diff --git "a/assets/index-CgXsdcRA.js" "b/assets/index-CgXsdcRA.js"
new file mode 100644--- /dev/null
+++ "b/assets/index-CgXsdcRA.js"
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s=o.dehydrated;if(Po(t),a){if(t.flags&256)t.flags&=-257,t=Uc(e,t,n);else if(t.memoizedState!==null)t.child=e.child,t.flags|=128,t=null;else throw Error(i(558))}else if(Fc||Ta(e,t,n,!1),a=(n&e.childLanes)!==0,Fc||a){if(Eo.current===null){if(r=ed,r!==null&&(s=Ct(r,n),s!==0&&s!==o.retryLane))throw o.retryLane=s,Ni(e,s),Ld(r,e,s),Pc;Yd()}t=Uc(e,t,n)}else e=o.treeContext,ua=pm(s.nextSibling),la=t,P=!0,da=null,fa=!1,e!==null&&ca(t,e),t=Hc(t,r),t.flags|=134221824;return t}return e=Bi(e.child,{mode:r.mode,children:r.children}),e.ref=t.ref,t.child=e,e.return=t,e}function Gc(e,t){var n=t.ref;if(n===null)e!==null&&e.ref!==null&&(t.flags|=4194816);else{if(typeof n!=`function`&&typeof n!=`object`)throw Error(i(284));(e===null||e.ref!==n)&&(t.flags|=4194816)}}function Kc(e,t,n,r,i){return Da(t),n=es(e,t,n,r,void 0,i),r=is(),e!==null&&!Fc?(as(e,t,i),ul(e,t,i)):(P&&r&&oa(t),t.flags|=1,Ic(e,t,n,i),t.child)}function qc(e,t,n,r,i,a){return 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t.flags&256?(No(t),t.flags&=-257,nl(e,t,c)):t.memoizedState===null?(Io(),o=a.fallback,s=t.mode,a=tl({mode:`visible`,children:a.children},s),o=Ui(o,s,c,null),o.flags|=2,a.return=t,o.return=t,a.sibling=o,t.child=a,po(t,e.child,null,c),a=t.child,a.memoizedState=Zc(c),a.childLanes=Qc(e,r,c),t.memoizedState=Xc,H(null,a)):(Io(),t.child=e.child,t.flags|=128,null);if(No(t),dm(o)){if(r=o.nextSibling&&o.nextSibling.dataset,r)var l=r.dgst;return r=l,r!==``&&(a=Error(i(419)),a.stack=``,a.digest=r,ba({value:a,source:null,stack:null})),nl(e,t,c)}if(Fc||Ta(e,t,c,!1),r=(c&e.childLanes)!==0,Fc||r){if(Eo.current!==null)return nl(e,t,c);if(r=ed,r!==null&&(a=Ct(r,c),a!==0&&a!==s.retryLane))throw s.retryLane=a,Ni(e,a),Ld(r,e,a),Pc;return um(o)||Yd(),nl(e,t,c)}return um(o)?(t.flags|=192,t.child=e.child,null):(e=s.treeContext,ua=pm(o.nextSibling),la=t,P=!0,da=null,fa=!1,e!==null&&ca(t,e),t=el(t,a.children),t.flags|=134221824,t)}function il(e,t,n){e.lanes|=t;var 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null}if(e!==null&&t.child!==e.child)throw Error(i(153));if(t.child!==null){for(e=t.child,n=Bi(e,e.pendingProps),t.child=n,n.return=t;e.sibling!==null;)e=e.sibling,n=n.sibling=Bi(e,e.pendingProps),n.return=t;n.sibling=null}return t.child}function dl(e,t){return(e.lanes&t)!==0||(e=e.dependencies,!!(e!==null&&Ea(e)))}function fl(e,t,n){switch(t.tag){case 3:Ne(t,t.stateNode.containerInfo),I(t,Pa,e.memoizedState.cache),va();break;case 27:case 5:Fe(t);break;case 4:Ne(t,t.stateNode.containerInfo);break;case 10:I(t,t.type,t.memoizedProps.value);break;case 31:if(t.memoizedState!==null)return t.flags|=128,Po(t),null;break;case 13:var r=t.memoizedState;if(r!==null){if(r.dehydrated!==null)return No(t),t.flags|=128,null;r=Ta(e,t,n,!1);var i=t.child.childLanes;return r||(n&i)!==0?$c(e,t,n):(No(t),e=ul(e,t,n),e===null?null:e.sibling)}No(t);break;case 19:if(t.flags&128)return cl(e,t,n);if(i=!!(e.flags&128),r=(n&t.childLanes)!==0,r||=(Ta(e,t,n,!1),(n&t.childLanes)!==0),i){if(r)return cl(e,t,n);t.flags|=128}if(i=t.memoizedState,i!==null&&(i.rendering=null,i.tail=null,i.lastEffect=null),zo(t,Ro.current),r)break;return null;case 22:return t.lanes=0,Bc(e,t,n,t.pendingProps);case 24:I(t,Pa,e.memoizedState.cache)}return ul(e,t,n)}function pl(e,t,n){if(e!==null){if(e.memoizedProps!==t.pendingProps)Fc=!0;else{if(!dl(e,n)&&!(t.flags&128))return Fc=!1,fl(e,t,n);Fc=!!(e.flags&131072)}}else Fc=!1,P&&t.flags&1048576&&aa(t,Qi,t.index);switch(t.lanes=0,t.tag){case 16:a:{var r=t.pendingProps;if(e=ro(t.elementType),t.type=e,typeof e==`function`)zi(e)?(r=wc(e,r),t.tag=1,t=Jc(null,t,e,r,n)):(t.tag=0,t=Kc(null,t,e,r,n));else{if(e!=null){var a=e.$$typeof;if(a===se){t.tag=11,t=Lc(null,t,e,r,n);break a}if(a===ue){t.tag=14,t=Rc(null,t,e,r,n);break a}if(a===oe){t.tag=10,t.type=e,t=ll(null,t,n);break a}}throw t=be(e)||e,Error(i(306,t,``))}}return t;case 0:return Kc(e,t,t.type,t.pendingProps,n);case 1:return r=t.type,a=wc(r,t.pendingProps),Jc(e,t,r,a,n);case 3:a:{if(Ne(t,t.stateNode.containerInfo),e===null)throw Error(i(387));r=t.pendingProps;var o=t.memoizedState;a=o.element,_o(e,t),Co(t,r,null,n);var s=t.memoizedState;if(r=s.cache,I(t,Pa,r),r!==o.cache&&wa(t,[Pa],n,!0),So(),r=s.element,o.isDehydrated){if(o={element:r,isDehydrated:!1,cache:s.cache},t.updateQueue.baseState=o,t.memoizedState=o,t.flags&256){t=Yc(e,t,r,n);break a}if(r!==a){a=Ji(Error(i(424)),t),ba(a),t=Yc(e,t,r,n);break a}switch(e=t.stateNode.containerInfo,e.nodeType){case 9:e=e.body;break;default:e=e.nodeName===`HTML`?e.ownerDocument.body:e}for(ua=pm(e.firstChild),la=t,P=!0,da=null,fa=!0,n=mo(t,null,r,n),t.child=n;n;)n.flags=n.flags&-3|134221824,n=n.sibling}else{if(va(),r===a){t=ul(e,t,n);break a}Ic(e,t,r,n)}t=t.child}return t;case 26:return Gc(e,t),e===null?(n=Lm(t.type,null,t.pendingProps,null))?t.memoizedState=n:P||(t.stateNode=gp(t.type,t.pendingProps,je.current,t)):t.memoizedState=Lm(t.type,e.memoizedProps,t.pendingProps,e.memoizedState),null;case 27:return Fe(t),e===null&&P&&(r=t.stateNode=ym(t.type,t.pendingProps,je.current),la=t,fa=!0,a=ua,Ep(t.type)?(mm=a,ua=pm(r.firstChild)):ua=a),Ic(e,t,t.pendingProps.children,n),Gc(e,t),e===null&&(t.flags|=4194304),t.child;case 5:return e===null&&P&&((a=r=ua)&&(r=sm(r,t.type,t.pendingProps,fa),r===null?a=!1:(t.stateNode=r,la=t,ua=pm(r.firstChild),fa=!1,a=!0)),a||ma(t)),Fe(t),a=t.type,o=t.pendingProps,s=e===null?null:e.memoizedProps,r=o.children,_p(a,o)?r=null:s!==null&&_p(a,s)&&(t.flags|=32),t.memoizedState!==null&&(a=es(e,t,rs,null,null,n),dh._currentValue=a),Gc(e,t),Ic(e,t,r,n),t.child;case 6:return e===null&&P&&((e=n=ua)&&(n=cm(n,t.pendingProps,fa),n===null?e=!1:(t.stateNode=n,la=t,ua=null,e=!0)),e||ma(t)),null;case 13:return $c(e,t,n);case 4:return Ne(t,t.stateNode.containerInfo),r=t.pendingProps,e===null?t.child=po(t,null,r,n):Ic(e,t,r,n),t.child;case 11:return Lc(e,t,t.type,t.pendingProps,n);case 7:return r=t.pendingProps,Gc(e,t),Ic(e,t,r,n),t.child;case 8:return Ic(e,t,t.pendingProps.children,n),t.child;case 12:return Ic(e,t,t.pendingProps.children,n),t.child;case 10:return ll(e,t,n);case 9:return a=t.type._context,r=t.pendingProps.children,Da(t),a=Oa(a),r=r(a),t.flags|=1,Ic(e,t,r,n),t.child;case 14:return Rc(e,t,t.type,t.pendingProps,n);case 15:return zc(e,t,t.type,t.pendingProps,n);case 19:return cl(e,t,n);case 31:return Wc(e,t,n);case 22:return Bc(e,t,n,t.pendingProps);case 24:return Da(t),r=Oa(Pa),e===null?(a=Ya(),a===null&&(a=ed,o=Fa(),a.pooledCache=o,o.refCount++,o!==null&&(a.pooledCacheLanes|=n),a=o),t.memoizedState={parent:r,cache:a},go(t),I(t,Pa,a)):((e.lanes&n)!==0&&(_o(e,t),Co(t,null,null,n),So()),a=e.memoizedState,o=t.memoizedState,a.parent===r?(r=o.cache,I(t,Pa,r),r!==a.cache&&wa(t,[Pa],n,!0)):(a={parent:r,cache:r},t.memoizedState=a,t.lanes===0&&(t.memoizedState=t.updateQueue.baseState=a),I(t,Pa,r))),Ic(e,t,t.pendingProps.children,n),t.child;case 30:return t.stateNode===null&&(t.stateNode={autoName:null,paired:null,clones:null,ref:null}),r=t.pendingProps,r.name!=null&&r.name!==`auto`?t.flags|=e===null?18882560:18874368:P&&oa(t),e!==null&&e.memoizedProps.name!==r.name?t.flags|=4194816:Gc(e,t),Ic(e,t,r.children,n),t.child;case 29:throw t.pendingProps}throw Error(i(156,t.tag))}function ml(e){e.flags|=4}function hl(e,t,n,r,i){var a;if((a=!!(e.mode&32))&&(a=n===null?Qm(t,r):Qm(t,r)&&(r.src!==n.src||r.srcSet!==n.srcSet)),a){if(e.flags|=16777216,(i&335544128)===i){if(e.stateNode.complete)e.flags|=8192;else if(Kd())e.flags|=8192;else throw io=R,$a}}else e.flags&=-16777217}function gl(e,t){if(t.type!==`stylesheet`||t.state.loading&4)e.flags&=-16777217;else if(e.flags|=16777216,!$m(t)){if(Kd())e.flags|=8192;else throw io=R,$a}}function _l(e,t){t!==null&&(e.flags|=4),e.flags&16384&&(t=e.tag===22?536870912:_t(),e.lanes|=t,pd|=t)}function vl(e,t){if(!P)switch(e.tailMode){case`visible`:break;case`collapsed`:for(var n=e.tail,r=null;n!==null;)n.alternate!==null&&(r=n),n=n.sibling;r===null?t||e.tail===null?e.tail=null:e.tail.sibling=null:r.sibling=null;break;default:for(t=e.tail,n=null;t!==null;)t.alternate!==null&&(n=t),t=t.sibling;n===null?e.tail=null:n.sibling=null}}function yl(e){var t=e.alternate!==null&&e.alternate.child===e.child,n=0,r=0;if(t)for(var i=e.child;i!==null;)n|=i.lanes|i.childLanes,r|=i.subtreeFlags&1206910976,r|=i.flags&1206910976,i.return=e,i=i.sibling;else for(i=e.child;i!==null;)n|=i.lanes|i.childLanes,r|=i.subtreeFlags,r|=i.flags,i.return=e,i=i.sibling;return e.subtreeFlags|=r,e.childLanes=n,t}function bl(e,t,n){var r=t.pendingProps;switch(sa(t),t.tag){case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return yl(t),null;case 1:return yl(t),null;case 3:return n=t.stateNode,r=null,e!==null&&(r=e.memoizedState.cache),t.memoizedState.cache!==r&&(t.flags|=2048),Ca(Pa),Pe(),n.pendingContext&&(n.context=n.pendingContext,n.pendingContext=null),(e===null||e.child===null)&&(_a(t)?ml(t):e===null||e.memoizedState.isDehydrated&&!(t.flags&256)||(t.flags|=1024,ya())),yl(t),null;case 26:var a=t.type,o=t.memoizedState;return e===null?(ml(t),o===null?(yl(t),hl(t,a,null,r,n)):(yl(t),gl(t,o))):o?o===e.memoizedState?(yl(t),t.flags&=-16777217):(ml(t),yl(t),gl(t,o)):(e=e.memoizedProps,e!==r&&ml(t),yl(t),hl(t,a,e,r,n)),null;case 27:if(Ie(t),n=je.current,a=t.type,e!==null&&t.stateNode!=null)e.memoizedProps!==r&&ml(t);else{if(!r){if(t.stateNode===null)throw Error(i(166));return yl(t),t.subtreeFlags&=-33554433,null}e=ke.current,_a(t)?ha(t,e):(e=ym(a,r,n),t.stateNode=e,ml(t))}return yl(t),t.subtreeFlags&=-33554433,null;case 5:if(Ie(t),a=t.type,e!==null&&t.stateNode!=null)e.memoizedProps!==r&&ml(t);else{if(!r){if(t.stateNode===null)throw Error(i(166));return yl(t),t.subtreeFlags&=-33554433,null}if(o=ke.current,_a(t))ha(t,o);else{var s=pp(je.current);switch(o){case 1:o=s.createElementNS(`http://www.w3.org/2000/svg`,a);break;case 2:o=s.createElementNS(`http://www.w3.org/1998/Math/MathML`,a);break;default:switch(a){case`svg`:o=s.createElementNS(`http://www.w3.org/2000/svg`,a);break;case`math`:o=s.createElementNS(`http://www.w3.org/1998/Math/MathML`,a);break;case`script`:o=s.createElement(`div`),o.innerHTML=`<script><\/script>`,o=o.removeChild(o.firstChild);break;case`select`:o=typeof r.is==`string`?s.createElement(`select`,{is:r.is}):s.createElement(`select`),r.multiple?o.multiple=!0:r.size&&(o.size=r.size);break;default:o=typeof r.is==`string`?s.createElement(a,{is:r.is}):s.createElement(a)}}o[kt]=t,o[At]=r;a:for(s=t.child;s!==null;){if(s.tag===5||s.tag===6)o.appendChild(s.stateNode);else if(s.tag!==4&&s.tag!==27&&s.child!==null){s.child.return=s,s=s.child;continue}if(s===t)break a;for(;s.sibling===null;){if(s.return===null||s.return===t)break a;s=s.return}s.sibling.return=s.return,s=s.sibling}t.stateNode=o;a:switch(op(o,a,r),a){case`button`:case`input`:case`select`:case`textarea`:r=!!r.autoFocus;break a;case`img`:r=!0;break a;default:r=!1}r&&ml(t)}}return yl(t),t.subtreeFlags&=-33554433,hl(t,t.type,e===null?null:e.memoizedProps,t.pendingProps,n),null;case 6:if(e&&t.stateNode!=null)e.memoizedProps!==r&&ml(t);else{if(typeof r!=`string`&&t.stateNode===null)throw Error(i(166));if(e=je.current,_a(t)){if(e=t.stateNode,n=t.memoizedProps,r=null,a=la,a!==null)switch(a.tag){case 27:case 5:r=a.memoizedProps}e[kt]=t,e=!!(e.nodeValue===n||r!==null&&!0===r.suppressHydrationWarning||rp(e.nodeValue,n)),e||ma(t,!0)}else e=pp(e).createTextNode(r),e[kt]=t,t.stateNode=e}return yl(t),null;case 31:if(n=t.memoizedState,e===null||e.memoizedState!==null){if(r=_a(t),n!==null){if(e===null){if(!r)throw Error(i(318));if(e=t.memoizedState,e=e===null?null:e.dehydrated,!e)throw Error(i(557));e[kt]=t}else va(),!(t.flags&128)&&(t.memoizedState=null),t.flags|=4;yl(t),e=!1}else n=ya(),e!==null&&e.memoizedState!==null&&(e.memoizedState.hydrationErrors=n),e=!0;if(!e)return t.flags&256?(Lo(t),t):(Lo(t),null);if(t.flags&128)throw Error(i(558))}return yl(t),null;case 13:if(r=t.memoizedState,e===null||e.memoizedState!==null&&e.memoizedState.dehydrated!==null){if(a=_a(t),r!==null&&r.dehydrated!==null){if(e===null){if(!a)throw Error(i(318));if(a=t.memoizedState,a=a===null?null:a.dehydrated,!a)throw Error(i(317));a[kt]=t}else va(),!(t.flags&128)&&(t.memoizedState=null),t.flags|=4;yl(t),a=!1}else a=ya(),e!==null&&e.memoizedState!==null&&(e.memoizedState.hydrationErrors=a),a=!0;if(!a)return t.flags&256?(Lo(t),t):(Lo(t),null)}return Lo(t),t.flags&128?(t.lanes=n,t):(n=r!==null,e=e!==null&&e.memoizedState!==null,n&&(r=t.child,a=null,r.alternate!==null&&r.alternate.memoizedState!==null&&r.alternate.memoizedState.cachePool!==null&&(a=r.alternate.memoizedState.cachePool.pool),o=null,r.memoizedState!==null&&r.memoizedState.cachePool!==null&&(o=r.memoizedState.cachePool.pool),o!==a&&(r.flags|=2048)),n!==e&&n&&(t.child.flags|=8192),_l(t,t.updateQueue),yl(t),null);case 4:return Pe(),e===null&&Jf(t.stateNode.containerInfo),t.flags|=67108864,yl(t),null;case 10:return Ca(t.type),yl(t),null;case 19:if(Bo(t),r=t.memoizedState,r===null)return yl(t),null;if(a=!!(t.flags&128),o=r.rendering,o===null){if(a)vl(r,!1);else{if(cd!==0||e!==null&&e.flags&128)for(e=t.child;e!==null;){if(o=Vo(e),o!==null){for(t.flags|=128,vl(r,!1),e=o.updateQueue,t.updateQueue=e,_l(t,e),t.subtreeFlags=0,e=n,n=t.child;n!==null;)Vi(n,e),n=n.sibling;return zo(t,Ro.current&1|2),P&&ia(t,r.treeForkCount),t.child}e=e.sibling}r.tail!==null&&Ye()>yd&&(t.flags|=128,a=!0,vl(r,!1),t.lanes=4194304)}}else{if(!a){if(e=Vo(o),e!==null){if(t.flags|=128,a=!0,e=e.updateQueue,t.updateQueue=e,_l(t,e),vl(r,!0),r.tail===null&&r.tailMode!==`collapsed`&&r.tailMode!==`visible`&&!o.alternate&&!P)return yl(t),null}else 2*Ye()-r.renderingStartTime>yd&&n!==536870912&&(t.flags|=128,a=!0,vl(r,!1),t.lanes=4194304)}r.isBackwards?(o.sibling=t.child,t.child=o):(e=r.last,e===null?t.child=o:e.sibling=o,r.last=o)}if(r.tail!==null){e=r.tail;a:{for(n=e;n!==null;){if(n.alternate!==null){n=!1;break a}n=n.sibling}n=!0}return r.rendering=e,r.tail=e.sibling,r.renderingStartTime=Ye(),e.sibling=null,o=Ro.current,o=a?o&1|2:o&1,r.tailMode===`visible`||r.tailMode===`collapsed`||!n||P?zo(t,o):(n=o,Oe(jo,t),Oe(Ro,n),Mo===null&&(Mo=t)),P&&ia(t,r.treeForkCount),e}return yl(t),null;case 22:case 23:return Lo(t),Ao(),r=t.memoizedState!==null,e===null?r&&(t.flags|=8192):e.memoizedState!==null!==r&&(t.flags|=8192),r?n&536870912&&!(t.flags&128)&&(yl(t),t.subtreeFlags&6&&(t.flags|=8192)):yl(t),n=t.updateQueue,n!==null&&_l(t,n.retryQueue),n=null,e!==null&&e.memoizedState!==null&&e.memoizedState.cachePool!==null&&(n=e.memoizedState.cachePool.pool),r=null,t.memoizedState!==null&&t.memoizedState.cachePool!==null&&(r=t.memoizedState.cachePool.pool),r!==n&&(t.flags|=2048),e!==null&&De(Ja),null;case 24:return n=null,e!==null&&(n=e.memoizedState.cache),t.memoizedState.cache!==n&&(t.flags|=2048),Ca(Pa),yl(t),null;case 25:return null;case 30:return t.flags|=33554432,yl(t),null}throw Error(i(156,t.tag))}function xl(e,t){switch(sa(t),t.tag){case 1:return e=t.flags,e&65536?(t.flags=e&-65537|128,t):null;case 3:return Ca(Pa),Pe(),e=t.flags,e&65536&&!(e&128)?(t.flags=e&-65537|128,t):null;case 26:case 27:case 5:return Ie(t),null;case 31:if(t.memoizedState!==null){if(Lo(t),t.alternate===null)throw Error(i(340));va()}return e=t.flags,e&65536?(t.flags=e&-65537|128,t):null;case 13:if(Lo(t),e=t.memoizedState,e!==null&&e.dehydrated!==null){if(t.alternate===null)throw Error(i(340));va()}return e=t.flags,e&65536?(t.flags=e&-65537|128,t):null;case 19:return Bo(t),e=t.flags,e&65536?(t.flags=e&-65537|128,e=t.memoizedState,e!==null&&(e.rendering=null,e.tail=null),t.flags|=4,t):null;case 4:return Pe(),null;case 10:return Ca(t.type),null;case 22:case 23:return Lo(t),Ao(),e!==null&&De(Ja),e=t.flags,e&65536?(t.flags=e&-65537|128,t):null;case 24:return Ca(Pa),null;case 25:return null;default:return null}}function Sl(e,t){switch(sa(t),t.tag){case 3:Ca(Pa),Pe();break;case 26:case 27:case 5:Ie(t);break;case 4:Pe();break;case 31:t.memoizedState!==null&&Lo(t);break;case 13:Lo(t);break;case 19:Bo(t);break;case 10:Ca(t.type);break;case 22:case 23:Lo(t),Ao(),e!==null&&De(Ja);break;case 24:Ca(Pa)}}function Cl(e,t){try{var n=t.updateQueue,r=n===null?null:n.lastEffect;if(r!==null){var 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Cs{constructor(e){super(e),this.normalizers=(e.normalizers??[]).map(e=>Rs(e))}normalize(e){return this.normalizers.reduce((e,t)=>t?t.normalize(e):e,e)}},Ds=class extends Cs{constructor(e){super(e),this.pattern=Eo(this.config.pattern??{})}normalize(e){return this.pattern===null?e:e.replaceAll(this.pattern,this.config.content??``)}},Os=class extends Cs{constructor(){super(...arguments),this.form=`NFC`}normalize(e){return e=e.normalize(this.form),e}},ks=class extends Os{constructor(){super(...arguments),this.form=`NFC`}},As=class extends Os{constructor(){super(...arguments),this.form=`NFD`}},js=class extends Os{constructor(){super(...arguments),this.form=`NFKC`}},Ms=class extends Os{constructor(){super(...arguments),this.form=`NFKD`}},Ns=class extends Cs{normalize(e){return this.config.strip_left&&this.config.strip_right?e=e.trim():(this.config.strip_left&&(e=e.trimStart()),this.config.strip_right&&(e=e.trimEnd())),e}},Ps=class extends Cs{normalize(e){return ys(e)}},Fs=class extends Cs{normalize(e){return e.toLowerCase()}},Is=class extends Cs{normalize(e){return e=this.config.prepend+e,e}};function Ls(e){if(e===null)return null;switch(e.type){case`BertNormalizer`:return new ws(e);case`Precompiled`:return new Ts(e);case`Sequence`:return new Es(e);case`Replace`:return new Ds(e);case`NFC`:return new ks(e);case`NFD`:return new As(e);case`NFKC`:return new js(e);case`NFKD`:return new Ms(e);case`Strip`:return new Ns(e);case`StripAccents`:return new Ps(e);case`Lowercase`:return new Fs(e);case`Prepend`:return new Is(e);default:throw Error(`Unknown Normalizer type: ${e.type}`)}}var Rs=Ls,zs=class extends Ss{pre_tokenize(e,t){return(Array.isArray(e)?e.map(e=>this.pre_tokenize_text(e,t)):this.pre_tokenize_text(e,t)).flat()}_call(e,t){return this.pre_tokenize(e,t)}},Bs=(()=>{let e=[...Array.from({length:94},(e,t)=>t+33),...Array.from({length:12},(e,t)=>t+161),...Array.from({length:82},(e,t)=>t+174)],t=e.slice(),n=0;for(let r=0;r<256;++r)e.includes(r)||(e.push(r),t.push(256+n),n+=1);let r=t.map(e=>String.fromCharCode(e));return Object.fromEntries(e.map((e,t)=>[e,r[t]]))})(),Vs=(e=>Object.fromEntries(Object.entries(e).map(([e,t])=>[t,e])))(Bs),Hs=`\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E`,Us=class extends zs{constructor(e){super(),this.config=e,this.add_prefix_space=this.config.add_prefix_space??!1,this.trim_offsets=this.config.trim_offsets??!1,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=Bs,this.text_encoder=new TextEncoder}pre_tokenize_text(e,t){return this.add_prefix_space&&!e.startsWith(` `)&&(e=` `+e),(this.use_regex?e.match(this.pattern)||[]:[e]).map(e=>Array.from(this.text_encoder.encode(e),e=>this.byte_encoder[e]).join(``))}},Ws=class extends zs{pre_tokenize_text(e,t){return e.match(/\w+|[^\w\s]+/g)||[]}},Gs=class extends zs{constructor(e){super(),this.replacement=e.replacement??`▁`,this.str_rep=e.str_rep||this.replacement,this.prepend_scheme=e.prepend_scheme??`always`}pre_tokenize_text(e,t){let{section_index:n=void 0}=t??{},r=e.replaceAll(` `,this.str_rep);return!r.startsWith(this.replacement)&&(this.prepend_scheme===`always`||this.prepend_scheme===`first`&&n===0)&&(r=this.str_rep+r),[r]}},Ks=class extends zs{constructor(e){super(),this.config=e,this.pattern=Eo(this.config.pattern??{},this.config.invert??!0)}pre_tokenize_text(e){return this.pattern===null?[]:this.config.invert?(e.match(this.pattern)||[]).filter(e=>e):this.config.behavior?.toLowerCase()===`removed`?e.split(this.pattern).filter(e=>e):vs(e,this.pattern)}},qs=class extends zs{constructor(e){super(),this.config=e,this.pattern=RegExp(`[^${Hs}]+|[${Hs}]+`,`gu`)}pre_tokenize_text(e){return e.match(this.pattern)||[]}},Js=class extends zs{constructor(e){super(),this.config=e;let t=`[^\\d]+|\\d${this.config.individual_digits?``:`+`}`;this.pattern=new RegExp(t,`gu`)}pre_tokenize_text(e){return e.match(this.pattern)||[]}},Ys=class extends zs{constructor(){super(),this.pattern=RegExp(`[^\\s${Hs}]+|[${Hs}]`,`gu`)}pre_tokenize_text(e,t){return e.trim().match(this.pattern)||[]}},Xs=class extends zs{constructor(e){super(),this.config=e,this.pattern=Eo(this.config.pattern??{}),this.content=this.config.content??``}pre_tokenize_text(e){return this.pattern===null?[e]:[e.replaceAll(this.pattern,this.config.content??``)]}},Zs=class extends zs{constructor(e){super(),this.tokenizers=(e.pretokenizers??[]).map(e=>tc(e))}pre_tokenize_text(e,t){return this.tokenizers.reduce((e,n)=>n?n.pre_tokenize(e,t):e,[e])}},Qs=class extends zs{pre_tokenize_text(e){return xs(e)}},$s=class extends zs{constructor(e){super(),this.config=e,this._length=e.length}pre_tokenize_text(e){let t=[];for(let n=0;n<e.length;n+=this._length)t.push(e.slice(n,n+this._length));return t}};function ec(e){if(e===null)return null;switch(e.type){case`BertPreTokenizer`:return new Ys;case`Sequence`:return new Zs(e);case`Whitespace`:return new Ws;case`WhitespaceSplit`:return new Qs;case`Metaspace`:return new Gs(e);case`ByteLevel`:return new Us(e);case`Split`:return new Ks(e);case`Punctuation`:return new qs(e);case`Digits`:return new Js(e);case`Replace`:return new Xs(e);case`FixedLength`:return new $s(e);default:throw Error(`Unknown PreTokenizer type: ${e.type}`)}}var tc=ec,nc=class extends Ss{constructor(e){super(),this.config=e,this.vocab=[],this.tokens_to_ids=new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=this.config.fuse_unk??!1}_call(e){let t=this.encode(e);return this.fuse_unk&&(t=ds(t,this.tokens_to_ids,this.unk_token_id)),t}},rc=class extends nc{constructor(e){super(e),this.max_input_chars_per_word=100,this.tokens_to_ids=_s(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.max_input_chars_per_word=e.max_input_chars_per_word??100,this.vocab=Array(this.tokens_to_ids.size);for(let[e,t]of this.tokens_to_ids)this.vocab[t]=e}encode(e){let t=[];for(let n of e){let e=[...n];if(e.length>this.max_input_chars_per_word){t.push(this.unk_token);continue}let r=!1,i=0,a=[];for(;i<e.length;){let t=e.length,n=null;for(;i<t;){let r=e.slice(i,t).join(``);if(i>0&&(r=this.config.continuing_subword_prefix+r),this.tokens_to_ids.has(r)){n=r;break}--t}if(n===null){r=!0;break}a.push(n),i=t}r?t.push(this.unk_token):t.push(...a)}return t}},ic=class e{constructor(e,t){this.is_leaf=e,this.children=t}static default(){return new e(!1,new Map)}},ac=class{constructor(){this.root=ic.default()}extend(e){for(let t of e)this.push(t)}push(e){let t=this.root;for(let n of e){let e=t.children.get(n);e===void 0&&(e=ic.default(),t.children.set(n,e)),t=e}t.is_leaf=!0}*common_prefix_search(e,t=0){let n=this.root;if(n===void 0)return;let r=``;for(let i=t;i<e.length;++i){let t=e[i];if(r+=t,n=n.children.get(t),n===void 0)return;n.is_leaf&&(yield r)}}},oc=class e{constructor(e,t,n,r,i){this.token_id=e,this.node_id=t,this.pos=n,this.length=r,this.score=i,this.prev=null,this.backtrace_score=0}clone(){let t=new e(this.token_id,this.node_id,this.pos,this.length,this.score);return t.prev=this.prev,t.backtrace_score=this.backtrace_score,t}},sc=class{constructor(e,t,n){this.chars=Array.from(e),this.len=this.chars.length,this.bos_token_id=t,this.eos_token_id=n,this.nodes=[],this.begin_nodes=Array.from({length:this.len+1},()=>[]),this.end_nodes=Array.from({length:this.len+1},()=>[]);let r=new oc(this.bos_token_id??0,0,0,0,0),i=new oc(this.eos_token_id??0,1,this.len,0,0);this.nodes.push(r.clone()),this.nodes.push(i.clone()),this.begin_nodes[this.len].push(i),this.end_nodes[0].push(r)}insert(e,t,n,r){let i=this.nodes.length,a=new oc(r,i,e,t,n);this.begin_nodes[e].push(a),this.end_nodes[e+t].push(a),this.nodes.push(a)}viterbi(){let e=this.len,t=0;for(;t<=e;){if(this.begin_nodes[t].length==0)return[];for(let e of this.begin_nodes[t]){e.prev=null;let n=0,r=null;for(let i of this.end_nodes[t]){let t=i.backtrace_score+e.score;(r===null||t>n)&&(r=i.clone(),n=t)}if(r!==null)e.prev=r,e.backtrace_score=n;else return[]}++t}let n=[],r=this.begin_nodes[e][0].prev;if(r===null)return[];let i=r.clone();for(;i.prev!==null;)n.push(i.clone()),i=i.clone().prev.clone();return n.reverse(),n}piece(e){return this.chars.slice(e.pos,e.pos+e.length).join(``)}tokens(){return this.viterbi().map(e=>this.piece(e))}token_ids(){return this.viterbi().map(e=>e.token_id)}};function cc(e){if(e.length===0)throw Error(`Array must not be empty`);let t=e[0],n=0;for(let r=1;r<e.length;++r)e[r]<t&&(t=e[r],n=r);return[t,n]}var lc=class extends nc{constructor(e,t){super(e);let n=e.vocab.length;this.vocab=Array(n),this.scores=Array(n);for(let t=0;t<n;++t)[this.vocab[t],this.scores[t]]=e.vocab[t];this.unk_token_id=e.unk_id,this.unk_token=this.vocab[e.unk_id],this.tokens_to_ids=new Map(this.vocab.map((e,t)=>[e,t])),this.bos_token=` `,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=t,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.min_score=cc(this.scores)[0],this.unk_score=this.min_score-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new ac,this.trie.extend(this.vocab),this.fuse_unk=!0}populate_nodes(e){let t=e.chars,n=0;for(;n<t.length;){let r=!1,i=this.trie.common_prefix_search(t,n);for(let t of i){let i=this.tokens_to_ids.get(t),a=this.scores[i],o=ms(t);e.insert(n,o,a,i),!r&&o===1&&(r=!0)}r||e.insert(n,1,this.unk_score,this.unk_token_id),n+=1}}tokenize(e){let t=new sc(e,this.bos_token_id,this.eos_token_id);return this.populate_nodes(t),t.tokens()}encode(e){let t=[];for(let n of e){let e=this.tokenize(n);t.push(...e)}return t}},uc=class{constructor(e=(e,t)=>e>t,t=1/0){this._heap=[],this._comparator=e,this._max_size=t}get size(){return this._heap.length}is_empty(){return this.size===0}peek(){return this._heap[0]}push(...e){return this.extend(e)}extend(e){for(let t of e)if(this.size<this._max_size)this._heap.push(t),this._sift_up();else{let e=this._smallest();this._comparator(t,this._heap[e])&&(this._heap[e]=t,this._sift_up_from(e))}return this.size}pop(){let e=this.peek(),t=this.size-1;return t>0&&this._swap(0,t),this._heap.pop(),this._sift_down(),e}replace(e){let t=this.peek();return this._heap[0]=e,this._sift_down(),t}_parent(e){return(e+1>>>1)-1}_left(e){return(e<<1)+1}_right(e){return e+1<<1}_greater(e,t){return this._comparator(this._heap[e],this._heap[t])}_swap(e,t){let n=this._heap[e];this._heap[e]=this._heap[t],this._heap[t]=n}_sift_up(){this._sift_up_from(this.size-1)}_sift_up_from(e){for(;e>0&&this._greater(e,this._parent(e));)this._swap(e,this._parent(e)),e=this._parent(e)}_sift_down(){let e=0;for(;this._left(e)<this.size&&this._greater(this._left(e),e)||this._right(e)<this.size&&this._greater(this._right(e),e);){let t=this._right(e)<this.size&&this._greater(this._right(e),this._left(e))?this._right(e):this._left(e);this._swap(e,t),e=t}}_smallest(){return 2**Math.floor(Math.log2(this.size))-1}},dc=class{constructor(e){this.capacity=e,this.cache=new Map}get(e){if(!this.cache.has(e))return;let t=this.cache.get(e);return this.cache.delete(e),this.cache.set(e,t),t}put(e,t){this.cache.has(e)&&this.cache.delete(e),this.cache.set(e,t),this.cache.size>this.capacity&&this.cache.delete(this.cache.keys().next().value)}clear(){this.cache.clear()}},fc=class extends nc{constructor(e){super(e),this.tokens_to_ids=_s(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.vocab=Array(this.tokens_to_ids.size);for(let[e,t]of this.tokens_to_ids)this.vocab[t]=e;let t=Array.isArray(e.merges[0]);this.merges=t?e.merges:e.merges.map(e=>e.split(` `,2)),this.bpe_ranks=new Map(this.merges.map((e,t)=>[JSON.stringify(e),t])),this.end_of_word_suffix=e.end_of_word_suffix,this.continuing_subword_suffix=e.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.ignore_merges=this.config.ignore_merges??!1,this.max_length_to_cache=256,this.cache_capacity=1e4,this.cache=new dc(this.cache_capacity)}clear_cache(){this.cache.clear()}bpe(e){if(e.length===0)return[];let t=this.cache.get(e);if(t!==void 0)return t;let n=Array.from(e);this.end_of_word_suffix&&(n[n.length-1]+=this.end_of_word_suffix);let r=[];if(n.length>1){let e=new uc((e,t)=>e.score<t.score),t={token:n[0],bias:0,prev:null,next:null},i=t;for(let t=1;t<n.length;++t){let r={bias:t/n.length,token:n[t],prev:i,next:null};i.next=r,this.add_node(e,i),i=r}for(;!e.is_empty();){let n=e.pop();if(n.deleted||!n.next||n.next.deleted)continue;if(n.deleted=!0,n.next.deleted=!0,n.prev){let e={...n.prev};n.prev.deleted=!0,n.prev=e,e.prev?e.prev.next=e:t=e}let r={token:n.token+n.next.token,bias:n.bias,prev:n.prev,next:n.next.next};r.prev?(r.prev.next=r,this.add_node(e,r.prev)):t=r,r.next&&(r.next.prev=r,this.add_node(e,r))}for(let e=t;e!==null;e=e.next)r.push(e.token)}else r=n;if(this.continuing_subword_suffix)for(let e=0;e<r.length-1;++e)r[e]+=this.continuing_subword_suffix;return e.length<this.max_length_to_cache&&this.cache.put(e,r),r}add_node(e,t){let n=this.bpe_ranks.get(JSON.stringify([t.token,t.next.token]));n!==void 0&&(t.score=n+t.bias,e.push(t))}encode(e){let t=[];for(let n of e){if(this.ignore_merges&&this.tokens_to_ids.has(n)){t.push(n);continue}let e=this.bpe(n);for(let n of e)if(this.tokens_to_ids.has(n))t.push(n);else if(this.byte_fallback){let e=Array.from(this.text_encoder.encode(n)).map(e=>`<0x${e.toString(16).toUpperCase().padStart(2,`0`)}>`);e.every(e=>this.tokens_to_ids.has(e))?t.push(...e):this.unk_token!=null&&t.push(this.unk_token)}else this.unk_token!=null&&t.push(this.unk_token)}return t}},pc=class extends nc{constructor(e,t){super(e);let n=e.vocab;this.tokens_to_ids=_s(t.target_lang?n[t.target_lang]:n),this.bos_token=t.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=t.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=t.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=t.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=Array(this.tokens_to_ids.size);for(let[e,t]of this.tokens_to_ids)this.vocab[t]=e}encode(e){return e}};function mc(e,t){switch(e.type){case`WordPiece`:return new rc(e);case`Unigram`:return new lc(e,t.eos_token);case`BPE`:return new fc(e);default:if(e.vocab)return Array.isArray(e.vocab)?new lc(e,t.eos_token):Object.hasOwn(e,`continuing_subword_prefix`)&&Object.hasOwn(e,`unk_token`)?Object.hasOwn(e,`merges`)?new fc(e):new rc(e):new pc(e,{target_lang:t.target_lang,bos_token:t.bos_token,eos_token:t.eos_token,pad_token:t.pad_token,unk_token:t.unk_token});throw Error(`Unknown TokenizerModel type: ${e?.type}`)}}var hc=mc,gc=class extends Ss{constructor(e){super(),this.config=e}_call(e,...t){return this.post_process(e,...t)}},_c=class extends gc{post_process(e,t=null,n=!0){let r=t===null?this.config.single:this.config.pair,i=[],a=[];for(let o of r)`SpecialToken`in o?n&&(i.push(o.SpecialToken.id),a.push(o.SpecialToken.type_id)):`Sequence`in o&&(o.Sequence.id===`A`?(i=gs(i,e),a=gs(a,Array(e.length).fill(o.Sequence.type_id))):o.Sequence.id===`B`&&(i=gs(i,t),a=gs(a,Array(t.length).fill(o.Sequence.type_id))));return{tokens:i,token_type_ids:a}}},vc=class extends gc{post_process(e,t=null){return{tokens:e,tokens_pair:t}}},yc=class extends gc{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t=null,n=!0){n&&(e=gs([this.cls[0]],e,[this.sep[0]]));let r=Array(e.length).fill(0);if(t){let i=[],a=n?[this.sep[0]]:[];e=gs(e,i,t,a),r=gs(r,Array(t.length+i.length+a.length).fill(1))}return{tokens:e,token_type_ids:r}}},bc=class extends gc{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t,n=!0){n&&(e=gs([this.cls[0]],e,[this.sep[0]]));let r=Array(e.length).fill(0);if(t){let i=n?[this.sep[0]]:[],a=n?[this.sep[0]]:[];e=gs(e,i,t,a),r=gs(r,Array(t.length+i.length+a.length).fill(1))}return{tokens:e,token_type_ids:r}}},xc=class extends gc{constructor(e){super(e),this.processors=(e.processors??[]).map(e=>Cc(e))}post_process(e,t=null,n=!0){let r={tokens:e,tokens_pair:t};for(let e of this.processors)r=e.post_process(r.tokens,r.tokens_pair,n);return r}};function Sc(e){if(e===null)return null;switch(e.type){case`TemplateProcessing`:return new _c(e);case`ByteLevel`:return new vc(e);case`BertProcessing`:return new yc(e);case`RobertaProcessing`:return new bc(e);case`Sequence`:return new xc(e);default:throw Error(`Unknown PostProcessor type: ${e.type}`)}}var Cc=Sc,wc=class extends Ss{constructor(e){super(),this.config=e,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=`trim_offsets`in e&&e.trim_offsets}_call(e){return this.decode(e)}decode(e){return this.decode_chain(e).join(``)}},Tc=class extends wc{constructor(e){super(e),this.byte_decoder=Vs,this.text_decoder=new TextDecoder(`utf-8`,{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(e){let t=e.join(``),n=new Uint8Array([...t].map(e=>this.byte_decoder[e]));return this.text_decoder.decode(n)}decode_chain(e){let t=[],n=[];for(let r of e)this.added_tokens.find(e=>e.content===r)===void 0?n.push(r):(n.length>0&&(t.push(this.convert_tokens_to_string(n)),n=[]),t.push(r));return n.length>0&&t.push(this.convert_tokens_to_string(n)),t}},Ec=class extends wc{constructor(e){super(e),this.cleanup=e.cleanup}decode_chain(e){return e.map((e,t)=>{if(t!==0){let t=this.config.prefix;e=t&&e.startsWith(t)?e.replace(t,``):` `+e}return this.cleanup&&(e=To(e)),e})}},Dc=class extends wc{constructor(e){super(e),this.replacement=e.replacement??`▁`}decode_chain(e){let t=[];for(let n=0;n<e.length;++n){let r=e[n].replaceAll(this.replacement,` `);n==0&&r.startsWith(` `)&&(r=r.substring(1)),t.push(r)}return t}},Oc=class extends wc{constructor(e){super(e),this.suffix=e.suffix??``}decode_chain(e){return e.map((t,n)=>t.replaceAll(this.suffix,n===e.length-1?``:` `))}},kc=class extends wc{constructor(e){super(e),this.pad_token=e.pad_token??``,this.word_delimiter_token=e.word_delimiter_token??``,this.cleanup=e.cleanup}convert_tokens_to_string(e){if(e.length===0)return``;let t=[e[0]];for(let n=1;n<e.length;++n)e[n]!==t.at(-1)&&t.push(e[n]);let n=t.filter(e=>e!==this.pad_token).join(``);return this.cleanup&&(n=To(n).replaceAll(this.word_delimiter_token,` `).trim()),n}decode_chain(e){return[this.convert_tokens_to_string(e)]}},Ac=class extends wc{constructor(e){super(e),this.decoders=(e.decoders??[]).map(e=>Ic(e))}decode_chain(e){return this.decoders.reduce((e,t)=>t.decode_chain(e),e)}},jc=class extends wc{constructor(e){super(e),this.pattern=Eo(this.config.pattern)}decode_chain(e){let t=this.config.content??``,n=this.pattern;return n===null?e:e.map(e=>e.replaceAll(n,t))}},Mc=class extends wc{decode_chain(e){return[e.join(``)]}},Nc=class extends wc{constructor(e){super(e),this.content=e.content??``,this.start=e.start??0,this.stop=e.stop??0}decode_chain(e){return e.map(e=>{let t=0;for(let n=0;n<this.start&&e[n]===this.content;++n)t=n+1;let n=e.length;for(let t=0;t<this.stop;++t){let r=e.length-t-1;if(e[r]===this.content){n=r;continue}break}return e.slice(t,n)})}},Pc=class extends wc{constructor(e){super(e),this.text_decoder=new TextDecoder}decode_chain(e){let t=[],n=[];for(let r of e){let e=null;if(r.length===6&&r.startsWith(`<0x`)&&r.endsWith(`>`)){let t=parseInt(r.slice(3,5),16);isNaN(t)||(e=t)}if(e!==null)n.push(e);else{if(n.length>0){let e=this.text_decoder.decode(Uint8Array.from(n));t.push(e),n=[]}t.push(r)}}if(n.length>0){let e=this.text_decoder.decode(Uint8Array.from(n));t.push(e),n=[]}return t}};function Fc(e){if(e===null)return null;switch(e.type){case`ByteLevel`:return new Tc(e);case`WordPiece`:return new Ec(e);case`Metaspace`:return new Dc(e);case`BPEDecoder`:return new Oc(e);case`CTC`:return new kc(e);case`Sequence`:return new Ac(e);case`Replace`:return new jc(e);case`Fuse`:return new Mc(e);case`Strip`:return new Nc(e);case`ByteFallback`:return new Pc(e);default:throw Error(`Unknown Decoder type: ${e.type}`)}}var Ic=Fc,Lc=class{constructor(e,t){let n=bs(e,`Tokenizer`,[`model`,`decoder`,`post_processor`,`pre_tokenizer`,`normalizer`]);if(n)throw Error(n);let r=bs(t,`Config`);if(r)throw Error(r);this.tokenizer=e,this.config=t,this.normalizer=Rs(this.tokenizer.normalizer),this.pre_tokenizer=tc(this.tokenizer.pre_tokenizer),this.model=hc(this.tokenizer.model,this.config),this.post_processor=Cc(this.tokenizer.post_processor),this.decoder=Ic(this.tokenizer.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];let i=[],a=[];this.added_tokens_map=new Map;for(let e of this.tokenizer.added_tokens){let t=new Co(e);if(this.added_tokens.push(t),this.model.tokens_to_ids.set(t.content,t.id),this.model.vocab[t.id]=t.content,t.special&&(this.special_tokens.push(t.content),this.all_special_ids.push(t.id)),this.added_tokens_map.set(t.content,t),t.normalized&&this.normalizer!==null){let e=this.normalizer(t.content);a.push(e),this.added_tokens_map.set(e,t)}else i.push(t.content)}(this.config.additional_special_tokens??[]).forEach(e=>{this.special_tokens.includes(e)||this.special_tokens.push(e)}),this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.splitter_unnormalized=new So(i),this.splitter_normalized=new So(a),this.remove_space=this.config.remove_space,this.clean_up_tokenization_spaces=this.config.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=this.config.do_lowercase_and_remove_accent??!1}encode(e,{text_pair:t=null,add_special_tokens:n=!0,return_token_type_ids:r=null}={}){let{tokens:i,token_type_ids:a}=this.tokenize_helper(e,{text_pair:t,add_special_tokens:n}),o=i.map(e=>this.added_tokens_map.get(e)?.id??this.model.tokens_to_ids.get(e)??this.model.unk_token_id),s={ids:o,tokens:i,attention_mask:Array(o.length).fill(1)};return r&&a&&(s.token_type_ids=a),s}decode(e,t={}){if(!Array.isArray(e)||e.length===0||!ps(e[0]))throw Error(`token_ids must be a non-empty array of integers.`);let n=e.map(e=>this.model.vocab[Number(e)]??this.model.unk_token);t.skip_special_tokens&&(n=n.filter(e=>!this.special_tokens.includes(e)));let r=this.decoder?this.decoder(n):n.join(` `);return this.decoder&&this.decoder.end_of_word_suffix&&(r=r.replaceAll(this.decoder.end_of_word_suffix,` `),t.skip_special_tokens&&(r=r.trim())),(t.clean_up_tokenization_spaces??this.clean_up_tokenization_spaces)&&(r=To(r)),r}tokenize(e,{text_pair:t=null,add_special_tokens:n=!1}={}){return this.tokenize_helper(e,{text_pair:t,add_special_tokens:n}).tokens}encode_text(e){if(e===null)return null;let t=this.splitter_unnormalized.split(e);return t.forEach((e,n)=>{let r=this.added_tokens_map.get(e);r&&(r.lstrip&&n>0&&(t[n-1]=t[n-1].trimEnd()),r.rstrip&&n<t.length-1&&(t[n+1]=t[n+1].trimStart()))}),t.flatMap((e,t)=>{if(e.length===0)return[];if(this.added_tokens_map.has(e))return[e];if(this.remove_space===!0&&(e=e.trim().split(/\s+/).join(` `)),this.do_lowercase_and_remove_accent&&(e=hs(e)),this.normalizer!==null&&(e=this.normalizer(e)),e.length===0)return[];let n=this.splitter_normalized.split(e);return n.forEach((e,t)=>{let r=this.added_tokens_map.get(e);r&&(r.lstrip&&t>0&&(n[t-1]=n[t-1].trimEnd()),r.rstrip&&t<n.length-1&&(n[t+1]=n[t+1].trimStart()))}),n.flatMap(e=>{if(e.length===0)return[];if(this.added_tokens_map.has(e))return[e];let n=this.pre_tokenizer===null?[e]:this.pre_tokenizer(e,{section_index:t});return this.model(n)})})}tokenize_helper(e,{text_pair:t=null,add_special_tokens:n=!0}){let r=this.encode_text(e),i=this.encode_text(t||null);return this.post_processor?this.post_processor(r,i,n):{tokens:gs(r??[],i??[])}}token_to_id(e){return this.model.tokens_to_ids.get(e)}id_to_token(e){return this.model.vocab[e]}get_added_tokens_decoder(){let e=new Map;for(let t of this.added_tokens)e.set(t.id,t);return e}get_vocab(e=!0){let t=new Map;for(let n=0;n<this.model.vocab.length;++n){let r=this.model.vocab[n];(e||!this.added_tokens_map.has(r))&&t.set(r,n)}return t}},Rc=Object.defineProperty,zc=(e,t,n)=>t in e?Rc(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n,Bc=(e,t,n)=>(zc(e,typeof t==`symbol`?t:t+``,n),n),H=Object.freeze({Text:`Text`,NumericLiteral:`NumericLiteral`,StringLiteral:`StringLiteral`,Identifier:`Identifier`,Equals:`Equals`,OpenParen:`OpenParen`,CloseParen:`CloseParen`,OpenStatement:`OpenStatement`,CloseStatement:`CloseStatement`,OpenExpression:`OpenExpression`,CloseExpression:`CloseExpression`,OpenSquareBracket:`OpenSquareBracket`,CloseSquareBracket:`CloseSquareBracket`,OpenCurlyBracket:`OpenCurlyBracket`,CloseCurlyBracket:`CloseCurlyBracket`,Comma:`Comma`,Dot:`Dot`,Colon:`Colon`,Pipe:`Pipe`,CallOperator:`CallOperator`,AdditiveBinaryOperator:`AdditiveBinaryOperator`,MultiplicativeBinaryOperator:`MultiplicativeBinaryOperator`,ExponentiationBinaryOperator:`ExponentiationBinaryOperator`,ComparisonBinaryOperator:`ComparisonBinaryOperator`,UnaryOperator:`UnaryOperator`,Comment:`Comment`}),Vc=class{constructor(e,t){this.value=e,this.type=t}};function Hc(e){return/\w/.test(e)}function Uc(e){return/[0-9]/.test(e)}function Wc(e){return/\s/.test(e)}var Gc=[[`{%`,H.OpenStatement],[`%}`,H.CloseStatement],[`{{`,H.OpenExpression],[`}}`,H.CloseExpression],[`(`,H.OpenParen],[`)`,H.CloseParen],[`{`,H.OpenCurlyBracket],[`}`,H.CloseCurlyBracket],[`[`,H.OpenSquareBracket],[`]`,H.CloseSquareBracket],[`,`,H.Comma],[`.`,H.Dot],[`:`,H.Colon],[`|`,H.Pipe],[`<=`,H.ComparisonBinaryOperator],[`>=`,H.ComparisonBinaryOperator],[`==`,H.ComparisonBinaryOperator],[`!=`,H.ComparisonBinaryOperator],[`<`,H.ComparisonBinaryOperator],[`>`,H.ComparisonBinaryOperator],[`+`,H.AdditiveBinaryOperator],[`-`,H.AdditiveBinaryOperator],[`~`,H.AdditiveBinaryOperator],[`**`,H.ExponentiationBinaryOperator],[`*`,H.MultiplicativeBinaryOperator],[`//`,H.MultiplicativeBinaryOperator],[`/`,H.MultiplicativeBinaryOperator],[`%`,H.MultiplicativeBinaryOperator],[`=`,H.Equals]],Kc=new Map([[`n`,`
+`],[`t`,`	`],[`r`,`\r`],[`b`,`\b`],[`f`,`\f`],[`v`,`\v`],[`'`,`'`],[`"`,`"`],[`\\`,`\\`]]);function qc(e,t={}){return e.endsWith(`
+`)&&(e=e.slice(0,-1)),t.lstrip_blocks&&(e=e.replace(/^[ \t]*({[#%-])/gm,`$1`)),t.trim_blocks&&(e=e.replace(/([#%-]})\n/g,`$1`)),e.replace(/(\s*){%(-?)\s*(?:end)?generation\s*(-?)%}(\s*)/gs,(e,t,n,r,i)=>(n?``:t)+(r?``:i))}function Jc(e,t={}){let n=[],r=qc(e,t),i=0,a=0,o=e=>{let t=``;for(;e(r[i]);){if(r[i]===`\\`){if(++i,i>=r.length)throw SyntaxError(`Unexpected end of input`);let e=r[i++],n=Kc.get(e);if(n===void 0)throw SyntaxError(`Unexpected escaped character: ${e}`);t+=n;continue}if(t+=r[i++],i>=r.length)throw SyntaxError(`Unexpected end of input`)}return t},s=()=>{let e=n.at(-1);e&&e.type===H.Text&&(e.value=e.value.trimEnd(),e.value===``&&n.pop())},c=()=>{for(;i<r.length&&Wc(r[i]);)++i};main:for(;i<r.length;){let e=n.at(-1)?.type;if(e===void 0||e===H.CloseStatement||e===H.CloseExpression||e===H.Comment){let e=``;for(;i<r.length&&(r[i]!==`{`||r[i+1]!==`%`&&r[i+1]!==`{`&&r[i+1]!==`#`);)e+=r[i++];if(e.length>0){n.push(new Vc(e,H.Text));continue}}if(r[i]===`{`&&r[i+1]===`#`){i+=2;let e=r[i]===`-`;e&&++i;let t=``;for(;r[i]!==`#`||r[i+1]!==`}`;){if(i+2>=r.length)throw SyntaxError(`Missing end of comment tag`);t+=r[i++]}let a=t.endsWith(`-`);a&&(t=t.slice(0,-1)),e&&s(),n.push(new Vc(t,H.Comment)),i+=2,a&&c();continue}if(r.slice(i,i+3)===`{%-`){s(),n.push(new Vc(`{%`,H.OpenStatement)),i+=3;continue}if(r.slice(i,i+3)===`{{-`){s(),n.push(new Vc(`{{`,H.OpenExpression)),a=0,i+=3;continue}if(o(Wc),r.slice(i,i+3)===`-%}`){n.push(new Vc(`%}`,H.CloseStatement)),i+=3,c();continue}if(r.slice(i,i+3)===`-}}`){n.push(new Vc(`}}`,H.CloseExpression)),i+=3,c();continue}let t=r[i];if(t===`-`||t===`+`){let e=n.at(-1)?.type;if(e===H.Text||e===void 0)throw SyntaxError(`Unexpected character: ${t}`);switch(e){case H.Identifier:case H.NumericLiteral:case H.StringLiteral:case H.CloseParen:case H.CloseSquareBracket:break;default:{++i;let e=o(Uc);if(e.length>0&&r[i]===`.`&&Uc(r[i+1])){++i;let t=o(Uc);e=`${e}.${t}`}n.push(new Vc(`${t}${e}`,e.length>0?H.NumericLiteral:H.UnaryOperator));continue}}}for(let[e,t]of Gc)if(!(e===`}}`&&a>0)&&r.slice(i,i+e.length)===e){n.push(new Vc(e,t)),t===H.OpenExpression?a=0:t===H.OpenCurlyBracket?++a:t===H.CloseCurlyBracket&&--a,i+=e.length;continue main}if(t===`'`||t===`"`){++i;let e=o(e=>e!==t);n.push(new Vc(e,H.StringLiteral)),++i;continue}if(Uc(t)){let e=o(Uc);if(n.at(-1)?.type!==H.Dot&&r[i]===`.`&&Uc(r[i+1])){++i;let t=o(Uc);e=`${e}.${t}`}n.push(new Vc(e,H.NumericLiteral));continue}if(Hc(t)){let e=o(Hc);n.push(new Vc(e,H.Identifier));continue}throw SyntaxError(`Unexpected character: ${t}`)}return n}var Yc=class{type=`Statement`},Xc=class extends Yc{constructor(e){super(),this.body=e}type=`Program`},Zc=class extends Yc{constructor(e,t,n){super(),this.test=e,this.body=t,this.alternate=n}type=`If`},Qc=class extends Yc{constructor(e,t,n,r){super(),this.loopvar=e,this.iterable=t,this.body=n,this.defaultBlock=r}type=`For`},$c=class extends Yc{type=`Break`},el=class extends Yc{type=`Continue`},tl=class extends Yc{constructor(e,t,n){super(),this.assignee=e,this.value=t,this.body=n}type=`Set`},nl=class extends Yc{constructor(e,t,n){super(),this.name=e,this.args=t,this.body=n}type=`Macro`},rl=class extends Yc{constructor(e){super(),this.value=e}type=`Comment`},il=class extends Yc{type=`Expression`},al=class extends il{constructor(e,t,n){super(),this.object=e,this.property=t,this.computed=n}type=`MemberExpression`},ol=class extends il{constructor(e,t){super(),this.callee=e,this.args=t}type=`CallExpression`},sl=class extends il{constructor(e){super(),this.value=e}type=`Identifier`},cl=class extends il{constructor(e){super(),this.value=e}type=`Literal`},ll=class extends cl{type=`IntegerLiteral`},ul=class extends cl{type=`FloatLiteral`},dl=class extends cl{type=`StringLiteral`},fl=class extends cl{type=`ArrayLiteral`},pl=class extends cl{type=`TupleLiteral`},ml=class extends cl{type=`ObjectLiteral`},hl=class extends il{constructor(e,t,n){super(),this.operator=e,this.left=t,this.right=n}type=`BinaryExpression`},gl=class extends il{constructor(e,t){super(),this.operand=e,this.filter=t}type=`FilterExpression`},_l=class extends Yc{constructor(e,t){super(),this.filter=e,this.body=t}type=`FilterStatement`},vl=class extends il{constructor(e,t){super(),this.lhs=e,this.test=t}type=`SelectExpression`},yl=class extends il{constructor(e,t,n){super(),this.operand=e,this.negate=t,this.test=n}type=`TestExpression`},bl=class extends il{constructor(e,t){super(),this.operator=e,this.argument=t}type=`UnaryExpression`},xl=class extends il{constructor(e=void 0,t=void 0,n=void 0){super(),this.start=e,this.stop=t,this.step=n}type=`SliceExpression`},Sl=class extends il{constructor(e,t){super(),this.key=e,this.value=t}type=`KeywordArgumentExpression`},Cl=class extends il{constructor(e){super(),this.argument=e}type=`SpreadExpression`},wl=class extends il{constructor(e){super(),this.argument=e}type=`KeywordSpreadExpression`},Tl=class extends Yc{constructor(e,t,n){super(),this.call=e,this.callerArgs=t,this.body=n}type=`CallStatement`},El=class extends il{constructor(e,t,n){super(),this.condition=e,this.trueExpr=t,this.falseExpr=n}type=`Ternary`};function Dl(e){let t=new Xc([]),n=0;function r(t,r){let i=e[n++];if(!i||i.type!==t)throw Error(`Parser Error: ${r}. ${i.type} !== ${t}.`);return i}function i(e){if(!c(e))throw SyntaxError(`Expected ${e}`);++n}function a(){switch(e[n].type){case H.Comment:return new rl(e[n++].value);case H.Text:return l();case H.OpenStatement:return u();case H.OpenExpression:return d();default:throw SyntaxError(`Unexpected token type: ${e[n].type}`)}}function o(...t){return n+t.length<=e.length&&t.every((t,r)=>t===e[n+r].type)}function s(...t){return e[n]?.type===H.OpenStatement&&e[n+1]?.type===H.Identifier&&t.includes(e[n+1]?.value)}function c(...t){return n+t.length<=e.length&&t.every((t,r)=>e[n+r].type===`Identifier`&&t===e[n+r].value)}function l(){return new dl(r(H.Text,`Expected text token`).value)}function u(){if(r(H.OpenStatement,`Expected opening statement token`),e[n].type!==H.Identifier)throw SyntaxError(`Unknown statement, got ${e[n].type}`);let t=e[n].value,c;switch(t){case`set`:++n,c=f();break;case`if`:++n,c=p(),r(H.OpenStatement,`Expected {% token`),i(`endif`),r(H.CloseStatement,`Expected %} token`);break;case`macro`:++n,c=m(),r(H.OpenStatement,`Expected {% token`),i(`endmacro`),r(H.CloseStatement,`Expected %} token`);break;case`for`:++n,c=g(),r(H.OpenStatement,`Expected {% token`),i(`endfor`),r(H.CloseStatement,`Expected %} token`);break;case`call`:{++n;let e=null;o(H.OpenParen)&&(e=T(`parameters`));let t=oe();if(t.type!==`Identifier`)throw SyntaxError(`Expected identifier following call statement`);let l=T(`call`);r(H.CloseStatement,`Expected closing statement token`);let 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G(n.value!=r.value)}if(n instanceof Yl||r instanceof Yl){if(r instanceof Yl&&[`in`,`not in`].includes(e.operator.value))return new G(e.operator.value===`not in`);throw Error(`Cannot perform operation ${e.operator.value} on undefined values`)}if(n instanceof Jl||r instanceof Jl)throw Error(`Cannot perform operation on null values`);if(e.operator.value===`~`)return new W(n.value.toString()+r.value.toString());if(e.operator.value===`**`&&tu(n)&&tu(r)){let e=nu(n),t=nu(r);if(e===0&&t<0)throw Error(`0.0 cannot be raised to a negative power`);let i=e**t;if(!Number.isFinite(i))throw Error(`Exponentiation result is not a finite real number`);return n instanceof zl||r instanceof zl||t<0?new zl(i):new U(i)}if((n instanceof U||n instanceof zl)&&(r instanceof U||r instanceof zl)){let t=n.value,i=r.value;switch(e.operator.value){case`+`:case`-`:case`*`:{let a=e.operator.value===`+`?t+i:e.operator.value===`-`?t-i:t*i;return n instanceof zl||r instanceof zl?new zl(a):new U(a)}case`/`:return new zl(t/i);case`//`:{let e=Math.floor(t/i);return n instanceof zl||r instanceof zl?new zl(e):new U(e)}case`%`:{let e=t%i;return n instanceof zl||r instanceof zl?new zl(e):new U(e)}case`<`:return new G(t<i);case`>`:return new G(t>i);case`>=`:return new G(t>=i);case`<=`:return new G(t<=i)}}else if(n instanceof K&&r instanceof K)switch(e.operator.value){case`+`:return new K(n.value.concat(r.value))}else if(r instanceof K){let t=r.value.find(e=>e.value===n.value)!==void 0;switch(e.operator.value){case`in`:return new G(t);case`not in`:return new G(!t)}}if(n instanceof W||r instanceof W)switch(e.operator.value){case`+`:return new W(n.value.toString()+r.value.toString())}if(n instanceof W&&r instanceof W)switch(e.operator.value){case`in`:return new G(r.value.includes(n.value));case`not in`:return new G(!r.value.includes(n.value))}if(n instanceof W&&r instanceof Ul)switch(e.operator.value){case`in`:return new G(r.value.has(n.value));case`not in`:return new G(!r.value.has(n.value))}throw SyntaxError(`Unknown operator "${e.operator.value}" between ${n.type} and ${r.type}`)}evaluateArguments(e,t){let n=[],r=new Map,i=(e,t)=>{if(r.has(e))throw Error(`Got multiple values for keyword argument '${e}'`);r.set(e,t)};for(let r of e)if(r.type===`SpreadExpression`){let e=r,i=this.evaluate(e.argument,t);if(!(i instanceof K))throw Error(`Cannot unpack non-iterable type: ${i.type}`);for(let e of i.value)n.push(e)}else r.type!==`KeywordArgumentExpression`&&r.type!==`KeywordSpreadExpression`&&n.push(this.evaluate(r,t));for(let n of e)if(n.type===`KeywordArgumentExpression`){let e=n;i(e.key.value,this.evaluate(e.value,t))}else if(n.type===`KeywordSpreadExpression`){let e=n,r=this.evaluate(e.argument,t);if(!(r instanceof Ul))throw Error(`Argument after ** must be a mapping, not ${r.type}`);for(let[e,t]of r.value)i(e,t)}return[n,r]}applyFilter(e,t,n){if(t.type===`Identifier`){let r=t;if(r.value===`safe`)return e;if(r.value===`tojson`)return new W(Hl(e,{}));if(e instanceof 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+`).map((e,t)=>t===0||e.length===0?e:`    `+e).join(`
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zl(+!!e.value);case`string`:return new W(e.value?`true`:`false`);default:throw Error(`Unknown BooleanValue filter: ${r.value}`)}throw Error(`Cannot apply filter "${r.value}" to type: ${e.type}`)}if(t.type===`CallExpression`){let r=t;if(r.callee.type!==`Identifier`)throw Error(`Unknown filter: ${r.callee.type}`);let i=r.callee.value;if(i===`tojson`){let[,t]=this.evaluateArguments(r.args,n),i=t.get(`indent`)??new Jl;if(!(i instanceof U||i instanceof Jl))throw Error(`If set, indent must be a number`);let a=t.get(`ensure_ascii`)??new G(!1);if(!(a instanceof G))throw Error(`If set, ensure_ascii must be a boolean`);let o=t.get(`sort_keys`)??new G(!1);if(!(o instanceof G))throw Error(`If set, sort_keys must be a boolean`);let s=t.get(`separators`)??new Jl,c=null;if(s instanceof K||s instanceof Kl){if(s.value.length!==2)throw Error(`separators must be a tuple of two strings`);let[e,t]=s.value;if(!(e instanceof W)||!(t instanceof W))throw Error(`separators must be a tuple of two 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${e.type}`)}if(i==="default"){let[t,i]=this.evaluateArguments(r.args,n),a=t[0]??new W(``),o=t[1]??i.get(`boolean`)??new G(!1);if(!(o instanceof G))throw Error("`default` filter flag must be a boolean");return e instanceof Yl||o.value&&!e.__bool__().value?a:e}if(e instanceof K){switch(i){case`sort`:{let[t,i]=this.evaluateArguments(r.args,n),a=t.at(0)??i.get(`reverse`)??new G(!1);if(!(a instanceof G))throw Error(`reverse must be a boolean`);let o=t.at(1)??i.get(`case_sensitive`)??new G(!1);if(!(o instanceof G))throw Error(`case_sensitive must be a boolean`);let s=t.at(2)??i.get(`attribute`)??new Jl;if(!(s instanceof W||s instanceof U||s instanceof Jl))throw Error(`attribute must be a string, integer, or null`);let c=e=>s instanceof Jl?e:ru(e,s instanceof U?String(s.value):s.value);return new K(e.value.slice().sort((e,t)=>{let n=iu(c(e),c(t),o.value);return a.value?-n:n}))}case`selectattr`:case`rejectattr`:{let t=i===`selectattr`;if(e.value.some(e=>!eu(e)))throw Error(`\`${i}\` can only 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Error(`width must be a number`);let o=t.at(1)??i.get(`first`)??new G(!1),s=t.at(2)??i.get(`blank`)??new G(!1),c=e.value.split(`
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+`))}case`replace`:{let t=e.builtins.get(`replace`);if(!(t instanceof ql))throw Error(`replace filter not available`);let[i,a]=this.evaluateArguments(r.args,n);return t.value([...i,new Wl(a)],n)}}throw Error(`Unknown StringValue filter: ${i}`)}if(e instanceof Ul){let t=e.builtins.get(i);if(t&&t instanceof ql){let[e,i]=this.evaluateArguments(r.args,n);return i.size>0&&e.push(new Wl(i)),t.value(e,n)}throw Error(`Unknown ObjectValue filter: ${i}`)}throw Error(`Cannot apply filter "${i}" to type: ${e.type}`)}throw Error(`Unknown filter: ${t.type}`)}evaluateFilterExpression(e,t){let n=this.evaluate(e.operand,t);return this.applyFilter(n,e.filter,t)}evaluateTestExpression(e,t){let n=this.evaluate(e.operand,t),r=t.tests.get(e.test.value);if(!r)throw Error(`Unknown test: ${e.test.value}`);let i=r(n);return new G(e.negate?!i:i)}evaluateSelectExpression(e,t){return this.evaluate(e.test,t).__bool__().value?this.evaluate(e.lhs,t):new Yl}evaluateUnaryExpression(e,t){let n=this.evaluate(e.argument,t);switch(e.operator.value){case`not`:return new G(!n.value);case`+`:case`-`:{let t=e.operator.value===`-`?-1:1;if(n instanceof U||n instanceof zl||n instanceof G){let e=t*(n instanceof G?+!!n.value:n.value);return n instanceof zl?new zl(e):new U(e)}throw SyntaxError(`Unknown operator "${e.operator.value}" for ${n.type}`)}default:throw SyntaxError(`Unknown operator: ${e.operator.value}`)}}evaluateTernaryExpression(e,t){return this.evaluate(e.condition,t).__bool__().value?this.evaluate(e.trueExpr,t):this.evaluate(e.falseExpr,t)}evalProgram(e,t){return this.evaluateBlock(e.body,t)}evaluateBlock(e,t){let n=``;for(let r of e){let e=this.evaluate(r,t);e.type!==`NullValue`&&e.type!==`UndefinedValue`&&(n+=e.toString())}return new W(n)}evaluateIdentifier(e,t){return t.lookupVariable(e.value)}evaluateCallExpression(e,t){let[n,r]=this.evaluateArguments(e.args,t);r.size>0&&n.push(new Wl(r));let i=this.evaluate(e.callee,t);if(i.type!==`FunctionValue`)throw Error(`Cannot call something that is not a function: got ${i.type}`);return i.value(n,t)}evaluateSliceExpression(e,t,n){if(!(e instanceof K||e instanceof W))throw Error(`Slice object must be an array or string`);let r=this.evaluate(t.start,n),i=this.evaluate(t.stop,n),a=this.evaluate(t.step,n);if(!(r instanceof U||r instanceof Yl))throw Error(`Slice start must be numeric or undefined`);if(!(i instanceof U||i instanceof Yl))throw Error(`Slice stop must be numeric or undefined`);if(!(a instanceof U||a instanceof Yl))throw Error(`Slice step must be numeric or undefined`);return e instanceof K?new K(kl(e.value,r.value,i.value,a.value)):new W(kl(Array.from(e.value),r.value,i.value,a.value).join(``))}evaluateMemberExpression(e,t){let n=this.evaluate(e.object,t),r;if(e.computed){if(e.property.type===`SliceExpression`)return this.evaluateSliceExpression(n,e.property,t);r=this.evaluate(e.property,t)}else r=e.property.type===`IntegerLiteral`?new U(e.property.value):new W(e.property.value);let i;if(eu(n)){if(!(r instanceof W))throw Error(`Cannot access property with non-string: got ${r.type}`);i=n.value.get(r.value)??(n instanceof Ul?n.builtins.get(r.value):void 0)}else if(n instanceof K||n instanceof W){if(r instanceof U)i=n.value.at(r.value),n instanceof W&&(i=new W(n.value.at(r.value)));else if(r instanceof W)i=n.builtins.get(r.value);else throw Error(`Cannot access property with non-string/non-number: got ${r.type}`)}else{if(!(r instanceof W))throw Error(`Cannot access property with non-string: got ${r.type}`);i=n.builtins.get(r.value)}return i instanceof Rl?i:new Yl}evaluateSet(e,t){let n=e.value?this.evaluate(e.value,t):this.evaluateBlock(e.body,t);if(e.assignee.type===`Identifier`){let r=e.assignee.value;t.setVariable(r,n)}else if(e.assignee.type===`TupleLiteral`){let r=e.assignee;if(!(n instanceof K))throw Error(`Cannot unpack non-iterable type in set: ${n.type}`);let i=n.value;if(i.length!==r.value.length)throw Error(`Too ${r.value.length>i.length?`few`:`many`} items to unpack in set`);for(let e=0;e<r.value.length;++e){let n=r.value[e];if(n.type!==`Identifier`)throw Error(`Cannot unpack to non-identifier in set: ${n.type}`);t.setVariable(n.value,i[e])}}else if(e.assignee.type===`MemberExpression`){let r=e.assignee,i=this.evaluate(r.object,t);if(!(i instanceof Gl))throw Error(`cannot assign attribute on non-namespace object`);if(r.property.type!==`Identifier`)throw Error(`Cannot assign to member with non-identifier property`);i.value.set(r.property.value,n)}else throw Error(`Invalid LHS inside assignment expression: ${JSON.stringify(e.assignee)}`);return new Jl}evaluateIf(e,t){let n=this.evaluate(e.test,t);return this.evaluateBlock(n.__bool__().value?e.body:e.alternate,t)}evaluateFor(e,t){let n=new Ql(t),r,i;if(e.iterable.type===`SelectExpression`){let t=e.iterable;i=this.evaluate(t.lhs,n),r=t.test}else i=this.evaluate(e.iterable,n);if(!(i instanceof K||i instanceof Ul))throw Error(`Expected iterable or object type in for loop: got ${i.type}`);i instanceof Ul&&(i=i.keys());let a=[],o=[];for(let t=0;t<i.value.length;++t){let s=new Ql(n),c=i.value[t],l;if(e.loopvar.type===`Identifier`)l=t=>t.setVariable(e.loopvar.value,c);else if(e.loopvar.type===`TupleLiteral`){let t=e.loopvar;if(c.type!==`ArrayValue`)throw Error(`Cannot unpack non-iterable type: ${c.type}`);let n=c;if(t.value.length!==n.value.length)throw Error(`Too ${t.value.length>n.value.length?`few`:`many`} items to unpack`);l=e=>{for(let r=0;r<t.value.length;++r){if(t.value[r].type!==`Identifier`)throw Error(`Cannot unpack non-identifier type: ${t.value[r].type}`);e.setVariable(t.value[r].value,n.value[r])}}}else throw Error(`Invalid loop variable(s): ${e.loopvar.type}`);r&&(l(s),!this.evaluate(r,s).__bool__().value)||(a.push(c),o.push(l))}let s=``,c=!0;for(let t=0;t<a.length;++t){let r=new Map([[`index`,new U(t+1)],[`index0`,new U(t)],[`revindex`,new U(a.length-t)],[`revindex0`,new U(a.length-t-1)],[`first`,new G(t===0)],[`last`,new G(t===a.length-1)],[`length`,new U(a.length)],[`previtem`,t>0?a[t-1]:new Yl],[`nextitem`,t<a.length-1?a[t+1]:new Yl]]);n.setVariable(`loop`,new Ul(r)),o[t](n);try{let t=this.evaluateBlock(e.body,n);s+=t.value}catch(e){if(e instanceof Il)continue;if(e instanceof Fl)break;throw e}c=!1}if(c){let t=this.evaluateBlock(e.defaultBlock,n);s+=t.value}return new W(s)}bindMacroArguments(e,t,n,r,i){let a=r.slice(),o=new Map;a.at(-1)instanceof Wl&&(o=new Map(a.pop().value));let s=[];for(let e=0;e<t.length;++e){let{name:n,defaultValue:r}=au(t[e]),c=a[e];c===void 0&&o.has(n)&&(c=o.get(n),o.delete(n)),c===void 0&&r!==void 0&&s.push([n,r]),i.setVariable(n,c??new Yl)}if(n.has(`kwargs`))i.setVariable(`kwargs`,new Ul(o));else if(o.size>0)throw Error(`macro ${e} takes no keyword argument '${o.keys().next().value}'`);if(n.has(`varargs`))i.setVariable(`varargs`,new K(a.slice(t.length)));else if(a.length>t.length)throw Error(`macro ${e} takes not more than ${t.length} argument(s)`);for(let[e,t]of s)i.setVariable(e,this.evaluate(t,i))}evaluateMacro(e,t){let n=su(e.args,e.body);return t.setVariable(e.name.value,new ql((t,r)=>{let i=new Ql(r);return this.bindMacroArguments(`'${e.name.value}'`,e.args,n,t,i),this.evaluateBlock(e.body,i)})),new Jl}evaluateCallStatement(e,t){let n=e.callerArgs??[],r=su(n,e.body),i=new ql(i=>{let a=new Ql(t);return this.bindMacroArguments(`None`,n,r,i,a),this.evaluateBlock(e.body,a)}),[a,o]=this.evaluateArguments(e.call.args,t);a.push(new Wl(o));let s=this.evaluate(e.call.callee,t);if(s.type!==`FunctionValue`)throw Error(`Cannot call something that is not a function: got ${s.type}`);let c=new Ql(t);return c.setVariable(`caller`,i),s.value(a,c)}evaluateFilterStatement(e,t){let n=this.evaluateBlock(e.body,t);return this.applyFilter(n,e.filter,t)}evaluate(e,t){if(!e)return new Yl;switch(e.type){case`Program`:return this.evalProgram(e,t);case`Set`:return this.evaluateSet(e,t);case`If`:return this.evaluateIf(e,t);case`For`:return 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t=e.length,n=e[0].length,r=[t+1,n+1],i=Array.from({length:r[0]},()=>Array(r[1]).fill(1/0));i[0][0]=0;let a=Array.from({length:r[0]},()=>Array(r[1]).fill(-1));for(let t=1;t<r[1];++t)for(let n=1;n<r[0];++n){let r=i[n-1][t-1],o=i[n-1][t],s=i[n][t-1],c,l;r<o&&r<s?(c=r,l=0):o<r&&o<s?(c=o,l=1):(c=s,l=2),i[n][t]=e[n-1][t-1]+c,a[n][t]=l}for(let e=0;e<r[1];++e)a[0][e]=2;for(let e=0;e<r[0];++e)a[e][0]=1;let o=t,s=n,c=[],l=[];for(;o>0||s>0;)switch(c.push(o-1),l.push(s-1),a[o][s]){case 0:--o,--s;break;case 1:--o;break;case 2:--s;break;default:throw Error(`Internal error in dynamic time warping. 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instanceof ServiceWorkerGlobalScope)&&$d.versions?.web&&!$d.wasm.wasmPaths){let e=`https://cdn.jsdelivr.net/npm/onnxruntime-web@${$d.versions.web}/dist/`,t=`.asyncify`;R.IS_SAFARI_BELOW_26&&!R.IS_WEBGPU_AVAILABLE&&(t=``),$d.wasm.wasmPaths={mjs:`${e}ort-wasm-simd-threaded${t}.mjs`,wasm:`${e}ort-wasm-simd-threaded${t}.wasm`}}$d.wasm.proxy=!1}$d.webgpu&&($d.webgpu.powerPreference=`high-performance`),e(z.logLevel??so.WARNING),z.backends.onnx={...$d,setLogLevel:e}}var tf=async(e,t,n)=>{let r=await Yd(new Uint8Array(e),t);return(async e=>{let t=ef(),i=Object.fromEntries(Object.entries(e).map(([e,n])=>[e,(t?n.clone():n).ort_tensor])),a=await Zd(r,i);return Array.isArray(n)?n.map(e=>new J(a[e])):new J(a[n])})},nf=class{static session_options={};static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||=tf([8,10,18,0,58,129,1,10,41,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,18,10,4,109,111,100,101,34,7,110,101,97,114,101,115,116,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,21],this.session_options,`y`),this._nearest_interpolate_4d}static get bilinear_interpolate_4d(){return this._bilinear_interpolate_4d||=tf([8,9,18,0,58,128,1,10,40,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,17,10,4,109,111,100,101,34,6,108,105,110,101,97,114,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,`y`),this._bilinear_interpolate_4d}static get bicubic_interpolate_4d(){return this._bicubic_interpolate_4d||=tf([8,9,18,0,58,127,10,39,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,16,10,4,109,111,100,101,34,5,99,117,98,105,99,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,`y`),this._bicubic_interpolate_4d}static get matmul(){return this._matmul||=tf([8,9,18,0,58,55,10,17,10,1,97,10,1,98,18,1,99,34,6,77,97,116,77,117,108,18,1,114,90,9,10,1,97,18,4,10,2,8,1,90,9,10,1,98,18,4,10,2,8,1,98,9,10,1,99,18,4,10,2,8,1,66,2,16,20],this.session_options,`c`),this._matmul}static get stft(){return this._stft||=tf([8,7,18,0,58,148,1,10,38,10,1,115,10,1,106,10,1,119,10,1,108,18,1,111,34,4,83,84,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,115,90,26,10,1,115,18,21,10,19,8,1,18,15,10,3,18,1,98,10,3,18,1,115,10,3,18,1,99,90,11,10,1,106,18,6,10,4,8,7,18,0,90,16,10,1,119,18,11,10,9,8,1,18,5,10,3,18,1,119,90,11,10,1,108,18,6,10,4,8,7,18,0,98,31,10,1,111,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,102,10,3,18,1,100,10,3,18,1,99,66,2,16,17],this.session_options,`o`),this._stft}static get rfft(){return this._rfft||=tf([8,9,58,93,10,33,10,1,120,10,0,10,1,97,18,1,121,34,3,68,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,100,90,19,10,1,120,18,14,10,12,8,1,18,8,10,0,10,0,10,2,8,1,90,11,10,1,97,18,6,10,4,8,7,18,0,98,19,10,1,121,18,14,10,12,8,1,18,8,10,0,10,0,10,2,8,2,66,2,16,20],this.session_options,`y`),this._rfft}static get top_k(){return this._top_k||=tf([8,10,18,0,58,73,10,18,10,1,120,10,1,107,18,1,118,18,1,105,34,4,84,111,112,75,18,1,116,90,9,10,1,120,18,4,10,2,8,1,90,15,10,1,107,18,10,10,8,8,7,18,4,10,2,8,1,98,9,10,1,118,18,4,10,2,8,1,98,9,10,1,105,18,4,10,2,8,7,66,2,16,21],this.session_options,[`v`,`i`]),this._top_k}static get slice(){return this._slice||=tf([8,7,18,0,58,96,10,25,10,1,120,10,1,115,10,1,101,10,1,97,10,1,116,18,1,121,34,5,83,108,105,99,101,18,1,114,90,9,10,1,120,18,4,10,2,8,1,90,9,10,1,115,18,4,10,2,8,7,90,9,10,1,101,18,4,10,2,8,7,90,9,10,1,97,18,4,10,2,8,7,90,9,10,1,116,18,4,10,2,8,7,98,9,10,1,121,18,4,10,2,8,1,66,2,16,13],this.session_options,`y`),this._slice}},rf=Object.freeze({auto:`auto`,gpu:`gpu`,cpu:`cpu`,wasm:`wasm`,webgpu:`webgpu`,cuda:`cuda`,dml:`dml`,coreml:`coreml`,webnn:`webnn`,"webnn-npu":`webnn-npu`,"webnn-gpu":`webnn-gpu`,"webnn-cpu":`webnn-cpu`}),af=R.IS_NODE_ENV?`cpu`:`wasm`;function of(e,t,{warn:n}={}){return e?typeof e==`string`?e:e.hasOwnProperty(t)?e[t]:(n&&n(`device not 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Use `tokenizer.batch_decode(...)` for batched inputs.");return e.tolist()[0];default:throw Error(`Expected tensor to have 1-2 dimensions, got ${t.length}.`)}}var Wf=[`bos_token`,`eos_token`,`unk_token`,`sep_token`,`pad_token`,`cls_token`,`mask_token`];function Gf(e,t,n,r){for(let i of Object.keys(e)){let a=t-e[i].length,o=n(i),s=Array(a).fill(o);e[i]=r===`right`?_o(e[i],s):_o(s,e[i])}}function Kf(e,t){for(let n of Object.keys(e))e[n].length=t}function qf(e,...t){for(let n of t){if(!Object.hasOwn(e,n))continue;let t=e[n];if(t){if(typeof t==`object`){if(t.__type===`AddedToken`)return t.content;throw Error(`Unknown token: ${t}`)}return t}}return null}function Jf(e){let t=[];for(let n of e.get_added_tokens_decoder().values())n.special&&t.push(n);return t}var Y=class extends uo{return_token_type_ids=!1;padding_side=`right`;constructor(e,t){if(super(),this._tokenizerJSON=e,this._tokenizerConfig=t,this._tokenizer=new Lc(e,t),this.config=t,this.padding_side=t.padding_side??this.padding_side,this.mask_token=qf(t,`mask_token`),this.mask_token_id=this._tokenizer.token_to_id(this.mask_token),this.pad_token=qf(t,`pad_token`,`eos_token`),this.pad_token_id=this._tokenizer.token_to_id(this.pad_token),this.sep_token=qf(t,`sep_token`),this.sep_token_id=this._tokenizer.token_to_id(this.sep_token),this.unk_token=qf(t,`unk_token`),this.unk_token_id=this._tokenizer.token_to_id(this.unk_token),this.bos_token=qf(t,`bos_token`),this.bos_token_id=this._tokenizer.token_to_id(this.bos_token),this.eos_token=qf(t,`eos_token`),this.eos_token_id=this._tokenizer.token_to_id(this.eos_token),this.chat_template=t.chat_template??null,Array.isArray(this.chat_template)){let e=Object.create(null);for(let{name:t,template:n}of this.chat_template){if(typeof t!=`string`||typeof n!=`string`)throw Error(`Chat template must be a list of objects with "name" and "template" properties`);e[t]=n}this.chat_template=e}this._compiled_template_cache=new Map;let n=Jf(this._tokenizer);this.all_special_ids=n.map(e=>e.id),this.all_special_tokens=n.map(e=>e.content)}static async from_pretrained(e,{progress_callback:t=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:a=`main`}={}){let o=await Hf(e,{progress_callback:t,config:n,cache_dir:r,local_files_only:i,revision:a});return new this(...o)}get_vocab(){return this._tokenizer.get_vocab()}get model_max_length(){return this._tokenizerConfig.model_max_length??1/0}get add_eos_token(){return this._tokenizerConfig.add_eos_token}get add_bos_token(){return this._tokenizerConfig.add_bos_token}convert_tokens_to_ids(e){return typeof e==`string`?this._tokenizer.token_to_id(e):e.map(e=>this._tokenizer.token_to_id(e))}_call(e,t={}){let{text_pair:n=null,add_special_tokens:r=!0,padding:i=!1,return_token_type_ids:a=null}=t,{truncation:o=null,max_length:s=null}=t,c=t.return_tensor??!0,l=Array.isArray(e),u;if(l){if(e.length===0)throw Error(`text array must be non-empty`);if(n!==null){if(!Array.isArray(n))throw Error(`text_pair must also be an array`);if(e.length!==n.length)throw Error(`text and text_pair must have the same length`);u=e.map((e,t)=>this._encode_plus(e,{text_pair:n[t],add_special_tokens:r,return_token_type_ids:a}))}else u=e.map(e=>this._encode_plus(e,{add_special_tokens:r,return_token_type_ids:a}))}else{if(e==null)throw Error(`text may not be null or undefined`);if(Array.isArray(n))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");u=[this._encode_plus(e,{text_pair:n,add_special_tokens:r,return_token_type_ids:a})]}if(s===null?s=this.model_max_length:o===null&&(i===!0?(B.warn("`max_length` is ignored when `padding: true` and there is no truncation strategy. 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Specify `power` to fix this issue.");if(!u)throw Error("`preemphasis_htk_flavor=false` is not currently supported.");if(o){let t=Math.floor(n/2);switch(s){case`reflect`:e=ym(e,t,t);break;case`constant`:{let n=new e.constructor(e.length+2*t);n.set(e,t),e=n;break}case`semicausal`:{let n=new e.constructor(e.length+t);n.set(e,t),e=n;break}default:throw Error(`pad_mode="${s}" not implemented yet.`)}}let T=Math.floor(1+Math.floor((e.length-n)/r));y!==null&&T<y&&(T=y);let E=c?Math.floor(i/2)+1:i,te=T,D=T;b!==null&&(b>T?x&&(D=b):D=te=b);let O=new Dd(i),ne=new Float64Array(i),re=new Float64Array(O.outputBufferSize),ie=new Float32Array(E*D);for(let i=0;i<te;++i){let a=i*r,o=Math.min(e.length-a,n);o!==n&&ne.fill(0,0,n);for(let t=0;t<o;++t)ne[t]=e[a+t];if(v){let e=0;for(let t=0;t<o;++t)e+=ne[t];let t=e/o;for(let e=0;e<o;++e)ne[e]-=t}if(l!==null){for(let e=o-1;e>=1;--e)ne[e]-=l*ne[e-1];ne[0]*=1-l}for(let e=0;e<t.length;++e)ne[e]*=t[e];O.realTransform(re,ne);for(let e=0;e<E;++e){let t=e<<1;ie[e*D+i]=re[t]**2+re[t+1]**2}}if(a!==null&&a!==2){let e=a/2;for(let t=0;t<ie.length;++t)ie[t]**=e}let ae=d.length,oe=await vf(new J(`float32`,d.flat(),[ae,E]),new J(`float32`,ie,[E,D]));S&&(oe=oe.transpose(1,0));let se=oe.data;if(ee===`add`)for(let e=0;e<se.length;++e)se[e]=C+se[e]+f;else for(let e=0;e<se.length;++e)se[e]=C+Math.max(f,se[e]);if(a!==null&&p!==null){let e=Math.min(se.length,te*ae);switch(p){case`log`:for(let t=0;t<e;++t)se[t]=Math.log(se[t]);break;case`log10`:for(let t=0;t<e;++t)se[t]=Math.log10(se[t]);break;case`log10_max_norm`:{for(let t=0;t<e;++t)se[t]=Math.log10(se[t]);let t=(m??Cd(se)[0])-8;for(let n=0;n<e;++n)se[n]=(Math.max(se[n],t)+4)/4;break}case`dB`:if(a===1)xm(se,h,g,_);else if(a===2)Sm(se,h,g,_);else throw Error(`Cannot use log_mel option '${p}' with power ${a}`);break;default:throw Error(`log_mel must be one of null, 'log', 'log10', 'log10_max_norm', or 'dB'. Got '${p}'`)}}return oe}function wm(e,t,{periodic:n=!0,frame_length:r=null,center:i=!0}={}){let a=n?e+1:e,o;switch(t){case`boxcar`:o=new Float64Array(a).fill(1);break;case`hann`:case`hann_window`:o=um(a);break;case`hamming`:o=dm(a);break;case`povey`:o=um(a).map(e=>e**.85);break;default:throw Error(`Unknown window type ${t}.`)}if(n&&(o=o.subarray(0,e)),r===null||e===r)return o;if(e>r)throw Error(`Length of the window (${e}) may not be larger than frame_length (${r})`);let s=new Float64Array(r),c=i?Math.floor((r-e)/2):0;return s.set(o,c),s}function Tm(e,t){let n=e.reduce((e,t)=>e+t.length,0),r=new ArrayBuffer(44),i=new DataView(r);return Em(i,0,`RIFF`),i.setUint32(4,36+n*4,!0),Em(i,8,`WAVE`),Em(i,12,`fmt `),i.setUint32(16,16,!0),i.setUint16(20,3,!0),i.setUint16(22,1,!0),i.setUint32(24,t,!0),i.setUint32(28,t*4,!0),i.setUint16(32,4,!0),i.setUint16(34,32,!0),Em(i,36,`data`),i.setUint32(40,n*4,!0),new Blob([r,...e.map(e=>e.buffer instanceof ArrayBuffer?new Uint8Array(e.buffer,e.byteOffset,e.byteLength):e.slice())],{type:`audio/wav`})}function Em(e,t,n){for(let r=0;r<n.length;++r)e.setUint8(t+r,n.charCodeAt(r))}var Dm=class{constructor(e,t){this.audio=e,this.sampling_rate=t}get data(){if(Array.isArray(this.audio)){if(this.audio.length===0)return new Float32Array;if(this.audio.length===1)return this.audio[0];let e=this.audio.reduce((e,t)=>e+t.length,0),t=new Float32Array(e),n=0;for(let e of this.audio)t.set(e,n),n+=e.length;return t}return this.audio}toBlob(){let e=this.audio;return e instanceof Float32Array&&(e=[e]),Tm(e,this.sampling_rate)}async save(e){return om(e,this.toBlob())}},Om=class extends nm{constructor(e){super(e);let t=this.config.sampling_rate,n=vm(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0);this.mel_filters=n,this.window=wm(400,`hann`,{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(e,t){return Cm(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e){rm(e,`ASTFeatureExtractor`);let t=await this._extract_fbank_features(e,this.config.max_length);if(this.config.do_normalize){let e=this.std*2,n=t.data;for(let t=0;t<n.length;++t)n[t]=(n[t]-this.mean)/e}return{input_values:t.unsqueeze_(0)}}},km=class extends nm{async _call(e){rm(e,`EncodecFeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=this.config.feature_size;if(e.length%t!==0)throw Error(`The length of the audio data must be a multiple of the number of channels (${t}).`);let n=[1,t,e.length/t];return{input_values:new J(`float32`,e,n)}}},Am=class extends nm{async _call(e){rm(e,`ChatterboxFeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=[1,e.length];return{input_values:new J(`float32`,e,t)}}},jm=class extends nm{constructor(e){super(e),this.mel_filters=vm(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,`htk`),this.mel_filters_slaney=vm(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,`slaney`,`slaney`),this.window=wm(this.config.fft_window_size,`hann`)}async _get_input_mel(e,t,n,r){let i,a=e.length-t;if(a>0){if(n===`rand_trunc`){let n=Math.floor(Fu.random()*(a+1));e=e.subarray(n,n+t),i=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}else throw Error(`Truncation strategy "${n}" not implemented`)}else{if(a<0){let n=new Float64Array(t);if(n.set(e),r===`repeat`)for(let r=e.length;r<t;r+=e.length)n.set(e.subarray(0,Math.min(e.length,t-r)),r);else if(r===`repeatpad`)for(let t=e.length;t<-a;t+=e.length)n.set(e,t);e=n}if(n===`fusion`)throw Error(`Truncation strategy "${n}" not implemented`);i=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}return i.unsqueeze_(0)}async _extract_fbank_features(e,t,n=null){return Cm(e,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:t,log_mel:`dB`,max_num_frames:n,do_pad:!1,transpose:!0})}async _call(e,{max_length:t=null}={}){return rm(e,`ClapFeatureExtractor`),{input_features:(await this._get_input_mel(e,t??this.config.nb_max_samples,this.config.truncation,this.config.padding)).unsqueeze_(0)}}},Mm=1e-5,Nm=class extends nm{constructor(e){super(e),this.config.mel_filters??=vm(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,this.config.sampling_rate/2,this.config.sampling_rate,`slaney`,`slaney`);let t=wm(this.config.win_length,`hann`,{periodic:!1});this.window=new Float64Array(this.config.n_fft);let n=Math.floor((this.config.n_fft-this.config.win_length)/2);this.window.set(t,n)}async _extract_fbank_features(e){let t=this.config.preemphasis;e=new Float64Array(e);for(let n=e.length-1;n>=1;--n)e[n]-=t*e[n-1];return await Cm(e,this.window,this.window.length,this.config.hop_length,{fft_length:this.config.n_fft,power:2,mel_filters:this.config.mel_filters,log_mel:`log`,mel_floor:-1/0,pad_mode:`constant`,center:!0,transpose:!0,mel_offset:2**-24})}async _call(e){rm(e,`ParakeetFeatureExtractor`);let t=await this._extract_fbank_features(e),n=Math.floor((e.length+Math.floor(this.config.n_fft/2)*2-this.config.n_fft)/this.config.hop_length),r=t.data;r.fill(0,n*t.dims[1]);let[i,a]=t.dims,o=new Float64Array(a),s=new Float64Array(a);for(let e=0;e<n;++e){let t=e*a;for(let e=0;e<a;++e){let n=r[t+e];o[e]+=n,s[e]+=n*n}}let c=n>1?n-1:1;for(let e=0;e<a;++e){let t=o[e]/n,i=(s[e]-n*t*t)/c,l=1/(Math.sqrt(i)+Mm);for(let i=0;i<n;++i){let n=i*a+e;r[n]=(r[n]-t)*l}}let l=new BigInt64Array(i);return l.fill(1n,0,n),{input_features:t.unsqueeze_(0),attention_mask:new J(`int64`,l,[1,i])}}},Pm=class extends Nm{_apply_dither(e){let t=this.config.dither??0;if(t<=0)return e;let n=new Mu(e.length);for(let r=0;r<e.length;++r)e[r]+=t*n.gauss();return e}split_audio(e){let t=this.config.max_audio_clip_s??35,n=this.config.overlap_chunk_second??5,r=this.config.min_energy_window_samples??1600,i=this.config.sampling_rate,a=Math.max(1,Math.round(t*i)),o=Math.max(1,Math.round(n*i));if(e.length<=a)return[e];let s=[],c=0,l=e.length;for(;c<l;){if(c+a>=l){s.push(e.slice(c,l));break}let t=Math.max(c,c+a-o),n=Math.min(c+a,l),i;i=n<=t?c+a:this._find_split_point_energy(e,t,n,r),i=Math.max(c+1,Math.min(i,l)),s.push(e.slice(c,i)),c=i}return s}_find_split_point_energy(e,t,n,r){let i=n-t;if(i<=r)return Math.floor((t+n)/2);let a=1/0,o=t,s=i-r;for(let n=0;n<=s;n+=r){let i=0;for(let a=0;a<r;++a){let r=e[t+n+a];i+=r*r}i=Math.sqrt(i/r),i<a&&(a=i,o=t+n)}return o}async _call(e){rm(e,`CohereAsrFeatureExtractor`);let t=new Float64Array(e);return this._apply_dither(t),super._call(t)}},Fm=class extends km{},Im=class extends nm{constructor(e){super(e);let{fft_length:t,feature_size:n,min_frequency:r,max_frequency:i,sampling_rate:a,frame_length:o}=this.config,s=vm(Math.floor(1+t/2),n,r,i,a,null,`htk`,!1);this.mel_filters=s,this.window=wm(o,`hann`)}async _extract_fbank_features(e,t){return Cm(e,this.window,this.config.frame_length,this.config.hop_length,{fft_length:this.config.fft_length,center:!1,onesided:!0,preemphasis:this.config.preemphasis,preemphasis_htk_flavor:this.config.preemphasis_htk_flavor,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:this.config.mel_floor,remove_dc_offset:!1,transpose:!0})}async _call(e,{max_length:t=48e4,truncation:n=!0,padding:r=!0,pad_to_multiple_of:i=128}={}){if(rm(e,`Gemma3nAudioFeatureExtractor`),n&&e.length>t&&(e=e.slice(0,t)),r&&e.length%i!==0){let t=i-e.length%i,n=new Float64Array(e.length+t);n.set(e),this.config.padding_value!==0&&n.fill(this.config.padding_value,e.length),e=n}let a=await this._extract_fbank_features(e,this.config.max_length),o=Nf([1,a.dims[0]],!0);return{input_features:a.unsqueeze_(0),input_features_mask:o}}},Lm=class extends Im{async _extract_fbank_features(e,t){let{frame_length:n,hop_length:r,fft_length:i}=this.config,a=Math.floor(n/2),o=Math.floor((e.length+a-(n+1))/r)+1;return Cm(e,this.window,n,r,{fft_length:i,center:!0,pad_mode:`semicausal`,onesided:!0,preemphasis:this.config.preemphasis,preemphasis_htk_flavor:this.config.preemphasis_htk_flavor,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:this.config.mel_floor,mel_floor_mode:`add`,remove_dc_offset:!1,transpose:!0,max_num_frames:o})}async _call(e,t={}){rm(e,`Gemma4AudioFeatureExtractor`);let n=e.length,r=await super._call(e,t),{input_features:i}=r,[,a,o]=i.dims,{frame_length:s,hop_length:c}=this.config,l=Math.floor(s/2),u=s+1,d=new Uint8Array(n+l+(t.pad_to_multiple_of??128));d.fill(1,l,l+n);let f=new Uint8Array(a);for(let e=0;e<a;++e)f[e]=+!!d[e*c+u-1];let p=i.data;for(let e=0;e<a;++e)f[e]||p.fill(0,e*o,(e+1)*o);return r.input_features_mask=new J(`bool`,f,[1,a]),r}},Rm=class extends nm{constructor(e){super(e);let{n_fft:t,win_length:n,n_mels:r,sample_rate:i}=e.melspec_kwargs;this.mel_filters=vm(Math.floor(1+t/2),r,0,i/2,i,null,`htk`);let a=wm(n,`hann`);this.window=new Float64Array(t);let o=Math.floor((t-n)/2);this.window.set(a,o)}async _call(e){rm(e,`GraniteSpeechFeatureExtractor`);let{n_fft:t,hop_length:n,n_mels:r}=this.config.melspec_kwargs,i=Math.floor(e.length/n)+1,a=i-i%2;return{input_features:(await Cm(e,this.window,t,n,{power:2,mel_filters:this.mel_filters,log_mel:`log10_max_norm`,transpose:!0,max_num_frames:a,do_pad:!1})).view(-1,2*r).unsqueeze_(0)}}},zm=class extends nm{async _call(e){rm(e,`MoonshineFeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=[1,e.length];return{input_values:new J(`float32`,e,t)}}},Bm=class extends nm{async _call(e){rm(e,`PyAnnoteFeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=[1,1,e.length];return{input_values:new J(`float32`,e,t)}}samples_to_frames(e){return(e-this.config.offset)/this.config.step}post_process_speaker_diarization(e,t){let n=t/this.samples_to_frames(t)/this.config.sampling_rate,r=[];for(let t of e.tolist()){let e=[],i=-1;for(let n=0;n<t.length;++n){let[r,a]=Cd(bd(t[n])),[o,s]=[n,n+1];a===i?(e.at(-1).end=s,e.at(-1).score+=r):(i=a,e.push({id:a,start:o,end:s,score:r}))}r.push(e.map(({id:e,start:t,end:r,score:i})=>({id:e,start:t*n,end:r*n,confidence:i/(r-t)})))}return r}},Vm=class extends nm{constructor(e){super(e);let t=this.config.sampling_rate,n=vm(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0);this.mel_filters=n,this.window=wm(400,`povey`,{periodic:!1})}async _extract_fbank_features(e,t){return e=e.map(e=>e*32768),Cm(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e,{padding:t=!0,pad_to_multiple_of:n=2,do_normalize_per_mel_bins:r=!0,return_attention_mask:i=!0}={}){rm(e,`SeamlessM4TFeatureExtractor`);let a=await this._extract_fbank_features(e,this.config.max_length);if(r){let[e,t]=a.dims,n=a.data;for(let r=0;r<t;++r){let i=0;for(let a=0;a<e;++a)i+=n[a*t+r];let a=i/e,o=0;for(let i=0;i<e;++i)o+=(n[i*t+r]-a)**2;o/=e-1;let s=Math.sqrt(o+1e-7);for(let i=0;i<e;++i){let e=i*t+r;n[e]=(n[e]-a)/s}}}let o;if(t){let[e,t]=a.dims,r=a.data,s=e%n;if(s>0){let n=new Float32Array(t*(e+s));n.set(r),n.fill(this.config.padding_value,r.length);let c=e+s;a=new J(a.type,n,[c,t]),i&&(o=new J(`int64`,new BigInt64Array(c),[1,c]),o.data.fill(1n,0,e))}}let[s,c]=a.dims,l=this.config.stride;if(s%l!==0)throw Error(`The number of frames (${s}) must be a multiple of the stride (${l}).`);let u=a.view(1,Math.floor(s/l),c*l),d={input_features:u};if(i){let e=u.dims[1],t=new BigInt64Array(e);if(o){let e=o.data;for(let n=1,r=0;n<s;n+=l,++r)t[r]=e[n]}else t.fill(1n);d.attention_mask=new J(`int64`,t,[1,e])}return d}},Hm=class extends Fm{},Um=class extends nm{},Wm=class extends nm{_zero_mean_unit_var_norm(e){let t=e.reduce((e,t)=>e+t,0)/e.length,n=e.reduce((e,n)=>e+(n-t)**2,0)/e.length;return e.map(e=>(e-t)/Math.sqrt(n+1e-7))}async _call(e){rm(e,`Wav2Vec2FeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=e;this.config.do_normalize&&(t=this._zero_mean_unit_var_norm(t));let n=[1,t.length];return{input_values:new J(`float32`,t,n),attention_mask:new J(`int64`,new BigInt64Array(t.length).fill(1n),n)}}},Gm=class extends nm{constructor(e){super(e);let t=this.config.sampling_rate,n=vm(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0);this.mel_filters=n,this.window=wm(400,`hamming`,{periodic:!1}),this.min_num_frames=this.config.min_num_frames}async _extract_fbank_features(e){return e=e.map(e=>e*32768),Cm(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,transpose:!0,min_num_frames:this.min_num_frames})}async _call(e){rm(e,`WeSpeakerFeatureExtractor`);let t=(await this._extract_fbank_features(e)).unsqueeze_(0);if(this.config.fbank_centering_span===null){let e=t.mean(1).data,n=t.data,[r,i,a]=t.dims;for(let t=0;t<r;++t){let r=t*i*a,o=t*a;for(let t=0;t<i;++t){let i=r+t*a;for(let t=0;t<a;++t)n[i+t]-=e[o+t]}}}return{input_features:t}}},Km=class extends nm{constructor(e){super(e),this.config.mel_filters??=vm(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,`slaney`,`slaney`),this.window=wm(this.config.n_fft,`hann`)}async _extract_fbank_features(e,{center:t=!0}={}){let{n_fft:n,hop_length:r,mel_filters:i,global_log_mel_max:a}=this.config,o=Math.floor(t?e.length/r:(e.length-n)/r);return await Cm(e,this.window,n,r,{power:2,mel_filters:i,log_mel:`log10_max_norm`,max_log_mel:a,center:t,max_num_frames:o,do_pad:!1})}async _call(e,{center:t=!0}={}){return rm(e,`VoxtralRealtimeFeatureExtractor`),{input_features:(await this._extract_fbank_features(e,{center:t})).unsqueeze_(0)}}},qm=class extends nm{constructor(e){super(e),this.config.mel_filters??=vm(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,`slaney`,`slaney`),this.window=wm(this.config.n_fft,`hann`)}async _extract_fbank_features(e){return await Cm(e,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:`log10_max_norm`,max_num_frames:Math.min(Math.floor(e.length/this.config.hop_length),this.config.nb_max_frames)})}async _call(e,{max_length:t=null}={}){rm(e,`WhisperFeatureExtractor`);let n,r=t??this.config.n_samples;return e.length>r?(e.length>this.config.n_samples&&B.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),n=e.slice(0,r)):(n=new Float32Array(r),n.set(e)),{input_features:(await this._extract_fbank_features(n)).unsqueeze_(0)}}},Jm=class{static async from_pretrained(e,t={}){let n=await _d(e,Zp,!0,t),r=n.feature_extractor_type,i=im[r];if(!i)throw Error(`Unknown feature_extractor_type: '${r}'. Please report this at ${Xp}.`);return new i(n)}},Ym=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;async _call(e,t=null){let n=this.tokenizer(e),r=t?await this.feature_extractor(t):{};return{...n,...r}}},Xm=new Set([`ja`,`zh`]),Zm=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;static uses_processor_config=!0;get_decoder_prompt_ids(e=`en`){let t=[`▁`,`<|startofcontext|>`,`<|startoftranscript|>`,`<|emo:undefined|>`,`<|${e}|>`,`<|${e}|>`,`<|pnc|>`,`<|noitn|>`,`<|notimestamp|>`,`<|nodiarize|>`];return this.tokenizer.convert_tokens_to_ids(t)}static join_chunks(e,t=`en`){let n=e.filter(e=>e&&e.trim());if(n.length===0)return``;let r=Xm.has(t)?``:` `;return[n[0].trimEnd(),...n.slice(1).map(e=>e.trim())].join(r)}async _call(e){return await this.feature_extractor(e)}},Qm={},$m,eh,th;if(R.IS_WEB_ENV)$m=(e,t)=>{if(!self.OffscreenCanvas)throw Error(`OffscreenCanvas not supported by this environment.`);return new self.OffscreenCanvas(e,t)},th=self.createImageBitmap,eh=self.ImageData;else if(Qm)th=async e=>{let t=(await e.metadata()).channels,{data:n,info:r}=await e.rotate().raw().toBuffer({resolveWithObject:!0}),i=new ih(new Uint8ClampedArray(n),r.width,r.height,r.channels);return t!==void 0&&t!==r.channels&&i.convert(t),i};else throw Error(`Unable to load image processing library.`);var nh={0:`nearest`,1:`lanczos`,2:`bilinear`,3:`bicubic`,4:`box`,5:`hamming`},rh=new Map([[`png`,`image/png`],[`jpg`,`image/jpeg`],[`jpeg`,`image/jpeg`],[`gif`,`image/gif`]]),ih=class e{constructor(e,t,n,r){this.data=e,this.width=t,this.height=n,this.channels=r}get size(){return[this.width,this.height]}static async read(t){if(t instanceof e)return t;if(typeof t==`string`||t instanceof URL)return await this.fromURL(t);if(t instanceof Blob)return await this.fromBlob(t);if(typeof HTMLCanvasElement<`u`&&t instanceof HTMLCanvasElement||typeof OffscreenCanvas<`u`&&t instanceof OffscreenCanvas)return this.fromCanvas(t);throw Error(`Unsupported input type: ${typeof t}`)}static fromCanvas(t){if(!R.IS_WEB_ENV)throw Error(`fromCanvas() is only supported in browser environments.`);let n=t.getContext(`2d`).getImageData(0,0,t.width,t.height).data;return new e(n,t.width,t.height,4)}static async fromURL(e){let t=await cd(e);if(t.status!==200)throw Error(`Unable to read image from "${e}" (${t.status} ${t.statusText})`);let n=await t.blob();return this.fromBlob(n)}static async fromBlob(e){if(R.IS_WEB_ENV){let t=await th(e),n=$m(t.width,t.height).getContext(`2d`);return n.drawImage(t,0,0),new this(n.getImageData(0,0,t.width,t.height).data,t.width,t.height,4)}{let t=Qm(await e.arrayBuffer());return await th(t)}}static fromTensor(t,n=`CHW`){if(t.dims.length!==3)throw Error(`Tensor should have 3 dimensions, but has ${t.dims.length} dimensions.`);if(n===`CHW`)t=t.permute(1,2,0);else if(n!==`HWC`)throw Error(`Unsupported channel format: ${n}`);if(!(t.data instanceof Uint8ClampedArray||t.data instanceof Uint8Array))throw Error(`Unsupported tensor type: ${t.type}`);switch(t.dims[2]){case 1:case 2:case 3:case 4:return new e(t.data,t.dims[1],t.dims[0],t.dims[2]);default:throw Error(`Unsupported number of channels: ${t.dims[2]}`)}}grayscale(){if(this.channels===1)return this;let e=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let t=0,n=0;t<this.data.length;t+=this.channels){let r=this.data[t],i=this.data[t+1],a=this.data[t+2];e[n++]=Math.round(.2989*r+.587*i+.114*a)}break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(e,this.width,this.height,1)}rgb(){if(this.channels===3)return this;let e=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let t=0,n=0;t<this.data.length;++t)e[n++]=this.data[t],e[n++]=this.data[t],e[n++]=this.data[t];break;case 4:for(let t=0,n=0;t<this.data.length;t+=4)e[n++]=this.data[t],e[n++]=this.data[t+1],e[n++]=this.data[t+2];break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(e,this.width,this.height,3)}rgba(){if(this.channels===4)return this;let e=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let t=0,n=0;t<this.data.length;++t)e[n++]=this.data[t],e[n++]=this.data[t],e[n++]=this.data[t],e[n++]=255;break;case 3:for(let t=0,n=0;t<this.data.length;t+=3)e[n++]=this.data[t],e[n++]=this.data[t+1],e[n++]=this.data[t+2],e[n++]=255;break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(e,this.width,this.height,4)}putAlpha(e){if(e.width!==this.width||e.height!==this.height)throw Error(`Expected mask size to be ${this.width}x${this.height}, but got ${e.width}x${e.height}`);if(e.channels!==1)throw Error(`Expected mask to have 1 channel, but got ${e.channels}`);let t=this.data,n=e.data,r=this.width*this.height;if(this.channels===3){let e=new Uint8ClampedArray(r*4);for(let i=0,a=0,o=0;i<r;++i)e[o++]=t[a++],e[o++]=t[a++],e[o++]=t[a++],e[o++]=n[i];return this._update(e,this.width,this.height,4)}if(this.channels===4){for(let e=0;e<r;++e)t[4*e+3]=n[e];return this}throw Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`)}async resize(t,n,{resample:r=2}={}){if(this.width===t&&this.height===n)return this;let i=nh[r]??r,a=ho(t),o=ho(n);if(a&&o)return this;if(a?t=n/this.height*this.width:o&&(n=t/this.width*this.height),R.IS_WEB_ENV){let r=this.channels,i=this.toCanvas(),a=$m(t,n).getContext(`2d`);return a.drawImage(i,0,0,t,n),new e(a.getImageData(0,0,t,n).data,t,n,4).convert(r)}{let e=this.toSharp();switch(i){case`box`:case`hamming`:(i===`box`||i===`hamming`)&&(B.warn(`Resampling method ${i} is not yet supported. Using bilinear instead.`),i=`bilinear`);case`nearest`:case`bilinear`:case`bicubic`:e=e.affine([t/this.width,0,0,n/this.height],{interpolator:i});break;case`lanczos`:e=e.resize({width:t,height:n,fit:`fill`,kernel:`lanczos3`});break;default:throw Error(`Resampling method ${i} is not supported.`)}return await th(e)}}async pad([t,n,r,i]){if(t=Math.max(t,0),n=Math.max(n,0),r=Math.max(r,0),i=Math.max(i,0),t===0&&n===0&&r===0&&i===0)return this;if(R.IS_WEB_ENV){let a=this.channels,o=this.toCanvas(),s=this.width+t+n,c=this.height+r+i,l=$m(s,c).getContext(`2d`);return l.drawImage(o,0,0,this.width,this.height,t,r,this.width,this.height),new e(l.getImageData(0,0,s,c).data,s,c,4).convert(a)}{let e=this.toSharp().extend({left:t,right:n,top:r,bottom:i});return await th(e)}}async crop([t,n,r,i]){if(t=Math.max(t,0),n=Math.max(n,0),r=Math.min(r,this.width-1),i=Math.min(i,this.height-1),t===0&&n===0&&r===this.width-1&&i===this.height-1)return this;let a=r-t+1,o=i-n+1;if(R.IS_WEB_ENV){let r=this.channels,i=this.toCanvas(),s=$m(a,o).getContext(`2d`);return s.drawImage(i,t,n,a,o,0,0,a,o),new e(s.getImageData(0,0,a,o).data,a,o,4).convert(r)}{let e=this.toSharp().extract({left:t,top:n,width:a,height:o});return await th(e)}}async center_crop(t,n){if(this.width===t&&this.height===n)return this;let r=(this.width-t)/2,i=(this.height-n)/2;if(R.IS_WEB_ENV){let a=this.channels,o=this.toCanvas(),s=$m(t,n).getContext(`2d`),c=0,l=0,u=0,d=0;return r>=0?c=r:u=-r,i>=0?l=i:d=-i,s.drawImage(o,c,l,t,n,u,d,t,n),new e(s.getImageData(0,0,t,n).data,t,n,4).convert(a)}{let e=this.toSharp();if(r>=0&&i>=0)e=e.extract({left:Math.floor(r),top:Math.floor(i),width:t,height:n});else if(r<=0&&i<=0){let a=Math.floor(-i),o=Math.floor(-r);e=e.extend({top:a,left:o,right:t-this.width-o,bottom:n-this.height-a})}else{let a=[0,0],o=0;i<0?(a[0]=Math.floor(-i),a[1]=n-this.height-a[0]):o=Math.floor(i);let s=[0,0],c=0;r<0?(s[0]=Math.floor(-r),s[1]=t-this.width-s[0]):c=Math.floor(r),e=e.extend({top:a[0],bottom:a[1],left:s[0],right:s[1]}).extract({left:c,top:o,width:t,height:n})}return await th(e)}}async toBlob(e=`image/png`,t=1){if(!R.IS_WEB_ENV)throw Error(`toBlob() is only supported in browser environments.`);return await this.toCanvas().convertToBlob({type:e,quality:t})}toTensor(e=`CHW`){let t=new J(`uint8`,new Uint8Array(this.data),[this.height,this.width,this.channels]);if(e!==`HWC`){if(e===`CHW`)t=t.permute(2,0,1);else throw Error(`Unsupported channel format: ${e}`)}return t}toCanvas(){if(!R.IS_WEB_ENV)throw Error(`toCanvas() is only supported in browser environments.`);let e=this.clone().rgba(),t=$m(e.width,e.height),n=new eh(e.data,e.width,e.height);return t.getContext(`2d`).putImageData(n,0,0),t}split(){let{data:t,width:n,height:r,channels:i}=this,a=t.constructor,o=t.length/i,s=Array.from({length:i},()=>new a(o));for(let e=0;e<o;++e){let n=i*e;for(let r=0;r<i;++r)s[r][e]=t[n+r]}return s.map(t=>new e(t,n,r,1))}_update(e,t,n,r=null){return this.data=e,this.width=t,this.height=n,r!==null&&(this.channels=r),this}clone(){return new e(this.data.slice(),this.width,this.height,this.channels)}convert(e){if(this.channels===e)return this;switch(e){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(e){if(R.IS_WEB_ENV){if(R.IS_WEBWORKER_ENV)throw Error(`Unable to save an image from a Web Worker.`);let t=e.split(`.`).pop().toLowerCase(),n=rh.get(t)??`image/png`;return om(e,await this.toBlob(n))}if(R.IS_FS_AVAILABLE)await this.toSharp().toFile(e);else throw Error(`Unable to save the image because filesystem is disabled in this environment.`)}toSharp(){if(R.IS_WEB_ENV)throw Error(`toSharp() is only supported in server-side environments.`);return Qm(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}};ih.read.bind(ih);function ah(e,t,n=0,r=null){let i=e/t,a=Ad(i)*t;return r!==null&&a>r&&(a=Math.floor(i)*t),a<n&&(a=Math.ceil(i)*t),a}function oh([e,t],n){return[Math.max(Math.floor(e/n),1)*n,Math.max(Math.floor(t/n),1)*n]}function sh([e,t,n,r]){return[e-n/2,t-r/2,e+n/2,t+r/2]}function ch(e,t=.5,n=null,r=!1){let i=e.logits,a=e.pred_boxes,[o,s,c]=i.dims;if(n!==null&&n.length!==o)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let l=[];for(let e=0;e<o;++e){let o=n===null?null:n[e],u={boxes:[],classes:[],scores:[]},d=i[e],f=a[e];for(let e=0;e<s;++e){let n=d[e],i=[],a;if(r){a=n.sigmoid().data;for(let e=0;e<a.length;++e)a[e]>t&&i.push(e)}else{let e=Cd(n.data)[1];if(e===c-1||(a=bd(n.data),a[e]<t))continue;i.push(e)}for(let t of i){let n=f[e].data;n=sh(n),o!==null&&(n=n.map((e,t)=>e*o[(t+1)%2])),u.boxes.push(n),u.classes.push(t),u.scores.push(a[t])}}l.push(u)}return l}function lh(e,t=null){let n=e.logits,r=n.dims[0];if(t!==null&&t.length!==r)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let i=[];for(let e=0;e<r;++e){let r=t===null?null:t[e],a=n[e];r!==null&&(a=gf(a,r,`bilinear`,!1));let[o,s]=r??a.dims.slice(-2),c=new J(`int32`,new Int32Array(o*s),[o,s]),l=a[0].data,u=c.data;for(let e=1;e<a.dims[0];++e){let t=a[e].data;for(let n=0;n<t.length;++n)t[n]>l[n]&&(l[n]=t[n],u[n]=e)}let d=Array(a.dims[0]);for(let e=0;e<u.length;++e){let t=u[e];d[t]=t}let f=d.filter(e=>e!==void 0);i.push({segmentation:c,labels:f})}return i}function uh(e,t,n,r){let i=[],a=[],o=[];for(let s=0;s<e.dims[0];++s){let c=e[s],l=t[s],u=Cd(c.data)[1];if(u===r)continue;let d=bd(c.data)[u];d>n&&(i.push(l),a.push(d),o.push(u))}return[i,a,o]}function dh(e,t,n,r=.5,i=.8){let a=[],o=0,s=0,c=t[n].data;for(let t=0;t<e.length;++t)e[t]===n&&(a.push(t),++o),c[t]>=r&&++s;let l=o>0&&s>0;return l&&=o/s>i,[l,a]}function fh(e,t,n,r,i,a=null,o=null){let[s,c]=o??e[0].dims,l=new J(`int32`,new Int32Array(s*c),[s,c]),u=[];if(o!==null)for(let t=0;t<e.length;++t)e[t]=gf(e[t],o,`bilinear`,!1);let d=new Int32Array(e[0].data.length),f=new Float32Array(e[0].data.length);for(let n=0;n<e.length;++n){let r=t[n],i=e[n].data;for(let e=0;e<i.length;++e)i[e]*=r,i[e]>f[e]&&(d[e]=n,f[e]=i[e])}let p=0,m=l.data;for(let a=0;a<n.length;++a){let o=n[a],[s,c]=dh(d,e,a,r,i);if(s){++p;for(let e of c)m[e]=p;u.push({id:p,label_id:o,score:t[a]})}}return[l,u]}function ph(e,t,n=28,r=3136,i=1003520,a=1){if(e<n||t<n){let r=Math.max(n/e,n/t);e=Math.round(e*r),t=Math.round(t*r)}if(Math.max(e,t)/Math.min(e,t)>200)throw Error(`absolute aspect ratio must be smaller than 200, got ${Math.max(e,t)/Math.min(e,t)}`);let o=Math.round(e/n)*n,s=Math.round(t/n)*n;if(a*o*s>i){let r=Math.sqrt(a*e*t/i);o=Math.max(n,Math.floor(e/r/n)*n),s=Math.max(n,Math.floor(t/r/n)*n)}else if(a*o*s<r){let i=Math.sqrt(r/(a*e*t));o=Math.ceil(e*i/n)*n,s=Math.ceil(t*i/n)*n}return[s,o]}function mh(e,t=.5,n=.5,r=.8,i=null,a=null){i===null&&(B.warn("`label_ids_to_fuse` unset. No instance will be fused."),i=new Set);let o=e.class_queries_logits??e.logits,s=(e.masks_queries_logits??e.pred_masks).sigmoid(),[c,l,u]=o.dims;if(--u,a!==null&&a.length!==c)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let d=[];for(let e=0;e<c;++e){let c=a===null?null:a[e],l=o[e],f=s[e],[p,m,h]=uh(l,f,t,u);if(h.length===0){let[e,t]=c??f.dims.slice(-2),n=new J(`int32`,new Int32Array(e*t).fill(-1),[e,t]);d.push({segmentation:n,segments_info:[]});continue}let[g,_]=fh(p,m,h,n,r,i,c);d.push({segmentation:g,segments_info:_})}return d}function hh(e,t=.5,n=null){throw Error("`post_process_instance_segmentation` is not yet implemented.")}var X=class extends uo{constructor(e){super(),this.image_mean=e.image_mean??e.mean,this.image_std=e.image_std??e.std,this.resample=e.resample??2,this.do_rescale=e.do_rescale??!0,this.rescale_factor=e.rescale_factor??1/255,this.do_normalize=e.do_normalize,this.do_thumbnail=e.do_thumbnail,this.size=e.size??e.image_size,this.do_resize=e.do_resize??this.size!==void 0,this.size_divisibility=e.size_divisibility??e.size_divisor,this.do_center_crop=e.do_center_crop,this.crop_size=e.crop_size,this.do_convert_rgb=e.do_convert_rgb??!0,this.do_crop_margin=e.do_crop_margin,this.pad_size=e.pad_size,this.do_pad=e.do_pad,this.min_pixels=e.min_pixels,this.max_pixels=e.max_pixels,this.do_pad&&!this.pad_size&&!this.size_divisibility&&this.size&&this.size.width!==void 0&&this.size.height!==void 0&&(this.pad_size=this.size),this.do_flip_channel_order=e.do_flip_channel_order??!1,this.config=e}async thumbnail(e,t,n=2){let r=e.height,i=e.width,a=t.height,o=t.width,s=Math.min(r,a),c=Math.min(i,o);return s===r&&c===i?e:(r>i?c=Math.floor(i*s/r):i>r&&(s=Math.floor(r*c/i)),await e.resize(c,s,{resample:n}))}async crop_margin(e,t=200){let n=e.clone().grayscale(),r=Sd(n.data)[0],i=Cd(n.data)[0]-r;if(i===0)return e;let a=t/255,o=n.width,s=n.height,c=0,l=0,u=n.data;for(let e=0;e<n.height;++e){let t=e*n.width;for(let d=0;d<n.width;++d)(u[t+d]-r)/i<a&&(o=Math.min(o,d),s=Math.min(s,e),c=Math.max(c,d),l=Math.max(l,e))}return e=await e.crop([o,s,c,l]),e}pad_image(e,t,n,{mode:r=`constant`,center:i=!1,constant_values:a=0}={}){let[o,s,c]=t,l,u;if(typeof n==`number`?(l=n,u=n):n===`square`?l=u=Math.max(o,s):(l=n.width,u=n.height),l!==s||u!==o){let n=new Float32Array(l*u*c);if(Array.isArray(a))for(let e=0;e<n.length;++e)n[e]=a[e%c];else a!==0&&n.fill(a);let[d,f]=i?[Math.floor((l-s)/2),Math.floor((u-o)/2)]:[0,0];for(let t=0;t<o;++t){let r=(t+f)*l,i=t*s;for(let t=0;t<s;++t){let a=(r+t+d)*c,o=(i+t)*c;for(let t=0;t<c;++t)n[a+t]=e[o+t]}}if(r===`symmetric`){if(i)throw Error("`center` padding is not supported when `mode` is set to `symmetric`.");let t=o-1,r=s-1;for(let i=0;i<u;++i){let a=i*l,u=yo(i,t)*s;for(let t=0;t<l;++t){if(i<o&&t<s)continue;let l=(a+t)*c,d=(u+yo(t,r))*c;for(let t=0;t<c;++t)n[l+t]=e[d+t]}}}e=n,t=[u,l,c]}return[e,t]}rescale(e){for(let t=0;t<e.length;++t)e[t]=this.rescale_factor*e[t]}get_resize_output_image_size(e,t){let[n,r]=e.size,i,a;if(this.do_thumbnail){let{height:e,width:n}=t;i=Math.min(e,n)}else Number.isInteger(t)?(i=t,a=this.config.max_size??i):t!==void 0&&(i=t.shortest_edge,a=t.longest_edge);if(i!==void 0||a!==void 0){let e=i===void 0?1:Math.max(i/n,i/r),t=n*e,o=r*e,s=a===void 0?1:Math.min(a/t,a/o),c=Math.floor(Number((t*s).toFixed(2))),l=Math.floor(Number((o*s).toFixed(2)));return this.size_divisibility!==void 0&&([c,l]=oh([c,l],this.size_divisibility)),[c,l]}if(t!==void 0&&t.width!==void 0&&t.height!==void 0){let e=t.width,i=t.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let t=i/r,a=e/n;Math.abs(1-a)<Math.abs(1-t)?t=a:a=t,i=ah(t*r,this.config.ensure_multiple_of),e=ah(a*n,this.config.ensure_multiple_of)}return[e,i]}if(this.size_divisibility!==void 0)return oh([n,r],this.size_divisibility);throw Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(t)}`)}async resize(e){let[t,n]=this.get_resize_output_image_size(e,this.size);return await e.resize(t,n,{resample:this.resample})}async preprocess(e,{do_normalize:t=null,do_pad:n=null,do_convert_rgb:r=null,do_convert_grayscale:i=null,do_flip_channel_order:a=null}={}){this.do_crop_margin&&(e=await this.crop_margin(e));let[o,s]=e.size;if(r??this.do_convert_rgb?e=e.rgb():i&&(e=e.grayscale()),this.do_resize&&(e=await this.resize(e)),this.do_thumbnail&&(e=await this.thumbnail(e,this.size,this.resample)),this.do_center_crop){let t,n;Number.isInteger(this.crop_size)?(t=this.crop_size,n=this.crop_size):(t=this.crop_size.width,n=this.crop_size.height),e=await e.center_crop(t,n)}let c=[e.height,e.width],l=Float32Array.from(e.data),u=[e.height,e.width,e.channels];if(this.do_rescale&&this.rescale(l),t??this.do_normalize){let t=this.image_mean;Array.isArray(this.image_mean)||(t=Array(e.channels).fill(t));let n=this.image_std;if(Array.isArray(this.image_std)||(n=Array(e.channels).fill(n)),t.length!==e.channels||n.length!==e.channels)throw Error(`When set to arrays, the length of \`image_mean\` (${t.length}) and \`image_std\` (${n.length}) must match the number of channels in the image (${e.channels}).`);for(let r=0;r<l.length;r+=e.channels)for(let i=0;i<e.channels;++i)l[r+i]=(l[r+i]-t[i])/n[i]}if(n??this.do_pad){if(this.pad_size){let t=this.pad_image(l,[e.height,e.width,e.channels],this.pad_size);[l,u]=t}else if(this.size_divisibility){let e=Math.ceil(u[1]/this.size_divisibility)*this.size_divisibility,t=Math.ceil(u[0]/this.size_divisibility)*this.size_divisibility;[l,u]=this.pad_image(l,u,{width:e,height:t})}}if(a??this.do_flip_channel_order){if(u[2]!==3)throw Error(`Flipping channel order is only supported for RGB images.`);for(let e=0;e<l.length;e+=3){let t=l[e];l[e]=l[e+2],l[e+2]=t}}let d=new J(`float32`,l,u).permute(2,0,1);return{original_size:[s,o],reshaped_input_size:c,pixel_values:d}}async _call(e,...t){Array.isArray(e)||(e=[e]);let n=await Promise.all(e.map(e=>this.preprocess(e)));return{pixel_values:Df(n.map(e=>e.pixel_values),0),original_sizes:n.map(e=>e.original_size),reshaped_input_sizes:n.map(e=>e.reshaped_input_size)}}static async from_pretrained(e,t={}){let n=await _d(e,Qp,!0,t);return new this(n)}},gh={};Na(gh,{BeitFeatureExtractor:()=>_h,BitImageProcessor:()=>vh,CHMv2ImageProcessor:()=>bh,CLIPFeatureExtractor:()=>Sh,CLIPImageProcessor:()=>xh,ChineseCLIPFeatureExtractor:()=>yh,ConvNextFeatureExtractor:()=>wh,ConvNextImageProcessor:()=>Ch,DINOv3ViTImageProcessor:()=>kh,DPTFeatureExtractor:()=>Nh,DPTImageProcessor:()=>Mh,DeiTFeatureExtractor:()=>Eh,DeiTImageProcessor:()=>Th,DetrFeatureExtractor:()=>Oh,DetrImageProcessor:()=>Dh,DonutFeatureExtractor:()=>jh,DonutImageProcessor:()=>Ah,EfficientNetImageProcessor:()=>Ph,GLPNFeatureExtractor:()=>Vh,Gemma3ImageProcessor:()=>Fh,Gemma4ImageProcessor:()=>Rh,Glm46VImageProcessor:()=>Bh,GroundingDinoImageProcessor:()=>Hh,Idefics3ImageProcessor:()=>Uh,ImageFeatureExtractor:()=>X,ImageProcessor:()=>X,JinaCLIPImageProcessor:()=>Gh,Lfm2VlImageProcessor:()=>Zh,LlavaOnevisionImageProcessor:()=>Qh,Mask2FormerImageProcessor:()=>tg,MaskFormerFeatureExtractor:()=>eg,MaskFormerImageProcessor:()=>$h,MobileNetV1FeatureExtractor:()=>rg,MobileNetV1ImageProcessor:()=>ng,MobileNetV2FeatureExtractor:()=>ag,MobileNetV2ImageProcessor:()=>ig,MobileNetV3FeatureExtractor:()=>sg,MobileNetV3ImageProcessor:()=>og,MobileNetV4FeatureExtractor:()=>lg,MobileNetV4ImageProcessor:()=>cg,MobileViTFeatureExtractor:()=>dg,MobileViTImageProcessor:()=>ug,NougatImageProcessor:()=>fg,OwlViTFeatureExtractor:()=>mg,OwlViTImageProcessor:()=>pg,Owlv2ImageProcessor:()=>hg,Phi3VImageProcessor:()=>xg,PixtralImageProcessor:()=>Sg,PvtImageProcessor:()=>Cg,Qwen2VLImageProcessor:()=>zh,RTDetrImageProcessor:()=>wg,Sam2ImageProcessor:()=>Tg,Sam3ImageProcessor:()=>Tg,SamImageProcessor:()=>Tg,SapiensFeatureExtractor:()=>Dg,SapiensImageProcessor:()=>Eg,SegformerFeatureExtractor:()=>kg,SegformerImageProcessor:()=>Og,SiglipImageProcessor:()=>Ag,SmolVLMImageProcessor:()=>Uh,Swin2SRImageProcessor:()=>jg,VLMImageProcessor:()=>Wh,ViTFeatureExtractor:()=>Ng,ViTImageProcessor:()=>Mg,VitMatteImageProcessor:()=>Pg,VitPoseImageProcessor:()=>Fg,YolosFeatureExtractor:()=>Lg,YolosImageProcessor:()=>Ig});var _h=class extends X{},vh=class extends X{},yh=class extends X{},bh=class extends X{},xh=class extends X{},Sh=class extends xh{},Ch=class extends X{constructor(e){super(e),this.crop_pct=this.config.crop_pct??224/256}async resize(e){let t=this.size?.shortest_edge;if(t===void 0)throw Error(`Size dictionary must contain 'shortest_edge' key.`);if(t<384){let n=Math.floor(t/this.crop_pct),[r,i]=this.get_resize_output_image_size(e,{shortest_edge:n});e=await e.resize(r,i,{resample:this.resample}),e=await e.center_crop(t,t)}else e=await e.resize(t,t,{resample:this.resample});return e}},wh=class extends Ch{},Th=class extends X{},Eh=class extends Th{},Dh=class extends X{async _call(e){let t=await super._call(e),n=Nf([t.pixel_values.dims[0],64,64],1n);return{...t,pixel_mask:n}}post_process_object_detection(...e){return ch(...e)}post_process_panoptic_segmentation(...e){return mh(...e)}post_process_instance_segmentation(...e){return hh(...e)}},Oh=class extends Dh{},kh=class extends X{},Ah=class extends X{pad_image(e,t,n,r={}){let[i,a,o]=t,s=this.image_mean;Array.isArray(this.image_mean)||(s=Array(o).fill(s));let c=this.image_std;Array.isArray(c)||(c=Array(o).fill(s));let l=s.map((e,t)=>-e/c[t]);return super.pad_image(e,t,n,{center:!0,constant_values:l,...r})}},jh=class extends Ah{},Mh=class extends X{},Nh=class extends Mh{},Ph=class extends X{constructor(e){super(e),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(e=>e*e))}},Fh=class extends X{};function Ih(e,t,n,r,i){let a=r*n**2,o=Math.sqrt(a/(e*t)),s=i*n,c=Math.floor(o*e/s)*s,l=Math.floor(o*t/s)*s;if(c===0&&l===0)throw Error(`Attempting to resize to a 0 x 0 image. 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uo{constructor(e){super(),this.config=e,this.patch_size=e.patch_size??16,this.max_soft_tokens=e.max_soft_tokens??280,this.pooling_kernel_size=e.pooling_kernel_size??3,this.resample=e.resample??3,this.rescale_factor=e.rescale_factor??1/255,this.do_rescale=e.do_rescale??!0,this.do_resize=e.do_resize??!0,this.do_convert_rgb=e.do_convert_rgb??!0}async _call(e){Array.isArray(e)||(e=[e]);let{patch_size:t,pooling_kernel_size:n}=this,r=this.max_soft_tokens*n**2,i=[],a=[],o=[];for(let s of e){if(this.do_convert_rgb&&(s=s.rgb()),this.do_resize){let[e,i]=Ih(s.height,s.width,t,r,n);(e!==s.height||i!==s.width)&&(s=await s.resize(i,e,{resample:this.resample}))}let e=Float32Array.from(s.data);if(this.do_rescale)for(let t=0;t<e.length;++t)e[t]*=this.rescale_factor;let{patches:c,positions:l,num_soft_tokens:u}=Lh(e,s.height,s.width,s.channels,t,r,n);i.push(c),a.push(l),o.push(u)}return{pixel_values:Df(i,0),image_position_ids:Df(a,0),num_soft_tokens_per_image:o}}},zh=class extends X{constructor(e){super(e),this.min_pixels=e.min_pixels??e.size?.shortest_edge,this.max_pixels=e.max_pixels??e.size?.longest_edge,this.patch_size=e.patch_size,this.merge_size=e.merge_size}get_resize_output_image_size(e,t){let n=this.patch_size*this.merge_size;return ph(e.height,e.width,n,this.min_pixels,this.max_pixels)}async _call(e,...t){let{pixel_values:n,original_sizes:r,reshaped_input_sizes:i}=await super._call(e,...t),a=n,{temporal_patch_size:o,merge_size:s,patch_size:c}=this.config;a.dims[0]===1&&(a=Ef(Array.from({length:o},()=>a),0));let l=a.dims[0]/o,u=a.dims[1],d=Math.floor(a.dims[2]/c),f=Math.floor(a.dims[3]/c);return{pixel_values:a.view(l,o,u,Math.floor(d/s),s,c,Math.floor(f/s),s,c).permute(0,3,6,4,7,2,1,5,8).view(l*d*f,u*o*c*c),image_grid_thw:new J(`int64`,[l,d,f],[1,3]),original_sizes:r,reshaped_input_sizes:i}}},Bh=class extends zh{get_resize_output_image_size(e,t){let n=this.patch_size*this.merge_size,r=this.config.temporal_patch_size??2;return ph(e.height,e.width,n,this.min_pixels,this.max_pixels,r)}},Vh=class extends X{},Hh=class extends X{async _call(e){let t=await super._call(e),n=t.pixel_values.dims,r=Ff([n[0],n[2],n[3]]);return{...t,pixel_mask:r}}},Uh=class extends X{constructor(e){super(e),this.do_image_splitting=e.do_image_splitting??!0,this.max_image_size=e.max_image_size}get_resize_for_vision_encoder(e,t){let[n,r]=e.dims.slice(-2),i=r/n;return r>=n?(r=Math.ceil(r/t)*t,n=Math.floor(r/i),n=Math.ceil(n/t)*t):(n=Math.ceil(n/t)*t,r=Math.floor(n*i),r=Math.ceil(r/t)*t),{height:n,width:r}}async _call(e,{do_image_splitting:t=null,return_row_col_info:n=!1}={}){let r;if(!Array.isArray(e))r=[[e]];else{if(e.length===0||!e[0])throw Error(`No images provided.`);r=Array.isArray(e[0])?e:[e]}let i=[],a=[],o=[],s=[],c=[];for(let e of r){let n=await Promise.all(e.map(e=>this.preprocess(e)));s.push(...n.map(e=>e.original_size)),c.push(...n.map(e=>e.reshaped_input_size)),n.forEach(e=>e.pixel_values.unsqueeze_(0));let{longest_edge:r}=this.max_image_size,l;if(t??this.do_image_splitting){let e=Array(n.length),t=Array(n.length);l=await Promise.all(n.map(async(n,i)=>{let a=this.get_resize_for_vision_encoder(n.pixel_values,r),o=await _f(n.pixel_values,{size:[a.height,a.width]}),{frames:s,num_splits_h:c,num_splits_w:l}=await this.split_image(o,this.max_image_size);return e[i]=c,t[i]=l,Ef(s,0)})),a.push(e),o.push(t)}else{let e=[r,r];l=await Promise.all(n.map(t=>_f(t.pixel_values,{size:e}))),a.push(Array(n.length).fill(0)),o.push(Array(n.length).fill(0))}i.push(Ef(l,0))}let l=i.length,[u,d,f,p]=i[0].dims,m,h;if(l===1)m=i[0].unsqueeze_(0),h=Nf([l,u,f,p],!0);else{let e=Math.max(...i.map(e=>e.dims.at(0)));h=Nf([l,e,f,p],!0);let t=h.data,n=e*f*p;for(let r=0;r<l;++r){let a=i[r].dims[0];if(a<e){i[r]=Ef([i[r],Nf([e-a,d,f,p],0)],0);let o=r*n+a*f*p,s=(r+1)*n;t.fill(!1,o,s)}}m=Df(i,0)}return{pixel_values:m,pixel_attention_mask:h,original_sizes:s,reshaped_input_sizes:c,...n?{rows:a,cols:o}:{}}}async split_image(e,{longest_edge:t}){let n=t,r=t,i=[],[a,o]=e.dims.slice(-2),s=0,c=0;if(a>n||o>r){s=Math.ceil(a/n),c=Math.ceil(o/r);let t=Math.ceil(a/s),l=Math.ceil(o/c);for(let n=0;n<s;++n)for(let r=0;r<c;++r){let u,d,f,p;n===s-1?(d=a-t,p=a):(d=n*t,p=(n+1)*t),r===c-1?(u=o-l,f=o):(u=r*l,f=(r+1)*l);let m=await xf(e,[d,u],[p,f],[2,3]);i.push(m)}let u=n,d=r;(a!==u||o!==d)&&(e=await _f(e,{size:[u,d]}))}return i.push(e),{frames:i,num_splits_h:s,num_splits_w:c}}},Wh=class extends X{constructor(e){super({do_pad:!0,pad_size:{width:e.image_size,height:e.image_size},...e}),this.constant_values=this.config.background_color.map(e=>e*this.rescale_factor)}pad_image(e,t,n,r){return super.pad_image(e,t,n,{constant_values:this.constant_values,center:!0,...r})}},Gh=class extends X{constructor(e){let{resize_mode:t,fill_color:n,interpolation:r,size:i,...a}=e,o=t===`squash`?{width:i,height:i}:t===`shortest`?{shortest_edge:i}:{longest_edge:i},s=r===`bicubic`?3:2;super({...a,size:o,resample:s,do_center_crop:!0,crop_size:i,do_normalize:!0})}};function Kh(e,t){return Math.round(e/t)*t}function qh(e,t,n,r,i){let a=1/0,o=[1,1],s=n*r;for(let n of t){let t=Math.abs(e-n[0]/n[1]);t<a?(a=t,o=n):t===a&&s>.5*i*i*n[0]*n[1]&&(o=n)}return o}function Jh(e,t){let n=[],r=new Set;for(let i=e;i<=t;++i)for(let a=1;a<=i;++a)for(let o=1;o<=i;++o){let i=a*o;if(i>=e&&i<=t){let e=a<<16|o;r.has(e)||(r.add(e),n.push([a,o]))}}return n.sort((e,t)=>e[0]*e[1]-t[0]*t[1])}function Yh(e,t){let[n,r,i,a]=e.dims,o=Math.floor(i/t),s=Math.floor(a/t),c=t*t*r,l=e.data,u=new Float32Array(n*o*s*c),d=i*a;for(let e=0;e<n;++e){let n=e*r*d,i=e*o*s*c;for(let e=0;e<o;++e)for(let o=0;o<s;++o){let f=i+(e*s+o)*c;for(let i=0;i<t;++i){let s=(e*t+i)*a+o*t;for(let e=0;e<t;++e){let t=s+e;for(let 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n=this.encoder_patch_size*this.downsample_factor;return Math.max(this.encoder_patch_size,Kh(e,n))*Math.max(this.encoder_patch_size,Kh(t,n))>this.max_image_tokens*(this.encoder_patch_size*this.downsample_factor)**2*this.max_pixels_tolerance}_get_grid_layout(e,t){let n=Jh(this.min_tiles,this.max_tiles),[r,i]=qh(t/e,n,t,e,this.tile_size);return{grid_width:r,grid_height:i,target_width:this.tile_size*r,target_height:this.tile_size*i}}async _call(e,{return_row_col_info:t=null}={}){let n;n=Array.isArray(e)?Array.isArray(e[0])?e:[e]:[[e]];let r=[],i=[],a=[],o=[],s=[],c=[];for(let e of n){let t=await Promise.all(e.map(e=>this.preprocess(e,{do_pad:!1})));for(let{pixel_values:e}of t){let[,t,n]=e.dims,l=e.unsqueeze_(0),u=this.encoder_patch_size*this.downsample_factor,d=u**2,[f,p]=ph(Math.max(u,t),Math.max(u,n),u,this.min_image_tokens*d,this.max_image_tokens*d).map(e=>Math.max(u,e)),m,h=1,g=1,_=this._is_image_too_large(t,n),v=this.do_image_splitting&&(this.min_tiles!==1||this.max_tiles!==1);if(_&&v){let{grid_width:e,grid_height:r,target_width:i,target_height:a}=this._get_grid_layout(t,n);h=r,g=e;let o=await _f(l,{size:[a,i]});m=[];for(let t=0;t<r;++t)for(let n=0;n<e;++n){let e=t*this.tile_size,r=n*this.tile_size;m.push(o.slice(null,null,[e,e+this.tile_size],[r,r+this.tile_size]))}this.use_thumbnail&&e*r!==1&&m.push(await _f(l,{size:[p,f]}))}else m=[await _f(l,{size:[p,f]})];for(let e of m){let[,,t,n]=e.dims,{padded:o,mask:s}=Xh(Yh(e,this.encoder_patch_size),this.max_num_patches);r.push(o),i.push(s),a.push([Math.floor(t/this.encoder_patch_size),Math.floor(n/this.encoder_patch_size)])}o.push(h),s.push(g),c.push([p,f])}}let l={pixel_values:Ef(r,0),pixel_attention_mask:Df(i,0),spatial_shapes:new J(`int64`,BigInt64Array.from(a.flat(),BigInt),[a.length,2])};return(t??this.return_row_col_info)&&(l.image_rows=o,l.image_cols=s,l.image_sizes=c),l}},Qh=class extends X{},$h=class extends X{post_process_panoptic_segmentation(...e){return mh(...e)}post_process_instance_segmentation(...e){return hh(...e)}},eg=class extends $h{},tg=class extends $h{},ng=class extends X{},rg=class extends ng{},ig=class extends X{},ag=class extends ig{},og=class extends X{},sg=class extends og{},cg=class extends X{},lg=class extends cg{},ug=class extends X{},dg=class extends ug{},fg=class extends Ah{},pg=class extends X{post_process_object_detection(...e){return ch(...e)}},mg=class extends pg{},hg=class extends pg{},gg=336,_g=[2,3],{ceil:vg,floor:yg,sqrt:bg}=Math,xg=class extends X{constructor(e){super({...e,do_normalize:!0,do_pad:!0,pad_size:`custom`,do_convert_rgb:!0,do_resize:!0}),this._num_crops=e.num_crops}calc_num_image_tokens_from_image_size(e,t){let{num_img_tokens:n}=this.config;return yg((yg(t/gg)*yg(e/gg)+1)*n+1+(yg(t/gg)+1)*bg(n))}get_resize_output_image_size(e,t){let n=this._num_crops,[r,i]=e.size,a=r/i,o=1;for(;o*Math.ceil(o/a)<=n;)o+=1;--o;let s=Math.floor(o*336);return[s,Math.floor(s/a)]}pad_image(e,t,n,r={}){let[i,a]=t,o=gg*vg(i/gg),s=gg*vg(a/gg),c=[1,1,1].map((e,t)=>(e-this.image_mean[t])/this.image_std[t]);return super.pad_image(e,t,{width:s,height:o},{center:!0,constant_values:c,...r})}async _call(e,{num_crops:t=null}={}){if(this._num_crops=t??=this.config.num_crops,t<4||bg(t)%1!=0)throw Error(`num_crops must be a square number >= 4`);Array.isArray(e)||(e=[e]);let n=e.length,r=await Promise.all(e.map(e=>this.preprocess(e))),i=r.map(e=>e.original_size),a=r.map(e=>e.reshaped_input_size),o=[];for(let{pixel_values:e}of r){e.unsqueeze_(0);let[n,r]=e.dims.slice(-2),i=await _f(e,{size:[gg,gg],mode:`bicubic`});if(t>0){let a=[],s=bg(t),c=yg(r/s),l=yg(n/s);for(let t=0;t<s;++t)for(let i=0;i<s;++i){let o,u,d,f;t===s-1?(u=n-l,f=n):(u=t*l,f=(t+1)*l),i===s-1?(o=r-c,d=r):(o=i*c,d=(i+1)*c);let p=await xf(e,[u,o],[f,d],_g);a.push(p)}let u=await _f(Ef(a,0),{size:[gg,gg],mode:`bicubic`});o.push(Ef([i,u],0))}else o.push(i)}let s=Df(o,0),c=a.map(e=>e.map(e=>gg*vg(e/gg)));return{pixel_values:s,original_sizes:i,reshaped_input_sizes:a,image_sizes:new J(`int64`,c.flat(),[n,2]),num_img_tokens:c.map(([e,t])=>this.calc_num_image_tokens_from_image_size(t,e))}}},Sg=class extends X{get_resize_output_image_size(e,t){let{longest_edge:n}=t;if(n===void 0)throw Error(`size must contain 'longest_edge'`);let[r,i]=e.size,a=Math.max(r,i)/n,o=r,s=i;a>1&&(o=Math.floor(r/a),s=Math.floor(i/a));let{patch_size:c,spatial_merge_size:l}=this.config;if(!l)throw Error(`config must contain 'spatial_merge_size'`);let u=c*l,d=Math.floor((o-1)/u)+1,f=Math.floor((s-1)/u)+1;return[d*u,f*u]}},Cg=class extends X{},wg=class extends X{post_process_object_detection(...e){return ch(...e)}},Tg=class extends X{reshape_input_points(e,t,n,r=!1){e=structuredClone(e);let i=go(e);if(i.length===3)r||(i=[1,...i]),e=[e];else if(i.length!==4)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");for(let r=0;r<e.length;++r){let[i,a]=t[r],[o,s]=n[r],c=[s/a,o/i];for(let t=0;t<e[r].length;++t)for(let n=0;n<e[r][t].length;++n)for(let i=0;i<e[r][t][n].length;++i)e[r][t][n][i]*=c[i%2]}return new J(`float32`,Float32Array.from(e.flat(1/0)),i)}add_input_labels(e,t){let n=go(e);if(n.length===2)n=[1,...n],e=[e];else if(n.length!==3)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");if(n.some((e,n)=>e!==t.dims[n]))throw Error(`The first ${n.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new J(`int64`,e.flat(1/0).map(BigInt),n)}async _call(e,{input_points:t=null,input_labels:n=null,input_boxes:r=null}={}){let i=await super._call(e);if(t&&(i.input_points=this.reshape_input_points(t,i.original_sizes,i.reshaped_input_sizes)),n){if(!i.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");i.input_labels=this.add_input_labels(n,i.input_points)}return r&&(i.input_boxes=this.reshape_input_points(r,i.original_sizes,i.reshaped_input_sizes,!0)),i}async post_process_masks(e,t,n,{mask_threshold:r=0,binarize:i=!0,pad_size:a=null}={}){let o=[];a=a??this.pad_size??this.size;let s=[a.height,a.width];for(let a=0;a<t.length;++a){let c=t[a],l=n[a],u=await _f(e[a],{mode:`bilinear`,size:s});if(u=u.slice(null,null,[0,l[0]],[0,l[1]]),u=await _f(u,{mode:`bilinear`,size:c}),i){let e=u.data,t=new Uint8Array(e.length);for(let n=0;n<e.length;++n)e[n]>r&&(t[n]=1);u=new J(`bool`,t,u.dims)}o.push(u)}return o}generate_crop_boxes(e,t,{crop_n_layers:n=0,overlap_ratio:r=512/1500,points_per_crop:i=32,crop_n_points_downscale_factor:a=1}={}){}},Eg=class extends X{post_process_semantic_segmentation(...e){return lh(...e)}},Dg=class extends Eg{},Og=class extends X{post_process_semantic_segmentation(...e){return lh(...e)}},kg=class extends Og{},Ag=class extends X{},jg=class extends X{pad_image(e,t,n,r={}){let[i,a,o]=t;return super.pad_image(e,t,{width:a+(n-a%n)%n,height:i+(n-i%n)%n},{mode:`symmetric`,center:!1,constant_values:-1,...r})}},Mg=class extends X{},Ng=class extends Mg{},Pg=class extends X{async _call(e,t){Array.isArray(e)||(e=[e]),Array.isArray(t)||(t=[t]);let n=await Promise.all(e.map(e=>this.preprocess(e))),r=await Promise.all(t.map(e=>this.preprocess(e,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:Df(n.map((e,t)=>Ef([e.pixel_values,r[t].pixel_values],0)),0),original_sizes:n.map(e=>e.original_size),reshaped_input_sizes:n.map(e=>e.reshaped_input_size)}}},Fg=class extends X{post_process_pose_estimation(e,t,{threshold:n=null}={}){let r=e.tolist(),[i,a,o,s]=e.dims,c=[];for(let e=0;e<i;++e){let i=r[e],a=t[e],l=[];for(let e=0;e<a.length;++e){let t=a[e],r=[],c=[],u=[],d=t.at(-2)/s,f=t.at(-1)/o;for(let e=0;e<i.length;++e){let[t,a]=[0,0],o=0,s=-1/0,l=i[e];for(let e=0;e<l.length;++e){let n=l[e];for(let r=0;r<n.length;++r){let i=n[r];o+=i,s=Math.max(s,i),t+=(r+.5)*i,a+=e*i}}if(n!=null&&s<n)continue;let p=[d*t/o,f*a/o];r.push(p),u.push(e),c.push(s)}l.push({bbox:t,scores:c,labels:u,keypoints:r})}c.push(l)}return c}},Ig=class extends X{post_process_object_detection(...e){return ch(...e)}},Lg=class extends Ig{},Rg=class{static async from_pretrained(e,t={}){let n=await _d(e,Qp,!0,t),r=n.image_processor_type??n.feature_extractor_type,i=gh[r?.replace(/Fast$/,``)];return i||=(r!==void 0&&B.warn(`Image processor type '${r}' not found, assuming base ImageProcessor. Please report this at ${Xp}.`),X),new i(n)}},zg=class extends tm{static tokenizer_class=Yp;static image_processor_class=Rg;constructor(e,t,n){super(e,t,n);let{tasks_answer_post_processing_type:r,task_prompts_without_inputs:i,task_prompts_with_input:a}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(r??{})),this.task_prompts_without_inputs=new Map(Object.entries(i??{})),this.task_prompts_with_input=new Map(Object.entries(a??{})),this.regexes={quad_boxes:/(.+?)<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm,bboxes:/([^<]+)?<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm},this.size_per_bin=1e3}construct_prompts(e){typeof e==`string`&&(e=[e]);let t=[];for(let n of e)if(this.task_prompts_without_inputs.has(n))t.push(this.task_prompts_without_inputs.get(n));else{for(let[e,r]of this.task_prompts_with_input)if(n.includes(e)){t.push(r.replaceAll(`{input}`,n).replaceAll(e,``));break}t.length!==e.length&&t.push(n)}return t}post_process_generation(e,t,n){let r=this.tasks_answer_post_processing_type.get(t)??`pure_text`;e=e.replaceAll(`<s>`,``).replaceAll(`</s>`,``);let i;switch(r){case`pure_text`:i=e;break;case`description_with_bboxes`:case`bboxes`:case`phrase_grounding`:case`ocr`:let a=r===`ocr`?`quad_boxes`:`bboxes`,o=e.matchAll(this.regexes[a]),s=[],c=[];for(let[e,t,...r]of o)s.push(t?t.trim():s.at(-1)??``),c.push(r.map((e,t)=>(Number(e)+.5)/this.size_per_bin*n[t%2]));i={labels:s,[a]:c};break;default:throw Error(`Task "${t}" (of type "${r}") not yet implemented.`)}return{[t]:i}}async _call(e,t=null,n={}){if(!e&&!t)throw Error(`Either text or images must be provided`);let r=await this.image_processor(e,n),i=t?this.tokenizer(this.construct_prompts(t),n):{};return{...r,...i}}},Bg=class extends tm{static tokenizer_class=Yp;static image_processor_class=Rg;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.image_seq_length=this.config.image_seq_length;let{boi_token:r,image_token:i,eoi_token:a}=this.tokenizer.config;this.boi_token=r,this.image_token=i,this.eoi_token=a;let o=i.repeat(this.image_seq_length);this.full_image_sequence=`
+
+${r}${o}${a}
+
+`}async _call(e,t=null,n={}){typeof e==`string`&&(e=[e]);let r;return t&&(r=await this.image_processor(t,n),e=e.map(e=>e.replaceAll(this.boi_token,this.full_image_sequence))),{...this.tokenizer(e,n),...r}}},Vg=class extends tm{static image_processor_class=Rg;static feature_extractor_class=Jm;static tokenizer_class=Yp;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.audio_seq_length=this.config.audio_seq_length,this.image_seq_length=this.config.image_seq_length;let{audio_token_id:r,boa_token:i,audio_token:a,eoa_token:o,image_token_id:s,boi_token:c,image_token:l,eoi_token:u}=this.tokenizer.config;this.audio_token_id=r,this.boa_token=i,this.audio_token=a;let d=a.repeat(this.audio_seq_length);this.full_audio_sequence=`
+
+${i}${d}${o}
+
+`,this.image_token_id=s,this.boi_token=c,this.image_token=l;let f=l.repeat(this.image_seq_length);this.full_image_sequence=`
+
+${c}${f}${u}
+
+`}async _call(e,t=null,n=null,r={}){typeof e==`string`&&(e=[e]);let i;n&&(i=await this.feature_extractor(n,r),e=e.map(e=>e.replaceAll(this.audio_token,this.full_audio_sequence)));let a;return t&&(a=await this.image_processor(t,r),e=e.map(e=>e.replaceAll(this.image_token,this.full_image_sequence))),{...this.tokenizer(e,r),...a,...i}}},Hg=class extends tm{static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.audio_ms_per_token=this.config.audio_ms_per_token??40,this.audio_seq_length=this.config.audio_seq_length??750,this.image_seq_length=this.config.image_seq_length??280;let{audio_token:r,boa_token:i,eoa_token:a,image_token:o,boi_token:s,eoi_token:c}=this.tokenizer.config;this.audio_token=r,this.boa_token=i,this.eoa_token=a,this.image_token=o,this.boi_token=s,this.eoi_token=c}static async from_pretrained(e,t={}){let[n,r,i]=await Promise.all([_d(e,$p,!0,t),Yp.from_pretrained(e,t),gd(e,em,!1,t)]),a={tokenizer:r};return n.image_processor&&(a.image_processor=new Rh(n.image_processor)),n.feature_extractor&&(a.feature_extractor=new Lm(n.feature_extractor)),new this(n,a,i)}_compute_audio_num_tokens(e,t){let n=Math.round(t*20/1e3),r=Math.round(t*10/1e3),i=Math.floor(n/2),a=Math.floor((e+i-n-1)/r)+1;if(a<=0)return 0;for(let e=0;e<2;++e)a=Math.floor((a-1)/2)+1;return Math.min(a,this.audio_seq_length)}async _call(e,t=null,n=null,r={}){typeof e==`string`&&(e=[e]);let i;if(t){i=await this.image_processor(t,r);let n=i.num_soft_tokens_per_image,a=0;e=e.map(e=>e.replaceAll(this.image_token,()=>`
+
+${this.boi_token}${this.image_token.repeat(n[a++])}${this.eoi_token}
+
+`))}let a;if(n){let t=Array.isArray(n)?n:[n];a=await this.feature_extractor(t[0],r);let i=this.feature_extractor.config.sampling_rate??16e3,o=0;e=e.map(e=>e.replaceAll(this.audio_token,()=>`
+
+${this.boa_token}${this.audio_token.repeat(this._compute_audio_num_tokens(t[o++].length,i))}${this.eoa_token}
+
+`))}return{...this.tokenizer(e,r),...i,...a}}},Ug=class extends tm{static image_processor_class=Rg;static tokenizer_class=Yp;static image_token=`<|image_pad|>`;async _call(e,t=null,...n){Array.isArray(e)||(e=[e]);let r,i;if(t&&(r=await this.image_processor(t),i=r.image_grid_thw),i){let t=this.image_processor.config.merge_size**2,n=0,r=this.constructor.image_token,a=i.tolist();e=e.map(e=>{for(;e.includes(r);){let i=Number(a[n++].reduce((e,t)=>e*t,1n));e=e.replace(r,`<|placeholder|>`.repeat(Math.floor(i/t)))}return e.replaceAll(`<|placeholder|>`,r)})}return{...this.tokenizer(e),...r}}},Wg=class extends Ug{static image_token=`<|image|>`},Gg=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;static uses_processor_config=!0;_get_num_audio_features(e){let{hop_length:t}=this.feature_extractor.config.melspec_kwargs,{projector_window_size:n,projector_downsample_rate:r}=this.feature_extractor.config,i=Math.floor(n/r),a=Math.floor(e/t)+1,o=Math.floor(a/2);return Math.ceil(o/n)*i}async _call(e,t=null,n={}){if(Array.isArray(e))throw Error(`Batched inputs are not supported yet.`);let r={};if(t){let{input_features:n}=await this.feature_extractor(t);r.input_features=n;let i=this._get_num_audio_features(t.length);r.input_features_mask=new J(`bool`,new Uint8Array(i).fill(1),[1,i]);let a=this.config.audio_token??`<|audio|>`;if(!e.includes(a))throw Error(`The input text does not contain the audio token ${a}.`);e=e.replaceAll(a,a.repeat(i))}return{...this.tokenizer(e,{add_special_tokens:!1,...n}),...r}}};function Kg(e,t){let n=e.dims.at(-1)-1,r=e.tolist();r.fill(!1,0,1),r.fill(!1,n);let i=t.tolist();return r.map((e,t)=>e?t:null).filter(e=>e!==null).map(e=>i[e])}var qg=class extends tm{static tokenizer_class=Yp;static image_processor_class=Rg;async _call(e,t,n={}){let r=e?await this.image_processor(e,n):{};return{...t?this.tokenizer(t,n):{},...r}}post_process_grounded_object_detection(e,t,{box_threshold:n=.25,text_threshold:r=.25,target_sizes:i=null}={}){let{logits:a,pred_boxes:o}=e,s=a.dims[0];if(i!==null&&i.length!==s)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let c=a.dims.at(1),l=a.sigmoid(),u=l.max(-1).tolist(),d=o.tolist().map(e=>e.map(e=>sh(e))),f=[];for(let e=0;e<s;++e){let a=i===null?null:i[e];a!==null&&(d[e]=d[e].map(e=>e.map((e,t)=>e*a[(t+1)%2])));let o=u[e],s=[],p=[],m=[];for(let i=0;i<c;++i){let a=o[i];if(a<=n)continue;let c=d[e][i],u=l[e][i];s.push(a),m.push(c);let f=Kg(u.gt(r),t[e]);p.push(f)}f.push({scores:s,boxes:m,labels:this.batch_decode(p)})}return f}};function Jg(e,t,n,r,i,a){let o=``;for(let a=0;a<t;++a){for(let t=0;t<n;++t)o+=r+`<row_${a+1}_col_${t+1}>`+i.repeat(e);o+=`
+`}return o+=`
+${r}${a}`+i.repeat(e)+`${r}`,o}function Yg(e,t,n,r){return`${t}${r}`+n.repeat(e)+`${t}`}function Xg(e,t,n,r,i,a){return e===0&&t===0?Yg(n,r,i,a):Jg(n,e,t,r,i,a)}var Zg=class extends tm{static image_processor_class=Rg;static tokenizer_class=Yp;static uses_processor_config=!0;fake_image_token=`<fake_token_around_image>`;image_token=`<image>`;global_img_token=`<global-img>`;async _call(e,t=null,n={}){n.return_row_col_info??=!0;let r;t&&(r=await this.image_processor(t,n)),Array.isArray(e)||(e=[e]);let i=r.rows??[Array(e.length).fill(0)],a=r.cols??[Array(e.length).fill(0)],o=this.config.image_seq_len,s=[],c=[];for(let t=0;t<e.length;++t){let n=e[t],r=i[t],l=a[t];s.push(xo(n,this.image_token));let u=r.map((e,t)=>Xg(e,l[t],o,this.fake_image_token,this.image_token,this.global_img_token)),d=n.split(this.image_token);if(d.length===0)throw Error(`The image token should be present in the text.`);let f=d[0];for(let e=0;e<u.length;++e)f+=u[e]+d[e+1];c.push(f)}return{...this.tokenizer(c),...r}}},Qg=class extends tm{static image_processor_class=Rg;static tokenizer_class=Yp;static uses_processor_config=!0;constructor(e,t,n){super(e,t,n),this.image_tag=this.config.image_tag,this.image_start_tag=this.config.image_start_tag,this.image_end_tag=this.config.image_end_tag,this.num_image_tokens=this.config.num_image_tokens}async _call(e,{images:t=null,chat_template:n=`default`}={}){t?Array.isArray(t)||(t=[t]):t=await Promise.all(e.filter(e=>e.images).flatMap(e=>e.images).map(e=>ih.read(e)));let r=this.tokenizer,i=r.apply_chat_template(e,{tokenize:!1,add_generation_prompt:!0,chat_template:n}),a=e=>r.encode(e,{add_special_tokens:!1}),o=i.split(this.image_tag),s=o.length-1;if(t.length!==s)throw Error(`Number of images provided (${t.length}) does not match number of "${this.image_tag}" image tags (${s})`);let[c,l,u]=r.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]),d=a(o[0]),f=Array(d.length).fill(!1);for(let e=1;e<o.length;++e){let t=Array(this.num_image_tokens).fill(c),n=a(o[e]);d=_o(d,[l],t,[u],n);let r=Array(this.num_image_tokens).fill(!0);f=_o(f,[!1],r,[!1],Array(n.length).fill(!1))}let p=[1,d.length],m={input_ids:new J(`int64`,d,p),attention_mask:new J(`int64`,Array(d.length).fill(1),p),images_seq_mask:new J(`bool`,f,p),images_emb_mask:new J(`bool`,Array(s*this.num_image_tokens).fill(!0),[1,s,this.num_image_tokens])};if(t&&t.length>0){let e=await this.image_processor(t);return e.pixel_values.unsqueeze_(0),{...m,...e}}return m}},$g=class extends tm{static tokenizer_class=Yp;static image_processor_class=Rg;async _call(e=null,t=null,n={}){if(!e&&!t)throw Error(`Either text or images must be provided`);let r=e?this.tokenizer(e,n):{},i=t?await this.image_processor(t,n):{};return{...r,...i}}},e_=class extends tm{static tokenizer_class=Yp;static image_processor_class=Rg;async _call(e,t=null,n={}){let{image_rows:r,image_cols:i,image_sizes:a,...o}=await this.image_processor(e,{...n,return_row_col_info:!0});if(t){let e=this.config.image_token??`<image>`,{tile_size:n=512,downsample_factor:o=2,encoder_patch_size:s=16,use_thumbnail:c=!0}=this.image_processor.config,l=e=>Math.ceil(Math.floor(e/s)/o),u=l(n)**2,d=this.config.image_start_token??`<|image_start|>`,f=this.config.image_end_token??`<|image_end|>`,p=this.config.image_thumbnail??`<|img_thumbnail|>`;Array.isArray(t)||(t=[t]);let m=0;t=t.map(t=>{let n=t.split(e);return n[0]+n.slice(1).map(t=>{let n=m++,[o,s]=a[n],h=r[n],g=i[n],_=l(o)*l(s),v=d;if(h>1||g>1){let t=e.repeat(u);for(let e=0;e<h;++e)for(let n=0;n<g;++n)v+=`<|img_row_${e+1}_col_${n+1}|>`+t;c&&(v+=p+e.repeat(_))}else v+=e.repeat(_);return v+f+t}).join(``)})}return{...o,...t?this.tokenizer(t,n):{}}}},t_=class extends tm{static tokenizer_class=Yp;static image_processor_class=Rg;static uses_processor_config=!0;async _call(e,t=null,n={}){let r=await this.image_processor(e,n);if(t){let[e,n]=r.pixel_values.dims.slice(-2),{image_token:i,patch_size:a,num_additional_image_tokens:o}=this.config,s=Math.floor(e/a)*Math.floor(n/a)+o;t=structuredClone(t),Array.isArray(t)||(t=[t]);for(let e=0;e<t.length;++e)t[e]=t[e].replace(i,i.repeat(s))}let i=t?this.tokenizer(t,n):{};return{...r,...i}}},n_={char:[`char_decode`,1],bpe:[`bpe_decode`,2],wp:[`wp_decode`,102]},r_=class extends tm{static tokenizer_class=Yp;static image_processor_class=Rg;get char_tokenizer(){return this.components.char_tokenizer}get bpe_tokenizer(){return this.components.bpe_tokenizer}get wp_tokenizer(){return this.components.wp_tokenizer}_decode_helper(e,t){if(!n_.hasOwnProperty(t))throw Error(`Format ${t} is not supported.`);let[n,r]=n_[t],i=this[n].bind(this),[a,o]=e.dims,s=[],c=[],l=e.tolist();for(let e=0;e<a;++e){let t=l[e],n=[],i=[];for(let e=1;e<o;++e){let[a,o]=Cd(bd(t[e]));if(i.push(a),o==r)break;n.push(o)}let a=i.length>0?i.reduce((e,t)=>e*t,1):0;c.push(n),s.push(a)}return[i(c),s]}char_decode(e){return this.char_tokenizer.batch_decode(e).map(e=>e.replaceAll(` `,``))}bpe_decode(e){return this.bpe_tokenizer.batch_decode(e)}wp_decode(e){return this.wp_tokenizer.batch_decode(e).map(e=>e.replaceAll(` `,``))}batch_decode([e,t,n]){let[r,i]=this._decode_helper(e,`char`),[a,o]=this._decode_helper(t,`bpe`),[s,c]=this._decode_helper(n,`wp`),l=[],u=[];for(let e=0;e<r.length;++e){let[t,n]=Cd([i[e],o[e],c[e]]);l.push([r[e],a[e],s[e]][n]),u.push(t)}return{generated_text:l,scores:u,char_preds:r,bpe_preds:a,wp_preds:s}}static async from_pretrained(...e){let t=await super.from_pretrained(...e),n=await Yp.from_pretrained(`Xenova/gpt2`),r=await Yp.from_pretrained(`Xenova/bert-base-uncased`);return t.components={image_processor:t.image_processor,char_tokenizer:t.tokenizer,bpe_tokenizer:n,wp_tokenizer:r},t}async _call(e,t=null){let n=await this.image_processor(e);return t&&(n.labels=this.tokenizer(t).input_ids),n}},i_=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;async _call(e){return await this.feature_extractor(e)}},a_=class extends tm{static tokenizer_class=Yp;static image_processor_class=Rg},o_=`<image>`;function s_(e,t,n,r,i){return`${r.repeat(n*i)}${t}${e}
+`}var c_=class extends tm{static tokenizer_class=Yp;static image_processor_class=Rg;static uses_processor_config=!1;async _call(e,t=null,n={}){t||=(B.warn(`You are using PaliGemma without a text prefix. It will perform as a picture-captioning model.`),``),Array.isArray(e)||(e=[e]),Array.isArray(t)||(t=[t]);let r=this.tokenizer.bos_token,i=this.image_processor.config.image_seq_length,a;t.some(e=>e.includes(o_))?a=t.map(e=>{let t=e.replaceAll(o_,o_.repeat(i)),n=t.lastIndexOf(o_),a=n===-1?0:n+o_.length;return t.slice(0,a)+r+t.slice(a)+`
+`}):(B.warn("You are passing both `text` and `images` to `PaliGemmaProcessor`. The processor expects special image tokens in the text, as many tokens as there are images per each text. It is recommended to add `<image>` tokens in the very beginning of your text. For this call, we will infer how many images each text has and add special tokens."),a=t.map(t=>s_(t,r,i,o_,e.length)));let o=this.tokenizer(a,n);return{...await this.image_processor(e,n),...o}}},l_=`<|image|>`,u_=/<\|image_\d+\|>/g,d_=class extends tm{static image_processor_class=Rg;static tokenizer_class=Yp;async _call(e,t=null,{padding:n=!0,truncation:r=!0,num_crops:i=null}={}){Array.isArray(e)||(e=[e]);let a,o;if(t){o=await this.image_processor(t,{num_crops:i});let{num_img_tokens:s}=o,c=e.map((e,t)=>e.split(u_).join(l_.repeat(s[t])));a=this.tokenizer(c,{padding:n,truncation:r});let l=this.tokenizer._tokenizer.token_to_id(l_);a.input_ids.map_(e=>e==l?-e:e)}else a=this.tokenizer(e);return{...a,...o}}},f_=class extends tm{static tokenizer_class=Yp;static image_processor_class=Rg;static uses_processor_config=!0;async _call(e,t=null,n={}){let r=await this.image_processor(e,n);if(t){let[e,n]=r.pixel_values.dims.slice(-2),{image_token:i,image_break_token:a,image_end_token:o,patch_size:s,spatial_merge_size:c}=this.config,l=s*c,u=Math.floor(e/l),d=Math.floor(n/l);t=structuredClone(t),Array.isArray(t)||(t=[t]);for(let e=0;e<t.length;++e){let n=i.repeat(d),r=n+a,s=n+o,c=r.repeat(u-1)+s;t[e]=t[e].replace(i,c)}}let i=t?this.tokenizer(t,n):{};return{...r,...i}}},p_=class extends tm{static feature_extractor_class=Bm;async _call(e){return await this.feature_extractor(e)}post_process_speaker_diarization(...e){return this.feature_extractor.post_process_speaker_diarization(...e)}get sampling_rate(){return this.feature_extractor.config.sampling_rate}},m_=class extends Ug{},h_=class extends m_{},g_=class extends tm{static image_processor_class=Rg;async _call(...e){return await this.image_processor(...e)}post_process_masks(...e){return this.image_processor.post_process_masks(...e)}reshape_input_points(...e){return this.image_processor.reshape_input_points(...e)}},__=class extends g_{},v_=class extends __{},y_=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;async _call(e){return await this.feature_extractor(e)}},b_=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;static uses_processor_config=!0;async _call(e,t=null,n={}){if(Array.isArray(e))throw Error(`Batched inputs are not supported yet.`);let r={};if(t){let i=t.length,{input_features:a}=await this.feature_extractor(t,{...n,max_length:i}),o=Math.round(i/this.config.encoder_ds_factor+1e-4),s=1+Math.ceil(o/this.config.stack_factor);r.audio_token_len=[s],r.audio_values=a;let c=this.config.audio_placeholder;if(!e.includes(c))throw Error(`The input text does not contain the image token ${c}.`);e=e.replaceAll(c,c.repeat(s))}return{...this.tokenizer(e,{add_special_tokens:!1,...n}),...r}}},x_=`[AUDIO]`,S_=`[BEGIN_AUDIO]`,C_=375;function w_(e,t){let n=[];for(let r=0;r<e.length;r+=t)n.push(e.subarray(r,Math.min(r+t,e.length)));return n}var T_=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;static uses_processor_config=!1;async _call(e,t=null,n={}){if(Array.isArray(e))throw Error(`Batched inputs are not supported yet.`);let r={};if(t){if(!e.includes(x_))throw Error(`The input text does not contain the audio token ${x_}.`);Array.isArray(t)||(t=[t]);let i=e.split(x_),a=i.length-1;if(a!==t.length)throw Error(`The number of audio inputs (${t.length}) does not match the number of audio tokens in the text (${a}).`);let o=this.feature_extractor.config.n_samples,s=t.map(e=>w_(e,o)),c=s.map(e=>e.length),l=s.flat(),u=(await Promise.all(l.map(e=>this.feature_extractor(e,n)))).map(e=>e.input_features);r.audio_values=u.length>1?Ef(u,0):u[0];let d=i[0];for(let e=0;e<c.length;++e){d+=S_;for(let t=0;t<c[e];++t)d+=x_.repeat(C_);d+=i[e+1]}e=d}return{...this.tokenizer(e,{add_special_tokens:!1,...n}),...r}}},E_=32,D_=6,O_=8,k_=10,A_=32,j_=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;static uses_processor_config=!1;get num_mel_frames_first_audio_chunk(){return(D_+1)*O_}get num_samples_first_audio_chunk(){let{hop_length:e,n_fft:t}=this.feature_extractor.config;return(this.num_mel_frames_first_audio_chunk-1)*e+Math.floor(t/2)}get num_samples_per_audio_chunk(){let{hop_length:e,n_fft:t}=this.feature_extractor.config;return O_*e+t}get num_right_pad_tokens(){return D_+1+k_}get audio_length_per_tok(){return O_}get raw_audio_length_per_tok(){return O_*this.feature_extractor.config.hop_length}async _call(e,{is_streaming:t=!1,is_first_audio_chunk:n=!0}={}){if(rm(e,`VoxtralRealtimeProcessor`),!t&&!n)throw Error("In non-streaming mode (`is_streaming=false`), `is_first_audio_chunk` must be `true`.");if(n){if(t){let t=E_*this.raw_audio_length_per_tok,n=new Float32Array(t+e.length);n.set(e,t);let r=await this.feature_extractor(n,{center:!0}),i=1+(E_+D_),a=new BigInt64Array(i).fill(BigInt(A_));return a[0]=1n,{input_ids:new J(`int64`,a,[1,i]),...r}}{let t=this.num_right_pad_tokens*this.raw_audio_length_per_tok,n=new Float32Array(e.length+t);return n.set(e),await this.feature_extractor(n,{center:!0})}}return await this.feature_extractor(e,{center:!1})}},M_=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;async _call(e){return await this.feature_extractor(e)}},N_=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;async _call(e){return await this.feature_extractor(e)}},P_=class extends tm{static tokenizer_class=Yp;static feature_extractor_class=Jm;async _call(e){return await this.feature_extractor(e)}};async function F_(e,t){return await _d(e,`config.json`,!0,t)}function I_(e){let t={},n={};switch(e.model_type){case`llava`:case`paligemma`:case`gemma3`:case`florence2`:case`llava_onevision`:case`idefics3`:case`granite_speech`:case`ultravox`:case`voxtral`:case`voxtral_realtime`:case`smolvlm`:case`gemma3n`:case`gemma4`:case`lfm2_vl`:case`chatterbox`:case`lighton_ocr`:case`glm_ocr`:case`mistral3`:case`qwen2_5_vl`:case`qwen3_vl`:case`qwen3_vl_moe`:n=I_(e.text_config);break;case`moondream1`:n=I_(e.phi_config);break;case`musicgen`:n=I_(e.decoder);break;case`multi_modality`:n=I_(e.language_config);break;case`gpt2`:case`gptj`:case`jais`:case`codegen`:case`gpt_bigcode`:t.num_heads=`n_head`,t.num_layers=`n_layer`,t.hidden_size=`n_embd`;break;case`gpt_neox`:case`stablelm`:case`opt`:case`falcon`:case`modernbert-decoder`:t.num_heads=`num_attention_heads`,t.num_layers=`num_hidden_layers`,t.hidden_size=`hidden_size`;break;case`gpt_oss`:case`llama`:case`llama4_text`:case`nanochat`:case`apertus`:case`arcee`:case`afmoe`:case`lfm2`:case`lfm2_moe`:case`smollm3`:case`olmo`:case`olmo2`:case`olmo3`:case`mobilellm`:case`granite`:case`granitemoehybrid`:case`cohere`:case`cohere2`:case`mistral`:case`voxtral_realtime_text`:case`voxtral_realtime_encoder`:case`starcoder2`:case`qwen2`:case`qwen2_moe`:case`qwen2_vl`:case`qwen2_vl_text`:case`qwen2_5_vl_text`:case`qwen3_moe`:case`qwen3_vl_text`:case`qwen3_vl_moe_text`:case`phi`:case`phi3`:case`phi3_v`:case`llava_qwen2`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_hidden_layers`,t.hidden_size=`hidden_size`,t.num_attention_heads=`num_attention_heads`,t.dim_kv=`head_dim`;break;case`qwen3`:case`solar_open`:case`glm_ocr_text`:case`gemma`:case`gemma2`:case`vaultgemma`:case`gemma3_text`:case`gemma3n_text`:case`gemma4_text`:case`glm`:case`helium`:case`ernie4_5`:case`hunyuan_v1_dense`:case`falcon_h1`:case`nemotron_h`:case`ministral`:case`ministral3`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_hidden_layers`,t.dim_kv=`head_dim`;break;case`openelm`:t.num_heads=`num_kv_heads`,t.num_layers=`num_transformer_layers`,t.dim_kv=`head_dim`;break;case`gpt_neo`:case`donut-swin`:t.num_heads=`num_heads`,t.num_layers=`num_layers`,t.hidden_size=`hidden_size`;break;case`bloom`:t.num_heads=`n_head`,t.num_layers=`n_layer`,t.hidden_size=`hidden_size`;break;case`mpt`:t.num_heads=`n_heads`,t.num_layers=`n_layers`,t.hidden_size=`d_model`;break;case`exaone`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_layers`,t.dim_kv=`head_dim`,t.num_attention_heads=`num_attention_heads`;break;case`youtu`:case`deepseek_v3`:case`deepseek_v4`:case`glm_moe_dsa`:case`mistral4`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_hidden_layers`,t.dim_kv=e.model_type===`deepseek_v4`?`head_dim`:`qk_head_dim`,t.num_attention_heads=`num_attention_heads`;break;case`zaya`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_hidden_layers`,t.hidden_size=`hidden_size`,t.dim_kv=`head_dim`,t.num_attention_heads=`num_attention_heads`;break;case`hrm_text`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_hidden_layers`,t.hidden_size=`hidden_size`,t.dim_kv=`head_dim`,t.num_attention_heads=`num_attention_heads`;break;case`t5`:case`mt5`:case`longt5`:t.num_decoder_layers=`num_decoder_layers`,t.num_decoder_heads=`num_heads`,t.decoder_dim_kv=`d_kv`,t.num_encoder_layers=`num_layers`,t.num_encoder_heads=`num_heads`,t.encoder_dim_kv=`d_kv`;break;case`bart`:case`mbart`:case`marian`:case`whisper`:case`lite-whisper`:case`m2m_100`:case`blenderbot`:case`blenderbot-small`:case`florence2_language`:t.num_decoder_layers=`decoder_layers`,t.num_decoder_heads=`decoder_attention_heads`,t.decoder_hidden_size=`d_model`,t.num_encoder_layers=`encoder_layers`,t.num_encoder_heads=`encoder_attention_heads`,t.encoder_hidden_size=`d_model`;break;case`speecht5`:t.num_decoder_layers=`decoder_layers`,t.num_decoder_heads=`decoder_attention_heads`,t.decoder_hidden_size=`hidden_size`,t.num_encoder_layers=`encoder_layers`,t.num_encoder_heads=`encoder_attention_heads`,t.encoder_hidden_size=`hidden_size`;break;case`trocr`:t.num_encoder_layers=t.num_decoder_layers=`decoder_layers`,t.num_encoder_heads=t.num_decoder_heads=`decoder_attention_heads`,t.encoder_hidden_size=t.decoder_hidden_size=`d_model`;break;case`musicgen_decoder`:t.num_encoder_layers=t.num_decoder_layers=`num_hidden_layers`,t.num_encoder_heads=t.num_decoder_heads=`num_attention_heads`,t.encoder_hidden_size=t.decoder_hidden_size=`hidden_size`;break;case`moonshine`:t.num_decoder_layers=`decoder_num_hidden_layers`,t.num_decoder_heads=`decoder_num_key_value_heads`,t.num_encoder_layers=`encoder_num_hidden_layers`,t.num_encoder_heads=`encoder_num_key_value_heads`,t.encoder_hidden_size=t.decoder_hidden_size=`hidden_size`;break;case`cohere_asr`:t.num_decoder_layers=`num_hidden_layers`,t.num_decoder_heads=`num_key_value_heads`,t.decoder_hidden_size=`hidden_size`,t.decoder_dim_kv=`head_dim`;let{num_hidden_layers:r,num_attention_heads:i,hidden_size:a}=e.encoder_config;n={num_encoder_layers:r,num_encoder_heads:i,encoder_hidden_size:a,encoder_dim_kv:e.head_dim};break;case`vision-encoder-decoder`:let o=I_(e.decoder),s=`num_decoder_layers`in o,c=bo(e,[`model_type`,`is_encoder_decoder`]);return s?(c.num_decoder_layers=o.num_decoder_layers,c.num_decoder_heads=o.num_decoder_heads,c.decoder_hidden_size=o.decoder_hidden_size,c.num_encoder_layers=o.num_encoder_layers,c.num_encoder_heads=o.num_encoder_heads,c.encoder_hidden_size=o.encoder_hidden_size):(c.num_layers=o.num_layers,c.num_heads=o.num_heads,c.hidden_size=o.hidden_size),c}let r={...n,...bo(e,[`model_type`,`multi_query`,`is_encoder_decoder`])};for(let n in t)r[n]=e[t[n]];return r}function L_(e,t){e instanceof z_||(e=new z_(e));let n=t?.prefix??`past_key_values`,r=n===`present`?`present`:`past`,i=new Set;if([`lfm2`,`lfm2_moe`].includes(e.model_type)){let{layer_types:t}=e;for(let e=0;e<t.length;++e)if(t[e]===`full_attention`)i.add(`${n}.${e}.key`),i.add(`${n}.${e}.value`);else if(t[e]===`conv`)i.add(`${r}_conv.${e}`);else throw Error(`Unsupported layer type: ${t[e]}`);return i}if([`granitemoehybrid`,`falcon_h1`,`nemotron_h`].includes(e.model_type)){let t=e,a=t.layer_types??t.layers_block_type,o=t.num_hidden_layers??a?.length;for(let e=0;e<o;++e)(!a||a[e]===`mamba`)&&(i.add(`${r}_conv.${e}`),i.add(`${r}_ssm.${e}`)),(!a||a[e]===`attention`)&&(i.add(`${n}.${e}.key`),i.add(`${n}.${e}.value`));return i}if([`qwen3_next`,`qwen3_5_text`,`qwen3_5_moe_text`,`olmo_hybrid`].includes(e.model_type)){let{layer_types:t}=e;for(let a=0;a<t.length;++a)if(t[a]===`full_attention`)i.add(`${n}.${a}.key`),i.add(`${n}.${a}.value`);else if(t[a]===`linear_attention`)e.model_type===`olmo_hybrid`?(i.add(`${r}_conv.${a}.key`),i.add(`${r}_conv.${a}.value`),i.add(`${r}_conv.${a}.query`)):i.add(`${r}_conv.${a}`),i.add(`${r}_recurrent.${a}`);else throw Error(`Unsupported layer type: ${t[a]}`);return i}if([`gemma4`,`gemma4_text`].includes(e.model_type)){let t=e.model_type===`gemma4`?e.text_config:e,r=t.num_hidden_layers-(t.num_kv_shared_layers??0);for(let 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Array.from({length:this.generation_config.num_beams},(e,t)=>[r.data[t],Math.log(i[t])])}},kv=class{constructor(e){if(e)for(let t in e){if(t in this)throw TypeError(`Key "${t}" conflicts with an existing property on DynamicCache`);let n=e[t];if(!(n instanceof J))throw TypeError(`Expected a Tensor for key "${t}", got ${typeof n}`);this[t]=n}}get_seq_length(){let e=this;if(Object.keys(e).length===0)return 0;for(let t in e)if(t.startsWith(`past_key_values.`))return e[t].dims.at(-2);throw Error(`Unable to determine sequence length from the cache.`)}update(e){for(let t in e){let n=this[t],r=e[t];n&&n!==r&&n.location===`gpu-buffer`&&n.dispose(),this[t]=r}}async dispose(){let e=[];for(let t of Object.values(this))t.location===`gpu-buffer`&&e.push(t.dispose());await 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r={...Av[Q.ImageTextToText].text_only_sessions};return n||(r.vision_encoder=`vision_encoder`),e.is_encoder_decoder&&(r.model=`encoder_model`),r},cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:`generation_config.json`}},[Q.AudioTextToText]:{text_only_sessions:{embed_tokens:`embed_tokens`,decoder_model_merged:`decoder_model_merged`},sessions:(e,t,n)=>{let r={...Av[Q.AudioTextToText].text_only_sessions};return n||(r.audio_encoder=`audio_encoder`),r},cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:`generation_config.json`}},[Q.ImageAudioTextToText]:{text_only_sessions:{embed_tokens:`embed_tokens`,decoder_model_merged:`decoder_model_merged`},sessions:(e,t,n)=>{let r={...Av[Q.ImageAudioTextToText].text_only_sessions};return n||(r.audio_encoder=`audio_encoder`,r.vision_encoder=`vision_encoder`),r},cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:`generation_config.json`}},[Q.Phi3V]:{sessions:()=>({prepare_inputs_embeds:`prepare_inputs_embeds`,model:`model`,vision_encoder:`vision_encoder`}),cache_sessions:{model:!0},optional_configs:{generation_config:`generation_config.json`}},[Q.MultiModality]:{sessions:()=>({prepare_inputs_embeds:`prepare_inputs_embeds`,model:`language_model`,lm_head:`lm_head`,gen_head:`gen_head`,gen_img_embeds:`gen_img_embeds`,image_decode:`image_decode`}),cache_sessions:{model:!0},optional_configs:{generation_config:`generation_config.json`}},[Q.AutoEncoder]:{sessions:()=>({encoder_model:`encoder_model`,decoder_model:`decoder_model`})},[Q.Supertonic]:{sessions:()=>({text_encoder:`text_encoder`,latent_denoiser:`latent_denoiser`,voice_decoder:`voice_decoder`})},[Q.Chatterbox]:{sessions:()=>({embed_tokens:`embed_tokens`,speech_encoder:`speech_encoder`,model:`language_model`,conditional_decoder:`conditional_decoder`}),cache_sessions:{model:!0},optional_configs:{generation_config:`generation_config.json`}},[Q.VoxtralRealtime]:{text_only_sessions:{embed_tokens:`embed_tokens`,decoder_model_merged:`decoder_model_merged`},sessions:(e,t,n)=>{let r={...Av[Q.VoxtralRealtime].text_only_sessions};return n||(r.audio_encoder=`audio_encoder`),r},cache_sessions:{decoder_model_merged:!0,audio_encoder:!0},optional_configs:{generation_config:`generation_config.json`}},default:{sessions:(e,t)=>({model:t.model_file_name??`model`})}};function jv(e){return Av[e]?.text_only_sessions??null}function Mv(e,t,n={}){let r=Av[e]??Av.default;return{sessions:r.sessions(t,n,n.textOnly??!1),cache_sessions:r.cache_sessions,optional_configs:r.optional_configs}}function Nv(e,{warn:t=!0}={}){let n=e.architectures||[];for(let e of n){let t=Hv.get(e);if(t!==void 0)return t}if(e.model_type){let t=Hv.get(e.model_type);if(t!==void 0)return t;for(let t of Object.values(Iv))if(t.has(e.model_type)){let n=Hv.get(t.get(e.model_type));if(n!==void 0)return n}}if(t){let t=n.length>0?n.join(`, `):`(none)`;B.warn(`[resolve_model_type] Architecture(s) not found in MODEL_TYPE_MAPPING: [${t}] for model type '${e.model_type}'. Falling back to EncoderOnly (single model.onnx file). If you encounter issues, please report at: ${Xp}`)}return Q.EncoderOnly}function Pv(e,{config:t=null,cache_dir:n=null,local_files_only:r=!1,revision:i=`main`}={}){return t===null?id(Gu(e,{cache_dir:n,local_files_only:r,revision:i}),()=>B_.from_pretrained(e,{config:t,cache_dir:n,local_files_only:r,revision:i})):B_.from_pretrained(e,{config:t,cache_dir:n,local_files_only:r,revision:i})}async function Fv(e,{config:t=null,dtype:n=null,device:r=null,model_file_name:i=null}={}){t=await Pv(e,{config:t});let a=[`config.json`],o=t[`transformers.js_config`]??{},s=o.use_external_data_format,c=`onnx`,l=r??o.device,u=n??o.dtype,d=Nv(t),f=(e,t=null)=>{t??=e;let n=of(l,e),r=df[ff(u,e,n)]??``,i=`${t}${r}.onnx`,o=`${c}/${i}`;a.push(o);let d=V_(s,i,e);for(let e of H_(i,d)){let t=`${c}/${e}`;a.push(t)}},{sessions:p,optional_configs:m}=Mv(d,t,{model_file_name:i});for(let[e,t]of Object.entries(p))f(e,t);if(m)for(let e of Object.values(m))a.push(e);return a}var Iv=null;function Lv(e){Iv=e}function Rv(e){if(e instanceof J)return e;if(e.length===0)throw Error(`items must be non-empty`);if(Array.isArray(e[0])){if(e.some(t=>t.length!==e[0].length))throw Error(`Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.`);return new J(`int64`,BigInt64Array.from(e.flat().map(e=>BigInt(e))),[e.length,e[0].length])}return new J(`int64`,BigInt64Array.from(e.map(e=>BigInt(e))),[1,e.length])}function zv(e){return new J(`bool`,[e],[1])}var Bv={[Q.DecoderOnly]:{can_generate:!0,forward:$v,prepare_inputs:ay},[Q.DecoderOnlyWithoutHead]:{can_generate:!1,forward:$v,prepare_inputs:ay},[Q.Seq2Seq]:{can_generate:!0,forward:Gv,prepare_inputs:oy},[Q.Vision2Seq]:{can_generate:!0,forward:Gv,prepare_inputs:oy},[Q.Musicgen]:{can_generate:!0,forward:Gv},[Q.EncoderDecoder]:{can_generate:!1,forward:Gv},[Q.ImageTextToText]:{can_generate:!0,forward:ny,prepare_inputs:sy},[Q.AudioTextToText]:{can_generate:!0,forward:ty,prepare_inputs:sy},[Q.ImageAudioTextToText]:{can_generate:!0,prepare_inputs:sy},[Q.Phi3V]:{can_generate:!0,prepare_inputs:sy},[Q.MultiModality]:{can_generate:!0},[Q.AutoEncoder]:{can_generate:!1,forward:qv},[Q.Chatterbox]:{can_generate:!0,forward:Kv},[Q.VoxtralRealtime]:{can_generate:!0,prepare_inputs:ay},default:{can_generate:!1,forward:Kv}};function Vv(e,t){let n=Hv.get(e),r=!1,i=t?.architectures?.[0];if(i&&i!==e&&e?.endsWith(`ForCausalLM`)&&i.endsWith(`ForConditionalGeneration`)){let e=Hv.get(i);e!==void 0&&(n=e,r=!0)}let a=Bv[n]??Bv.default,o=Av[n]??Av.default;return{typeConfig:{...a,...o},textOnly:r,modelType:n}}var Hv=new Map,Uv=new Map,Wv=new Map,$=class extends uo{main_input_name=`input_ids`;forward_params=[`input_ids`,`attention_mask`];_return_dict_in_generate_keys=null;constructor(e,t,n){super(),this.config=e,this.sessions=t,this.configs=n;let{typeConfig:r}=Vv(Wv.get(this.constructor),e);this.can_generate=r.can_generate,this._forward=r.forward,this._prepare_inputs_for_generation=r.prepare_inputs,this.can_generate&&this.forward_params.push(`past_key_values`),this.custom_config=this.config[`transformers.js_config`]??{}}async dispose(){let e=[];for(let t of Object.values(this.sessions))e.push(t.release?.());return await Promise.all(e)}static async from_pretrained(e,{progress_callback:t=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:a=`main`,model_file_name:o=null,subfolder:s=`onnx`,device:c=null,dtype:l=null,use_external_data_format:u=null,session_options:d={}}={}){let f={progress_callback:t,config:n,cache_dir:r,local_files_only:i,revision:a,model_file_name:o,subfolder:s,device:c,dtype:l,use_external_data_format:u,session_options:d},p=Wv.get(this);n=f.config=await B_.from_pretrained(e,f);let{typeConfig:m,textOnly:h,modelType:g}=Vv(p,n);if(g===void 0){let e=p??n?.model_type;e!==`custom`&&B.warn(`Model type for '${e}' not found, assuming encoder-only architecture. Please report this at ${Xp}.`)}if(t&&!(t instanceof po)){let r={};try{let t=await Fv(e,{config:n,dtype:l,device:c,model_file_name:o});(await Promise.all(t.map(t=>od(e,t,f)))).forEach((e,n)=>{if(e.exists){let i=t[n]===`config.json`;r[t[n]]={loaded:i?e.size??0:0,total:e.size??0}}})}catch(e){B.warn(`Unable to fetch model file metadata for total progress tracking: ${e}`)}Object.keys(r).length>0&&(f.progress_callback=new po(t,r))}let _=[K_(e,m.sessions(n,f,h),f,m.cache_sessions)];m.optional_configs&&_.push(dy(e,m.optional_configs,f));let v=await Promise.all(_);return new this(n,...v)}async _call(e){return await this.forward(e)}async forward(e){return await this._forward(this,e)}get generation_config(){return this.configs?.generation_config??null}_get_logits_processor(e,t,n=null){let r=new sv;if(e.repetition_penalty!==null&&e.repetition_penalty!==1&&r.push(new mv(e.repetition_penalty)),e.no_repeat_ngram_size!==null&&e.no_repeat_ngram_size>0&&r.push(new pv(e.no_repeat_ngram_size)),e.bad_words_ids!==null&&r.push(new _v(e.bad_words_ids,e.eos_token_id)),e.min_length!==null&&e.eos_token_id!==null&&e.min_length>0&&r.push(new hv(e.min_length,e.eos_token_id)),e.min_new_tokens!==null&&e.eos_token_id!==null&&e.min_new_tokens>0&&r.push(new gv(t,e.min_new_tokens,e.eos_token_id)),e.forced_bos_token_id!==null&&r.push(new cv(e.forced_bos_token_id)),e.forced_eos_token_id!==null&&r.push(new lv(e.max_length,e.forced_eos_token_id)),e.suppress_tokens!==null&&r.push(new uv(e.suppress_tokens)),e.begin_suppress_tokens!==null){let n=t>1||e.forced_bos_token_id===null?t:t+1;r.push(new dv(e.begin_suppress_tokens,n))}return e.guidance_scale!==null&&e.guidance_scale>1&&r.push(new vv(e.guidance_scale)),e.temperature===0&&e.do_sample&&(B.warn("`do_sample` changed to false because `temperature: 0` implies greedy sampling (always selecting the most likely token), which is incompatible with `do_sample: true`."),e.do_sample=!1),e.do_sample&&e.temperature!==null&&e.temperature!==1&&r.push(new yv(e.temperature)),n!==null&&r.extend(n),r}_prepare_generation_config(e,t,n=bv){let r={...this.config};for(let e of[`decoder`,`generator`,`text_config`])e in r&&Object.assign(r,r[e]);let i=new n(r);return Object.assign(i,this.generation_config??{}),e&&Object.assign(i,e),t&&Object.assign(i,bo(t,Object.getOwnPropertyNames(i))),i}_get_stopping_criteria(e,t=null){let n=new Sv;return e.max_length!==null&&n.push(new Cv(e.max_length,this.config.max_position_embeddings??null)),e.eos_token_id!==null&&n.push(new wv(e.eos_token_id)),t&&n.extend(t),n}_validate_model_class(){if(!this.can_generate){let e=[Iv.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,Iv.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES,Iv.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES,Iv.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES].filter(Boolean),t=Wv.get(this.constructor),n=new Set,r=this.config.model_type;for(let t of e){let e=t?.get(r);e&&n.add(e)}let i=`The current model class (${t}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw n.size>0&&(i+=` Please use the following class instead: ${[...n].join(`, `)}`),Error(i)}}prepare_inputs_for_generation(...e){if(!this._prepare_inputs_for_generation)throw Error(`prepare_inputs_for_generation is not implemented for this model.`);return this._prepare_inputs_for_generation(this,...e)}_update_model_kwargs_for_generation({generated_input_ids:e,outputs:t,model_inputs:n,is_encoder_decoder:r}){return n.past_key_values=Jv(t,n.past_key_values),n.input_ids=new J(`int64`,e.flat(),[e.length,1]),r?`decoder_attention_mask`in n&&(n.decoder_attention_mask=Ef([n.decoder_attention_mask,Ff([n.decoder_attention_mask.dims[0],1])],1)):n.attention_mask=Ef([n.attention_mask,Ff([n.attention_mask.dims[0],1])],1),n.position_ids=null,n}_prepare_model_inputs({inputs:e,bos_token_id:t,model_kwargs:n}){let r=bo(n,this.forward_params),i=this.main_input_name;if(i in r){if(e)throw Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else r[i]=e;return{inputs_tensor:r[i],model_inputs:r,model_input_name:i}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:e,model_inputs:t,model_input_name:n,generation_config:r}){if(this.sessions.model.inputNames.includes(`inputs_embeds`)&&!t.inputs_embeds&&`_prepare_inputs_embeds`in this){let{input_ids:e,pixel_values:n,attention_mask:r,...i}=t,a=await this._prepare_inputs_embeds(t);t={...i,...bo(a,[`inputs_embeds`,`attention_mask`])}}let{last_hidden_state:i}=await Kv(this,t);if(r.guidance_scale!==null&&r.guidance_scale>1)i=Ef([i,Pf(i,0)],0),`attention_mask`in t&&(t.attention_mask=Ef([t.attention_mask,Rf(t.attention_mask)],0));else if(t.decoder_input_ids){let e=Rv(t.decoder_input_ids).dims[0];if(e!==i.dims[0]){if(i.dims[0]!==1)throw Error(`The encoder outputs have a different batch size (${i.dims[0]}) than the decoder inputs (${e}).`);i=Ef(Array.from({length:e},()=>i),0)}}return t.encoder_outputs=i,t}_prepare_decoder_input_ids_for_generation({batch_size:e,model_input_name:t,model_kwargs:n,decoder_start_token_id:r,bos_token_id:i,generation_config:a}){let{decoder_input_ids:o,...s}=n;if(!(o instanceof J)){if(o)Array.isArray(o[0])||(o=Array.from({length:e},()=>o));else if(r??=i,this.config.model_type===`musicgen`)o=Array.from({length:e*this.config.decoder.num_codebooks},()=>[r]);else if(Array.isArray(r)){if(r.length!==e)throw Error(`\`decoder_start_token_id\` expected to have length ${e} but got ${r.length}`);o=r}else o=Array.from({length:e},()=>[r]);o=Rv(o)}return s.decoder_attention_mask=If(o),{input_ids:o,model_inputs:s}}async generate({inputs:e=null,generation_config:t=null,logits_processor:n=null,stopping_criteria:r=null,streamer:i=null,...a}){this._validate_model_class(),t=this._prepare_generation_config(t,a);let{inputs_tensor:o,model_inputs:s,model_input_name:c}=this._prepare_model_inputs({inputs:e,model_kwargs:a}),l=this.config.is_encoder_decoder;l&&(`encoder_outputs`in s||(s=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:o,model_inputs:s,model_input_name:c,generation_config:t})));let u;l?{input_ids:u,model_inputs:s}=this._prepare_decoder_input_ids_for_generation({batch_size:s[c].dims.at(0),model_input_name:c,model_kwargs:s,decoder_start_token_id:t.decoder_start_token_id,bos_token_id:t.bos_token_id,generation_config:t}):u=s[c];let d=u.dims.at(-1);t.max_new_tokens!==null&&(t.max_length=d+t.max_new_tokens);let f=this._get_logits_processor(t,d,n),p=this._get_stopping_criteria(t,r),m=s[c].dims.at(0),h=Tv.getSampler(t),g=Array(m).fill(0),_=u.tolist();i&&i.put(_);let v,y={},b={};for(;;){if(s=this.prepare_inputs_for_generation(_,s,t),v=await this.forward(s),t.return_dict_in_generate){if(t.output_attentions){let e=Yv(v);for(let t in e)t in y||(y[t]=[]),y[t].push(e[t])}else this._return_dict_in_generate_keys&&Object.assign(b,bo(v,this._return_dict_in_generate_keys))}let e=f(_,v.logits.slice(null,-1,null).to(`float32`)),n=[];for(let t=0;t<e.dims.at(0);++t){let r=e[t],i=await h(r);for(let[e,r]of i){let i=BigInt(e);g[t]+=r,_[t].push(i),n.push([i]);break}}if(i&&i.put(n),p(_).every(e=>e))break;s=this._update_model_kwargs_for_generation({generated_input_ids:n,outputs:v,model_inputs:s,is_encoder_decoder:l})}i&&i.end();let x=new J(`int64`,_.flat(),[_.length,_[0].length]),S=Jv(v,s.past_key_values),C=new Set(Object.values(S));for(let e of Object.values(v))e.location===`gpu-buffer`&&!C.has(e)&&e.dispose();return`past_key_values`in a||t.return_dict_in_generate||await S.dispose(),t.return_dict_in_generate?{sequences:x,past_key_values:S,...y,...b}:x}async _encode_input(e,t,n){if(!Object.hasOwn(this.sessions,e))throw Error(`Model does not have a ${e} session.`);let r=this.sessions[e];return(await J_(r,bo(t,r.inputNames)))[n]}async encode_image(e){return this._encode_input(`vision_encoder`,e,`image_features`)}async encode_text(e){return this._encode_input(`embed_tokens`,e,`inputs_embeds`)}async encode_audio(e){return this._encode_input(`audio_encoder`,e,`audio_features`)}};async function Gv(e,t){let{encoder_outputs:n,input_ids:r,decoder_input_ids:i,decoder_attention_mask:a,...o}=t;return n||=(await Kv(e,bo(t,e.sessions.model.inputNames))).last_hidden_state,o.input_ids=i,o.encoder_hidden_states=n,e.sessions.decoder_model_merged.inputNames.includes(`encoder_attention_mask`)&&(o.encoder_attention_mask=t.attention_mask),a&&!o.attention_mask&&(o.attention_mask=a),await $v(e,o,!0)}async function Kv(e,t){let n=e.sessions.model,r=bo(t,n.inputNames);if(n.inputNames.includes(`inputs_embeds`)&&!r.inputs_embeds){if(!t.input_ids)throw Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");r.inputs_embeds=await e.encode_text({input_ids:t.input_ids})}if(n.inputNames.includes(`token_type_ids`)&&!r.token_type_ids){if(!r.input_ids)throw Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");r.token_type_ids=Rf(r.input_ids)}if(n.inputNames.includes(`pixel_mask`)&&!r.pixel_mask){if(!r.pixel_values)throw Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");let e=r.pixel_values.dims;r.pixel_mask=Ff([e[0],e[2],e[3]])}return await J_(n,r)}async function qv(e,t){let n=await e.encode(t);return await e.decode(n)}function Jv(e,t){let n=Object.create(null);for(let r in e)if(r.startsWith(`present`)){let i=r.replace(`present_ssm`,`past_ssm`).replace(`present_conv`,`past_conv`).replace(`present_recurrent`,`past_recurrent`).replace(`present_compressor`,`past_compressor`).replace(`present_indexer`,`past_indexer`).replace(`present`,`past_key_values`);n[i]=r.includes(`encoder`)&&t?t[i]:e[r]}return t?(t.update(n),t):new kv(n)}function Yv(e){let t={};for(let n of[`cross_attentions`,`encoder_attentions`,`decoder_attentions`])for(let r in e)r.startsWith(n)&&(n in t||(t[n]=[]),t[n].push(e[r]));return t}function Xv(e,t){return e.map(e=>typeof e==`number`?e:t[e]??0)}function Zv(e,t,n){if(n&&Object.keys(n).length>0)return Object.assign(t,n),n;let r=e.sessions.decoder_model_merged??e.sessions.model,i=(t[e.main_input_name]??t.attention_mask)?.dims?.[0]??1,a=L_(e.config),o=e.config?.normalized_config?.num_heads,s={batch_size:i};typeof o==`number`&&(s[`batch_size x num_heads`]=i*o);let c=Object.create(null);for(let e of r.inputMetadata){if(!a.has(e.name))continue;let 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provided.");let i,a;return e&&(i=await this.encode_text({input_ids:e})),t&&(a=await this.encode_image({pixel_values:t})),i&&a?{inputs_embeds:n,attention_mask:r}=this._merge_input_ids_with_image_features({inputs_embeds:i,image_features:a,input_ids:e,attention_mask:r}):n=i||a,{inputs_embeds:n,attention_mask:r}}async forward({input_ids:e,pixel_values:t,attention_mask:n,decoder_input_ids:r,decoder_attention_mask:i,encoder_outputs:a,past_key_values:o,inputs_embeds:s,decoder_inputs_embeds:c,num_logits_to_keep:l=null}){if(s||({inputs_embeds:s,attention_mask:n}=await this._prepare_inputs_embeds({input_ids:e,pixel_values:t,inputs_embeds:s,attention_mask:n})),!a){let{last_hidden_state:e}=await Kv(this,{inputs_embeds:s,attention_mask:n});a=e}if(!c){if(!r)throw Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.");c=await this.encode_text({input_ids:r})}let u={inputs_embeds:c,attention_mask:i,encoder_attention_mask:n,encoder_hidden_states:a,past_key_values:o,num_logits_to_keep:l};return await $v(this,u,!0)}},WS=class extends ${},GS=class extends WS{},KS=class extends WS{},qS=class extends ${},JS=class extends qS{},YS=class extends qS{},XS=class extends ${forward_params=[`input_ids`,`attention_mask`,`pixel_values`,`position_ids`,`past_key_values`]},ZS=class extends XS{_merge_input_ids_with_image_features(e){let t=e.image_features.dims.at(-1),n=e.image_features.view(-1,t);return ly({image_token_id:this.config.image_token_index??this.config.image_token_id,...e,image_features:n})}},QS=class extends ZS{},$S=class extends ZS{},eC=class extends ${},tC=class extends eC{},nC=class extends ZS{},rC=class extends nC{},iC=class extends ${forward_params=[`input_ids`,`attention_mask`,`inputs_embeds`,`per_layer_inputs`,`position_ids`,`pixel_values`,`input_features`,`input_features_mask`,`past_key_values`]},aC=class extends iC{async forward({input_ids:e=null,attention_mask:t=null,pixel_values:n=null,input_features:r=null,input_features_mask:i=null,position_ids:a=null,inputs_embeds:o=null,per_layer_inputs:s=null,past_key_values:c=null,generation_config:l=null,logits_processor:u=null,num_logits_to_keep:d=null,...f}){if((!o||!s)&&({inputs_embeds:o,per_layer_inputs:s}=await J_(this.sessions.embed_tokens,{input_ids:e}),e.dims[1]!==1)){if(n){let{image_features:r}=await this._encode_vision({pixel_values:n,...f});({inputs_embeds:o,attention_mask:t}=this._merge_input_ids_with_image_features({image_features:r,inputs_embeds:o,input_ids:e,attention_mask:t}))}if(r){let{audio_features:n}=await J_(this.sessions.audio_encoder,{input_features:r,input_features_mask:i});({inputs_embeds:o,attention_mask:t}=this._merge_input_ids_with_audio_features({audio_features:n,inputs_embeds:o,input_ids:e,attention_mask:t}))}}return await $v(this,{inputs_embeds:o,per_layer_inputs:s,past_key_values:c,attention_mask:t,position_ids:a,generation_config:l,logits_processor:u,num_logits_to_keep:d},!0)}_encode_vision(e){return J_(this.sessions.vision_encoder,{pixel_values:e.pixel_values})}_merge_input_ids_with_image_features(e){let t=e.image_features.dims.at(-1),n=e.image_features.view(-1,t);return ly({image_token_id:this.config.image_token_id,...e,image_features:n})}_merge_input_ids_with_audio_features(e){let t=e.audio_features.dims.at(-1),n=e.audio_features.view(-1,t);return uy({audio_token_id:this.config.audio_token_id,...e,audio_features:n})}},oC=class extends aC{},sC=class extends aC{forward_params=[`input_ids`,`attention_mask`,`inputs_embeds`,`per_layer_inputs`,`position_ids`,`pixel_values`,`image_position_ids`,`input_features`,`input_features_mask`,`past_key_values`];_encode_vision(e){return J_(this.sessions.vision_encoder,{pixel_values:e.pixel_values,pixel_position_ids:e.image_position_ids})}},cC=class extends sC{},lC=class extends ${},uC=class extends lC{},dC=class extends lC{},fC=class extends ${},pC=class extends fC{},mC=class extends fC{},hC=class extends ${forward_params=[`input_ids`,`attention_mask`,`position_ids`,`past_key_values`,`pixel_values`,`image_grid_thw`]},gC=class extends hC{image_grid_thw_name=`grid_thw`;_get_text_only_rope_index(e,t){if(t){let{data:e,dims:n}=ry(t),r=BigInt64Array.from({length:3*e.length},(t,n)=>e[n%e.length]),i=Array.from({length:n[0]},(t,r)=>Cd(e.subarray(n[1]*r,n[1]*(r+1)))[0]+1n+BigInt(n[1]));return[new J(`int64`,r,[3,...n]),new J(`int64`,i,[i.length,1])]}{let[t,n]=e.dims;return[new J(`int64`,BigInt64Array.from({length:3*t*n},(e,r)=>BigInt(Math.floor(r%n/t))),[3,...e.dims]),Lf([t,1])]}}_reorder_and_write_positions(e,t,n,r){let i=e.reduce((e,t)=>e+t.length,0),a=Array(i),o=0;for(let t=0;t<3;++t)for(let n of e){let e=n.length/3;for(let r=t*e;r<(t+1)*e;++r)a[o++]=n[r]}let s=0;for(let e=0;e<t.length;++e)if(t[e]==1){for(let t=0;t<3;++t)n[t][r][e]=a[t*i/3+s];++s}return a}_get_multimodal_rope_positions({filtered_ids:e,image_grid_thw_list:t,video_grid_thw_list:n,spatial_merge_size:r,state:i}){let{image_token_id:a,video_token_id:o,vision_start_token_id:s}=this.config,c=e,l=c.reduce((e,t,n)=>(t==s&&e.push(n),e),[]).map(e=>c[e+1]),u=l.filter(e=>e==a).length,d=l.filter(e=>e==o).length,f=[],p=0,m=u,h=d;for(let e=0;e<l.length;++e){let e=c.findIndex((e,t)=>t>p&&e==a),s=c.findIndex((e,t)=>t>p&&e==o),l=m>0&&e!==-1?e:c.length+1,u=h>0&&s!==-1?s:c.length+1,d,g,_,v;l<u?([g,_,v]=t[i.image_index],++i.image_index,--m,d=l):([g,_,v]=n[i.video_index],++i.video_index,--h,d=u);let[y,b,x]=[Number(g),Math.floor(Number(_)/r),Math.floor(Number(v)/r)],S=d-p,C=f.length>0?Cd(f.at(-1))[0]+1:0;f.push(Array.from({length:3*S},(e,t)=>C+t%S));let ee=S+C,w=y*b*x,T=Array.from({length:w},(e,t)=>ee+Math.floor(t/(b*x))),E=Array.from({length:w},(e,t)=>ee+Math.floor(t/x)%b),te=Array.from({length:w},(e,t)=>ee+t%x);f.push([T,E,te].flat()),p=d+w}if(p<c.length){let e=f.length>0?Cd(f.at(-1))[0]+1:0,t=c.length-p;f.push(Array.from({length:3*t},(n,r)=>e+r%t))}return f}get_rope_index(e,t,n,r){let{vision_config:i}=this.config,a=i.spatial_merge_size??2;if(t||n){let i=e.tolist();r||=If(e);let o=r.tolist(),s=Array.from({length:3},()=>Array.from({length:e.dims[0]},()=>Array.from({length:e.dims[1]},()=>0))),c=t?t.tolist():[],l=n?n.tolist():[],u={image_index:0,video_index:0},d=[];for(let e=0;e<i.length;++e){let t=i[e].filter((t,n)=>o[e][n]==1),n=this._get_multimodal_rope_positions({filtered_ids:t,image_grid_thw_list:c,video_grid_thw_list:l,spatial_merge_size:a,state:u}),r=this._reorder_and_write_positions(n,o[e],s,e);d.push(Cd(r)[0]+1-i[e].length)}return[new J(`int64`,s.flat(1/0),[3,e.dims[0],e.dims[1]]),new J(`int64`,d,[d.length,1])]}return this._get_text_only_rope_index(e,r)}async encode_image({pixel_values:e,image_grid_thw:t}){return(await J_(this.sessions.vision_encoder,{pixel_values:e,[this.image_grid_thw_name]:t})).image_features}_merge_input_ids_with_image_features(e){return ly({image_token_id:this.config.image_token_id,...e})}prepare_inputs_for_generation(e,t,n){if(Qv(this,t,1n),!t.attention_mask||t.position_ids||!(this.sessions.decoder_model_merged??this.sessions.model).inputNames.includes(`position_ids`))return t;if(!t.past_key_values)[t.position_ids,t.rope_deltas]=this.get_rope_index(t.input_ids,t.image_grid_thw,t.video_grid_thw,t.attention_mask);else{t.pixel_values=null;let e=t.past_key_values.get_seq_length();if(e<t.input_ids.dims[1]){let[n,r]=this.get_rope_index(t.input_ids,t.image_grid_thw,t.video_grid_thw,t.attention_mask);t.rope_deltas=r,t.position_ids=n.slice(null,null,[e,null]),t.input_ids=t.input_ids.slice(null,[e,null])}else{t.rope_deltas||([,t.rope_deltas]=this.get_rope_index(t.input_ids,t.image_grid_thw,t.video_grid_thw,t.attention_mask));let n=BigInt(e),r=t.rope_deltas.map(e=>n+e);t.position_ids=Df([r,r,r],0)}}return t}},_C=class extends gC{},vC=class extends gC{image_grid_thw_name=`image_grid_thw`},yC=class extends _C{image_grid_thw_name=`image_grid_thw`},bC=class extends vC{get_vision_position_ids(e,t,n,r){let i=Math.floor(t[0]/n),a=Math.floor(t[1]/r),o=Math.floor(t[2]/r),s=a*o*i,c=Array.from({length:s},()=>e),l=Array.from({length:s},(t,n)=>e+Math.floor(n/(o*i))),u=Array.from({length:s},(t,n)=>e+n%o);return[...c,...l,...u]}_get_multimodal_rope_positions({filtered_ids:e,image_grid_thw_list:t,video_grid_thw_list:n,spatial_merge_size:r,state:i}){let{image_token_id:a}=this.config,o=[],s=0,c=+(e[0]==a);for(let t=1;t<=e.length;++t){let n=t<e.length?+(e[t]==a):-1;n!==c&&(o.push([c,s,t]),s=t,c=n)}let l=0,u=[];for(let[e,n,a]of o)if(e===0){let e=a-n;u.push(Array.from({length:3*e},(t,n)=>l+n%e)),l+=e}else{let e=t[i.image_index++].map(Number),n=e[0];u.push(this.get_vision_position_ids(l,e,n,r)),l+=Math.max(e[1],e[2])/r}return u}},xC=class extends ${},SC=class extends xC{},CC=class extends xC{},wC=class extends ${},TC=class extends wC{},EC=class extends wC{},DC=class extends ${},OC=class extends DC{},kC=class extends DC{},AC=class extends ${},jC=class extends AC{},MC=class extends AC{},NC=class extends ${},PC=class extends NC{},FC=class extends NC{},IC=class extends ${},LC=class extends IC{},RC=class extends IC{},zC=class extends ${},BC=class extends zC{},VC=class extends zC{},HC=class extends ${},UC=class extends HC{},WC=class extends HC{},GC=class extends ${},KC=class extends GC{},qC=class extends GC{},JC=class extends ${forward_params=[`input_ids`,`attention_mask`,`position_ids`,`audio_values`,`past_key_values`]},YC=class extends JC{_merge_input_ids_with_audio_features(e){let t=e.audio_features.dims.at(-1),n=e.audio_features.view(-1,t);return uy({audio_token_id:this.config.ignore_index??this.config.audio_token_id??this.config.audio_token_index,...e,audio_features:n})}},XC=class extends YC{forward_params=[`input_ids`,`attention_mask`,`input_features`,`past_key_values`]},ZC=class extends ${},QC=class extends ZC{},$C=class extends ${},ew=class extends $C{},tw=class extends ${},nw=class extends tw{},rw=class extends tw{},iw=class extends ${},aw=class extends iw{},ow=class extends iw{async _call(e){return new Z(await super._call(e))}},sw=class extends ${},cw=class extends sw{},lw=class extends sw{forward_params=[`input_ids`,`attention_mask`,`token_type_ids`,`past_key_values`];prepare_inputs_for_generation(e,t,n){let r=ay(this,e,t,n);return r.token_type_ids=(r.past_key_values?Rf:If)(r.input_ids),r}},uw=class extends ${},dw=class extends uw{},fw=class extends uw{async _call(e){return new tv(await super._call(e))}},pw=class extends uw{async _call(e){return new Z(await super._call(e))}},mw=class extends uw{async _call(e){return new Q_(await super._call(e))}},hw=class extends ${},gw=class extends uw{},_w=class extends uw{async _call(e){return new tv(await super._call(e))}},vw=class extends uw{async _call(e){return new Z(await super._call(e))}},yw=class extends ${},bw=class extends yw{},xw=class extends yw{},Sw=class extends ZS{forward_params=[`input_ids`,`attention_mask`,`pixel_values`,`pixel_attention_mask`,`position_ids`,`past_key_values`]},Cw=class extends ${},ww=class extends Cw{},Tw=class extends Cw{async _call(e){return new Z(await super._call(e))}},Ew=class extends ${},Dw=class extends Ew{},Ow=class extends Ew{},kw=class extends ${},Aw=class extends kw{async forward(e){let t=!e.input_ids,n=!e.pixel_values;if(t&&n)throw Error("Either `input_ids` or `pixel_values` should be provided.");if(t&&(e.input_ids=Ff([e.pixel_values.dims[0],1])),n){let{image_size:t}=this.config.vision_config;e.pixel_values=Nf([0,3,t,t],0)}let{text_embeddings:r,image_embeddings:i,l2norm_text_embeddings:a,l2norm_image_embeddings:o}=await super.forward(e),s={};return t||(s.text_embeddings=r,s.l2norm_text_embeddings=a),n||(s.image_embeddings=i,s.l2norm_image_embeddings=o),s}},jw=class extends kw{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`text_model`})}},Mw=class extends kw{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`vision_model`})}},Nw=class extends ${},Pw=class extends Nw{},Fw=class extends Nw{},Iw=class extends ZS{},Lw=class extends ${},Rw=class extends Lw{},zw=class extends Lw{},Bw=class extends ZS{forward_params=[`input_ids`,`attention_mask`,`pixel_values`,`pixel_attention_mask`,`spatial_shapes`,`position_ids`,`past_key_values`]},Vw=class extends ${},Hw=class extends Vw{},Uw=class extends Vw{},Ww=class extends ${},Gw=class extends Ww{},Kw=class extends ${},qw=class extends Kw{},Jw=class extends Kw{},Yw=class extends ${},Xw=class extends Yw{},Zw=class extends Yw{},Qw=class extends ${},$w=class extends Qw{},eT=class extends Qw{},tT=class extends ${},nT=class extends tT{},rT=class extends tT{},iT=class extends ${},aT=class extends iT{},oT=class extends iT{},sT=class extends iT{async _call(e){return new Z(await super._call(e))}},cT=class extends iT{},lT=class extends ${},uT=class extends lT{},dT=class extends ${},fT=class extends dT{},pT=class extends X_{constructor({char_logits:e,bpe_logits:t,wp_logits:n}){super(),this.char_logits=e,this.bpe_logits=t,this.wp_logits=n}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}},mT=class extends ${},hT=class extends mT{async _call(e){return new pT(await super._call(e))}},gT=class extends X_{constructor({audio_codes:e}){super(),this.audio_codes=e}},_T=class extends X_{constructor({audio_values:e}){super(),this.audio_values=e}},vT=class extends ${main_input_name=`input_values`;forward_params=[`input_values`]},yT=class extends vT{async encode(e){return new gT(await J_(this.sessions.encoder_model,e))}async decode(e){return new _T(await J_(this.sessions.decoder_model,e))}},bT=class extends vT{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`encoder_model`})}},xT=class extends vT{static async from_pretrained(e,t={}){return super.from_pretrained(e,{...t,model_file_name:t.model_file_name??`decoder_model`})}},ST=class extends ${},CT=class extends ST{},wT=class extends ST{},TT=class extends ${},ET=class extends TT{},DT=class extends TT{},OT=class extends ${},kT=class extends OT{},AT=class extends OT{},jT=class extends ZS{},MT=class extends ${},NT=class extends MT{},PT=class extends MT{},FT=class extends ${},IT=class extends FT{},LT=class extends FT{async _call(e){return new $_(await super._call(e))}},RT=class extends FT{async _call(e){return new Z(await super._call(e))}},zT=class extends FT{async _call(e){return new ev(await super._call(e))}},BT=class extends ${},VT=class extends BT{},HT=class extends BT{},UT=class extends ${},WT=class extends UT{},GT=class extends UT{async _call(e){return new Z(await super._call(e))}},KT=class extends UT{},qT=class extends ${},JT=class extends qT{},YT=class extends qT{async _call(e){return new Z(await super._call(e))}},XT=class extends qT{},ZT=class extends ${},QT=class extends ZT{},$T=class extends ZT{async _call(e){return new Z(await super._call(e))}},eE=class extends ZT{},tE=class extends ${},nE=class extends tE{},rE=class extends tE{async _call(e){return new Z(await super._call(e))}},iE=class extends tE{},aE=class extends ${},oE=class extends aE{},sE=class extends aE{async _call(e){return new Z(await super._call(e))}},cE=class extends ${},lE=class extends cE{},uE=class extends cE{async _call(e){return new Z(await super._call(e))}},dE=class extends ${},fE=class extends dE{},pE=class extends dE{async _call(e){return new $_(await super._call(e))}},mE=class extends dE{async _call(e){return new Z(await super._call(e))}},hE=class extends dE{async _call(e){return new Q_(await super._call(e))}},gE=class extends ${},_E=class extends gE{},vE=class extends gE{},yE=class extends ${requires_attention_mask=!1;main_input_name=`input_values`;forward_params=[`input_values`,`decoder_input_ids`,`past_key_values`]},bE=class extends yE{},xE=class extends yE{},SE=class extends ${},CE=class extends SE{},wE=class extends SE{async _call(e){return new $_(await super._call(e))}},TE=class extends SE{async _call(e){return new Z(await super._call(e))}},EE=class extends SE{async _call(e){return new Q_(await super._call(e))}},DE=class extends SE{async _call(e){return new ev(await super._call(e))}},OE=class extends ${},kE=class extends OE{},AE=class extends OE{},jE=class extends ${},ME=class extends jE{},NE=class extends jE{},PE=class extends ${},FE=class extends PE{forward_params=[`input_ids`,`pixel_values`,`images_seq_mask`,`images_emb_mask`,`attention_mask`,`position_ids`,`past_key_values`];constructor(...e){super(...e),this._generation_mode=`text`}async forward(e){let t=this._generation_mode??`text`,n;if(t===`text`||!e.past_key_values){let t=this.sessions.prepare_inputs_embeds;n=await J_(t,bo(e,t.inputNames))}else{let t=this.sessions.gen_img_embeds;n=await J_(t,bo({image_ids:e.input_ids},t.inputNames))}let r={...e,...n},i=await $v(this,r),a=this.sessions[t===`text`?`lm_head`:`gen_head`];if(!a)throw Error(`Unable to find "${a}" generation head`);let o=await J_(a,bo(i,a.inputNames));return{...n,...i,...o}}prepare_inputs_for_generation(e,t,n){let r=!!t.past_key_values;return Qv(this,t,1n),n.guidance_scale!==null&&n.guidance_scale>1&&(r?t.input_ids=Ef([t.input_ids,t.input_ids],0):(t.input_ids=Ef([t.input_ids,Pf(t.input_ids,BigInt(n.pad_token_id))],0),t.attention_mask=Ef([t.attention_mask,Pf(t.attention_mask,0n)],0))),(r||!t.pixel_values)&&(t.pixel_values=Nf([0,0,3,384,384],1)),r&&(t.images_seq_mask=new J(`bool`,[,].fill(!0).fill(!1,0,1),[1,1]),t.images_emb_mask=new J(`bool`,[].fill(!1),[1,1,0])),t}async generate(e){return this._generation_mode=`text`,super.generate(e)}async generate_images(e){this._generation_mode=`image`;let t=(e.inputs??e[this.main_input_name]).dims[1],n=(await super.generate(e)).slice(null,[t,null]),r=this.sessions.image_decode,{decoded_image:i}=await 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fD{async _call(e){return new Z(await super._call(e))}},hD=class extends ${},gD=class extends hD{},_D=class extends hD{},vD=class extends ${},yD=class extends vD{},bD=class extends vD{},xD=class extends ${},SD=class extends xD{},CD=class extends xD{},wD=class extends ${},TD=class extends wD{},ED=class extends wD{},DD=class extends ZS{},OD=class extends ${},kD=class extends OD{async _call(e){return new tv(await super._call(e))}},AD=class extends ${},jD=class extends AD{},MD=class extends AD{},ND=class extends ${},PD=class extends ND{},FD=class extends ND{},ID=class extends ${},LD=class extends ID{},RD=class extends ID{},zD=class extends ${},BD=class extends zD{},VD=class extends zD{},HD=class extends ${forward_params=[`input_ids`,`inputs_embeds`,`attention_mask`,`position_ids`,`pixel_values`,`image_sizes`,`past_key_values`]},UD=class extends HD{async forward({input_ids:e=null,attention_mask:t=null,pixel_values:n=null,image_sizes:r=null,position_ids:i=null,inputs_embeds:a=null,past_key_values:o=null,generation_config:s=null,logits_processor:c=null,num_logits_to_keep:l=null,...u}){if(!a){let t;if(n&&e.dims[1]!==1){if(!r)throw Error("`image_sizes` must be provided when `pixel_values` is provided.");({image_features:t}=await J_(this.sessions.vision_encoder,{pixel_values:n,image_sizes:r}))}else{let e=this.config.normalized_config.hidden_size;t=new J(`float32`,[],[0,e])}({inputs_embeds:a}=await J_(this.sessions.prepare_inputs_embeds,{input_ids:e,image_features:t}))}return await $v(this,{inputs_embeds:a,past_key_values:o,attention_mask:t,position_ids:i,generation_config:s,logits_processor:c,num_logits_to_keep:l},!1)}},WD=class extends ${},GD=class extends WD{},KD=class extends WD{async _call(e){return new Z(await super._call(e))}},qD=class extends ${},JD=class extends qD{},YD=class extends qD{async _call(e){return new Q_(await 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o={input_ids:e},{encoder_outputs:s,encoder_attention_mask:c}=await Kv(this,o),l=s.dims[1]/this.config.reduction_factor,u=Math.floor(l*i),d=Math.floor(l*r),f=this.config.num_mel_bins,p=[],m=null,h=null,g=0;for(;;){++g;let e=zv(!!h),r;r=h?h.output_sequence_out:new J(`float32`,new Float32Array(f),[1,1,f]);let i={use_cache_branch:e,output_sequence:r,encoder_attention_mask:c,speaker_embeddings:t,encoder_hidden_states:s};Zv(this,i,m),h=await J_(this.sessions.decoder_model_merged,i),m=Jv(h,m);let{prob:a,spectrum:o}=h;if(p.push(o),g>=d&&(Array.from(a.data).filter(e=>e>=n).length>0||g>=u))break}let _=Ef(p),{waveform:v}=await J_(a.sessions.model,{spectrogram:_});return{spectrogram:_,waveform:v}}},Ck=class extends ${main_input_name=`spectrogram`},wk=class extends ${},Tk=class extends wk{},Ek=class extends wk{async _call(e){return new $_(await super._call(e))}},Dk=class extends wk{async _call(e){return new Z(await super._call(e))}},Ok=class extends wk{async _call(e){return new ev(await 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X_{constructor({waveform:e,spectrogram:t}){super(),this.waveform=e,this.spectrogram=t}},DA=class extends ${},OA=class extends DA{async _call(e){return new EA(await super._call(e))}},kA=class extends YC{},AA=2,jA=1,MA=new WeakMap;function NA(e,t){let{text_config:n,audio_config:r}=e.config,i=e.sessions.audio_encoder,{num_mel_bins:a,hidden_size:o}=r,s=a+o,c=new kv,l=L_(r),u={batch_size:1},d=`float32`;for(let e of i.inputMetadata){if(e.name===`past_padding_cache`){d=e.type;continue}if(!l.has(e.name))continue;let t=Xv(e.shape,u),n=t.reduce((e,t)=>e*t,1),r=pf[e.type];c[e.name]=new J(e.type,new r(n),t)}let f=pf[d],p=new J(d,new f(s*AA),[1,s,AA]),m=t[Symbol.asyncIterator]?.()??t[Symbol.iterator]?.();if(!m)throw Error(`input_features must be iterable or async 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defaulting to English (en).`),`en`);let i=`<|${Up(n)}|>`;t.push(e.lang_to_id[i]),t.push(e.task_to_id[r??`transcribe`])}else if(n||r)throw Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!e.return_timestamps&&e.no_timestamps_token_id&&t.at(-1)!==e.no_timestamps_token_id?t.push(e.no_timestamps_token_id):e.return_timestamps&&t.at(-1)===e.no_timestamps_token_id&&(B.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),t.pop()),t.filter(e=>e!=null)}async generate({inputs:e=null,generation_config:t=null,logits_processor:n=null,stopping_criteria:r=null,...i}){t=this._prepare_generation_config(t,i);let a=i.decoder_input_ids instanceof J?Uf(i.decoder_input_ids):i.decoder_input_ids??this._retrieve_init_tokens(t);if(t.return_timestamps&&(n??=new sv,n.push(new fv(t,a))),t.begin_suppress_tokens&&(n??=new sv,n.push(new dv(t.begin_suppress_tokens,a.length))),t.return_token_timestamps){if(!t.alignment_heads)throw Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");t.task===`translate`&&B.warn(`Token-level timestamps may not be reliable for task 'translate'.`),t.output_attentions=!0,t.return_dict_in_generate=!0}if(t.return_timestamps&&!i.max_new_tokens)return this._generate_with_seek({inputs:e,generation_config:t,logits_processor:n,init_tokens:a,kwargs:i});let o=await super.generate({inputs:e,generation_config:t,logits_processor:n,decoder_input_ids:a,...i});return t.return_token_timestamps&&(o.token_timestamps=this._extract_token_timestamps(o,t.alignment_heads,t.num_frames,.02,a.length)),o}async _generate_with_seek({inputs:e,generation_config:t,logits_processor:n,init_tokens:r,kwargs:i}){let a=t.no_timestamps_token_id+1,o=Array.isArray(t.eos_token_id)?t.eos_token_id[0]:t.eos_token_id,s=t.return_token_timestamps,c=e,l=c.dims[2],u=2*this.config.max_source_positions,d=0,f=[],p=[];for(;d<l;){let e=Math.min(d+u,l),m=c.slice(null,null,[d,e]),h,g=m.dims[2];if(g<u){let e=c.dims[1],t=new Float32Array(e*u),n=m.data;for(let r=0;r<e;++r)t.set(n.subarray(r*g,(r+1)*g),r*u);h=new J(`float32`,t,[1,e,u])}else h=m;if(n)for(let e of n)`begin_index`in e&&(e.begin_index=r.length);let _=await super.generate({inputs:h,generation_config:t,logits_processor:n,decoder_input_ids:r,...i}),v=(s?_.sequences:_)[0].tolist().map(Number).slice(r.length),y;if(s){_.token_timestamps=this._extract_token_timestamps(_,t.alignment_heads,Math.floor((e-d)/2),.02,r.length);let n=d/2*.02;y=_.token_timestamps[0].tolist().slice(r.length).map(e=>e+n)}if(v.length>0&&v.at(-1)===o&&v.pop(),v.length===0)break;let b=v.map(e=>e>=a),x=v.length>=2&&b[v.length-1]&&!b[v.length-2],S=[];for(let e=0;e<v.length-1;++e)b[e]&&b[e+1]&&S.push(e+1);let C,ee=v.length;if(S.length>0){if(x)C=e-d;else{let e=S.at(-1);C=(v[e-1]-a)*2,ee=e}}else C=e-d;let w=Math.floor(d/2),T=a+1500;for(let e=0;e<ee;++e)v[e]>=a&&(v[e]=Math.min(v[e]+w,T));f.push(...v.slice(0,ee)),y&&p.push(...y.slice(0,ee)),d+=C}f.push(o);let m=[...r,...f];if(s){let e=new J(`int64`,m.map(BigInt),[1,m.length]),t=[...Array(r.length).fill(0),...p,0];return{sequences:e,token_timestamps:new J(`float32`,new Float32Array(t),[1,t.length])}}return new J(`int64`,m.map(BigInt),[1,m.length])}_extract_token_timestamps(e,t,n=null,r=.02,i=0){if(!e.cross_attentions)throw Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");n??B.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let a=this.config.median_filter_width;a===void 0&&(B.warn("Model config has no `median_filter_width`, using default value of 7."),a=7);let o=e.cross_attentions,s=Array.from({length:this.config.decoder_layers},(e,t)=>Ef(o.map(e=>e[t]),2)),c=Df(t.map(([e,t])=>{if(e>=s.length)throw Error(`Layer index ${e} is out of bounds for cross attentions (length ${s.length}).`);return n?s[e].slice(null,t,null,[0,n]):s[e].slice(null,t)})).permute(1,0,2,3),[l,u]=kf(c,-2,0,!0),d=c.clone();for(let e=0;e<d.dims[0];++e){let t=d[e];for(let n=0;n<t.dims[0];++n){let r=t[n],i=l[e][n][0].data,o=u[e][n][0].data;for(let e=0;e<r.dims[0];++e){let t=r[e].data;for(let e=0;e<t.length;++e)t[e]=(t[e]-o[e])/i[e];t.set(Od(t,a))}}}let f=[Af(i>0?d.slice(null,null,[i,d.dims[2]],null):d,1)],p=e.sequences.dims,m=new J(`float32`,new Float32Array(p[0]*p[1]),p);for(let e=0;e<p[0];++e){let[t,n]=jd(f[e].neg().squeeze_(0).tolist()),a=_o([1],Array.from({length:t.length-1},(e,n)=>t[n+1]-t[n])).map(e=>!!e),o=[];for(let e=0;e<a.length;++e)a[e]&&o.push(n[e]*r);let s=Array(i).fill(0);s.push(...o),o.length>0&&s.push(o.at(-1)),m[e].data.set(s)}return m}},rj=class extends nj{},ij=class extends ${},aj=class extends ij{},oj=class extends ij{async _call(e){return new $_(await super._call(e))}},sj=class extends ij{async _call(e){return new Z(await super._call(e))}},cj=class extends ij{async _call(e){return new Q_(await super._call(e))}},lj=class extends ij{async _call(e){return new ev(await super._call(e))}},uj=class extends ${},dj=class extends uj{},fj=class extends uj{async _call(e){return new $_(await super._call(e))}},pj=class extends uj{async _call(e){return new Z(await super._call(e))}},mj=class extends uj{async _call(e){return new Q_(await super._call(e))}},hj=class extends uj{async _call(e){return new ev(await super._call(e))}},gj=class extends ${},_j=class extends gj{},vj=class extends gj{async _call(e){return new yj(await super._call(e))}},yj=class extends X_{constructor({logits:e,pred_boxes:t}){super(),this.logits=e,this.pred_boxes=t}},bj=class extends ${},xj=class extends bj{},Sj=class extends bj{},Cj=class extends ${},wj=class extends Cj{},Tj=class extends Cj{},Ej=new Map([[`bert`,`BertModel`],[`eurobert`,`EuroBertModel`],[`neobert`,`NeoBertModel`],[`modernbert`,`ModernBertModel`],[`nomic_bert`,`NomicBertModel`],[`roformer`,`RoFormerModel`],[`electra`,`ElectraModel`],[`esm`,`EsmModel`],[`convbert`,`ConvBertModel`],[`camembert`,`CamembertModel`],[`deberta`,`DebertaModel`],[`deberta-v2`,`DebertaV2Model`],[`mpnet`,`MPNetModel`],[`albert`,`AlbertModel`],[`distilbert`,`DistilBertModel`],[`roberta`,`RobertaModel`],[`xlm`,`XLMModel`],[`xlm-roberta`,`XLMRobertaModel`],[`clap`,`ClapModel`],[`clip`,`CLIPModel`],[`clipseg`,`CLIPSegModel`],[`chinese_clip`,`ChineseCLIPModel`],[`siglip`,`SiglipModel`],[`jina_clip`,`JinaCLIPModel`],[`mobilebert`,`MobileBertModel`],[`squeezebert`,`SqueezeBertModel`],[`wav2vec2`,`Wav2Vec2Model`],[`wav2vec2-bert`,`Wav2Vec2BertModel`],[`unispeech`,`UniSpeechModel`],[`unispeech-sat`,`UniSpeechSatModel`],[`hubert`,`HubertModel`],[`wavlm`,`WavLMModel`],[`audio-spectrogram-transformer`,`ASTModel`],[`vits`,`VitsModel`],[`pyannote`,`PyAnnoteModel`],[`wespeaker-resnet`,`WeSpeakerResNetModel`],[`detr`,`DetrModel`],[`rt_detr`,`RTDetrModel`],[`rt_detr_v2`,`RTDetrV2Model`],[`rf_detr`,`RFDetrModel`],[`d_fine`,`DFineModel`],[`table-transformer`,`TableTransformerModel`],[`vit`,`ViTModel`],[`ijepa`,`IJepaModel`],[`pvt`,`PvtModel`],[`vit_msn`,`ViTMSNModel`],[`vit_mae`,`ViTMAEModel`],[`groupvit`,`GroupViTModel`],[`fastvit`,`FastViTModel`],[`mobilevit`,`MobileViTModel`],[`mobilevitv2`,`MobileViTV2Model`],[`owlvit`,`OwlViTModel`],[`owlv2`,`Owlv2Model`],[`beit`,`BeitModel`],[`deit`,`DeiTModel`],[`hiera`,`HieraModel`],[`convnext`,`ConvNextModel`],[`convnextv2`,`ConvNextV2Model`],[`dinov2`,`Dinov2Model`],[`dinov2_with_registers`,`Dinov2WithRegistersModel`],[`dinov3_vit`,`DINOv3ViTModel`],[`dinov3_convnext`,`DINOv3ConvNextModel`],[`resnet`,`ResNetModel`],[`swin`,`SwinModel`],[`swin2sr`,`Swin2SRModel`],[`donut-swin`,`DonutSwinModel`],[`yolos`,`YolosModel`],[`dpt`,`DPTModel`],[`glpn`,`GLPNModel`],[`hifigan`,`SpeechT5HifiGan`],[`efficientnet`,`EfficientNetModel`],[`decision_transformer`,`DecisionTransformerModel`],[`patchtst`,`PatchTSTModel`],[`patchtsmixer`,`PatchTSMixerModel`],[`mobilenet_v1`,`MobileNetV1Model`],[`mobilenet_v2`,`MobileNetV2Model`],[`mobilenet_v3`,`MobileNetV3Model`],[`mobilenet_v4`,`MobileNetV4Model`],[`maskformer`,`MaskFormerModel`],[`mgp-str`,`MgpstrForSceneTextRecognition`],[`style_text_to_speech_2`,`StyleTextToSpeech2Model`],[`openai_privacy_filter`,`OpenAIPrivacyFilterModel`]]),Dj=new Map([[`t5`,`T5Model`],[`longt5`,`LongT5Model`],[`mt5`,`MT5Model`],[`bart`,`BartModel`],[`mbart`,`MBartModel`],[`marian`,`MarianModel`],[`whisper`,`WhisperModel`],[`cohere_asr`,`CohereAsrModel`],[`m2m_100`,`M2M100Model`],[`blenderbot`,`BlenderbotModel`],[`blenderbot-small`,`BlenderbotSmallModel`]]),Oj=new Map([[`mimi`,`MimiModel`],[`dac`,`DacModel`],[`snac`,`SnacModel`]]),kj=new Map([[`bloom`,`BloomModel`],[`jais`,`JAISModel`],[`gpt2`,`GPT2Model`],[`gpt_oss`,`GptOssModel`],[`gptj`,`GPTJModel`],[`gpt_bigcode`,`GPTBigCodeModel`],[`gpt_neo`,`GPTNeoModel`],[`gpt_neox`,`GPTNeoXModel`],[`codegen`,`CodeGenModel`],[`llama`,`LlamaModel`],[`apertus`,`ApertusModel`],[`nanochat`,`NanoChatModel`],[`arcee`,`ArceeModel`],[`afmoe`,`AfmoeModel`],[`lfm2`,`Lfm2Model`],[`lfm2_moe`,`Lfm2MoeModel`],[`smollm3`,`SmolLM3Model`],[`exaone`,`ExaoneModel`],[`olmo`,`OlmoModel`],[`olmo2`,`Olmo2Model`],[`olmo3`,`Olmo3Model`],[`olmo_hybrid`,`OlmoHybridModel`],[`mobilellm`,`MobileLLMModel`],[`granite`,`GraniteModel`],[`granitemoehybrid`,`GraniteMoeHybridModel`],[`cohere`,`CohereModel`],[`cohere2`,`Cohere2Model`],[`gemma`,`GemmaModel`],[`gemma2`,`Gemma2Model`],[`vaultgemma`,`VaultGemmaModel`],[`gemma3_text`,`Gemma3Model`],[`helium`,`HeliumModel`],[`glm`,`GlmModel`],[`glm_moe_dsa`,`GlmMoeDsaModel`],[`openelm`,`OpenELMModel`],[`qwen2`,`Qwen2Model`],[`qwen2_moe`,`Qwen2MoeModel`],[`qwen3`,`Qwen3Model`],[`qwen3_moe`,`Qwen3MoeModel`],[`qwen3_next`,`Qwen3NextModel`],[`phi`,`PhiModel`],[`phi3`,`Phi3Model`],[`mpt`,`MptModel`],[`opt`,`OPTModel`],[`mistral`,`MistralModel`],[`mistral4`,`Mistral4Model`],[`ministral`,`MinistralModel`],[`ministral3`,`Ministral3Model`],[`ernie4_5`,`Ernie4_5ForCausalLM`],[`starcoder2`,`Starcoder2Model`],[`deepseek_v3`,`DeepseekV3Model`],[`deepseek_v4`,`DeepseekV4Model`],[`falcon`,`FalconModel`],[`falcon_h1`,`FalconH1Model`],[`nemotron_h`,`NemotronHModel`],[`solar_open`,`SolarOpenModel`],[`stablelm`,`StableLmModel`],[`modernbert-decoder`,`ModernBertDecoderModel`],[`hunyuan_v1_dense`,`HunYuanDenseV1Model`],[`youtu`,`YoutuModel`],[`zaya`,`ZayaModel`],[`hrm_text`,`HrmTextModel`]]),Aj=new Map([[`speecht5`,`SpeechT5ForSpeechToText`],[`whisper`,`WhisperForConditionalGeneration`],[`lite-whisper`,`LiteWhisperForConditionalGeneration`],[`moonshine`,`MoonshineForConditionalGeneration`],[`cohere_asr`,`CohereAsrForConditionalGeneration`]]),jj=new Map([[`speecht5`,`SpeechT5ForTextToSpeech`]]),Mj=new Map([[`vits`,`VitsModel`],[`musicgen`,`MusicgenForConditionalGeneration`],[`supertonic`,`SupertonicForConditionalGeneration`]]),Nj=new Map([[`bert`,`BertForSequenceClassification`],[`eurobert`,`EuroBertForSequenceClassification`],[`neobert`,`NeoBertForSequenceClassification`],[`modernbert`,`ModernBertForSequenceClassification`],[`roformer`,`RoFormerForSequenceClassification`],[`electra`,`ElectraForSequenceClassification`],[`esm`,`EsmForSequenceClassification`],[`convbert`,`ConvBertForSequenceClassification`],[`camembert`,`CamembertForSequenceClassification`],[`deberta`,`DebertaForSequenceClassification`],[`deberta-v2`,`DebertaV2ForSequenceClassification`],[`mpnet`,`MPNetForSequenceClassification`],[`albert`,`AlbertForSequenceClassification`],[`distilbert`,`DistilBertForSequenceClassification`],[`roberta`,`RobertaForSequenceClassification`],[`xlm`,`XLMForSequenceClassification`],[`xlm-roberta`,`XLMRobertaForSequenceClassification`],[`bart`,`BartForSequenceClassification`],[`mbart`,`MBartForSequenceClassification`],[`mobilebert`,`MobileBertForSequenceClassification`],[`squeezebert`,`SqueezeBertForSequenceClassification`]]),Pj=new Map([[`bert`,`BertForTokenClassification`],[`eurobert`,`EuroBertForTokenClassification`],[`neobert`,`NeoBertForTokenClassification`],[`modernbert`,`ModernBertForTokenClassification`],[`roformer`,`RoFormerForTokenClassification`],[`electra`,`ElectraForTokenClassification`],[`esm`,`EsmForTokenClassification`],[`convbert`,`ConvBertForTokenClassification`],[`camembert`,`CamembertForTokenClassification`],[`deberta`,`DebertaForTokenClassification`],[`deberta-v2`,`DebertaV2ForTokenClassification`],[`mpnet`,`MPNetForTokenClassification`],[`distilbert`,`DistilBertForTokenClassification`],[`roberta`,`RobertaForTokenClassification`],[`xlm`,`XLMForTokenClassification`],[`xlm-roberta`,`XLMRobertaForTokenClassification`],[`openai_privacy_filter`,`OpenAIPrivacyFilterForTokenClassification`]]),Fj=new Map([[`t5`,`T5ForConditionalGeneration`],[`longt5`,`LongT5ForConditionalGeneration`],[`mt5`,`MT5ForConditionalGeneration`],[`bart`,`BartForConditionalGeneration`],[`mbart`,`MBartForConditionalGeneration`],[`marian`,`MarianMTModel`],[`m2m_100`,`M2M100ForConditionalGeneration`],[`blenderbot`,`BlenderbotForConditionalGeneration`],[`blenderbot-small`,`BlenderbotSmallForConditionalGeneration`]]),Ij=new Map([[`bloom`,`BloomForCausalLM`],[`gpt2`,`GPT2LMHeadModel`],[`gpt_oss`,`GptOssForCausalLM`],[`jais`,`JAISLMHeadModel`],[`gptj`,`GPTJForCausalLM`],[`gpt_bigcode`,`GPTBigCodeForCausalLM`],[`gpt_neo`,`GPTNeoForCausalLM`],[`gpt_neox`,`GPTNeoXForCausalLM`],[`codegen`,`CodeGenForCausalLM`],[`llama`,`LlamaForCausalLM`],[`nanochat`,`NanoChatForCausalLM`],[`apertus`,`ApertusForCausalLM`],[`llama4_text`,`Llama4ForCausalLM`],[`arcee`,`ArceeForCausalLM`],[`afmoe`,`AfmoeForCausalLM`],[`lfm2`,`Lfm2ForCausalLM`],[`lfm2_moe`,`Lfm2MoeForCausalLM`],[`smollm3`,`SmolLM3ForCausalLM`],[`exaone`,`ExaoneForCausalLM`],[`olmo`,`OlmoForCausalLM`],[`olmo2`,`Olmo2ForCausalLM`],[`olmo3`,`Olmo3ForCausalLM`],[`olmo_hybrid`,`OlmoHybridForCausalLM`],[`mobilellm`,`MobileLLMForCausalLM`],[`granite`,`GraniteForCausalLM`],[`granitemoehybrid`,`GraniteMoeHybridForCausalLM`],[`cohere`,`CohereForCausalLM`],[`cohere2`,`Cohere2ForCausalLM`],[`gemma`,`GemmaForCausalLM`],[`gemma2`,`Gemma2ForCausalLM`],[`vaultgemma`,`VaultGemmaForCausalLM`],[`gemma3_text`,`Gemma3ForCausalLM`],[`gemma3`,`Gemma3ForCausalLM`],[`helium`,`HeliumForCausalLM`],[`glm`,`GlmForCausalLM`],[`glm_moe_dsa`,`GlmMoeDsaForCausalLM`],[`openelm`,`OpenELMForCausalLM`],[`qwen2`,`Qwen2ForCausalLM`],[`qwen2_moe`,`Qwen2MoeForCausalLM`],[`qwen3`,`Qwen3ForCausalLM`],[`qwen3_moe`,`Qwen3MoeForCausalLM`],[`qwen3_next`,`Qwen3NextForCausalLM`],[`qwen2_vl`,`Qwen2VLForCausalLM`],[`qwen2_5_vl`,`Qwen2_5_VLForCausalLM`],[`qwen3_vl`,`Qwen3VLForCausalLM`],[`qwen3_vl_moe`,`Qwen3VLMoeForCausalLM`],[`qwen3_5`,`Qwen3_5ForCausalLM`],[`qwen3_5_text`,`Qwen3_5ForCausalLM`],[`qwen3_5_moe`,`Qwen3_5MoeForCausalLM`],[`gemma3n`,`Gemma3nForCausalLM`],[`gemma4`,`Gemma4ForCausalLM`],[`phi`,`PhiForCausalLM`],[`phi3`,`Phi3ForCausalLM`],[`mpt`,`MptForCausalLM`],[`opt`,`OPTForCausalLM`],[`mbart`,`MBartForCausalLM`],[`mistral`,`MistralForCausalLM`],[`mistral4`,`Mistral4ForCausalLM`],[`ministral`,`MinistralForCausalLM`],[`ministral3`,`Ministral3ForCausalLM`],[`ernie4_5`,`Ernie4_5ForCausalLM`],[`starcoder2`,`Starcoder2ForCausalLM`],[`deepseek_v3`,`DeepseekV3ForCausalLM`],[`deepseek_v4`,`DeepseekV4ForCausalLM`],[`falcon`,`FalconForCausalLM`],[`falcon_h1`,`FalconH1ForCausalLM`],[`nemotron_h`,`NemotronHForCausalLM`],[`trocr`,`TrOCRForCausalLM`],[`solar_open`,`SolarOpenForCausalLM`],[`stablelm`,`StableLmForCausalLM`],[`modernbert-decoder`,`ModernBertDecoderForCausalLM`],[`hunyuan_v1_dense`,`HunYuanDenseV1ForCausalLM`],[`youtu`,`YoutuForCausalLM`],[`zaya`,`ZayaForCausalLM`],[`hrm_text`,`HrmTextForCausalLM`],[`phi3_v`,`Phi3VForCausalLM`]]),Lj=new Map([[`multi_modality`,`MultiModalityCausalLM`]]),Rj=new Map([[`bert`,`BertForMaskedLM`],[`eurobert`,`EuroBertForMaskedLM`],[`neobert`,`NeoBertForMaskedLM`],[`modernbert`,`ModernBertForMaskedLM`],[`roformer`,`RoFormerForMaskedLM`],[`electra`,`ElectraForMaskedLM`],[`esm`,`EsmForMaskedLM`],[`convbert`,`ConvBertForMaskedLM`],[`camembert`,`CamembertForMaskedLM`],[`deberta`,`DebertaForMaskedLM`],[`deberta-v2`,`DebertaV2ForMaskedLM`],[`mpnet`,`MPNetForMaskedLM`],[`albert`,`AlbertForMaskedLM`],[`distilbert`,`DistilBertForMaskedLM`],[`roberta`,`RobertaForMaskedLM`],[`xlm`,`XLMWithLMHeadModel`],[`xlm-roberta`,`XLMRobertaForMaskedLM`],[`mobilebert`,`MobileBertForMaskedLM`],[`squeezebert`,`SqueezeBertForMaskedLM`]]),zj=new Map([[`bert`,`BertForQuestionAnswering`],[`neobert`,`NeoBertForQuestionAnswering`],[`roformer`,`RoFormerForQuestionAnswering`],[`electra`,`ElectraForQuestionAnswering`],[`convbert`,`ConvBertForQuestionAnswering`],[`camembert`,`CamembertForQuestionAnswering`],[`deberta`,`DebertaForQuestionAnswering`],[`deberta-v2`,`DebertaV2ForQuestionAnswering`],[`mpnet`,`MPNetForQuestionAnswering`],[`albert`,`AlbertForQuestionAnswering`],[`distilbert`,`DistilBertForQuestionAnswering`],[`roberta`,`RobertaForQuestionAnswering`],[`xlm`,`XLMForQuestionAnswering`],[`xlm-roberta`,`XLMRobertaForQuestionAnswering`],[`mobilebert`,`MobileBertForQuestionAnswering`],[`squeezebert`,`SqueezeBertForQuestionAnswering`]]),Bj=new Map([[`vision-encoder-decoder`,`VisionEncoderDecoderModel`],[`idefics3`,`Idefics3ForConditionalGeneration`],[`smolvlm`,`SmolVLMForConditionalGeneration`]]),Vj=new Map([[`llava`,`LlavaForConditionalGeneration`],[`llava_onevision`,`LlavaOnevisionForConditionalGeneration`],[`moondream1`,`Moondream1ForConditionalGeneration`],[`florence2`,`Florence2ForConditionalGeneration`],[`qwen2_vl`,`Qwen2VLForConditionalGeneration`],[`qwen2_5_vl`,`Qwen2_5_VLForConditionalGeneration`],[`qwen3_vl`,`Qwen3VLForConditionalGeneration`],[`qwen3_vl_moe`,`Qwen3VLMoeForConditionalGeneration`],[`qwen3_5`,`Qwen3_5ForConditionalGeneration`],[`qwen3_5_moe`,`Qwen3_5MoeForConditionalGeneration`],[`lfm2_vl`,`Lfm2VlForConditionalGeneration`],[`idefics3`,`Idefics3ForConditionalGeneration`],[`smolvlm`,`SmolVLMForConditionalGeneration`],[`paligemma`,`PaliGemmaForConditionalGeneration`],[`llava_qwen2`,`LlavaQwen2ForCausalLM`],[`gemma3`,`Gemma3ForConditionalGeneration`],[`gemma3n`,`Gemma3nForConditionalGeneration`],[`gemma4`,`Gemma4ForConditionalGeneration`],[`mistral3`,`Mistral3ForConditionalGeneration`],[`lighton_ocr`,`LightOnOcrForConditionalGeneration`],[`glm_ocr`,`GlmOcrForConditionalGeneration`]]),Hj=new Map([[`granite_speech`,`GraniteSpeechForConditionalGeneration`],[`ultravox`,`UltravoxModel`],[`voxtral`,`VoxtralForConditionalGeneration`],[`voxtral_realtime`,`VoxtralRealtimeForConditionalGeneration`]]),Uj=new Map([[`vision-encoder-decoder`,`VisionEncoderDecoderModel`]]),Wj=new Map([[`vit`,`ViTForImageClassification`],[`ijepa`,`IJepaForImageClassification`],[`pvt`,`PvtForImageClassification`],[`vit_msn`,`ViTMSNForImageClassification`],[`fastvit`,`FastViTForImageClassification`],[`mobilevit`,`MobileViTForImageClassification`],[`mobilevitv2`,`MobileViTV2ForImageClassification`],[`beit`,`BeitForImageClassification`],[`deit`,`DeiTForImageClassification`],[`hiera`,`HieraForImageClassification`],[`convnext`,`ConvNextForImageClassification`],[`convnextv2`,`ConvNextV2ForImageClassification`],[`dinov2`,`Dinov2ForImageClassification`],[`dinov2_with_registers`,`Dinov2WithRegistersForImageClassification`],[`resnet`,`ResNetForImageClassification`],[`swin`,`SwinForImageClassification`],[`segformer`,`SegformerForImageClassification`],[`efficientnet`,`EfficientNetForImageClassification`],[`mobilenet_v1`,`MobileNetV1ForImageClassification`],[`mobilenet_v2`,`MobileNetV2ForImageClassification`],[`mobilenet_v3`,`MobileNetV3ForImageClassification`],[`mobilenet_v4`,`MobileNetV4ForImageClassification`]]),Gj=new Map([[`detr`,`DetrForObjectDetection`],[`rt_detr`,`RTDetrForObjectDetection`],[`rt_detr_v2`,`RTDetrV2ForObjectDetection`],[`rf_detr`,`RFDetrForObjectDetection`],[`d_fine`,`DFineForObjectDetection`],[`table-transformer`,`TableTransformerForObjectDetection`],[`yolos`,`YolosForObjectDetection`]]),Kj=new Map([[`owlvit`,`OwlViTForObjectDetection`],[`owlv2`,`Owlv2ForObjectDetection`],[`grounding-dino`,`GroundingDinoForObjectDetection`]]),qj=new Map([[`detr`,`DetrForSegmentation`],[`clipseg`,`CLIPSegForImageSegmentation`]]),Jj=new Map([[`segformer`,`SegformerForSemanticSegmentation`],[`sapiens`,`SapiensForSemanticSegmentation`],[`swin`,`SwinForSemanticSegmentation`],[`mobilenet_v1`,`MobileNetV1ForSemanticSegmentation`],[`mobilenet_v2`,`MobileNetV2ForSemanticSegmentation`],[`mobilenet_v3`,`MobileNetV3ForSemanticSegmentation`],[`mobilenet_v4`,`MobileNetV4ForSemanticSegmentation`]]),Yj=new Map([[`detr`,`DetrForSegmentation`],[`maskformer`,`MaskFormerForInstanceSegmentation`]]),Xj=new Map([[`sam`,`SamModel`],[`sam2`,`Sam2Model`],[`edgetam`,`EdgeTamModel`],[`sam3_tracker`,`Sam3TrackerModel`]]),Zj=new Map([[`wav2vec2`,`Wav2Vec2ForCTC`],[`wav2vec2-bert`,`Wav2Vec2BertForCTC`],[`unispeech`,`UniSpeechForCTC`],[`unispeech-sat`,`UniSpeechSatForCTC`],[`wavlm`,`WavLMForCTC`],[`hubert`,`HubertForCTC`],[`parakeet_ctc`,`ParakeetForCTC`]]),Qj=new Map([[`wav2vec2`,`Wav2Vec2ForSequenceClassification`],[`wav2vec2-bert`,`Wav2Vec2BertForSequenceClassification`],[`unispeech`,`UniSpeechForSequenceClassification`],[`unispeech-sat`,`UniSpeechSatForSequenceClassification`],[`wavlm`,`WavLMForSequenceClassification`],[`hubert`,`HubertForSequenceClassification`],[`audio-spectrogram-transformer`,`ASTForAudioClassification`]]),$j=new Map([[`wavlm`,`WavLMForXVector`]]),eM=new Map([[`unispeech-sat`,`UniSpeechSatForAudioFrameClassification`],[`wavlm`,`WavLMForAudioFrameClassification`],[`wav2vec2`,`Wav2Vec2ForAudioFrameClassification`],[`pyannote`,`PyAnnoteForAudioFrameClassification`]]),tM=new Map([[`vitmatte`,`VitMatteForImageMatting`]]),nM=new Map([[`patchtst`,`PatchTSTForPrediction`],[`patchtsmixer`,`PatchTSMixerForPrediction`]]),rM=new Map([[`swin2sr`,`Swin2SRForImageSuperResolution`]]),iM=new Map([[`chmv2`,`CHMv2ForDepthEstimation`],[`dpt`,`DPTForDepthEstimation`],[`depth_anything`,`DepthAnythingForDepthEstimation`],[`glpn`,`GLPNForDepthEstimation`],[`sapiens`,`SapiensForDepthEstimation`],[`depth_pro`,`DepthProForDepthEstimation`],[`metric3d`,`Metric3DForDepthEstimation`],[`metric3dv2`,`Metric3Dv2ForDepthEstimation`]]),aM=new Map([[`sapiens`,`SapiensForNormalEstimation`]]),oM=new Map([[`vitpose`,`VitPoseForPoseEstimation`]]),sM=new Map([[`clip`,`CLIPVisionModelWithProjection`],[`siglip`,`SiglipVisionModel`],[`jina_clip`,`JinaCLIPVisionModel`]]),cM=[[Ej,Q.EncoderOnly],[Dj,Q.EncoderDecoder],[kj,Q.DecoderOnlyWithoutHead],[Oj,Q.AutoEncoder],[Nj,Q.EncoderOnly],[Pj,Q.EncoderOnly],[Fj,Q.Seq2Seq],[Aj,Q.Seq2Seq],[Ij,Q.DecoderOnly],[Lj,Q.MultiModality],[Rj,Q.EncoderOnly],[zj,Q.EncoderOnly],[Bj,Q.Vision2Seq],[Vj,Q.ImageTextToText],[Hj,Q.AudioTextToText],[Wj,Q.EncoderOnly],[qj,Q.EncoderOnly],[Yj,Q.EncoderOnly],[Jj,Q.EncoderOnly],[tM,Q.EncoderOnly],[nM,Q.EncoderOnly],[rM,Q.EncoderOnly],[iM,Q.EncoderOnly],[aM,Q.EncoderOnly],[oM,Q.EncoderOnly],[Gj,Q.EncoderOnly],[Kj,Q.EncoderOnly],[Xj,Q.MaskGeneration],[Zj,Q.EncoderOnly],[Qj,Q.EncoderOnly],[jj,Q.Seq2Seq],[Mj,Q.EncoderOnly],[$j,Q.EncoderOnly],[eM,Q.EncoderOnly],[sM,Q.EncoderOnly]];for(let[e,t]of cM)for(let n of e.values()){Hv.set(n,t);let e=fy[n];Wv.set(e,n),Uv.set(n,e)}var lM=[[`MusicgenForConditionalGeneration`,zE,Q.Musicgen],[`Phi3VForCausalLM`,UD,Q.Phi3V],[`CLIPTextModelWithProjection`,yb,Q.EncoderOnly],[`SiglipTextModel`,ok,Q.EncoderOnly],[`JinaCLIPTextModel`,jw,Q.EncoderOnly],[`ClapTextModelWithProjection`,mb,Q.EncoderOnly],[`ClapAudioModelWithProjection`,hb,Q.EncoderOnly],[`DacEncoderModel`,ox,Q.EncoderOnly],[`DacDecoderModel`,sx,Q.EncoderOnly],[`MimiEncoderModel`,bT,Q.EncoderOnly],[`MimiDecoderModel`,xT,Q.EncoderOnly],[`SnacEncoderModel`,mk,Q.EncoderOnly],[`SnacDecoderModel`,hk,Q.EncoderOnly],[`Gemma3nForConditionalGeneration`,aC,Q.ImageAudioTextToText],[`Gemma4ForConditionalGeneration`,sC,Q.ImageAudioTextToText],[`SupertonicForConditionalGeneration`,Rk,Q.Supertonic],[`ChatterboxModel`,sb,Q.Chatterbox],[`VoxtralRealtimeForConditionalGeneration`,zA,Q.VoxtralRealtime]];for(let[e,t,n]of lM)Hv.set(e,n),Wv.set(t,e),Uv.set(e,t);var uM=new Map([[`modnet`,qj],[`birefnet`,qj],[`isnet`,qj],[`ben`,qj]]);for(let[e,t]of uM.entries())t.set(e,`PreTrainedModel`),Hv.set(e,Q.EncoderOnly),Uv.set(e,$);var dM=new Set(uM.keys());Hv.set(`PreTrainedModel`,Q.EncoderOnly),Wv.set($,`PreTrainedModel`);var fM={MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES:Nj,MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES:Pj,MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES:jj,MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES:Mj,MODEL_FOR_MASKED_LM_MAPPING_NAMES:Rj,MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES:zj,MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES:Wj,MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES:qj,MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES:Jj,MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES:Yj,MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES:Gj,MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES:Kj,MODEL_FOR_MASK_GENERATION_MAPPING_NAMES:Xj,MODEL_FOR_CTC_MAPPING_NAMES:Zj,MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES:Qj,MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES:$j,MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES:eM,MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES:Uj,MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES:tM,MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES:rM,MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES:iM,MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES:aM,MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES:oM,MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES:sM,MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES:Vj,MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES:Hj,MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES:Fj,MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES:Aj,MODEL_FOR_CAUSAL_LM_MAPPING_NAMES:Ij,MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES:Bj};Lv(fM);var pM=class{static MODEL_CLASS_MAPPINGS=null;static BASE_IF_FAIL=!1;static supports(e){if(!this.MODEL_CLASS_MAPPINGS)return!1;for(let t of this.MODEL_CLASS_MAPPINGS)if(t.has(e))return!0;return this.BASE_IF_FAIL}static async from_pretrained(e,{progress_callback:t=null,config:n=null,cache_dir:r=null,local_files_only:i=!1,revision:a=`main`,model_file_name:o=null,subfolder:s=`onnx`,device:c=null,dtype:l=null,use_external_data_format:u=null,session_options:d={}}={}){let f={progress_callback:t,config:n,cache_dir:r,local_files_only:i,revision:a,model_file_name:o,subfolder:s,device:c,dtype:l,use_external_data_format:u,session_options:d};if(f.config=await B_.from_pretrained(e,f),!this.MODEL_CLASS_MAPPINGS)throw Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);let{model_type:p}=f.config;for(let t of this.MODEL_CLASS_MAPPINGS){let n=t.get(p);if(!n){for(let e of t.values())if(e[0]===p){n=e;break}if(!n)continue}return await fy[n].from_pretrained(e,f)}if(this.BASE_IF_FAIL)return dM.has(p)||B.warn(`Unknown model class "${p}", attempting to construct from base class.`),await $.from_pretrained(e,f);throw Error(`Unsupported model type: ${p}`)}},mM=class extends pM{static MODEL_CLASS_MAPPINGS=cM.map(e=>e[0]);static BASE_IF_FAIL=!0},hM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES]},gM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES]},_M=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES]},vM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES]},yM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES]},bM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES]},xM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES]},SM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_MASKED_LM_MAPPING_NAMES]},CM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES]},wM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES]},TM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES]},EM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES]},DM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES]},OM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES]},kM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES]},AM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES]};(class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_MASK_GENERATION_MAPPING_NAMES]});var jM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_CTC_MAPPING_NAMES]},MM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES]};(class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES]}),class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES]};var NM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES]};(class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES]});var PM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES]},FM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES]};(class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES]}),class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES]};var IM=class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES]};(class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES]}),class extends pM{static MODEL_CLASS_MAPPINGS=[fM.MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES]};async function LM(e){return Array.isArray(e)||(e=[e]),await Promise.all(e.map(e=>ih.read(e)))}async function RM(e,t){return Array.isArray(e)||(e=[e]),await Promise.all(e.map(e=>typeof e==`string`||e instanceof URL?cm(e,t):e instanceof Float64Array?new Float32Array(e):e))}function zM(e,t){t&&(e=e.map(e=>e|0));let[n,r,i,a]=e;return{xmin:n,ymin:r,xmax:i,ymax:a}}var BM=class extends uo{constructor({task:e,model:t,tokenizer:n=null,processor:r=null}){super(),this.task=e,this.model=t,this.tokenizer=n,this.processor=r}async dispose(){await this.model.dispose()}},VM=class extends BM{async _call(e,{top_k:t=1}={}){let n=this.tokenizer(e,{padding:!0,truncation:!0}),r=await this.model(n),{problem_type:i,id2label:a}=this.model.config,o=i===`multi_label_classification`?e=>e.sigmoid():e=>new J(`float32`,bd(e.data),e.dims),s=[];for(let e of r.logits){let n=await yf(o(e),t),r=n[0].tolist(),i=n[1].tolist().map((e,t)=>({label:a?a[e]:`LABEL_${e}`,score:r[t]}));t===1?s.push(...i):s.push(i)}return Array.isArray(e)||t===1?s:s[0]}},HM=class extends BM{async _call(e,{ignore_labels:t=[`O`],aggregation_strategy:n=`none`}={}){if(n!==`none`&&n!==`simple`)throw Error(`Invalid aggregation_strategy: "${n}". Must be one of "none" or "simple".`);let r=Array.isArray(e),i=this.tokenizer(r?e:[e],{padding:!0,truncation:!0}),a=(await this.model(i)).logits,o=this.model.config.id2label,s=[];for(let e=0;e<a.dims[0];++e){let r=i.input_ids[e].tolist(),c=a[e],l=[];for(let e=0;e<c.dims[0];++e){let n=c[e],i=Cd(n.data)[1],a=o?o[i]:`LABEL_${i}`;if(t.includes(a))continue;let s=this.tokenizer.decode([r[e]],{skip_special_tokens:!0});if(s===``)continue;let u=bd(n.data);l.push({entity:a,score:u[i],index:e,word:s})}s.push(n===`simple`?WM(l,r,this.tokenizer):l)}return r?s:s[0]}};function UM(e){let t=e[0];return e[1]===`-`&&(t===`B`||t===`I`||t===`E`||t===`S`)?[t,e.slice(2)]:[`I`,e]}function WM(e,t,n){let r=[],i=null;for(let t=0;t<e.length;++t){let[n,a]=UM(e[t].entity);i===a&&n!==`B`&&n!==`S`?(r[r.length-1].end=t+1,n===`E`&&(i=null)):(r.push({tag:a,start:t,end:t+1}),i=n===`S`?null:a)}return r.map(({tag:r,start:i,end:a})=>{let o=0,s=[];for(let n=i;n<a;++n)o+=e[n].score,s.push(t[e[n].index]);return{entity_group:r,score:o/(a-i),word:n.decode(s,{skip_special_tokens:!0})}})}var GM=class extends BM{async _call(e,t,{top_k:n=1}={}){let r=this.tokenizer(e,{text_pair:t,padding:!0,truncation:!0}),i=Array.isArray(e),{start_logits:a,end_logits:o}=await this.model(r),s=r.input_ids.tolist(),c=r.attention_mask.tolist(),{all_special_ids:l,sep_token_id:u}=this.tokenizer,d=[];for(let e=0;e<a.dims[0];++e){let t=s[e],r=t.findIndex(e=>e==u),i=a[e].tolist(),f=o[e].tolist();for(let n=1;n<i.length;++n)(c[e]==0||n<=r||l.findIndex(e=>e==t[n])!==-1)&&(i[n]=-1/0,f[n]=-1/0);let p=bd(i).map((e,t)=>[e,t]),m=bd(f).map((e,t)=>[e,t]);p[0][0]=0,m[0][0]=0;let h=vo(p,m).filter(e=>e[0][1]<=e[1][1]).map(e=>[e[0][1],e[1][1],e[0][0]*e[1][0]]).sort((e,t)=>t[2]-e[2]),g=[];for(let e=0;e<Math.min(h.length,n);++e){let[n,r,i]=h[e],a=t.slice(n,r+1),o=this.tokenizer.decode(a,{skip_special_tokens:!0});g.push({answer:o,score:i})}n===1?d.push(...g):d.push(g)}return i?d:d[0]}},KM=class extends BM{async _call(e,{top_k:t=5}={}){let{mask_token_id:n,mask_token:r}=this.tokenizer,i=this.tokenizer(e,{padding:!0,truncation:!0}),{logits:a}=await this.model(i),o=[],s=i.input_ids.tolist();for(let e=0;e<s.length;++e){let i=s[e],c=i.findIndex(e=>e==n);if(c===-1)throw Error(`Mask token (${r}) not found in text.`);let l=a[e][c],u=await yf(new J(`float32`,bd(l.data),l.dims),t),d=u[0].tolist(),f=u[1].tolist();o.push(f.map((e,t)=>{let n=i.slice();return n[c]=e,{score:d[t],token:Number(e),token_str:this.tokenizer.decode([e]),sequence:this.tokenizer.decode(n,{skip_special_tokens:!0})}}))}return Array.isArray(e)?o:o[0]}},qM=class extends BM{_default_generation_config={max_new_tokens:256};_key=`generated_text`;async _call(e,t={}){Array.isArray(e)||(e=[e]),this.model.config.prefix&&(e=e.map(e=>this.model.config.prefix+e));let n=this.model.config.task_specific_params;n&&n[this.task]&&n[this.task].prefix&&(e=e.map(e=>n[this.task].prefix+e));let r=this.tokenizer,i={padding:!0,truncation:!0},a;a=this.task===`translation`&&`_build_translation_inputs`in r?r._build_translation_inputs(e,i,t):r(e,i);let o=await this.model.generate({...a,...this._default_generation_config,...t});return r.batch_decode(o,{skip_special_tokens:!0}).map(e=>({[this._key]:e}))}},JM=class extends qM{_key=`summary_text`},YM=class extends qM{_key=`translation_text`};function XM(e){return Array.isArray(e)&&e.every(e=>`role`in e&&`content`in e)}var ZM=class extends BM{_default_generation_config={max_new_tokens:256};async _call(e,t={}){let{add_special_tokens:n,return_full_text:r,tools:i,documents:a,chat_template:o,tokenizer_encode_kwargs:s,...c}=t,l=!1,u=!1,d=n??(this.tokenizer.add_bos_token||this.tokenizer.add_eos_token)??!1,f=s,p;if(typeof e==`string`)p=e=[e];else if(Array.isArray(e)&&e.every(e=>typeof e==`string`))l=!0,p=e;else{if(XM(e))e=[e];else if(Array.isArray(e)&&e.every(XM))l=!0;else throw Error(`Input must be a string, an array of strings, a Chat, or an array of Chats`);u=!0;let t={tokenize:!1,add_generation_prompt:!0,...bo({tools:i,documents:a,chat_template:o},[`tools`,`documents`,`chat_template`]),...f};p=e.map(e=>this.tokenizer.apply_chat_template(e,t)),d=!1,f=void 0}let m=u?!1:r??!0;this.tokenizer.padding_side=`left`;let h=this.tokenizer(p,{add_special_tokens:d,padding:!0,truncation:!0,...f}),g=await this.model.generate({...h,...this._default_generation_config,...c}),_=this.tokenizer.batch_decode(g,{skip_special_tokens:!0}),v;!m&&h.input_ids.dims.at(-1)>0&&(v=this.tokenizer.batch_decode(h.input_ids,{skip_special_tokens:!0}).map(e=>e.length));let y=Array.from({length:e.length},e=>[]);for(let t=0;t<_.length;++t){let n=Math.floor(t/g.dims[0]*e.length);v&&(_[t]=_[t].slice(v[n])),y[n].push({generated_text:u?[...e[n],{role:`assistant`,content:_[t]}]:_[t]})}return!l&&y.length===1?y[0]:y}},QM=class extends BM{constructor(e){super(e),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([e,t])=>[e.toLowerCase(),t])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(B.warn(`Could not find 'entailment' in label2id mapping. Using 2 as entailment_id.`),this.entailment_id=2),this.contradiction_id=this.label2id.contradiction??this.label2id.not_entailment,this.contradiction_id===void 0&&(B.warn(`Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id.`),this.contradiction_id=0)}async _call(e,t,{hypothesis_template:n=`This example is {}.`,multi_label:r=!1}={}){let i=Array.isArray(e);i||(e=[e]),Array.isArray(t)||(t=[t]);let a=t.map(e=>n.replace(`{}`,e)),o=r||t.length===1,s=[];for(let n of e){let e=[];for(let t of a){let r=this.tokenizer(n,{text_pair:t,padding:!0,truncation:!0}),i=await this.model(r);o?e.push([i.logits.data[this.contradiction_id],i.logits.data[this.entailment_id]]):e.push(i.logits.data[this.entailment_id])}let r=(o?e.map(e=>bd(e)[1]):bd(e)).map((e,t)=>[e,t]).sort((e,t)=>t[0]-e[0]);s.push({sequence:n,labels:r.map(e=>t[e[1]]),scores:r.map(e=>e[0])})}return i?s:s[0]}},$M=class extends BM{async _call(e,{top_k:t=5}={}){let n=this.processor.feature_extractor.config.sampling_rate,r=await RM(e,n),i=this.model.config.id2label,a=[];for(let e of r){let n=await this.processor(e),r=(await this.model(n)).logits[0],o=await yf(new J(`float32`,bd(r.data),r.dims),t),s=o[0].tolist(),c=o[1].tolist().map((e,t)=>({label:i?i[e]:`LABEL_${e}`,score:s[t]}));a.push(c)}return Array.isArray(e)?a:a[0]}},eN=class extends BM{async _call(e,t,{hypothesis_template:n=`This is a sound of {}.`}={}){let r=!Array.isArray(e);r&&(e=[e]);let i=t.map(e=>n.replace(`{}`,e)),a=this.tokenizer(i,{padding:!0,truncation:!0}),o=this.processor.feature_extractor.config.sampling_rate,s=await RM(e,o),c=[];for(let e of s){let n=await this.processor(e),r=bd((await this.model({...a,...n})).logits_per_audio.data);c.push([...r].map((e,n)=>({score:e,label:t[n]})))}return r?c[0]:c}},tN=class extends BM{_default_generation_config={};async _call(e,t={}){switch(t={...this._default_generation_config,...t},this.model.config.model_type){case`whisper`:case`lite-whisper`:return this._call_whisper(e,t);case`wav2vec2`:case`wav2vec2-bert`:case`unispeech`:case`unispeech-sat`:case`hubert`:case`parakeet_ctc`:return this._call_wav2vec2(e,t);case`moonshine`:return this._call_moonshine(e,t);case`cohere_asr`:return this._call_cohere_asr(e,t);default:throw Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(e,t){t.language&&B.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),t.task&&B.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');let n=!Array.isArray(e),r=n?[e]:e,i=this.processor.feature_extractor.config.sampling_rate,a=await RM(r,i),o=[];for(let e of a){let t=await this.processor(e),n=(await this.model(t)).logits[0],r=[];for(let e of n)r.push(Cd(e.data)[1]);let i=this.tokenizer.decode(r,{skip_special_tokens:!0}).trim();o.push({text:i})}return n?o[0]:o}async _call_whisper(e,t){let n=t.return_timestamps??!1,r=t.chunk_length_s??0,i=t.force_full_sequences??!1,a=t.stride_length_s??null,o={...t};n===`word`&&(o.return_token_timestamps=!0,o.return_timestamps=!0);let s=!Array.isArray(e),c=s?[e]:e,l=this.processor.feature_extractor.config,u=l.chunk_length/this.model.config.max_source_positions,d=l.hop_length,f=l.sampling_rate,p=await RM(c,f),m=[];for(let e of p){let t=[];if(r>0){if(a===null)a=r/6;else if(r<=a)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");let n=f*r,i=f*a,o=n-2*i,s=0;for(;;){let r=s+n,a=e.subarray(s,r),c=await this.processor(a),l=s===0,u=r>=e.length;if(t.push({stride:[a.length,l?0:i,u?0:i],input_features:c.input_features,is_last:u}),u)break;s+=o}}else t=[{stride:[e.length,0,0],input_features:(await this.processor(e)).input_features,is_last:!0}];for(let e of t){o.num_frames=Math.floor(e.stride[0]/d);let t=await this.model.generate({inputs:e.input_features,...o});if(n===`word`){let n=t.sequences.tolist()[0],r=t.token_timestamps.tolist()[0],i=this.tokenizer.timestamp_begin,a=Math.max(n.findIndex(e=>Number(e)>=i),0);e.tokens=n.slice(a),e.token_timestamps=r.slice(a).map(e=>kd(e,2))}else e.tokens=t[0].tolist();e.stride=e.stride.map(e=>e/f)}let[s,c]=this.tokenizer._decode_asr(t,{time_precision:u,return_timestamps:n,force_full_sequences:i});m.push({text:s,...c})}return s?m[0]:m}async _call_moonshine(e,t){let n=!Array.isArray(e),r=n?[e]:e,i=this.processor.feature_extractor.config.sampling_rate,a=await RM(r,i),o=[];for(let e of a){let n=await this.processor(e),r=Math.floor(e.length/i)*6,a=await this.model.generate({max_new_tokens:r,...t,...n}),s=this.tokenizer.batch_decode(a,{skip_special_tokens:!0})[0];o.push({text:s})}return n?o[0]:o}async _call_cohere_asr(e,t){let n=!Array.isArray(e),r=n?[e]:e,i=this.processor.feature_extractor,a=i.config.sampling_rate,o=await RM(r,a),s=t.language??`en`,c=this.processor.get_decoder_prompt_ids(s),l=[];for(let e of o){let n=i.split_audio(e),r=[];for(let e of n){let n=await this.processor(e),i=await this.model.generate({...n,decoder_input_ids:c,...t}),a=this.tokenizer.decode(i[0].tolist(),{skip_special_tokens:!0}).trim();r.push(a)}let a=this.processor.constructor.join_chunks(r,s);l.push({text:a})}return n?l[0]:l}},nN=class extends BM{DEFAULT_VOCODER_ID=`Xenova/speecht5_hifigan`;constructor(e){super(e),this.vocoder=e.vocoder??null}async _prepare_speaker_embeddings(e,t){if((typeof e==`string`||e instanceof URL)&&(e=new Float32Array(await(await z.fetch(e)).arrayBuffer())),e instanceof Float32Array)e=new J(`float32`,e,[e.length]);else if(!(e instanceof J))throw Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");if(t>1){if(e.dims[0]===1)e=e.repeat(t,1);else if(e.dims[0]!==t)throw Error(`Expected speaker embeddings batch size to be 1 or ${t}, but got ${e.dims[0]}.`)}return e}_postprocess_waveform(e,t,n,r=null){let i=t.data,[a,o]=t.dims,s=r?r.data:null,c=[];for(let e=0;e<a;++e){let t=s?Math.min(Math.ceil(s[e]),o):o,r=e*o;c.push(new Dm(i.slice(r,r+t),n))}return Array.isArray(e)?c:c[0]}async _call(e,t){return this.processor?this._call_text_to_spectrogram(e,t):this.model.config.model_type===`supertonic`?this._call_supertonic(e,t):this._call_text_to_waveform(e)}async _call_supertonic(e,{speaker_embeddings:t,num_inference_steps:n,speed:r}){if(!t)throw Error(`Speaker embeddings must be provided for Supertonic models.`);let{sampling_rate:i,style_dim:a}=this.model.config,o=this.tokenizer(e,{padding:!0,truncation:!0}),s=o.input_ids.dims[0];t=await this._prepare_speaker_embeddings(t,s),t=t.view(s,-1,a);let{waveform:c,durations:l}=await this.model.generate_speech({...o,style:t,num_inference_steps:n,speed:r});return this._postprocess_waveform(e,c,i,l)}async _call_text_to_waveform(e){let t=this.tokenizer(e,{padding:!0,truncation:!0}),{waveform:n}=await this.model(t),r=this.model.config.sampling_rate;return this._postprocess_waveform(e,n,r)}async _call_text_to_spectrogram(e,{speaker_embeddings:t}){this.vocoder||=(B.info(`No vocoder specified, using default HifiGan vocoder.`),await mM.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:`fp32`}));let{input_ids:n}=this.tokenizer(e,{padding:!0,truncation:!0}),r=n.dims[0];t=await this._prepare_speaker_embeddings(t,r),t=t.view(r,-1);let{waveform:i}=await this.model.generate_speech(n,t,{vocoder:this.vocoder}),a=this.processor.feature_extractor.config.sampling_rate;return this._postprocess_waveform(e,i,a)}},rN=class extends BM{async _call(e,t={}){let n=Array.isArray(e),r=await LM(e),{pixel_values:i}=await this.processor(r),a=[];for(let e of i){e.dims=[1,...e.dims];let n=await this.model.generate({inputs:e,...t}),r=this.tokenizer.batch_decode(n,{skip_special_tokens:!0}).map(e=>({generated_text:e.trim()}));a.push(r)}return n?a:a[0]}},iN=class extends BM{async _call(e,{top_k:t=5}={}){let n=await LM(e),{pixel_values:r}=await this.processor(n),i=await this.model({pixel_values:r}),{id2label:a}=this.model.config,o=[];for(let e of i.logits){let n=await yf(new J(`float32`,bd(e.data),e.dims),t),r=n[0].tolist(),i=n[1].tolist().map((e,t)=>({label:a?a[e]:`LABEL_${e}`,score:r[t]}));o.push(i)}return Array.isArray(e)?o:o[0]}},aN={panoptic:`post_process_panoptic_segmentation`,instance:`post_process_instance_segmentation`,semantic:`post_process_semantic_segmentation`},oN=class extends BM{async _call(e,{threshold:t=.5,mask_threshold:n=.5,overlap_mask_area_threshold:r=.8,label_ids_to_fuse:i=null,target_sizes:a=null,subtask:o=null}={}){if(Array.isArray(e)&&e.length!==1)throw Error(`Image segmentation pipeline currently only supports a batch size of 1.`);let s=await LM(e),c=s.map(e=>[e.height,e.width]),l=await this.processor(s),{inputNames:u,outputNames:d}=this.model.sessions.model;if(!u.includes(`pixel_values`)){if(u.length!==1)throw Error(`Expected a single input name, but got ${u.length} inputs: ${u}.`);let e=u[0];if(e in l)throw Error(`Input name ${e} already exists in the inputs.`);l[e]=l.pixel_values}let f=await this.model(l),p=null;if(o!==null)p=aN[o];else if(this.processor.image_processor){for(let[e,t]of Object.entries(aN))if(t in this.processor.image_processor){p=this.processor.image_processor[t].bind(this.processor.image_processor),o=e;break}}let m=this.model.config.id2label,h=[];if(!o){let e=f[d[0]];for(let t=0;t<c.length;++t){let n=c[t],r=e[t];r.data.some(e=>e<-1e-5||e>1.00001)&&r.sigmoid_();let i=await ih.fromTensor(r.mul_(255).to(`uint8`)).resize(n[1],n[0]);h.push({label:null,score:null,mask:i})}}else if(o===`panoptic`||o===`instance`){let e=p(f,t,n,r,i,a??c)[0],o=e.segmentation;for(let t of e.segments_info){let e=new Uint8ClampedArray(o.data.length);for(let n=0;n<o.data.length;++n)o.data[n]===t.id&&(e[n]=255);let n=new ih(e,o.dims[1],o.dims[0],1);h.push({score:t.score,label:m[t.label_id],mask:n})}}else if(o===`semantic`){let{segmentation:e,labels:t}=p(f,a??c)[0];for(let n of t){let t=new Uint8ClampedArray(e.data.length);for(let r=0;r<e.data.length;++r)e.data[r]===n&&(t[r]=255);let r=new ih(t,e.dims[1],e.dims[0],1);h.push({score:null,label:m[n],mask:r})}}else throw Error(`Subtask ${o} not supported.`);return h}},sN=Object.freeze({"text-classification":{pipeline:VM,model:hM,default:{model:`Xenova/distilbert-base-uncased-finetuned-sst-2-english`},type:`text`},"token-classification":{pipeline:HM,model:gM,default:{model:`Xenova/bert-base-multilingual-cased-ner-hrl`},type:`text`},"question-answering":{pipeline:GM,model:CM,default:{model:`Xenova/distilbert-base-cased-distilled-squad`},type:`text`},"fill-mask":{pipeline:KM,model:SM,default:{model:`onnx-community/ettin-encoder-32m-ONNX`,dtype:`fp32`},type:`text`},summarization:{pipeline:JM,model:_M,default:{model:`Xenova/distilbart-cnn-6-6`},type:`text`},translation:{pipeline:YM,model:_M,default:{model:`Xenova/t5-small`},type:`text`},"text2text-generation":{pipeline:qM,model:_M,default:{model:`Xenova/flan-t5-small`},type:`text`},"text-generation":{pipeline:ZM,model:xM,default:{model:`onnx-community/Qwen3-0.6B-ONNX`,dtype:`q4`},type:`text`},"zero-shot-classification":{pipeline:QM,model:hM,default:{model:`Xenova/distilbert-base-uncased-mnli`},type:`text`},"audio-classification":{pipeline:$M,model:MM,default:{model:`Xenova/wav2vec2-base-superb-ks`},type:`audio`},"zero-shot-audio-classification":{pipeline:eN,model:mM,default:{model:`Xenova/clap-htsat-unfused`},type:`multimodal`},"automatic-speech-recognition":{pipeline:tN,model:[vM,jM],default:{model:`Xenova/whisper-tiny.en`},type:`multimodal`},"text-to-audio":{pipeline:nN,model:[bM,yM],default:{model:`onnx-community/Supertonic-TTS-ONNX`,dtype:`fp32`},type:`text`},"image-to-text":{pipeline:rN,model:wM,default:{model:`Xenova/vit-gpt2-image-captioning`},type:`multimodal`},"image-classification":{pipeline:iN,model:TM,default:{model:`Xenova/vit-base-patch16-224`},type:`multimodal`},"image-segmentation":{pipeline:oN,model:[EM,DM,OM],default:{model:`Xenova/detr-resnet-50-panoptic`},type:`multimodal`},"background-removal":{pipeline:class extends oN{async _call(e,t={}){let n=await LM(e),r=await super._call(e,t),i=n.map((e,t)=>{let n=e.clone();return n.putAlpha(r[t].mask),n});return Array.isArray(e)?i:i[0]}},model:[EM,DM,OM],default:{model:`Xenova/modnet`},type:`image`},"zero-shot-image-classification":{pipeline:class extends BM{async _call(e,t,{hypothesis_template:n=`This is a photo of {}`}={}){let r=Array.isArray(e),i=await LM(e),a=t.map(e=>n.replace(`{}`,e)),o=this.tokenizer(a,{padding:this.model.config.model_type!==`siglip`||`max_length`,truncation:!0}),{pixel_values:s}=await this.processor(i),c=await this.model({...o,pixel_values:s}),l=this.model.config.model_type===`siglip`?e=>e.sigmoid().data:e=>bd(e.data),u=[];for(let e of c.logits_per_image){let n=[...l(e)].map((e,n)=>({score:e,label:t[n]}));n.sort((e,t)=>t.score-e.score),u.push(n)}return r?u:u[0]}},model:mM,default:{model:`Xenova/clip-vit-base-patch32`},type:`multimodal`},"object-detection":{pipeline:class extends BM{async _call(e,{threshold:t=.9,percentage:n=!1}={}){let r=Array.isArray(e);if(r&&e.length!==1)throw Error(`Object detection pipeline currently only supports a batch size of 1.`);let i=await LM(e),a=n?null:i.map(e=>[e.height,e.width]),{pixel_values:o,pixel_mask:s}=await this.processor(i),c=await this.model({pixel_values:o,pixel_mask:s}),l=this.processor.image_processor.post_process_object_detection(c,t,a),{id2label:u}=this.model.config,d=l.map(e=>e.boxes.map((t,r)=>({score:e.scores[r],label:u[e.classes[r]],box:zM(t,!n)})));return r?d:d[0]}},model:kM,default:{model:`Xenova/detr-resnet-50`},type:`multimodal`},"zero-shot-object-detection":{pipeline:class extends BM{async _call(e,t,{threshold:n=.1,top_k:r=null,percentage:i=!1}={}){let a=Array.isArray(e),o=await LM(e),s=this.tokenizer(t,{padding:!0,truncation:!0}),c=await this.processor(o),l=[];for(let e=0;e<o.length;++e){let a=o[e],u=i?null:[[a.height,a.width]],d=c.pixel_values[e].unsqueeze_(0),f=await this.model({...s,pixel_values:d}),p;if(`post_process_grounded_object_detection`in this.processor){let e=this.processor.post_process_grounded_object_detection(f,s.input_ids,{box_threshold:n,text_threshold:n,target_sizes:u})[0];p=e.boxes.map((t,n)=>({score:e.scores[n],label:e.labels[n],box:zM(t,!i)}))}else{let e=this.processor.image_processor.post_process_object_detection(f,n,u,!0)[0];p=e.boxes.map((n,r)=>({score:e.scores[r],label:t[e.classes[r]],box:zM(n,!i)}))}p.sort((e,t)=>t.score-e.score),r!==null&&(p=p.slice(0,r)),l.push(p)}return a?l:l[0]}},model:AM,default:{model:`Xenova/owlvit-base-patch32`},type:`multimodal`},"document-question-answering":{pipeline:class extends BM{_default_generation_config={max_new_tokens:256};async _call(e,t,n={}){if(Array.isArray(e)){if(e.length!==1)throw Error(`Document Question Answering pipeline currently only supports a batch size of 1.`);e=e[0]}let r=(await LM(e))[0],{pixel_values:i}=await this.processor(r),a=`<s_docvqa><s_question>${t}</s_question><s_answer>`,o=this.tokenizer(a,{add_special_tokens:!1,padding:!0,truncation:!0}).input_ids,s=await this.model.generate({inputs:i,max_length:this.model.config.decoder.max_position_embeddings,decoder_input_ids:o,...this._default_generation_config,...n}),c=this.tokenizer.batch_decode(s)[0].match(/<s_answer>(.*?)<\/s_answer>/),l=null;return c&&c.length>=2&&(l=c[1].trim()),[{answer:l}]}},model:NM,default:{model:`Xenova/donut-base-finetuned-docvqa`},type:`multimodal`},"image-to-image":{pipeline:class extends BM{async _call(e){let t=await LM(e),n=await this.processor(t),r=await this.model(n),i=[];for(let e of r.reconstruction){let t=e.squeeze().clamp_(0,1).mul_(255).round_().to(`uint8`);i.push(ih.fromTensor(t))}return Array.isArray(e)?i:i[0]}},model:PM,default:{model:`Xenova/swin2SR-classical-sr-x2-64`},type:`image`},"depth-estimation":{pipeline:class extends BM{async _call(e){let t=await LM(e),n=await this.processor(t),{predicted_depth:r}=await this.model(n),i=[];for(let e=0;e<t.length;++e){let n=r[e],[a,o]=n.dims.slice(-2),[s,c]=t[e].size,l=(await _f(n.view(1,1,a,o),{size:[c,s],mode:`bilinear`})).view(c,s),u=l.min().item(),d=l.max().item(),f=l.sub(u).div_(d-u).mul_(255).to(`uint8`).unsqueeze(0),p=ih.fromTensor(f);i.push({predicted_depth:l,depth:p})}return Array.isArray(e)?i:i[0]}},model:FM,default:{model:`onnx-community/depth-anything-v2-small`},type:`image`},"feature-extraction":{pipeline:class extends BM{async _call(e,{pooling:t=`none`,normalize:n=!1,quantize:r=!1,precision:i=`binary`}={}){let a=this.tokenizer(e,{padding:!0,truncation:!0}),o=await this.model(a),s=o.last_hidden_state??o.logits??o.token_embeddings;switch(t){case`none`:break;case`mean`:s=Sf(s,a.attention_mask);break;case`first_token`:case`cls`:s=s.slice(null,0);break;case`last_token`:case`eos`:s=s.slice(null,-1);break;default:throw Error(`Pooling method '${t}' not supported.`)}return 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dtype "${a}" is not available.`);return{device:i,dtype:a}}var mP=class e{constructor(e){this.queue=Promise.resolve(),this.disposed=!1,this.model=e.model,this.tokenizer=e.tokenizer,this.family=e.family,this.runtime=e.runtime,this.defaults=e.defaults,this.maxLength=e.maxLength}static async load(t={}){let n=$N(t.model),{config:r,family:i}=await eP(n,e=>B_.from_pretrained(e)),a=await pP(t,i),o=t.onProgress,s=-1,c=e=>{if(!o||e.status!==`progress_total`)return;let t=Math.round(AN(e.progress/100,0,1)*100)/100;t!==s&&(s=t,o({progress:t,loaded:e.loaded,total:e.total}))},l=await Yp.from_pretrained(n);i.prepare(l);let u=await i.loadModel(n,{config:r,dtype:a.dtype,device:a.device,progress_callback:c}),d={temperature:t.temperature??i.defaults.temperature,maxStateTokens:t.maxStateTokens??i.defaults.maxStateTokens,truncation:t.truncation??`cut`};return new e({model:u,tokenizer:l,family:i,runtime:{model:n,family:i.name,...a},defaults:d,maxLength:Math.max(8,Math.floor(t.maxLength??i.defaults.maxLength))})}static async info(e={}){let t=$N(e.model),{config:n,family:r}=await eP(t,e=>B_.from_pretrained(e)),i=await pP(e,r),a=r.files?r.files(i.dtype):await CN.get_files(t,{config:n,dtype:i.dtype,device:i.device,include_tokenizer:!0,include_processor:!1}),o=await Promise.all(a.map(e=>CN.get_file_metadata(t,e))),s=r.files?o.every(e=>e.fromCache===!0):await CN.is_cached(t,{config:n,dtype:i.dtype,device:i.device}),c=o.reduce((e,t)=>e+(t.size??0),0);return{model:t,family:r.name,...i,isCached:s,downloadSize:c,files:a}}async decide(e,t,n={}){if(this.assertNotDisposed(),typeof e!=`string`)throw Error(`OpenJev.decide() expects the state to be a string.`);let r=Array.isArray(t),i=r?t.map((e,t)=>String(t)):Object.keys(t),a=r?[...t]:Object.values(t);if(a.length===0)throw Error(`OpenJev.decide() needs at least one question.`);a.forEach((e,t)=>kN(e,r?`#${t}`:`"${i[t]}"`,this.family.limits));let o={temperature:Math.max(1e-6,n.temperature??this.defaults.temperature),maxStateTokens:Math.max(0,Math.floor(n.maxStateTokens??this.defaults.maxStateTokens)),truncation:n.truncation??this.defaults.truncation},s=await this.enqueue(()=>this.run(e,a,o));if(r)return s;let c={};return i.forEach((e,t)=>{c[e]=s[t]}),c}countTokens(e){return this.assertNotDisposed(),this.family.countTokens?this.family.countTokens(e):this.family.tokenize?this.family.tokenize({state:e,questions:[],encode:e=>this.encode(e)}).state.length:this.encode(e).length}async dispose(){if(!this.disposed){this.disposed=!0;try{await this.queue}catch{}await this.model.dispose?.()}}async run(e,t,n){try{if(this.family.decide){let r=await this.family.decide({model:this.model,state:e,questions:t,maxStateTokens:n.maxStateTokens,maxLength:this.maxLength});if(r.stateTruncated&&n.truncation===`error`)throw Error(`State was cut to ${r.stateTokens} tokens (limit ${n.maxStateTokens}, ${this.maxLength} in total). 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A question is correct when the model's top answer matches the annotators' label. Every state is one`,` `,(0,j.jsx)(`code`,{className:`font-mono`,children:`decide()`}),` call with its 5 questions.`]})]}),(0,j.jsxs)(bt,{padding:`lg`,className:`flex flex-col gap-5 overflow-x-auto`,children:[(0,j.jsxs)(`div`,{className:`flex flex-wrap items-center justify-between gap-3`,children:[(0,j.jsx)(`h3`,{className:`text-lg font-semibold`,children:`Results`}),(0,j.jsx)(gt,{tone:`outline`,size:`sm`,className:`font-mono`,children:Ft})]}),(0,j.jsxs)(`table`,{className:`w-full min-w-[640px] text-left text-sm`,children:[(0,j.jsx)(`thead`,{className:`text-xs text-stone uppercase`,children:(0,j.jsxs)(`tr`,{children:[(0,j.jsx)(`th`,{className:`py-2 pr-4 font-medium`,children:`Model`}),(0,j.jsx)(`th`,{className:`py-2 pr-4 font-medium`,children:`dtype`}),(0,j.jsx)(`th`,{className:`py-2 pr-4 text-right font-medium`,children:`choice`}),(0,j.jsx)(`th`,{className:`py-2 pr-4 text-right font-medium`,children:`score`}),(0,j.jsx)(`th`,{className:`py-2 pr-4 text-right font-medium`,children:`noul`}),(0,j.jsx)(`th`,{className:`py-2 pr-4 text-right font-medium`,children:`overall`}),(0,j.jsx)(`th`,{className:`py-2 text-right font-medium`,children:`median / state`})]})}),(0,j.jsxs)(`tbody`,{className:`font-mono`,children:[Pt.map(e=>(0,j.jsxs)(`tr`,{className:A(`border-t border-cream`,{"bg-lime/30":e.alias===u}),children:[(0,j.jsx)(`td`,{className:`py-2 pr-4 font-sans font-semibold`,children:CP(e.alias)}),(0,j.jsx)(`td`,{className:`py-2 pr-4`,children:e.dtype}),(0,j.jsx)(`td`,{className:`py-2 pr-4 text-right`,children:bP(e.choice)}),(0,j.jsx)(`td`,{className:`py-2 pr-4 text-right`,children:bP(e.score)}),(0,j.jsx)(`td`,{className:`py-2 pr-4 text-right`,children:bP(e.noul)}),(0,j.jsx)(`td`,{className:`py-2 pr-4 text-right font-bold`,children:bP(xP(e))}),(0,j.jsxs)(`td`,{className:`py-2 text-right`,children:[Math.round(e.medianMs),` ms`]})]},e.alias)),a&&a.done>0&&(0,j.jsxs)(`tr`,{className:`border-t-2 border-ink`,children:[(0,j.jsxs)(`td`,{className:`py-2 pr-4 font-sans font-semibold`,children:[`Your run · `,CP(u??``),` `,r===`running`&&`(${a.done}/${a.total})`]}),(0,j.jsx)(`td`,{className:`py-2 pr-4`,children:e?.runtime.dtype}),(0,j.jsx)(`td`,{className:`py-2 pr-4 text-right`,children:bP(a.choice)}),(0,j.jsx)(`td`,{className:`py-2 pr-4 text-right`,children:bP(a.score)}),(0,j.jsx)(`td`,{className:`py-2 pr-4 text-right`,children:bP(a.noul)}),(0,j.jsx)(`td`,{className:`py-2 pr-4 text-right font-bold`,children:bP(xP(a))}),(0,j.jsxs)(`td`,{className:`py-2 text-right`,children:[Math.round(SP(a.times)),` ms`]})]})]})]}),(0,j.jsxs)(`table`,{className:`w-full min-w-[640px] text-left text-sm`,children:[(0,j.jsx)(`thead`,{className:`text-xs text-stone uppercase`,children:(0,j.jsxs)(`tr`,{children:[(0,j.jsx)(`th`,{className:`py-2 pr-4 font-medium`,children:`Overall by workflow`}),Object.values(yP).map(e=>(0,j.jsx)(`th`,{className:`py-2 pr-4 text-right font-medium`,children:e},e))]})}),(0,j.jsx)(`tbody`,{className:`font-mono`,children:Pt.map(e=>(0,j.jsxs)(`tr`,{className:`border-t border-cream`,children:[(0,j.jsx)(`td`,{className:`py-2 pr-4 font-sans font-semibold`,children:CP(e.alias)}),Object.keys(yP).map(t=>(0,j.jsx)(`td`,{className:`py-2 pr-4 text-right`,children:bP(e.workflows[t]??[0,0])},t))]},e.alias))})]})]}),(0,j.jsxs)(bt,{variant:`dark`,padding:`lg`,className:`flex flex-col gap-4`,children:[(0,j.jsx)(`h3`,{className:`text-lg font-semibold`,children:`Run it on your GPU`}),e?(0,j.jsxs)(j.Fragment,{children:[(0,j.jsxs)(`p`,{className:`text-sm text-white/70`,children:[`Runs all 400 states with the loaded model (`,CP(u??e.runtime.model),` · `,e.runtime.device,` `,`· `,e.runtime.dtype,`). It takes from under a minute to about ten, depending on the model and your GPU.`]}),a&&(0,j.jsx)(kt,{value:a.total?a.done/a.total:0,tone:`lime`}),(0,j.jsx)(`div`,{children:(0,j.jsx)(vt,{variant:r===`done`?`accent`:`primary`,icon:r===`done`?(0,j.jsx)(Ke,{size:18}):(0,j.jsx)(We,{size:18}),disabled:f,onClick:d,children:f?`Running ${a?.done??0} / ${a?.total??400}`:r===`done`?`Run again`:`Run benchmark`})}),s&&(0,j.jsxs)(`p`,{className:`text-sm text-rose`,children:[`Benchmark failed: `,s]})]}):(0,j.jsxs)(j.Fragment,{children:[(0,j.jsx)(`p`,{className:`text-sm text-white/70`,children:`Load a model first, then come back here to benchmark it on this device.`}),(0,j.jsx)(`div`,{children:(0,j.jsx)(vt,{variant:`accent`,icon:(0,j.jsx)(Se,{size:18}),onClick:t,children:`Choose a model`})})]})]}),(0,j.jsxs)(bt,{variant:`cream`,padding:`md`,className:`flex flex-col gap-2 text-sm text-stone`,children:[(0,j.jsx)(`h3`,{className:`text-base font-semibold text-ink`,children:`Read the numbers with care`}),(0,j.jsxs)(`ul`,{className:`list-disc space-y-1 pl-5`,children:[(0,j.jsx)(`li`,{children:`This is Julia 1's own evaluation set, from the workflows it was built for. The other models were trained on different domains (open-jev: banking, reviews, Wikipedia yes/no; Kev: ten others; GLiNER2.5-Decide: 17 operational domains). On the demo's short messages the ranking looks different, so measure on your own questions.`}),(0,j.jsx)(`li`,{children:`The noul questions come with a description of each outcome. Only Julia 1 reads them; without them its noul score is 65.2%. The other models answer with fixed no/yes options.`}),(0,j.jsx)(`li`,{children:`States are JSON documents, median about 255 tokens. open-jev reads the first 256 state tokens and GLiNER2.5-Decide 384, so long states are cut for them.`}),(0,j.jsx)(`li`,{children:`Each model ran at its automatic dtype, once. Julia 1's row reproduces its model card's CPU numbers exactly (426/600, 542/800, 483/600).`})]})]})]})}function TP(e,t){let n=e[t];if(n?.type!==`choice`)throw Error(`${t} is not a choice`);return n}function EP(e,t){let n=e[t];if(n?.type!==`score`)throw Error(`${t} is not a score`);return n}function DP(e,t){let n=e[t];if(n?.type!==`noul`)throw Error(`${t} is not a noul`);return n}function OP(e){return e.type===`choice`?e.choice:e.type===`score`?e.level:e.answer?`Yes`:`No`}function kP(e){return e.type===`noul`?e.probability:e.confidence}var AP={approve:`mint`,"needs review":`lavender`,remove:`rose`},jP={id:`comment-moderation`,title:`Comment moderation`,tag:`Community`,tone:`periwinkle`,icon:Be,description:`Approve, flag or remove user comments and tag each one with a calibrated sentiment level.`,stateLabel:`Comment`,questions:{action:TN(`What should a moderator do with this comment?`,[`approve`,`needs review`,`remove`],{approve:`civil and on topic`,"needs review":`borderline, a human should look at it`,remove:`harassment, hate, threats or spam`}),sentiment:EN(`How positive is the sentiment of this comment?`,[`very negative`,`negative`,`neutral`,`positive`,`very positive`]),toxic:DN(`Is this comment abusive?`,{false:`The comment is civil, even if it disagrees.`,true:`The comment insults, harasses or threatens someone.`}),spam:DN(`The comment promotes a product, offer or link.`,{false:`The comment is a genuine reaction with nothing to sell.`,true:`The comment advertises a product, an offer or a link.`})},labels:{action:`Action`,sentiment:`Sentiment`,toxic:`Toxic`,spam:`Spam`},items:[{id:`c1`,label:`@maya_reads`,meta:`on "Our 2026 roadmap"`,text:`Honestly this is the best update you have shipped in years. The offline mode alone saves me hours every week. Thank you for actually listening to feedback!`},{id:`c2`,label:`@grumpy_dev`,meta:`on "Our 2026 roadmap"`,text:`Another roadmap, another year of the same bugs. I have reported the sync issue four times. Not angry, just tired. Please fix the basics before adding AI features.`},{id:`c3`,label:`@kingsley99`,meta:`on "Community guidelines"`,text:`Whoever wrote this is a clueless idiot. Get a real job, nobody asked for your worthless opinion. People like you ruin every forum.`},{id:`c4`,label:`@dealsdaily`,meta:`on "Community guidelines"`,text:`Make $500 a day from home!!! Limited spots, click the link in my profile now and use code FAST50 for a bonus. Don't miss out!!!`},{id:`c5`,label:`@renata.v`,meta:`on "Pricing changes"`,text:`I get that prices go up, but a 40% jump with two weeks notice is rough for small teams. Would a grandfathered plan be possible? Otherwise we'll probably have to look elsewhere.`}],summarize:e=>{let t=TP(e,`action`),n=EP(e,`sentiment`),r=DP(e,`toxic`);return{headline:t.choice,tone:AP[t.choice]??`periwinkle`,detail:r.answer?`Toxic`:n.level}},code:`import { OpenJev, choice, noul, score } from "open-jev";
+
+const jev = await OpenJev.load({ model: "kev-0.6b" });
+
+const [action, sentiment, toxic, spam] = await jev.decide(comment, [
+  choice(
+    "What should a moderator do with this comment?",
+    ["approve", "needs review", "remove"],
+    {
+      approve: "civil and on topic",
+      "needs review": "borderline, a human should look at it",
+      remove: "harassment, hate, threats or spam",
+    }
+  ),
+  score("How positive is the sentiment of this comment?", [
+    "very negative",
+    "negative",
+    "neutral",
+    "positive",
+    "very positive",
+  ]),
+  noul("Is this comment abusive?", { false: "The comment is civil, even if it disagrees.", true: "The comment insults, harasses or threatens someone." }),
+  noul("The comment promotes a product, offer or link.", { false: "The comment is a genuine reaction with nothing to sell.", true: "The comment advertises a product, an offer or a link." }),
+]);
+
+action.choice; // "approve" | "needs review" | "remove"
+action.probabilities; // { approve: 0.03, "needs review": 0.11, remove: 0.86 }
+sentiment.normalized; // 0..1 across the five levels
+toxic.answer && spam.answer; // both plain booleans`},MP={low:`mint`,medium:`periwinkle`,high:`lavender`,urgent:`rose`},NP={id:`email-triage`,title:`Email triage`,tag:`Inbox`,tone:`lime`,icon:Re,description:`Sort an inbox by category and priority, and spot which mails actually need a human reply.`,stateLabel:`Email`,questions:{category:TN(`What is this email about?`,[`billing`,`technical issue`,`sales inquiry`,`partnership`,`newsletter or spam`]),priority:EN(`How urgent is this email?`,[`low`,`medium`,`high`,`urgent`]),needsReply:DN(`The sender expects a personal reply.`,{false:`No personal answer is needed.`,true:`The sender is waiting for a personal answer.`}),isAutomated:DN(`This email was sent by an automated system.`,{false:`A person wrote this email.`,true:`A system, service or mailing list sent this email.`})},labels:{category:`Category`,priority:`Priority`,needsReply:`Needs reply`,isAutomated:`Automated`},items:[{id:`e1`,label:`Payment failed twice`,meta:`from dana@brightloop.io`,text:`Hi, our card was declined twice this morning even though it works everywhere else. We have a client demo at 2pm and the workspace is now locked. Can someone unlock it right away? Happy to pay by invoice if that is faster.`},{id:`e2`,label:`Your weekly digest is here`,meta:`from noreply@stackfeed.app`,text:`Here is what happened in your workspaces this week: 14 new comments, 3 completed projects and 2 new members. You are receiving this because you subscribed to weekly digests. Unsubscribe at any time from your notification settings.`},{id:`e3`,label:`Pricing for 40 seats`,meta:`from m.okafor@northwind.co`,text:`Hello, we are evaluating tools for our support team of about 40 people. Could you send over pricing for the business plan and let me know if you offer annual discounts? We would like to decide by the end of the quarter.`},{id:`e4`,label:`Export button does nothing`,meta:`from tom@wildoak.studio`,text:`Since yesterday's update the CSV export button just spins and never downloads anything. Tried Chrome and Firefox, cleared cache. Not blocking us today but we need the exports for month-end reporting next week.`},{id:`e5`,label:`Guest post opportunity`,meta:`from outreach@linkgrowth.biz`,text:`Hi there! I came across your blog and loved it. I would like to contribute a high-quality guest post with a do-follow link to our client. We can also offer a bulk deal for 10 articles. Let me know your rates!`}],summarize:e=>{let t=TP(e,`category`),n=EP(e,`priority`),r=DP(e,`needsReply`);return{headline:`${n.level} · ${t.choice}`,tone:MP[n.level]??`periwinkle`,detail:r.answer?`Reply needed`:`No reply needed`}},code:`import { OpenJev, choice, noul, score } from "open-jev";
+
+const jev = await OpenJev.load({ model: "kev-0.6b" });
+
+const triage = await jev.decide(email.body, {
+  category: choice("What is this email about?", [
+    "billing",
+    "technical issue",
+    "sales inquiry",
+    "partnership",
+    "newsletter or spam",
+  ]),
+  priority: score("How urgent is this email?", [
+    "low",
+    "medium",
+    "high",
+    "urgent",
+  ]),
+  needsReply: noul("The sender expects a personal reply.", { false: "No personal answer is needed.", true: "The sender is waiting for a personal answer." }),
+  isAutomated: noul("This email was sent by an automated system.", { false: "A person wrote this email.", true: "A system, service or mailing list sent this email." }),
+});
+
+triage.category.choice; // "billing" | "technical issue" | ...
+triage.priority.level; // "low" | "medium" | "high" | "urgent"
+triage.priority.score; // 0..3, may fall between levels
+triage.needsReply.answer; // boolean
+triage.isAutomated.probability; // p(yes), 0..1`};function PP(e,t,n,r){return Math.round(100*(.45*e+.25*t+.2*n+.1*r))}var FP={individual:.1,"small business":.4,"mid-market":.7,enterprise:1};function IP(e){return e>=70?`lime`:e>=40?`periwinkle`:`rose`}var LP={id:`lead-scoring`,title:`Lead scoring`,tag:`Sales`,tone:`lavender`,icon:Xe,description:`Turn inbound messages into a 0 to 100 lead score from intent, budget, authority and company size.`,stateLabel:`Inbound message`,questions:{intent:EN(`How close is this person to buying?`,[`just browsing`,`curious`,`evaluating options`,`ready to buy`]),company:TN(`What kind of organisation is the sender from?`,[`individual`,`small business`,`mid-market`,`enterprise`]),budget:DN(`The sender mentions a budget or a willingness to pay.`,{false:`Nothing about budget, price or paying.`,true:`The sender mentions a budget, pricing or being ready to pay.`}),decisionMaker:DN(`The sender can make the purchasing decision.`,{false:`Someone else decides on the purchase.`,true:`The sender can approve the purchase.`})},labels:{intent:`Buying intent`,company:`Company size`,budget:`Has budget`,decisionMaker:`Decision maker`},items:[{id:`l1`,label:`Priya S.`,meta:`VP Operations, contact form`,text:`We are a logistics company with around 1,200 employees and I lead the operations group. We have budget approved for a rollout in Q1 and are comparing three vendors. Can we schedule a technical call this week? I make the final call on this purchase.`},{id:`l2`,label:`jordan.k`,meta:`Free plan, in-app chat`,text:`hey just poking around, is there a student discount? I'm working on a side project for a class and might use this if it's cheap or free.`},{id:`l3`,label:`Luis M.`,meta:`Founder, contact form`,text:`I run a small design studio (six people). We've outgrown spreadsheets and your tool looks like a good fit. Not in a rush, but if the team plan is under $200 a month I'd probably sign up next month after our current projects wrap.`},{id:`l4`,label:`Aiko T.`,meta:`Engineer, contact form`,text:`I'm an engineer at a large bank and I tried your API in a hackathon last week. I like it a lot, but procurement here is a long process and I'd need to convince my director first. Do you have security documentation I could forward?`},{id:`l5`,label:`Nate B.`,meta:`Newsletter reply`,text:`Interesting article on decision models. Curious how this compares to fine-tuning a small classifier ourselves. Not looking to buy anything, just interested in the approach.`}],summarize:e=>{let t=EP(e,`intent`),n=TP(e,`company`),r=DP(e,`budget`),i=DP(e,`decisionMaker`),a=PP(t.normalized,r.probability,i.probability,FP[n.choice]??0);return{headline:`${a} / 100`,tone:IP(a),detail:t.level}},code:`import { OpenJev, choice, noul, score } from "open-jev";
+
+const jev = await OpenJev.load({ model: "kev-0.6b" });
+
+const lead = await jev.decide(message, {
+  intent: score("How close is this person to buying?", [
+    "just browsing",
+    "curious",
+    "evaluating options",
+    "ready to buy",
+  ]),
+  company: choice("What kind of organisation is the sender from?", [
+    "individual",
+    "small business",
+    "mid-market",
+    "enterprise",
+  ]),
+  budget: noul("The sender mentions a budget or a willingness to pay.", { false: "Nothing about budget, price or paying.", true: "The sender mentions a budget, pricing or being ready to pay." }),
+  decisionMaker: noul("The sender can make the purchasing decision.", { false: "Someone else decides on the purchase.", true: "The sender can approve the purchase." }),
+});
+
+// Probabilities are calibrated, so they can be combined into a score.
+const companyWeight = {
+  individual: 0.1,
+  "small business": 0.4,
+  "mid-market": 0.7,
+  enterprise: 1,
+}[lead.company.choice];
+
+const leadScore = Math.round(
+  100 *
+    (0.45 * lead.intent.normalized +
+      0.25 * lead.budget.probability +
+      0.2 * lead.decisionMaker.probability +
+      0.1 * companyWeight)
+);`},RP={low:`mint`,medium:`periwinkle`,high:`lavender`,critical:`rose`},zP=[NP,jP,LP,{id:`ticket-routing`,title:`Support ticket routing`,tag:`Support`,tone:`mint`,icon:Qe,description:`Send each ticket to the right team with an urgency level and an early warning for churn risk.`,stateLabel:`Ticket`,questions:{team:TN(`Which team should handle this ticket?`,[`billing`,`technical support`,`account & security`,`shipping`,`sales`],{billing:`charges, invoices, refunds and payment problems`,"technical support":`bugs, errors, integrations and outages`,"account & security":`logins, passwords, 2FA and suspicious activity`,shipping:`deliveries, tracking, damaged or missing parcels`,sales:`plans, upgrades, quotes and pre-sales questions`}),urgency:EN(`How urgent is this ticket?`,[`low`,`medium`,`high`,`critical`]),churnRisk:DN(`The customer threatens to cancel or switch to a competitor.`,{false:`The customer wants help and shows no sign of leaving.`,true:`The customer says they may cancel or move to a competitor.`}),resolved:DN(`The customer says the problem is already solved.`,{false:`The customer still has the problem.`,true:`The customer says the problem is fixed and nothing is left to do.`})},labels:{team:`Team`,urgency:`Urgency`,churnRisk:`Churn risk`,resolved:`Already solved`},items:[{id:`t1`,label:`#4821`,meta:`Pro plan · 2 min ago`,text:`I was charged twice for the same order and nobody answers my emails. This is the third time this year. If this is not refunded by tomorrow I am cancelling and moving to your competitor.`},{id:`t2`,label:`#4822`,meta:`Free plan · 9 min ago`,text:`Someone logged into my account from a country I have never been to and changed the recovery email. I cannot get back in. Please help, I have customer data in there.`},{id:`t3`,label:`#4823`,meta:`Business plan · 21 min ago`,text:`The webhook for order.created started returning 502 errors around 09:40 UTC. Our retries are piling up but nothing is lost yet. Is there a known incident?`},{id:`t4`,label:`#4824`,meta:`Starter plan · 1 h ago`,text:`My parcel shows as delivered since Monday but it never arrived. The neighbours don't have it either. Order number 88213. Could you check with the carrier?`},{id:`t5`,label:`#4825`,meta:`Starter plan · 3 h ago`,text:`Never mind my earlier message, the invoice PDF opened fine after I updated my browser. Sorry for the noise. While I have you: does the Business plan include SSO?`}],summarize:e=>{let t=TP(e,`team`),n=EP(e,`urgency`),r=DP(e,`churnRisk`),i=DP(e,`resolved`);return{headline:t.choice,tone:RP[n.level]??`periwinkle`,detail:i.answer?`Already solved`:r.answer?`${n.level} · churn risk`:n.level}},code:`import { OpenJev, choice, noul, score } from "open-jev";
+
+const jev = await OpenJev.load({ model: "kev-0.6b" });
+
+const ticket = await jev.decide(message, {
+  team: choice(
+    "Which team should handle this ticket?",
+    ["billing", "technical support", "account & security", "shipping", "sales"],
+    {
+      billing: "charges, invoices, refunds and payment problems",
+      "technical support": "bugs, errors, integrations and outages",
+      "account & security": "logins, passwords, 2FA and suspicious activity",
+      shipping: "deliveries, tracking, damaged or missing parcels",
+      sales: "plans, upgrades, quotes and pre-sales questions",
+    }
+  ),
+  urgency: score("How urgent is this ticket?", [
+    "low",
+    "medium",
+    "high",
+    "critical",
+  ]),
+  churnRisk: noul("The customer threatens to cancel or switch to a competitor.", { false: "The customer wants help and shows no sign of leaving.", true: "The customer says they may cancel or move to a competitor." }),
+  resolved: noul("The customer says the problem is already solved.", { false: "The customer still has the problem.", true: "The customer says the problem is fixed and nothing is left to do." }),
+});
+
+if (ticket.resolved.answer) closeTicket();
+else assign(ticket.team.choice, {
+  priority: ticket.urgency.level,
+  escalate: ticket.churnRisk.probability > 0.7,
+});`}];function BP(e){let t=zP.find(t=>t.id===e);if(!t)throw Error(`Unknown demo: ${e}`);return t}var VP=null,HP=!1;function UP(){return HP}function WP(){HP=!0}function GP(){return typeof navigator<`u`&&`gpu`in navigator}async function KP(e){return mP.info(e)}async function qP(e,t){return VP&&(await VP.dispose(),VP=null,HP=!1),VP=await mP.load({...e,onProgress:t}),VP}function JP({demo:e,open:t,onClose:n}){let[r,i]=(0,S.useState)(!1);return(0,j.jsx)(Dt,{open:t,onClose:n,title:`${e.title}: minimal implementation`,subtitle:`Everything this demo does, without the UI.`,actions:(0,j.jsx)(vt,{variant:r?`accent`:`secondary`,size:`sm`,onClick:async()=>{try{await navigator.clipboard.writeText(e.code),i(!0),setTimeout(()=>i(!1),1600)}catch{i(!1)}},icon:r?(0,j.jsx)(le,{size:16}):(0,j.jsx)(ye,{size:16}),children:r?`Copied`:`Copy`}),children:(0,j.jsxs)(`div`,{className:`flex flex-col gap-4 p-6`,children:[(0,j.jsx)(wt,{code:`npm install open-jev 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+
+const jev = await OpenJev.load({ model: "kev-0.6b" });
+
+const [area, mood, refund] = await jev.decide(text, [
+  choice("Which area?", ["billing", "shipping", "other"]),
+  score("How positive?", ["negative", "neutral", "positive"]),
+  noul("The customer asks for a refund."),
+]);
+
+area.choice; // "billing" | "shipping" | "other"
+mood.level; // "negative" | "neutral" | "positive"
+refund.answer; // boolean, with refund.probability`;function _F({className:e=``}){let[t,n]=(0,S.useState)(!1);return(0,j.jsxs)(bt,{padding:`lg`,className:A(`flex flex-col gap-5`,e),children:[(0,j.jsxs)(`div`,{className:`flex items-start justify-between gap-4`,children:[(0,j.jsxs)(`div`,{children:[(0,j.jsxs)(gt,{tone:`periwinkle`,size:`sm`,children:[(0,j.jsx)(He,{size:12}),`npm`]}),(0,j.jsx)(`h3`,{className:`mt-3 text-2xl font-semibold tracking-tight`,children:`The open-jev package`})]}),(0,j.jsxs)(gt,{tone:`outline`,className:`font-mono`,children:[`v`,ct]})]}),(0,j.jsxs)(`p`,{className:`text-sm leading-relaxed text-stone`,children:[(0,j.jsx)(`span`,{className:`font-mono text-ink`,children:`open-jev`}),` is an open reproduction of the Jev shape that runs fully in the browser via`,` `,(0,j.jsx)(`a`,{href:dt,target:`_blank`,rel:`noreferrer`,className:`font-medium text-ink underline decoration-periwinkle decoration-2 underline-offset-2 transition-colors hover:text-periwinkle`,children:`Transformers.js`}),`. 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\ No newline at end of file