{"id":112703,"date":"2026-10-04T15:25:30","date_gmt":"2026-10-04T07:25:30","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/112703.html"},"modified":"2026-10-04T15:25:30","modified_gmt":"2026-10-04T07:25:30","slug":"%e7%94%a8%e5%8d%8e%e4%b8%ba%e4%ba%91%e7%a0%81%e9%81%93-codearts-%e4%bb%a3%e7%a0%81%e6%99%ba%e8%83%bd%e4%bd%93%e5%81%9a%e4%b8%80%e4%b8%aa%e4%bc%9a%e7%ae%97%e9%a2%98%e7%9a%84%e7%83%9f%e8%8a%b1%ef%bc%9a","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/112703.html","title":{"rendered":"\u7528\u534e\u4e3a\u4e91\u7801\u9053 CodeArts \u4ee3\u7801\u667a\u80fd\u4f53\u505a\u4e00\u4e2a\u4f1a\u7b97\u9898\u7684\u70df\u82b1\uff1a\u70b9\u706b\u524d\u6211\u7b97\u51fa\u6700\u9ad8\u70b9 214.3m\u3001\u6ede\u7a7a 12.0s\uff0c\u79ef\u5206\u5b9e\u6d4b\u8bef\u5dee 0.24%"},"content":{"rendered":"

\u4f1a\u7b97\u9898\u7684\u70df\u82b1：\u70b9\u706b\u524d\u6211\u7b97\u51fa\u6700\u9ad8\u70b9 214.3m\u3001\u6ede\u7a7a 12.0s，\u79ef\u5206\u5b9e\u6d4b\u8bef\u5dee 0.24%<\/h2>\n

**\u4e00\u952e\u5f00\u901a\u534e\u4e3a\u4e91\u7801\u9053 CodeArts \u4ee3\u7801\u667a\u80fd\u4f53： **https:\/\/developer.huaweicloud.com\/codeartsco.html?source=dmzntgwatomgit1&sourcead=dmzntgwatomgithd<\/p>\n

\u4f5c\u54c1\u4ecb\u7ecd<\/h3>\n

\u300c\u4f1a\u7b97\u9898\u7684\u70df\u82b1\u300d\u662f\u4e00\u4e2a\u7eaf\u524d\u7aef\u7f51\u9875：\u591c\u7a7a\u91cc\u6bcf\u653e\u4e00\u53d1\u70df\u82b1，\u5728\u70b9\u706b\u4e4b\u524d，\u5b83\u5148\u7528\u629b\u4f53\u516c\u5f0f\u628a\u8fd9\u4e00\u53d1\u7684\u6700\u9ad8\u70b9\u3001\u6ede\u7a7a\u3001\u843d\u70b9\u7b97\u51fa\u6765；\u70b8\u5b8c\u4e4b\u540e，\u518d\u7528\u6570\u503c\u79ef\u5206\u628a\u5b9e\u9645\u98de\u51fa\u6765\u7684\u8f68\u8ff9\u6d4b\u4e00\u904d，\u4e24\u4e2a\u6570\u6446\u5728\u4e00\u8d77\u5bf9\u7b54\u6848\u3002\u8bef\u5dee\u8868\u5e38\u5e74\u6302\u5728\u7b2c\u4e00\u5c4f，\u6700\u9ad8\u70b9\u8bef\u5dee 0.2% \u4e0a\u4e0b\u3002\u5168\u7a0b\u96f6\u7b2c\u4e09\u65b9\u4f9d\u8d56，29 \u9879\u6d4b\u8bd5\u5168\u7eff，\u540c\u4e00\u9897\u79cd\u5b50\u80fd\u9010\u5e27\u91cd\u653e\u3002<\/p>\n

\u8bf4\u767d\u4e86，\u5b83\u60f3\u89e3\u51b3\u4e00\u4e2a\u6211\u5f88\u70e6\u7684\u73b0\u8c61：\u6ee1\u5c4f\u7684\u300c\u7c92\u5b50\u70df\u82b1\u300d\u5176\u5b9e\u662f\u968f\u673a\u901f\u5ea6\u5411\u91cf\u778e\u5d29，\u8ddf\u7269\u7406\u6ca1\u534a\u6bdb\u94b1\u5173\u7cfb\u3002\u6211\u60f3\u505a\u4e00\u53d1\u7b97\u5f97\u51fa\u6765\u3001\u5bf9\u5f97\u4e0a\u7b54\u6848\u7684\u70df\u82b1\u3002<\/p>\n

\u4e00\u3001\u4e3a\u4ec0\u4e48\u505a\u300c\u4f1a\u7b97\u9898\u7684\u70df\u82b1\u300d，\u800c\u4e0d\u662f\u53c8\u4e00\u4e2a\u7c92\u5b50\u7279\u6548<\/h3>\n

CodePen \u4e0a\u968f\u4fbf\u4e00\u641c\u300cfireworks canvas\u300d\u51e0\u767e\u4e2a，\u90fd\u633a\u597d\u770b\u3002\u4f46\u6252\u5f00\u770b，\u7edd\u5927\u591a\u6570\u662f：\u7ed9\u7c92\u5b50\u4e00\u4e2a\u968f\u673a\u65b9\u5411\u3001\u968f\u673a\u901f\u5ea6\u3001\u52a0\u4e2a\u91cd\u529b\u5f80\u4e0b\u6389\u3001\u900f\u660e\u5ea6\u8870\u51cf\u5230\u6d88\u5931\u3002\u597d\u770b，\u4f46\u4f60\u95ee\u5b83\u300c\u8fd9\u53d1\u6700\u9ad8\u80fd\u98de\u591a\u9ad8\u300d，\u5b83\u7b54\u4e0d\u4e0a\u6765\u2014\u2014\u56e0\u4e3a\u6839\u672c\u6ca1\u6709\u7269\u7406，\u53ea\u6709\u968f\u673a\u6570\u3002<\/p>\n

\u6211\u8f83\u52b2\u7684\u70b9\u5c31\u5728\u8fd9：\u80fd\u4e0d\u80fd\u8ba9\u6bcf\u4e00\u53d1\u70df\u82b1\u90fd\u5148\u62a5\u7b54\u6848\u3001\u518d\u9a8c\u8bc1\u3002\u70b9\u706b\u524d\u7528 h = v0\u00b2\u00b7sin\u00b2\u03b8 \/ 2g \u7b97\u51fa\u6700\u9ad8\u70b9，\u70b8\u5b8c\u7528\u79ef\u5206\u8dd1\u51fa\u5b9e\u6d4b\u503c，\u8bef\u5dee\u6446\u51fa\u6765\u7ed9\u4eba\u770b\u3002\u8fd9\u4e48\u4e00\u6765，\u8bc4\u59d4\u7684\u5224\u65ad\u9898（\u597d\u4e0d\u597d\u770b）\u5c31\u88ab\u6211\u6362\u6210\u4e86\u5ba2\u89c2\u9898（\u51c6\u4e0d\u51c6）\u2014\u2014\u8fd9\u5200，\u662f\u6211\u6574\u4e2a\u9879\u76ee\u6700\u60f3\u5207\u4e0b\u53bb\u7684\u5730\u65b9\u3002<\/p>\n

\u4e8c\u3001\u5148\u8dd1\u8d77\u6765\u770b<\/h3>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u6253\u5f00\u7f51\u9875，\u7b2c\u4e00\u5c4f\u4e0d\u662f\u591c\u7a7a，\u662f\u8fd9\u5f20\u8868：\u6bcf\u53d1\u70df\u82b1\u4e00\u884c，\u5217\u51fa\u9884\u6d4b\u6700\u9ad8\u70b9 \/ \u5b9e\u6d4b\u6700\u9ad8\u70b9 \/ \u8bef\u5dee \/ \u9884\u6d4b\u6ede\u7a7a \/ \u5b9e\u6d4b\u6ede\u7a7a \/ \u8bef\u5dee\u3002\u4f60\u4f1a\u770b\u5230\u8bef\u5dee\u5e38\u5e74\u8db4\u5728 0.2%~0.26%（\u6ede\u7a7a 0.04%~0.13%）\u3002\u8868\u4e0b\u9762\u4e00\u884c\u5c0f\u5b57\u5199\u660e\u300c\u540c\u6a21\u578b drag=0 \u5bf9\u62cd \u00b7 \u8bef\u5dee=\u79ef\u5206\u8bef\u5dee\u300d\u2014\u2014\u8fd9\u53e5\u5f88\u5173\u952e，\u7b2c\u516d\u8282\u89e3\u91ca\u3002<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u70df\u82b1\u672c\u8eab\u4e5f\u597d\u770b：\u56fd\u5e86\u7ea2\u548c\u9999\u69df\u91d1\u7684\u7c92\u5b50，\u70b8\u5f00\u662f\u4e00\u4e2a\u4e2a\u4eae\u70b9\u6269\u6563\u7684\u73af，\u5e26\u91cd\u529b + \u7a7a\u6c14\u963b\u529b\u5f80\u4e0b\u5760\u3001\u62d6\u7740\u8870\u51cf\u7684\u5c3e\u7130\u3002\u80fd\u70b9\u753b\u5e03\u53d1\u5c04\u3001\u80fd\u81ea\u52a8\u8fde\u653e\u3001\u80fd\u4e00\u952e\u6e05\u7a7a\u3002<\/p>\n

\u4e09\u3001\u63d0\u793a\u8bcd：\u628a\u300c\u53ef\u9a8c\u8bc1\u300d\u9489\u6b7b\u5230\u51fd\u6570\u7ea7<\/h3>\n

\u6211\u6ca1\u8ddf\u7801\u9053\u8bf4\u300c\u505a\u4e2a\u70df\u82b1\u7279\u6548\u300d，\u90a3\u79cd\u4e00\u53e5\u8bdd\u9700\u6c42\u51fa\u6765\u7684\u5fc5\u7136\u662f\u968f\u673a\u7c92\u5b50\u3002\u6211\u4e00\u5f00\u59cb\u5c31\u628a\u9700\u6c42\u9489\u5230\u51fd\u6570\u7b7e\u540d\u548c\u5224\u636e：<\/p>\n

predictor.js：\u53ea\u7528\u95ed\u5f0f\u89e3\u7b97 h=v0\u00b2sin\u00b2\u03b8\/2g\u3001T=2v0sin\u03b8\/g\u3001R=v0\u00b2sin2\u03b8\/g\u3002
\nverifier.js：\u7528 stepShell \u6570\u503c\u79ef\u5206（\u534a\u9690\u5f0f\u6b27\u62c9 + \u4e8c\u6b21\u963b\u529b）\u8dd1\u51fa\u5b9e\u6d4b h\/T\/R\u3002
\n\u4e24\u8005\u5fc5\u987b\u72ec\u7acb\u5b9e\u73b0，\u4e0d\u5f97\u4e92\u76f8\u8c03\u7528；\u8bef\u5dee\u8868\u6bd4\u7684\u662f\u300c\u95ed\u5f0f vs \u79ef\u5206\u300d，\u4e0d\u662f\u516c\u5f0f\u5bf9\u516c\u5f0f\u3002
\nphysics\/render\/app \u5206\u5c42，\u7eaf\u51fd\u6570\u4e0d fetch\u3001\u4e0d\u8bfb\u65f6\u949f\u3001\u4e0d\u7528 Math.random，dt\/seed \u4f5c\u53c2\u6570\u3002<\/p>\n

\u8fd9\u6761\u300c\u4e24\u8005\u72ec\u7acb\u5b9e\u73b0\u300d\u662f\u547d\u95e8\u3002\u540e\u6765\u4e09\u8f6e\u4e13\u5bb6\u8bc4\u5ba1\u91cc，\u6280\u672f\u4e13\u5bb6\u4e13\u95e8\u76ef\u7740\u5b83\u95ee：\u5982\u679c predictor \u548c verifier \u5171\u7528\u540c\u4e00\u5957\u79ef\u5206\u5668，\u8bef\u5dee\u5c0f\u662f\u6570\u5b66\u5fc5\u7136，\u90a3\u53ea\u80fd\u8bc1\u660e\u6570\u503c\u7a33\u5b9a，\u8bc1\u660e\u4e0d\u4e86\u7269\u7406\u5bf9\u3002\u8fd9\u5c31\u662f\u5dee\u70b9\u8ba9\u6211\u7ffb\u8f66\u7684\u81ea\u8bc1\u5faa\u73af，\u7b2c\u4e03\u8282\u7ec6\u8bf4\u3002<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u56db\u3001\u67b6\u6784：\u628a\u300c\u9884\u8a00\u300d\u548c\u300c\u9a8c\u8bc1\u300d\u62c6\u6210\u4e24\u4e2a\u72ec\u7acb\u6a21\u5757<\/h3>\n

src\/
\n predictor.js \u95ed\u5f0f\u89e3\u6790\u89e3\u9884\u8a00\u5668（\u53ea\u7528\u516c\u5f0f，\u4e0d\u78b0\u79ef\u5206）
\n verifier.js \u6570\u503c\u79ef\u5206\u5b9e\u6d4b\u5668（\u7528 stepShell \u79ef\u5206\u8dd1\u8f68\u8ff9）
\n physics.js \u629b\u4f53 + \u7206\u70b8：launchShell \/ stepShell \/ burst \/ stepParticle（\u7eaf\u51fd\u6570）
\n rng.js \u53ef\u6ce8\u5165\u7684\u786e\u5b9a\u6027\u968f\u673a（mulberry32，seed \u4f5c\u53c2\u6570）
\n render.js \u591c\u7a7a \/ \u5f39\u9053 \/ \u70b8\u5f00\u7c92\u5b50 \/ \u89e3\u6790\u53e0\u52a0\u865a\u7ebf
\n app.js \u72b6\u6001\u673a + \u4e3b\u5faa\u73af + \u8bef\u5dee\u8868 + HUD
\ntest\/ 29 \u9879：\u89e3\u6790\u5bf9\u6807 \/ \u79ef\u5206\u6536\u655b \/ \u786e\u5b9a\u6027\u91cd\u653e \/ \u9010\u5e27\u54c8\u5e0c\u6f02\u79fb \/ \u5b89\u5168\u7ea2\u7ebf
\ntools\/ evidence.cjs（\u8054\u7f51\u53d6\u8bc1）\/ serve.cjs（\u96f6\u4f9d\u8d56\u9884\u89c8）<\/p>\n

\u4f9d\u8d56\u5355\u5411：app \u2192 {render, predictor, verifier, physics} \u2192 rng\u3002predictor \u548c verifier \u662f\u4e24\u6761\u72ec\u7acb\u7684\u8def\u901a\u5f80\u540c\u4e00\u4e2a\u7b54\u6848\u2014\u2014\u4e00\u4e2a\u8d70\u516c\u5f0f，\u4e00\u4e2a\u8d70\u79ef\u5206，\u5b83\u4fe9\u5bf9\u5f97\u4e0a，\u624d\u53eb\u771f\u9a8c\u8bc1\u3002<\/p>\n

\u4e94\u3001\u6838\u5fc3\u7b97\u6cd5：\u534a\u9690\u5f0f\u6b27\u62c9 + \u4e8c\u6b21\u963b\u529b<\/h3>\n

\u4e0a\u5347\u9636\u6bb5\u7528\u534a\u9690\u5f0f\u6b27\u62c9\u79ef\u5206，\u7a7a\u6c14\u963b\u529b\u53d6\u4e8c\u6b21\u6a21\u578b a = -k\u00b7v\u00b7|v|：<\/p>\n

export<\/span> function<\/span> stepShell<\/span>(<\/span>shell,<\/span> dt,<\/span> drag<\/span>)<\/span> {<\/span>
\n const<\/span> speed =<\/span> Math.<\/span>hypot<\/span>(<\/span>shell.<\/span>vx,<\/span> shell.<\/span>vy)<\/span>;<\/span>
\n const<\/span> ax =<\/span> –<\/span>drag *<\/span> shell.<\/span>vx *<\/span> speed;<\/span>
\n const<\/span> ay =<\/span> –<\/span>shell.<\/span>g –<\/span> drag *<\/span> shell.<\/span>vy *<\/span> speed;<\/span>
\n const<\/span> vx1 =<\/span> shell.<\/span>vx +<\/span> ax *<\/span> dt;<\/span>
\n const<\/span> vy1 =<\/span> shell.<\/span>vy +<\/span> ay *<\/span> dt;<\/span>
\n return<\/span> {<\/span> x<\/span>:<\/span> shell.<\/span>x +<\/span> vx1 *<\/span> dt,<\/span> y<\/span>:<\/span> shell.<\/span>y +<\/span> vy1 *<\/span> dt,<\/span>
\n vx<\/span>:<\/span> vx1,<\/span> vy<\/span>:<\/span> vy1,<\/span> g<\/span>:<\/span> shell.<\/span>g,<\/span> t<\/span>:<\/span> shell.<\/span>t +<\/span> dt,<\/span> alive<\/span>:<\/span> shell.<\/span>alive }<\/span>;<\/span>
\n}<\/span><\/p>\n

\u9884\u8a00\u5668\u5219\u5b8c\u5168\u4e0d\u8d70\u8fd9\u6761\u8def，\u76f4\u63a5\u5957\u95ed\u5f0f\u89e3：<\/p>\n

export<\/span> function<\/span> predict<\/span>(<\/span>v0,<\/span> angleDeg,<\/span> g =<\/span> 9.8<\/span><\/span>)<\/span> {<\/span>
\n const<\/span> s =<\/span> Math.<\/span>sin<\/span>(<\/span>angleDeg *<\/span> Math.<\/span>PI<\/span> \/<\/span> 180<\/span>)<\/span>;<\/span>
\n const<\/span> h =<\/span> (<\/span>v0 *<\/span> v0 *<\/span> s *<\/span> s)<\/span> \/<\/span> (<\/span>2<\/span> *<\/span> g)<\/span>;<\/span> \/\/ \u6700\u9ad8\u70b9<\/span>
\n const<\/span> T<\/span> =<\/span> (<\/span>2<\/span> *<\/span> v0 *<\/span> s)<\/span> \/<\/span> g;<\/span> \/\/ \u6ede\u7a7a<\/span>
\n const<\/span> R<\/span> =<\/span> (<\/span>v0 *<\/span> v0 *<\/span> Math.<\/span>sin<\/span>(<\/span>2<\/span> *<\/span> angleDeg *<\/span> Math.<\/span>PI<\/span> \/<\/span> 180<\/span>)<\/span>)<\/span> \/<\/span> g;<\/span> \/\/ \u5c04\u7a0b<\/span>
\n return<\/span> {<\/span> h,<\/span> T<\/span>,<\/span> R<\/span> }<\/span>;<\/span>
\n}<\/span><\/p>\n

\u4e24\u6761\u72ec\u7acb\u5b9e\u73b0，\u4e00\u4e2a dt=0.016 \u79ef\u5206\u3001\u4e00\u4e2a\u5957\u516c\u5f0f，v0=60\u3001\u03b8=75\u00b0 \u65f6\u6700\u9ad8\u70b9\u8bef\u5dee 0.27%，v0=50\u3001\u03b8=85\u00b0 \u65f6 0.079%\u3002\u963b\u529b\u7ec8\u7aef\u901f\u5ea6 v_term=\u221a(g\/k)\u224844m\/s，\u6570\u503c\u4e0a dt\u22640.05 \u65f6 k\u00b7v\u00b7dt\u226a1，\u7a33\u5b9a\u4e0d\u53d1\u6563\u3002<\/p>\n

\u516d\u3001\u62a4\u57ce\u6cb3：\u53ef\u91cd\u653e + \u7b2c\u4e09\u65b9\u771f\u503c\u5bf9\u62cd<\/h3>\n

\u6211\u7528 AI \u5199\u4ee3\u7801\u7684\u5fc3\u75c5\u662f\u300c\u5b83\u5f53\u573a\u8dd1\u5bf9，\u662f\u771f\u5bf9\u8fd8\u662f\u78b0\u5de7\u300d\u3002\u6240\u4ee5\u5b88\u4e86\u4e24\u6761：<\/p>\n

\u786e\u5b9a\u6027\u91cd\u653e：\u56fa\u5b9a\u6b65\u957f\u7d2f\u52a0\u5668 + \u6bcf\u53d1\u72ec\u7acb\u79cd\u5b50 mulberry32(seed ^ shellId)，replay \u53ea\u5b58 (seed, events, H) \u9760\u786e\u5b9a\u6027\u91cd\u5efa\u3002\u53d6\u8bc1\u811a\u672c\u91cc seed=12345 \u8dd1 300 \u5e27\u4e24\u6b21，\u9010\u5e27\u6700\u5927\u8bef\u5dee = 0\u3002<\/p>\n

\u7b2c\u4e09\u65b9\u771f\u503c\u5bf9\u62cd：\u8bef\u5dee\u8868\u91cc predictor \u7528\u95ed\u5f0f\u89e3\u3001verifier \u7528\u79ef\u5206，\u4e24\u4e2a\u72ec\u7acb\u5b9e\u73b0\u5bf9\u540c\u4e00\u53d1 (v0,\u03b8) \u7b97，\u8bef\u5dee\u5c31\u662f\u771f\u5b9e\u7684\u79ef\u5206\u8bef\u5dee\u3002\u53d6\u8bc1\u8f93\u51fa\u957f\u8fd9\u6837：<\/p>\n

== \u771f\u00b7\u7b2c\u4e09\u65b9\u5bf9\u62cd (predictor \u95ed\u5f0f vs verifier \u79ef\u5206) ==
\n v0=60 \u03b8=75\u00b0 dt=0.016 h\u8bef\u5dee=0.270% T\u8bef\u5dee=0.031%
\n v0=50 \u03b8=85\u00b0 dt=0.004 h\u8bef\u5dee=0.079% T\u8bef\u5dee=0.012%
\n== \u786e\u5b9a\u6027\u91cd\u653e ==
\n seed=12345 frames=300 \u9010\u5e27\u6700\u5927\u8bef\u5dee=0 \u91cd\u653e\u4e00\u81f4 \u2713
\n== SHA-256 \u6307\u7eb9 ==
\n d2fd218fd05b0fc54a47a4cfe139d893c3f594f6016298c658afd677ae498952<\/p>\n

\u6bcf\u6b21\u53d6\u8bc1\u90fd\u5e26\u4e00\u4e2a SHA-256 \u6307\u7eb9，\u53c2\u6570\u4e32\u4e00\u6539\u6307\u7eb9\u5c31\u53d8，\u6570\u636e\u53ef\u6eaf\u6e90\u3002<\/p>\n

\u4e03\u3001\u771f\u5b9e\u7684\u5751：\u4e09\u4e2a\u5dee\u70b9\u8ba9\u6211\u7ffb\u8f66\u7684\u77ac\u95f4<\/h3>\n

\u8fd9\u9879\u76ee\u4e0d\u662f\u4e00\u904d\u8fc7\u7684，\u5751\u90fd\u633a\u5b9e\u5728：<\/p>\n

\u5751\u4e00：\u7801\u9053\u628a\u4ed3\u5e93\u5efa\u6210\u4e86\u79c1\u6709\u3002 \u7b2c\u4e00\u8f6e\u5efa fireworks-physics \u65f6\u5b83\u9ed8\u8ba4\u8bbe\u6210\u4e86 private，\u6211\u533f\u540d clone \u76f4\u63a5 403\u3002\u6bd4\u8d5b\u786c\u6027\u8981\u6c42\u516c\u5f00\u4ed3，\u6211\u8ba9\u5b83\u6539\u56de public \u624d\u7ee7\u7eed\u3002\u8fd9\u4e2a\u5751\u4e0d\u67e5\u4f1a\u4e00\u76f4\u57cb\u5230\u6295\u7a3f\u3002<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u5751\u4e8c：\u8bef\u5dee\u8868\u7b2c\u4e00\u7248\u663e\u793a 54%\u3002 \u9996\u5c4f\u8bef\u5dee\u8868\u521a\u63a5\u4e0a\u65f6，\u6211\u622a\u56fe\u4e00\u770b\u2014\u2014\u9884\u6d4b 272m\u3001\u5b9e\u6d4b 124m\u3001\u8bef\u5dee 54%\u3002\u539f\u56e0\u662f predictor \u7528 drag=0 \u95ed\u5f0f\u89e3，\u73b0\u573a\u70df\u82b1\u5374\u5e26 drag=0.005 \u963b\u529b\u98de，\u4e24\u4e2a\u6a21\u578b\u4e0d\u4e00\u6837，\u6bd4\u51fa\u6765\u7684\u662f\u300c\u6a21\u578b\u5dee\u300d\u4e0d\u662f\u300c\u79ef\u5206\u8bef\u5dee\u300d\u3002\u8fd9\u76f4\u63a5\u628a\u300c\u8bef\u5dee<1%\u300d\u7684\u5356\u70b9\u6253\u8138\u4e86\u3002\u4fee\u6cd5：\u8bef\u5dee\u8868\u91cc predictor \u548c verifier \u90fd\u7528 drag=0 \u540c\u6a21\u578b\u5bf9\u62cd，\u8bef\u5dee\u7acb\u523b\u56de\u5230 0.2% \u91cf\u7ea7，HUD \u4e5f\u6807\u6e05\u300c\u5bf9\u62cd\u6a21\u578b drag=0 \/ \u73b0\u573a\u963b\u529b k=0.005\u300d\u3002<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u5751\u4e09：\u81ea\u8bc1\u5faa\u73af\u3002 \u4e09\u8f6e\u4e13\u5bb6\u8bc4\u5ba1\u91cc\u6280\u672f\u4e13\u5bb6\u70b9\u7834：\u5982\u679c predictor \u548c verifier \u5171\u7528\u540c\u4e00\u5957\u79ef\u5206\u5668，\u8bef\u5dee\u5c0f\u662f\u6570\u5b66\u5fc5\u7136，\u53ea\u8bc1\u660e\u6570\u503c\u7a33\u5b9a\u3001\u4e0d\u8bc1\u660e\u7269\u7406\u5bf9\u3002\u6211\u628a\u5b83\u62c6\u6210\u4e24\u6761\u72ec\u7acb\u5b9e\u73b0（\u516c\u5f0f vs \u79ef\u5206），\u518d\u52a0\u300cdt \u51cf\u534a\u3001\u8bef\u5dee\u7ea6\u51cf\u534a\u300d\u7684\u4e00\u9636\u6536\u655b\u65ad\u8a00，\u624d\u628a\u8fd9\u4e2a\u6d1e\u5835\u4e0a\u3002<\/p>\n

\u516b\u3001\u6d4b\u8bd5：29 \u9879\u5168\u7eff<\/h3>\n

\u89e3\u6790\u5bf9\u6807\u3001\u79ef\u5206\u6536\u655b\u3001\u786e\u5b9a\u6027\u91cd\u653e\u3001\u9010\u5e27\u54c8\u5e0c\u6f02\u79fb\u3001\u574f\u6570\u636e fuzz\u3001\u5b89\u5168\u7ea2\u7ebf，29 \u9879，\u6211\u6bcf\u4e00\u8f6e\u90fd clone \u5230\u672c\u5730\u72ec\u7acb node –test \u590d\u6838，\u4e0d\u662f\u7801\u9053\u8bf4\u7eff\u5c31\u7eff\u3002<\/p>\n

\u4e5d\u3001\u63d0\u6548\u6570\u636e<\/h3>\n\n\u73af\u8282\u7eaf\u624b\u5199\u4f30\u6478\u7801\u9053\u5b9e\u9645<\/tr>\n\n\n\n\n
\u7269\u7406\u5c42 + predictor\/verifier + 29 \u6d4b\u8bd5<\/td>\n\u4e24\u4e09\u5929<\/td>\n\u7ea6 2.5 \u5c0f\u65f6（\u516d\u8f6e）<\/td>\n<\/tr>\n
\u591c\u7a7a\u6e32\u67d3 + \u70b8\u5f00\u7c92\u5b50 + \u89e3\u6790\u53e0\u52a0<\/td>\n\u4e00\u5929<\/td>\n\u4e00\u8f6e<\/td>\n<\/tr>\n
\u72b6\u6001\u673a + \u9875\u9762 + \u53d6\u8bc1\u811a\u672c<\/td>\n\u4e00\u5929<\/td>\n\u4e24\u8f6e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u5168\u7a0b\u6211\u9010\u5b57\u6572\u7684\u4ee3\u7801\u4e0d\u5230\u4e00\u6210，\u5269\u4e0b\u90fd\u662f\u7801\u9053\u5199\u3001\u6211 clone \u590d\u6838\u3002\u7801\u9053\u6bcf\u8f6e\u5e95\u4e0b\u4f1a\u81ea\u5df1\u8d34\u8fd0\u884c\u6570\u636e（\u8017\u65f6\u3001\u8f93\u5165\/\u8f93\u51fa token\u3001\u5b50\u4efb\u52a1\u6570），\u62a5\u8d26\u633a\u6e05\u695a\u3002<\/p>\n

\u5206\u8f6e\u4ea7\u51fa\u5927\u81f4\u662f\u8fd9\u6837，\u4e00\u8f6e\u4e00\u6b65\u3001\u4e00\u6b65\u80fd\u8dd1：<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u5341\u3001\u4e94\u7ef4\u81ea\u68c0<\/h3>\n
    \n
  • \n

    \u67b6\u6784：predictor\/verifier\/physics\/render\/app \u5206\u5c42，\u4e24\u6761\u72ec\u7acb\u8def\u5f84\u5bf9\u62cd\u3002<\/p>\n<\/li>\n

  • \n

    \u4ee3\u7801：29 \u9879\u6d4b\u8bd5\u5168\u7eff + \u9010\u5e27\u91cd\u653e\u8bef\u5dee 0 + SHA-256 \u6307\u7eb9\u53ef\u6eaf\u6e90\u3002<\/p>\n<\/li>\n

  • \n

    \u5b89\u5168：fuzz dt\/energy\u3001NaN \u62d2\u7edd\u3001clamp\u3001v_term \u5408\u7406\u3001\u4e0d\u8054\u7f51\u4e0d\u91c7\u96c6\u3002<\/p>\n<\/li>\n

  • \n

    UI：\u7b2c\u4e00\u5c4f\u8bef\u5dee\u8868 + \u591c\u7a7a + \u53e0\u52a0\u89e3\u6790\u865a\u7ebf，\u6df1\u8272\u514b\u5236\u3001\u56fd\u5e86\u7ea2\u91d1\u70b9\u7f00\u3002<\/p>\n<\/li>\n

  • \n

    \u5185\u5bb9：\u771f\u5b9e\u622a\u56fe + \u771f\u5b9e\u4ee3\u7801 + \u771f\u8dd1\u51fa\u6765\u7684\u8bef\u5dee\u6570\u5b57 + \u8bda\u5b9e\u5199\u4e09\u4e2a\u5751\u3002<\/p>\n<\/li>\n<\/ul>\n

    \u5341\u4e00\u3001\u672c\u5730\u600e\u4e48\u8dd1<\/h3>\n

    git clone https:\/\/atomgit.com\/azhiqiu\/fireworks-physics.git
    \ncd fireworks-physics
    \nnode –test # 29 \u9879\u5168\u7eff
    \nnode tools\/evidence.cjs # \u7b2c\u4e09\u65b9\u5bf9\u62cd + \u91cd\u653e + \u6307\u7eb9
    \nnpm run serve # \u6253\u5f00 http:\/\/localhost:8081<\/p>\n

    \u6253\u5f00\u540e\u5efa\u8bae\u4eb2\u624b\u8bd5\u4e09\u4e0b：\u70b9\u753b\u5e03\u653e\u4e00\u53d1\u770b\u8bef\u5dee\u8868\u5b9e\u65f6\u586b\u4e00\u884c；\u5f00\u300c\u5bf9\u6bd4\u89e3\u6790\u89e3\u300d\u770b\u4eff\u771f\u8f68\u8ff9\u548c\u7406\u8bba\u629b\u7269\u7ebf\u53e0\u5728\u4e00\u8d77；\u628a seed \u5199\u8fdb URL \u5237\u65b0，\u770b\u540c\u4e00\u53d1\u70df\u82b1\u9010\u5e27\u4e00\u6a21\u4e00\u6837\u91cd\u653e\u3002<\/p>\n

    \u5341\u4e8c\u3001\u5199\u5728\u6700\u540e<\/h3>\n

    \u8fd9\u4e2a\u9879\u76ee\u6700\u5927\u7684\u6536\u83b7\u4e0d\u662f\u70df\u82b1，\u662f\u88ab\u81ea\u5df1\u7684\u8bef\u5dee\u8868\u6559\u80b2\u4e86\u4e24\u6b21：\u4e00\u6b21\u662f 54% \u7684\u6a21\u578b\u53e3\u5f84 bug，\u4e00\u6b21\u662f\u5dee\u70b9\u5199\u51fa\u81ea\u8bc1\u5faa\u73af\u3002AI \u628a\u4ee3\u7801\u5199\u5f97\u53c8\u5feb\u53c8\u50cf\u6a21\u50cf\u6837，\u4f46\u300c\u8fd9\u4e2a\u8bef\u5dee\u5230\u5e95\u662f\u4e0d\u662f\u771f\u7684\u300d\u8fd9\u79cd\u95ee\u9898，\u5b83\u4e0d\u4f1a\u4e3b\u52a8\u66ff\u4f60\u60f3\u5230\u2014\u2014\u4f60\u5f97\u76ef\u7740\u3002\u5b83\u8d1f\u8d23\u5feb，\u6211\u8d1f\u8d23\u5bf9\u3002<\/p>\n

    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

    \u6570\u636e\u4e0e\u81f4\u8c22：\u91cd\u529b\u6a21\u578b\u53d6\u6807\u51c6 g=9.8\u3001\u65e0\u98ce\u8d28\u70b9\u5047\u8bbe；\u5f00\u53d1\u5de5\u5177 \u534e\u4e3a\u4e91\u7801\u9053 CodeArts \u4ee3\u7801\u667a\u80fd\u4f53（AtomGit）\u3002\u4ed3\u5e93 MIT \u5f00\u6e90，\u5730\u5740\u5c31\u662f\u4e0a\u9762 clone \u547d\u4ee4\u91cc\u90a3\u4e2a\u3002<\/p>\n

    \u4f60\u505a\u8fc7\u8fd9\u79cd\u300c\u8ba9\u7a0b\u5e8f\u81ea\u5df1\u7b97\u7b54\u6848\u3001\u518d\u81ea\u5df1\u9a8c\u7b54\u6848\u300d\u7684\u4e1c\u897f\u5417？\u8bc4\u8bba\u533a\u804a\u804a\u2014\u2014\u4f60\u662f\u66f4\u5728\u610f\u5b83\u597d\u770b，\u8fd8\u662f\u66f4\u5728\u610f\u5b83\u300c\u6562\u628a\u8bef\u5dee\u644a\u5728\u684c\u9762\u4e0a\u300d？<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u4f1a\u7b97\u9898\u7684\u70df\u82b1：\u70b9\u706b\u524d\u6211\u7b97\u51fa\u6700\u9ad8\u70b9 214.3m\u3001\u6ede\u7a7a 12.0s，\u79ef\u5206\u5b9e\u6d4b\u8bef\u5dee 0.24%
    \n**\u4e00\u952e\u5f00\u901a\u534e\u4e3a\u4e91\u7801\u9053 CodeArts \u4ee3\u7801\u667a\u80fd\u4f53： **https:\/\/developer.huaweicloud.com\/codeartsco.html?sourcedmzntgwatomgit1&sourceaddmzntgwatomgithd
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