diff --git a/docs/compiled/artplayer-plugin-ads.js b/docs/compiled/artplayer-plugin-ads.js index 1f21162c9..ea40bc7c0 100644 --- a/docs/compiled/artplayer-plugin-ads.js +++ b/docs/compiled/artplayer-plugin-ads.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(e,l){"object"===typeof exports&&"undefined"!==typeof module?module.exports=l():"function"==typeof define&&define.amd?(t.ArtplayerPluginAds=l(),define(function(){return t.ArtplayerPluginAds})):(e="undefined"!==typeof globalThis?globalThis:e||self).ArtplayerPluginAds=l()}(this,function(){"use strict";function e(l){return n=>{!function(l){const{version:n,utils:{errorHandle:i}}=l.constructor,a=n.split(".").map(Number);i(a[0]+a[1]/100>=5,`Artplayer.js@${n} is not compatible the artplayerPluginAds@${e.version}. Please update it to version Artplayer.js@5.x.x`)}(n);const{template:{$player:i},icons:{volume:a,volumeClose:t,fullscreenOn:r,fullscreenOff:o,loading:d},constructor:{validator:s,utils:{query:p,append:u,setStyle:c}}}=n;l=s({html:"",video:"",url:"",playDuration:5,totalDuration:10,muted:!1,i18n:{close:"\u5173\u95ed\u5e7f\u544a",countdown:"%s\u79d2",detail:"\u67e5\u770b\u8be6\u60c5",canBeClosed:"%s\u79d2\u540e\u53ef\u5173\u95ed\u5e7f\u544a"},...l},{html:"?string",video:"?string",url:"?string",playDuration:"number",totalDuration:"number",muted:"?boolean",i18n:{close:"string",countdown:"string",detail:"string",canBeClosed:"string"}});let y=null,g=null,f=null,m=null,v=null,x=null,h=0,b=null,w=!1,$=!1,k=!1;function D(e,l){return l.replace("%s",e)}function A(){w=!0,n.play(),l.video&&y.pause(),c(n.template.$ads,"display","none"),n.emit("artplayerPluginAds:skip",l)}function C(){w||(b=setTimeout(()=>{h+=1;const e=l.playDuration-h;e>=1?f.innerHTML=D(e,l.i18n.canBeClosed):(f.innerHTML=l.i18n.close,k||(k=!0)),m.innerHTML=D(l.totalDuration-h,l.i18n.countdown),h>=l.totalDuration?A():C()},1e3))}function P(){w||clearTimeout(b)}function T(){$||($=!0,function(){n.template.$ads=u(i,'
'),y=u(n.template.$ads,l.video?``:`
${l.html}
`),x=u(n.template.$ads,'
'),u(x,d),g=u(n.template.$ads,`
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${l.playDuration<=0?l.i18n.close:D(l.playDuration,l.i18n.canBeClosed)}
\n
${D(l.totalDuration,l.i18n.countdown)}
\n
`),f=p(".artplayer-plugin-ads-close",g),m=p(".artplayer-plugin-ads-countdown",g),l.playDuration>=l.totalDuration&&c(f,"display","none"),n.proxy(f,"click",()=>{k&&A()}),v=u(n.template.$ads,`
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${l.i18n.detail}
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\n
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`);const e=p(".artplayer-plugin-ads-detail",v),s=p(".artplayer-plugin-ads-muted",v),h=p(".artplayer-plugin-ads-fullscreen",v);if(l.url?n.proxy(e,"click",()=>{window.open(l.url),n.emit("artplayerPluginAds:click",l)}):c(e,"display","none"),l.video){const e=u(s,a),i=u(s,t);c(i,"display","none"),l.muted&&(y.muted=!0,c(e,"display","none"),c(i,"display","inline-flex")),n.proxy(s,"click",()=>{y.muted=!y.muted,y.muted?(c(e,"display","none"),c(i,"display","inline-flex")):(c(e,"display","inline-flex"),c(i,"display","none"))})}else c(s,"display","none");const b=u(h,r),w=u(h,o);c(w,"display","none"),n.proxy(h,"click",()=>{n.fullscreen=!n.fullscreen,n.fullscreen?(c(b,"display","inline-flex"),c(w,"display","none")):(c(b,"display","none"),c(w,"display","inline-flex"))}),n.proxy(y,"click",()=>{l.url&&window.open(l.url),n.emit("artplayerPluginAds:click",l)})}(),n.pause(),l.video?(n.proxy(y,"error",A),n.proxy(y,"loadedmetadata",()=>{C(),y.play(),c(g,"display","flex"),c(v,"display","flex"),c(x,"display","none")})):(C(),c(g,"display","flex"),c(v,"display","flex"),c(x,"display","none")),n.on("document:visibilitychange",()=>{document.hidden?P():C()}))}return n.on("ready",()=>{n.once("play",T),n.once("video:playing",T)}),{name:"artplayerPluginAds",skip:A,pause:P,play:C}}}if("undefined"!==typeof document&&!document.getElementById("artplayer-plugin-ads")){const e=document.createElement("style");e.id="artplayer-plugin-ads",e.textContent=".artplayer-plugin-ads{position:absolute;z-index:150;inset:0;width:100%;height:100%;overflow:hidden;font-size:13px;line-height:1;color:#fff;background-color:#000}.artplayer-plugin-ads .artplayer-plugin-ads-html{display:flex;align-items:center;justify-content:center;width:100%;height:100%}.artplayer-plugin-ads .artplayer-plugin-ads-video{width:100%;height:100%}.artplayer-plugin-ads .artplayer-plugin-ads-timer{display:none;position:absolute;top:10px;right:10px}.artplayer-plugin-ads .artplayer-plugin-ads-timer>div{display:flex;align-items:center;background-color:#00000080;border-radius:15px;margin-left:5px;padding:5px 10px;cursor:pointer}.artplayer-plugin-ads .artplayer-plugin-ads-control{display:none;position:absolute;bottom:10px;right:10px}.artplayer-plugin-ads .artplayer-plugin-ads-control>div{display:flex;align-items:center;background-color:#00000080;border-radius:15px;margin-left:5px;padding:5px 10px;cursor:pointer}.artplayer-plugin-ads .artplayer-plugin-ads-control .art-icon svg{width:20px;height:20px}.artplayer-plugin-ads .artplayer-plugin-ads-loading{display:flex;align-items:center;justify-content:center;position:absolute;inset:0;width:100%;height:100%}",document.head.appendChild(e)}return e}); +!function(e,l){"object"===typeof exports&&"undefined"!==typeof module?module.exports=l():"function"==typeof define&&define.amd?(t.artplayerPluginAds=l(),define(function(){return t.artplayerPluginAds})):(e="undefined"!==typeof globalThis?globalThis:e||self).artplayerPluginAds=l()}(this,function(){"use strict";function e(l){return n=>{!function(l){const{version:n,utils:{errorHandle:i}}=l.constructor,a=n.split(".").map(Number);i(a[0]+a[1]/100>=5,`Artplayer.js@${n} is not compatible the artplayerPluginAds@${e.version}. Please update it to version Artplayer.js@5.x.x`)}(n);const{template:{$player:i},icons:{volume:a,volumeClose:t,fullscreenOn:r,fullscreenOff:o,loading:d},constructor:{validator:s,utils:{query:p,append:u,setStyle:c}}}=n;l=s({html:"",video:"",url:"",playDuration:5,totalDuration:10,muted:!1,i18n:{close:"\u5173\u95ed\u5e7f\u544a",countdown:"%s\u79d2",detail:"\u67e5\u770b\u8be6\u60c5",canBeClosed:"%s\u79d2\u540e\u53ef\u5173\u95ed\u5e7f\u544a"},...l},{html:"?string",video:"?string",url:"?string",playDuration:"number",totalDuration:"number",muted:"?boolean",i18n:{close:"string",countdown:"string",detail:"string",canBeClosed:"string"}});let y=null,g=null,f=null,m=null,v=null,x=null,h=0,b=null,w=!1,$=!1,k=!1;function D(e,l){return l.replace("%s",e)}function A(){w=!0,n.play(),l.video&&y.pause(),c(n.template.$ads,"display","none"),n.emit("artplayerPluginAds:skip",l)}function C(){w||(b=setTimeout(()=>{h+=1;const e=l.playDuration-h;e>=1?f.innerHTML=D(e,l.i18n.canBeClosed):(f.innerHTML=l.i18n.close,k||(k=!0)),m.innerHTML=D(l.totalDuration-h,l.i18n.countdown),h>=l.totalDuration?A():C()},1e3))}function P(){w||clearTimeout(b)}function T(){$||($=!0,function(){n.template.$ads=u(i,'
'),y=u(n.template.$ads,l.video?``:`
${l.html}
`),x=u(n.template.$ads,'
'),u(x,d),g=u(n.template.$ads,`
\n
${l.playDuration<=0?l.i18n.close:D(l.playDuration,l.i18n.canBeClosed)}
\n
${D(l.totalDuration,l.i18n.countdown)}
\n
`),f=p(".artplayer-plugin-ads-close",g),m=p(".artplayer-plugin-ads-countdown",g),l.playDuration>=l.totalDuration&&c(f,"display","none"),n.proxy(f,"click",()=>{k&&A()}),v=u(n.template.$ads,`
\n
${l.i18n.detail}
\n
\n
\n
`);const e=p(".artplayer-plugin-ads-detail",v),s=p(".artplayer-plugin-ads-muted",v),h=p(".artplayer-plugin-ads-fullscreen",v);if(l.url?n.proxy(e,"click",()=>{window.open(l.url),n.emit("artplayerPluginAds:click",l)}):c(e,"display","none"),l.video){const e=u(s,a),i=u(s,t);c(i,"display","none"),l.muted&&(y.muted=!0,c(e,"display","none"),c(i,"display","inline-flex")),n.proxy(s,"click",()=>{y.muted=!y.muted,y.muted?(c(e,"display","none"),c(i,"display","inline-flex")):(c(e,"display","inline-flex"),c(i,"display","none"))})}else c(s,"display","none");const b=u(h,r),w=u(h,o);c(w,"display","none"),n.proxy(h,"click",()=>{n.fullscreen=!n.fullscreen,n.fullscreen?(c(b,"display","inline-flex"),c(w,"display","none")):(c(b,"display","none"),c(w,"display","inline-flex"))}),n.proxy(y,"click",()=>{l.url&&window.open(l.url),n.emit("artplayerPluginAds:click",l)})}(),n.pause(),l.video?(n.proxy(y,"error",A),n.proxy(y,"loadedmetadata",()=>{C(),y.play(),c(g,"display","flex"),c(v,"display","flex"),c(x,"display","none")})):(C(),c(g,"display","flex"),c(v,"display","flex"),c(x,"display","none")),n.on("document:visibilitychange",()=>{document.hidden?P():C()}))}return n.on("ready",()=>{n.once("play",T),n.once("video:playing",T)}),{name:"artplayerPluginAds",skip:A,pause:P,play:C}}}if("undefined"!==typeof document&&!document.getElementById("artplayer-plugin-ads")){const e=document.createElement("style");e.id="artplayer-plugin-ads",e.textContent=".artplayer-plugin-ads{position:absolute;z-index:150;inset:0;width:100%;height:100%;overflow:hidden;font-size:13px;line-height:1;color:#fff;background-color:#000}.artplayer-plugin-ads .artplayer-plugin-ads-html{display:flex;align-items:center;justify-content:center;width:100%;height:100%}.artplayer-plugin-ads .artplayer-plugin-ads-video{width:100%;height:100%}.artplayer-plugin-ads .artplayer-plugin-ads-timer{display:none;position:absolute;top:10px;right:10px}.artplayer-plugin-ads .artplayer-plugin-ads-timer>div{display:flex;align-items:center;background-color:#00000080;border-radius:15px;margin-left:5px;padding:5px 10px;cursor:pointer}.artplayer-plugin-ads .artplayer-plugin-ads-control{display:none;position:absolute;bottom:10px;right:10px}.artplayer-plugin-ads .artplayer-plugin-ads-control>div{display:flex;align-items:center;background-color:#00000080;border-radius:15px;margin-left:5px;padding:5px 10px;cursor:pointer}.artplayer-plugin-ads .artplayer-plugin-ads-control .art-icon svg{width:20px;height:20px}.artplayer-plugin-ads .artplayer-plugin-ads-loading{display:flex;align-items:center;justify-content:center;position:absolute;inset:0;width:100%;height:100%}",document.head.appendChild(e)}return e}); diff --git a/docs/compiled/artplayer-plugin-ads.legacy.js b/docs/compiled/artplayer-plugin-ads.legacy.js index 58621acae..fb83bf891 100644 --- a/docs/compiled/artplayer-plugin-ads.legacy.js +++ b/docs/compiled/artplayer-plugin-ads.legacy.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(e,l){"object"===typeof exports&&"undefined"!==typeof module?module.exports=l():"function"==typeof define&&define.amd?(t.ArtplayerPluginAds=l(),define(function(){return t.ArtplayerPluginAds})):(e="undefined"!==typeof globalThis?globalThis:e||self).ArtplayerPluginAds=l()}(this,function(){"use strict";var e=Object.defineProperty,l=Object.getOwnPropertySymbols,n=Object.prototype.hasOwnProperty,a=Object.prototype.propertyIsEnumerable,i=(l,n,a)=>n in l?e(l,n,{enumerable:!0,configurable:!0,writable:!0,value:a}):l[n]=a;function t(e){return r=>{!function(e){const{version:l,utils:{errorHandle:n}}=e.constructor,a=l.split(".").map(Number);n(a[0]+a[1]/100>=5,`Artplayer.js@${l} is not compatible the artplayerPluginAds@${t.version}. 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'),v=f(r.template.$ads,e.video?``:`
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'),f($,c),x=f(r.template.$ads,`
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${e.i18n.detail}
\n
\n
\n
`);const l=g(".artplayer-plugin-ads-detail",w),n=g(".artplayer-plugin-ads-muted",w),a=g(".artplayer-plugin-ads-fullscreen",w);if(e.url?r.proxy(l,"click",()=>{window.open(e.url),r.emit("artplayerPluginAds:click",e)}):m(l,"display","none"),e.video){const l=f(n,d),a=f(n,p);m(a,"display","none"),e.muted&&(v.muted=!0,m(l,"display","none"),m(a,"display","inline-flex")),r.proxy(n,"click",()=>{v.muted=!v.muted,v.muted?(m(l,"display","none"),m(a,"display","inline-flex")):(m(l,"display","inline-flex"),m(a,"display","none"))})}else m(n,"display","none");const i=f(a,s),t=f(a,u);m(t,"display","none"),r.proxy(a,"click",()=>{r.fullscreen=!r.fullscreen,r.fullscreen?(m(i,"display","inline-flex"),m(t,"display","none")):(m(i,"display","none"),m(t,"display","inline-flex"))}),r.proxy(v,"click",()=>{e.url&&window.open(e.url),r.emit("artplayerPluginAds:click",e)})}(),r.pause(),e.video?(r.proxy(v,"error",C),r.proxy(v,"loadedmetadata",()=>{T(),v.play(),m(x,"display","flex"),m(w,"display","flex"),m($,"display","none")})):(T(),m(x,"display","flex"),m(w,"display","flex"),m($,"display","none")),r.on("document:visibilitychange",()=>{document.hidden?B():T()}))}return r.on("ready",()=>{r.once("play",H),r.once("video:playing",H)}),{name:"artplayerPluginAds",skip:C,pause:B,play:T}}}if("undefined"!==typeof document&&!document.getElementById("artplayer-plugin-ads")){const e=document.createElement("style");e.id="artplayer-plugin-ads",e.textContent=".artplayer-plugin-ads{position:absolute;z-index:150;inset:0;width:100%;height:100%;overflow:hidden;font-size:13px;line-height:1;color:#fff;background-color:#000}.artplayer-plugin-ads .artplayer-plugin-ads-html{display:flex;align-items:center;justify-content:center;width:100%;height:100%}.artplayer-plugin-ads .artplayer-plugin-ads-video{width:100%;height:100%}.artplayer-plugin-ads .artplayer-plugin-ads-timer{display:none;position:absolute;top:10px;right:10px}.artplayer-plugin-ads .artplayer-plugin-ads-timer>div{display:flex;align-items:center;background-color:#00000080;border-radius:15px;margin-left:5px;padding:5px 10px;cursor:pointer}.artplayer-plugin-ads .artplayer-plugin-ads-control{display:none;position:absolute;bottom:10px;right:10px}.artplayer-plugin-ads .artplayer-plugin-ads-control>div{display:flex;align-items:center;background-color:#00000080;border-radius:15px;margin-left:5px;padding:5px 10px;cursor:pointer}.artplayer-plugin-ads .artplayer-plugin-ads-control .art-icon svg{width:20px;height:20px}.artplayer-plugin-ads .artplayer-plugin-ads-loading{display:flex;align-items:center;justify-content:center;position:absolute;inset:0;width:100%;height:100%}",document.head.appendChild(e)}return t}); +!function(e,l){"object"===typeof exports&&"undefined"!==typeof module?module.exports=l():"function"==typeof define&&define.amd?(t.artplayerPluginAds=l(),define(function(){return t.artplayerPluginAds})):(e="undefined"!==typeof globalThis?globalThis:e||self).artplayerPluginAds=l()}(this,function(){"use strict";var e=Object.defineProperty,l=Object.getOwnPropertySymbols,n=Object.prototype.hasOwnProperty,a=Object.prototype.propertyIsEnumerable,i=(l,n,a)=>n in l?e(l,n,{enumerable:!0,configurable:!0,writable:!0,value:a}):l[n]=a;function t(e){return r=>{!function(e){const{version:l,utils:{errorHandle:n}}=e.constructor,a=l.split(".").map(Number);n(a[0]+a[1]/100>=5,`Artplayer.js@${l} is not compatible the artplayerPluginAds@${t.version}. Please update it to version Artplayer.js@5.x.x`)}(r);const{template:{$player:o},icons:{volume:d,volumeClose:p,fullscreenOn:s,fullscreenOff:u,loading:c},constructor:{validator:y,utils:{query:g,append:f,setStyle:m}}}=r;e=y(((e,t)=>{for(var r in t||(t={}))n.call(t,r)&&i(e,r,t[r]);if(l)for(var r of l(t))a.call(t,r)&&i(e,r,t[r]);return e})({html:"",video:"",url:"",playDuration:5,totalDuration:10,muted:!1,i18n:{close:"\u5173\u95ed\u5e7f\u544a",countdown:"%s\u79d2",detail:"\u67e5\u770b\u8be6\u60c5",canBeClosed:"%s\u79d2\u540e\u53ef\u5173\u95ed\u5e7f\u544a"}},e),{html:"?string",video:"?string",url:"?string",playDuration:"number",totalDuration:"number",muted:"?boolean",i18n:{close:"string",countdown:"string",detail:"string",canBeClosed:"string"}});let v=null,x=null,h=null,b=null,w=null,$=null,k=0,D=null,P=!1,j=!1,A=!1;function O(e,l){return l.replace("%s",e)}function C(){P=!0,r.play(),e.video&&v.pause(),m(r.template.$ads,"display","none"),r.emit("artplayerPluginAds:skip",e)}function T(){P||(D=setTimeout(()=>{k+=1;const l=e.playDuration-k;l>=1?h.innerHTML=O(l,e.i18n.canBeClosed):(h.innerHTML=e.i18n.close,A||(A=!0)),b.innerHTML=O(e.totalDuration-k,e.i18n.countdown),k>=e.totalDuration?C():T()},1e3))}function B(){P||clearTimeout(D)}function H(){j||(j=!0,function(){r.template.$ads=f(o,'
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\n
`),h=g(".artplayer-plugin-ads-close",x),b=g(".artplayer-plugin-ads-countdown",x),e.playDuration>=e.totalDuration&&m(h,"display","none"),r.proxy(h,"click",()=>{A&&C()}),w=f(r.template.$ads,`
\n
${e.i18n.detail}
\n
\n
\n
`);const l=g(".artplayer-plugin-ads-detail",w),n=g(".artplayer-plugin-ads-muted",w),a=g(".artplayer-plugin-ads-fullscreen",w);if(e.url?r.proxy(l,"click",()=>{window.open(e.url),r.emit("artplayerPluginAds:click",e)}):m(l,"display","none"),e.video){const l=f(n,d),a=f(n,p);m(a,"display","none"),e.muted&&(v.muted=!0,m(l,"display","none"),m(a,"display","inline-flex")),r.proxy(n,"click",()=>{v.muted=!v.muted,v.muted?(m(l,"display","none"),m(a,"display","inline-flex")):(m(l,"display","inline-flex"),m(a,"display","none"))})}else m(n,"display","none");const i=f(a,s),t=f(a,u);m(t,"display","none"),r.proxy(a,"click",()=>{r.fullscreen=!r.fullscreen,r.fullscreen?(m(i,"display","inline-flex"),m(t,"display","none")):(m(i,"display","none"),m(t,"display","inline-flex"))}),r.proxy(v,"click",()=>{e.url&&window.open(e.url),r.emit("artplayerPluginAds:click",e)})}(),r.pause(),e.video?(r.proxy(v,"error",C),r.proxy(v,"loadedmetadata",()=>{T(),v.play(),m(x,"display","flex"),m(w,"display","flex"),m($,"display","none")})):(T(),m(x,"display","flex"),m(w,"display","flex"),m($,"display","none")),r.on("document:visibilitychange",()=>{document.hidden?B():T()}))}return r.on("ready",()=>{r.once("play",H),r.once("video:playing",H)}),{name:"artplayerPluginAds",skip:C,pause:B,play:T}}}if("undefined"!==typeof document&&!document.getElementById("artplayer-plugin-ads")){const e=document.createElement("style");e.id="artplayer-plugin-ads",e.textContent=".artplayer-plugin-ads{position:absolute;z-index:150;inset:0;width:100%;height:100%;overflow:hidden;font-size:13px;line-height:1;color:#fff;background-color:#000}.artplayer-plugin-ads .artplayer-plugin-ads-html{display:flex;align-items:center;justify-content:center;width:100%;height:100%}.artplayer-plugin-ads .artplayer-plugin-ads-video{width:100%;height:100%}.artplayer-plugin-ads .artplayer-plugin-ads-timer{display:none;position:absolute;top:10px;right:10px}.artplayer-plugin-ads .artplayer-plugin-ads-timer>div{display:flex;align-items:center;background-color:#00000080;border-radius:15px;margin-left:5px;padding:5px 10px;cursor:pointer}.artplayer-plugin-ads .artplayer-plugin-ads-control{display:none;position:absolute;bottom:10px;right:10px}.artplayer-plugin-ads .artplayer-plugin-ads-control>div{display:flex;align-items:center;background-color:#00000080;border-radius:15px;margin-left:5px;padding:5px 10px;cursor:pointer}.artplayer-plugin-ads .artplayer-plugin-ads-control .art-icon svg{width:20px;height:20px}.artplayer-plugin-ads .artplayer-plugin-ads-loading{display:flex;align-items:center;justify-content:center;position:absolute;inset:0;width:100%;height:100%}",document.head.appendChild(e)}return t}); diff --git a/docs/compiled/artplayer-plugin-ambilight.js b/docs/compiled/artplayer-plugin-ambilight.js index 5effa701d..9d2c0789a 100644 --- a/docs/compiled/artplayer-plugin-ambilight.js +++ b/docs/compiled/artplayer-plugin-ambilight.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.ArtplayerPluginAmbilight=t(),define(function(){return t.ArtplayerPluginAmbilight})):(e="undefined"!==typeof globalThis?globalThis:e||self).ArtplayerPluginAmbilight=t()}(this,function(){"use strict";return function(e={}){return t=>{const{$video:n}=t.template,{createElement:r,addClass:i,setStyles:o}=t.constructor.utils,{blur:a="50px",opacity:l=.5,frequency:u=10,duration:f=.3}=e,s=r("div"),d=((c=s).innerHTML=Array.from({length:9}).fill("
").join(""),Array.from(c.children));var c,m,p,g;!function(e,t){i(e,"artplayer-plugin-ambilight"),t.parentNode.insertBefore(e,t),o(e,{position:"absolute",top:0,left:0,zIndex:9,inset:0,display:"grid",gridTemplateColumns:"1fr 1fr 1fr",gridTemplateRows:"1fr 1fr 1fr"})}(s,n),m=a,p=l,g=f,d.forEach(e=>{o(e,{opacity:p,filter:`blur(${m})`,transition:`background-color ${g}s ease`})});const y=function(e,n,i){const o=r("canvas"),a=o.getContext("2d");o.width=3,o.height=3;let l=0;return function r(){const o=performance.now();if(o-l<1e3/i||!t.playing)return void(h=requestAnimationFrame(r));l=o;const u=e.videoWidth/3,f=e.videoHeight/3,s=[[0,0],[u,0],[2*u,0],[0,f],[u,f],[2*u,f],[0,2*f],[u,2*f],[2*u,2*f]].map(([t,n])=>function(t,n,r,i){a.drawImage(e,t,n,r,i,0,0,1,1);const[o,l,u]=a.getImageData(0,0,1,1).data;return`rgb(${o}, ${l}, ${u})`}(t,n,u,f));n.forEach((e,t)=>{e.style.backgroundColor=s[t]}),h=requestAnimationFrame(r)}}(n,d,u);let h=null;function b(){h||y()}function v(){h&&(cancelAnimationFrame(h),h=null)}return t.on("ready",b),t.on("destroy",v),{name:"artplayerPluginAmbilight",start:b,stop:v}}}}); +!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.artplayerPluginAmbilight=t(),define(function(){return t.artplayerPluginAmbilight})):(e="undefined"!==typeof globalThis?globalThis:e||self).artplayerPluginAmbilight=t()}(this,function(){"use strict";return function(e={}){return t=>{const{$video:n}=t.template,{createElement:r,addClass:i,setStyles:o}=t.constructor.utils,{blur:a="50px",opacity:l=.5,frequency:u=10,duration:f=.3}=e,s=r("div"),d=((c=s).innerHTML=Array.from({length:9}).fill("
").join(""),Array.from(c.children));var c,m,p,g;!function(e,t){i(e,"artplayer-plugin-ambilight"),t.parentNode.insertBefore(e,t),o(e,{position:"absolute",top:0,left:0,zIndex:9,inset:0,display:"grid",gridTemplateColumns:"1fr 1fr 1fr",gridTemplateRows:"1fr 1fr 1fr"})}(s,n),m=a,p=l,g=f,d.forEach(e=>{o(e,{opacity:p,filter:`blur(${m})`,transition:`background-color ${g}s ease`})});const y=function(e,n,i){const o=r("canvas"),a=o.getContext("2d");o.width=3,o.height=3;let l=0;return function r(){const o=performance.now();if(o-l<1e3/i||!t.playing)return void(h=requestAnimationFrame(r));l=o;const u=e.videoWidth/3,f=e.videoHeight/3,s=[[0,0],[u,0],[2*u,0],[0,f],[u,f],[2*u,f],[0,2*f],[u,2*f],[2*u,2*f]].map(([t,n])=>function(t,n,r,i){a.drawImage(e,t,n,r,i,0,0,1,1);const[o,l,u]=a.getImageData(0,0,1,1).data;return`rgb(${o}, ${l}, ${u})`}(t,n,u,f));n.forEach((e,t)=>{e.style.backgroundColor=s[t]}),h=requestAnimationFrame(r)}}(n,d,u);let h=null;function b(){h||y()}function v(){h&&(cancelAnimationFrame(h),h=null)}return t.on("ready",b),t.on("destroy",v),{name:"artplayerPluginAmbilight",start:b,stop:v}}}}); diff --git a/docs/compiled/artplayer-plugin-ambilight.legacy.js b/docs/compiled/artplayer-plugin-ambilight.legacy.js index 5effa701d..9d2c0789a 100644 --- a/docs/compiled/artplayer-plugin-ambilight.legacy.js +++ b/docs/compiled/artplayer-plugin-ambilight.legacy.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.ArtplayerPluginAmbilight=t(),define(function(){return t.ArtplayerPluginAmbilight})):(e="undefined"!==typeof globalThis?globalThis:e||self).ArtplayerPluginAmbilight=t()}(this,function(){"use strict";return function(e={}){return t=>{const{$video:n}=t.template,{createElement:r,addClass:i,setStyles:o}=t.constructor.utils,{blur:a="50px",opacity:l=.5,frequency:u=10,duration:f=.3}=e,s=r("div"),d=((c=s).innerHTML=Array.from({length:9}).fill("
").join(""),Array.from(c.children));var c,m,p,g;!function(e,t){i(e,"artplayer-plugin-ambilight"),t.parentNode.insertBefore(e,t),o(e,{position:"absolute",top:0,left:0,zIndex:9,inset:0,display:"grid",gridTemplateColumns:"1fr 1fr 1fr",gridTemplateRows:"1fr 1fr 1fr"})}(s,n),m=a,p=l,g=f,d.forEach(e=>{o(e,{opacity:p,filter:`blur(${m})`,transition:`background-color ${g}s ease`})});const y=function(e,n,i){const o=r("canvas"),a=o.getContext("2d");o.width=3,o.height=3;let l=0;return function r(){const o=performance.now();if(o-l<1e3/i||!t.playing)return void(h=requestAnimationFrame(r));l=o;const u=e.videoWidth/3,f=e.videoHeight/3,s=[[0,0],[u,0],[2*u,0],[0,f],[u,f],[2*u,f],[0,2*f],[u,2*f],[2*u,2*f]].map(([t,n])=>function(t,n,r,i){a.drawImage(e,t,n,r,i,0,0,1,1);const[o,l,u]=a.getImageData(0,0,1,1).data;return`rgb(${o}, ${l}, ${u})`}(t,n,u,f));n.forEach((e,t)=>{e.style.backgroundColor=s[t]}),h=requestAnimationFrame(r)}}(n,d,u);let h=null;function b(){h||y()}function v(){h&&(cancelAnimationFrame(h),h=null)}return t.on("ready",b),t.on("destroy",v),{name:"artplayerPluginAmbilight",start:b,stop:v}}}}); +!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.artplayerPluginAmbilight=t(),define(function(){return t.artplayerPluginAmbilight})):(e="undefined"!==typeof globalThis?globalThis:e||self).artplayerPluginAmbilight=t()}(this,function(){"use strict";return function(e={}){return t=>{const{$video:n}=t.template,{createElement:r,addClass:i,setStyles:o}=t.constructor.utils,{blur:a="50px",opacity:l=.5,frequency:u=10,duration:f=.3}=e,s=r("div"),d=((c=s).innerHTML=Array.from({length:9}).fill("
").join(""),Array.from(c.children));var c,m,p,g;!function(e,t){i(e,"artplayer-plugin-ambilight"),t.parentNode.insertBefore(e,t),o(e,{position:"absolute",top:0,left:0,zIndex:9,inset:0,display:"grid",gridTemplateColumns:"1fr 1fr 1fr",gridTemplateRows:"1fr 1fr 1fr"})}(s,n),m=a,p=l,g=f,d.forEach(e=>{o(e,{opacity:p,filter:`blur(${m})`,transition:`background-color ${g}s ease`})});const y=function(e,n,i){const o=r("canvas"),a=o.getContext("2d");o.width=3,o.height=3;let l=0;return function r(){const o=performance.now();if(o-l<1e3/i||!t.playing)return void(h=requestAnimationFrame(r));l=o;const u=e.videoWidth/3,f=e.videoHeight/3,s=[[0,0],[u,0],[2*u,0],[0,f],[u,f],[2*u,f],[0,2*f],[u,2*f],[2*u,2*f]].map(([t,n])=>function(t,n,r,i){a.drawImage(e,t,n,r,i,0,0,1,1);const[o,l,u]=a.getImageData(0,0,1,1).data;return`rgb(${o}, ${l}, ${u})`}(t,n,u,f));n.forEach((e,t)=>{e.style.backgroundColor=s[t]}),h=requestAnimationFrame(r)}}(n,d,u);let h=null;function b(){h||y()}function v(){h&&(cancelAnimationFrame(h),h=null)}return t.on("ready",b),t.on("destroy",v),{name:"artplayerPluginAmbilight",start:b,stop:v}}}}); diff --git a/docs/compiled/artplayer-plugin-asr.js b/docs/compiled/artplayer-plugin-asr.js index 6156f281d..e3d6ed33f 100644 --- a/docs/compiled/artplayer-plugin-asr.js +++ b/docs/compiled/artplayer-plugin-asr.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(t,e){"object"===typeof exports&&"undefined"!==typeof module?module.exports=e():"function"==typeof define&&define.amd?(t.ArtplayerPluginAsr=e(),define(function(){return t.ArtplayerPluginAsr})):(t="undefined"!==typeof globalThis?globalThis:t||self).ArtplayerPluginAsr=e()}(this,function(){"use strict";if("undefined"!==typeof document&&!document.getElementById("artplayer-plugin-asr")){const t=document.createElement("style");t.id="artplayer-plugin-asr",t.textContent=".art-video-player .art-layer-asr{pointer-events:none!important;position:absolute;z-index:150;inset:0;display:flex;flex-direction:column;justify-content:end;padding:0 2%;font-size:1rem;gap:var(--art-subtitle-gap);padding-bottom:var(--art-subtitle-bottom);transition:padding-bottom var(--art-transition-duration) ease;text-shadow:var(--art-subtitle-border) 1px 0 1px,var(--art-subtitle-border) 0 1px 1px,var(--art-subtitle-border) -1px 0 1px,var(--art-subtitle-border) 0 -1px 1px,var(--art-subtitle-border) 1px 1px 1px,var(--art-subtitle-border) -1px -1px 1px,var(--art-subtitle-border) 1px -1px 1px,var(--art-subtitle-border) -1px 1px 1px}.art-video-player.art-control-show .art-layer-asr{padding-bottom:calc(var(--art-control-height) + var(--art-subtitle-bottom))}",document.head.appendChild(t)}return function(t={}){const{length:e=3,interval:n=100,sampleRate:r=16e3,autoHideTimeout:a=1e4,onAudioChunk:o=()=>null}=t;return t=>{let i=!1,l=null,s=null,u=null,c=null,d=[],p=null,f=!1,y=null,m=null,g=null;const h=t.layers.add({name:"asr",html:""});function w(){h.style.display="none"}function b(t){var n;"string"===typeof t&&(clearTimeout(y),y=setTimeout(w,a),h.style.display="",h.innerHTML=(n=t,n.split(/(?<=[\u3001\u3002\uff01\uff1f!?.])\s*/u).map(t=>t.trim()).filter(Boolean).slice(-e)).map(t=>`
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`).join(""))}async function v(){if(!s&&t.video)try{return s=l.createMediaElementSource(t.video),s}catch(e){console.warn("[artplayerPluginAsr] Direct connection failed:",e)}try{if(m||(m=await async function(t){try{return t.captureStream?t.captureStream():t.mozCaptureStream?t.mozCaptureStream():(console.warn("[artplayerPluginAsr] captureStream not supported"),null)}catch(e){return console.warn("[artplayerPluginAsr] Error capturing stream:",e),null}}(t.video)),m)return g=l.createMediaStreamSource(m),g}catch(e){console.warn("[artplayerPluginAsr] MediaStream fallback failed:",e)}return null}async function x(){i&&(i=!1,clearInterval(p),p=null,u&&(u.disconnect(),u.port.onmessage=null,u=null),c&&(c.disconnect(),c=null),d=[])}async function A(){await x(),g&&(g.disconnect(),g=null),s&&(s.disconnect(),s=null),m&&(m.getTracks().forEach(t=>t.stop()),m=null),l&&(await l.close(),l=null),f=!1}return t.on("video:volumechange",()=>{c&&(c.gain.value=t.volume)}),t.on("play",async function(){if(!i)try{await async function(){return l||(l=new(window.AudioContext||window.webkitAudioContext)({sampleRate:r}),"suspended"===l.state&&await l.resume(),l)}();const t=await v();if(!t)throw new Error("Could not establish audio source");if(!f){const t=(()=>{const t=new Blob(["\n class RecorderProcessor extends AudioWorkletProcessor {\n process(inputs) {\n const input = inputs[0];\n if (input && input[0]) {\n this.port.postMessage(input[0]);\n }\n return true;\n }\n }\n registerProcessor('recorder-processor', RecorderProcessor);\n "],{type:"application/javascript"});return URL.createObjectURL(t)})();await l.audioWorklet.addModule(t),URL.revokeObjectURL(t),f=!0}c=l.createGain(),c.gain.value=1,u=new AudioWorkletNode(l,"recorder-processor"),u.port.onmessage=t=>{d.push(new Float32Array(t.data))},t.connect(u),t.connect(c),c.connect(l.destination);const e=r*(n/1e3);p=setInterval(async()=>{if(0===d.length)return;let t=new Float32Array(0);for(;t.length{for(let n=0;nnull}=t;return t=>{let i=!1,l=null,s=null,u=null,c=null,d=[],p=null,f=!1,y=null,m=null,g=null;const h=t.layers.add({name:"asr",html:""});function w(){h.style.display="none"}function b(t){var n;"string"===typeof t&&(clearTimeout(y),y=setTimeout(w,a),h.style.display="",h.innerHTML=(n=t,n.split(/(?<=[\u3001\u3002\uff01\uff1f!?.])\s*/u).map(t=>t.trim()).filter(Boolean).slice(-e)).map(t=>`
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`).join(""))}async function v(){if(!s&&t.video)try{return s=l.createMediaElementSource(t.video),s}catch(e){console.warn("[artplayerPluginAsr] Direct connection failed:",e)}try{if(m||(m=await async function(t){try{return t.captureStream?t.captureStream():t.mozCaptureStream?t.mozCaptureStream():(console.warn("[artplayerPluginAsr] captureStream not supported"),null)}catch(e){return console.warn("[artplayerPluginAsr] Error capturing stream:",e),null}}(t.video)),m)return g=l.createMediaStreamSource(m),g}catch(e){console.warn("[artplayerPluginAsr] MediaStream fallback failed:",e)}return null}async function x(){i&&(i=!1,clearInterval(p),p=null,u&&(u.disconnect(),u.port.onmessage=null,u=null),c&&(c.disconnect(),c=null),d=[])}async function A(){await x(),g&&(g.disconnect(),g=null),s&&(s.disconnect(),s=null),m&&(m.getTracks().forEach(t=>t.stop()),m=null),l&&(await l.close(),l=null),f=!1}return t.on("video:volumechange",()=>{c&&(c.gain.value=t.volume)}),t.on("play",async function(){if(!i)try{await async function(){return l||(l=new(window.AudioContext||window.webkitAudioContext)({sampleRate:r}),"suspended"===l.state&&await l.resume(),l)}();const t=await v();if(!t)throw new Error("Could not establish audio source");if(!f){const t=(()=>{const t=new Blob(["\n class RecorderProcessor extends AudioWorkletProcessor {\n process(inputs) {\n const input = inputs[0];\n if (input && input[0]) {\n this.port.postMessage(input[0]);\n }\n return true;\n }\n }\n registerProcessor('recorder-processor', RecorderProcessor);\n "],{type:"application/javascript"});return URL.createObjectURL(t)})();await l.audioWorklet.addModule(t),URL.revokeObjectURL(t),f=!0}c=l.createGain(),c.gain.value=1,u=new AudioWorkletNode(l,"recorder-processor"),u.port.onmessage=t=>{d.push(new Float32Array(t.data))},t.connect(u),t.connect(c),c.connect(l.destination);const e=r*(n/1e3);p=setInterval(async()=>{if(0===d.length)return;let t=new Float32Array(0);for(;t.length{for(let n=0;nnew Promise((r,o)=>{var a=t=>{try{l(n.next(t))}catch(e){o(e)}},i=t=>{try{l(n.throw(t))}catch(e){o(e)}},l=t=>t.done?r(t.value):Promise.resolve(t.value).then(a,i);l((n=n.apply(t,e)).next())});if("undefined"!==typeof document&&!document.getElementById("artplayer-plugin-asr")){const t=document.createElement("style");t.id="artplayer-plugin-asr",t.textContent=".art-video-player .art-layer-asr{pointer-events:none!important;position:absolute;z-index:150;inset:0;display:flex;flex-direction:column;justify-content:end;padding:0 2%;font-size:1rem;gap:var(--art-subtitle-gap);padding-bottom:var(--art-subtitle-bottom);transition:padding-bottom var(--art-transition-duration) ease;text-shadow:var(--art-subtitle-border) 1px 0 1px,var(--art-subtitle-border) 0 1px 1px,var(--art-subtitle-border) -1px 0 1px,var(--art-subtitle-border) 0 -1px 1px,var(--art-subtitle-border) 1px 1px 1px,var(--art-subtitle-border) -1px -1px 1px,var(--art-subtitle-border) 1px -1px 1px,var(--art-subtitle-border) -1px 1px 1px}.art-video-player.art-control-show .art-layer-asr{padding-bottom:calc(var(--art-control-height) + var(--art-subtitle-bottom))}",document.head.appendChild(t)}return function(e={}){const{length:n=3,interval:r=100,sampleRate:o=16e3,autoHideTimeout:a=1e4,onAudioChunk:i=()=>null}=e;return e=>{let l=!1,s=null,u=null,c=null,d=null,p=[],f=null,y=!1,m=null,h=null,g=null;const v=e.layers.add({name:"asr",html:""});function b(){v.style.display="none"}function x(t){var e;"string"===typeof t&&(clearTimeout(m),m=setTimeout(b,a),v.style.display="",v.innerHTML=(e=t,e.split(new RegExp("(?<=[\u3001\u3002\uff01\uff1f!?.])\\s*","u")).map(t=>t.trim()).filter(Boolean).slice(-n)).map(t=>`
${t}
`).join(""))}function w(){return t(this,null,function*(){if(!u&&e.video)try{return u=s.createMediaElementSource(e.video),u}catch(n){console.warn("[artplayerPluginAsr] Direct connection failed:",n)}try{if(h||(h=yield function(e){return t(this,null,function*(){try{return e.captureStream?e.captureStream():e.mozCaptureStream?e.mozCaptureStream():(console.warn("[artplayerPluginAsr] captureStream not supported"),null)}catch(n){return console.warn("[artplayerPluginAsr] Error capturing stream:",n),null}})}(e.video)),h)return g=s.createMediaStreamSource(h),g}catch(n){console.warn("[artplayerPluginAsr] MediaStream fallback failed:",n)}return null})}function A(){return t(this,null,function*(){l&&(l=!1,clearInterval(f),f=null,c&&(c.disconnect(),c.port.onmessage=null,c=null),d&&(d.disconnect(),d=null),p=[])})}function U(){return t(this,null,function*(){yield A(),g&&(g.disconnect(),g=null),u&&(u.disconnect(),u=null),h&&(h.getTracks().forEach(t=>t.stop()),h=null),s&&(yield s.close(),s=null),y=!1})}return e.on("video:volumechange",()=>{d&&(d.gain.value=e.volume)}),e.on("play",function(){return t(this,null,function*(){if(!l)try{yield function(){return t(this,null,function*(){return s||(s=new(window.AudioContext||window.webkitAudioContext)({sampleRate:o}),"suspended"===s.state&&(yield s.resume()),s)})}();const e=yield w();if(!e)throw new Error("Could not establish audio source");if(!y){const t=(()=>{const t=new Blob(["\n class RecorderProcessor extends AudioWorkletProcessor {\n process(inputs) {\n const input = inputs[0];\n if (input && input[0]) {\n this.port.postMessage(input[0]);\n }\n return true;\n }\n }\n registerProcessor('recorder-processor', RecorderProcessor);\n "],{type:"application/javascript"});return URL.createObjectURL(t)})();yield s.audioWorklet.addModule(t),URL.revokeObjectURL(t),y=!0}d=s.createGain(),d.gain.value=1,c=new AudioWorkletNode(s,"recorder-processor"),c.port.onmessage=t=>{p.push(new Float32Array(t.data))},e.connect(c),e.connect(d),d.connect(s.destination);const n=o*(r/1e3);f=setInterval(()=>t(null,null,function*(){if(0===p.length)return;let t=new Float32Array(0);for(;t.length{for(let n=0;nnew Promise((r,o)=>{var a=t=>{try{l(n.next(t))}catch(e){o(e)}},i=t=>{try{l(n.throw(t))}catch(e){o(e)}},l=t=>t.done?r(t.value):Promise.resolve(t.value).then(a,i);l((n=n.apply(t,e)).next())});if("undefined"!==typeof document&&!document.getElementById("artplayer-plugin-asr")){const t=document.createElement("style");t.id="artplayer-plugin-asr",t.textContent=".art-video-player .art-layer-asr{pointer-events:none!important;position:absolute;z-index:150;inset:0;display:flex;flex-direction:column;justify-content:end;padding:0 2%;font-size:1rem;gap:var(--art-subtitle-gap);padding-bottom:var(--art-subtitle-bottom);transition:padding-bottom var(--art-transition-duration) ease;text-shadow:var(--art-subtitle-border) 1px 0 1px,var(--art-subtitle-border) 0 1px 1px,var(--art-subtitle-border) -1px 0 1px,var(--art-subtitle-border) 0 -1px 1px,var(--art-subtitle-border) 1px 1px 1px,var(--art-subtitle-border) -1px -1px 1px,var(--art-subtitle-border) 1px -1px 1px,var(--art-subtitle-border) -1px 1px 1px}.art-video-player.art-control-show .art-layer-asr{padding-bottom:calc(var(--art-control-height) + var(--art-subtitle-bottom))}",document.head.appendChild(t)}return function(e={}){const{length:n=3,interval:r=100,sampleRate:o=16e3,autoHideTimeout:a=1e4,onAudioChunk:i=()=>null}=e;return e=>{let l=!1,s=null,u=null,c=null,d=null,p=[],f=null,y=!1,m=null,h=null,g=null;const v=e.layers.add({name:"asr",html:""});function b(){v.style.display="none"}function x(t){var e;"string"===typeof t&&(clearTimeout(m),m=setTimeout(b,a),v.style.display="",v.innerHTML=(e=t,e.split(new RegExp("(?<=[\u3001\u3002\uff01\uff1f!?.])\\s*","u")).map(t=>t.trim()).filter(Boolean).slice(-n)).map(t=>`
${t}
`).join(""))}function w(){return t(this,null,function*(){if(!u&&e.video)try{return u=s.createMediaElementSource(e.video),u}catch(n){console.warn("[artplayerPluginAsr] Direct connection failed:",n)}try{if(h||(h=yield function(e){return t(this,null,function*(){try{return e.captureStream?e.captureStream():e.mozCaptureStream?e.mozCaptureStream():(console.warn("[artplayerPluginAsr] captureStream not supported"),null)}catch(n){return console.warn("[artplayerPluginAsr] Error capturing stream:",n),null}})}(e.video)),h)return g=s.createMediaStreamSource(h),g}catch(n){console.warn("[artplayerPluginAsr] MediaStream fallback failed:",n)}return null})}function A(){return t(this,null,function*(){l&&(l=!1,clearInterval(f),f=null,c&&(c.disconnect(),c.port.onmessage=null,c=null),d&&(d.disconnect(),d=null),p=[])})}function U(){return t(this,null,function*(){yield A(),g&&(g.disconnect(),g=null),u&&(u.disconnect(),u=null),h&&(h.getTracks().forEach(t=>t.stop()),h=null),s&&(yield s.close(),s=null),y=!1})}return e.on("video:volumechange",()=>{d&&(d.gain.value=e.volume)}),e.on("play",function(){return t(this,null,function*(){if(!l)try{yield function(){return t(this,null,function*(){return s||(s=new(window.AudioContext||window.webkitAudioContext)({sampleRate:o}),"suspended"===s.state&&(yield s.resume()),s)})}();const e=yield w();if(!e)throw new Error("Could not establish audio source");if(!y){const t=(()=>{const t=new Blob(["\n class RecorderProcessor extends AudioWorkletProcessor {\n process(inputs) {\n const input = inputs[0];\n if (input && input[0]) {\n this.port.postMessage(input[0]);\n }\n return true;\n }\n }\n registerProcessor('recorder-processor', RecorderProcessor);\n "],{type:"application/javascript"});return URL.createObjectURL(t)})();yield s.audioWorklet.addModule(t),URL.revokeObjectURL(t),y=!0}d=s.createGain(),d.gain.value=1,c=new AudioWorkletNode(s,"recorder-processor"),c.port.onmessage=t=>{p.push(new Float32Array(t.data))},e.connect(c),e.connect(d),d.connect(s.destination);const n=o*(r/1e3);f=setInterval(()=>t(null,null,function*(){if(0===p.length)return;let t=new Float32Array(0);for(;t.length{for(let n=0;n{let{url:n,offset:a=0,sync:t=.3}=e;const u=new Audio;function i(){if(!o.video||!n)return;const e=o.currentTime+a;Math.abs(u.currentTime-e)>t&&(u.currentTime=e)}return u.preload="auto",n&&(u.src=n),o.on("play",()=>{n&&(i(),u.play().catch(e=>{console.warn(e)}))}),o.on("pause",()=>{u.pause()}),o.on("seek",()=>{i()}),o.on("video:timeupdate",()=>{o.playing&&i()}),o.on("video:ratechange",()=>{u.playbackRate=o.video.playbackRate}),o.on("video:volumechange",()=>{u.volume=o.volume,u.muted=o.muted}),o.on("video:waiting",()=>{u.pause()}),o.on("video:playing",()=>{n&&o.playing&&u.play().catch(e=>{console.warn(e)})}),o.on("destroy",()=>{u.pause(),u.src="",u.load()}),u.volume=o.volume,u.muted=o.muted,u.playbackRate=o.video?.playbackRate||1,{name:"artplayerPluginAudioTrack",audio:u,update:function(e){e.url&&e.url!==n&&(n=e.url,u.src=n,o.playing&&u.play().catch(e=>console.warn(e))),void 0!==e.offset&&(a=e.offset),void 0!==e.sync&&(t=e.sync)}}}}}); +!function(e,o){"object"===typeof exports&&"undefined"!==typeof module?module.exports=o():"function"==typeof define&&define.amd?(t.artplayerPluginAudioTrack=o(),define(function(){return t.artplayerPluginAudioTrack})):(e="undefined"!==typeof globalThis?globalThis:e||self).artplayerPluginAudioTrack=o()}(this,function(){"use strict";return function(e){return o=>{let{url:n,offset:a=0,sync:t=.3}=e;const u=new Audio;function i(){if(!o.video||!n)return;const e=o.currentTime+a;Math.abs(u.currentTime-e)>t&&(u.currentTime=e)}return u.preload="auto",n&&(u.src=n),o.on("play",()=>{n&&(i(),u.play().catch(e=>{console.warn(e)}))}),o.on("pause",()=>{u.pause()}),o.on("seek",()=>{i()}),o.on("video:timeupdate",()=>{o.playing&&i()}),o.on("video:ratechange",()=>{u.playbackRate=o.video.playbackRate}),o.on("video:volumechange",()=>{u.volume=o.volume,u.muted=o.muted}),o.on("video:waiting",()=>{u.pause()}),o.on("video:playing",()=>{n&&o.playing&&u.play().catch(e=>{console.warn(e)})}),o.on("destroy",()=>{u.pause(),u.src="",u.load()}),u.volume=o.volume,u.muted=o.muted,u.playbackRate=o.video?.playbackRate||1,{name:"artplayerPluginAudioTrack",audio:u,update:function(e){e.url&&e.url!==n&&(n=e.url,u.src=n,o.playing&&u.play().catch(e=>console.warn(e))),void 0!==e.offset&&(a=e.offset),void 0!==e.sync&&(t=e.sync)}}}}}); diff --git a/docs/compiled/artplayer-plugin-audio-track.legacy.js b/docs/compiled/artplayer-plugin-audio-track.legacy.js index 975295f47..2bc1d846d 100644 --- a/docs/compiled/artplayer-plugin-audio-track.legacy.js +++ b/docs/compiled/artplayer-plugin-audio-track.legacy.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(e,o){"object"===typeof exports&&"undefined"!==typeof module?module.exports=o():"function"==typeof define&&define.amd?(t.ArtplayerPluginAudioTrack=o(),define(function(){return t.ArtplayerPluginAudioTrack})):(e="undefined"!==typeof globalThis?globalThis:e||self).ArtplayerPluginAudioTrack=o()}(this,function(){"use strict";return function(e){return o=>{var n;let{url:a,offset:t=0,sync:u=.3}=e;const i=new Audio;function l(){if(!o.video||!a)return;const e=o.currentTime+t;Math.abs(i.currentTime-e)>u&&(i.currentTime=e)}return i.preload="auto",a&&(i.src=a),o.on("play",()=>{a&&(l(),i.play().catch(e=>{console.warn(e)}))}),o.on("pause",()=>{i.pause()}),o.on("seek",()=>{l()}),o.on("video:timeupdate",()=>{o.playing&&l()}),o.on("video:ratechange",()=>{i.playbackRate=o.video.playbackRate}),o.on("video:volumechange",()=>{i.volume=o.volume,i.muted=o.muted}),o.on("video:waiting",()=>{i.pause()}),o.on("video:playing",()=>{a&&o.playing&&i.play().catch(e=>{console.warn(e)})}),o.on("destroy",()=>{i.pause(),i.src="",i.load()}),i.volume=o.volume,i.muted=o.muted,i.playbackRate=(null==(n=o.video)?void 0:n.playbackRate)||1,{name:"artplayerPluginAudioTrack",audio:i,update:function(e){e.url&&e.url!==a&&(a=e.url,i.src=a,o.playing&&i.play().catch(e=>console.warn(e))),void 0!==e.offset&&(t=e.offset),void 0!==e.sync&&(u=e.sync)}}}}}); +!function(e,o){"object"===typeof exports&&"undefined"!==typeof module?module.exports=o():"function"==typeof define&&define.amd?(t.artplayerPluginAudioTrack=o(),define(function(){return t.artplayerPluginAudioTrack})):(e="undefined"!==typeof globalThis?globalThis:e||self).artplayerPluginAudioTrack=o()}(this,function(){"use strict";return function(e){return o=>{var n;let{url:a,offset:t=0,sync:u=.3}=e;const i=new Audio;function l(){if(!o.video||!a)return;const e=o.currentTime+t;Math.abs(i.currentTime-e)>u&&(i.currentTime=e)}return i.preload="auto",a&&(i.src=a),o.on("play",()=>{a&&(l(),i.play().catch(e=>{console.warn(e)}))}),o.on("pause",()=>{i.pause()}),o.on("seek",()=>{l()}),o.on("video:timeupdate",()=>{o.playing&&l()}),o.on("video:ratechange",()=>{i.playbackRate=o.video.playbackRate}),o.on("video:volumechange",()=>{i.volume=o.volume,i.muted=o.muted}),o.on("video:waiting",()=>{i.pause()}),o.on("video:playing",()=>{a&&o.playing&&i.play().catch(e=>{console.warn(e)})}),o.on("destroy",()=>{i.pause(),i.src="",i.load()}),i.volume=o.volume,i.muted=o.muted,i.playbackRate=(null==(n=o.video)?void 0:n.playbackRate)||1,{name:"artplayerPluginAudioTrack",audio:i,update:function(e){e.url&&e.url!==a&&(a=e.url,i.src=a,o.playing&&i.play().catch(e=>console.warn(e))),void 0!==e.offset&&(t=e.offset),void 0!==e.sync&&(u=e.sync)}}}}}); diff --git a/docs/compiled/artplayer-plugin-auto-thumbnail.js b/docs/compiled/artplayer-plugin-auto-thumbnail.js index a5c570989..1b03715ae 100644 --- a/docs/compiled/artplayer-plugin-auto-thumbnail.js +++ b/docs/compiled/artplayer-plugin-auto-thumbnail.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.ArtplayerPluginAutoThumbnail=t(),define(function(){return t.ArtplayerPluginAutoThumbnail})):(e="undefined"!==typeof globalThis?globalThis:e||self).ArtplayerPluginAutoThumbnail=t()}(this,function(){"use strict";return function(e){return async t=>(t.on("video:loadedmetadata",()=>{const n=e.url||t.option.url,o=e.width||160,i=e.number||100,u=e.scale||1;!function({url:e,width:t,number:n},o){const i=document.createElement("video");i.crossOrigin="anonymous",i.src=e,i.onloadedmetadata=()=>{const e=i.duration,u=document.createElement("canvas"),a=u.getContext("2d"),l=Math.floor(t*i.videoHeight/i.videoWidth);u.width=10*t,u.height=l*Math.ceil(n/10);let r=null;!function d(c){u.toBlob(e=>{URL.revokeObjectURL(r),r=URL.createObjectURL(e),o({url:r,height:l})},"image/jpeg"),c>=n||(i.currentTime=e*c/n,i.onseeked=()=>{a.drawImage(i,c%10*t,Math.floor(c/10)*l,t,l),d(c+1)})}(0)}}({url:n,width:o,number:i},e=>{t.thumbnails={...e,column:10,number:i,width:o,scale:u}})}),{name:"artplayerPluginAutoThumbnail"})}}); +!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.artplayerPluginAutoThumbnail=t(),define(function(){return t.artplayerPluginAutoThumbnail})):(e="undefined"!==typeof globalThis?globalThis:e||self).artplayerPluginAutoThumbnail=t()}(this,function(){"use strict";return function(e){return async t=>(t.on("video:loadedmetadata",()=>{const n=e.url||t.option.url,o=e.width||160,i=e.number||100,u=e.scale||1;!function({url:e,width:t,number:n},o){const i=document.createElement("video");i.crossOrigin="anonymous",i.src=e,i.onloadedmetadata=()=>{const e=i.duration,u=document.createElement("canvas"),a=u.getContext("2d"),l=Math.floor(t*i.videoHeight/i.videoWidth);u.width=10*t,u.height=l*Math.ceil(n/10);let r=null;!function d(c){u.toBlob(e=>{URL.revokeObjectURL(r),r=URL.createObjectURL(e),o({url:r,height:l})},"image/jpeg"),c>=n||(i.currentTime=e*c/n,i.onseeked=()=>{a.drawImage(i,c%10*t,Math.floor(c/10)*l,t,l),d(c+1)})}(0)}}({url:n,width:o,number:i},e=>{t.thumbnails={...e,column:10,number:i,width:o,scale:u}})}),{name:"artplayerPluginAutoThumbnail"})}}); diff --git a/docs/compiled/artplayer-plugin-auto-thumbnail.legacy.js b/docs/compiled/artplayer-plugin-auto-thumbnail.legacy.js index da79f89c6..b652cd5f5 100644 --- a/docs/compiled/artplayer-plugin-auto-thumbnail.legacy.js +++ b/docs/compiled/artplayer-plugin-auto-thumbnail.legacy.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.ArtplayerPluginAutoThumbnail=t(),define(function(){return t.ArtplayerPluginAutoThumbnail})):(e="undefined"!==typeof globalThis?globalThis:e||self).ArtplayerPluginAutoThumbnail=t()}(this,function(){"use strict";var e=Object.defineProperty,t=Object.defineProperties,n=Object.getOwnPropertyDescriptors,r=Object.getOwnPropertySymbols,o=Object.prototype.hasOwnProperty,a=Object.prototype.propertyIsEnumerable,i=(t,n,r)=>n in t?e(t,n,{enumerable:!0,configurable:!0,writable:!0,value:r}):t[n]=r;return function(e){return l=>{return u=null,c=null,d=function*(){return l.on("video:loadedmetadata",()=>{const u=e.url||l.option.url,c=e.width||160,d=e.number||100,s=e.scale||1;!function({url:e,width:t,number:n},r){const o=document.createElement("video");o.crossOrigin="anonymous",o.src=e,o.onloadedmetadata=()=>{const e=o.duration,a=document.createElement("canvas"),i=a.getContext("2d"),l=Math.floor(t*o.videoHeight/o.videoWidth);a.width=10*t,a.height=l*Math.ceil(n/10);let u=null;!function c(d){a.toBlob(e=>{URL.revokeObjectURL(u),u=URL.createObjectURL(e),r({url:u,height:l})},"image/jpeg"),d>=n||(o.currentTime=e*d/n,o.onseeked=()=>{i.drawImage(o,d%10*t,Math.floor(d/10)*l,t,l),c(d+1)})}(0)}}({url:u,width:c,number:d},e=>{var u;l.thumbnails=(u=((e,t)=>{for(var n in t||(t={}))o.call(t,n)&&i(e,n,t[n]);if(r)for(var n of r(t))a.call(t,n)&&i(e,n,t[n]);return e})({},e),t(u,n({column:10,number:d,width:c,scale:s})))})}),{name:"artplayerPluginAutoThumbnail"}},new Promise((e,t)=>{var n=e=>{try{o(d.next(e))}catch(n){t(n)}},r=e=>{try{o(d.throw(e))}catch(n){t(n)}},o=t=>t.done?e(t.value):Promise.resolve(t.value).then(n,r);o((d=d.apply(u,c)).next())});var u,c,d}}}); +!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.artplayerPluginAutoThumbnail=t(),define(function(){return t.artplayerPluginAutoThumbnail})):(e="undefined"!==typeof globalThis?globalThis:e||self).artplayerPluginAutoThumbnail=t()}(this,function(){"use strict";var e=Object.defineProperty,t=Object.defineProperties,n=Object.getOwnPropertyDescriptors,r=Object.getOwnPropertySymbols,o=Object.prototype.hasOwnProperty,a=Object.prototype.propertyIsEnumerable,i=(t,n,r)=>n in t?e(t,n,{enumerable:!0,configurable:!0,writable:!0,value:r}):t[n]=r;return function(e){return l=>{return u=null,c=null,d=function*(){return l.on("video:loadedmetadata",()=>{const u=e.url||l.option.url,c=e.width||160,d=e.number||100,s=e.scale||1;!function({url:e,width:t,number:n},r){const o=document.createElement("video");o.crossOrigin="anonymous",o.src=e,o.onloadedmetadata=()=>{const e=o.duration,a=document.createElement("canvas"),i=a.getContext("2d"),l=Math.floor(t*o.videoHeight/o.videoWidth);a.width=10*t,a.height=l*Math.ceil(n/10);let u=null;!function c(d){a.toBlob(e=>{URL.revokeObjectURL(u),u=URL.createObjectURL(e),r({url:u,height:l})},"image/jpeg"),d>=n||(o.currentTime=e*d/n,o.onseeked=()=>{i.drawImage(o,d%10*t,Math.floor(d/10)*l,t,l),c(d+1)})}(0)}}({url:u,width:c,number:d},e=>{var u;l.thumbnails=(u=((e,t)=>{for(var n in t||(t={}))o.call(t,n)&&i(e,n,t[n]);if(r)for(var n of r(t))a.call(t,n)&&i(e,n,t[n]);return e})({},e),t(u,n({column:10,number:d,width:c,scale:s})))})}),{name:"artplayerPluginAutoThumbnail"}},new Promise((e,t)=>{var n=e=>{try{o(d.next(e))}catch(n){t(n)}},r=e=>{try{o(d.throw(e))}catch(n){t(n)}},o=t=>t.done?e(t.value):Promise.resolve(t.value).then(n,r);o((d=d.apply(u,c)).next())});var u,c,d}}}); diff --git a/docs/compiled/artplayer-plugin-chapter.js b/docs/compiled/artplayer-plugin-chapter.js index b1aa93c83..f87cdc7d2 100644 --- a/docs/compiled/artplayer-plugin-chapter.js +++ b/docs/compiled/artplayer-plugin-chapter.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(t,e){"object"===typeof exports&&"undefined"!==typeof module?module.exports=e():"function"==typeof define&&define.amd?(t.ArtplayerPluginChapter=e(),define(function(){return t.ArtplayerPluginChapter})):(t="undefined"!==typeof globalThis?globalThis:t||self).ArtplayerPluginChapter=e()}(this,function(){"use strict";if("undefined"!==typeof document){const t="artplayer-plugin-chapter";let e=document.getElementById(t);e||(e=document.createElement("style"),e.id=t,"loading"===document.readyState?document.addEventListener("DOMContentLoaded",()=>{document.head.appendChild(e)}):(document.head||document.documentElement).appendChild(e)),e.textContent=".artplayer-plugin-chapter .art-control-progress-inner{height:100%!important;background-color:transparent!important}.artplayer-plugin-chapter .art-control-progress-inner>.art-progress-hover,.artplayer-plugin-chapter .art-control-progress-inner>.art-progress-loaded,.artplayer-plugin-chapter .art-control-progress-inner>.art-progress-played{display:none!important}.artplayer-plugin-chapter .art-control-thumbnails{bottom:calc(var(--art-bottom-gap) + 64px)!important}.artplayer-plugin-chapter .art-chapters{position:absolute;z-index:0;inset:0;display:flex;align-items:center;gap:4px;height:100%;transform:scaleY(1.25)}.artplayer-plugin-chapter .art-chapters .art-chapter{display:flex;align-items:center;height:100%}.artplayer-plugin-chapter .art-chapters .art-chapter .art-chapter-inner{position:relative;cursor:pointer;width:100%;height:50%;border-radius:10px;overflow:hidden;transition:height var(--art-transition-duration) ease;background-color:var(--art-progress-color)}.artplayer-plugin-chapter .art-chapters .art-chapter:hover .art-chapter-inner{height:100%}.artplayer-plugin-chapter .art-chapter-title{transform-origin:bottom center;transform:scale(.5);opacity:0;position:absolute;z-index:70;top:-50px;left:0;padding:3px 5px;line-height:1;font-size:14px;border-radius:var(--art-border-radius);white-space:nowrap;background-color:var(--art-tip-background);transition:transform var(--art-transition-duration) ease,opacity var(--art-transition-duration) ease}.artplayer-plugin-chapter.art-progress-hover .art-chapter-title{transform:scale(1);opacity:1}"}return function(t={}){return e=>{const{$player:r}=e.template,{setStyle:a,append:n,clamp:o,query:i,addClass:p,removeClass:s}=e.constructor.utils;let d=[];const l=e.query(".art-control-progress-inner"),c=n(l,'
'),h=n(l,'
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'),h=n(l,'
');function u({$chapter:t,width:e}){const r=t.dataset.title.trim();if(r){h.textContent=r;const t=h.clientWidth;e<=t/2?a(h,"left",0):e>l.clientWidth-t/2?a(h,"left",l.clientWidth-t+"px"):a(h,"left",e-t/2+"px")}}function g(t=[]){if(d=[],c.textContent="",s(r,"artplayer-plugin-chapter"),Array.isArray(t)&&t.length&&e.duration){t=t.sort((t,e)=>t.start-e.start);for(let r=0;re.duration||a.start>=a.end)throw new Error("Illegal chapter time point");if(n&&a.end>n.start)throw new Error("Illegal chapter time point")}t[0].start>0&&t.unshift({start:0,end:t[0].start,title:""}),t[t.length-1].end{const r=n(c,'\n
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\n '),a=o(t.start,0,e.duration),p=o(t.end,0,e.duration),s=p-a,d=s/e.duration;return r.dataset.start=a,r.dataset.end=p,r.dataset.duration=s,r.dataset.title=t.title.trim(),r.style.width=100*d+"%",{$chapter:r,$hover:i(".art-progress-hover",r),$loaded:i(".art-progress-loaded",r),$played:i(".art-progress-played",r)}}),p(r,"artplayer-plugin-chapter"),e.emit("setBar","loaded",e.loaded||0)}}return e.on("setBar",(t,r)=>{if(d.length)for(let n=0;nm&&a(l,"width","100%"),g>=f&&g<=m){a(l,"width",100*((g-f)/y)+"%"),"hover"===t&&h>0&&u({$chapter:o,width:h})}}}),e.once("video:loadedmetadata",()=>g(t.chapters)),{name:"artplayerPluginChapter",update:({chapters:t})=>g(t)}}}}); diff --git a/docs/compiled/artplayer-plugin-chapter.legacy.js b/docs/compiled/artplayer-plugin-chapter.legacy.js index b1aa93c83..f87cdc7d2 100644 --- a/docs/compiled/artplayer-plugin-chapter.legacy.js +++ b/docs/compiled/artplayer-plugin-chapter.legacy.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(t,e){"object"===typeof exports&&"undefined"!==typeof module?module.exports=e():"function"==typeof define&&define.amd?(t.ArtplayerPluginChapter=e(),define(function(){return t.ArtplayerPluginChapter})):(t="undefined"!==typeof globalThis?globalThis:t||self).ArtplayerPluginChapter=e()}(this,function(){"use strict";if("undefined"!==typeof document){const t="artplayer-plugin-chapter";let e=document.getElementById(t);e||(e=document.createElement("style"),e.id=t,"loading"===document.readyState?document.addEventListener("DOMContentLoaded",()=>{document.head.appendChild(e)}):(document.head||document.documentElement).appendChild(e)),e.textContent=".artplayer-plugin-chapter .art-control-progress-inner{height:100%!important;background-color:transparent!important}.artplayer-plugin-chapter .art-control-progress-inner>.art-progress-hover,.artplayer-plugin-chapter .art-control-progress-inner>.art-progress-loaded,.artplayer-plugin-chapter .art-control-progress-inner>.art-progress-played{display:none!important}.artplayer-plugin-chapter .art-control-thumbnails{bottom:calc(var(--art-bottom-gap) + 64px)!important}.artplayer-plugin-chapter .art-chapters{position:absolute;z-index:0;inset:0;display:flex;align-items:center;gap:4px;height:100%;transform:scaleY(1.25)}.artplayer-plugin-chapter .art-chapters .art-chapter{display:flex;align-items:center;height:100%}.artplayer-plugin-chapter .art-chapters .art-chapter .art-chapter-inner{position:relative;cursor:pointer;width:100%;height:50%;border-radius:10px;overflow:hidden;transition:height var(--art-transition-duration) ease;background-color:var(--art-progress-color)}.artplayer-plugin-chapter .art-chapters .art-chapter:hover .art-chapter-inner{height:100%}.artplayer-plugin-chapter .art-chapter-title{transform-origin:bottom center;transform:scale(.5);opacity:0;position:absolute;z-index:70;top:-50px;left:0;padding:3px 5px;line-height:1;font-size:14px;border-radius:var(--art-border-radius);white-space:nowrap;background-color:var(--art-tip-background);transition:transform var(--art-transition-duration) ease,opacity var(--art-transition-duration) ease}.artplayer-plugin-chapter.art-progress-hover .art-chapter-title{transform:scale(1);opacity:1}"}return function(t={}){return e=>{const{$player:r}=e.template,{setStyle:a,append:n,clamp:o,query:i,addClass:p,removeClass:s}=e.constructor.utils;let d=[];const l=e.query(".art-control-progress-inner"),c=n(l,'
'),h=n(l,'
');function u({$chapter:t,width:e}){const r=t.dataset.title.trim();if(r){h.textContent=r;const t=h.clientWidth;e<=t/2?a(h,"left",0):e>l.clientWidth-t/2?a(h,"left",l.clientWidth-t+"px"):a(h,"left",e-t/2+"px")}}function g(t=[]){if(d=[],c.textContent="",s(r,"artplayer-plugin-chapter"),Array.isArray(t)&&t.length&&e.duration){t=t.sort((t,e)=>t.start-e.start);for(let r=0;re.duration||a.start>=a.end)throw new Error("Illegal chapter time point");if(n&&a.end>n.start)throw new Error("Illegal chapter time point")}t[0].start>0&&t.unshift({start:0,end:t[0].start,title:""}),t[t.length-1].end{const r=n(c,'\n
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\n '),a=o(t.start,0,e.duration),p=o(t.end,0,e.duration),s=p-a,d=s/e.duration;return r.dataset.start=a,r.dataset.end=p,r.dataset.duration=s,r.dataset.title=t.title.trim(),r.style.width=100*d+"%",{$chapter:r,$hover:i(".art-progress-hover",r),$loaded:i(".art-progress-loaded",r),$played:i(".art-progress-played",r)}}),p(r,"artplayer-plugin-chapter"),e.emit("setBar","loaded",e.loaded||0)}}return e.on("setBar",(t,r)=>{if(d.length)for(let n=0;nm&&a(l,"width","100%"),g>=f&&g<=m){a(l,"width",100*((g-f)/y)+"%"),"hover"===t&&h>0&&u({$chapter:o,width:h})}}}),e.once("video:loadedmetadata",()=>g(t.chapters)),{name:"artplayerPluginChapter",update:({chapters:t})=>g(t)}}}}); +!function(t,e){"object"===typeof exports&&"undefined"!==typeof module?module.exports=e():"function"==typeof define&&define.amd?(t.artplayerPluginChapter=e(),define(function(){return t.artplayerPluginChapter})):(t="undefined"!==typeof globalThis?globalThis:t||self).artplayerPluginChapter=e()}(this,function(){"use strict";if("undefined"!==typeof document){const t="artplayer-plugin-chapter";let e=document.getElementById(t);e||(e=document.createElement("style"),e.id=t,"loading"===document.readyState?document.addEventListener("DOMContentLoaded",()=>{document.head.appendChild(e)}):(document.head||document.documentElement).appendChild(e)),e.textContent=".artplayer-plugin-chapter .art-control-progress-inner{height:100%!important;background-color:transparent!important}.artplayer-plugin-chapter .art-control-progress-inner>.art-progress-hover,.artplayer-plugin-chapter .art-control-progress-inner>.art-progress-loaded,.artplayer-plugin-chapter .art-control-progress-inner>.art-progress-played{display:none!important}.artplayer-plugin-chapter .art-control-thumbnails{bottom:calc(var(--art-bottom-gap) + 64px)!important}.artplayer-plugin-chapter .art-chapters{position:absolute;z-index:0;inset:0;display:flex;align-items:center;gap:4px;height:100%;transform:scaleY(1.25)}.artplayer-plugin-chapter .art-chapters .art-chapter{display:flex;align-items:center;height:100%}.artplayer-plugin-chapter .art-chapters .art-chapter .art-chapter-inner{position:relative;cursor:pointer;width:100%;height:50%;border-radius:10px;overflow:hidden;transition:height var(--art-transition-duration) ease;background-color:var(--art-progress-color)}.artplayer-plugin-chapter .art-chapters .art-chapter:hover .art-chapter-inner{height:100%}.artplayer-plugin-chapter .art-chapter-title{transform-origin:bottom center;transform:scale(.5);opacity:0;position:absolute;z-index:70;top:-50px;left:0;padding:3px 5px;line-height:1;font-size:14px;border-radius:var(--art-border-radius);white-space:nowrap;background-color:var(--art-tip-background);transition:transform var(--art-transition-duration) ease,opacity var(--art-transition-duration) ease}.artplayer-plugin-chapter.art-progress-hover .art-chapter-title{transform:scale(1);opacity:1}"}return function(t={}){return e=>{const{$player:r}=e.template,{setStyle:a,append:n,clamp:o,query:i,addClass:p,removeClass:s}=e.constructor.utils;let d=[];const l=e.query(".art-control-progress-inner"),c=n(l,'
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\n
\n '),a=o(t.start,0,e.duration),p=o(t.end,0,e.duration),s=p-a,d=s/e.duration;return r.dataset.start=a,r.dataset.end=p,r.dataset.duration=s,r.dataset.title=t.title.trim(),r.style.width=100*d+"%",{$chapter:r,$hover:i(".art-progress-hover",r),$loaded:i(".art-progress-loaded",r),$played:i(".art-progress-played",r)}}),p(r,"artplayer-plugin-chapter"),e.emit("setBar","loaded",e.loaded||0)}}return e.on("setBar",(t,r)=>{if(d.length)for(let n=0;nm&&a(l,"width","100%"),g>=f&&g<=m){a(l,"width",100*((g-f)/y)+"%"),"hover"===t&&h>0&&u({$chapter:o,width:h})}}}),e.once("video:loadedmetadata",()=>g(t.chapters)),{name:"artplayerPluginChapter",update:({chapters:t})=>g(t)}}}}); diff --git a/docs/compiled/artplayer-plugin-chromecast.js b/docs/compiled/artplayer-plugin-chromecast.js index dc19fb1e9..c9af83721 100644 --- a/docs/compiled/artplayer-plugin-chromecast.js +++ b/docs/compiled/artplayer-plugin-chromecast.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.ArtplayerPluginChromecast=t(),define(function(){return t.ArtplayerPluginChromecast})):(e="undefined"!==typeof globalThis?globalThis:e||self).ArtplayerPluginChromecast=t()}(this,function(){"use strict";return function(e){let t=!1,o=null,n=null;const a=e=>{const t=document.querySelector(".art-icon-cast");if(t)switch(e){case"connected":t.style.color="red";break;case"connecting":case"disconnecting":t.style.color="orange";break;default:t.style.color="white"}},c=()=>new Promise((c,s)=>{var i;window.__onGCastApiAvailable=i=>{if(i){const s=window.cast.framework.CastContext.getInstance();s.setOptions({receiverApplicationId:window.chrome.cast.media.DEFAULT_MEDIA_RECEIVER_APP_ID,autoJoinPolicy:window.chrome.cast.AutoJoinPolicy.ORIGIN_SCOPED}),s.addEventListener(window.cast.framework.CastContextEventType.SESSION_STATE_CHANGED,t=>{const c=window.cast.framework.SessionState;switch(n=t.sessionState,o=t.session,t.sessionState){case c.NO_SESSION:e.onStateChange?.("disconnected"),a("disconnected");break;case c.SESSION_STARTING:e.onStateChange?.("connecting"),a("connecting");break;case c.SESSION_STARTED:e.onStateChange?.("connected"),a("connected");break;case c.SESSION_ENDING:e.onStateChange?.("disconnecting"),a("disconnecting");break;case c.SESSION_RESUMED:e.onStateChange?.("connected"),a("connected")}}),s.addEventListener(window.cast.framework.CastContextEventType.CAST_STATE_CHANGED,t=>{const o=window.cast.framework.CastState;switch(t.castState){case o.NO_DEVICES_AVAILABLE:e.onCastAvailable?.(!1);break;case o.NOT_CONNECTED:case o.CONNECTING:case o.CONNECTED:e.onCastAvailable?.(!0)}}),t=!0,c()}else s(new Error("Cast API is not available"))},window.chrome&&window.chrome.cast||(i=e.sdk||"https://www.gstatic.com/cv/js/sender/v1/cast_sender.js?loadCastFramework=1",new Promise((e,t)=>{const o=document.createElement("script");o.src=i,o.onload=e,o.onerror=t,document.body.appendChild(o)})).catch(s)}),s=(t,o)=>{const n=e.url||t.option.url,a=new window.chrome.cast.media.MediaInfo(n,e.mimeType||function(e){return{mp4:"video/mp4",webm:"video/webm",ogg:"video/ogg",ogv:"video/ogg",mp3:"audio/mp3",wav:"audio/wav",flv:"video/x-flv",mov:"video/quicktime",avi:"video/x-msvideo",wmv:"video/x-ms-wmv",mpd:"application/dash+xml",m3u8:"application/x-mpegURL"}[e.split("?")[0].split("#")[0].split(".").pop().toLowerCase()]||"application/octet-stream"}(n)),c=new window.chrome.cast.media.LoadRequest(a);o.loadMedia(c).then(()=>{t.notice.show="Casting started",e.onCastStart?.()}).catch(o=>{throw t.notice.show="Error casting media",e.onError?.(o),o})};return async a=>(a.controls.add({name:"chromecast",position:"right",tooltip:"Chromecast",html:`${e.icon||''}`,click:async()=>{if(!t)try{await c()}catch(i){throw a.notice.show="Failed to initialize Cast API",e.onError?.(i),i}const n=window.cast.framework.CastContext.getInstance();if(o)s(a,o);else try{const e=await n.requestSession();s(a,e)}catch(i){throw a.notice.show="Error connecting to cast session",e.onError?.(i),i}}}),{name:"artplayerPluginChromecast",getCastState:()=>n,isCasting:()=>null!==o})}}); +!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.artplayerPluginChromecast=t(),define(function(){return t.artplayerPluginChromecast})):(e="undefined"!==typeof globalThis?globalThis:e||self).artplayerPluginChromecast=t()}(this,function(){"use strict";return function(e){let t=!1,o=null,n=null;const a=e=>{const t=document.querySelector(".art-icon-cast");if(t)switch(e){case"connected":t.style.color="red";break;case"connecting":case"disconnecting":t.style.color="orange";break;default:t.style.color="white"}},c=()=>new Promise((c,s)=>{var i;window.__onGCastApiAvailable=i=>{if(i){const s=window.cast.framework.CastContext.getInstance();s.setOptions({receiverApplicationId:window.chrome.cast.media.DEFAULT_MEDIA_RECEIVER_APP_ID,autoJoinPolicy:window.chrome.cast.AutoJoinPolicy.ORIGIN_SCOPED}),s.addEventListener(window.cast.framework.CastContextEventType.SESSION_STATE_CHANGED,t=>{const c=window.cast.framework.SessionState;switch(n=t.sessionState,o=t.session,t.sessionState){case c.NO_SESSION:e.onStateChange?.("disconnected"),a("disconnected");break;case c.SESSION_STARTING:e.onStateChange?.("connecting"),a("connecting");break;case c.SESSION_STARTED:e.onStateChange?.("connected"),a("connected");break;case c.SESSION_ENDING:e.onStateChange?.("disconnecting"),a("disconnecting");break;case c.SESSION_RESUMED:e.onStateChange?.("connected"),a("connected")}}),s.addEventListener(window.cast.framework.CastContextEventType.CAST_STATE_CHANGED,t=>{const o=window.cast.framework.CastState;switch(t.castState){case o.NO_DEVICES_AVAILABLE:e.onCastAvailable?.(!1);break;case o.NOT_CONNECTED:case o.CONNECTING:case o.CONNECTED:e.onCastAvailable?.(!0)}}),t=!0,c()}else s(new Error("Cast API is not available"))},window.chrome&&window.chrome.cast||(i=e.sdk||"https://www.gstatic.com/cv/js/sender/v1/cast_sender.js?loadCastFramework=1",new Promise((e,t)=>{const o=document.createElement("script");o.src=i,o.onload=e,o.onerror=t,document.body.appendChild(o)})).catch(s)}),s=(t,o)=>{const n=e.url||t.option.url,a=new window.chrome.cast.media.MediaInfo(n,e.mimeType||function(e){return{mp4:"video/mp4",webm:"video/webm",ogg:"video/ogg",ogv:"video/ogg",mp3:"audio/mp3",wav:"audio/wav",flv:"video/x-flv",mov:"video/quicktime",avi:"video/x-msvideo",wmv:"video/x-ms-wmv",mpd:"application/dash+xml",m3u8:"application/x-mpegURL"}[e.split("?")[0].split("#")[0].split(".").pop().toLowerCase()]||"application/octet-stream"}(n)),c=new window.chrome.cast.media.LoadRequest(a);o.loadMedia(c).then(()=>{t.notice.show="Casting started",e.onCastStart?.()}).catch(o=>{throw t.notice.show="Error casting media",e.onError?.(o),o})};return async a=>(a.controls.add({name:"chromecast",position:"right",tooltip:"Chromecast",html:`${e.icon||''}`,click:async()=>{if(!t)try{await c()}catch(i){throw a.notice.show="Failed to initialize Cast API",e.onError?.(i),i}const n=window.cast.framework.CastContext.getInstance();if(o)s(a,o);else try{const e=await n.requestSession();s(a,e)}catch(i){throw a.notice.show="Error connecting to cast session",e.onError?.(i),i}}}),{name:"artplayerPluginChromecast",getCastState:()=>n,isCasting:()=>null!==o})}}); diff --git a/docs/compiled/artplayer-plugin-chromecast.legacy.js b/docs/compiled/artplayer-plugin-chromecast.legacy.js index 37fe1d0de..c8822c840 100644 --- a/docs/compiled/artplayer-plugin-chromecast.legacy.js +++ b/docs/compiled/artplayer-plugin-chromecast.legacy.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.ArtplayerPluginChromecast=t(),define(function(){return t.ArtplayerPluginChromecast})):(e="undefined"!==typeof globalThis?globalThis:e||self).ArtplayerPluginChromecast=t()}(this,function(){"use strict";var e=(e,t,n)=>new Promise((o,a)=>{var c=e=>{try{i(n.next(e))}catch(t){a(t)}},s=e=>{try{i(n.throw(e))}catch(t){a(t)}},i=e=>e.done?o(e.value):Promise.resolve(e.value).then(c,s);i((n=n.apply(e,t)).next())});return function(t){let n=!1,o=null,a=null;const c=e=>{const t=document.querySelector(".art-icon-cast");if(t)switch(e){case"connected":t.style.color="red";break;case"connecting":case"disconnecting":t.style.color="orange";break;default:t.style.color="white"}},s=()=>new Promise((e,s)=>{var i;window.__onGCastApiAvailable=i=>{if(i){const s=window.cast.framework.CastContext.getInstance();s.setOptions({receiverApplicationId:window.chrome.cast.media.DEFAULT_MEDIA_RECEIVER_APP_ID,autoJoinPolicy:window.chrome.cast.AutoJoinPolicy.ORIGIN_SCOPED}),s.addEventListener(window.cast.framework.CastContextEventType.SESSION_STATE_CHANGED,e=>{var n,s,i,l,r;const d=window.cast.framework.SessionState;switch(a=e.sessionState,o=e.session,e.sessionState){case d.NO_SESSION:null==(n=t.onStateChange)||n.call(t,"disconnected"),c("disconnected");break;case d.SESSION_STARTING:null==(s=t.onStateChange)||s.call(t,"connecting"),c("connecting");break;case d.SESSION_STARTED:null==(i=t.onStateChange)||i.call(t,"connected"),c("connected");break;case d.SESSION_ENDING:null==(l=t.onStateChange)||l.call(t,"disconnecting"),c("disconnecting");break;case d.SESSION_RESUMED:null==(r=t.onStateChange)||r.call(t,"connected"),c("connected")}}),s.addEventListener(window.cast.framework.CastContextEventType.CAST_STATE_CHANGED,e=>{var n,o,a;const c=window.cast.framework.CastState;switch(e.castState){case c.NO_DEVICES_AVAILABLE:null==(n=t.onCastAvailable)||n.call(t,!1);break;case c.NOT_CONNECTED:null==(o=t.onCastAvailable)||o.call(t,!0);break;case c.CONNECTING:case c.CONNECTED:null==(a=t.onCastAvailable)||a.call(t,!0)}}),n=!0,e()}else s(new Error("Cast API is not available"))},window.chrome&&window.chrome.cast||(i=t.sdk||"https://www.gstatic.com/cv/js/sender/v1/cast_sender.js?loadCastFramework=1",new Promise((e,t)=>{const n=document.createElement("script");n.src=i,n.onload=e,n.onerror=t,document.body.appendChild(n)})).catch(s)}),i=(e,n)=>{const o=t.url||e.option.url,a=new window.chrome.cast.media.MediaInfo(o,t.mimeType||function(e){return{mp4:"video/mp4",webm:"video/webm",ogg:"video/ogg",ogv:"video/ogg",mp3:"audio/mp3",wav:"audio/wav",flv:"video/x-flv",mov:"video/quicktime",avi:"video/x-msvideo",wmv:"video/x-ms-wmv",mpd:"application/dash+xml",m3u8:"application/x-mpegURL"}[e.split("?")[0].split("#")[0].split(".").pop().toLowerCase()]||"application/octet-stream"}(o)),c=new window.chrome.cast.media.LoadRequest(a);n.loadMedia(c).then(()=>{var n;e.notice.show="Casting started",null==(n=t.onCastStart)||n.call(t)}).catch(n=>{var o;throw e.notice.show="Error casting media",null==(o=t.onError)||o.call(t,n),n})};return c=>e(null,null,function*(){return c.controls.add({name:"chromecast",position:"right",tooltip:"Chromecast",html:`${t.icon||''}`,click:()=>e(null,null,function*(){var e,a;if(!n)try{yield s()}catch(r){throw c.notice.show="Failed to initialize Cast API",null==(e=t.onError)||e.call(t,r),r}const l=window.cast.framework.CastContext.getInstance();if(o)i(c,o);else try{const e=yield l.requestSession();i(c,e)}catch(r){throw c.notice.show="Error connecting to cast session",null==(a=t.onError)||a.call(t,r),r}})}),{name:"artplayerPluginChromecast",getCastState:()=>a,isCasting:()=>null!==o}})}}); +!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.artplayerPluginChromecast=t(),define(function(){return t.artplayerPluginChromecast})):(e="undefined"!==typeof globalThis?globalThis:e||self).artplayerPluginChromecast=t()}(this,function(){"use strict";var e=(e,t,n)=>new Promise((o,a)=>{var c=e=>{try{i(n.next(e))}catch(t){a(t)}},s=e=>{try{i(n.throw(e))}catch(t){a(t)}},i=e=>e.done?o(e.value):Promise.resolve(e.value).then(c,s);i((n=n.apply(e,t)).next())});return function(t){let n=!1,o=null,a=null;const c=e=>{const t=document.querySelector(".art-icon-cast");if(t)switch(e){case"connected":t.style.color="red";break;case"connecting":case"disconnecting":t.style.color="orange";break;default:t.style.color="white"}},s=()=>new Promise((e,s)=>{var i;window.__onGCastApiAvailable=i=>{if(i){const s=window.cast.framework.CastContext.getInstance();s.setOptions({receiverApplicationId:window.chrome.cast.media.DEFAULT_MEDIA_RECEIVER_APP_ID,autoJoinPolicy:window.chrome.cast.AutoJoinPolicy.ORIGIN_SCOPED}),s.addEventListener(window.cast.framework.CastContextEventType.SESSION_STATE_CHANGED,e=>{var n,s,i,l,r;const d=window.cast.framework.SessionState;switch(a=e.sessionState,o=e.session,e.sessionState){case d.NO_SESSION:null==(n=t.onStateChange)||n.call(t,"disconnected"),c("disconnected");break;case d.SESSION_STARTING:null==(s=t.onStateChange)||s.call(t,"connecting"),c("connecting");break;case d.SESSION_STARTED:null==(i=t.onStateChange)||i.call(t,"connected"),c("connected");break;case d.SESSION_ENDING:null==(l=t.onStateChange)||l.call(t,"disconnecting"),c("disconnecting");break;case d.SESSION_RESUMED:null==(r=t.onStateChange)||r.call(t,"connected"),c("connected")}}),s.addEventListener(window.cast.framework.CastContextEventType.CAST_STATE_CHANGED,e=>{var n,o,a;const c=window.cast.framework.CastState;switch(e.castState){case c.NO_DEVICES_AVAILABLE:null==(n=t.onCastAvailable)||n.call(t,!1);break;case c.NOT_CONNECTED:null==(o=t.onCastAvailable)||o.call(t,!0);break;case c.CONNECTING:case c.CONNECTED:null==(a=t.onCastAvailable)||a.call(t,!0)}}),n=!0,e()}else s(new Error("Cast API is not available"))},window.chrome&&window.chrome.cast||(i=t.sdk||"https://www.gstatic.com/cv/js/sender/v1/cast_sender.js?loadCastFramework=1",new Promise((e,t)=>{const n=document.createElement("script");n.src=i,n.onload=e,n.onerror=t,document.body.appendChild(n)})).catch(s)}),i=(e,n)=>{const o=t.url||e.option.url,a=new window.chrome.cast.media.MediaInfo(o,t.mimeType||function(e){return{mp4:"video/mp4",webm:"video/webm",ogg:"video/ogg",ogv:"video/ogg",mp3:"audio/mp3",wav:"audio/wav",flv:"video/x-flv",mov:"video/quicktime",avi:"video/x-msvideo",wmv:"video/x-ms-wmv",mpd:"application/dash+xml",m3u8:"application/x-mpegURL"}[e.split("?")[0].split("#")[0].split(".").pop().toLowerCase()]||"application/octet-stream"}(o)),c=new window.chrome.cast.media.LoadRequest(a);n.loadMedia(c).then(()=>{var n;e.notice.show="Casting started",null==(n=t.onCastStart)||n.call(t)}).catch(n=>{var o;throw e.notice.show="Error casting media",null==(o=t.onError)||o.call(t,n),n})};return c=>e(null,null,function*(){return c.controls.add({name:"chromecast",position:"right",tooltip:"Chromecast",html:`${t.icon||''}`,click:()=>e(null,null,function*(){var e,a;if(!n)try{yield s()}catch(r){throw c.notice.show="Failed to initialize Cast API",null==(e=t.onError)||e.call(t,r),r}const l=window.cast.framework.CastContext.getInstance();if(o)i(c,o);else try{const e=yield l.requestSession();i(c,e)}catch(r){throw c.notice.show="Error connecting to cast session",null==(a=t.onError)||a.call(t,r),r}})}),{name:"artplayerPluginChromecast",getCastState:()=>a,isCasting:()=>null!==o}})}}); diff --git a/docs/compiled/artplayer-plugin-danmuku-mask.js b/docs/compiled/artplayer-plugin-danmuku-mask.js index c30485ff2..098b1dbcb 100644 --- a/docs/compiled/artplayer-plugin-danmuku-mask.js +++ b/docs/compiled/artplayer-plugin-danmuku-mask.js @@ -4,4 +4,4 @@ * (c) 2017-2026 Harvey Zhao * Released under the MIT License. */ -!function(e,t){"object"===typeof exports&&"undefined"!==typeof module?module.exports=t():"function"==typeof define&&define.amd?(t.ArtplayerPluginDanmukuMask=t(),define(function(){return t.ArtplayerPluginDanmukuMask})):(e="undefined"!==typeof globalThis?globalThis:e||self).ArtplayerPluginDanmukuMask=t()}(this,function(){"use strict";function e(e,t){for(var n=0;nr[t]})}}return Object.freeze(Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}))}class t{constructor(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}get(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)}set(e,t){this.dataIdsCount++,this.data.set(e,t)}has(e){return this.data.has(e)}delete(e){return this.dataIdsCount--,this.data.delete(e)}numDataIds(){return this.dataIdsCount}}class n{refCount(e){return r("refCount")}incRef(e){return r("incRef")}timerAvailable(){return!0}time(e){return r("time")}read(e){return r("read")}readSync(e){return r("readSync")}readToGPU(e,t){return r("readToGPU")}numDataIds(){return r("numDataIds")}disposeData(e,t){return r("disposeData")}write(e,t,n){return r("write")}move(e,t,n,a,s){return r("move")}createTensorFromGPUData(e,t,n){return r("createTensorFromGPUData")}memory(){return r("memory")}floatPrecision(){return r("floatPrecision")}epsilon(){return 32===this.floatPrecision()?1e-7:1e-4}dispose(){return r("dispose")}}function r(e){throw new Error(`'${e}' not yet implemented or not found in the registry. 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s;const o=Fr();if(this.backendTimer.timerAvailable())s=this.backendTimer.time(a);else{a();for(const e of r)e.dataSync();s=Promise.resolve({kernelMs:Fr()-o})}if(V().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let i=0;i{Vr(n,t.dtype,e)})}return{kernelName:e,outputs:r,inputs:t,timeMs:s.then(e=>e.kernelMs),extraInfo:s.then(e=>null!=e.getExtraProfileInfo?e.getExtraProfileInfo():"")}}logKernelProfile(e){const{kernelName:t,outputs:n,timeMs:r,inputs:a,extraInfo:s}=e;n.forEach(e=>{Promise.all([e.data(),r,s]).then(n=>{this.logger.logKernelProfile(t,e,n[0],n[1],a,n[2])})})}}function Vr(e,t,n){if("float32"!==t)return!1;for(let r=0;r0?n:""} `}}console.log(`%c${i}\t%c${o}\t%c${u}D ${c}\t%c${l}\t%c${d}\t%c${s}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}}function zr(e,t,n,r){const a=C(t),s=function(e,t,n,r){const a=c(t),s=r[r.length-1],o=new Array(s).fill(0),i=t.length,u="complex64"===n?jr(e):e;if(i>1)for(let l=0;l" "+e).join("\n")),u.join("\n")}function Ur(e,t,n){let r;return r=Array.isArray(e)?`${parseFloat(e[0].toFixed(7))} + ${parseFloat(e[1].toFixed(7))}j`:I(e)?`'${e}'`:"bool"===n?Gr(e):parseFloat(e.toFixed(7)).toString(),f(r,t)}function Gr(e){return 0===e?"false":"true"}function Hr(e,t,n,r,a,s=!0){const o="complex64"===n?2:1,i=t[0],u=t.length;if(0===u){if("complex64"===n){return[Ur(jr(e)[0],0,n)]}return"bool"===n?[Gr(e[0])]:[e[0].toString()]}if(1===u){if(i>20){const t=3*o;let r=Array.from(e.slice(0,t)),s=Array.from(e.slice((i-3)*o,i*o));return"complex64"===n&&(r=jr(r),s=jr(s)),["["+r.map((e,t)=>Ur(e,a[t],n)).join(", ")+", ..., "+s.map((e,t)=>Ur(e,a[i-3+t],n)).join(", ")+"]"]}return["["+("complex64"===n?jr(e):Array.from(e)).map((e,t)=>Ur(e,a[t],n)).join(", ")+"]"]}const l=t.slice(1),c=r.slice(1),d=r[0]*o,p=[];if(i>20){for(let t=0;t<3;t++){const r=t*d,s=r+d;p.push(...Hr(e.slice(r,s),l,n,c,a,!1))}p.push("...");for(let t=i-3;t0?p[0]+h:"");for(let m=1;m`Length of values '${e}' does not match the size inferred by the shape '${this.size}'.`)}if("complex64"===t)throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||v(t,this.size),this.strides=C(e)}set(e,...t){0===t.length&&(t=[0]),i(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);const n=this.locToIndex(t);this.values[n]=e}get(...e){0===e.length&&(e=[0]);let t=0;for(const r of e){if(r<0||r>=this.shape[t]){const t=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(t)}t++}let n=e[e.length-1];for(let r=0;rMr(e))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Kr().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();const e=Kr().readSync(this.dataId);if("string"===this.dtype)try{return e.map(e=>Mr(e))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();const e=await Kr().read(this.dataId);return"string"===this.dtype?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(this.kerasMask&&this.kerasMask.dispose(),Kr().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Xr.print(this,e)}clone(){return this.throwIfDisposed(),Xr.clone(this)}toString(e=!1){return zr(this.dataSync(),this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Xr.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Kr().makeVariable(this,e,t,n)}}function Qr(){return G("Tensor",()=>Yr)}Object.defineProperty(Yr,Symbol.hasInstance,{value:e=>!!e&&null!=e.data&&null!=e.dataSync&&null!=e.throwIfDisposed}),Qr();class Zr extends Yr{constructor(e,t,n,r){super(e.shape,e.dtype,e.dataId,r),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!d(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Kr().disposeTensor(this),this.dataId=e.dataId,Kr().incRef(this,null)}dispose(){Kr().disposeVariable(this),this.isDisposedInternal=!0}}var Jr,ea,ta,na,ra,aa,sa,oa,ia,ua;Object.defineProperty(Zr,Symbol.hasInstance,{value:e=>e instanceof Yr&&null!=e.assign&&e.assign instanceof Function}),(ea=Jr||(Jr={})).R0="R0",ea.R1="R1",ea.R2="R2",ea.R3="R3",ea.R4="R4",ea.R5="R5",ea.R6="R6",(na=ta||(ta={})).float32="float32",na.int32="int32",na.bool="int32",na.complex64="complex64",(aa=ra||(ra={})).float32="float32",aa.int32="int32",aa.bool="bool",aa.complex64="complex64",(oa=sa||(sa={})).float32="float32",oa.int32="float32",oa.bool="float32",oa.complex64="complex64",(ua=ia||(ia={})).float32="complex64",ua.int32="complex64",ua.bool="complex64",ua.complex64="complex64";const la={float32:sa,int32:ta,bool:ra,complex64:ia};function ca(e,t){if("string"===e||"string"===t){if("string"===e&&"string"===t)return"string";throw new Error(`Can not upcast ${e} with ${t}`)}return la[e][t]}function da(e){return ca(e,"int32")}function pa(e){return null!=e&&"object"===typeof e&&"texture"in e&&e.texture instanceof WebGLTexture}function ha(e){return"undefined"!==typeof GPUBuffer&&null!=e&&"object"===typeof e&&"buffer"in e&&e.buffer instanceof GPUBuffer}function fa(e,t){if(e.dtype===t.dtype)return[e,t];const n=ca(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function ma(e){const t=[];return ga(e,t,new Set),t}function ga(e,t,n){if(null==e)return;if(e instanceof Yr)return void t.push(e);if(r=e,!Array.isArray(r)&&"object"!==typeof r)return;var r;const a=e;for(const s in a){const e=a[s];n.has(e)||(n.add(e),ga(e,t,n))}}function ya(e){return null!=e.kernelName}class ba{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(e=>e.name)))}}}dispose(){for(const e in this.registeredVariables)this.registeredVariables[e].dispose()}}class xa{constructor(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new ba}async ready(){if(null!=this.pendingBackendInit)return this.pendingBackendInit.then(()=>{});if(null!=this.backendInstance)return;const e=this.getSortedBackends();for(let t=0;t{null!=e.setupFunc&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){ur(e).forEach(t=>{null!=t.disposeFunc&&t.disposeFunc(this.registry[e])})}initializeBackend(e){const t=this.registryFactory[e];if(null==t)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{const r=t.factory();if(!r||r instanceof n||"function"!==typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};{const t=++this.pendingBackendInitId,n=r.then(n=>!(t(tthis.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){const e=this.getSortedBackends();for(let t=0;tthis.startScope(r),()=>this.endScope(n),()=>(n=t(),n instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n))}scopedRun(e,t,n){e();try{const e=n();return t(),e}catch(r){throw t(),r}}nextTensorId(){return xa.nextTensorId++}nextVariableId(){return xa.nextVariableId++}clone(e){const t=wa.runKernel(ot,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],e=>({x:()=>{const t={x:e},n={dtype:"float32"};return wa.runKernel(fe,t,n)}}),[],{}),t}runKernel(e,t,n){null==this.backendName&&this.backend;if(!(null!=or(e,this.backendName)))throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){const r=this.backend.numDataIds();let a=0;n.forEach(e=>{a+="complex64"===e.dtype?3:1});const s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-a-s;if(o>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${o} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[];const r=this.isTapeOn(),a=this.state.numBytes,s=this.state.numTensors;let o,u;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;const l=ya(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(ya(e)){const{kernelName:t,inputs:a,attrs:s}=e;null==this.backendName&&this.backend;const l=or(t,this.backendName);i(null!=l,()=>`Cannot find registered kernel '${t}' for backend '${this.backendName}'`),o=()=>{const e=this.backend.numDataIds();u=l.kernelFunc({inputs:a,attrs:s,backend:this.backend});const o=Array.isArray(u)?u:[u];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(t,e,o);const i=o.map(e=>null!=e.rank?e:this.makeTensorFromTensorInfo(e));if(r){const e=this.getTensorsForGradient(t,a,i);n=this.saveTensorsForBackwardMode(e)}return i}}else{const{forwardFunc:t}=e,a=e=>{r&&(n=e.map(e=>this.keep(this.clone(e))))};o=()=>{const e=this.backend.numDataIds();u=this.tidy(()=>t(this.backend,a));const n=Array.isArray(u)?u:[u];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,e,n),n}}const{inputs:c,attrs:d}=e,p=ya(e)?null:e.backwardsFunc;let h;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{this.ENV.getBool("DEBUG")||this.state.profiling?(h=this.profiler.profileKernel(l,c,()=>o()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(h),t=h.outputs):t=o()}),r&&this.addTapeNode(l,c,t,p,n,d),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-a,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-s,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(e=>null!=c[e]?c[e].shape:null),outputShapes:t.map(e=>e.shape),kernelTimeMs:h.timeMs,extraInfo:h.extraInfo}),Array.isArray(u)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(e=>this.keep(this.clone(e)))}getTensorsForGradient(e,t,n){const r=ir(e);if(null!=r){const e=r.inputsToSave||[],a=r.outputsToSave||[];let s;r.saveAllInputs?(i(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),s=Object.keys(t).map(e=>t[e])):s=e.map(e=>t[e]);const o=n.filter((e,t)=>a[t]);return s.concat(o)}return[]}makeTensor(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;let a=e;"string"===n&&I(e[0])&&(a=e.map(e=>Dr(e)));const s=r.write(a,t,n),o=new Yr(t,n,s,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){const e=this.state.tensorInfo.get(s),t=function(e){if(null==e)return 0;let t=0;return e.forEach(e=>t+=e.length),t}(a);this.state.numBytes+=t-e.bytes,e.bytes=t}return o}makeTensorFromDataId(e,t,n,r){const a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)}makeTensorFromTensorInfo(e,t){const{dataId:n,shape:r,dtype:a}=e,s=new Yr(r,a,n,this.nextTensorId());return this.trackTensor(s,t),s}makeVariable(e,t=!0,n,r){n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));const a=new Zr(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error(`Variable with name ${a.name} was already registered`);return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a}trackTensor(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;let n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*k(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof Zr||this.track(e)}incRef(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}removeDataId(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;const t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){const t=e.size*k(e.dtype);this.state.numBytes-=t}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}disposeVariables(){for(const e in this.state.registeredVariables){const t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]}memory(){const e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;const t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(e=>e.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(const r of this.state.activeProfile.kernels)r.kernelTimeMs=await r.kernelTimeMs,r.extraInfo=await r.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&0===this.state.kernelDepth}addTapeNode(e,t,n,r,a,s){const o={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},i=ir(e);null!=i&&(r=i.gradFunc),null!=r&&(o.gradient=e=>(e=e.map((e,t)=>{if(null==e){const e=n[t],r=_(e.size,e.dtype);return this.makeTensor(r,e.shape,e.dtype)}return e}),r(e.length>1?e:e[0],a,s))),this.state.activeTape.push(o)}keep(e){return e.kept=!0,e}startTape(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(e){const t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}endScope(e){const t=ma(e),n=new Set(t.map(e=>e.id));for(let a=0;a{e.kept||e.scopeId!==r.id||this.track(e)})}gradients(e,t,n,r=!1){if(i(t.length>0,()=>"gradients() received an empty list of xs."),null!=n&&"float32"!==n.dtype)throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);const a=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));i(a instanceof Yr,()=>"The result y returned by f() must be a tensor.");const s=function(e,t,n){const r={},a={};for(let u=0;ur[e.id]=!0),i=!0,a[n.id]=!0;break}if(i)break}}const s={};s[n.id]=!0;const o={};for(let u=e.length-1;u>=0;u--){const t=e[u],n=t.inputs;for(let e=0;e0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{const e={};e[a.id]=n??function(e){const t=R(c(e),"float32");return wa.makeTensor(t,e,"float32")}(a.shape),function(e,t,n,r){for(let a=t.length-1;a>=0;a--){const s=t[a],o=[];if(s.outputs.forEach(t=>{const n=e[t.id];null!=n?o.push(n):o.push(null)}),null==s.gradient)throw new Error(`Cannot compute gradient: gradient function not found for ${s.kernelName}.`);const i=s.gradient(o);for(const t in s.inputs){if(!(t in i))throw new Error(`Cannot backprop through input ${t}. Available gradients found: ${Object.keys(i)}.`);const a=n(()=>i[t]());if("float32"!==a.dtype)throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input ${t} must have 'float32' dtype, but has '${a.dtype}'`);const o=s.inputs[t];if(!d(a.shape,o.shape))throw new Error(`Error in gradient for op ${s.kernelName}. The gradient of input '${t}' has shape '${a.shape}', which does not match the shape of the input '${o.shape}'`);if(null==e[o.id])e[o.id]=a;else{const t=e[o.id];e[o.id]=r(t,a),t.dispose()}}}}(e,s,e=>this.tidy(e),ka);const r=t.map(t=>e[t.id]);return 0===this.state.gradientDepth&&(this.state.activeTape.forEach(e=>{for(const t of e.saved)t.dispose()}),this.state.activeTape=null),{value:a,grads:r}})}customGrad(e){return i(S(e),()=>"The f passed in customGrad(f) must be a function."),(...t)=>{let n;i(t.every(e=>e instanceof Yr),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");const r={};t.forEach((e,t)=>{r[t]=e});return this.runKernelFunc({forwardFunc:(r,a)=>(n=e(...t,a),i(n.value instanceof Yr,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),i(S(n.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n.value),backwardsFunc:(e,r)=>{const 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Got strides ${n} and dilations '1'`);let o=s,u=!1;3===s.rank&&(u=!0,o=vo(s,[1,s.shape[0],s.shape[1],s.shape[2]])),i(4===o.rank,()=>`Error in avgPool: x must be rank 4 but got rank ${o.rank}.`),xo("avgPool",r,a);const l={x:o},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a};let d=wa.runKernel(se,l,c);return d=Ls(d,s.dtype),u?vo(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});const ko=Aa({avgPool3d_:function(e,t,n,r,a,s="NDHWC"){const o=Ea(e,"x","avgPool3d","float32");let u=o,l=!1;4===o.rank&&(l=!0,u=vo(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),i(5===u.rank,()=>`Error in avgPool3d: x must be rank 5 but got rank ${u.rank}.`),i("NDHWC"===s,()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),i("number"===typeof n&&n>0||Array.isArray(n)&&n[0]>0&&n[1]>0&&n[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${n}'`),xo("avgPool3d",r,a);const c={x:u},d={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:s};let p=wa.runKernel(ie,c,d);return p=Ls(p,u.dtype),l?vo(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}});const Io=Aa({concat_:function(e,t=0){i(e.length>=1,()=>"Pass at least one tensor to concat");const n=Ra(e,"tensors","concat","string_or_numeric");if("complex64"===n[0].dtype&&n.forEach(e=>{if("complex64"!==e.dtype)throw new Error(`Cannot concatenate complex64 tensors with a tensor\n with dtype ${e.dtype}. `)}),1===n.length)return Bs(n[0]);const r=n,a={axis:t};return wa.runKernel(xe,r,a)}});const No=Aa({matMul_:function(e,t,n=!1,r=!1){let a=Ea(e,"a","matMul"),s=Ea(t,"b","matMul");[a,s]=fa(a,s);const o={a,b:s},i={transposeA:n,transposeB:r};return wa.runKernel(le,o,i)}});const So=Aa({sigmoid_:function(e){const t={x:Ea(e,"x","sigmoid","float32")};return wa.runKernel(wn,t)}});const To=Aa({slice_:function(e,t,n){const r=Ea(e,"x","slice","string_or_numeric");if(0===r.rank)throw new Error("Slicing scalar is not possible");const a={x:r},s={begin:t,size:n};return wa.runKernel(yn,a,s)}});const Co=Aa({tanh_:function(e){const t={x:Ea(e,"x","tanh","float32")};return wa.runKernel(zn,t)}});const $o=Aa({basicLSTMCell_:function(e,t,n,r,a,s){const o=Ea(e,"forgetBias","basicLSTMCell"),i=Ea(t,"lstmKernel","basicLSTMCell"),u=Ea(n,"lstmBias","basicLSTMCell"),l=Ea(r,"data","basicLSTMCell"),c=Ea(a,"c","basicLSTMCell"),d=Ea(s,"h","basicLSTMCell"),p=Io([l,d],1),h=No(p,i),f=Ws(h,u),m=f.shape[0],g=f.shape[1]/4,y=[m,g],b=To(f,[0,0],y),x=To(f,[0,g],y),v=To(f,[0,2*g],y),w=To(f,[0,3*g],y),k=Ws(Gs(So(b),Co(x)),Gs(c,So(Ws(o,v))));return[k,Gs(Co(k),So(w))]}});const Eo=Aa({batchToSpaceND_:function(e,t,n){const r=Ea(e,"x","batchToSpaceND"),a=t.reduce((e,t)=>e*t);i(r.rank>=1+t.length,()=>`input rank is ${r.rank} but should be > than blockShape.length ${t.length}`),i(n.length===t.length,()=>`crops.length is ${n.length} but should be equal to blockShape.length ${t.length}`),i(r.shape[0]%a===0,()=>`input tensor batch is ${r.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${a}`);const s={x:r},o={blockShape:t,crops:n};return wa.runKernel(ce,s,o)}});const Ro=Aa({batchNorm_:function(e,t,n,r,a,s){null==s&&(s=.001);const o=Ea(e,"x","batchNorm"),u=Ea(t,"mean","batchNorm"),l=Ea(n,"variance","batchNorm");let c,d;null!=a&&(c=Ea(a,"scale","batchNorm")),null!=r&&(d=Ea(r,"offset","batchNorm")),i(u.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),i(null==d||u.rank===d.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),i(null==c||u.rank===c.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");const p={x:function(e){let t;return t=0===e.rank||1===e.rank?vo(e,[1,1,1,e.size]):2===e.rank?vo(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?vo(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e,t}(o),scale:c,offset:d,mean:u,variance:l},h={varianceEpsilon:s},f=wa.runKernel(tt,p,h);return vo(f,o.shape)}});const _o=Aa({batchNorm2d_:function(e,t,n,r,a,s){const o=Ea(e,"x","batchNorm"),u=Ea(t,"mean","batchNorm"),l=Ea(n,"variance","batchNorm");let c,d;return null!=a&&(c=Ea(a,"scale","batchNorm")),null!=r&&(d=Ea(r,"offset","batchNorm")),i(2===o.rank,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${o.rank}.`),i(2===u.rank||1===u.rank,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${u.rank}.`),i(2===l.rank||1===l.rank,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${l.rank}.`),null!=c&&i(2===c.rank||1===c.rank,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${c.rank}.`),null!=d&&i(2===d.rank||1===d.rank,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${d.rank}.`),Ro(o,u,l,d,c,s)}});const Ao=Aa({batchNorm3d_:function(e,t,n,r,a,s){const o=Ea(e,"x","batchNorm"),u=Ea(t,"mean","batchNorm"),l=Ea(n,"variance","batchNorm");let c,d;return null!=a&&(c=Ea(a,"scale","batchNorm")),null!=r&&(d=Ea(r,"offset","batchNorm")),i(3===o.rank,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${o.rank}.`),i(3===u.rank||1===u.rank,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${u.rank}.`),i(3===l.rank||1===l.rank,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${l.rank}.`),null!=c&&i(3===c.rank||1===c.rank,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${c.rank}.`),null!=d&&i(3===d.rank||1===d.rank,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${d.rank}.`),Ro(o,u,l,d,c,s)}});const Oo=Aa({batchNorm4d_:function(e,t,n,r,a,s){const o=Ea(e,"x","batchNorm"),u=Ea(t,"mean","batchNorm"),l=Ea(n,"variance","batchNorm");let c,d;return null!=a&&(c=Ea(a,"scale","batchNorm")),null!=r&&(d=Ea(r,"offset","batchNorm")),i(4===o.rank,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${o.rank}.`),i(4===u.rank||1===u.rank,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${u.rank}.`),i(4===l.rank||1===l.rank,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${l.rank}.`),null!=c&&i(4===c.rank||1===c.rank,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${c.rank}.`),null!=d&&i(4===d.rank||1===d.rank,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${d.rank}.`),Ro(o,u,l,d,c,s)}});const Fo=Aa({bincount_:function(e,t,n){const r=Ea(e,"x","bincount"),a=Ea(t,"weights","bincount");i("int32"===r.dtype,()=>`Error in bincount: input dtype must be int32, but got ${r.dtype}`),i(n>=0,()=>`size must be non-negative, but got ${n}.`),i(a.size===r.size||0===a.size,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${r.shape}, weights shape: ${a.shape}.`);const s={x:r,weights:a},o={size:n};return wa.runKernel(de,s,o)}});const Do=Aa({bitwiseAnd_:function(e,t){const n=Ea(e,"x","bitwiseAnd"),r=Ea(t,"y","bitwiseAnd");if(!d(n.shape,r.shape))throw new Error(`BitwiseAnd: Tensors must have the same shape. x: ${n.shape}, y: ${r.shape}`);if("int32"!==n.dtype||"int32"!==r.dtype)throw new Error(`BitwiseAnd: Only supports 'int32' values in tensor, found type of x: ${n.dtype} and type of y: ${r.dtype}`);const a={a:n,b:r};return wa.runKernel(pe,a)}});const Mo=Aa({broadcastArgs_:function(e,t){const n=Ea(e,"s0","broadcastArgs","int32"),r=Ea(t,"s1","broadcastArgs","int32");if(1!==n.rank)throw new Error(`broadcastArgs(): first input must be a vector (rank=1). Has rank ${n.rank}`);if(1!==r.rank)throw new Error(`broadcastArgs(): second input must be a vector (rank=1). Has rank ${r.rank}`);const a={s0:n,s1:r};return wa.runKernel(he,a)}});const Po=Aa({broadcastTo_:function(e,t){let n=Ea(e,"broadcastTo","x");const r=n.shape;if(O(t),t.lengthn.rank){const e=n.shape.slice();for(;e.length=0;u--)if(a[u]===t[u])s[u]=1;else if(1!==n.shape[u])throw new Error(`broadcastTo(): [${r}] cannot be broadcast to [${t}].`);if(0===s.map((e,t)=>e>1?t:-1).filter(e=>e>=0).length)return Bs(n);const o={x:n},i={reps:s};return wa.runKernel(Un,o,i)}});const Lo=Aa({ceil_:function(e){const t={x:Ea(e,"x","ceil","float32")};return wa.runKernel(me,t)}});function Bo(e,t,n){O(e);const r={shape:e,value:t,dtype:n=n||N(t)};return wa.runKernel(Qe,{},r)}const Vo=Aa({clipByValue_:function(e,t,n){const r=Ea(e,"x","clipByValue");if(i(t<=n,()=>`Error in clip: min (${t}) must be less than or equal to max (${n}).`),t===n)return Bo(r.shape,t,r.dtype);const a={x:r},s={clipValueMin:t,clipValueMax:n};return wa.runKernel(ge,a,s)}});const Wo=Aa({concat1d_:function(e){return Io(e,0)}});const zo=Aa({concat2d_:function(e,t){return Io(e,t)}});const Uo=Aa({concat3d_:function(e,t){return Io(e,t)}});const Go=Aa({concat4d_:function(e,t){return Io(e,t)}});const Ho=Aa({conv2d_:function(e,t,n,r,a="NHWC",s=[1,1],o){const u=Ea(e,"x","conv2d","float32"),l=Ea(t,"filter","conv2d","float32");let c=u,d=!1;3===u.rank&&(d=!0,c=vo(u,[1,u.shape[0],u.shape[1],u.shape[2]])),i(4===c.rank,()=>`Error in conv2d: input must be rank 4, but got rank ${c.rank}.`),i(4===l.rank,()=>`Error in conv2d: filter must be rank 4, but got rank ${l.rank}.`),xo("conv2d",r,o);const p="NHWC"===a?c.shape[3]:c.shape[1];i(p===l.shape[2],()=>`Error in conv2d: depth of input (${p}) must match input depth for filter ${l.shape[2]}.`),i(go(n,s),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),i(yo(s),()=>"Error in conv2D: Dilated rates should be larger than 0."),i(yo(n),()=>"Error in conv2D: Strides should be larger than 0.");const h={x:c,filter:l},f={strides:n,pad:r,dataFormat:a,dilations:s,dimRoundingMode:o},m=wa.runKernel(ve,h,f);return d?vo(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});const jo=Aa({conv1d_:function(e,t,n,r,a="NWC",s=1,o){const u=Ea(e,"x","conv1d"),l=Ea(t,"filter","conv1d");let c=u,d=!1;2===u.rank&&(d=!0,c=vo(u,[1,u.shape[0],u.shape[1]])),i(3===c.rank,()=>`Error in conv1d: input must be rank 3, but got rank ${c.rank}.`),i(3===l.rank,()=>`Error in conv1d: filter must be rank 3, but got rank ${l.rank}.`),xo("conv1d",r,o),i(c.shape[2]===l.shape[1],()=>`Error in conv1d: depth of input (${c.shape[2]}) must match input depth for filter ${l.shape[1]}.`),i(go(n,s),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${n} and dilation '${s}'`),i(yo(s),()=>"Error in conv1D: Dilated rates should be larger than 0."),i(yo(n),()=>"Error in conv1D: Stride should be larger than 0."),i("NWC"===a,()=>`Error in conv1d: got dataFormat of ${a} but only NWC is currently supported.`);const p=vo(l,[1,l.shape[0],l.shape[1],l.shape[2]]),h=vo(c,[c.shape[0],1,c.shape[1],c.shape[2]]),f=Ho(h,p,[1,n],r,"NHWC",[1,s],o);return vo(f,d?[f.shape[2],f.shape[3]]:[f.shape[0],f.shape[2],f.shape[3]])}});const qo=Aa({conv2DBackpropInput_:function(e,t,n,r,a,s="NHWC",o){i(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let u=e,l=t,c=!1;3===t.rank&&(c=!0,l=vo(t,[1,t.shape[0],t.shape[1],t.shape[2]]),u=[1,e[0],e[1],e[2]]),i(4===u.length,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${u.length}.`),i(4===l.rank,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${l.rank}`),i(4===n.rank,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${n.rank}`);const d="NHWC"===s?u[3]:u[1],p="NHWC"===s?l.shape[3]:l.shape[1];i(d===n.shape[2],()=>`Error in conv2dDerInput: depth of input (${d}) must match input depth for filter ${n.shape[2]}.`),i(p===n.shape[3],()=>`Error in conv2dDerInput: depth of output (${p}) must match output depth for filter ${n.shape[3]}.`),xo("conv2dDerInput",a,o);const h={dy:l,filter:n},f={strides:r,pad:a,dataFormat:s,dimRoundingMode:o,inputShape:u},m=wa.runKernel(ke,h,f);return c?vo(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});const Ko=Aa({conv2dTranspose_:function(e,t,n,r,a,s){const o=Ea(e,"x","conv2dTranspose"),i=Ea(t,"filter","conv2dTranspose");return qo(n,o,i,r,a,"NHWC",s)}});const Xo=Aa({conv3d_:function(e,t,n,r,a="NDHWC",s=[1,1,1]){const o=Ea(e,"x","conv3d"),u=Ea(t,"filter","conv3d");let l=o,c=!1;4===o.rank&&(c=!0,l=vo(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),i(5===l.rank,()=>`Error in conv3d: input must be rank 5, but got rank ${l.rank}.`),i(5===u.rank,()=>`Error in conv3d: filter must be rank 5, but got rank ${u.rank}.`),i(l.shape[4]===u.shape[3],()=>`Error in conv3d: depth of input (${l.shape[4]}) must match input depth for filter ${u.shape[3]}.`),i(go(n,s),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${n} and dilations '${s}'`),i("NDHWC"===a,()=>`Error in conv3d: got dataFormat of ${a} but only NDHWC is currently supported.`),i(yo(s),()=>"Error in conv3D: Dilated rates should be larger than 0."),i(yo(n),()=>"Error in conv3D: Strides should be larger than 0.");const d={x:l,filter:u},p={strides:n,pad:r,dataFormat:a,dilations:s},h=wa.runKernel(Ie,d,p);return c?vo(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});const Yo=Aa({conv3DBackpropInput_:function(e,t,n,r,a){i(e.length===t.rank,()=>`Length of inShape (${e.length}) and rank of dy (${t.rank}) must match`);let s=e,o=t,u=!1;4===t.rank&&(u=!0,o=vo(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),s=[1,e[0],e[1],e[2],e[3]]);const l=s[4],c=o.shape[4];i(5===s.length,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${s.length}.`),i(5===o.rank,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${o.rank}`),i(5===n.rank,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${n.rank}`),i(l===n.shape[3],()=>`Error in conv3dDerInput: depth of input (${l}) must match input depth for filter ${n.shape[3]}.`),i(c===n.shape[4],()=>`Error in conv3dDerInput: depth of output (${c}) must match output depth for filter ${n.shape[4]}.`);const d={dy:o,filter:n},p={pad:a,strides:r,inputShape:s},h=wa.runKernel(Se,d,p);return u?vo(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});const Qo=Aa({conv3dTranspose_:function(e,t,n,r,a){const s=Ea(e,"x","conv3dTranspose"),o=Ea(t,"filter","conv3dTranspose");return Yo(n,s,o,r,a)}});const Zo=Aa({cos_:function(e){const t={x:Ea(e,"x","cos","float32")};return wa.runKernel(Te,t)}});const Jo=Aa({cosh_:function(e){const t={x:Ea(e,"x","cosh","float32")};return wa.runKernel(Ce,t)}});const ei=Aa({cumprod_:function(e,t=0,n=!1,r=!1){const a={x:Ea(e,"x","cumprod")},s={axis:t,exclusive:n,reverse:r};return wa.runKernel($e,a,s)}});const ti=Aa({cumsum_:function(e,t=0,n=!1,r=!1){const a={x:Ea(e,"x","cumsum")},s={axis:t,exclusive:n,reverse:r};return wa.runKernel(Ee,a,s)}});const ni=Aa({denseBincount_:function(e,t,n,r=!1){const a=Ea(e,"x","denseBincount"),s=Ea(t,"weights","denseBincount");i("int32"===a.dtype,()=>`Error in denseBincount: input dtype must be int32, but got ${a.dtype}`),i(a.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${a.rank}.`),i(n>=0,()=>`size must be non-negative, but got ${n}.`),i(s.size===a.size||0===s.size,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${a.shape}, weights shape: ${s.shape}.`);const o={x:a,weights:s},u={size:n,binaryOutput:r};return wa.runKernel(_e,o,u)}});const ri=Aa({depthToSpace_:function(e,t,n="NHWC"){const r=Ea(e,"x","depthToSpace","float32"),a="NHWC"===n?r.shape[1]:r.shape[2],s="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];i(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),i(a*t>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${a} and ${t} for depthToSpace with input shape\n ${r.shape}`),i(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying\n ${s} and ${t} for depthToSpace with input shape\n ${r.shape}`),i(o%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${o} for depthToSpace with input shape ${r.shape}`);const u={x:r},l={blockSize:t,dataFormat:n};return wa.runKernel(Ae,u,l)}});const ai=Aa({depthwiseConv2d_:function(e,t,n,r,a="NHWC",s=[1,1],o){const u=Ea(e,"x","depthwiseConv2d","float32"),l=Ea(t,"filter","depthwiseConv2d","float32");let c=u,d=!1;3===u.rank&&(d=!0,c=vo(u,[1,u.shape[0],u.shape[1],u.shape[2]])),i(4===c.rank,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${c.rank}.`),i(4===l.rank,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${l.rank}.`);const p="NHWC"===a?c.shape[3]:c.shape[1];i(p===l.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${p}) must match the inChannels dimension in filter ${l.shape[2]}.`),xo("depthwiseConv2d",r,o);const h={x:c,filter:l},f={strides:n,pad:r,dataFormat:a,dilations:s,dimRoundingMode:o},m=wa.runKernel(Oe,h,f);return d?vo(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});const si=Aa({diag_:function(e){const t={x:Ea(e,"x","diag")};return wa.runKernel(Me,t)}});const oi=Aa({dilation2d_:function(e,t,n,r,a=[1,1],s="NHWC"){const o=Ea(e,"x","dilation2d"),u=Ea(t,"filter","dilation2d");i(3===o.rank||4===o.rank,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${o.rank}.`),i(3===u.rank,()=>`Error in dilation2d: filter must be rank 3, but got rank ${u.rank}.`),i("NHWC"===s,()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let l=o,c=!1;3===o.rank&&(l=vo(o,[1,o.shape[0],o.shape[1],o.shape[2]]),c=!0),i(l.shape[3]===u.shape[2],()=>`Error in dilation2d: input and filter must have the same depth: ${l.shape[3]} vs ${u.shape[2]}`);const d={x:l,filter:u},p={strides:n,pad:r,dilations:a},h=wa.runKernel(Pe,d,p);return c?vo(h,[h.shape[1],h.shape[2],h.shape[3]]):h}});function ii(e,t){const n=e.length,r=[];for(let a=0;a1&&1===o&&r.unshift(s)}return r}function ui(e,t){const n=[];for(let r=0;r1)&&n.unshift(s)}return n}function li(e,t){const n=Math.max(e.length,t.length),r=new Array(n);for(let a=0;a`Error in dot: inputs must all be rank 1 or 2, but got ranks ${n.rank} and ${r.rank}.`);const a=1===n.rank?n.size:n.shape[1],s=1===r.rank?r.size:r.shape[0];if(i(a===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${a} and ${s}.`),1===n.rank&&1===r.rank){const e=vo(n,[1,-1]),t=vo(r,[-1,1]),a=No(e,t);return vo(a,[])}if(1===n.rank&&2===r.rank){const e=vo(n,[1,-1]),t=vo(r,[r.shape[0],r.shape[1]]),a=No(e,t);return vo(a,[a.size])}if(2===n.rank&&1===r.rank){const e=vo(r,[-1,1]),t=No(n,e);return vo(t,[t.size])}{const e=vo(r,[r.shape[0],r.shape[1]]);return No(n,e)}}});const mi=Aa({einsum_:function(e,...t){const 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Yi(e,r);if("sigmoid"===t)return So(e);throw new Error(`Unknown fused activation ${t}.`)}const Pc=(e,t)=>!(e>0)||"linear"===t;const Lc=Aa({fusedConv2d_:function({x:e,filter:t,strides:n,pad:r,dataFormat:a="NHWC",dilations:s=[1,1],dimRoundingMode:o,bias:u,activation:l="linear",preluActivationWeights:c,leakyreluAlpha:d}){if(l=l||"linear",!1===Pc(wa.state.gradientDepth,l)){i("NHWC"===a,()=>`Error in fused conv2d: got dataFormat of ${a} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let p=Ho(e,t,n,r,a,s,o);return null!=u&&(p=Ws(p,u)),Mc(p,l,c,d)}const p=Ea(e,"x","conv2d","float32"),h=Ea(t,"filter","conv2d","float32");let f=p,m=!1;3===p.rank&&(m=!0,f=vo(p,[1,p.shape[0],p.shape[1],p.shape[2]])),i(4===f.rank,()=>`Error in fused conv2d: input must be rank 4, but got rank ${f.rank}.`),i(4===h.rank,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${h.rank}.`),xo("fused conv2d",r,o);const 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p=n?l.shape[l.rank-2]:l.shape[l.rank-1],h=r?d.shape[d.rank-1]:d.shape[d.rank-2],f=n?l.shape[l.rank-1]:l.shape[l.rank-2],m=r?d.shape[d.rank-2]:d.shape[d.rank-1],g=l.shape.slice(0,-2),y=d.shape.slice(0,-2),b=c(g),x=c(y);i(p===h,()=>`Error in fused matMul: inner shapes (${p}) and (${h}) of Tensors with shapes ${l.shape} and ${d.shape} and transposeA=${n} and transposeB=${r} must match.`);const v=li(l.shape.slice(0,-2),d.shape.slice(0,-2)).concat([f,m]),w=vo(l,n?[b,p,f]:[b,f,p]),k=vo(d,r?[x,m,h]:[x,h,m]);let I,N;null!=a&&(I=Ea(a,"bias","fused matMul"),[I]=fa(I,l),li(v,I.shape)),null!=o&&(N=Ea(o,"prelu weights","fused matMul"));const S=(e,t)=>{const[o,i,u,l]=t,c=Fc(vo(e,u.shape),u,s);let d,p;if(n||r?!n&&r?(d=No(c,i,!1,!1),p=No(c,o,!0,!1)):n&&!r?(d=No(i,c,!1,!0),p=No(o,c,!1,!1)):(d=No(i,c,!0,!0),p=No(c,o,!0,!0)):(d=No(c,i,!1,!0),p=No(o,c,!0,!1)),null!=a){return[d,p,Dc(l,c)]}return[d,p]},T={a:w,b:k,bias:I,preluActivationWeights:N},C={transposeA:n,transposeB:r,activation:s,leakyreluAlpha:u};if(null==a){return au((e,t,n)=>{const r=wa.runKernel(er,T,C);return n([e,t,r]),{value:vo(r,v),gradFunc:S}})(w,k)}return au((e,t,n,r)=>{const a=wa.runKernel(er,T,C);return r([e,t,a,n]),{value:vo(a,v),gradFunc:S}})(w,k,I)}}),Uc=Object.freeze(Object.defineProperty({__proto__:null,conv2d:Lc,depthwiseConv2d:Wc,matMul:zc},Symbol.toStringTag,{value:"Module"}));const Gc=Aa({hammingWindow_:function(e){return _c(e,.54,.46)}});const Hc=Aa({hannWindow_:function(e){return _c(e,.5,.5)}});const jc=Aa({frame_:function(e,t,n,r=!1,a=0){let s=0;const o=[];for(;s+t<=e.size;)o.push(To(e,s,t)),s+=n;if(r)for(;s`Error in cropAndResize: image must be rank 4,but got rank 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images must be at least rank 2, but got rank ${t.rank}.`),i(1===r,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${r}.`);const a=new Array(t.rank);return a.fill(1,0,n),a[n]=3,Vi(t,a)}});const Qc=Aa({rgbToGrayscale_:function(e){const t=Ea(e,"image","RGBToGrayscale"),n=t.rank-1,r=t.shape[n];i(t.rank>=2,()=>`Error in RGBToGrayscale: images must be at least rank 2, but got rank ${t.rank}.`),i(3===r,()=>`Error in RGBToGrayscale: last dimension of an RGB image should be size 3, but got size ${r}.`);const a=t.dtype,s=Ls(t,"float32"),o=ac([.2989,.587,.114]);let u;switch(t.rank){case 2:u=mi("ij,j->i",s,o);break;case 3:u=mi("ijk,k->ij",s,o);break;case 4:u=mi("ijkl,l->ijk",s,o);break;case 5:u=mi("ijklm,m->ijkl",s,o);break;case 6:u=mi("ijklmn,n->ijklm",s,o);break;default:throw new Error("Not a valid tensor rank.")}return u=Li(u,-1),Ls(u,a)}});const Zc=Aa({rotateWithOffset_:function(e,t,n=0,r=.5){const a=Ea(e,"image","rotateWithOffset","float32");i(4===a.rank,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${a.rank}.`);const s={image:a},o={radians:t,fillValue:n,center:r};return wa.runKernel(Jn,s,o)}});function Jc(e,t,n,r,a,s){null==r&&(r=.5),null==a&&(a=Number.NEGATIVE_INFINITY),null==s&&(s=0);const o=e.shape[0];return n=Math.min(n,o),i(0<=r&&r<=1,()=>`iouThreshold must be in [0, 1], but was '${r}'`),i(2===e.rank,()=>`boxes must be a 2D tensor, but was of rank '${e.rank}'`),i(4===e.shape[1],()=>`boxes must have 4 columns, but 2nd dimension was ${e.shape[1]}`),i(1===t.rank,()=>"scores must be a 1D tensor"),i(t.shape[0]===o,()=>`scores has incompatible shape with boxes. Expected ${o}, but was ${t.shape[0]}`),i(0<=s&&s<=1,()=>`softNmsSigma must be in [0, 1], but was '${s}'`),{maxOutputSize:n,iouThreshold:r,scoreThreshold:a,softNmsSigma:s}}const ed=Aa({nonMaxSuppression_:function(e,t,n,r=.5,a=Number.NEGATIVE_INFINITY){const s=Ea(e,"boxes","nonMaxSuppression","float32"),o=Ea(t,"scores","nonMaxSuppression","float32"),i=Jc(s,o,n,r,a),u={maxOutputSize:n=i.maxOutputSize,iouThreshold:r=i.iouThreshold,scoreThreshold:a=i.scoreThreshold};return wa.runKernel(Bt,{boxes:s,scores:o},u)}});function td(e,t,n){const r=function(e,t,n){return function(e,t,n){let r=0,a=e.length,s=0,o=!1;for(;r>>1);const i=n(t,e[s]);i>0?r=s+1:(a=s,o=!i)}return o?r:-r-1}(e,t,n||nd)}(e,t,n),a=r<0?-(r+1):r;e.splice(a,0,t)}function nd(e,t){return e>t?1:ea&&l.push({score:t[g],boxIndex:g,suppressBeginIndex:0});l.sort(ld);const c=s>0?-.5/s:0,d=[],p=[];for(;d.length0;){const t=l.pop(),{score:n,boxIndex:s,suppressBeginIndex:o}=t;if(n=o;--u){const n=id(e,s,d[u]);if(n>=r){i=!0;break}if(t.score=t.score*ud(r,c,n),t.score<=a)break}t.suppressBeginIndex=d.length,i||(t.score===n?(d.push(s),p.push(t.score)):t.score>a&&td(l,t,ld))}const h=d.length,f=n-h;i&&f>0&&(d.push(...new Array(f).fill(0)),p.push(...new Array(f).fill(0)));const m={selectedIndices:d};return o&&(m.selectedScores=p),u&&(m.validOutputs=h),m}function id(e,t,n){const r=e.subarray(4*t,4*t+4),a=e.subarray(4*n,4*n+4),s=Math.min(r[0],r[2]),o=Math.min(r[1],r[3]),i=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(a[0],a[2]),c=Math.min(a[1],a[3]),d=Math.max(a[0],a[2]),p=Math.max(a[1],a[3]),h=(i-s)*(u-o),f=(d-l)*(p-c);if(h<=0||f<=0)return 0;const m=Math.max(s,l),g=Math.max(o,c),y=Math.min(i,d),b=Math.min(u,p),x=Math.max(y-m,0)*Math.max(b-g,0);return x/(h+f-x)}function ud(e,t,n){const r=Math.exp(t*n*n);return n<=e?r:0}function ld(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}const cd=async function(e,t,n,r=.5,a=Number.NEGATIVE_INFINITY){const s=Ea(e,"boxes","nonMaxSuppressionAsync"),o=Ea(t,"scores","nonMaxSuppressionAsync"),i=Jc(s,o,n,r,a);n=i.maxOutputSize,r=i.iouThreshold,a=i.scoreThreshold;const u=await Promise.all([s.data(),o.data()]),l=u[0],c=u[1],{selectedIndices:d}=rd(l,c,n,r,a);return s!==e&&s.dispose(),o!==t&&o.dispose(),ac(d,"int32")};const dd=Aa({nonMaxSuppressionWithScore_:function(e,t,n,r=.5,a=Number.NEGATIVE_INFINITY,s=0){const o=Ea(e,"boxes","nonMaxSuppression"),i=Ea(t,"scores","nonMaxSuppression"),u=Jc(o,i,n,r,a,s),l={boxes:o,scores:i},c={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:a=u.scoreThreshold,softNmsSigma:s=u.softNmsSigma},d=wa.runKernel(Wt,l,c);return{selectedIndices:d[0],selectedScores:d[1]}}});const pd=async function(e,t,n,r=.5,a=Number.NEGATIVE_INFINITY,s=0){const o=Ea(e,"boxes","nonMaxSuppressionAsync"),i=Ea(t,"scores","nonMaxSuppressionAsync"),u=Jc(o,i,n,r,a,s);n=u.maxOutputSize,r=u.iouThreshold,a=u.scoreThreshold,s=u.softNmsSigma;const l=await 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o!==e&&o.dispose(),i!==t&&i.dispose(),{selectedIndices:ac(f,"int32"),validOutputs:Ri(m,"int32")}};const md=Aa({resizeBilinear_:function(e,t,n=!1,r=!1){const a=Ea(e,"images","resizeBilinear");i(3===a.rank||4===a.rank,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${a.rank}.`),i(2===t.length,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),i(!1===r||!1===n,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let s=a,o=!1;3===a.rank&&(o=!0,s=vo(a,[1,a.shape[0],a.shape[1],a.shape[2]]));const u={images:s},l={alignCorners:n,halfPixelCenters:r,size:t},c=wa.runKernel(sn,u,l);return o?vo(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});const gd=Aa({resizeNearestNeighbor_:function(e,t,n=!1,r=!1){const a=Ea(e,"images","resizeNearestNeighbor");i(3===a.rank||4===a.rank,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${a.rank}.`),i(2===t.length,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),i("float32"===a.dtype||"int32"===a.dtype,()=>"`images` must have `int32` or `float32` as dtype"),i(!1===r||!1===n,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let s=a,o=!1;3===a.rank&&(o=!0,s=vo(a,[1,a.shape[0],a.shape[1],a.shape[2]]));const u={images:s},l={alignCorners:n,halfPixelCenters:r,size:t},c=wa.runKernel(rn,u,l);return o?vo(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});const yd=Aa({threshold_:function(e,t="binary",n=!1,r=.5){const a=Ea(e,"image","threshold"),s=a.shape[0]*a.shape[1];let o,u,l,c,d=Gs(ac([r]),255);if(i(3===a.rank,()=>`Error in threshold: image must be rank 3,but got rank ${a.rank}.`),i(3===a.shape[2]||1===a.shape[2],()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${a.shape[2]}.`),i("int32"===a.dtype||"float32"===a.dtype,()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${a.dtype}.`),i("otsu"===t||"binary"===t,()=>`Method must be binary or otsu, but was ${t}`),3===a.shape[2]){[o,u,l]=Yl(a,[1,1,1],-1);const e=Gs(o,.2989),t=Gs(u,.587),n=Gs(l,.114);c=Ws(Ws(e,t),n)}else c=e;if("otsu"===t){d=function(e,t){let n,r,a,s,o,i,u=ac([-1]),l=ac([0]),c=ac([0]);for(let d=0;d`Error in transform: image must be rank 4,but got rank ${o.rank}.`),i(2===u.rank&&(u.shape[0]===o.shape[0]||1===u.shape[0])&&8===u.shape[1],()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),i(null==s||2===s.length,()=>`Error in transform: outputShape must be [height, width] or null, but got ${s}.`);const l={image:o,transforms:u},c={interpolation:n,fillMode:r,fillValue:a,outputShape:s};return wa.runKernel(Hn,l,c)}});const xd=Aa({bandPart_:function(e,t,n){const r=Ea(e,"a","bandPart");i(r.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${r.rank}.`);const a=r.shape,[s,o]=r.shape.slice(-2);let u,l;"number"===typeof t?(i(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),i(t<=s,()=>`bandPart(): numLower (${t}) must not be greater than the number of rows (${s}).`),u=Ea(t<0?s:t,"numLower","bandPart")):(i("int32"===t.dtype,()=>"bandPart(): numLower's dtype must be an int32."),u=di(Qi(t,0),s,Tu(t,s))),"number"===typeof n?(i(n%1===0,()=>`bandPart(): numUpper must be an integer, got ${n}.`),i(n<=o,()=>`bandPart(): numUpper (${n}) must not be greater than the number of columns (${o}).`),l=Ea(n<0?o:n,"numUpper","bandPart")):(i("int32"===n.dtype,()=>"bandPart(): numUpper's dtype must be an int32."),l=di(Qi(n,0),o,Tu(n,o)));const c=vo(Nl(0,s,1,"int32"),[-1,1]),d=Nl(0,o,1,"int32"),p=uu(c,d),h=du(Zi(p,u),Hi(p,su(l))),f=Iu([s,o],r.dtype);return vo(ec(bc(vo(r,[-1,s,o])).map(e=>di(h,e,f))),a)}});const vd=Aa({gramSchmidt_:function(e){let t;if(Array.isArray(e)){t=!1,i(null!=e&&e.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");const n=e[0].shape[0];for(let t=1;t`Gram-Schmidt: Non-unique lengths found in the input vectors: (${e[t].shape[0]} vs. ${n})`)}else t=!0,e=Yl(e,e.shape[0],0).map(e=>Jl(e,[0]));i(e.length<=e[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${e.length}) exceeds number of dimensions (${e[0].shape[0]}).`);const n=[],r=e;for(let a=0;a{let e=r[a];if(a>0)for(let t=0;t{i(2===e.shape.length,()=>`qr2d() requires a 2D Tensor, but got a ${e.shape.length}D Tensor.`);const n=e.shape[0],r=e.shape[1];let a=Wi(n),s=Bs(e);const o=sc([[1]],[1,1]);let u=Bs(o);const l=n>=r?r:n;for(let e=0;e{const t=To(s,[e,e],[n-e,1]),i=Di(t),l=To(s,[e,e],[1,1]),c=di(Gi(l,0),sc([[-1]]),sc([[1]])),d=uu(l,Gs(c,i)),p=Us(t,d);u=1===p.shape[0]?Bs(o):Io([o,To(p,[1,0],[p.shape[0]-1,p.shape[1]])],0);const h=su(Us(No(c,d),i)),f=To(s,[e,0],[n-e,r]),m=Gs(h,u),g=Nc(u);if(0===e)s=uu(f,No(m,No(g,f)));else{const t=uu(f,No(m,No(g,f)));s=Io([To(s,[0,0],[e,r]),t],0)}const y=Nc(m),b=To(a,[0,e],[n,a.shape[1]-e]);if(0===e)a=uu(b,No(No(b,u),y));else{const t=uu(b,No(No(b,u),y));a=Io([To(a,[0,0],[n,e]),t],1)}return[u,s,a]}),Va([t,i,l])}return!t&&n>r&&(a=To(a,[0,0],[n,r]),s=To(s,[0,0],[r,r])),[a,s]})}const kd=Aa({qr_:function(e,t=!1){if(i(e.rank>=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${e.rank}`),2===e.rank)return wd(e,t);{const n=e.shape.slice(0,e.shape.length-2).reduce((e,t)=>e*t),r=bc(vo(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),a=[],s=[];r.forEach(e=>{const[n,r]=wd(e,t);a.push(n),s.push(r)});return[vo(ec(a,0),e.shape),vo(ec(s,0),e.shape)]}}});var Id,Nd;(Nd=Id||(Id={}))[Nd.NONE=0]="NONE",Nd[Nd.MEAN=1]="MEAN",Nd[Nd.SUM=2]="SUM",Nd[Nd.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS";const Sd=Aa({computeWeightedLoss_:function(e,t,n=Id.SUM_BY_NONZERO_WEIGHTS){const r=Ea(e,"losses","computeWeightedLoss");let a=null;null!=t&&(a=Ea(t,"weights","computeWeightedLoss"));const s=null==a?r:Gs(r,a);if(n===Id.NONE)return s;if(n===Id.SUM)return Oi(s);if(n===Id.MEAN){if(null==a)return ku(s);{const e=r.size/a.size,t=Us(Oi(s),Oi(a));return e>1?Us(t,Ri(e)):t}}if(n===Id.SUM_BY_NONZERO_WEIGHTS){if(null==a)return Us(Oi(s),Ri(r.size));{const e=Gs(a,Nu(r.shape)),t=Ls(Oi(Au(e,Ri(0))),"float32");return Us(Oi(s),t)}}throw Error(`Unknown reduction: ${n}`)}});const Td=Aa({absoluteDifference_:function(e,t,n,r=Id.SUM_BY_NONZERO_WEIGHTS){const a=Ea(e,"labels","absoluteDifference"),s=Ea(t,"predictions","absoluteDifference");let o=null;null!=n&&(o=Ea(n,"weights","absoluteDifference")),u(a.shape,s.shape,"Error in absoluteDifference: ");const i=Hs(uu(a,s));return Sd(i,o,r)}});const Cd=Aa({cosineDistance_:function(e,t,n,r,a=Id.SUM_BY_NONZERO_WEIGHTS){const s=Ea(e,"labels","cosineDistance"),o=Ea(t,"predictions","cosineDistance");let i=null;null!=r&&(i=Ea(r,"weights","cosineDistance")),u(s.shape,o.shape,"Error in cosineDistance: ");const l=Ri(1),c=uu(l,Oi(Gs(s,o),n,!0));return Sd(c,i,a)}});const $d=Aa({hingeLoss_:function(e,t,n,r=Id.SUM_BY_NONZERO_WEIGHTS){let a=Ea(e,"labels","hingeLoss");const s=Ea(t,"predictions","hingeLoss");let o=null;null!=n&&(o=Ea(n,"weights","hingeLoss")),u(a.shape,s.shape,"Error in hingeLoss: ");const i=Ri(1);a=uu(Gs(Ri(2),a),i);const l=Cl(uu(i,Gs(a,s)));return Sd(l,o,r)}});const Ed=Aa({huberLoss_:function(e,t,n,r=1,a=Id.SUM_BY_NONZERO_WEIGHTS){const s=Ea(e,"labels","huberLoss"),o=Ea(t,"predictions","huberLoss");let i=null;null!=n&&(i=Ea(n,"weights","huberLoss")),u(s.shape,o.shape,"Error in huberLoss: ");const l=Ri(r),c=Hs(uu(o,s)),d=Tu(c,l),p=uu(c,d),h=Ws(Gs(Ri(.5),Ai(d)),Gs(l,p));return Sd(h,i,a)}});const Rd=Aa({logLoss_:function(e,t,n,r=1e-7,a=Id.SUM_BY_NONZERO_WEIGHTS){const s=Ea(e,"labels","logLoss"),o=Ea(t,"predictions","logLoss");let i=null;null!=n&&(i=Ea(n,"weights","logLoss")),u(s.shape,o.shape,"Error in logLoss: ");const l=Ri(1),c=Ri(r),d=su(Gs(s,tu(Ws(o,c)))),p=Gs(uu(l,s),tu(Ws(uu(l,o),c))),h=uu(d,p);return Sd(h,i,a)}});const _d=Aa({meanSquaredError_:function(e,t,n,r=Id.SUM_BY_NONZERO_WEIGHTS){const a=Ea(e,"labels","meanSquaredError"),s=Ea(t,"predictions","meanSquaredError");let o=null;null!=n&&(o=Ea(n,"weights","meanSquaredError")),u(a.shape,s.shape,"Error in meanSquaredError: ");const i=Zl(a,s);return Sd(i,o,r)}});const Ad=Aa({sigmoidCrossEntropy_:function(e,t,n,r=0,a=Id.SUM_BY_NONZERO_WEIGHTS){let s=Ea(e,"multiClassLabels","sigmoidCrossEntropy");const o=Ea(t,"logits","sigmoidCrossEntropy");let i=null;if(null!=n&&(i=Ea(n,"weights","sigmoidCrossEntropy")),u(s.shape,o.shape,"Error in sigmoidCrossEntropy: "),r>0){const e=Ri(r),t=Ri(1),n=Ri(.5);s=Ws(Gs(s,uu(t,e)),Gs(n,e))}const l=function(e,t){const n=Ea(e,"labels","sigmoidCrossEntropyWithLogits"),r=Ea(t,"logits","sigmoidCrossEntropyWithLogits");u(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");const a=Cl(r),s=Gs(r,n),o=nu(Pi(su(Hs(r))));return Ws(uu(a,s),o)}(s,o);return Sd(l,i,a)}});const Od=Aa({softmaxCrossEntropy_:function(e,t,n,r=0,a=Id.SUM_BY_NONZERO_WEIGHTS){let s=Ea(e,"onehotLabels","softmaxCrossEntropy");const o=Ea(t,"logits","softmaxCrossEntropy");let i=null;if(null!=n&&(i=Ea(n,"weights","softmaxCrossEntropy")),u(s.shape,o.shape,"Error in softmaxCrossEntropy: "),r>0){const e=Ri(r),t=Ri(1),n=Ri(s.shape[1]);s=Ws(Gs(s,uu(t,e)),Us(e,n))}const l=function(e,t,n=-1){if(-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${t.rank} and dim was ${n}`);return au((e,t,r)=>{const a=cu(t,[n],!0),s=uu(Ls(t,"float32"),a);r([e,s]);const o=su(Gs(s,e));return{value:Oi(o,[n]),gradFunc:(e,t)=>{const[r,a]=t,s=ki(e.shape,[n]);return[Gs(vo(e,s),uu(Ls(r,"float32"),Pi(a))),Gs(vo(e,s),uu(Pi(a),Ls(r,"float32")))]}}})(e,t)}(s,o);return Sd(l,i,a)}});const Fd={fft:ql,ifft:Kl,rfft:Ql,irfft:Xl},Dd={hammingWindow:Gc,hannWindow:Hc,frame:jc,stft:qc},Md={flipLeftRight:Xc,grayscaleToRGB:Yc,resizeNearestNeighbor:gd,resizeBilinear:md,rgbToGrayscale:Qc,rotateWithOffset:Zc,cropAndResize:Kc,nonMaxSuppression:ed,nonMaxSuppressionAsync:cd,nonMaxSuppressionWithScore:dd,nonMaxSuppressionWithScoreAsync:pd,nonMaxSuppressionPadded:hd,nonMaxSuppressionPaddedAsync:fd,threshold:yd,transform:bd},Pd={bandPart:xd,gramSchmidt:vd,qr:kd},Ld={absoluteDifference:Td,computeWeightedLoss:Sd,cosineDistance:Cd,hingeLoss:$d,huberLoss:Ed,logLoss:Rd,meanSquaredError:_d,sigmoidCrossEntropy:Ad,softmaxCrossEntropy:Od},Bd={sparseFillEmptyRows:Aa({sparseFillEmptyRows_:function(e,t,n,r){const a=Ea(e,"indices","sparseFillEmptyRows","int32"),s=Ea(t,"values","sparseFillEmptyRows"),o=Ea(n,"denseShape","sparseFillEmptyRows","int32"),i=Ea(r,"defaultValue","sparseFillEmptyRows",s.dtype);if(2!==a.rank)throw new Error(`Indices should be Tensor2D but received shape\n ${a.shape}`);if(1!==s.rank)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(1!==o.rank)throw new Error(`Dense shape should be Tensor1D but received shape ${o.shape}`);if(0!==i.rank)throw new Error(`Default value should be a scalar but received shape ${i.shape}`);const u={indices:a,values:s,denseShape:o,defaultValue:i},l=wa.runKernel($n,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}}),sparseReshape:Aa({sparseReshape_:function(e,t,n){const r=Ea(e,"inputIndices","sparseReshape","int32"),a=Ea(t,"inputShape","sparseReshape","int32"),s=Ea(n,"newShape","sparseReshape","int32");if(2!==r.rank)throw new Error(`Input indices should be Tensor2D but received shape\n ${r.shape}`);if(1!==a.rank)throw new Error(`Input shape should be Tensor1D but received shape ${a.shape}`);if(1!==s.rank)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);const o={inputIndices:r,inputShape:a,newShape:s},i=wa.runKernel(En,o);return{outputIndices:i[0],outputShape:i[1]}}}),sparseSegmentMean:Aa({sparseSegmentMean_:function(e,t,n){const r=Ea(e,"data","sparseSegmentMean"),a=Ea(t,"indices","sparseSegmentMean","int32"),s=Ea(n,"segmentIds","sparseSegmentMean","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error(`Indices should be Tensor1D but received shape\n ${a.shape}`);if(1!==s.rank)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);const o={data:r,indices:a,segmentIds:s};return wa.runKernel(Rn,o)}}),sparseSegmentSum:Aa({sparseSegmentSum_:function(e,t,n){const r=Ea(e,"data","sparseSegmentSum"),a=Ea(t,"indices","sparseSegmentSum","int32"),s=Ea(n,"segmentIds","sparseSegmentSum","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error(`Indices should be Tensor1D but received shape\n ${a.shape}`);if(1!==s.rank)throw new Error(`Segment ids should be Tensor1D but received shape\n ${s.shape}`);const o={data:r,indices:a,segmentIds:s};return wa.runKernel(_n,o)}})},Vd={stringNGrams:Aa({stringNGrams_:function(e,t,n,r,a,s,o,i){const u=Ea(e,"data","stringNGrams","string");if("string"!==u.dtype)throw new Error("Data must be of datatype string");if(1!==u.shape.length)throw new Error(`Data must be a vector, saw: ${u.shape}`);const l=Ea(t,"dataSplits","stringNGrams");if("int32"!==l.dtype)throw new Error("Data splits must be of datatype int32");const c={separator:n,nGramWidths:r,leftPad:a,rightPad:s,padWidth:o,preserveShortSequences:i},d={data:u,dataSplits:l},p=wa.runKernel(Pn,d,c);return{nGrams:p[0],nGramsSplits:p[1]}}}),stringSplit:Aa({stringSplit_:function(e,t,n=!0){const r=Ea(e,"input","stringSplit","string"),a=Ea(t,"delimiter","stringSplit","string");if(1!==r.rank)throw new Error(`Input should be Tensor1D but received shape ${r.shape}`);if(0!==a.rank)throw new Error(`Delimiter should be a scalar but received shape ${a.shape}`);const s={skipEmpty:n},o={input:r,delimiter:a},i=wa.runKernel(Ln,o,s);return{indices:i[0],values:i[1],shape:i[2]}}}),stringToHashBucketFast:Aa({stringToHashBucketFast_:function(e,t){const n=Ea(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");const a={input:n};return wa.runKernel(Bn,a,r)}}),staticRegexReplace:Aa({staticRegexReplace_:function(e,t,n,r=!0){const a=Ea(e,"input","staticRegexReplace","string"),s={pattern:t,rewrite:n,replaceGlobal:r};return wa.runKernel(Dn,{x:a},s)}})},Wd=new Map,zd=new Map;class Ud{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}}class Gd{constructor(){this.classNameMap={}}static getMap(){return null==Gd.instance&&(Gd.instance=new Gd),Gd.instance}static register(e){Gd.getMap().classNameMap[e.className]=[e,e.fromConfig]}}function Hd(e,t,n){i(null!=e.className,()=>"Class being registered does not have the static className property defined."),i("string"===typeof e.className,()=>"className is required to be a string, but got type "+typeof e.className),i(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),"undefined"===typeof t&&(t="Custom"),"undefined"===typeof n&&(n=e.className);const r=t+">"+n;return Gd.register(e),Wd.set(r,e),zd.set(e,r),e}class jd extends Ud{minimize(e,t=!1,n){const{value:r,grads:a}=this.computeGradients(e,n);if(null!=n){const e=n.map(e=>({name:e.name,tensor:a[e.name]}));this.applyGradients(e)}else this.applyGradients(a);return Va(a),t?r:(r.dispose(),null)}get iterations(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return ru(e,t)}dispose(){null!=this.iterations_&&Va(this.iterations_)}async saveIterations(){return null==this.iterations_&&(this.iterations_=0),{name:"iter",tensor:Ri(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}}Object.defineProperty(jd,Symbol.hasInstance,{value:e=>null!=e.minimize&&null!=e.computeGradients&&null!=e.applyGradients});class qd extends jd{static get className(){return"Adadelta"}constructor(e,t,n=null){super(),this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],null==n&&(this.epsilon=wa.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(e=>e.name):Object.keys(e)).forEach((t,n)=>{const r=wa.registeredVariables[t],a=!1;null==this.accumulatedGrads[n]&&(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:Ba(()=>pi(r).variable(a))}),null==this.accumulatedUpdates[n]&&(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:Ba(()=>pi(r).variable(a))});const s=Array.isArray(e)?e[n].tensor:e[t];if(null==s)return;const o=this.accumulatedGrads[n].variable,i=this.accumulatedUpdates[n].variable;Ba(()=>{const e=Ws(Gs(o,this.rho),Gs(Ai(s),1-this.rho)),t=Gs(Us(_i(Ws(i,this.epsilon)),_i(Ws(o,this.epsilon))),s),n=Ws(Gs(i,this.rho),Gs(Ai(t),1-this.rho));o.assign(e),i.assign(n);const a=Ws(Gs(t,-this.learningRate),r);r.assign(a)})}),this.incrementIterations()}dispose(){null!=this.accumulatedUpdates&&(Va(this.accumulatedGrads.map(e=>e.variable)),Va(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){const e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){const t=(e=await this.extractIterations(e)).length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(e=>({originalName:e.name,variable:e.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,2*t).map(e=>({originalName:e.name,variable:e.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}}class Kd extends jd{static get className(){return"Adagrad"}constructor(e,t=.1){super(),this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(e=>e.name):Object.keys(e)).forEach((t,n)=>{const r=wa.registeredVariables[t];if(null==this.accumulatedGrads[n]){const e=!1;this.accumulatedGrads[n]={originalName:`${t}/accumulator`,variable:Ba(()=>Bo(r.shape,this.initialAccumulatorValue).variable(e))}}const a=Array.isArray(e)?e[n].tensor:e[t];if(null==a)return;const s=this.accumulatedGrads[n].variable;Ba(()=>{const e=Ws(s,Ai(a));s.assign(e);const t=Ws(Gs(Us(a,_i(Ws(e,wa.backend.epsilon()))),-this.learningRate),r);r.assign(t)})}),this.incrementIterations()}dispose(){null!=this.accumulatedGrads&&Va(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);this.accumulatedGrads=e.map(e=>({originalName:e.name,variable:e.tensor.variable(false)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}}class Xd extends jd{static get className(){return"Adam"}constructor(e,t,n,r=null){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=r,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],Ba(()=>{this.accBeta1=Ri(t).variable(),this.accBeta2=Ri(n).variable()}),null==r&&(this.epsilon=wa.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map(e=>e.name):Object.keys(e);Ba(()=>{const n=uu(1,this.accBeta1),r=uu(1,this.accBeta2);t.forEach((t,a)=>{const s=wa.registeredVariables[t],o=!1;null==this.accumulatedFirstMoment[a]&&(this.accumulatedFirstMoment[a]={originalName:`${t}/m`,variable:Ba(()=>pi(s).variable(o))}),null==this.accumulatedSecondMoment[a]&&(this.accumulatedSecondMoment[a]={originalName:`${t}/v`,variable:Ba(()=>pi(s).variable(o))});const i=Array.isArray(e)?e[a].tensor:e[t];if(null==i)return;const u=this.accumulatedFirstMoment[a].variable,l=this.accumulatedSecondMoment[a].variable,c=Ws(Gs(u,this.beta1),Gs(i,1-this.beta1)),d=Ws(Gs(l,this.beta2),Gs(Ai(i),1-this.beta2)),p=Us(c,n),h=Us(d,r);u.assign(c),l.assign(d);const f=Ws(Gs(Us(p,Ws(_i(h),this.epsilon)),-this.learningRate),s);s.assign(f)}),this.accBeta1.assign(Gs(this.accBeta1,this.beta1)),this.accBeta2.assign(Gs(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&Va(this.accumulatedFirstMoment.map(e=>e.variable)),null!=this.accumulatedSecondMoment&&Va(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){const e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e),Ba(()=>{this.accBeta1.assign(Ei(this.beta1,this.iterations_+1)),this.accBeta2.assign(Ei(this.beta2,this.iterations_+1))});const t=e.length/2,n=!1;this.accumulatedFirstMoment=e.slice(0,t).map(e=>({originalName:e.name,variable:e.tensor.variable(n)})),this.accumulatedSecondMoment=e.slice(t,2*t).map(e=>({originalName:e.name,variable:e.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}}class Yd extends jd{static get className(){return"Adamax"}constructor(e,t,n,r=null,a=0){super(),this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=r,this.decay=a,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],Ba(()=>{this.iteration=Ri(0).variable(),this.accBeta1=Ri(t).variable()}),null==r&&(this.epsilon=wa.backend.epsilon())}applyGradients(e){const t=Array.isArray(e)?e.map(e=>e.name):Object.keys(e);Ba(()=>{const n=uu(1,this.accBeta1),r=Us(-this.learningRate,Ws(Gs(this.iteration,this.decay),1));t.forEach((t,a)=>{const s=wa.registeredVariables[t],o=!1;null==this.accumulatedFirstMoment[a]&&(this.accumulatedFirstMoment[a]={originalName:`${t}/m`,variable:pi(s).variable(o)}),null==this.accumulatedWeightedInfNorm[a]&&(this.accumulatedWeightedInfNorm[a]={originalName:`${t}/v`,variable:pi(s).variable(o)});const i=Array.isArray(e)?e[a].tensor:e[t];if(null==i)return;const u=this.accumulatedFirstMoment[a].variable,l=this.accumulatedWeightedInfNorm[a].variable,c=Ws(Gs(u,this.beta1),Gs(i,1-this.beta1)),d=Gs(l,this.beta2),p=Hs(i),h=wu(d,p);u.assign(c),l.assign(h);const f=Ws(Gs(Us(r,n),Us(c,Ws(h,this.epsilon))),s);s.assign(f)}),this.iteration.assign(Ws(this.iteration,1)),this.accBeta1.assign(Gs(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&Va(this.accumulatedFirstMoment.map(e=>e.variable)),null!=this.accumulatedWeightedInfNorm&&Va(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}}class Qd extends jd{static get className(){return"SGD"}constructor(e){super(),this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map(e=>e.name):Object.keys(e)).forEach((t,n)=>{const r=Array.isArray(e)?e[n].tensor:e[t];if(null==r)return;const a=wa.registeredVariables[t];Ba(()=>{const e=Ws(Gs(this.c,r),a);a.assign(e)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=Wa(Ri(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(0!==(e=await this.extractIterations(e)).length)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}}class Zd extends Qd{static get className(){return"Momentum"}constructor(e,t,n=!1){super(e),this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=Ri(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map(e=>e.name):Object.keys(e)).forEach((t,n)=>{const r=wa.registeredVariables[t];if(null==this.accumulations[n]){const e=!1;this.accumulations[n]={originalName:`${t}/momentum`,variable:Ba(()=>pi(r).variable(e))}}const a=this.accumulations[n].variable,s=Array.isArray(e)?e[n].tensor:e[t];null!=s&&Ba(()=>{let e;const t=Ws(Gs(this.m,a),s);e=this.useNesterov?Ws(Gs(this.c,Ws(s,Gs(t,this.m))),r):Ws(Gs(this.c,t),r),a.assign(t),r.assign(e)})}),this.incrementIterations()}dispose(){this.m.dispose(),null!=this.accumulations&&Va(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);this.accumulations=e.map(e=>({originalName:e.name,variable:e.tensor.variable(false)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}}class Jd extends jd{static get className(){return"RMSProp"}constructor(e,t=.9,n=0,r=null,a=!1){if(super(),this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=r,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=a,null==r&&(this.epsilon=wa.backend.epsilon()),null==e)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){(Array.isArray(e)?e.map(e=>e.name):Object.keys(e)).forEach((t,n)=>{const r=wa.registeredVariables[t],a=!1;null==this.accumulatedMeanSquares[n]&&(this.accumulatedMeanSquares[n]={originalName:`${t}/rms`,variable:Ba(()=>pi(r).variable(a))}),null==this.accumulatedMoments[n]&&(this.accumulatedMoments[n]={originalName:`${t}/momentum`,variable:Ba(()=>pi(r).variable(a))}),null==this.accumulatedMeanGrads[n]&&this.centered&&(this.accumulatedMeanGrads[n]={originalName:`${t}/mg`,variable:Ba(()=>pi(r).variable(a))});const s=Array.isArray(e)?e[n].tensor:e[t];if(null==s)return;const o=this.accumulatedMeanSquares[n].variable,i=this.accumulatedMoments[n].variable;Ba(()=>{const e=Ws(Gs(o,this.decay),Gs(Ai(s),1-this.decay));if(this.centered){const t=this.accumulatedMeanGrads[n].variable,a=Ws(Gs(t,this.decay),Gs(s,1-this.decay)),u=Us(Gs(s,this.learningRate),_i(uu(e,Ws(Ai(a),this.epsilon)))),l=Ws(Gs(i,this.momentum),u);o.assign(e),t.assign(a),i.assign(l);const c=uu(r,l);r.assign(c)}else{const e=Ws(Gs(o,this.decay),Gs(Ai(s),1-this.decay)),t=Ws(Gs(i,this.momentum),Us(Gs(s,this.learningRate),_i(Ws(e,this.epsilon))));o.assign(e),i.assign(t);const n=uu(r,t);r.assign(n)}})}),this.incrementIterations()}dispose(){null!=this.accumulatedMeanSquares&&Va(this.accumulatedMeanSquares.map(e=>e.variable)),null!=this.accumulatedMeanGrads&&this.centered&&Va(this.accumulatedMeanGrads.map(e=>e.variable)),null!=this.accumulatedMoments&&Va(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){const e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);const t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map(e=>({originalName:e.name,variable:e.tensor.variable(n)})),this.accumulatedMoments=e.slice(t,2*t).map(e=>({originalName:e.name,variable:e.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=e.slice(2*t,3*t).map(e=>({originalName:e.name,variable:e.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}}const ep=[qd,Kd,Xd,Yd,Zd,Jd,Qd];function tp(e){return new Promise(e=>setTimeout(e)).then(e)}class np{constructor(e){if(!V().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(np.URL_SCHEME)&&(e=e.slice(np.URL_SCHEME.length)),null!=e&&0!==e.length||(e="model"),this.modelJsonFileName=e+".json",this.weightDataFileName=e+".weights.bin"}async save(e){if("undefined"===typeof document)throw new Error("Browser downloads are not supported in this environment since `document` is not present");const t=Pa.join(e.weightData),n=window.URL.createObjectURL(new Blob([t],{type:"application/octet-stream"}));if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{const t=ns(e,[{paths:["./"+this.weightDataFileName],weights:e.weightSpecs}]),r=window.URL.createObjectURL(new Blob([JSON.stringify(t)],{type:"application/json"})),a=null==this.modelJsonAnchor?document.createElement("a"):this.modelJsonAnchor;if(a.download=this.modelJsonFileName,a.href=r,await tp(()=>a.dispatchEvent(new MouseEvent("click"))),null!=e.weightData){const e=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor;e.download=this.weightDataFileName,e.href=n,await tp(()=>e.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:ss(e)}}}}np.URL_SCHEME="downloads://";class rp{constructor(e){if(null==e||e.length<1)throw new Error(`When calling browserFiles, at least 1 file is required, but received ${e}`);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}async load(){return new Promise((e,t)=>{const n=new FileReader;n.onload=n=>{const r=JSON.parse(n.target.result),a=r.modelTopology;if(null==a)return void t(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));if(null==r.weightsManifest)return void t(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));if(0===this.weightsFiles.length)return void e({modelTopology:a});const s=as(r,e=>this.loadWeights(e));e(s)},n.onerror=e=>t(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`),n.readAsText(this.jsonFile)})}loadWeights(e){const t=[],n=[];for(const s of e)t.push(...s.weights),n.push(...s.paths);const r=this.checkManifestAndWeightFiles(e),a=n.map(e=>this.loadWeightsFile(e,r[e]));return Promise.all(a).then(e=>[t,e])}loadWeightsFile(e,t){return new Promise((n,r)=>{const a=new FileReader;a.onload=e=>{const t=e.target.result;n(t)},a.onerror=t=>r(`Failed to weights data from file of path '${e}'.`),a.readAsArrayBuffer(t)})}checkManifestAndWeightFiles(e){const t=[],n=this.weightsFiles.map(e=>ts(e.name)),r={};for(const a of e)a.paths.forEach(e=>{const a=ts(e);if(-1!==t.indexOf(a))throw new Error(`Duplicate file basename found in weights manifest: '${a}'`);if(t.push(a),-1===n.indexOf(a))throw new Error(`Weight file with basename '${a}' is not provided.`);r[e]=this.weightsFiles[n.indexOf(a)]});if(t.length!==this.weightsFiles.length)throw new Error(`Mismatch in the number of files in weights manifest (${t.length}) and the number of weight files provided (${this.weightsFiles.length}).`);return r}}function ap(e,t,n,r){var a,s,o;i(null!=(a=e)&&Array.isArray(a)&&a.length>0,()=>"promises must be a none empty array"),o=r=r??1,i((s=n=n??0)>=0&&s<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${s}`),i(o>=0&&o<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${o}`),i(o>=s,()=>`startFraction must be no more than endFraction, but got startFraction ${s} and endFraction ${o}`);let u=0;return Promise.all(e.map(a=>(a.then(a=>{const s=n+ ++u/e.length*(r-n);return t(s),a}),a)))}async function sp(e,t){null==t&&(t={});const n=null==t.fetchFunc?V().platform.fetch:t.fetchFunc,r=e.map(e=>n(e,t.requestInit,{isBinary:!0})),a=(null==t.onProgress?await Promise.all(r):await ap(r,t.onProgress,0,.5)).map(e=>e.arrayBuffer());return null==t.onProgress?await Promise.all(a):await ap(a,t.onProgress,.5,1)}function op(e){return async(t,n="",r)=>{const a=t.map(()=>!1),s={},o=null!=r?r.map(()=>!1):[],i=[];if(t.forEach((e,t)=>{let n=0;e.weights.forEach(e=>{const u="quantization"in e?e.quantization.dtype:e.dtype,l=Ma[u]*c(e.shape),d=()=>{a[t]=!0,null==s[t]&&(s[t]=[]),s[t].push({manifestEntry:e,groupOffset:n,sizeBytes:l})};null!=r?r.forEach((t,n)=>{t===e.name&&(d(),o[n]=!0)}):d(),i.push(e.name),n+=l})}),!o.every(e=>e)){const e=r.filter((e,t)=>!o[t]);throw new Error(`Could not find weights in manifest with names: ${e.join(", ")}. \nManifest JSON has weights with names: ${i.join(", ")}.`)}const u=a.reduce((e,t,n)=>(t&&e.push(n),e),[]),l=[];u.forEach(e=>{t[e].paths.forEach(e=>{const t=n+(n.endsWith("/")?"":"/")+e;l.push(t)})});const d=await e(l),p={};let h=0;return u.forEach(e=>{const n=t[e].paths.length,r=new Pa(d.slice(h,h+n));s[e].forEach(e=>{const t=ja(r.slice(e.groupOffset,e.groupOffset+e.sizeBytes),[e.manifestEntry]);for(const n in t)p[n]=t[n]}),h+=n}),p}}is.registerSaveRouter(e=>V().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(np.URL_SCHEME)?function(e="model"){return new np(e)}(e.slice(np.URL_SCHEME.length)):null);class ip{constructor(e,t){if(this.DEFAULT_METHOD="POST",null==t&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.weightUrlConverter=t.weightUrlConverter,null!=t.fetchFunc?(i("function"===typeof t.fetchFunc,()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=V().platform.fetch,i(null!=e&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&i(2===e.length,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,null!=t.requestInit&&null!=t.requestInit.body)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{},this.loadOptions=t}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");const t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;const n=ns(e,[{paths:["./model.weights.bin"],weights:e.weightSpecs}]);if(t.body.append("model.json",new Blob([JSON.stringify(n)],{type:"application/json"}),"model.json"),null!=e.weightData){const n=Pa.join(e.weightData);t.body.append("model.weights.bin",new Blob([n],{type:"application/octet-stream"}),"model.weights.bin")}const r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:ss(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async loadModelJSON(){const e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(a){let e=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?e+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":e+=" Please make sure the server is serving valid JSON for this request.",new Error(e)}const n=t.modelTopology,r=t.weightsManifest;if(null==n&&null==r)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return t}async load(){if(this.loadOptions.streamWeights)return this.loadStream();return as(await this.loadModelJSON(),e=>this.loadWeights(e))}async loadStream(){const e=await this.loadModelJSON(),t=await this.getWeightUrls(e.weightsManifest),n=os(e.weightsManifest);return Object.assign(Object.assign({},e),{weightSpecs:n,getWeightStream:()=>function(e,t){var n;const r=null==t.fetchFunc?V().platform.fetch:t.fetchFunc;let a,s=0;return null===(n=t.onProgress)||void 0===n||n.call(t,0),new ReadableStream({pull:async n=>{for(var o;st?e.substring(n):"";return[r+"/",a]}(t),a=this.weightPathPrefix||n,s=[],o=[];for(const i of e)for(const e of i.paths)null!=this.weightUrlConverter?o.push(this.weightUrlConverter(e)):s.push(a+e+r);return this.weightUrlConverter&&s.push(...await Promise.all(o)),s}async loadWeights(e){const t=await this.getWeightUrls(e);return[os(e),await sp(t,this.loadOptions)]}}function up(e){return null!=e.match(ip.URL_SCHEME_REGEX)}ip.URL_SCHEME_REGEX=/^https?:\/\//;const lp=(e,t)=>{if("undefined"===typeof fetch&&(null==t||null==t.fetchFunc))return null;{let n=!0;if(n=Array.isArray(e)?e.every(e=>up(e)):up(e),n)return cp(e,t)}return null};function cp(e,t){return new ip(e,t)}is.registerSaveRouter(lp),is.registerLoadRouter(lp);class dp{constructor(e){this.modelArtifacts=e}load(){return this.modelArtifacts}}class pp{constructor(e){this.saveHandler=e}save(e){return this.saveHandler(e)}}class hp{constructor(e){e.load&&(this.load=()=>Promise.resolve(e.load())),e.save&&(this.save=t=>Promise.resolve(e.save(t)))}}function fp(e,t,n,r){if(1===arguments.length){return null!=e.modelTopology||null!=e.weightSpecs?new dp(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new dp({modelTopology:e}))}return console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new dp({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:r})}const mp=Object.freeze(Object.defineProperty({__proto__:null,CompositeArrayBuffer:Pa,browserFiles:function(e){return new rp(e)},browserHTTPRequest:function(e,t){return cp(e,t)},concatenateArrayBuffers:function(e){return Pa.join(e)},copyModel:async function(e,t){return As(e,t,!1)},decodeWeights:ja,decodeWeightsStream:Qa,encodeWeights:async function(e,t){const n=[],r=[],a=Array.isArray(e)?e.map(e=>e.name):Object.keys(e);for(let s=0;s{const t=await i.bytes(),n=t.reduce((e,t)=>e+t.length,0)+4*t.length,r=new Uint8Array(n);let a=0;for(let s=0;sis.getLoadHandlers(e,t),getModelArtifactsForJSON:as,getModelArtifactsForJSONSync:rs,getModelArtifactsInfoForJSON:ss,getSaveHandlers:e=>is.getSaveHandlers(e),getWeightSpecs:os,http:cp,isHTTPScheme:up,listModels:async function(){const e=Rs.getSchemes(),t={};for(const n of e){const e=await Rs.getManager(n).listModels();for(const r in e){t[n+Es+r]=e[r]}}return t},loadWeights:async function(e,t="",n,r){return op(e=>sp(e,{requestInit:r}))(e,t,n)},moveModel:async function(e,t){return As(e,t,!0)},registerLoadRouter:e=>is.registerLoadRouter(e),registerSaveRouter:e=>is.registerSaveRouter(e),removeModel:async function(e){const t=_s(e);return Rs.getManager(t.scheme).removeModel(t.path)},weightsLoaderFactory:op,withSaveHandler:function(e){return new pp(e)},withSaveHandlerSync:function(e){return new pp(e)}},Symbol.toStringTag,{value:"Module"}));let gp,yp=!1;async function bp(e,t){let n=Ea(e,"img","toPixels");if(!(e instanceof Yr)){const e=n;n=Ls(e,"int32"),e.dispose()}!function(e){if(2!==e.rank&&3!==e.rank)throw new Error(`toPixels only supports rank 2 or 3 tensors, got rank ${e.rank}.`);const t=2===e.rank?1:e.shape[2];if(t>4||2===t)throw new Error(`toPixels only supports depth of size 1, 3 or 4 but got ${t}`);if("float32"!==e.dtype&&"int32"!==e.dtype)throw new Error(`Unsupported type for toPixels: ${e.dtype}. Please use float32 or int32 tensors.`)}(n);const[r,a]=n.shape.slice(0,2),s=2===n.rank?1:n.shape[2],o=await n.data(),i="float32"===n.dtype?255:1,u=new Uint8ClampedArray(a*r*4);for(let l=0;l1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${t}.`)}else if("int32"===n.dtype&&(t<0||t>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${t}.`);1===s?(e[0]=t*i,e[1]=t*i,e[2]=t*i):e[r]=t*i}const t=4*l;u[t+0]=Math.round(e[0]),u[t+1]=Math.round(e[1]),u[t+2]=Math.round(e[2]),u[t+3]=Math.round(e[3])}if(null!=t){if(!yp){null!=or(Ve,wa.backendName)&&(console.warn("tf.browser.toPixels is not efficient to draw tensor on canvas. Please try tf.browser.draw instead."),yp=!0)}t.width=a,t.height=r;const e=t.getContext("2d"),n=new ImageData(u,a,r);e.putImageData(n,0,0)}return n!==e&&n.dispose(),u}const xp=Aa({fromPixels_:function(e,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(null==e)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let n=!1,r=!1,a=!1,s=!1,o=!1,i=!1;if(e.data instanceof Uint8Array)n=!0;else if("undefined"!==typeof ImageData&&e instanceof ImageData)r=!0;else if("undefined"!==typeof HTMLVideoElement&&e instanceof HTMLVideoElement)a=!0;else if("undefined"!==typeof HTMLImageElement&&e instanceof HTMLImageElement)s=!0;else if(null!=e.getContext)o=!0;else{if(!("undefined"!==typeof ImageBitmap&&e instanceof ImageBitmap))throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${e.constructor.name}`);i=!0}if(null!=or(Zn,wa.backendName)){const n={pixels:e},r={numChannels:t};return wa.runKernel(Zn,n,r)}const[u,l]=a?[e.videoWidth,e.videoHeight]:[e.width,e.height];let c,d;if(o)c=e.getContext("2d").getImageData(0,0,u,l).data;else if(r||n)c=e.data;else if(s||a||i){if(null==gp)if("undefined"===typeof document){if("undefined"===typeof OffscreenCanvas||"undefined"===typeof OffscreenCanvasRenderingContext2D)throw new Error("Cannot parse input in current context. 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Input shape: ${e.shape}.`);const a=t.shape,s=a[a.length-1];let o=1;for(let c=0;ce/l),1].slice(0,s);return[u,o,l,d]}function wp(e,t,n){const r=e.shape.length;i(r===t.length,()=>`Error in slice${r}D: Length of begin ${t} must match the rank of the array (${r}).`),i(r===n.length,()=>`Error in slice${r}D: Length of size ${n} must match the rank of the array (${r}).`);for(let a=0;a`Error in slice${r}D: begin[${a}] + size[${a}] (${t[a]+n[a]}) would overflow input.shape[${a}] (${e.shape[a]})`)}function kp(e,t,n){const r=[];for(let a=0;a1){r=a;break}for(let a=r+1;a0||n[a]!==e[a])return!1;return!0}function Np(e,t){let n=e.length>0?e[e.length-1]:1;for(let r=0;r{i(-1!==e,()=>"slice() does not support negative begin indexing.")}),s=null==n?new Array(a).fill(-1):"number"===typeof n?[n,...new Array(a-1).fill(-1)]:n.lengtht>=0?t:(i(-1===t,()=>`Negative size values should be exactly -1 but got ${t} for the slice() size at index ${n}.`),e.shape[n]-r[n])),[r,s]}function Tp(e,t,n,r,a,s,o,i,u){let l;if(null==r?(l=new Array(t.length),l.fill(1)):l=r,null!=o&&0!==(o&o-1))throw new Error("Multiple ellipses in slice is not allowed.");let c=!1;const d={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:l.slice(),beginMask:a,endMask:s,ellipsisMask:o,newAxisMask:i,shrinkAxisMask:u};for(let b=0;b0?0:-1,p.strides[b]>0?n:n-1];if(t&&p.strides[b]<=0)throw Error("only stride 1 allowed on non-range indexing.");m=m&&1===p.strides[b];const s=!!(p.beginMask&1<=n)throw Error(`slice index ${p.begin[b]} of dimension ${b} out of bounds.`)}else p.begin[b]=Cp(p.begin[b],0,p.strides[b],n,r,a),p.end[b]=Cp(p.end[b],1,p.strides[b],n,r,a);const e=1===p.strides[b]&&0===p.begin[b]&&p.end[b]===n;h=h&&e,f=f&&(0===b&&1===p.strides[b]||e)}else h=h&&1===p.strides[b]&&s,f=f&&(0===b&&1===p.strides[b]||s);let o,i=!1;if(p.beginValid&&p.endValid?(o=p.end[b]-p.begin[b],i=!0):t?(o=1,i=!0):s&&n>=0&&(o=p.strides[b]<0?-n:n,i=!0),i){let 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s.data())[0]?n.functionMap[r].executeFunctionAsync(o,n.tensorArrayMap,n.tensorListMap):n.functionMap[a].executeFunctionAsync(o,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{const r=Lh("body",e,t,n),a=Lh("cond",e,t,n),s=Lh("args",e,t,n),o=await n.functionMap[a].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),i=s.map(e=>e.id);let u=await o[0].data();o.forEach(e=>{e.kept||-1!==i.indexOf(e.id)||e.dispose()});let l=s;for(;u[0];){const e=l;l=await n.functionMap[r].executeFunctionAsync(l,n.tensorArrayMap,n.tensorListMap);const t=l.map(e=>e.id);e.forEach(e=>{e.kept||-1!==i.indexOf(e.id)||-1!==t.indexOf(e.id)||e.dispose()});const s=await n.functionMap[a].executeFunctionAsync(l,n.tensorArrayMap,n.tensorListMap);u=await s[0].data(),s.forEach(e=>{e.kept||-1!==i.indexOf(e.id)||-1!==t.indexOf(e.id)||e.dispose()})}return l}case"LoopCond":return[Hh(Lh("pred",e,t,n))];case"Switch":{const r=Lh("pred",e,t,n);let a=Lh("data",e,t,n);return a.kept||(a=Hh(a)),(await r.data())[0]?[void 0,a]:[a,void 0]}case"Merge":{const r=e.inputNames.find(e=>void 0!==Bh(e,t,n));if(r){return[Hh(Bh(r,t,n))]}return}case"Enter":{const r=Lh("frameName",e,t,n),a=Lh("tensor",e,t,n);return n.enterFrame(r),[Hh(a)]}case"Exit":{const r=Lh("tensor",e,t,n);return n.exitFrame(),[Hh(r)]}case"NextIteration":{const r=Lh("tensor",e,t,n);return n.nextIteration(),[Hh(r)]}case"TensorArrayV3":{const r=Lh("size",e,t,n),a=Lh("dtype",e,t,n),s=Lh("elementShape",e,t,n),o=Lh("dynamicSize",e,t,n),i=Lh("clearAfterRead",e,t,n),u=Lh("identicalElementShapes",e,t,n),l=Lh("name",e,t,n),c=new Of(l,a,r,s,u,o,i);return n.addTensorArray(c),[c.idTensor,Ri(1)]}case"TensorArrayWriteV3":{const r=Lh("tensorArrayId",e,t,n),a=Lh("index",e,t,n),s=Lh("tensor",e,t,n),o=n.getTensorArray(r.id);return o.write(a,s),[o.idTensor]}case"TensorArrayReadV3":{const r=Lh("tensorArrayId",e,t,n),a=Lh("index",e,t,n);return[n.getTensorArray(r.id).read(a)]}case"TensorArrayGatherV3":{const r=Lh("tensorArrayId",e,t,n),a=Lh("indices",e,t,n),s=Lh("dtype",e,t,n);return[n.getTensorArray(r.id).gather(a,s)]}case"TensorArrayScatterV3":{const r=Lh("tensorArrayId",e,t,n),a=Lh("indices",e,t,n),s=Lh("tensor",e,t,n),o=n.getTensorArray(r.id);return o.scatter(a,s),[o.idTensor]}case"TensorArrayConcatV3":{const r=Lh("tensorArrayId",e,t,n),a=n.getTensorArray(r.id),s=Lh("dtype",e,t,n);return[a.concat(s)]}case"TensorArraySplitV3":{const r=Lh("tensorArrayId",e,t,n),a=Lh("tensor",e,t,n),s=Lh("lengths",e,t,n),o=n.getTensorArray(r.id);return o.split(s,a),[o.idTensor]}case"TensorArraySizeV3":{const r=Lh("tensorArrayId",e,t,n);return[Ri(n.getTensorArray(r.id).size(),"int32")]}case"TensorArrayCloseV3":{const r=Lh("tensorArrayId",e,t,n),a=n.getTensorArray(r.id);return a.clearAndClose(),[a.idTensor]}case"TensorListSetItem":{const r=Lh("tensorListId",e,t,n),a=Lh("index",e,t,n),s=Lh("tensor",e,t,n),o=n.getTensorList(r.id);return o.setItem(a,s),[o.idTensor]}case"TensorListGetItem":{const r=Lh("tensorListId",e,t,n),a=Lh("index",e,t,n),s=Lh("elementShape",e,t,n),o=Lh("elementDType",e,t,n);return[n.getTensorList(r.id).getItem(a,s,o)]}case"TensorListScatterV2":case"TensorListScatter":{const r=Lh("indices",e,t,n),a=function(e,t,n,r){if(t.length!==e.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${t.length} vs. ${e.shape[0]}`);const a=Math.max(...t);if(null!=r&&-1!==r&&a>=r)throw new Error(`Max index must be < array size (${a} vs. ${r})`);const s=new Ff([],n,e.dtype,r),o=bc(e,0);return t.forEach((e,t)=>{s.setItem(e,o[t])}),s}(Lh("tensor",e,t,n),r,Lh("elementShape",e,t,n),Lh("numElements",e,t,n));return n.addTensorList(a),[a.idTensor]}case"TensorListReserve":case"EmptyTensorList":{const r=Lh("elementShape",e,t,n),a=Lh("elementDType",e,t,n);let s;s="TensorListReserve"===e.op?"numElements":"maxNumElements";const o=Lh(s,e,t,n),i=function(e,t,n,r){return new Ff([],e,t,r)}(r,a,0,"TensorListReserve"===e.op?-1:o);return 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r=Lh("tensorListId",e,t,n),a=n.getTensorList(r.id),s=Lh("dtype",e,t,n),o=Lh("elementShape",e,t,n);return[a.concat(s,o)]}case"TensorListPushBack":{const r=Lh("tensorListId",e,t,n),a=Lh("tensor",e,t,n),s=n.getTensorList(r.id);return s.pushBack(a),[s.idTensor]}case"TensorListPopBack":{const r=Lh("tensorListId",e,t,n),a=Lh("elementShape",e,t,n),s=Lh("elementDType",e,t,n);return[n.getTensorList(r.id).popBack(a,s)]}case"TensorListSplit":{const r=Lh("tensor",e,t,n),a=Lh("elementShape",e,t,n),s=function(e,t,n){let r=0;const a=t.map(e=>(r+=e,r));if(r!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ${r}, and tensor's shape is: ${e.shape}`);const s=Af(e.shape.slice(1),n),o=0===r?0:e.size/r,i=Ba(()=>{const n=[];e=vo(e,[1,r,o]);for(let r=0;re.dispose()),this.tensorMap.clear(),this.handle.dispose()}size(){return this.tensorMap.size}tensorSize(){return Ri(this.size(),"int32")}async import(e,t){this.checkKeyAndValueTensor(e,t);const n=await e.data();return this.tensorMap.forEach(e=>e.dispose()),this.tensorMap.clear(),Ba(()=>{const e=bc(t),r=n.length,a=e.length;i(r===a,()=>`The number of elements doesn't match, keys has ${r} elements, the values has ${a} elements.`);for(let t=0;t{const e=[];for(let r=0;r{switch(e.category){case"arithmetic":return a(()=>((e,t,n,r=$f)=>{switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[r.add(Lh("a",e,t,n),Lh("b",e,t,n))];case"AddN":return[r.addN(Lh("tensors",e,t,n))];case"FloorMod":case"Mod":return[r.mod(Lh("a",e,t,n),Lh("b",e,t,n))];case"Mul":return[r.mul(Lh("a",e,t,n),Lh("b",e,t,n))];case"RealDiv":case"Div":return[r.div(Lh("a",e,t,n),Lh("b",e,t,n))];case"DivNoNan":return[r.divNoNan(Lh("a",e,t,n),Lh("b",e,t,n))];case"FloorDiv":return[r.floorDiv(Lh("a",e,t,n),Lh("b",e,t,n))];case"Sub":return[r.sub(Lh("a",e,t,n),Lh("b",e,t,n))];case"Minimum":return[r.minimum(Lh("a",e,t,n),Lh("b",e,t,n))];case"Maximum":return[r.maximum(Lh("a",e,t,n),Lh("b",e,t,n))];case"Pow":return[r.pow(Lh("a",e,t,n),Lh("b",e,t,n))];case"SquaredDifference":return[r.squaredDifference(Lh("a",e,t,n),Lh("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n));case"basic_math":return a(()=>((e,t,n,r=$f)=>{switch(e.op){case"Abs":case"ComplexAbs":return[r.abs(Lh("x",e,t,n))];case"Acos":return[r.acos(Lh("x",e,t,n))];case"Acosh":return[r.acosh(Lh("x",e,t,n))];case"Asin":return[r.asin(Lh("x",e,t,n))];case"Asinh":return[r.asinh(Lh("x",e,t,n))];case"Atan":return[r.atan(Lh("x",e,t,n))];case"Atan2":return[r.atan2(Lh("x",e,t,n),Lh("y",e,t,n))];case"Atanh":return[r.atanh(Lh("x",e,t,n))];case"Ceil":return[r.ceil(Lh("x",e,t,n))];case"Complex":return[r.complex(Lh("real",e,t,n),Lh("imag",e,t,n))];case"Cos":return[r.cos(Lh("x",e,t,n))];case"Cosh":return[r.cosh(Lh("x",e,t,n))];case"Elu":return[r.elu(Lh("x",e,t,n))];case"Erf":return[r.erf(Lh("x",e,t,n))];case"Exp":return[r.exp(Lh("x",e,t,n))];case"Expm1":return[r.expm1(Lh("x",e,t,n))];case"Floor":return[r.floor(Lh("x",e,t,n))];case"Log":return[r.log(Lh("x",e,t,n))];case"Log1p":return[r.log1p(Lh("x",e,t,n))];case"Imag":return[r.imag(Lh("x",e,t,n))];case"Neg":return[r.neg(Lh("x",e,t,n))];case"Reciprocal":return[r.reciprocal(Lh("x",e,t,n))];case"Real":return[r.real(Lh("x",e,t,n))];case"Relu":return[r.relu(Lh("x",e,t,n))];case"Round":return[r.round(Lh("x",e,t,n))];case"Selu":return[r.selu(Lh("x",e,t,n))];case"Sigmoid":return[r.sigmoid(Lh("x",e,t,n))];case"Sin":return[r.sin(Lh("x",e,t,n))];case"Sign":return[r.sign(Lh("x",e,t,n))];case"Sinh":return[r.sinh(Lh("x",e,t,n))];case"Softplus":return[r.softplus(Lh("x",e,t,n))];case"Sqrt":return[r.sqrt(Lh("x",e,t,n))];case"Square":return[r.square(Lh("x",e,t,n))];case"Tanh":return[r.tanh(Lh("x",e,t,n))];case"Tan":return[r.tan(Lh("x",e,t,n))];case"ClipByValue":return[r.clipByValue(Lh("x",e,t,n),Lh("clipValueMin",e,t,n),Lh("clipValueMax",e,t,n))];case"Relu6":return[r.relu6(Lh("x",e,t,n))];case"Rsqrt":return[r.rsqrt(Bh(e.inputNames[0],t,n))];case"LeakyRelu":return[r.leakyRelu(Lh("x",e,t,n),Lh("alpha",e,t,n))];case"Prelu":return[r.prelu(Lh("x",e,t,n),Lh("alpha",e,t,n))];case"IsNan":return[r.isNaN(Bh(e.inputNames[0],t,n))];case"IsInf":return[r.isInf(Bh(e.inputNames[0],t,n))];case"IsFinite":return[r.isFinite(Bh(e.inputNames[0],t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n));case"control":return Df(e,t,n);case"convolution":return a(()=>((e,t,n,r=$f)=>{switch(e.op){case"Conv1D":{const a=Lh("stride",e,t,n),s=Lh("pad",e,t,n),o=Lh("dataFormat",e,t,n).toUpperCase(),i=Lh("dilation",e,t,n);return[r.conv1d(Lh("x",e,t,n),Lh("filter",e,t,n),a,s,o,i)]}case"Conv2D":{const 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a(()=>((e,t,n,r=$f)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul(Lh("a",e,t,n),Lh("b",e,t,n),Lh("transposeA",e,t,n),Lh("transposeB",e,t,n))];case"Einsum":return[r.einsum(Lh("equation",e,t,n),...Lh("tensors",e,t,n))];case"Transpose":return[r.transpose(Lh("x",e,t,n),Lh("perm",e,t,n))];case"_FusedMatMul":const[a,s]=Lh("fusedOps",e,t,n),o="biasadd"===a,i="prelu"===s,u=Lh("numArgs",e,t,n),l=Lh("leakyreluAlpha",e,t,n);if(o){if(i&&2!==u)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&1!==u)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}const[c,d]=Lh("args",e,t,n);return[r.fused.matMul({a:Lh("a",e,t,n),b:Lh("b",e,t,n),transposeA:Lh("transposeA",e,t,n),transposeB:Lh("transposeB",e,t,n),bias:c,activation:s,preluActivationWeights:d,leakyreluAlpha:l})];case"MatrixBandPart":return[r.linalg.bandPart(Lh("a",e,t,n),Lh("numLower",e,t,n),Lh("numUpper",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n));case"normalization":return a(()=>((e,t,n,r=$f)=>{switch(e.op){case"EuclideanNorm":return[r.euclideanNorm(Lh("x",e,t,n),Lh("axis",e,t,n),Lh("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm(Lh("x",e,t,n),Lh("mean",e,t,n),Lh("variance",e,t,n),Lh("offset",e,t,n),Lh("scale",e,t,n),Lh("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization(Lh("x",e,t,n),Lh("radius",e,t,n),Lh("bias",e,t,n),Lh("alpha",e,t,n),Lh("beta",e,t,n))];case"Softmax":return[r.softmax(Lh("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax(Lh("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n));case"ragged":return a(()=>((e,t,n,r=$f)=>{switch(e.op){case"RaggedGather":{const{outputNestedSplits:a,outputDenseValues:s}=r.raggedGather(Lh("paramsNestedSplits",e,t,n),Lh("paramsDenseValues",e,t,n),Lh("indices",e,t,n),Lh("outputRaggedRank",e,t,n));return 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a(()=>((e,t,n,r=$f)=>{switch(e.op){case"SparseFillEmptyRows":{const{outputIndices:a,outputValues:s,emptyRowIndicator:o,reverseIndexMap:i}=r.sparse.sparseFillEmptyRows(Lh("indices",e,t,n),Lh("values",e,t,n),Lh("denseShape",e,t,n),Lh("defaultValue",e,t,n));return[a,s,o,i]}case"SparseReshape":{const{outputIndices:a,outputShape:s}=r.sparse.sparseReshape(Lh("inputIndices",e,t,n),Lh("inputShape",e,t,n),Lh("newShape",e,t,n));return[a,s]}case"SparseSegmentMean":return[r.sparse.sparseSegmentMean(Lh("data",e,t,n),Lh("indices",e,t,n),Lh("segmentIds",e,t,n))];case"SparseSegmentSum":return[r.sparse.sparseSegmentSum(Lh("data",e,t,n),Lh("indices",e,t,n),Lh("segmentIds",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n));case"spectral":return a(()=>((e,t,n,r=$f)=>{switch(e.op){case"FFT":return[r.fft(Lh("x",e,t,n))];case"IFFT":return[r.ifft(Lh("x",e,t,n))];case"RFFT":return[r.rfft(Lh("x",e,t,n))];case"IRFFT":return[r.irfft(Lh("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n));case"string":return a(()=>((e,t,n,r=$f)=>{switch(e.op){case"StaticRegexReplace":return[r.string.staticRegexReplace(Lh("input",e,t,n),Lh("pattern",e,t,n),Lh("rewrite",e,t,n),Lh("replaceGlobal",e,t,n))];case"StringNGrams":{const{nGrams:a,nGramsSplits:s}=r.string.stringNGrams(Lh("data",e,t,n),Lh("dataSplits",e,t,n),Lh("separator",e,t,n),Lh("nGramWidths",e,t,n),Lh("leftPad",e,t,n),Lh("rightPad",e,t,n),Lh("padWidth",e,t,n),Lh("preserveShortSequences",e,t,n));return[a,s]}case"StringSplit":{const{indices:a,values:s,shape:o}=r.string.stringSplit(Lh("input",e,t,n),Lh("delimiter",e,t,n),Lh("skipEmpty",e,t,n));return[a,s,o]}case"StringToHashBucketFast":return[r.string.stringToHashBucketFast(Lh("input",e,t,n),Lh("numBuckets",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n));case"transformation":return a(()=>((e,t,n,r=$f)=>{switch(e.op){case"Cast":return[r.cast(Lh("x",e,t,n),Lh("dtype",e,t,n))];case"ExpandDims":{const a=Lh("axis",e,t,n);return[r.expandDims(Lh("x",e,t,n),a)]}case"Squeeze":{const a=Lh("axis",e,t,n);return[r.squeeze(Lh("x",e,t,n),a)]}case"Reshape":return[r.reshape(Lh("x",e,t,n),Lh("shape",e,t,n))];case"EnsureShape":return[r.ensureShape(Lh("x",e,t,n),Lh("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad(Lh("x",e,t,n),Lh("padding",e,t,n),Lh("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad(Lh("x",e,t,n),Lh("padding",e,t,n),Lh("constantValue",e,t,n))];case"SpaceToBatchND":{const a=Lh("blockShape",e,t,n),s=Lh("paddings",e,t,n);return[r.spaceToBatchND(Lh("x",e,t,n),a,s)]}case"BatchToSpaceND":{const a=Lh("blockShape",e,t,n),s=Lh("crops",e,t,n);return[r.batchToSpaceND(Lh("x",e,t,n),a,s)]}case"DepthToSpace":{const a=Lh("blockSize",e,t,n),s=Lh("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace(Lh("x",e,t,n),a,s)]}case"BroadcastTo":return[r.broadcastTo(Lh("x",e,t,n),Lh("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs(Lh("s0",e,t,n),Lh("s1",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n));case"hash_table":return(async(e,t,n,r)=>{switch(e.op){case"HashTable":case"HashTableV2":{const a=r.getHashTableHandleByName(e.name);if(null!=a)return[a];{const a=Lh("keyDType",e,t,n),s=Lh("valueDType",e,t,n),o=new Lf(a,s);return r.addHashTable(e.name,o),[o.handle]}}case"InitializeTable":case"InitializeTableV2":case"LookupTableImport":case"LookupTableImportV2":{const a=Lh("tableHandle",e,t,n,r),s=Lh("keys",e,t,n),o=Lh("values",e,t,n),i=r.getHashTableById(a.id);return[await i.import(s,o)]}case"LookupTableFind":case"LookupTableFindV2":{const a=Lh("tableHandle",e,t,n,r),s=Lh("keys",e,t,n),o=Lh("defaultValue",e,t,n),i=r.getHashTableById(a.id);return[await i.find(s,o)]}case"LookupTableSize":case"LookupTableSizeV2":{const a=Lh("tableHandle",e,t,n,r);return[r.getHashTableById(a.id).tensorSize()]}default:throw TypeError(`Node type ${e.op} is not implemented`)}})(e,t,n,r);case"custom":const s=Ph(e.op);if(s&&s.customExecutor)return s.customExecutor(new Cf(e,t,n));throw TypeError(`Custom op ${e.op} is not registered.`);default:throw TypeError(`Unknown op '${e.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return M(s)?s.then(e=>[].concat(e)):[].concat(s)}class Vf{constructor(e={},t={},n={},r={},a){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=r,this.parseNodeNameCache=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){const e=[];for(let t=0;t0===e.id&&0===e.iterationId?"":`${e.frameName}-${e.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()}nextIteration(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");{this.contexts=this.contexts.slice(),this.lastId++;const e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(const t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(const t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}}function Wf(e,t,n,r){const a=new Set,s=[];let o=null,i=null;const u=new Set,l=new Set(Object.keys(e).map(e=>Uh(e)[0]));r=r||[];const c=new Set(r.map(e=>Uh(e.name)[0])),d=[...t];for(;d.length>0;){const e=d.pop();(qf(e)||Kf(e)||Xf(e))&&null==o&&(o=e,i=o.children.map(e=>e.name).filter(e=>a.has(e))),a.add(e.name),null==n[e.name]&&(l.has(e.name)||c.has(e.name)||(0!==e.inputs.length?e.inputs.forEach(e=>{u.has(e.name)||(u.add(e.name),d.push(e))}):s.push(e.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:s,dynamicNode:o,syncInputs:i}}function zf(e,t){const{usedNodes:n,inputs:r}=t,a=Object.keys(r).map(e=>Uh(e)[0]).map(t=>e.nodes[t]),s=e.initNodes||[],o=e=>n.has("string"===typeof e?e:e.name);function i(e){return[...new Map(e.map(e=>[e.name,e])).values()]}const u=i([...a,...e.weights,...s]).filter(o),l=i([...u,...Object.values(e.nodes)]).filter(o),c=new Map(l.map(e=>[e.name,e])),d={};for(const m of l){d[m.name]=d[m.name]||0;for(const e of m.children)o(e)||(d[e.name]=Number.POSITIVE_INFINITY),d[e.name]=(d[e.name]||0)+1}const p=Object.entries(d).filter(([,e])=>0===e).map(([e])=>e),h=[...p];for(;p.length>0;){const e=p.pop(),t=c.get(e);for(const n of t.children.filter(o))0===--d[n.name]&&(h.push(n.name),p.push(n.name))}const f=function(e,t){const n=new Map(e.map(e=>[e.name,e])),r=t.map(e=>e.name),a=new Set(r);for(;r.length>0;){const e=r.pop(),t=n.get(e);for(const s of t.children)n.has(s.name)&&!a.has(s.name)&&(a.add(s.name),r.push(s.name))}const s=e.filter(e=>a.has(e.name));return s}(h.map(e=>c.get(e)),u);return function(e,t){const n=new Map(e.map((e,t)=>[e.name,t])),r=new Set(t.map(e=>e.name)),a=e=>r.has("string"===typeof e?e:e.name),s=new Set(e.map(e=>e.name)),o=e=>s.has("string"===typeof e?e:e.name);for(const i of e){for(const e of i.children.filter(o)){if(!n.has(e.name))throw new Uf(`Child ${e.name} of node ${i.name} is unreachable.`);if(n.get(i.name)>n.get(e.name))throw new Uf(`Node ${i.name} is scheduled to run after its child ${e.name}.`)}if(!a(i))for(const e of i.inputs){if(!n.has(e.name))throw new Uf(`Input ${e.name} of node ${i.name} is unreachable.`);if(n.get(e.name)>n.get(i.name))throw new Uf(`Node ${i.name} is scheduled to run before its input ${e.name}.`)}}}(f,u),f}class Uf extends Error{constructor(e){super(`NodesExecutionOrderError: ${e}`)}}const Gf=new Set(["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"]),Hf=new Set(["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"]),jf=new Set(["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"]);function qf(e){return Gf.has(e.op)}function Kf(e){return Hf.has(e.op)}function Xf(e){return jf.has(e.op)}class Yf{get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){const t=Object.keys(e).map(t=>e[t].map(e=>e.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{const t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this.parseNodeNameCache=new Map,this._weightMap={},this.SEPARATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,null!=e.functions&&Object.keys(e.functions).forEach(t=>{this._functionExecutorMap[t]=new Yf(e.functions[t],this)})}getCompilationKey(e,t){const n=e.map(e=>e.name).sort(),r=t.map(e=>e.name).sort();return n.join(this.SEPARATOR)+"--"+r.join(this.SEPARATOR)}compile(e,t){const n=Wf(e,t,this.weightMap,this._initNodes),{missingInputs:r,dynamicNode:a,syncInputs:s}=n;if(null!=a)throw new Error(`This execution contains the node '${a.name}', which has the dynamic op '${a.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(r.length>0){const n=t.map(e=>e.name),a=Object.keys(e);throw new Error(`Cannot compute the outputs [${n}] from the provided inputs [${a}]. Missing the following inputs: [${r}]`)}const o=zf(this.graph,n),i=function(e){const t=new Map(e.map((e,t)=>[e.name,t])),n=Number.MAX_SAFE_INTEGER,r=e.map((e,t)=>qf(e)?n:t),a=e=>r[t.get(e.name)]??-1,s=e.map((e,t)=>e.children.map(a).reduce((e,t)=>Math.max(e,t),r[t])),o=new Map;for(let i=0;ithis.cloneAndKeepTensor(e))}cloneTensorMap(e){return Object.fromEntries(Object.entries(e).map(([e,t])=>[e,this.cloneTensorList(t)]))}execute(e,t){this.disposeIntermediateTensors(),e=this.mapInputs(e);const n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);const r=n.map(e=>this.graph.nodes[Uh(e)[0]]),a=t.map(e=>Uh(e)[0]),s=new Set(a);let o=a.map(e=>this.graph.nodes[e]);0===o.length&&(o=this._outputs);const i=this.getCompilationKey(r,o);let u=this.compiledMap.get(i);null==u&&(u=this.compile(e,o),this.compiledMap.set(i,u));try{this.keepIntermediateTensors=V().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(d){this.keepIntermediateTensors=!1,console.warn(d.message)}const l={},c={};return Ba(()=>{const n=new Vf(this.weightMap,l,c,this.functionExecutorMap,this.parseNodeNameCache),r=Object.assign({},this.weightMap);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),Object.keys(e).forEach(t=>{const[a,s]=Uh(t,n),o=[];o[s]=e[t],r[a]=o,this.keepIntermediateTensors&&(this.clonedTensorsMap[a]=this.cloneTensorList(o))});const a=this.getFrozenTensorIds(r),{orderedNodes:o,nodeLiveUntilMap:i}=u;for(const e of o){if(r[e.name])continue;const t=Bf(e,r,n,this._resourceManager);if(M(t))throw new Error(`The execution of the op '${e.op}' returned a promise. Please use model.executeAsync() instead.`);r[e.name]=t,this.keepIntermediateTensors&&(this.clonedTensorsMap[e.name]=this.cloneTensorList(t)),this.checkTensorForDisposalWithNodeLiveUntilInfo(e,r,n,a,s,i.get(e.name))}return null==this.parent&&n.dispose(a),t.map(e=>Bh(e,r,n))})}getFrozenTensorIds(e){const t=[].concat.apply([],Object.keys(e).map(t=>e[t]).map(e=>e.map(e=>e.id)));return new Set(t)}checkTensorForDisposal(e,t,n,r,a,s,o){if(!qf(t)&&!s.has(e)){for(const r of n[e])null!=r&&(o[r.id]=(o[r.id]||0)+t.children.length);for(const e of t.inputs){if(qf(e))continue;const t=Vh(e.name,n,r);if(null!=t)for(const e of t){if(!e||e.kept||a.has(e.id))continue;const t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}}}}checkTensorForDisposalWithNodeLiveUntilInfo(e,t,n,r,a,s){function o(e){return qf(e)||a.has(e.name)}if(!qf(e)&&null!=s)for(const i of s){if(o(i))continue;const e=Vh(i.name,t,n);for(const t of e)!t||t.kept||r.has(t.id)||t.dispose()}}async executeAsync(e,t){return this._executeAsync(e,t)}disposeIntermediateTensors(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(e=>{for(const t of e)t&&!t.isDisposed&&t.dispose()}),this.clonedTensorsMap=null)}getIntermediateTensors(){return this.clonedTensorsMap}async _executeAsync(e,t,n=!1,r={},a={}){this.disposeIntermediateTensors(),n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=V().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(d){this.keepIntermediateTensors=!1,console.warn(d.message)}const s=new Vf(this.weightMap,r,a,this.functionExecutorMap,this.parseNodeNameCache);this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap));const o=await this.executeWithControlFlow(e,s,t,n),i=t.map(e=>Bh(e,o,s)),u=i.map(e=>e.id),l=Object.keys(e).map(t=>e[t].id),c=new Set([...u,...l,...this.weightIds]);return Object.values(o).forEach(e=>{e.forEach(e=>{!e||e.isDisposed||c.has(e.id)||e.dispose()})}),null==this.parent&&s.dispose(c),i}async executeFunctionAsync(e,t,n){const r=e.reduce((e,t,n)=>(e[this.inputs[n].name]=t,e),{});return this._executeAsync(r,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,r){const a=Object.keys(e),s=a.map(e=>this.graph.nodes[Uh(e)[0]]),o=n.map(e=>Uh(e)[0]),i=new Set(o);let u=o.map(e=>this.graph.nodes[e]);0===u.length&&(u=this._outputs);const{usedNodes:l,missingInputs:c,dynamicNode:d,syncInputs:p}=Wf(e,u,this.weightMap,this._initNodes),h=[...s,...this.graph.weights,...this._initNodes||[]].map(e=>({node:e,contexts:t.currentContext})),f=Object.assign({},this.weightMap);Object.keys(e).forEach(t=>{const[n,r]=Uh(t),a=[];a[r]=e[t],f[n]=a});const m={},g=this.getFrozenTensorIds(f),y={};for(;h.length>0;){const e=this.processStack(s,h,t,f,y,g,i,m,l);await Promise.all(e)}null!=d||r||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");const b=u.filter(e=>!qf(e)&&!Bh(e.name,f,t)).map(e=>e.name);if(b.length>0){let e="";throw null!=d&&(e=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${p}]`),new Error(`Cannot compute the outputs [${b}] from the provided inputs [${a}]. Consider providing the following inputs: [${c}]. ${e}`)}return f}processStack(e,t,n,r,a,s,o,i,u){const l=[];for(;t.length>0;){const e=t.pop();n.currentContext=e.contexts;let c="";if("Enter"===e.node.op&&Lh("isConstant",e.node,r,n)&&([c]=Wh(e.node.name,n)),null==r[e.node.name]){const d=Bf(e.node,r,n,this._resourceManager);c||([c]=Wh(e.node.name,n));const p=n.currentContext;M(d)?l.push(d.then(l=>(r[c]=l,this.keepIntermediateTensors&&(this.clonedTensorsMap[c]=this.cloneTensorList(l)),n.currentContext=p,this.checkTensorForDisposal(c,e.node,r,n,s,o,i),this.processChildNodes(e.node,t,n,r,a,u),l))):(r[c]=d,this.keepIntermediateTensors&&(this.clonedTensorsMap[c]=this.cloneTensorList(d)),this.checkTensorForDisposal(c,e.node,r,n,s,o,i),this.processChildNodes(e.node,t,n,r,a,u))}else this.processChildNodes(e.node,t,n,r,a,u)}return l}processChildNodes(e,t,n,r,a,s){e.children.forEach(e=>{const[o]=Wh(e.name,n);!a[o]&&s.has(e.name)&&("Merge"===e.op?e.inputNames.some(e=>!!Bh(e,r,n))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every(e=>!!Bh(e,r,n))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(e=>e.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{const n=e[t],[r]=Uh(t),a=this.graph.nodes[r];if(a.attrParams.shape&&a.attrParams.shape.value){const e=a.attrParams.shape.value;i(e.length===n.shape.length&&n.shape.every((t,n)=>-1===e[n]||e[n]===t),()=>`The shape of dict['${a.name}'] provided in model.execute(dict) must be [${e}], but was [${n.shape}]`)}a.attrParams.dtype&&a.attrParams.dtype.value&&i(n.dtype===a.attrParams.dtype.value,()=>`The dtype of dict['${a.name}'] provided in model.execute(dict) must be ${a.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){var t,n;const r={};for(const a in e){const s=null===(n=null===(t=this._signature)||void 0===t?void 0:t.inputs)||void 0===n?void 0:n[a];null!=s?r[s.name]=e[a]:r[a]=e[a]}return r}checkInputs(e){const t=Object.keys(e).filter(e=>{const[t]=Uh(e);return null==this.graph.nodes[t]});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(e=>{var t,n;const r=null===(n=null===(t=this._signature)||void 0===t?void 0:t.outputs)||void 0===n?void 0:n[e];return null!=r?r.name:e},{})}checkOutputs(e){e.forEach(e=>{const[t]=Uh(e);if(!this.graph.nodes[t])throw new Error(`The output '${e}' is not found in the graph`)})}}class Qf{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(const e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(const e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}}const Zf="?tfjs-format=file",Jf="model.json";class em{get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}get modelStructuredOutputKeys(){return this.structuredOutputKeys}constructor(e,t={},n=mp){this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,null==t&&(this.loadOptions={}),this.resourceManager=new Qf}findIOHandler(){const e=this.modelUrl;if(null!=e.load)this.handler=e;else 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null!==e&&e.apply(this,arguments)||this}return im(t,e),t.prototype.preprocessInput=function(e){return Ba(function(){return uu(Us(e,127.5),1)})},t.prototype.nameOutputResults=function(e){return{offsets:e[0],segmentation:e[1],partHeatmaps:e[2],longOffsets:e[3],heatmap:e[4],displacementFwd:e[5],displacementBwd:e[6],partOffsets:e[7]}},t}(xm),wm=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],km=wm.length,Im=wm.reduce(function(e,t,n){return e[t]=n,e},{});function Nm(e,t,n){var r=e[0],a=e[1],s=t[0],o=t[1],i=n.top,u=n.bottom;return[o/(n.left+n.right+a),s/(i+u+r)]}function Sm(e,t,n,r){return{y:r.get(e,t,n),x:r.get(e,t,n+km)}}function Tm(e,t,n){var r=Sm(e.heatmapY,e.heatmapX,e.id,n),a=r.y,s=r.x;return{x:e.heatmapX*t+s,y:e.heatmapY*t+a}}function Cm(e,t,n){return en?n:e}function $m(e,t){return{x:e.x+t.x,y:e.y+t.y}}function Em(e,t,n){void 0===n&&(n=.3);for(var r=0,a=0,s=0;sn&&(a+=1,r+=Math.pow(e[s].x-t.keypoints[s].position.x,2)+Math.pow(e[s].y-t.keypoints[s].position.y,2));return 0===a?r=1/0:r/=a,r}function Rm(e,t,n,r,a,s,o){for(var i=o[0],u=o[1],l=n(e),c=l.y*r+l.x,d=a[km*(2*c)+t],p=a[km*(2*c+1)+t],h=e.y+d,f=e.x+p,m=0;m "+l+") {\n numKpt = numKpt + 1;\n curDistSum = curDistSum + dist(x, y, poseX, poseY);\n }\n }\n if (numKpt > 0 && curDistSum / float(numKpt) < minDist) {\n minDist = curDistSum / float(numKpt);\n iMin = i;\n }\n }\n return iMin;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int nearestPose = findNearestPose(coords[0], coords[1]);\n setOutput(float(nearestPose));\n }\n "};return Ha().compileAndRun(O,[e,x,R])}function Fm(){return"webgl"===Ua()}function Dm(e,t,n,r,a,s,o,i,u,l,c,d){var p=o[0],h=o[1];return void 0===u&&(u=.2),void 0===l&&(l=8),void 0===c&&(c=.3),void 0===d&&(d=10),lm(this,0,void 0,function(){var o,f,m,g,y;return cm(this,function(b){switch(b.label){case 0:return o=n.filter(function(e){return e.score>=u}),Fm()?(m=Ba(function(){var n=Om(e,t,o,r,a,s,[p,h],i,l,c,d),u=La().makeTensorFromDataId(n.dataId,n.shape,n.dtype);return o.map(function(e,t){return n=u,r=t,Ba(function(){return Ls(ci(n,Ri(r)),"int32")});var n,r})}),[4,Promise.all(m.map(function(e){return e.data()}))]):[3,2];case 1:return f=b.sent(),m.forEach(function(e){return e.dispose()}),[3,5];case 2:return[4,e.data()];case 3:return g=b.sent(),[4,t.data()];case 4:y=b.sent(),f=function(e,t,n,r,a,s,o,i,u,l){var c=o[0],d=o[1];void 0===l&&(l=5);for(var p=n.map(function(e){return new Uint8Array(r*a).fill(0)}),h=i.top,f=i.left,m=Nm([r,a],[c,d],i),g=m[0],y=m[1],b=Am([c,d],s)[0],x=0;x=0&&(p[k][w]=1)}}return p}(g,y,o,r,a,s,[p,h],i,l),b.label=5;case 5:return[2,f.map(function(e,t){return{data:e,pose:o[t],width:a,height:r}})]}})})}function Mm(e,t,n,r,a,s,o,i,u,l,c,d,p){var h=i[0],f=i[1];return void 0===l&&(l=.2),void 0===c&&(c=8),void 0===d&&(d=.3),void 0===p&&(p=10),lm(this,0,void 0,function(){var i,m,g,y,b,x;return cm(this,function(v){switch(v.label){case 0:return i=r.filter(function(e){return e.score>=l}),Fm()?(g=Ba(function(){var r=Om(e,t,i,a,s,o,[h,f],u,c,d,p),l=La().makeTensorFromDataId(r.dataId,r.shape,r.dtype);return i.map(function(e,t){return r=l,a=n,s=t,Ba(function(){return uu(Gs(Ls(ci(r,Ri(s)),"int32"),Ws(a,1)),1)});var r,a,s})}),[4,Promise.all(g.map(function(e){return e.data()}))]):[3,2];case 1:return m=v.sent(),g.forEach(function(e){return e.dispose()}),[3,6];case 2:return[4,e.data()];case 3:return y=v.sent(),[4,t.data()];case 4:return b=v.sent(),[4,n.data()];case 5:x=v.sent(),m=function(e,t,n,r,a,s,o,i,u,l,c){var d=i[0],p=i[1];void 0===c&&(c=5);for(var h=r.map(function(e){return new Int32Array(a*s).fill(-1)}),f=u.top,m=u.left,g=Nm([a,s],[d,p],u),y=g[0],b=g[1],x=Am([d,p],o)[0],v=0;v=0&&(h[I][k]=n[k])}}return h}(y,b,x,i,a,s,o,[h,f],u,c),v.label=6;case 6:return[2,m.map(function(e,t){return{pose:i[t],data:e,height:a,width:s}})]}})})}function Pm(e){return Math.floor(e/2)}[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]].map(function(e){var t=e[0],n=e[1];return[Im[t],Im[n]]});var Lm=function(){function e(e,t){this.priorityQueue=new Array(e),this.numberOfElements=-1,this.getElementValue=t}return e.prototype.enqueue=function(e){this.priorityQueue[++this.numberOfElements]=e,this.swim(this.numberOfElements)},e.prototype.dequeue=function(){var e=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,e},e.prototype.empty=function(){return-1===this.numberOfElements},e.prototype.size=function(){return this.numberOfElements+1},e.prototype.all=function(){return this.priorityQueue.slice(0,this.numberOfElements+1)},e.prototype.max=function(){return this.priorityQueue[0]},e.prototype.swim=function(e){for(;e>0&&this.less(Pm(e),e);)this.exchange(e,Pm(e)),e=Pm(e)},e.prototype.sink=function(e){for(;2*e<=this.numberOfElements;){var t=2*e;if(tt){l=!1;break}if(!l)break}return l}var Vm=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]].map(function(e){var t=e[0],n=e[1];return[Im[t],Im[n]]}),Wm=Vm.map(function(e){return e[1]}),zm=Vm.map(function(e){return e[0]});function Um(e,t,n,r){return{y:Cm(Math.round(e.y/t),0,n-1),x:Cm(Math.round(e.x/t),0,r-1)}}function Gm(e,t,n,r,a,s,o,i){void 0===i&&(i=2);for(var u=r.shape,l=u[0],c=u[1],d=function(e,t,n){var r=n.shape[2]/2;return{y:n.get(t.y,t.x,e),x:n.get(t.y,t.x,r+e)}}(e,Um(t.position,s,l,c),o),p=$m(t.position,d),h=0;h=0;--p){var h=Wm[p],f=zm[p];u[h]&&!u[f]&&(u[f]=Gm(p,u[h],f,t,n,r,s))}for(p=0;p=.1,function(){return"inputResolution must be a string or number between 0.1 and 2, but was "+e}),e}(e);return[tg(r*s,t),tg(a*s,t)]}function sg(e,t,n,r,a){var s=t[0],o=t[1],i=n[0],u=n[1],l=r[0],c=l[0],d=l[1],p=r[1],h=p[0],f=p[1];return Ba(function(){var t=Md.resizeBilinear(e,[i,u],!0);return function(e,t,n){var r=t[0],a=t[1],s=n[0],o=s[0],i=s[1],u=n[1],l=u[0],c=u[1];return Ba(function(){var t=Li(e);return Jl(Md.cropAndResize(t,[[o/(r+o+i-1),l/(a+l+c-1),(o+r-1)/(r+o+i-1),(l+a-1)/(a+l+c-1)]],[0],[r,a]),[0])})}(t=So(t),[s,o],[[c,d],[h,f]])})}function og(e,t){var n=t[0],r=t[1],a=eg(e),s=a[0],o=a[1],i=r/n,u=[0,0,0,0],l=u[0],c=u[1],d=u[2],p=u[3];return o/s1)throw new Error("segmentationThreshold "+t+". Should be in range [0.0, 1.0]");if(n<=0)throw new Error("Invalid maxDetections "+n+". Should be > 0");if(r<0||r>1)throw new Error("Invalid scoreThreshold "+r+". Should be in range [0.0, 1.0]");if(a<=0)throw new Error("Invalid nmsRadius "+a+".")}function yg(e){var t=e.segmentationThreshold,n=e.maxDetections,r=e.scoreThreshold,a=e.nmsRadius,s=e.minKeypointScore,o=e.refineSteps;if(t<0||t>1)throw new Error("segmentationThreshold "+t+". Should be in range [0.0, 1.0]");if(n<=0)throw new Error("Invalid maxDetections "+n+". Should be > 0");if(r<0||r>1)throw new Error("Invalid scoreThreshold "+r+". Should be in range [0.0, 1.0]");if(a<=0)throw new Error("Invalid nmsRadius "+a+".");if(s<0||s>1)throw new Error("Invalid minKeypointScore "+s+".Should be in range [0.0, 1.0]");if(o<=0||o>20)throw new Error("Invalid refineSteps "+o+".Should be in range [1, 20]")}var bg=function(){function e(e){this.baseModel=e}return e.prototype.predictForPersonSegmentation=function(e){var t=this.baseModel.predict(e);return{segmentLogits:t.segmentation,heatmapScores:t.heatmapScores,offsets:t.offsets,displacementFwd:t.displacementFwd,displacementBwd:t.displacementBwd}},e.prototype.predictForPersonSegmentationAndPart=function(e){var t=this.baseModel.predict(e);return{segmentLogits:t.segmentation,partHeatmapLogits:t.partHeatmaps,heatmapScores:t.heatmapScores,offsets:t.offsets,displacementFwd:t.displacementFwd,displacementBwd:t.displacementBwd}},e.prototype.predictForMultiPersonInstanceSegmentationAndPart=function(e){var t=this.baseModel.predict(e);return{segmentLogits:t.segmentation,longOffsets:t.longOffsets,heatmapScores:t.heatmapScores,offsets:t.offsets,displacementFwd:t.displacementFwd,displacementBwd:t.displacementBwd,partHeatmaps:t.partHeatmaps}},e.prototype.segmentPersonActivation=function(e,t,n){var r=this;void 0===n&&(n=.5);var a=eg(e),s=a[0],o=a[1],i=ag(t,this.baseModel.outputStride,[s,o]),u=og(e,i),l=u.resized,c=u.padding,d=Ba(function(){var e=r.predictForPersonSegmentation(l),t=e.segmentLogits,a=e.heatmapScores,i=e.offsets,u=e.displacementFwd,d=e.displacementBwd,p=l.shape,h=p[0],f=p[1],m=sg(t,[s,o],[h,f],[[c.top,c.bottom],[c.left,c.right]]);return{segmentation:ym(Jl(m),n),heatmapScores:a,offsets:i,displacementFwd:u,displacementBwd:d}}),p=d.segmentation,h=d.heatmapScores,f=d.offsets,m=d.displacementFwd,g=d.displacementBwd;return l.dispose(),{segmentation:p,heatmapScores:h,offsets:f,displacementFwd:m,displacementBwd:g,padding:c,internalResolutionHeightAndWidth:i}},e.prototype.segmentPerson=function(e,t){return void 0===t&&(t=fg),lm(this,0,void 0,function(){var n,r,a,s,o,i,u,l,c,d,p,h,f,m,g,y,b,x;return cm(this,function(v){switch(v.label){case 0:return gg(t=um(um({},fg),t)),n=this.segmentPersonActivation(e,t.internalResolution,t.segmentationThreshold),r=n.segmentation,a=n.heatmapScores,s=n.offsets,o=n.displacementFwd,i=n.displacementBwd,u=n.padding,l=n.internalResolutionHeightAndWidth,c=r.shape,d=c[0],p=c[1],[4,r.data()];case 1:return h=v.sent(),r.dispose(),[4,ig([a,s,o,i])];case 2:return f=v.sent(),m=f[0],g=f[1],y=f[2],b=f[3],x=ug(x=Km(m,g,y,b,this.baseModel.outputStride,t.maxDetections,t.scoreThreshold,t.nmsRadius),[d,p],l,u,!1),a.dispose(),s.dispose(),o.dispose(),i.dispose(),[2,{height:d,width:p,data:h,allPoses:x}]}})})},e.prototype.segmentMultiPerson=function(e,t){return void 0===t&&(t=mg),lm(this,0,void 0,function(){var n,r,a,s,o,i,u,l,c,d,p,h,f,m,g,y,b,x,v,w,k,I=this;return cm(this,function(N){switch(N.label){case 0:return yg(t=um(um({},mg),t)),n=eg(e),r=n[0],a=n[1],s=ag(t.internalResolution,this.baseModel.outputStride,[r,a]),o=og(e,s),i=o.resized,u=o.padding,l=Ba(function(){var e,n=I.predictForMultiPersonInstanceSegmentationAndPart(i),o=n.segmentLogits,l=n.longOffsets,c=n.heatmapScores,d=n.offsets,p=n.displacementFwd,h=n.displacementBwd,f=sg(o,[r,a],s,[[u.top,u.bottom],[u.left,u.right]]);return e=l,{segmentation:ym(Jl(f),t.segmentationThreshold),longOffsets:e,heatmapScoresRaw:c,offsetsRaw:d,displacementFwdRaw:p,displacementBwdRaw:h}}),c=l.segmentation,d=l.longOffsets,p=l.heatmapScoresRaw,h=l.offsetsRaw,f=l.displacementFwdRaw,m=l.displacementBwdRaw,[4,ig([p,h,f,m])];case 1:return g=N.sent(),y=g[0],b=g[1],x=g[2],v=g[3],w=ug(w=Km(y,b,x,v,this.baseModel.outputStride,t.maxDetections,t.scoreThreshold,t.nmsRadius),[r,a],s,u,!1),[4,Dm(c,d,w,r,a,this.baseModel.outputStride,s,u,t.scoreThreshold,t.refineSteps,t.minKeypointScore,t.maxDetections)];case 2:return k=N.sent(),i.dispose(),c.dispose(),d.dispose(),p.dispose(),h.dispose(),f.dispose(),m.dispose(),[2,k]}})})},e.prototype.segmentPersonPartsActivation=function(e,t,n){var r=this;void 0===n&&(n=.5);var a=eg(e),s=a[0],o=a[1],i=ag(t,this.baseModel.outputStride,[s,o]),u=og(e,i),l=u.resized,c=u.padding,d=Ba(function(){var e=r.predictForPersonSegmentationAndPart(l),t=e.segmentLogits,a=e.partHeatmapLogits,i=e.heatmapScores,u=e.offsets,d=e.displacementFwd,p=e.displacementBwd,h=l.shape,f=h[0],m=h[1],g=sg(t,[s,o],[f,m],[[c.top,c.bottom],[c.left,c.right]]),y=sg(a,[s,o],[f,m],[[c.top,c.bottom],[c.left,c.right]]);return{partSegmentation:bm(ym(Jl(g),n),y),heatmapScores:i,offsets:u,displacementFwd:d,displacementBwd:p}}),p=d.partSegmentation,h=d.heatmapScores,f=d.offsets,m=d.displacementFwd,g=d.displacementBwd;return l.dispose(),{partSegmentation:p,heatmapScores:h,offsets:f,displacementFwd:m,displacementBwd:g,padding:c,internalResolutionHeightAndWidth:i}},e.prototype.segmentPersonParts=function(e,t){return void 0===t&&(t=fg),lm(this,0,void 0,function(){var n,r,a,s,o,i,u,l,c,d,p,h,f,m,g,y,b,x;return cm(this,function(v){switch(v.label){case 0:return gg(t=um(um({},fg),t)),n=this.segmentPersonPartsActivation(e,t.internalResolution,t.segmentationThreshold),r=n.partSegmentation,a=n.heatmapScores,s=n.offsets,o=n.displacementFwd,i=n.displacementBwd,u=n.padding,l=n.internalResolutionHeightAndWidth,c=r.shape,d=c[0],p=c[1],[4,r.data()];case 1:return h=v.sent(),r.dispose(),[4,ig([a,s,o,i])];case 2:return f=v.sent(),m=f[0],g=f[1],y=f[2],b=f[3],x=ug(x=Km(m,g,y,b,this.baseModel.outputStride,t.maxDetections,t.scoreThreshold,t.nmsRadius),[d,p],l,u,!1),a.dispose(),s.dispose(),o.dispose(),i.dispose(),[2,{height:d,width:p,data:h,allPoses:x}]}})})},e.prototype.segmentMultiPersonParts=function(e,t){return void 0===t&&(t=mg),lm(this,0,void 0,function(){var n,r,a,s,o,i,u,l,c,d,p,h,f,m,g,y,b,x,v,w,k,I,N=this;return cm(this,function(S){switch(S.label){case 0:return yg(t=um(um({},mg),t)),n=eg(e),r=n[0],a=n[1],s=ag(t.internalResolution,this.baseModel.outputStride,[r,a]),o=og(e,s),i=o.resized,u=o.padding,l=Ba(function(){var e=N.predictForMultiPersonInstanceSegmentationAndPart(i),n=e.segmentLogits,o=e.longOffsets,l=e.heatmapScores,c=e.offsets,d=e.displacementFwd,p=e.displacementBwd,h=e.partHeatmaps,f=sg(n,[r,a],s,[[u.top,u.bottom],[u.left,u.right]]),m=sg(h,[r,a],s,[[u.top,u.bottom],[u.left,u.right]]),g=o;return{segmentation:ym(Jl(f),t.segmentationThreshold),longOffsets:g,heatmapScoresRaw:l,offsetsRaw:c,displacementFwdRaw:d,displacementBwdRaw:p,partSegmentation:function(e){var t=e.shape,n=t[0],r=t[1],a=t[2];return Ba(function(){var t=gm(e),s=Li(Nl(0,a,1,"int32"),1),o=Ls(No(t,s),"int32");return vo(o,[n,r])})}(m)}}),c=l.segmentation,d=l.longOffsets,p=l.heatmapScoresRaw,h=l.offsetsRaw,f=l.displacementFwdRaw,m=l.displacementBwdRaw,g=l.partSegmentation,[4,ig([p,h,f,m])];case 1:return y=S.sent(),b=y[0],x=y[1],v=y[2],w=y[3],k=ug(k=Km(b,x,v,w,this.baseModel.outputStride,t.maxDetections,t.scoreThreshold,t.nmsRadius),[r,a],s,u,!1),[4,Mm(c,d,g,k,r,a,this.baseModel.outputStride,s,u,t.scoreThreshold,t.refineSteps,t.minKeypointScore,t.maxDetections)];case 2:return I=S.sent(),i.dispose(),c.dispose(),d.dispose(),p.dispose(),h.dispose(),f.dispose(),m.dispose(),g.dispose(),[2,I]}})})},e.prototype.dispose=function(){this.baseModel.dispose()},e}();function xg(e){return lm(this,0,void 0,function(){var t,n,r,a,s,o;return cm(this,function(i){switch(i.label){case 0:if(t=e.outputStride,n=e.quantBytes,r=e.multiplier,null==Ah)throw new Error("Cannot find TensorFlow.js. If you are using a