\u7b97sinx\u7684\u7cbe\u786e\u503c\uff0c\u4f46\u662f\u5b83\u53ea\u9002\u7528\u4e8e\u4e00\u4e2a\u7279\u5b9a\u8303\u56f4\u7684\u89d2\u5ea6\u3002\u5982\u679c\u8981\u8ba1\u7b97sinx\u7684\u8fd1\u4f3c\u503c\uff0c\u53ef\u4ee5\u901a\u8fc7\u6cf0\u52d2\u7ea7\u6570\u5c55\u5f00\u6765\u5b9e\u73b0\u3002<\/li>\n<li>\u4f7f\u7528\u6cf0\u52d2\u7ea7\u6570\u5c55\u5f00\u53ef\u4ee5\u5c06sinx\u8868\u793a\u4e3a\u65e0\u7a77\u7ea7\u6570\u7684\u5f62\u5f0f\uff0c\u5176\u4e2d\u5305\u542b\u4e86\u4e0d\u540c\u9636\u7684\u5e42\u548c\u7cfb\u6570\u3002\u901a\u8fc7\u622a\u53d6\u7ea7\u6570\u7684\u4e00\u90e8\u5206\uff0c\u53ef\u4ee5\u83b7\u5f97sinx\u7684\u8fd1\u4f3c\u503c\u3002\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u7ed3\u6784\u6765\u8ba1\u7b97\u7ea7\u6570\uff0c\u5e76\u4e0d\u65ad\u7d2f\u52a0\u5230\u8fd1\u4f3c\u503c\u4e2d\uff0c\u76f4\u5230\u6ee1\u8db3\u6240\u9700\u7684\u7cbe\u5ea6\u4e3a\u6b62\u3002<\/li>\n<\/ul>\n<p><strong>2.<\/strong> Python\u4e2d\u5982\u4f55\u8fdb\u4e00\u6b65\u63d0\u9ad8sinx\u7684\u8fd1\u4f3c\u503c\u7684\u7cbe\u5ea6\uff1f<\/p>\n<ul>\n<li>\u5f53\u4f7f\u7528\u6cf0\u52d2\u7ea7\u6570\u5c55\u5f00\u8ba1\u7b97sinx\u7684\u8fd1\u4f3c\u503c\u65f6\uff0c\u8003\u8651\u589e\u52a0\u7ea7\u6570\u9879\u7684\u6570\u91cf\u53ef\u4ee5\u63d0\u9ad8\u8fd1\u4f3c\u503c\u7684\u7cbe\u5ea6\u3002\u589e\u52a0\u7ea7\u6570\u9879\u7684\u6570\u91cf\u5c06\u4f7f\u8fd1\u4f3c\u503c\u66f4\u63a5\u8fd1\u4e8esinx\u7684\u5b9e\u9645\u503c\u3002\u56e0\u6b64\uff0c\u5728\u5faa\u73af\u4e2d\u589e\u52a0\u7ea7\u6570\u9879\u7684\u6570\u91cf\uff0c\u53ef\u4ee5\u9010\u6b65\u6539\u5584sinx\u7684\u8fd1\u4f3c\u503c\u7684\u7cbe\u5ea6\u3002<\/li>\n<li>\u53e6\u4e00\u4e2a\u53ef\u4ee5\u63d0\u9ad8\u7cbe\u5ea6\u7684\u65b9\u6cd5\u662f\u589e\u52a0\u8fed\u4ee3\u7684\u6b21\u6570\u3002\u901a\u8fc7\u5faa\u73af\u8fed\u4ee3\u8ba1\u7b97\u8fd1\u4f3c\u503c\u7684\u8fc7\u7a0b\u4e2d\uff0c\u589e\u52a0\u8fed\u4ee3\u7684\u6b21\u6570\u5c06\u4f7f\u8fd1\u4f3c\u503c\u66f4\u63a5\u8fd1\u4e8e\u771f\u5b9e\u503c\u3002\u53ef\u4ee5\u4f7f\u7528\u9012\u5f52\u6216\u8fed\u4ee3\u7684\u65b9\u6cd5\uff0c\u6839\u636e\u9700\u8981\u589e\u52a0\u8ba1\u7b97\u6b21\u6570\u3002<\/li>\n<\/ul>\n<p><strong>3.<\/strong> \u9664\u4e86\u6cf0\u52d2\u7ea7\u6570\u5c55\u5f00\uff0c\u8fd8\u6709\u54ea\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u7528\u4e8e\u8ba1\u7b97sinx\u7684\u8fd1\u4f3c\u503c\uff1f<\/p>\n<ul>\n<li>\u9664\u4e86\u6cf0\u52d2\u7ea7\u6570\u5c55\u5f00\uff0c\u8fd8\u6709\u5176\u4ed6\u6570\u503c\u8ba1\u7b97\u65b9\u6cd5\u53ef\u4ee5\u7528\u4e8e\u8ba1\u7b97sinx\u7684\u8fd1\u4f3c\u503c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u6709\u9650\u5dee\u5206\u6cd5\uff0c\u901a\u8fc7\u4f7f\u7528\u79bb\u6563\u7684\u6570\u636e\u70b9\u6765\u903c\u8fd1\u8fde\u7eed\u51fd\u6570\uff0c\u4ece\u800c\u5f97\u5230sinx\u7684\u8fd1\u4f3c\u503c\u3002<\/li>\n<li>\u53e6\u4e00\u79cd\u65b9\u6cd5\u662f\u4f7f\u7528\u63d2\u503c\u6280\u672f\uff0c\u5c06\u5df2\u77e5\u7684\u51fd\u6570\u503c\u63d2\u5165\u5230\u4e00\u4e2a\u66f4\u5bc6\u96c6\u7684\u7f51\u683c\u4e2d\uff0c\u4ece\u800c\u5f97\u5230sinx\u7684\u8fd1\u4f3c\u503c\u3002\u8fd9\u79cd\u65b9\u6cd5\u901a\u5e38\u8981\u6c42\u5df2\u77e5\u7684\u51fd\u6570\u503c\u5c3d\u53ef\u80fd\u63a5\u8fd1\u6240\u9700\u7684\u8fd1\u4f3c\u503c\u3002<\/li>\n<li>\u8fd8\u6709\u5176\u4ed6\u4e00\u4e9b\u7279\u6b8a\u7684\u8fd1\u4f3c\u65b9\u6cd5\uff0c\u5982\u5207\u6bd4\u96ea\u592b\u591a\u9879\u5f0f\u8fd1\u4f3c\u548c\u62c9\u683c\u6717\u65e5\u63d2\u503c\u7b49\uff0c\u90fd\u53ef\u4ee5\u7528\u4e8e\u8ba1\u7b97sinx\u7684\u8fd1\u4f3c\u503c\u3002\u9009\u62e9\u9002\u5f53\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6240\u9700\u7684\u7cbe\u5ea6\u548c\u5e94\u7528\u573a\u666f\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"\u5b9e\u73b0Python\u6c42sin(x)\u7684\u8fd1\u4f3c\u503c\uff0c\u5173\u952e\u5728\u4e8e\u5229\u7528\u6cf0\u52d2\u5c55\u5f00\u5f0f\u8fdb\u884c\u8fd1\u4f3c\u8ba1\u7b97\u3001\u5faa\u73af\u6216\u9012\u5f52\u6765\u5b9e\u73b0\u591a\u9879\u5f0f\u7684\u8ba1\u7b97\u3001\u8003\u8651 [&hellip;]","protected":false},"author":3,"featured_media":176325,"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\/176320"}],"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=176320"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/176320\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/176325"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=176320"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=176320"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=176320"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}