Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(F.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...g(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=z.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>a(t)));i.length&&b(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=qi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=z.find(Ni);for(const i of e){const e=qi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ei,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:z.prev(this,Ii)[0]||z.next(this,Ii)[0]||z.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}N.on(document,Si,Ii,qi.dataApiKeydownHandler),N.on(document,Si,Pi,qi.dataApiKeydownHandler),N.on(document,Li,qi.clearMenus),N.on(document,Di,qi.clearMenus),N.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),m(qi);const Vi="backdrop",Ki="show",Qi=`mousedown.bs.${Vi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Yi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"
"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends H{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Yn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),N.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=g(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return 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object[0] : object\n }\n\n if (typeof object === 'string' && object.length > 0) {\n return document.querySelector(parseSelector(object))\n }\n\n return null\n}\n\nconst isVisible = element => {\n if (!isElement(element) || element.getClientRects().length === 0) {\n return false\n }\n\n const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n // Handle `details` element as its content may falsie appear visible when it is closed\n const closedDetails = element.closest('details:not([open])')\n\n if (!closedDetails) {\n return elementIsVisible\n }\n\n if (closedDetails !== element) {\n const summary = element.closest('summary')\n if (summary && summary.parentNode !== closedDetails) {\n return false\n }\n\n if (summary === null) {\n return false\n }\n }\n\n return elementIsVisible\n}\n\nconst isDisabled = element => {\n if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n return true\n }\n\n if (element.classList.contains('disabled')) {\n return true\n }\n\n if (typeof element.disabled !== 'undefined') {\n return element.disabled\n }\n\n return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n if (!document.documentElement.attachShadow) {\n return null\n }\n\n // Can find the shadow root otherwise it'll return the document\n if (typeof element.getRootNode === 'function') {\n const root = element.getRootNode()\n return root instanceof ShadowRoot ? root : null\n }\n\n if (element instanceof ShadowRoot) {\n return element\n }\n\n // when we don't find a shadow root\n if (!element.parentNode) {\n return null\n }\n\n return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n element.offsetHeight // eslint-disable-line no-unused-expressions\n}\n\nconst getjQuery = () => {\n if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n return window.jQuery\n }\n\n return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n if (document.readyState === 'loading') {\n // add listener on the first call when the document is in loading state\n if (!DOMContentLoadedCallbacks.length) {\n document.addEventListener('DOMContentLoaded', () => {\n for (const callback of DOMContentLoadedCallbacks) {\n callback()\n }\n })\n }\n\n DOMContentLoadedCallbacks.push(callback)\n } else {\n callback()\n }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n onDOMContentLoaded(() => {\n const $ = getjQuery()\n /* istanbul ignore if */\n if ($) {\n const name = plugin.NAME\n const JQUERY_NO_CONFLICT = $.fn[name]\n $.fn[name] = plugin.jQueryInterface\n $.fn[name].Constructor = plugin\n $.fn[name].noConflict = () => {\n $.fn[name] = JQUERY_NO_CONFLICT\n return plugin.jQueryInterface\n }\n }\n })\n}\n\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n if (!waitForTransition) {\n execute(callback)\n return\n }\n\n const durationPadding = 5\n const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n let called = false\n\n const handler = ({ target }) => {\n if (target !== transitionElement) {\n return\n }\n\n called = true\n transitionElement.removeEventListener(TRANSITION_END, handler)\n execute(callback)\n }\n\n transitionElement.addEventListener(TRANSITION_END, handler)\n setTimeout(() => {\n if (!called) {\n triggerTransitionEnd(transitionElement)\n }\n }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list The list of elements\n * @param activeElement The active element\n * @param shouldGetNext Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n const listLength = list.length\n let index = list.indexOf(activeElement)\n\n // if the element does not exist in the list return an element\n // depending on the direction and if cycle is allowed\n if (index === -1) {\n return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0]\n }\n\n index += shouldGetNext ? 1 : -1\n\n if (isCycleAllowed) {\n index = (index + listLength) % listLength\n }\n\n return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n defineJQueryPlugin,\n execute,\n executeAfterTransition,\n findShadowRoot,\n getElement,\n getjQuery,\n getNextActiveElement,\n getTransitionDurationFromElement,\n getUID,\n isDisabled,\n isElement,\n isRTL,\n isVisible,\n noop,\n onDOMContentLoaded,\n parseSelector,\n reflow,\n triggerTransitionEnd,\n toType\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index.js'\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n mouseenter: 'mouseover',\n mouseleave: 'mouseout'\n}\n\nconst nativeEvents = new Set([\n 'click',\n 'dblclick',\n 'mouseup',\n 'mousedown',\n 'contextmenu',\n 'mousewheel',\n 'DOMMouseScroll',\n 'mouseover',\n 'mouseout',\n 'mousemove',\n 'selectstart',\n 'selectend',\n 'keydown',\n 'keypress',\n 'keyup',\n 'orientationchange',\n 'touchstart',\n 'touchmove',\n 'touchend',\n 'touchcancel',\n 'pointerdown',\n 'pointermove',\n 'pointerup',\n 'pointerleave',\n 'pointercancel',\n 'gesturestart',\n 'gesturechange',\n 'gestureend',\n 'focus',\n 'blur',\n 'change',\n 'reset',\n 'select',\n 'submit',\n 'focusin',\n 'focusout',\n 'load',\n 'unload',\n 'beforeunload',\n 'resize',\n 'move',\n 'DOMContentLoaded',\n 'readystatechange',\n 'error',\n 'abort',\n 'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getElementEvents(element) {\n const uid = makeEventUid(element)\n\n element.uidEvent = uid\n eventRegistry[uid] = eventRegistry[uid] || {}\n\n return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n return function handler(event) {\n hydrateObj(event, { delegateTarget: element })\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, fn)\n }\n\n return fn.apply(element, [event])\n }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n return function handler(event) {\n const domElements = element.querySelectorAll(selector)\n\n for (let { target } = event; target && target !== this; target = target.parentNode) {\n for (const domElement of domElements) {\n if (domElement !== target) {\n continue\n }\n\n hydrateObj(event, { delegateTarget: target })\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, selector, fn)\n }\n\n return fn.apply(target, [event])\n }\n }\n }\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n return Object.values(events)\n .find(event => event.callable === callable && event.delegationSelector === delegationSelector)\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n const isDelegated = typeof handler === 'string'\n // TODO: tooltip passes `false` instead of selector, so we need to check\n const callable = isDelegated ? delegationFunction : (handler || delegationFunction)\n let typeEvent = getTypeEvent(originalTypeEvent)\n\n if (!nativeEvents.has(typeEvent)) {\n typeEvent = originalTypeEvent\n }\n\n return [isDelegated, callable, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return\n }\n\n let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n\n // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n if (originalTypeEvent in customEvents) {\n const wrapFunction = fn => {\n return function (event) {\n if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n return fn.call(this, event)\n }\n }\n }\n\n callable = wrapFunction(callable)\n }\n\n const events = getElementEvents(element)\n const handlers = events[typeEvent] || (events[typeEvent] = {})\n const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null)\n\n if (previousFunction) {\n previousFunction.oneOff = previousFunction.oneOff && oneOff\n\n return\n }\n\n const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''))\n const fn = isDelegated ?\n bootstrapDelegationHandler(element, handler, callable) :\n bootstrapHandler(element, callable)\n\n fn.delegationSelector = isDelegated ? handler : null\n fn.callable = callable\n fn.oneOff = oneOff\n fn.uidEvent = uid\n handlers[uid] = fn\n\n element.addEventListener(typeEvent, fn, isDelegated)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n if (!fn) {\n return\n }\n\n element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n const storeElementEvent = events[typeEvent] || {}\n\n for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n if (handlerKey.includes(namespace)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n }\n }\n}\n\nfunction getTypeEvent(event) {\n // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n event = event.replace(stripNameRegex, '')\n return customEvents[event] || event\n}\n\nconst EventHandler = {\n on(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, false)\n },\n\n one(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, true)\n },\n\n off(element, originalTypeEvent, handler, delegationFunction) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return\n }\n\n const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n const inNamespace = typeEvent !== originalTypeEvent\n const events = getElementEvents(element)\n const storeElementEvent = events[typeEvent] || {}\n const isNamespace = originalTypeEvent.startsWith('.')\n\n if (typeof callable !== 'undefined') {\n // Simplest case: handler is passed, remove that listener ONLY.\n if (!Object.keys(storeElementEvent).length) {\n return\n }\n\n removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null)\n return\n }\n\n if (isNamespace) {\n for (const elementEvent of Object.keys(events)) {\n removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n }\n }\n\n for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n }\n }\n },\n\n trigger(element, event, args) {\n if (typeof event !== 'string' || !element) {\n return null\n }\n\n const $ = getjQuery()\n const typeEvent = getTypeEvent(event)\n const inNamespace = event !== typeEvent\n\n let jQueryEvent = null\n let bubbles = true\n let nativeDispatch = true\n let defaultPrevented = false\n\n if (inNamespace && $) {\n jQueryEvent = $.Event(event, args)\n\n $(element).trigger(jQueryEvent)\n bubbles = !jQueryEvent.isPropagationStopped()\n nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n defaultPrevented = jQueryEvent.isDefaultPrevented()\n }\n\n const evt = hydrateObj(new Event(event, { bubbles, cancelable: true }), args)\n\n if (defaultPrevented) {\n evt.preventDefault()\n }\n\n if (nativeDispatch) {\n element.dispatchEvent(evt)\n }\n\n if (evt.defaultPrevented && jQueryEvent) {\n jQueryEvent.preventDefault()\n }\n\n return evt\n }\n}\n\nfunction hydrateObj(obj, meta = {}) {\n for (const [key, value] of Object.entries(meta)) {\n try {\n obj[key] = value\n } catch {\n Object.defineProperty(obj, key, {\n configurable: true,\n get() {\n return value\n }\n })\n }\n }\n\n return obj\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n if (value === 'true') {\n return true\n }\n\n if (value === 'false') {\n return false\n }\n\n if (value === Number(value).toString()) {\n return Number(value)\n }\n\n if (value === '' || value === 'null') {\n return null\n }\n\n if (typeof value !== 'string') {\n return value\n }\n\n try {\n return JSON.parse(decodeURIComponent(value))\n } catch {\n return value\n }\n}\n\nfunction normalizeDataKey(key) {\n return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n setDataAttribute(element, key, value) {\n element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n },\n\n removeDataAttribute(element, key) {\n element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n },\n\n getDataAttributes(element) {\n if (!element) {\n return {}\n }\n\n const attributes = {}\n const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'))\n\n for (const key of bsKeys) {\n let pureKey = key.replace(/^bs/, '')\n pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n attributes[pureKey] = normalizeData(element.dataset[key])\n }\n\n return attributes\n },\n\n getDataAttribute(element, key) {\n return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport { isElement, toType } from './index.js'\n\n/**\n * Class definition\n */\n\nclass Config {\n // Getters\n static get Default() {\n return {}\n }\n\n static get DefaultType() {\n return {}\n }\n\n static get NAME() {\n throw new Error('You have to implement the static method \"NAME\", for each component!')\n }\n\n _getConfig(config) {\n config = this._mergeConfigObj(config)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n _configAfterMerge(config) {\n return config\n }\n\n _mergeConfigObj(config, element) {\n const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {} // try to parse\n\n return {\n ...this.constructor.Default,\n ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n ...(typeof config === 'object' ? config : {})\n }\n }\n\n _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n for (const [property, expectedTypes] of Object.entries(configTypes)) {\n const value = config[property]\n const valueType = isElement(value) ? 'element' : toType(value)\n\n if (!new RegExp(expectedTypes).test(valueType)) {\n throw new TypeError(\n `${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n )\n }\n }\n }\n}\n\nexport default Config\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data.js'\nimport EventHandler from './dom/event-handler.js'\nimport Config from './util/config.js'\nimport { executeAfterTransition, getElement } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.1'\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n constructor(element, config) {\n super()\n\n element = getElement(element)\n if (!element) {\n return\n }\n\n this._element = element\n this._config = this._getConfig(config)\n\n Data.set(this._element, this.constructor.DATA_KEY, this)\n }\n\n // Public\n dispose() {\n Data.remove(this._element, this.constructor.DATA_KEY)\n EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n for (const propertyName of Object.getOwnPropertyNames(this)) {\n this[propertyName] = null\n }\n }\n\n _queueCallback(callback, element, isAnimated = true) {\n executeAfterTransition(callback, element, isAnimated)\n }\n\n _getConfig(config) {\n config = this._mergeConfigObj(config, this._element)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n // Static\n static getInstance(element) {\n return Data.get(getElement(element), this.DATA_KEY)\n }\n\n static getOrCreateInstance(element, config = {}) {\n return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n }\n\n static get VERSION() {\n return VERSION\n }\n\n static get DATA_KEY() {\n return `bs.${this.NAME}`\n }\n\n static get EVENT_KEY() {\n return `.${this.DATA_KEY}`\n }\n\n static eventName(name) {\n return `${name}${this.EVENT_KEY}`\n }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isDisabled, isVisible, parseSelector } from '../util/index.js'\n\nconst getSelector = element => {\n let selector = element.getAttribute('data-bs-target')\n\n if (!selector || selector === '#') {\n let hrefAttribute = element.getAttribute('href')\n\n // The only valid content that could double as a selector are IDs or classes,\n // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n // `document.querySelector` will rightfully complain it is invalid.\n // See https://github.com/twbs/bootstrap/issues/32273\n if (!hrefAttribute || (!hrefAttribute.includes('#') && !hrefAttribute.startsWith('.'))) {\n return null\n }\n\n // Just in case some CMS puts out a full URL with the anchor appended\n if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n hrefAttribute = `#${hrefAttribute.split('#')[1]}`\n }\n\n selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null\n }\n\n return parseSelector(selector)\n}\n\nconst SelectorEngine = {\n find(selector, element = document.documentElement) {\n return [].concat(...Element.prototype.querySelectorAll.call(element, selector))\n },\n\n findOne(selector, element = document.documentElement) {\n return Element.prototype.querySelector.call(element, selector)\n },\n\n children(element, selector) {\n return [].concat(...element.children).filter(child => child.matches(selector))\n },\n\n parents(element, selector) {\n const parents = []\n let ancestor = element.parentNode.closest(selector)\n\n while (ancestor) {\n parents.push(ancestor)\n ancestor = ancestor.parentNode.closest(selector)\n }\n\n return parents\n },\n\n prev(element, selector) {\n let previous = element.previousElementSibling\n\n while (previous) {\n if (previous.matches(selector)) {\n return [previous]\n }\n\n previous = previous.previousElementSibling\n }\n\n return []\n },\n // TODO: this is now unused; remove later along with prev()\n next(element, selector) {\n let next = element.nextElementSibling\n\n while (next) {\n if (next.matches(selector)) {\n return [next]\n }\n\n next = next.nextElementSibling\n }\n\n return []\n },\n\n focusableChildren(element) {\n const focusables = [\n 'a',\n 'button',\n 'input',\n 'textarea',\n 'select',\n 'details',\n '[tabindex]',\n '[contenteditable=\"true\"]'\n ].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',')\n\n return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el))\n },\n\n getSelectorFromElement(element) {\n const selector = getSelector(element)\n\n if (selector) {\n return SelectorEngine.findOne(selector) ? selector : null\n }\n\n return null\n },\n\n getElementFromSelector(element) {\n const selector = getSelector(element)\n\n return selector ? SelectorEngine.findOne(selector) : null\n },\n\n getMultipleElementsFromSelector(element) {\n const selector = getSelector(element)\n\n return selector ? SelectorEngine.find(selector) : []\n }\n}\n\nexport default SelectorEngine\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isDisabled } from './index.js'\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n const clickEvent = `click.dismiss${component.EVENT_KEY}`\n const name = component.NAME\n\n EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`)\n const instance = component.getOrCreateInstance(target)\n\n // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n instance[method]()\n })\n}\n\nexport {\n enableDismissTrigger\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME\n }\n\n // Public\n close() {\n const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE)\n\n if (closeEvent.defaultPrevented) {\n return\n }\n\n this._element.classList.remove(CLASS_NAME_SHOW)\n\n const isAnimated = this._element.classList.contains(CLASS_NAME_FADE)\n this._queueCallback(() => this._destroyElement(), this._element, isAnimated)\n }\n\n // Private\n _destroyElement() {\n this._element.remove()\n EventHandler.trigger(this._element, EVENT_CLOSED)\n this.dispose()\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Alert.getOrCreateInstance(this)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close')\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Button.getOrCreateInstance(this)\n\n if (config === 'toggle') {\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n event.preventDefault()\n\n const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n const data = Button.getOrCreateInstance(button)\n\n data.toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'swipe'\nconst EVENT_KEY = '.bs.swipe'\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n endCallback: null,\n leftCallback: null,\n rightCallback: null\n}\n\nconst DefaultType = {\n endCallback: '(function|null)',\n leftCallback: '(function|null)',\n rightCallback: '(function|null)'\n}\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n constructor(element, config) {\n super()\n this._element = element\n\n if (!element || !Swipe.isSupported()) {\n return\n }\n\n this._config = this._getConfig(config)\n this._deltaX = 0\n this._supportPointerEvents = Boolean(window.PointerEvent)\n this._initEvents()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n dispose() {\n EventHandler.off(this._element, EVENT_KEY)\n }\n\n // Private\n _start(event) {\n if (!this._supportPointerEvents) {\n this._deltaX = event.touches[0].clientX\n\n return\n }\n\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX\n }\n }\n\n _end(event) {\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX - this._deltaX\n }\n\n this._handleSwipe()\n execute(this._config.endCallback)\n }\n\n _move(event) {\n this._deltaX = event.touches && event.touches.length > 1 ?\n 0 :\n event.touches[0].clientX - this._deltaX\n }\n\n _handleSwipe() {\n const absDeltaX = Math.abs(this._deltaX)\n\n if (absDeltaX <= SWIPE_THRESHOLD) {\n return\n }\n\n const direction = absDeltaX / this._deltaX\n\n this._deltaX = 0\n\n if (!direction) {\n return\n }\n\n execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback)\n }\n\n _initEvents() {\n if (this._supportPointerEvents) {\n EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event))\n EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event))\n\n this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n } else {\n EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event))\n EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event))\n EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event))\n }\n }\n\n _eventIsPointerPenTouch(event) {\n return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)\n }\n\n // Static\n static isSupported() {\n return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n }\n}\n\nexport default Swipe\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n getNextActiveElement,\n isRTL,\n isVisible,\n reflow,\n triggerTransitionEnd\n} from './util/index.js'\nimport Swipe from './util/swipe.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst KEY_TO_DIRECTION = {\n [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst Default = {\n interval: 5000,\n keyboard: true,\n pause: 'hover',\n ride: false,\n touch: true,\n wrap: true\n}\n\nconst DefaultType = {\n interval: '(number|boolean)', // TODO:v6 remove boolean support\n keyboard: 'boolean',\n pause: '(string|boolean)',\n ride: '(boolean|string)',\n touch: 'boolean',\n wrap: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._interval = null\n this._activeElement = null\n this._isSliding = false\n this.touchTimeout = null\n this._swipeHelper = null\n\n this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n this._addEventListeners()\n\n if (this._config.ride === CLASS_NAME_CAROUSEL) {\n this.cycle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n next() {\n this._slide(ORDER_NEXT)\n }\n\n nextWhenVisible() {\n // FIXME TODO use `document.visibilityState`\n // Don't call next when the page isn't visible\n // or the carousel or its parent isn't visible\n if (!document.hidden && isVisible(this._element)) {\n this.next()\n }\n }\n\n prev() {\n this._slide(ORDER_PREV)\n }\n\n pause() {\n if (this._isSliding) {\n triggerTransitionEnd(this._element)\n }\n\n this._clearInterval()\n }\n\n cycle() {\n this._clearInterval()\n this._updateInterval()\n\n this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval)\n }\n\n _maybeEnableCycle() {\n if (!this._config.ride) {\n return\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.cycle())\n return\n }\n\n this.cycle()\n }\n\n to(index) {\n const items = this._getItems()\n if (index > items.length - 1 || index < 0) {\n return\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n return\n }\n\n const activeIndex = this._getItemIndex(this._getActive())\n if (activeIndex === index) {\n return\n }\n\n const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV\n\n this._slide(order, items[index])\n }\n\n dispose() {\n if (this._swipeHelper) {\n this._swipeHelper.dispose()\n }\n\n super.dispose()\n }\n\n // Private\n _configAfterMerge(config) {\n config.defaultInterval = config.interval\n return config\n }\n\n _addEventListeners() {\n if (this._config.keyboard) {\n EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n }\n\n if (this._config.pause === 'hover') {\n EventHandler.on(this._element, EVENT_MOUSEENTER, () => this.pause())\n EventHandler.on(this._element, EVENT_MOUSELEAVE, () => this._maybeEnableCycle())\n }\n\n if (this._config.touch && Swipe.isSupported()) {\n this._addTouchEventListeners()\n }\n }\n\n _addTouchEventListeners() {\n for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault())\n }\n\n const endCallBack = () => {\n if (this._config.pause !== 'hover') {\n return\n }\n\n // If it's a touch-enabled device, mouseenter/leave are fired as\n // part of the mouse compatibility events on first tap - the carousel\n // would stop cycling until user tapped out of it;\n // here, we listen for touchend, explicitly pause the carousel\n // (as if it's the second time we tap on it, mouseenter compat event\n // is NOT fired) and after a timeout (to allow for mouse compatibility\n // events to fire) we explicitly restart cycling\n\n this.pause()\n if (this.touchTimeout) {\n clearTimeout(this.touchTimeout)\n }\n\n this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n }\n\n const swipeConfig = {\n leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n endCallback: endCallBack\n }\n\n this._swipeHelper = new Swipe(this._element, swipeConfig)\n }\n\n _keydown(event) {\n if (/input|textarea/i.test(event.target.tagName)) {\n return\n }\n\n const direction = KEY_TO_DIRECTION[event.key]\n if (direction) {\n event.preventDefault()\n this._slide(this._directionToOrder(direction))\n }\n }\n\n _getItemIndex(element) {\n return this._getItems().indexOf(element)\n }\n\n _setActiveIndicatorElement(index) {\n if (!this._indicatorsElement) {\n return\n }\n\n const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n activeIndicator.removeAttribute('aria-current')\n\n const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement)\n\n if (newActiveIndicator) {\n newActiveIndicator.classList.add(CLASS_NAME_ACTIVE)\n newActiveIndicator.setAttribute('aria-current', 'true')\n }\n }\n\n _updateInterval() {\n const element = this._activeElement || this._getActive()\n\n if (!element) {\n return\n }\n\n const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n this._config.interval = elementInterval || this._config.defaultInterval\n }\n\n _slide(order, element = null) {\n if (this._isSliding) {\n return\n }\n\n const activeElement = this._getActive()\n const isNext = order === ORDER_NEXT\n const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap)\n\n if (nextElement === activeElement) {\n return\n }\n\n const nextElementIndex = this._getItemIndex(nextElement)\n\n const triggerEvent = eventName => {\n return EventHandler.trigger(this._element, eventName, {\n relatedTarget: nextElement,\n direction: this._orderToDirection(order),\n from: this._getItemIndex(activeElement),\n to: nextElementIndex\n })\n }\n\n const slideEvent = triggerEvent(EVENT_SLIDE)\n\n if (slideEvent.defaultPrevented) {\n return\n }\n\n if (!activeElement || !nextElement) {\n // Some weirdness is happening, so we bail\n // TODO: change tests that use empty divs to avoid this check\n return\n }\n\n const isCycling = Boolean(this._interval)\n this.pause()\n\n this._isSliding = true\n\n this._setActiveIndicatorElement(nextElementIndex)\n this._activeElement = nextElement\n\n const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n\n nextElement.classList.add(orderClassName)\n\n reflow(nextElement)\n\n activeElement.classList.add(directionalClassName)\n nextElement.classList.add(directionalClassName)\n\n const completeCallBack = () => {\n nextElement.classList.remove(directionalClassName, orderClassName)\n nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n this._isSliding = false\n\n triggerEvent(EVENT_SLID)\n }\n\n this._queueCallback(completeCallBack, activeElement, this._isAnimated())\n\n if (isCycling) {\n this.cycle()\n }\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_SLIDE)\n }\n\n _getActive() {\n return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n }\n\n _getItems() {\n return SelectorEngine.find(SELECTOR_ITEM, this._element)\n }\n\n _clearInterval() {\n if (this._interval) {\n clearInterval(this._interval)\n this._interval = null\n }\n }\n\n _directionToOrder(direction) {\n if (isRTL()) {\n return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n }\n\n return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n }\n\n _orderToDirection(order) {\n if (isRTL()) {\n return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n }\n\n return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Carousel.getOrCreateInstance(this, config)\n\n if (typeof config === 'number') {\n data.to(config)\n return\n }\n\n if (typeof config === 'string') {\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n return\n }\n\n event.preventDefault()\n\n const carousel = Carousel.getOrCreateInstance(target)\n const slideIndex = this.getAttribute('data-bs-slide-to')\n\n if (slideIndex) {\n carousel.to(slideIndex)\n carousel._maybeEnableCycle()\n return\n }\n\n if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n carousel.next()\n carousel._maybeEnableCycle()\n return\n }\n\n carousel.prev()\n carousel._maybeEnableCycle()\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n for (const carousel of carousels) {\n Carousel.getOrCreateInstance(carousel)\n }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n getElement,\n reflow\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\nconst Default = {\n parent: null,\n toggle: true\n}\n\nconst DefaultType = {\n parent: '(null|element)',\n toggle: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._isTransitioning = false\n this._triggerArray = []\n\n const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n for (const elem of toggleList) {\n const selector = SelectorEngine.getSelectorFromElement(elem)\n const filterElement = SelectorEngine.find(selector)\n .filter(foundElement => foundElement === this._element)\n\n if (selector !== null && filterElement.length) {\n this._triggerArray.push(elem)\n }\n }\n\n this._initializeChildren()\n\n if (!this._config.parent) {\n this._addAriaAndCollapsedClass(this._triggerArray, this._isShown())\n }\n\n if (this._config.toggle) {\n this.toggle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n if (this._isShown()) {\n this.hide()\n } else {\n this.show()\n }\n }\n\n show() {\n if (this._isTransitioning || this._isShown()) {\n return\n }\n\n let activeChildren = []\n\n // find active children\n if (this._config.parent) {\n activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES)\n .filter(element => element !== this._element)\n .map(element => Collapse.getOrCreateInstance(element, { toggle: false }))\n }\n\n if (activeChildren.length && activeChildren[0]._isTransitioning) {\n return\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n if (startEvent.defaultPrevented) {\n return\n }\n\n for (const activeInstance of activeChildren) {\n activeInstance.hide()\n }\n\n const dimension = this._getDimension()\n\n this._element.classList.remove(CLASS_NAME_COLLAPSE)\n this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n this._element.style[dimension] = 0\n\n this._addAriaAndCollapsedClass(this._triggerArray, true)\n this._isTransitioning = true\n\n const complete = () => {\n this._isTransitioning = false\n\n this._element.classList.remove(CLASS_NAME_COLLAPSING)\n this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n this._element.style[dimension] = ''\n\n EventHandler.trigger(this._element, EVENT_SHOWN)\n }\n\n const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n const scrollSize = `scroll${capitalizedDimension}`\n\n this._queueCallback(complete, this._element, true)\n this._element.style[dimension] = `${this._element[scrollSize]}px`\n }\n\n hide() {\n if (this._isTransitioning || !this._isShown()) {\n return\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n if (startEvent.defaultPrevented) {\n return\n }\n\n const dimension = this._getDimension()\n\n this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n reflow(this._element)\n\n this._element.classList.add(CLASS_NAME_COLLAPSING)\n this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n for (const trigger of this._triggerArray) {\n const element = SelectorEngine.getElementFromSelector(trigger)\n\n if (element && !this._isShown(element)) {\n this._addAriaAndCollapsedClass([trigger], false)\n }\n }\n\n this._isTransitioning = true\n\n const complete = () => {\n this._isTransitioning = false\n this._element.classList.remove(CLASS_NAME_COLLAPSING)\n this._element.classList.add(CLASS_NAME_COLLAPSE)\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._element.style[dimension] = ''\n\n this._queueCallback(complete, this._element, true)\n }\n\n _isShown(element = this._element) {\n return element.classList.contains(CLASS_NAME_SHOW)\n }\n\n // Private\n _configAfterMerge(config) {\n config.toggle = Boolean(config.toggle) // Coerce string values\n config.parent = getElement(config.parent)\n return config\n }\n\n _getDimension() {\n return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT\n }\n\n _initializeChildren() {\n if (!this._config.parent) {\n return\n }\n\n const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE)\n\n for (const element of children) {\n const selected = SelectorEngine.getElementFromSelector(element)\n\n if (selected) {\n this._addAriaAndCollapsedClass([element], this._isShown(selected))\n }\n }\n }\n\n _getFirstLevelChildren(selector) {\n const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n // remove children if greater depth\n return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element))\n }\n\n _addAriaAndCollapsedClass(triggerArray, isOpen) {\n if (!triggerArray.length) {\n return\n }\n\n for (const element of triggerArray) {\n element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen)\n element.setAttribute('aria-expanded', isOpen)\n }\n }\n\n // Static\n static jQueryInterface(config) {\n const _config = {}\n if (typeof config === 'string' && /show|hide/.test(config)) {\n _config.toggle = false\n }\n\n return this.each(function () {\n const data = Collapse.getOrCreateInstance(this, _config)\n\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n // preventDefault only for elements (which change the URL) not inside the collapsible element\n if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n event.preventDefault()\n }\n\n for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n Collapse.getOrCreateInstance(element, { toggle: false }).toggle()\n }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n if (node == null) {\n return window;\n }\n\n if (node.toString() !== '[object Window]') {\n var ownerDocument = node.ownerDocument;\n return ownerDocument ? ownerDocument.defaultView || window : window;\n }\n\n return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n var OwnElement = getWindow(node).Element;\n return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n var OwnElement = getWindow(node).HTMLElement;\n return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n // IE 11 has no ShadowRoot\n if (typeof ShadowRoot === 'undefined') {\n return false;\n }\n\n var OwnElement = getWindow(node).ShadowRoot;\n return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n var state = _ref.state;\n Object.keys(state.elements).forEach(function (name) {\n var style = state.styles[name] || {};\n var attributes = state.attributes[name] || {};\n var element = state.elements[name]; // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n } // Flow doesn't support to extend this property, but it's the most\n // effective way to apply styles to an HTMLElement\n // $FlowFixMe[cannot-write]\n\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (name) {\n var value = attributes[name];\n\n if (value === false) {\n element.removeAttribute(name);\n } else {\n element.setAttribute(name, value === true ? '' : value);\n }\n });\n });\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state;\n var initialStyles = {\n popper: {\n position: state.options.strategy,\n left: '0',\n top: '0',\n margin: '0'\n },\n arrow: {\n position: 'absolute'\n },\n reference: {}\n };\n Object.assign(state.elements.popper.style, initialStyles.popper);\n state.styles = initialStyles;\n\n if (state.elements.arrow) {\n Object.assign(state.elements.arrow.style, initialStyles.arrow);\n }\n\n return function () {\n Object.keys(state.elements).forEach(function (name) {\n var element = state.elements[name];\n var attributes = state.attributes[name] || {};\n var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n var style = styleProperties.reduce(function (style, property) {\n style[property] = '';\n return style;\n }, {}); // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n }\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (attribute) {\n element.removeAttribute(attribute);\n });\n });\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'applyStyles',\n enabled: true,\n phase: 'write',\n fn: applyStyles,\n effect: effect,\n requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n var uaData = navigator.userAgentData;\n\n if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n return uaData.brands.map(function (item) {\n return item.brand + \"/\" + item.version;\n }).join(' ');\n }\n\n return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n if (includeScale === void 0) {\n includeScale = false;\n }\n\n if (isFixedStrategy === void 0) {\n isFixedStrategy = false;\n }\n\n var clientRect = element.getBoundingClientRect();\n var scaleX = 1;\n var scaleY = 1;\n\n if (includeScale && isHTMLElement(element)) {\n scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n }\n\n var _ref = isElement(element) ? getWindow(element) : window,\n visualViewport = _ref.visualViewport;\n\n var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n var width = clientRect.width / scaleX;\n var height = clientRect.height / scaleY;\n return {\n width: width,\n height: height,\n top: y,\n right: x + width,\n bottom: y + height,\n left: x,\n x: x,\n y: y\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n var width = element.offsetWidth;\n var height = element.offsetHeight;\n\n if (Math.abs(clientRect.width - width) <= 1) {\n width = clientRect.width;\n }\n\n if (Math.abs(clientRect.height - height) <= 1) {\n height = clientRect.height;\n }\n\n return {\n x: element.offsetLeft,\n y: element.offsetTop,\n width: width,\n height: height\n };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n if (parent.contains(child)) {\n return true;\n } // then fallback to custom implementation with Shadow DOM support\n else if (rootNode && isShadowRoot(rootNode)) {\n var next = child;\n\n do {\n if (next && parent.isSameNode(next)) {\n return true;\n } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n next = next.parentNode || next.host;\n } while (next);\n } // Give up, the result is false\n\n\n return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n if (getNodeName(element) === 'html') {\n return element;\n }\n\n return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n // $FlowFixMe[incompatible-return]\n // $FlowFixMe[prop-missing]\n element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n element.parentNode || ( // DOM Element detected\n isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n getDocumentElement(element) // fallback\n\n );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n getComputedStyle(element).position === 'fixed') {\n return null;\n }\n\n return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n var isFirefox = /firefox/i.test(getUAString());\n var isIE = /Trident/i.test(getUAString());\n\n if (isIE && isHTMLElement(element)) {\n // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n var elementCss = getComputedStyle(element);\n\n if (elementCss.position === 'fixed') {\n return null;\n }\n }\n\n var currentNode = getParentNode(element);\n\n if (isShadowRoot(currentNode)) {\n currentNode = currentNode.host;\n }\n\n while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n // create a containing block.\n // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n return currentNode;\n } else {\n currentNode = currentNode.parentNode;\n }\n }\n\n return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n var window = getWindow(element);\n var offsetParent = getTrueOffsetParent(element);\n\n while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n offsetParent = getTrueOffsetParent(offsetParent);\n }\n\n if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n return window;\n }\n\n return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n var v = within(min, value, max);\n return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n return {\n top: 0,\n right: 0,\n bottom: 0,\n left: 0\n };\n}","export default function expandToHashMap(value, keys) {\n return keys.reduce(function (hashMap, key) {\n hashMap[key] = value;\n return hashMap;\n }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n placement: state.placement\n })) : padding;\n return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n var _state$modifiersData$;\n\n var state = _ref.state,\n name = _ref.name,\n options = _ref.options;\n var arrowElement = state.elements.arrow;\n var popperOffsets = state.modifiersData.popperOffsets;\n var basePlacement = getBasePlacement(state.placement);\n var axis = getMainAxisFromPlacement(basePlacement);\n var isVertical = [left, right].indexOf(basePlacement) >= 0;\n var len = isVertical ? 'height' : 'width';\n\n if (!arrowElement || !popperOffsets) {\n return;\n }\n\n var paddingObject = toPaddingObject(options.padding, state);\n var arrowRect = getLayoutRect(arrowElement);\n var minProp = axis === 'y' ? top : left;\n var maxProp = axis === 'y' ? bottom : right;\n var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n var arrowOffsetParent = getOffsetParent(arrowElement);\n var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n // outside of the popper bounds\n\n var min = paddingObject[minProp];\n var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n var axisProp = axis;\n state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state,\n options = _ref2.options;\n var _options$element = options.element,\n arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n if (arrowElement == null) {\n return;\n } // CSS selector\n\n\n if (typeof arrowElement === 'string') {\n arrowElement = state.elements.popper.querySelector(arrowElement);\n\n if (!arrowElement) {\n return;\n }\n }\n\n if (!contains(state.elements.popper, arrowElement)) {\n return;\n }\n\n state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'arrow',\n enabled: true,\n phase: 'main',\n fn: arrow,\n effect: effect,\n requires: ['popperOffsets'],\n requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n top: 'auto',\n right: 'auto',\n bottom: 'auto',\n left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n var x = _ref.x,\n y = _ref.y;\n var dpr = win.devicePixelRatio || 1;\n return {\n x: round(x * dpr) / dpr || 0,\n y: round(y * dpr) / dpr || 0\n };\n}\n\nexport function mapToStyles(_ref2) {\n var _Object$assign2;\n\n var popper = _ref2.popper,\n popperRect = _ref2.popperRect,\n placement = _ref2.placement,\n variation = _ref2.variation,\n offsets = _ref2.offsets,\n position = _ref2.position,\n gpuAcceleration = _ref2.gpuAcceleration,\n adaptive = _ref2.adaptive,\n roundOffsets = _ref2.roundOffsets,\n isFixed = _ref2.isFixed;\n var _offsets$x = offsets.x,\n x = _offsets$x === void 0 ? 0 : _offsets$x,\n _offsets$y = offsets.y,\n y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n x: x,\n y: y\n }) : {\n x: x,\n y: y\n };\n\n x = _ref3.x;\n y = _ref3.y;\n var hasX = offsets.hasOwnProperty('x');\n var hasY = offsets.hasOwnProperty('y');\n var sideX = left;\n var sideY = top;\n var win = window;\n\n if (adaptive) {\n var offsetParent = getOffsetParent(popper);\n var heightProp = 'clientHeight';\n var widthProp = 'clientWidth';\n\n if (offsetParent === getWindow(popper)) {\n offsetParent = getDocumentElement(popper);\n\n if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n heightProp = 'scrollHeight';\n widthProp = 'scrollWidth';\n }\n } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n offsetParent = offsetParent;\n\n if (placement === top || (placement === left || placement === right) && variation === end) {\n sideY = bottom;\n var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n offsetParent[heightProp];\n y -= offsetY - popperRect.height;\n y *= gpuAcceleration ? 1 : -1;\n }\n\n if (placement === left || (placement === top || placement === bottom) && variation === end) {\n sideX = right;\n var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n offsetParent[widthProp];\n x -= offsetX - popperRect.width;\n x *= gpuAcceleration ? 1 : -1;\n }\n }\n\n var commonStyles = Object.assign({\n position: position\n }, adaptive && unsetSides);\n\n var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n x: x,\n y: y\n }, getWindow(popper)) : {\n x: x,\n y: y\n };\n\n x = _ref4.x;\n y = _ref4.y;\n\n if (gpuAcceleration) {\n var _Object$assign;\n\n return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n }\n\n return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n var state = _ref5.state,\n options = _ref5.options;\n var _options$gpuAccelerat = options.gpuAcceleration,\n gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n _options$adaptive = options.adaptive,\n adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n _options$roundOffsets = options.roundOffsets,\n roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n var commonStyles = {\n placement: getBasePlacement(state.placement),\n variation: getVariation(state.placement),\n popper: state.elements.popper,\n popperRect: state.rects.popper,\n gpuAcceleration: gpuAcceleration,\n isFixed: state.options.strategy === 'fixed'\n };\n\n if (state.modifiersData.popperOffsets != null) {\n state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.popperOffsets,\n position: state.options.strategy,\n adaptive: adaptive,\n roundOffsets: roundOffsets\n })));\n }\n\n if (state.modifiersData.arrow != null) {\n state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.arrow,\n position: 'absolute',\n adaptive: false,\n roundOffsets: roundOffsets\n })));\n }\n\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-placement': state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'computeStyles',\n enabled: true,\n phase: 'beforeWrite',\n fn: computeStyles,\n data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n passive: true\n};\n\nfunction effect(_ref) {\n var state = _ref.state,\n instance = _ref.instance,\n options = _ref.options;\n var _options$scroll = options.scroll,\n scroll = _options$scroll === void 0 ? true : _options$scroll,\n _options$resize = options.resize,\n resize = _options$resize === void 0 ? true : _options$resize;\n var window = getWindow(state.elements.popper);\n var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.addEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.addEventListener('resize', instance.update, passive);\n }\n\n return function () {\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.removeEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.removeEventListener('resize', instance.update, passive);\n }\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'eventListeners',\n enabled: true,\n phase: 'write',\n fn: function fn() {},\n effect: effect,\n data: {}\n};","var hash = {\n left: 'right',\n right: 'left',\n bottom: 'top',\n top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n return placement.replace(/left|right|bottom|top/g, function (matched) {\n return hash[matched];\n });\n}","var hash = {\n start: 'end',\n end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n return placement.replace(/start|end/g, function (matched) {\n return hash[matched];\n });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n var win = getWindow(node);\n var scrollLeft = win.pageXOffset;\n var scrollTop = win.pageYOffset;\n return {\n scrollLeft: scrollLeft,\n scrollTop: scrollTop\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n // If has a CSS width greater than the viewport, then this will be\n // incorrect for RTL.\n // Popper 1 is broken in this case and never had a bug report so let's assume\n // it's not an issue. I don't think anyone ever specifies width on \n // anyway.\n // Browsers where the left scrollbar doesn't cause an issue report `0` for\n // this (e.g. Edge 2019, IE11, Safari)\n return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n // Firefox wants us to check `-x` and `-y` variations as well\n var _getComputedStyle = getComputedStyle(element),\n overflow = _getComputedStyle.overflow,\n overflowX = _getComputedStyle.overflowX,\n overflowY = _getComputedStyle.overflowY;\n\n return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return node.ownerDocument.body;\n }\n\n if (isHTMLElement(node) && isScrollParent(node)) {\n return node;\n }\n\n return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n var _element$ownerDocumen;\n\n if (list === void 0) {\n list = [];\n }\n\n var scrollParent = getScrollParent(element);\n var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n var win = getWindow(scrollParent);\n var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n var updatedList = list.concat(target);\n return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n return Object.assign({}, rect, {\n left: rect.x,\n top: rect.y,\n right: rect.x + rect.width,\n bottom: rect.y + rect.height\n });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n rect.top = rect.top + element.clientTop;\n rect.left = rect.left + element.clientLeft;\n rect.bottom = rect.top + element.clientHeight;\n rect.right = rect.left + element.clientWidth;\n rect.width = element.clientWidth;\n rect.height = element.clientHeight;\n rect.x = rect.left;\n rect.y = rect.top;\n return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n var clippingParents = listScrollParents(getParentNode(element));\n var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n if (!isElement(clipperElement)) {\n return [];\n } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n return clippingParents.filter(function (clippingParent) {\n return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n var firstClippingParent = clippingParents[0];\n var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n accRect.top = max(rect.top, accRect.top);\n accRect.right = min(rect.right, accRect.right);\n accRect.bottom = min(rect.bottom, accRect.bottom);\n accRect.left = max(rect.left, accRect.left);\n return accRect;\n }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n clippingRect.width = clippingRect.right - clippingRect.left;\n clippingRect.height = clippingRect.bottom - clippingRect.top;\n clippingRect.x = clippingRect.left;\n clippingRect.y = clippingRect.top;\n return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n var win = getWindow(element);\n var html = getDocumentElement(element);\n var visualViewport = win.visualViewport;\n var width = html.clientWidth;\n var height = html.clientHeight;\n var x = 0;\n var y = 0;\n\n if (visualViewport) {\n width = visualViewport.width;\n height = visualViewport.height;\n var layoutViewport = isLayoutViewport();\n\n if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n x = visualViewport.offsetLeft;\n y = visualViewport.offsetTop;\n }\n }\n\n return {\n width: width,\n height: height,\n x: x + getWindowScrollBarX(element),\n y: y\n };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `` and `` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n var _element$ownerDocumen;\n\n var html = getDocumentElement(element);\n var winScroll = getWindowScroll(element);\n var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n var y = -winScroll.scrollTop;\n\n if (getComputedStyle(body || html).direction === 'rtl') {\n x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n }\n\n return {\n width: width,\n height: height,\n x: x,\n y: y\n };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n var reference = _ref.reference,\n element = _ref.element,\n placement = _ref.placement;\n var basePlacement = placement ? getBasePlacement(placement) : null;\n var variation = placement ? getVariation(placement) : null;\n var commonX = reference.x + reference.width / 2 - element.width / 2;\n var commonY = reference.y + reference.height / 2 - element.height / 2;\n var offsets;\n\n switch (basePlacement) {\n case top:\n offsets = {\n x: commonX,\n y: reference.y - element.height\n };\n break;\n\n case bottom:\n offsets = {\n x: commonX,\n y: reference.y + reference.height\n };\n break;\n\n case right:\n offsets = {\n x: reference.x + reference.width,\n y: commonY\n };\n break;\n\n case left:\n offsets = {\n x: reference.x - element.width,\n y: commonY\n };\n break;\n\n default:\n offsets = {\n x: reference.x,\n y: reference.y\n };\n }\n\n var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n if (mainAxis != null) {\n var len = mainAxis === 'y' ? 'height' : 'width';\n\n switch (variation) {\n case start:\n offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n break;\n\n case end:\n offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n break;\n\n default:\n }\n }\n\n return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n _options$placement = _options.placement,\n placement = _options$placement === void 0 ? state.placement : _options$placement,\n _options$strategy = _options.strategy,\n strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n _options$boundary = _options.boundary,\n boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n _options$rootBoundary = _options.rootBoundary,\n rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n _options$elementConte = _options.elementContext,\n elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n _options$altBoundary = _options.altBoundary,\n altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n _options$padding = _options.padding,\n padding = _options$padding === void 0 ? 0 : _options$padding;\n var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n var altContext = elementContext === popper ? reference : popper;\n var popperRect = state.rects.popper;\n var element = state.elements[altBoundary ? altContext : elementContext];\n var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n var referenceClientRect = getBoundingClientRect(state.elements.reference);\n var popperOffsets = computeOffsets({\n reference: referenceClientRect,\n element: popperRect,\n strategy: 'absolute',\n placement: placement\n });\n var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n // 0 or negative = within the clipping rect\n\n var overflowOffsets = {\n top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n };\n var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n if (elementContext === popper && offsetData) {\n var offset = offsetData[placement];\n Object.keys(overflowOffsets).forEach(function (key) {\n var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n overflowOffsets[key] += offset[axis] * multiply;\n });\n }\n\n return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n placement = _options.placement,\n boundary = _options.boundary,\n rootBoundary = _options.rootBoundary,\n padding = _options.padding,\n flipVariations = _options.flipVariations,\n _options$allowedAutoP = _options.allowedAutoPlacements,\n allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n var variation = getVariation(placement);\n var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n return getVariation(placement) === variation;\n }) : basePlacements;\n var allowedPlacements = placements.filter(function (placement) {\n return allowedAutoPlacements.indexOf(placement) >= 0;\n });\n\n if (allowedPlacements.length === 0) {\n allowedPlacements = placements;\n } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n var overflows = allowedPlacements.reduce(function (acc, placement) {\n acc[placement] = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding\n })[getBasePlacement(placement)];\n return acc;\n }, {});\n return Object.keys(overflows).sort(function (a, b) {\n return overflows[a] - overflows[b];\n });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n if (getBasePlacement(placement) === auto) {\n return [];\n }\n\n var oppositePlacement = getOppositePlacement(placement);\n return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n\n if (state.modifiersData[name]._skip) {\n return;\n }\n\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n specifiedFallbackPlacements = options.fallbackPlacements,\n padding = options.padding,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n _options$flipVariatio = options.flipVariations,\n flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n allowedAutoPlacements = options.allowedAutoPlacements;\n var preferredPlacement = state.options.placement;\n var basePlacement = getBasePlacement(preferredPlacement);\n var isBasePlacement = basePlacement === preferredPlacement;\n var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n flipVariations: flipVariations,\n allowedAutoPlacements: allowedAutoPlacements\n }) : placement);\n }, []);\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var checksMap = new Map();\n var makeFallbackChecks = true;\n var firstFittingPlacement = placements[0];\n\n for (var i = 0; i < placements.length; i++) {\n var placement = placements[i];\n\n var _basePlacement = getBasePlacement(placement);\n\n var isStartVariation = getVariation(placement) === start;\n var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n var len = isVertical ? 'width' : 'height';\n var overflow = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n altBoundary: altBoundary,\n padding: padding\n });\n var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n if (referenceRect[len] > popperRect[len]) {\n mainVariationSide = getOppositePlacement(mainVariationSide);\n }\n\n var altVariationSide = getOppositePlacement(mainVariationSide);\n var checks = [];\n\n if (checkMainAxis) {\n checks.push(overflow[_basePlacement] <= 0);\n }\n\n if (checkAltAxis) {\n checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n }\n\n if (checks.every(function (check) {\n return check;\n })) {\n firstFittingPlacement = placement;\n makeFallbackChecks = false;\n break;\n }\n\n checksMap.set(placement, checks);\n }\n\n if (makeFallbackChecks) {\n // `2` may be desired in some cases – research later\n var numberOfChecks = flipVariations ? 3 : 1;\n\n var _loop = function _loop(_i) {\n var fittingPlacement = placements.find(function (placement) {\n var checks = checksMap.get(placement);\n\n if (checks) {\n return checks.slice(0, _i).every(function (check) {\n return check;\n });\n }\n });\n\n if (fittingPlacement) {\n firstFittingPlacement = fittingPlacement;\n return \"break\";\n }\n };\n\n for (var _i = numberOfChecks; _i > 0; _i--) {\n var _ret = _loop(_i);\n\n if (_ret === \"break\") break;\n }\n }\n\n if (state.placement !== firstFittingPlacement) {\n state.modifiersData[name]._skip = true;\n state.placement = firstFittingPlacement;\n state.reset = true;\n }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'flip',\n enabled: true,\n phase: 'main',\n fn: flip,\n requiresIfExists: ['offset'],\n data: {\n _skip: false\n }\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n if (preventedOffsets === void 0) {\n preventedOffsets = {\n x: 0,\n y: 0\n };\n }\n\n return {\n top: overflow.top - rect.height - preventedOffsets.y,\n right: overflow.right - rect.width + preventedOffsets.x,\n bottom: overflow.bottom - rect.height + preventedOffsets.y,\n left: overflow.left - rect.width - preventedOffsets.x\n };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n return [top, right, bottom, left].some(function (side) {\n return overflow[side] >= 0;\n });\n}\n\nfunction hide(_ref) {\n var state = _ref.state,\n name = _ref.name;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var preventedOffsets = state.modifiersData.preventOverflow;\n var referenceOverflow = detectOverflow(state, {\n elementContext: 'reference'\n });\n var popperAltOverflow = detectOverflow(state, {\n altBoundary: true\n });\n var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n state.modifiersData[name] = {\n referenceClippingOffsets: referenceClippingOffsets,\n popperEscapeOffsets: popperEscapeOffsets,\n isReferenceHidden: isReferenceHidden,\n hasPopperEscaped: hasPopperEscaped\n };\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-reference-hidden': isReferenceHidden,\n 'data-popper-escaped': hasPopperEscaped\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'hide',\n enabled: true,\n phase: 'main',\n requiresIfExists: ['preventOverflow'],\n fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n var basePlacement = getBasePlacement(placement);\n var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n placement: placement\n })) : offset,\n skidding = _ref[0],\n distance = _ref[1];\n\n skidding = skidding || 0;\n distance = (distance || 0) * invertDistance;\n return [left, right].indexOf(basePlacement) >= 0 ? {\n x: distance,\n y: skidding\n } : {\n x: skidding,\n y: distance\n };\n}\n\nfunction offset(_ref2) {\n var state = _ref2.state,\n options = _ref2.options,\n name = _ref2.name;\n var _options$offset = options.offset,\n offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n var data = placements.reduce(function (acc, placement) {\n acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n return acc;\n }, {});\n var _data$state$placement = data[state.placement],\n x = _data$state$placement.x,\n y = _data$state$placement.y;\n\n if (state.modifiersData.popperOffsets != null) {\n state.modifiersData.popperOffsets.x += x;\n state.modifiersData.popperOffsets.y += y;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'offset',\n enabled: true,\n phase: 'main',\n requires: ['popperOffsets'],\n fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n var state = _ref.state,\n name = _ref.name;\n // Offsets are the actual position the popper needs to have to be\n // properly positioned near its reference element\n // This is the most basic placement, and will be adjusted by\n // the modifiers in the next step\n state.modifiersData[name] = computeOffsets({\n reference: state.rects.reference,\n element: state.rects.popper,\n strategy: 'absolute',\n placement: state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'popperOffsets',\n enabled: true,\n phase: 'read',\n fn: popperOffsets,\n data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n padding = options.padding,\n _options$tether = options.tether,\n tether = _options$tether === void 0 ? true : _options$tether,\n _options$tetherOffset = options.tetherOffset,\n tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n var overflow = detectOverflow(state, {\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n altBoundary: altBoundary\n });\n var basePlacement = getBasePlacement(state.placement);\n var variation = getVariation(state.placement);\n var isBasePlacement = !variation;\n var mainAxis = getMainAxisFromPlacement(basePlacement);\n var altAxis = getAltAxis(mainAxis);\n var popperOffsets = state.modifiersData.popperOffsets;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n placement: state.placement\n })) : tetherOffset;\n var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n mainAxis: tetherOffsetValue,\n altAxis: tetherOffsetValue\n } : Object.assign({\n mainAxis: 0,\n altAxis: 0\n }, tetherOffsetValue);\n var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n var data = {\n x: 0,\n y: 0\n };\n\n if (!popperOffsets) {\n return;\n }\n\n if (checkMainAxis) {\n var _offsetModifierState$;\n\n var mainSide = mainAxis === 'y' ? top : left;\n var altSide = mainAxis === 'y' ? bottom : right;\n var len = mainAxis === 'y' ? 'height' : 'width';\n var offset = popperOffsets[mainAxis];\n var min = offset + overflow[mainSide];\n var max = offset - overflow[altSide];\n var additive = tether ? -popperRect[len] / 2 : 0;\n var minLen = variation === start ? referenceRect[len] : popperRect[len];\n var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n // outside the reference bounds\n\n var arrowElement = state.elements.arrow;\n var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n width: 0,\n height: 0\n };\n var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n var arrowPaddingMin = arrowPaddingObject[mainSide];\n var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n // to include its full size in the calculation. If the reference is small\n // and near the edge of a boundary, the popper can overflow even if the\n // reference is not overflowing as well (e.g. virtual elements with no\n // width or height)\n\n var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n var tetherMax = offset + maxOffset - offsetModifierValue;\n var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n popperOffsets[mainAxis] = preventedOffset;\n data[mainAxis] = preventedOffset - offset;\n }\n\n if (checkAltAxis) {\n var _offsetModifierState$2;\n\n var _mainSide = mainAxis === 'x' ? top : left;\n\n var _altSide = mainAxis === 'x' ? bottom : right;\n\n var _offset = popperOffsets[altAxis];\n\n var _len = altAxis === 'y' ? 'height' : 'width';\n\n var _min = _offset + overflow[_mainSide];\n\n var _max = _offset - overflow[_altSide];\n\n var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n popperOffsets[altAxis] = _preventedOffset;\n data[altAxis] = _preventedOffset - _offset;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'preventOverflow',\n enabled: true,\n phase: 'main',\n fn: preventOverflow,\n requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n var rect = element.getBoundingClientRect();\n var scaleX = round(rect.width) / element.offsetWidth || 1;\n var scaleY = round(rect.height) / element.offsetHeight || 1;\n return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n if (isFixed === void 0) {\n isFixed = false;\n }\n\n var isOffsetParentAnElement = isHTMLElement(offsetParent);\n var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n var documentElement = getDocumentElement(offsetParent);\n var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n var scroll = {\n scrollLeft: 0,\n scrollTop: 0\n };\n var offsets = {\n x: 0,\n y: 0\n };\n\n if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n isScrollParent(documentElement)) {\n scroll = getNodeScroll(offsetParent);\n }\n\n if (isHTMLElement(offsetParent)) {\n offsets = getBoundingClientRect(offsetParent, true);\n offsets.x += offsetParent.clientLeft;\n offsets.y += offsetParent.clientTop;\n } else if (documentElement) {\n offsets.x = getWindowScrollBarX(documentElement);\n }\n }\n\n return {\n x: rect.left + scroll.scrollLeft - offsets.x,\n y: rect.top + scroll.scrollTop - offsets.y,\n width: rect.width,\n height: rect.height\n };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n if (node === getWindow(node) || !isHTMLElement(node)) {\n return getWindowScroll(node);\n } else {\n return getHTMLElementScroll(node);\n }\n}","export default function getHTMLElementScroll(element) {\n return {\n scrollLeft: element.scrollLeft,\n scrollTop: element.scrollTop\n };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n var map = new Map();\n var visited = new Set();\n var result = [];\n modifiers.forEach(function (modifier) {\n map.set(modifier.name, modifier);\n }); // On visiting object, check for its dependencies and visit them recursively\n\n function sort(modifier) {\n visited.add(modifier.name);\n var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n requires.forEach(function (dep) {\n if (!visited.has(dep)) {\n var depModifier = map.get(dep);\n\n if (depModifier) {\n sort(depModifier);\n }\n }\n });\n result.push(modifier);\n }\n\n modifiers.forEach(function (modifier) {\n if (!visited.has(modifier.name)) {\n // check for visited object\n sort(modifier);\n }\n });\n return result;\n}\n\nexport default function orderModifiers(modifiers) {\n // order based on dependencies\n var orderedModifiers = order(modifiers); // order based on phase\n\n return modifierPhases.reduce(function (acc, phase) {\n return acc.concat(orderedModifiers.filter(function (modifier) {\n return modifier.phase === phase;\n }));\n }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n placement: 'bottom',\n modifiers: [],\n strategy: 'absolute'\n};\n\nfunction areValidElements() {\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n return !args.some(function (element) {\n return !(element && typeof element.getBoundingClientRect === 'function');\n });\n}\n\nexport function popperGenerator(generatorOptions) {\n if (generatorOptions === void 0) {\n generatorOptions = {};\n }\n\n var _generatorOptions = generatorOptions,\n _generatorOptions$def = _generatorOptions.defaultModifiers,\n defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n _generatorOptions$def2 = _generatorOptions.defaultOptions,\n defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n return function createPopper(reference, popper, options) {\n if (options === void 0) {\n options = defaultOptions;\n }\n\n var state = {\n placement: 'bottom',\n orderedModifiers: [],\n options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n modifiersData: {},\n elements: {\n reference: reference,\n popper: popper\n },\n attributes: {},\n styles: {}\n };\n var effectCleanupFns = [];\n var isDestroyed = false;\n var instance = {\n state: state,\n setOptions: function setOptions(setOptionsAction) {\n var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n cleanupModifierEffects();\n state.options = Object.assign({}, defaultOptions, state.options, options);\n state.scrollParents = {\n reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n popper: listScrollParents(popper)\n }; // Orders the modifiers based on their dependencies and `phase`\n // properties\n\n var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n state.orderedModifiers = orderedModifiers.filter(function (m) {\n return m.enabled;\n });\n runModifierEffects();\n return instance.update();\n },\n // Sync update – it will always be executed, even if not necessary. This\n // is useful for low frequency updates where sync behavior simplifies the\n // logic.\n // For high frequency updates (e.g. `resize` and `scroll` events), always\n // prefer the async Popper#update method\n forceUpdate: function forceUpdate() {\n if (isDestroyed) {\n return;\n }\n\n var _state$elements = state.elements,\n reference = _state$elements.reference,\n popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n // anymore\n\n if (!areValidElements(reference, popper)) {\n return;\n } // Store the reference and popper rects to be read by modifiers\n\n\n state.rects = {\n reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n popper: getLayoutRect(popper)\n }; // Modifiers have the ability to reset the current update cycle. The\n // most common use case for this is the `flip` modifier changing the\n // placement, which then needs to re-run all the modifiers, because the\n // logic was previously ran for the previous placement and is therefore\n // stale/incorrect\n\n state.reset = false;\n state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n // is filled with the initial data specified by the modifier. This means\n // it doesn't persist and is fresh on each update.\n // To ensure persistent data, use `${name}#persistent`\n\n state.orderedModifiers.forEach(function (modifier) {\n return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n });\n\n for (var index = 0; index < state.orderedModifiers.length; index++) {\n if (state.reset === true) {\n state.reset = false;\n index = -1;\n continue;\n }\n\n var _state$orderedModifie = state.orderedModifiers[index],\n fn = _state$orderedModifie.fn,\n _state$orderedModifie2 = _state$orderedModifie.options,\n _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n name = _state$orderedModifie.name;\n\n if (typeof fn === 'function') {\n state = fn({\n state: state,\n options: _options,\n name: name,\n instance: instance\n }) || state;\n }\n }\n },\n // Async and optimistically optimized update – it will not be executed if\n // not necessary (debounced to run at most once-per-tick)\n update: debounce(function () {\n return new Promise(function (resolve) {\n instance.forceUpdate();\n resolve(state);\n });\n }),\n destroy: function destroy() {\n cleanupModifierEffects();\n isDestroyed = true;\n }\n };\n\n if (!areValidElements(reference, popper)) {\n return instance;\n }\n\n instance.setOptions(options).then(function (state) {\n if (!isDestroyed && options.onFirstUpdate) {\n options.onFirstUpdate(state);\n }\n }); // Modifiers have the ability to execute arbitrary code before the first\n // update cycle runs. They will be executed in the same order as the update\n // cycle. This is useful when a modifier adds some persistent data that\n // other modifiers need to use, but the modifier is run after the dependent\n // one.\n\n function runModifierEffects() {\n state.orderedModifiers.forEach(function (_ref) {\n var name = _ref.name,\n _ref$options = _ref.options,\n options = _ref$options === void 0 ? {} : _ref$options,\n effect = _ref.effect;\n\n if (typeof effect === 'function') {\n var cleanupFn = effect({\n state: state,\n name: name,\n instance: instance,\n options: options\n });\n\n var noopFn = function noopFn() {};\n\n effectCleanupFns.push(cleanupFn || noopFn);\n }\n });\n }\n\n function cleanupModifierEffects() {\n effectCleanupFns.forEach(function (fn) {\n return fn();\n });\n effectCleanupFns = [];\n }\n\n return instance;\n };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n var pending;\n return function () {\n if (!pending) {\n pending = new Promise(function (resolve) {\n Promise.resolve().then(function () {\n pending = undefined;\n resolve(fn());\n });\n });\n }\n\n return pending;\n };\n}","export default function mergeByName(modifiers) {\n var merged = modifiers.reduce(function (merged, current) {\n var existing = merged[current.name];\n merged[current.name] = existing ? Object.assign({}, existing, current, {\n options: Object.assign({}, existing.options, current.options),\n data: Object.assign({}, existing.data, current.data)\n }) : current;\n return merged;\n }, {}); // IE11 does not support Object.values\n\n return Object.keys(merged).map(function (key) {\n return merged[key];\n });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n execute,\n getElement,\n getNextActiveElement,\n isDisabled,\n isElement,\n isRTL,\n isVisible,\n noop\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center'\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)'\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE}.${CLASS_NAME_SHOW}`\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR = '.navbar'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\nconst PLACEMENT_TOPCENTER = 'top'\nconst PLACEMENT_BOTTOMCENTER = 'bottom'\n\nconst Default = {\n autoClose: true,\n boundary: 'clippingParents',\n display: 'dynamic',\n offset: [0, 2],\n popperConfig: null,\n reference: 'toggle'\n}\n\nconst DefaultType = {\n autoClose: '(boolean|string)',\n boundary: '(string|element)',\n display: 'string',\n offset: '(array|string|function)',\n popperConfig: '(null|object|function)',\n reference: '(string|element|object)'\n}\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._popper = null\n this._parent = this._element.parentNode // dropdown wrapper\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] ||\n SelectorEngine.prev(this._element, SELECTOR_MENU)[0] ||\n SelectorEngine.findOne(SELECTOR_MENU, this._parent)\n this._inNavbar = this._detectNavbar()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n return this._isShown() ? this.hide() : this.show()\n }\n\n show() {\n if (isDisabled(this._element) || this._isShown()) {\n return\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._createPopper()\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop)\n }\n }\n\n this._element.focus()\n this._element.setAttribute('aria-expanded', true)\n\n this._menu.classList.add(CLASS_NAME_SHOW)\n this._element.classList.add(CLASS_NAME_SHOW)\n EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n }\n\n hide() {\n if (isDisabled(this._element) || !this._isShown()) {\n return\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n }\n\n this._completeHide(relatedTarget)\n }\n\n dispose() {\n if (this._popper) {\n this._popper.destroy()\n }\n\n super.dispose()\n }\n\n update() {\n this._inNavbar = this._detectNavbar()\n if (this._popper) {\n this._popper.update()\n }\n }\n\n // Private\n _completeHide(relatedTarget) {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop)\n }\n }\n\n if (this._popper) {\n this._popper.destroy()\n }\n\n this._menu.classList.remove(CLASS_NAME_SHOW)\n this._element.classList.remove(CLASS_NAME_SHOW)\n this._element.setAttribute('aria-expanded', 'false')\n Manipulator.removeDataAttribute(this._menu, 'popper')\n EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n }\n\n _getConfig(config) {\n config = super._getConfig(config)\n\n if (typeof config.reference === 'object' && !isElement(config.reference) &&\n typeof config.reference.getBoundingClientRect !== 'function'\n ) {\n // Popper virtual elements require a getBoundingClientRect method\n throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n }\n\n return config\n }\n\n _createPopper() {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n }\n\n let referenceElement = this._element\n\n if (this._config.reference === 'parent') {\n referenceElement = this._parent\n } else if (isElement(this._config.reference)) {\n referenceElement = getElement(this._config.reference)\n } else if (typeof this._config.reference === 'object') {\n referenceElement = this._config.reference\n }\n\n const popperConfig = this._getPopperConfig()\n this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n }\n\n _isShown() {\n return this._menu.classList.contains(CLASS_NAME_SHOW)\n }\n\n _getPlacement() {\n const parentDropdown = this._parent\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n return PLACEMENT_RIGHT\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n return PLACEMENT_LEFT\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n return PLACEMENT_TOPCENTER\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n return PLACEMENT_BOTTOMCENTER\n }\n\n // We need to trim the value because custom properties can also include spaces\n const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n }\n\n return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n }\n\n _detectNavbar() {\n return this._element.closest(SELECTOR_NAVBAR) !== null\n }\n\n _getOffset() {\n const { offset } = this._config\n\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10))\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element)\n }\n\n return offset\n }\n\n _getPopperConfig() {\n const defaultBsPopperConfig = {\n placement: this._getPlacement(),\n modifiers: [{\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n },\n {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }]\n }\n\n // Disable Popper if we have a static display or Dropdown is in Navbar\n if (this._inNavbar || this._config.display === 'static') {\n Manipulator.setDataAttribute(this._menu, 'popper', 'static') // TODO: v6 remove\n defaultBsPopperConfig.modifiers = [{\n name: 'applyStyles',\n enabled: false\n }]\n }\n\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n }\n }\n\n _selectMenuItem({ key, target }) {\n const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element))\n\n if (!items.length) {\n return\n }\n\n // if target isn't included in items (e.g. when expanding the dropdown)\n // allow cycling to get the last item in case key equals ARROW_UP_KEY\n getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Dropdown.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n\n static clearMenus(event) {\n if (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY)) {\n return\n }\n\n const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN)\n\n for (const toggle of openToggles) {\n const context = Dropdown.getInstance(toggle)\n if (!context || context._config.autoClose === false) {\n continue\n }\n\n const composedPath = event.composedPath()\n const isMenuTarget = composedPath.includes(context._menu)\n if (\n composedPath.includes(context._element) ||\n (context._config.autoClose === 'inside' && !isMenuTarget) ||\n (context._config.autoClose === 'outside' && isMenuTarget)\n ) {\n continue\n }\n\n // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n continue\n }\n\n const relatedTarget = { relatedTarget: context._element }\n\n if (event.type === 'click') {\n relatedTarget.clickEvent = event\n }\n\n context._completeHide(relatedTarget)\n }\n }\n\n static dataApiKeydownHandler(event) {\n // If not an UP | DOWN | ESCAPE key => not a dropdown command\n // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n const isInput = /input|textarea/i.test(event.target.tagName)\n const isEscapeEvent = event.key === ESCAPE_KEY\n const isUpOrDownEvent = [ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)\n\n if (!isUpOrDownEvent && !isEscapeEvent) {\n return\n }\n\n if (isInput && !isEscapeEvent) {\n return\n }\n\n event.preventDefault()\n\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE) ?\n this :\n (SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0] ||\n SelectorEngine.next(this, SELECTOR_DATA_TOGGLE)[0] ||\n SelectorEngine.findOne(SELECTOR_DATA_TOGGLE, event.delegateTarget.parentNode))\n\n const instance = Dropdown.getOrCreateInstance(getToggleButton)\n\n if (isUpOrDownEvent) {\n event.stopPropagation()\n instance.show()\n instance._selectMenuItem(event)\n return\n }\n\n if (instance._isShown()) { // else is escape and we check if it is shown\n event.stopPropagation()\n instance.hide()\n getToggleButton.focus()\n }\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n event.preventDefault()\n Dropdown.getOrCreateInstance(this).toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute, executeAfterTransition, getElement, reflow } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nconst Default = {\n className: 'modal-backdrop',\n clickCallback: null,\n isAnimated: false,\n isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n rootElement: 'body' // give the choice to place backdrop under different elements\n}\n\nconst DefaultType = {\n className: 'string',\n clickCallback: '(function|null)',\n isAnimated: 'boolean',\n isVisible: 'boolean',\n rootElement: '(element|string)'\n}\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n this._isAppended = false\n this._element = null\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n show(callback) {\n if (!this._config.isVisible) {\n execute(callback)\n return\n }\n\n this._append()\n\n const element = this._getElement()\n if (this._config.isAnimated) {\n reflow(element)\n }\n\n element.classList.add(CLASS_NAME_SHOW)\n\n this._emulateAnimation(() => {\n execute(callback)\n })\n }\n\n hide(callback) {\n if (!this._config.isVisible) {\n execute(callback)\n return\n }\n\n this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n this._emulateAnimation(() => {\n this.dispose()\n execute(callback)\n })\n }\n\n dispose() {\n if (!this._isAppended) {\n return\n }\n\n EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n this._element.remove()\n this._isAppended = false\n }\n\n // Private\n _getElement() {\n if (!this._element) {\n const backdrop = document.createElement('div')\n backdrop.className = this._config.className\n if (this._config.isAnimated) {\n backdrop.classList.add(CLASS_NAME_FADE)\n }\n\n this._element = backdrop\n }\n\n return this._element\n }\n\n _configAfterMerge(config) {\n // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n config.rootElement = getElement(config.rootElement)\n return config\n }\n\n _append() {\n if (this._isAppended) {\n return\n }\n\n const element = this._getElement()\n this._config.rootElement.append(element)\n\n EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n execute(this._config.clickCallback)\n })\n\n this._isAppended = true\n }\n\n _emulateAnimation(callback) {\n executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'focustrap'\nconst DATA_KEY = 'bs.focustrap'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY}`\n\nconst TAB_KEY = 'Tab'\nconst TAB_NAV_FORWARD = 'forward'\nconst TAB_NAV_BACKWARD = 'backward'\n\nconst Default = {\n autofocus: true,\n trapElement: null // The element to trap focus inside of\n}\n\nconst DefaultType = {\n autofocus: 'boolean',\n trapElement: 'element'\n}\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n this._isActive = false\n this._lastTabNavDirection = null\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n activate() {\n if (this._isActive) {\n return\n }\n\n if (this._config.autofocus) {\n this._config.trapElement.focus()\n }\n\n EventHandler.off(document, EVENT_KEY) // guard against infinite focus loop\n EventHandler.on(document, EVENT_FOCUSIN, event => this._handleFocusin(event))\n EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event))\n\n this._isActive = true\n }\n\n deactivate() {\n if (!this._isActive) {\n return\n }\n\n this._isActive = false\n EventHandler.off(document, EVENT_KEY)\n }\n\n // Private\n _handleFocusin(event) {\n const { trapElement } = this._config\n\n if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n return\n }\n\n const elements = SelectorEngine.focusableChildren(trapElement)\n\n if (elements.length === 0) {\n trapElement.focus()\n } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n elements[elements.length - 1].focus()\n } else {\n elements[0].focus()\n }\n }\n\n _handleKeydown(event) {\n if (event.key !== TAB_KEY) {\n return\n }\n\n this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD\n }\n}\n\nexport default FocusTrap\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\nconst PROPERTY_PADDING = 'padding-right'\nconst PROPERTY_MARGIN = 'margin-right'\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n constructor() {\n this._element = document.body\n }\n\n // Public\n getWidth() {\n // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n const documentWidth = document.documentElement.clientWidth\n return Math.abs(window.innerWidth - documentWidth)\n }\n\n hide() {\n const width = this.getWidth()\n this._disableOverFlow()\n // give padding to element to balance the hidden scrollbar width\n this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width)\n }\n\n reset() {\n this._resetElementAttributes(this._element, 'overflow')\n this._resetElementAttributes(this._element, PROPERTY_PADDING)\n this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING)\n this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN)\n }\n\n isOverflowing() {\n return this.getWidth() > 0\n }\n\n // Private\n _disableOverFlow() {\n this._saveInitialAttribute(this._element, 'overflow')\n this._element.style.overflow = 'hidden'\n }\n\n _setElementAttributes(selector, styleProperty, callback) {\n const scrollbarWidth = this.getWidth()\n const manipulationCallBack = element => {\n if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n return\n }\n\n this._saveInitialAttribute(element, styleProperty)\n const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty)\n element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`)\n }\n\n this._applyManipulationCallback(selector, manipulationCallBack)\n }\n\n _saveInitialAttribute(element, styleProperty) {\n const actualValue = element.style.getPropertyValue(styleProperty)\n if (actualValue) {\n Manipulator.setDataAttribute(element, styleProperty, actualValue)\n }\n }\n\n _resetElementAttributes(selector, styleProperty) {\n const manipulationCallBack = element => {\n const value = Manipulator.getDataAttribute(element, styleProperty)\n // We only want to remove the property if the value is `null`; the value can also be zero\n if (value === null) {\n element.style.removeProperty(styleProperty)\n return\n }\n\n Manipulator.removeDataAttribute(element, styleProperty)\n element.style.setProperty(styleProperty, value)\n }\n\n this._applyManipulationCallback(selector, manipulationCallBack)\n }\n\n _applyManipulationCallback(selector, callBack) {\n if (isElement(selector)) {\n callBack(selector)\n return\n }\n\n for (const sel of SelectorEngine.find(selector, this._element)) {\n callBack(sel)\n }\n }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport { defineJQueryPlugin, isRTL, isVisible, reflow } from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst OPEN_SELECTOR = '.modal.show'\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\n\nconst Default = {\n backdrop: true,\n focus: true,\n keyboard: true\n}\n\nconst DefaultType = {\n backdrop: '(boolean|string)',\n focus: 'boolean',\n keyboard: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n this._backdrop = this._initializeBackDrop()\n this._focustrap = this._initializeFocusTrap()\n this._isShown = false\n this._isTransitioning = false\n this._scrollBar = new ScrollBarHelper()\n\n this._addEventListeners()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget)\n }\n\n show(relatedTarget) {\n if (this._isShown || this._isTransitioning) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n relatedTarget\n })\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._isShown = true\n this._isTransitioning = true\n\n this._scrollBar.hide()\n\n document.body.classList.add(CLASS_NAME_OPEN)\n\n this._adjustDialog()\n\n this._backdrop.show(() => this._showElement(relatedTarget))\n }\n\n hide() {\n if (!this._isShown || this._isTransitioning) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n this._isShown = false\n this._isTransitioning = true\n this._focustrap.deactivate()\n\n this._element.classList.remove(CLASS_NAME_SHOW)\n\n this._queueCallback(() => this._hideModal(), this._element, this._isAnimated())\n }\n\n dispose() {\n EventHandler.off(window, EVENT_KEY)\n EventHandler.off(this._dialog, EVENT_KEY)\n\n this._backdrop.dispose()\n this._focustrap.deactivate()\n\n super.dispose()\n }\n\n handleUpdate() {\n this._adjustDialog()\n }\n\n // Private\n _initializeBackDrop() {\n return new Backdrop({\n isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value,\n isAnimated: this._isAnimated()\n })\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n })\n }\n\n _showElement(relatedTarget) {\n // try to append dynamic modal\n if (!document.body.contains(this._element)) {\n document.body.append(this._element)\n }\n\n this._element.style.display = 'block'\n this._element.removeAttribute('aria-hidden')\n this._element.setAttribute('aria-modal', true)\n this._element.setAttribute('role', 'dialog')\n this._element.scrollTop = 0\n\n const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n if (modalBody) {\n modalBody.scrollTop = 0\n }\n\n reflow(this._element)\n\n this._element.classList.add(CLASS_NAME_SHOW)\n\n const transitionComplete = () => {\n if (this._config.focus) {\n this._focustrap.activate()\n }\n\n this._isTransitioning = false\n EventHandler.trigger(this._element, EVENT_SHOWN, {\n relatedTarget\n })\n }\n\n this._queueCallback(transitionComplete, this._dialog, this._isAnimated())\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return\n }\n\n if (this._config.keyboard) {\n this.hide()\n return\n }\n\n this._triggerBackdropTransition()\n })\n\n EventHandler.on(window, EVENT_RESIZE, () => {\n if (this._isShown && !this._isTransitioning) {\n this._adjustDialog()\n }\n })\n\n EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n if (this._element !== event.target || this._element !== event2.target) {\n return\n }\n\n if (this._config.backdrop === 'static') {\n this._triggerBackdropTransition()\n return\n }\n\n if (this._config.backdrop) {\n this.hide()\n }\n })\n })\n }\n\n _hideModal() {\n this._element.style.display = 'none'\n this._element.setAttribute('aria-hidden', true)\n this._element.removeAttribute('aria-modal')\n this._element.removeAttribute('role')\n this._isTransitioning = false\n\n this._backdrop.hide(() => {\n document.body.classList.remove(CLASS_NAME_OPEN)\n this._resetAdjustments()\n this._scrollBar.reset()\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n })\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_FADE)\n }\n\n _triggerBackdropTransition() {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n const initialOverflowY = this._element.style.overflowY\n // return if the following background transition hasn't yet completed\n if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n return\n }\n\n if (!isModalOverflowing) {\n this._element.style.overflowY = 'hidden'\n }\n\n this._element.classList.add(CLASS_NAME_STATIC)\n this._queueCallback(() => {\n this._element.classList.remove(CLASS_NAME_STATIC)\n this._queueCallback(() => {\n this._element.style.overflowY = initialOverflowY\n }, this._dialog)\n }, this._dialog)\n\n this._element.focus()\n }\n\n /**\n * The following methods are used to handle overflowing modals\n */\n\n _adjustDialog() {\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n const scrollbarWidth = this._scrollBar.getWidth()\n const isBodyOverflowing = scrollbarWidth > 0\n\n if (isBodyOverflowing && !isModalOverflowing) {\n const property = isRTL() ? 'paddingLeft' : 'paddingRight'\n this._element.style[property] = `${scrollbarWidth}px`\n }\n\n if (!isBodyOverflowing && isModalOverflowing) {\n const property = isRTL() ? 'paddingRight' : 'paddingLeft'\n this._element.style[property] = `${scrollbarWidth}px`\n }\n }\n\n _resetAdjustments() {\n this._element.style.paddingLeft = ''\n this._element.style.paddingRight = ''\n }\n\n // Static\n static jQueryInterface(config, relatedTarget) {\n return this.each(function () {\n const data = Modal.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](relatedTarget)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n EventHandler.one(target, EVENT_SHOW, showEvent => {\n if (showEvent.defaultPrevented) {\n // only register focus restorer if modal will actually get shown\n return\n }\n\n EventHandler.one(target, EVENT_HIDDEN, () => {\n if (isVisible(this)) {\n this.focus()\n }\n })\n })\n\n // avoid conflict when clicking modal toggler while another one is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n if (alreadyOpen) {\n Modal.getInstance(alreadyOpen).hide()\n }\n\n const data = Modal.getOrCreateInstance(target)\n\n data.toggle(this)\n})\n\nenableDismissTrigger(Modal)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport {\n defineJQueryPlugin,\n isDisabled,\n isVisible\n} from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\nconst CLASS_NAME_HIDING = 'hiding'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\nconst Default = {\n backdrop: true,\n keyboard: true,\n scroll: false\n}\n\nconst DefaultType = {\n backdrop: '(boolean|string)',\n keyboard: 'boolean',\n scroll: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._isShown = false\n this._backdrop = this._initializeBackDrop()\n this._focustrap = this._initializeFocusTrap()\n this._addEventListeners()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget)\n }\n\n show(relatedTarget) {\n if (this._isShown) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._isShown = true\n this._backdrop.show()\n\n if (!this._config.scroll) {\n new ScrollBarHelper().hide()\n }\n\n this._element.setAttribute('aria-modal', true)\n this._element.setAttribute('role', 'dialog')\n this._element.classList.add(CLASS_NAME_SHOWING)\n\n const completeCallBack = () => {\n if (!this._config.scroll || this._config.backdrop) {\n this._focustrap.activate()\n }\n\n this._element.classList.add(CLASS_NAME_SHOW)\n this._element.classList.remove(CLASS_NAME_SHOWING)\n EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n }\n\n this._queueCallback(completeCallBack, this._element, true)\n }\n\n hide() {\n if (!this._isShown) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n this._focustrap.deactivate()\n this._element.blur()\n this._isShown = false\n this._element.classList.add(CLASS_NAME_HIDING)\n this._backdrop.hide()\n\n const completeCallback = () => {\n this._element.classList.remove(CLASS_NAME_SHOW, CLASS_NAME_HIDING)\n this._element.removeAttribute('aria-modal')\n this._element.removeAttribute('role')\n\n if (!this._config.scroll) {\n new ScrollBarHelper().reset()\n }\n\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._queueCallback(completeCallback, this._element, true)\n }\n\n dispose() {\n this._backdrop.dispose()\n this._focustrap.deactivate()\n super.dispose()\n }\n\n // Private\n _initializeBackDrop() {\n const clickCallback = () => {\n if (this._config.backdrop === 'static') {\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n return\n }\n\n this.hide()\n }\n\n // 'static' option will be translated to true, and booleans will keep their value\n const isVisible = Boolean(this._config.backdrop)\n\n return new Backdrop({\n className: CLASS_NAME_BACKDROP,\n isVisible,\n isAnimated: true,\n rootElement: this._element.parentNode,\n clickCallback: isVisible ? clickCallback : null\n })\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n })\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return\n }\n\n if (this._config.keyboard) {\n this.hide()\n return\n }\n\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n })\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Offcanvas.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n EventHandler.one(target, EVENT_HIDDEN, () => {\n // focus on trigger when it is closed\n if (isVisible(this)) {\n this.focus()\n }\n })\n\n // avoid conflict when clicking a toggler of an offcanvas, while another is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n if (alreadyOpen && alreadyOpen !== target) {\n Offcanvas.getInstance(alreadyOpen).hide()\n }\n\n const data = Offcanvas.getOrCreateInstance(target)\n data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n Offcanvas.getOrCreateInstance(selector).show()\n }\n})\n\nEventHandler.on(window, EVENT_RESIZE, () => {\n for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n if (getComputedStyle(element).position !== 'fixed') {\n Offcanvas.getOrCreateInstance(element).hide()\n }\n }\n})\n\nenableDismissTrigger(Offcanvas)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\nexport const DefaultAllowlist = {\n // Global attributes allowed on any supplied element below.\n '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n a: ['target', 'href', 'title', 'rel'],\n area: [],\n b: [],\n br: [],\n col: [],\n code: [],\n div: [],\n em: [],\n hr: [],\n h1: [],\n h2: [],\n h3: [],\n h4: [],\n h5: [],\n h6: [],\n i: [],\n img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n li: [],\n ol: [],\n p: [],\n pre: [],\n s: [],\n small: [],\n span: [],\n sub: [],\n sup: [],\n strong: [],\n u: [],\n ul: []\n}\n// js-docs-end allow-list\n\nconst uriAttributes = new Set([\n 'background',\n 'cite',\n 'href',\n 'itemtype',\n 'longdesc',\n 'poster',\n 'src',\n 'xlink:href'\n])\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n const attributeName = attribute.nodeName.toLowerCase()\n\n if (allowedAttributeList.includes(attributeName)) {\n if (uriAttributes.has(attributeName)) {\n return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue))\n }\n\n return true\n }\n\n // Check if a regular expression validates the attribute.\n return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp)\n .some(regex => regex.test(attributeName))\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n if (!unsafeHtml.length) {\n return unsafeHtml\n }\n\n if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n return sanitizeFunction(unsafeHtml)\n }\n\n const domParser = new window.DOMParser()\n const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n for (const element of elements) {\n const elementName = element.nodeName.toLowerCase()\n\n if (!Object.keys(allowList).includes(elementName)) {\n element.remove()\n continue\n }\n\n const attributeList = [].concat(...element.attributes)\n const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n for (const attribute of attributeList) {\n if (!allowedAttribute(attribute, allowedAttributes)) {\n element.removeAttribute(attribute.nodeName)\n }\n }\n }\n\n return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\nimport { DefaultAllowlist, sanitizeHtml } from './sanitizer.js'\nimport { execute, getElement, isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'TemplateFactory'\n\nconst Default = {\n allowList: DefaultAllowlist,\n content: {}, // { selector : text , selector2 : text2 , }\n extraClass: '',\n html: false,\n sanitize: true,\n sanitizeFn: null,\n template: '
'\n}\n\nconst DefaultType = {\n allowList: 'object',\n content: 'object',\n extraClass: '(string|function)',\n html: 'boolean',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n template: 'string'\n}\n\nconst DefaultContentType = {\n entry: '(string|element|function|null)',\n selector: '(string|element)'\n}\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n getContent() {\n return Object.values(this._config.content)\n .map(config => this._resolvePossibleFunction(config))\n .filter(Boolean)\n }\n\n hasContent() {\n return this.getContent().length > 0\n }\n\n changeContent(content) {\n this._checkContent(content)\n this._config.content = { ...this._config.content, ...content }\n return this\n }\n\n toHtml() {\n const templateWrapper = document.createElement('div')\n templateWrapper.innerHTML = this._maybeSanitize(this._config.template)\n\n for (const [selector, text] of Object.entries(this._config.content)) {\n this._setContent(templateWrapper, text, selector)\n }\n\n const template = templateWrapper.children[0]\n const extraClass = this._resolvePossibleFunction(this._config.extraClass)\n\n if (extraClass) {\n template.classList.add(...extraClass.split(' '))\n }\n\n return template\n }\n\n // Private\n _typeCheckConfig(config) {\n super._typeCheckConfig(config)\n this._checkContent(config.content)\n }\n\n _checkContent(arg) {\n for (const [selector, content] of Object.entries(arg)) {\n super._typeCheckConfig({ selector, entry: content }, DefaultContentType)\n }\n }\n\n _setContent(template, content, selector) {\n const templateElement = SelectorEngine.findOne(selector, template)\n\n if (!templateElement) {\n return\n }\n\n content = this._resolvePossibleFunction(content)\n\n if (!content) {\n templateElement.remove()\n return\n }\n\n if (isElement(content)) {\n this._putElementInTemplate(getElement(content), templateElement)\n return\n }\n\n if (this._config.html) {\n templateElement.innerHTML = this._maybeSanitize(content)\n return\n }\n\n templateElement.textContent = content\n }\n\n _maybeSanitize(arg) {\n return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg\n }\n\n _resolvePossibleFunction(arg) {\n return execute(arg, [this])\n }\n\n _putElementInTemplate(element, templateElement) {\n if (this._config.html) {\n templateElement.innerHTML = ''\n templateElement.append(element)\n return\n }\n\n templateElement.textContent = element.textContent\n }\n}\n\nexport default TemplateFactory\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport { defineJQueryPlugin, execute, findShadowRoot, getElement, getUID, isRTL, noop } from './util/index.js'\nimport { DefaultAllowlist } from './util/sanitizer.js'\nimport TemplateFactory from './util/template-factory.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tooltip'\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`\n\nconst EVENT_MODAL_HIDE = 'hide.bs.modal'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\nconst EVENT_HIDE = 'hide'\nconst EVENT_HIDDEN = 'hidden'\nconst EVENT_SHOW = 'show'\nconst EVENT_SHOWN = 'shown'\nconst EVENT_INSERTED = 'inserted'\nconst EVENT_CLICK = 'click'\nconst EVENT_FOCUSIN = 'focusin'\nconst EVENT_FOCUSOUT = 'focusout'\nconst EVENT_MOUSEENTER = 'mouseenter'\nconst EVENT_MOUSELEAVE = 'mouseleave'\n\nconst AttachmentMap = {\n AUTO: 'auto',\n TOP: 'top',\n RIGHT: isRTL() ? 'left' : 'right',\n BOTTOM: 'bottom',\n LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n allowList: DefaultAllowlist,\n animation: true,\n boundary: 'clippingParents',\n container: false,\n customClass: '',\n delay: 0,\n fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n html: false,\n offset: [0, 6],\n placement: 'top',\n popperConfig: null,\n sanitize: true,\n sanitizeFn: null,\n selector: false,\n template: '',\n title: '',\n trigger: 'hover focus'\n}\n\nconst DefaultType = {\n allowList: 'object',\n animation: 'boolean',\n boundary: '(string|element)',\n container: '(string|element|boolean)',\n customClass: '(string|function)',\n delay: '(number|object)',\n fallbackPlacements: 'array',\n html: 'boolean',\n offset: '(array|string|function)',\n placement: '(string|function)',\n popperConfig: '(null|object|function)',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n selector: '(string|boolean)',\n template: 'string',\n title: '(string|element|function)',\n trigger: 'string'\n}\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n constructor(element, config) {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n }\n\n super(element, config)\n\n // Private\n this._isEnabled = true\n this._timeout = 0\n this._isHovered = null\n this._activeTrigger = {}\n this._popper = null\n this._templateFactory = null\n this._newContent = null\n\n // Protected\n this.tip = null\n\n this._setListeners()\n\n if (!this._config.selector) {\n this._fixTitle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n enable() {\n this._isEnabled = true\n }\n\n disable() {\n this._isEnabled = false\n }\n\n toggleEnabled() {\n this._isEnabled = !this._isEnabled\n }\n\n toggle() {\n if (!this._isEnabled) {\n return\n }\n\n this._activeTrigger.click = !this._activeTrigger.click\n if (this._isShown()) {\n this._leave()\n return\n }\n\n this._enter()\n }\n\n dispose() {\n clearTimeout(this._timeout)\n\n EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n if (this._element.getAttribute('data-bs-original-title')) {\n this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'))\n }\n\n this._disposePopper()\n super.dispose()\n }\n\n show() {\n if (this._element.style.display === 'none') {\n throw new Error('Please use show on visible elements')\n }\n\n if (!(this._isWithContent() && this._isEnabled)) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW))\n const shadowRoot = findShadowRoot(this._element)\n const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element)\n\n if (showEvent.defaultPrevented || !isInTheDom) {\n return\n }\n\n // TODO: v6 remove this or make it optional\n this._disposePopper()\n\n const tip = this._getTipElement()\n\n this._element.setAttribute('aria-describedby', tip.getAttribute('id'))\n\n const { container } = this._config\n\n if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n container.append(tip)\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED))\n }\n\n this._popper = this._createPopper(tip)\n\n tip.classList.add(CLASS_NAME_SHOW)\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop)\n }\n }\n\n const complete = () => {\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN))\n\n if (this._isHovered === false) {\n this._leave()\n }\n\n this._isHovered = false\n }\n\n this._queueCallback(complete, this.tip, this._isAnimated())\n }\n\n hide() {\n if (!this._isShown()) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE))\n if (hideEvent.defaultPrevented) {\n return\n }\n\n const tip = this._getTipElement()\n tip.classList.remove(CLASS_NAME_SHOW)\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop)\n }\n }\n\n this._activeTrigger[TRIGGER_CLICK] = false\n this._activeTrigger[TRIGGER_FOCUS] = false\n this._activeTrigger[TRIGGER_HOVER] = false\n this._isHovered = null // it is a trick to support manual triggering\n\n const complete = () => {\n if (this._isWithActiveTrigger()) {\n return\n }\n\n if (!this._isHovered) {\n this._disposePopper()\n }\n\n this._element.removeAttribute('aria-describedby')\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN))\n }\n\n this._queueCallback(complete, this.tip, this._isAnimated())\n }\n\n update() {\n if (this._popper) {\n this._popper.update()\n }\n }\n\n // Protected\n _isWithContent() {\n return Boolean(this._getTitle())\n }\n\n _getTipElement() {\n if (!this.tip) {\n this.tip = this._createTipElement(this._newContent || this._getContentForTemplate())\n }\n\n return this.tip\n }\n\n _createTipElement(content) {\n const tip = this._getTemplateFactory(content).toHtml()\n\n // TODO: remove this check in v6\n if (!tip) {\n return null\n }\n\n tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n // TODO: v6 the following can be achieved with CSS only\n tip.classList.add(`bs-${this.constructor.NAME}-auto`)\n\n const tipId = getUID(this.constructor.NAME).toString()\n\n tip.setAttribute('id', tipId)\n\n if (this._isAnimated()) {\n tip.classList.add(CLASS_NAME_FADE)\n }\n\n return tip\n }\n\n setContent(content) {\n this._newContent = content\n if (this._isShown()) {\n this._disposePopper()\n this.show()\n }\n }\n\n _getTemplateFactory(content) {\n if (this._templateFactory) {\n this._templateFactory.changeContent(content)\n } else {\n this._templateFactory = new TemplateFactory({\n ...this._config,\n // the `content` var has to be after `this._config`\n // to override config.content in case of popover\n content,\n extraClass: this._resolvePossibleFunction(this._config.customClass)\n })\n }\n\n return this._templateFactory\n }\n\n _getContentForTemplate() {\n return {\n [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n }\n }\n\n _getTitle() {\n return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title')\n }\n\n // Private\n _initializeOnDelegatedTarget(event) {\n return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig())\n }\n\n _isAnimated() {\n return this._config.animation || (this.tip && this.tip.classList.contains(CLASS_NAME_FADE))\n }\n\n _isShown() {\n return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW)\n }\n\n _createPopper(tip) {\n const placement = execute(this._config.placement, [this, tip, this._element])\n const attachment = AttachmentMap[placement.toUpperCase()]\n return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n }\n\n _getOffset() {\n const { offset } = this._config\n\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10))\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element)\n }\n\n return offset\n }\n\n _resolvePossibleFunction(arg) {\n return execute(arg, [this._element])\n }\n\n _getPopperConfig(attachment) {\n const defaultBsPopperConfig = {\n placement: attachment,\n modifiers: [\n {\n name: 'flip',\n options: {\n fallbackPlacements: this._config.fallbackPlacements\n }\n },\n {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n },\n {\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n },\n {\n name: 'arrow',\n options: {\n element: `.${this.constructor.NAME}-arrow`\n }\n },\n {\n name: 'preSetPlacement',\n enabled: true,\n phase: 'beforeMain',\n fn: data => {\n // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n this._getTipElement().setAttribute('data-popper-placement', data.state.placement)\n }\n }\n ]\n }\n\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n }\n }\n\n _setListeners() {\n const triggers = this._config.trigger.split(' ')\n\n for (const trigger of triggers) {\n if (trigger === 'click') {\n EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK), this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context.toggle()\n })\n } else if (trigger !== TRIGGER_MANUAL) {\n const eventIn = trigger === TRIGGER_HOVER ?\n this.constructor.eventName(EVENT_MOUSEENTER) :\n this.constructor.eventName(EVENT_FOCUSIN)\n const eventOut = trigger === TRIGGER_HOVER ?\n this.constructor.eventName(EVENT_MOUSELEAVE) :\n this.constructor.eventName(EVENT_FOCUSOUT)\n\n EventHandler.on(this._element, eventIn, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true\n context._enter()\n })\n EventHandler.on(this._element, eventOut, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] =\n context._element.contains(event.relatedTarget)\n\n context._leave()\n })\n }\n }\n\n this._hideModalHandler = () => {\n if (this._element) {\n this.hide()\n }\n }\n\n EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n }\n\n _fixTitle() {\n const title = this._element.getAttribute('title')\n\n if (!title) {\n return\n }\n\n if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n this._element.setAttribute('aria-label', title)\n }\n\n this._element.setAttribute('data-bs-original-title', title) // DO NOT USE IT. Is only for backwards compatibility\n this._element.removeAttribute('title')\n }\n\n _enter() {\n if (this._isShown() || this._isHovered) {\n this._isHovered = true\n return\n }\n\n this._isHovered = true\n\n this._setTimeout(() => {\n if (this._isHovered) {\n this.show()\n }\n }, this._config.delay.show)\n }\n\n _leave() {\n if (this._isWithActiveTrigger()) {\n return\n }\n\n this._isHovered = false\n\n this._setTimeout(() => {\n if (!this._isHovered) {\n this.hide()\n }\n }, this._config.delay.hide)\n }\n\n _setTimeout(handler, timeout) {\n clearTimeout(this._timeout)\n this._timeout = setTimeout(handler, timeout)\n }\n\n _isWithActiveTrigger() {\n return Object.values(this._activeTrigger).includes(true)\n }\n\n _getConfig(config) {\n const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n for (const dataAttribute of Object.keys(dataAttributes)) {\n if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n delete dataAttributes[dataAttribute]\n }\n }\n\n config = {\n ...dataAttributes,\n ...(typeof config === 'object' && config ? config : {})\n }\n config = this._mergeConfigObj(config)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n _configAfterMerge(config) {\n config.container = config.container === false ? document.body : getElement(config.container)\n\n if (typeof config.delay === 'number') {\n config.delay = {\n show: config.delay,\n hide: config.delay\n }\n }\n\n if (typeof config.title === 'number') {\n config.title = config.title.toString()\n }\n\n if (typeof config.content === 'number') {\n config.content = config.content.toString()\n }\n\n return config\n }\n\n _getDelegateConfig() {\n const config = {}\n\n for (const [key, value] of Object.entries(this._config)) {\n if (this.constructor.Default[key] !== value) {\n config[key] = value\n }\n }\n\n config.selector = false\n config.trigger = 'manual'\n\n // In the future can be replaced with:\n // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n // `Object.fromEntries(keysWithDifferentValues)`\n return config\n }\n\n _disposePopper() {\n if (this._popper) {\n this._popper.destroy()\n this._popper = null\n }\n\n if (this.tip) {\n this.tip.remove()\n this.tip = null\n }\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tooltip.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Tooltip from './tooltip.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'popover'\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\nconst Default = {\n ...Tooltip.Default,\n content: '',\n offset: [0, 8],\n placement: 'right',\n template: '' +\n '
' +\n '' +\n '
' +\n '
',\n trigger: 'click'\n}\n\nconst DefaultType = {\n ...Tooltip.DefaultType,\n content: '(null|string|element|function)'\n}\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Overrides\n _isWithContent() {\n return this._getTitle() || this._getContent()\n }\n\n // Private\n _getContentForTemplate() {\n return {\n [SELECTOR_TITLE]: this._getTitle(),\n [SELECTOR_CONTENT]: this._getContent()\n }\n }\n\n _getContent() {\n return this._resolvePossibleFunction(this._config.content)\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Popover.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getElement, isDisabled, isVisible } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_CLICK = `click${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_TARGET_LINKS = '[href]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst Default = {\n offset: null, // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: '0px 0px -25%',\n smoothScroll: false,\n target: null,\n threshold: [0.1, 0.5, 1]\n}\n\nconst DefaultType = {\n offset: '(number|null)', // TODO v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: 'string',\n smoothScroll: 'boolean',\n target: 'element',\n threshold: 'array'\n}\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n // this._element is the observablesContainer and config.target the menu links wrapper\n this._targetLinks = new Map()\n this._observableSections = new Map()\n this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element\n this._activeTarget = null\n this._observer = null\n this._previousScrollData = {\n visibleEntryTop: 0,\n parentScrollTop: 0\n }\n this.refresh() // initialize\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n refresh() {\n this._initializeTargetsAndObservables()\n this._maybeEnableSmoothScroll()\n\n if (this._observer) {\n this._observer.disconnect()\n } else {\n this._observer = this._getNewObserver()\n }\n\n for (const section of this._observableSections.values()) {\n this._observer.observe(section)\n }\n }\n\n dispose() {\n this._observer.disconnect()\n super.dispose()\n }\n\n // Private\n _configAfterMerge(config) {\n // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n config.target = getElement(config.target) || document.body\n\n // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin\n\n if (typeof config.threshold === 'string') {\n config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value))\n }\n\n return config\n }\n\n _maybeEnableSmoothScroll() {\n if (!this._config.smoothScroll) {\n return\n }\n\n // unregister any previous listeners\n EventHandler.off(this._config.target, EVENT_CLICK)\n\n EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n const observableSection = this._observableSections.get(event.target.hash)\n if (observableSection) {\n event.preventDefault()\n const root = this._rootElement || window\n const height = observableSection.offsetTop - this._element.offsetTop\n if (root.scrollTo) {\n root.scrollTo({ top: height, behavior: 'smooth' })\n return\n }\n\n // Chrome 60 doesn't support `scrollTo`\n root.scrollTop = height\n }\n })\n }\n\n _getNewObserver() {\n const options = {\n root: this._rootElement,\n threshold: this._config.threshold,\n rootMargin: this._config.rootMargin\n }\n\n return new IntersectionObserver(entries => this._observerCallback(entries), options)\n }\n\n // The logic of selection\n _observerCallback(entries) {\n const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`)\n const activate = entry => {\n this._previousScrollData.visibleEntryTop = entry.target.offsetTop\n this._process(targetElement(entry))\n }\n\n const parentScrollTop = (this._rootElement || document.documentElement).scrollTop\n const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop\n this._previousScrollData.parentScrollTop = parentScrollTop\n\n for (const entry of entries) {\n if (!entry.isIntersecting) {\n this._activeTarget = null\n this._clearActiveClass(targetElement(entry))\n\n continue\n }\n\n const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop\n // if we are scrolling down, pick the bigger offsetTop\n if (userScrollsDown && entryIsLowerThanPrevious) {\n activate(entry)\n // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n if (!parentScrollTop) {\n return\n }\n\n continue\n }\n\n // if we are scrolling up, pick the smallest offsetTop\n if (!userScrollsDown && !entryIsLowerThanPrevious) {\n activate(entry)\n }\n }\n }\n\n _initializeTargetsAndObservables() {\n this._targetLinks = new Map()\n this._observableSections = new Map()\n\n const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target)\n\n for (const anchor of targetLinks) {\n // ensure that the anchor has an id and is not disabled\n if (!anchor.hash || isDisabled(anchor)) {\n continue\n }\n\n const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element)\n\n // ensure that the observableSection exists & is visible\n if (isVisible(observableSection)) {\n this._targetLinks.set(decodeURI(anchor.hash), anchor)\n this._observableSections.set(anchor.hash, observableSection)\n }\n }\n }\n\n _process(target) {\n if (this._activeTarget === target) {\n return\n }\n\n this._clearActiveClass(this._config.target)\n this._activeTarget = target\n target.classList.add(CLASS_NAME_ACTIVE)\n this._activateParents(target)\n\n EventHandler.trigger(this._element, EVENT_ACTIVATE, { relatedTarget: target })\n }\n\n _activateParents(target) {\n // Activate dropdown parents\n if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, target.closest(SELECTOR_DROPDOWN))\n .classList.add(CLASS_NAME_ACTIVE)\n return\n }\n\n for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n // Set triggered links parents as active\n // With both and markup a parent is the previous sibling of any nav ancestor\n for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n item.classList.add(CLASS_NAME_ACTIVE)\n }\n }\n }\n\n _clearActiveClass(parent) {\n parent.classList.remove(CLASS_NAME_ACTIVE)\n\n const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE}`, parent)\n for (const node of activeNodes) {\n node.classList.remove(CLASS_NAME_ACTIVE)\n }\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = ScrollSpy.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n ScrollSpy.getOrCreateInstance(spy)\n }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy)\n\nexport default ScrollSpy\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getNextActiveElement, isDisabled } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tab'\nconst DATA_KEY = 'bs.tab'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}`\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst HOME_KEY = 'Home'\nconst END_KEY = 'End'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_DROPDOWN = 'dropdown'\n\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu'\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = ':not(.dropdown-toggle)'\n\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]'\nconst SELECTOR_OUTER = '.nav-item, .list-group-item'\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]' // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`\n\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n constructor(element) {\n super(element)\n this._parent = this._element.closest(SELECTOR_TAB_PANEL)\n\n if (!this._parent) {\n return\n // TODO: should throw exception in v6\n // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n }\n\n // Set up initial aria attributes\n this._setInitialAttributes(this._parent, this._getChildren())\n\n EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n }\n\n // Getters\n static get NAME() {\n return NAME\n }\n\n // Public\n show() { // Shows this elem and deactivate the active sibling if exists\n const innerElem = this._element\n if (this._elemIsActive(innerElem)) {\n return\n }\n\n // Search for active tab on same parent to deactivate it\n const active = this._getActiveElem()\n\n const hideEvent = active ?\n EventHandler.trigger(active, EVENT_HIDE, { relatedTarget: innerElem }) :\n null\n\n const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW, { relatedTarget: active })\n\n if (showEvent.defaultPrevented || (hideEvent && hideEvent.defaultPrevented)) {\n return\n }\n\n this._deactivate(active, innerElem)\n this._activate(innerElem, active)\n }\n\n // Private\n _activate(element, relatedElem) {\n if (!element) {\n return\n }\n\n element.classList.add(CLASS_NAME_ACTIVE)\n\n this._activate(SelectorEngine.getElementFromSelector(element)) // Search and activate/show the proper section\n\n const complete = () => {\n if (element.getAttribute('role') !== 'tab') {\n element.classList.add(CLASS_NAME_SHOW)\n return\n }\n\n element.removeAttribute('tabindex')\n element.setAttribute('aria-selected', true)\n this._toggleDropDown(element, true)\n EventHandler.trigger(element, EVENT_SHOWN, {\n relatedTarget: relatedElem\n })\n }\n\n this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n }\n\n _deactivate(element, relatedElem) {\n if (!element) {\n return\n }\n\n element.classList.remove(CLASS_NAME_ACTIVE)\n element.blur()\n\n this._deactivate(SelectorEngine.getElementFromSelector(element)) // Search and deactivate the shown section too\n\n const complete = () => {\n if (element.getAttribute('role') !== 'tab') {\n element.classList.remove(CLASS_NAME_SHOW)\n return\n }\n\n element.setAttribute('aria-selected', false)\n element.setAttribute('tabindex', '-1')\n this._toggleDropDown(element, false)\n EventHandler.trigger(element, EVENT_HIDDEN, { relatedTarget: relatedElem })\n }\n\n this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n }\n\n _keydown(event) {\n if (!([ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key))) {\n return\n }\n\n event.stopPropagation()// stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n event.preventDefault()\n\n const children = this._getChildren().filter(element => !isDisabled(element))\n let nextActiveElement\n\n if ([HOME_KEY, END_KEY].includes(event.key)) {\n nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1]\n } else {\n const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key)\n nextActiveElement = getNextActiveElement(children, event.target, isNext, true)\n }\n\n if (nextActiveElement) {\n nextActiveElement.focus({ preventScroll: true })\n Tab.getOrCreateInstance(nextActiveElement).show()\n }\n }\n\n _getChildren() { // collection of inner elements\n return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent)\n }\n\n _getActiveElem() {\n return this._getChildren().find(child => this._elemIsActive(child)) || null\n }\n\n _setInitialAttributes(parent, children) {\n this._setAttributeIfNotExists(parent, 'role', 'tablist')\n\n for (const child of children) {\n this._setInitialAttributesOnChild(child)\n }\n }\n\n _setInitialAttributesOnChild(child) {\n child = this._getInnerElement(child)\n const isActive = this._elemIsActive(child)\n const outerElem = this._getOuterElement(child)\n child.setAttribute('aria-selected', isActive)\n\n if (outerElem !== child) {\n this._setAttributeIfNotExists(outerElem, 'role', 'presentation')\n }\n\n if (!isActive) {\n child.setAttribute('tabindex', '-1')\n }\n\n this._setAttributeIfNotExists(child, 'role', 'tab')\n\n // set attributes to the related panel too\n this._setInitialAttributesOnTargetPanel(child)\n }\n\n _setInitialAttributesOnTargetPanel(child) {\n const target = SelectorEngine.getElementFromSelector(child)\n\n if (!target) {\n return\n }\n\n this._setAttributeIfNotExists(target, 'role', 'tabpanel')\n\n if (child.id) {\n this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`)\n }\n }\n\n _toggleDropDown(element, open) {\n const outerElem = this._getOuterElement(element)\n if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n return\n }\n\n const toggle = (selector, className) => {\n const element = SelectorEngine.findOne(selector, outerElem)\n if (element) {\n element.classList.toggle(className, open)\n }\n }\n\n toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE)\n toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW)\n outerElem.setAttribute('aria-expanded', open)\n }\n\n _setAttributeIfNotExists(element, attribute, value) {\n if (!element.hasAttribute(attribute)) {\n element.setAttribute(attribute, value)\n }\n }\n\n _elemIsActive(elem) {\n return elem.classList.contains(CLASS_NAME_ACTIVE)\n }\n\n // Try to get the inner element (usually the .nav-link)\n _getInnerElement(elem) {\n return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem)\n }\n\n // Try to get the outer element (usually the .nav-item)\n _getOuterElement(elem) {\n return elem.closest(SELECTOR_OUTER) || elem\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tab.getOrCreateInstance(this)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n Tab.getOrCreateInstance(this).show()\n})\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n Tab.getOrCreateInstance(element)\n }\n})\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab)\n\nexport default Tab\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin, reflow } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'toast'\nconst DATA_KEY = 'bs.toast'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_HIDE = 'hide' // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\n\nconst DefaultType = {\n animation: 'boolean',\n autohide: 'boolean',\n delay: 'number'\n}\n\nconst Default = {\n animation: true,\n autohide: true,\n delay: 5000\n}\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._timeout = null\n this._hasMouseInteraction = false\n this._hasKeyboardInteraction = false\n this._setListeners()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n show() {\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._clearTimeout()\n\n if (this._config.animation) {\n this._element.classList.add(CLASS_NAME_FADE)\n }\n\n const complete = () => {\n this._element.classList.remove(CLASS_NAME_SHOWING)\n EventHandler.trigger(this._element, EVENT_SHOWN)\n\n this._maybeScheduleHide()\n }\n\n this._element.classList.remove(CLASS_NAME_HIDE) // @deprecated\n reflow(this._element)\n this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING)\n\n this._queueCallback(complete, this._element, this._config.animation)\n }\n\n hide() {\n if (!this.isShown()) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n const complete = () => {\n this._element.classList.add(CLASS_NAME_HIDE) // @deprecated\n this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW)\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._element.classList.add(CLASS_NAME_SHOWING)\n this._queueCallback(complete, this._element, this._config.animation)\n }\n\n dispose() {\n this._clearTimeout()\n\n if (this.isShown()) {\n this._element.classList.remove(CLASS_NAME_SHOW)\n }\n\n super.dispose()\n }\n\n isShown() {\n return this._element.classList.contains(CLASS_NAME_SHOW)\n }\n\n // Private\n\n _maybeScheduleHide() {\n if (!this._config.autohide) {\n return\n }\n\n if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n return\n }\n\n this._timeout = setTimeout(() => {\n this.hide()\n }, this._config.delay)\n }\n\n _onInteraction(event, isInteracting) {\n switch (event.type) {\n case 'mouseover':\n case 'mouseout': {\n this._hasMouseInteraction = isInteracting\n break\n }\n\n case 'focusin':\n case 'focusout': {\n this._hasKeyboardInteraction = isInteracting\n break\n }\n\n default: {\n break\n }\n }\n\n if (isInteracting) {\n this._clearTimeout()\n return\n }\n\n const nextElement = event.relatedTarget\n if (this._element === nextElement || this._element.contains(nextElement)) {\n return\n }\n\n this._maybeScheduleHide()\n }\n\n _setListeners() {\n EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true))\n EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false))\n EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true))\n EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false))\n }\n\n _clearTimeout() {\n clearTimeout(this._timeout)\n this._timeout = null\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Toast.getOrCreateInstance(this, config)\n\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast)\n\nexport default Toast\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap index.umd.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Alert from './src/alert.js'\nimport Button from './src/button.js'\nimport Carousel from './src/carousel.js'\nimport Collapse from './src/collapse.js'\nimport Dropdown from './src/dropdown.js'\nimport Modal from './src/modal.js'\nimport Offcanvas from './src/offcanvas.js'\nimport Popover from './src/popover.js'\nimport ScrollSpy from './src/scrollspy.js'\nimport Tab from './src/tab.js'\nimport Toast from './src/toast.js'\nimport Tooltip from './src/tooltip.js'\n\nexport default {\n Alert,\n Button,\n Carousel,\n Collapse,\n Dropdown,\n Modal,\n Offcanvas,\n Popover,\n ScrollSpy,\n Tab,\n Toast,\n 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\ No newline at end of file
diff --git a/dev/deps/bootstrap-5.3.1/bootstrap.min.css b/dev/deps/bootstrap-5.3.1/bootstrap.min.css
new file mode 100644
index 00000000..4c6e53e9
--- /dev/null
+++ b/dev/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -0,0 +1,5 @@
+@import url("font.css");:root{--bslib-bootstrap-version: 5;--bslib-preset-name: shiny;--bslib-preset-type: builtin}/*!
+ * Bootstrap v5.3.1 (https://getbootstrap.com/)
+ * Copyright 2011-2023 The Bootstrap Authors
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+ */:root,[data-bs-theme="light"]{--bs-blue: #007bc2;--bs-indigo: #4b00c1;--bs-purple: #74149c;--bs-pink: #bf007f;--bs-red: #c10000;--bs-orange: #f45100;--bs-yellow: #f9b928;--bs-green: #00891a;--bs-teal: #00bf7f;--bs-cyan: #03c7e8;--bs-black: #172431;--bs-white: #FCFCFC;--bs-gray: #737A82;--bs-gray-dark: #454F5A;--bs-gray-100: #E5E6E8;--bs-gray-200: #CED1D3;--bs-gray-300: #B7BBBF;--bs-gray-400: #A0A6AB;--bs-gray-500: #8A9096;--bs-gray-600: #737A82;--bs-gray-700: #5C656E;--bs-gray-800: #454F5A;--bs-gray-900: #2E3A45;--bs-default: #B7BBBF;--bs-primary: #CA225E;--bs-secondary: #404040;--bs-success: #00891a;--bs-info: #03c7e8;--bs-warning: #f9b928;--bs-danger: #c10000;--bs-light: #E5E6E8;--bs-dark: #202020;--bs-default-rgb: 183,187,191;--bs-primary-rgb: 202,34,94;--bs-secondary-rgb: 64,64,64;--bs-success-rgb: 0,137,26;--bs-info-rgb: 3,199,232;--bs-warning-rgb: 249,185,40;--bs-danger-rgb: 193,0,0;--bs-light-rgb: 229,230,232;--bs-dark-rgb: 32,32,32;--bs-primary-text-emphasis: #510e26;--bs-secondary-text-emphasis: #1a1a1a;--bs-success-text-emphasis: #00370a;--bs-info-text-emphasis: #01505d;--bs-warning-text-emphasis: #644a10;--bs-danger-text-emphasis: #4d0000;--bs-light-text-emphasis: #5C656E;--bs-dark-text-emphasis: #5C656E;--bs-primary-bg-subtle: #f4d3df;--bs-secondary-bg-subtle: #d9d9d9;--bs-success-bg-subtle: #cce7d1;--bs-info-bg-subtle: #cdf4fa;--bs-warning-bg-subtle: #fef1d4;--bs-danger-bg-subtle: #f3cccc;--bs-light-bg-subtle: #f1f1f2;--bs-dark-bg-subtle: #A0A6AB;--bs-primary-border-subtle: #eaa7bf;--bs-secondary-border-subtle: #b3b3b3;--bs-success-border-subtle: #99d0a3;--bs-info-border-subtle: #9ae9f6;--bs-warning-border-subtle: #fde3a9;--bs-danger-border-subtle: #e69999;--bs-light-border-subtle: #CED1D3;--bs-dark-border-subtle: #8A9096;--bs-white-rgb: 252,252,252;--bs-black-rgb: 23,36,49;--bs-font-sans-serif: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", "Noto Sans", "Liberation Sans", Arial, sans-serif, "Apple Color Emoji", "Segoe 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#c10000;--bs-btn-active-border-color: #c10000;--bs-btn-active-shadow: inset 0 3px 5px rgba(23,36,49,0.125);--bs-btn-disabled-color: #c10000;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #c10000;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #E5E6E8;--bs-btn-border-color: #E5E6E8;--bs-btn-hover-color: #172431;--bs-btn-hover-bg: #E5E6E8;--bs-btn-hover-border-color: #E5E6E8;--bs-btn-focus-shadow-rgb: 229,230,232;--bs-btn-active-color: #172431;--bs-btn-active-bg: #E5E6E8;--bs-btn-active-border-color: #E5E6E8;--bs-btn-active-shadow: inset 0 3px 5px rgba(23,36,49,0.125);--bs-btn-disabled-color: #E5E6E8;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #E5E6E8;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #202020;--bs-btn-border-color: #202020;--bs-btn-hover-color: #FCFCFC;--bs-btn-hover-bg: #202020;--bs-btn-hover-border-color: #202020;--bs-btn-focus-shadow-rgb: 32,32,32;--bs-btn-active-color: #FCFCFC;--bs-btn-active-bg: #202020;--bs-btn-active-border-color: #202020;--bs-btn-active-shadow: inset 0 3px 5px rgba(23,36,49,0.125);--bs-btn-disabled-color: #202020;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #202020;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #737A82;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 210,67,118;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:calc(1.275rem + .3vw);--bs-btn-border-radius: var(--bs-border-radius-lg)}@media (min-width: 1200px){.btn-lg,.btn-group-lg>.btn{--bs-btn-font-size:1.5rem}}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: .5rem;--bs-btn-font-size:1.05rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1.2rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #FCFCFC;--bs-dropdown-link-active-bg: #CA225E;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #737A82;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);clear:both;font-weight:400;color:var(--bs-dropdown-link-color);text-align:inherit;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap;background-color:transparent;border:0;border-radius:var(--bs-dropdown-item-border-radius, 0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:transparent}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:1.05rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #B7BBBF;--bs-dropdown-bg: #454F5A;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #B7BBBF;--bs-dropdown-link-hover-color: #FCFCFC;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(252,252,252,0.15);--bs-dropdown-link-active-color: #FCFCFC;--bs-dropdown-link-active-bg: #CA225E;--bs-dropdown-link-disabled-color: #8A9096;--bs-dropdown-header-color: #8A9096}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:3px}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:1.5em;padding-left:1.5em}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(202,34,94,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #FCFCFC;--bs-nav-pills-link-active-bg: #CA225E}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: .66rem;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .275rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.5rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.5rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2846,58,69,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: 3px;--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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var(--bs-navbar-hover-color);--bs-nav-link-disabled-color: var(--bs-navbar-disabled-color);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;list-style:none}.navbar-nav .nav-link.active,.navbar-nav .nav-link.show{color:var(--bs-navbar-active-color)}.navbar-nav .dropdown-menu{position:static}.navbar-text{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-navbar-color)}.navbar-text a,.navbar-text a:hover,.navbar-text a:focus{color:var(--bs-navbar-active-color)}.navbar-collapse{flex-basis:100%;-webkit-flex-basis:100%;flex-grow:1;-webkit-flex-grow:1;align-items:center;-webkit-align-items:center}.navbar-toggler{padding:var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);font-size:var(--bs-navbar-toggler-font-size);line-height:1;color:var(--bs-navbar-color);background-color:transparent;border:var(--bs-border-width) solid 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.navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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!important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 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ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%232E3A45'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23510e26'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #e591af;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(202,34,94,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: ;--bs-accordion-active-bg: }.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1.2rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23df7a9e'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23df7a9e'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1.2rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(202,34,94,0.25);--bs-pagination-active-color: #FCFCFC;--bs-pagination-active-bg: #CA225E;--bs-pagination-active-border-color: #CA225E;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:calc(1.275rem + .3vw);--bs-pagination-border-radius: var(--bs-border-radius-lg)}@media (min-width: 1200px){.pagination-lg{--bs-pagination-font-size:1.5rem}}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:1.05rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #FCFCFC;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.9rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #FCFCFC;--bs-progress-bar-bg: #CA225E;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(252,252,252,0.15) 25%, transparent 25%, transparent 50%, rgba(252,252,252,0.15) 50%, rgba(252,252,252,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #FCFCFC;--bs-list-group-active-bg: #CA225E;--bs-list-group-active-border-color: #CA225E;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #172431;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23172431'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(202,34,94,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:0;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 3rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 8px RGBA(var(--bslib-box-shadow-color-rgb), 0.1);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1.5rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: none;--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: none;position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #464646;--bs-backdrop-opacity: .5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y) * .5) calc(var(--bs-modal-header-padding-x) * .5);margin:calc(-.5 * var(--bs-modal-header-padding-y)) calc(-.5 * var(--bs-modal-header-padding-x)) calc(-.5 * var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap) * .5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap) * .5)}@media (min-width: 576px){.modal{--bs-modal-margin: 10%;--bs-modal-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media (min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media (min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media (max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media (max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media (max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media (max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media (max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: .5rem;--bs-tooltip-padding-y: .25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:1.05rem;--bs-tooltip-color: var(--bs-body-bg);--bs-tooltip-bg: var(--bs-emphasis-color);--bs-tooltip-border-radius: var(--bs-border-radius);--bs-tooltip-opacity: .9;--bs-tooltip-arrow-width: .8rem;--bs-tooltip-arrow-height: .4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:"Source Sans Pro";font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:transparent;border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow{bottom:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-top-color:var(--bs-tooltip-bg)}.bs-tooltip-end .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow{left:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-end .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow::before{right:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-right-color:var(--bs-tooltip-bg)}.bs-tooltip-bottom .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow{top:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-bottom .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow::before{bottom:-1px;border-width:0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-bottom-color:var(--bs-tooltip-bg)}.bs-tooltip-start .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow{right:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-start .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow::before{left:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) 0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-left-color:var(--bs-tooltip-bg)}.tooltip-inner{max-width:var(--bs-tooltip-max-width);padding:var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);color:var(--bs-tooltip-color);text-align:center;background-color:var(--bs-tooltip-bg);border-radius:var(--bs-tooltip-border-radius)}.popover{--bs-popover-zindex: 1070;--bs-popover-max-width: 276px;--bs-popover-font-size:1.05rem;--bs-popover-bg: var(--bs-body-bg);--bs-popover-border-width: 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#007bc2;--bslib-color-fg: #FCFCFC;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-blue{--bslib-color-fg: #007bc2;color:var(--bslib-color-fg)}.bg-indigo{--bslib-color-bg: #4b00c1;--bslib-color-fg: #FCFCFC;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-indigo{--bslib-color-fg: #4b00c1;color:var(--bslib-color-fg)}.bg-purple{--bslib-color-bg: #74149c;--bslib-color-fg: #FCFCFC;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-purple{--bslib-color-fg: #74149c;color:var(--bslib-color-fg)}.bg-pink{--bslib-color-bg: #bf007f;--bslib-color-fg: #FCFCFC;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-pink{--bslib-color-fg: #bf007f;color:var(--bslib-color-fg)}.bg-red{--bslib-color-bg: #c10000;--bslib-color-fg: #FCFCFC;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-red{--bslib-color-fg: #c10000;color:var(--bslib-color-fg)}.bg-orange{--bslib-color-bg: #f45100;--bslib-color-fg: #172431;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-orange{--bslib-color-fg: #f45100;color:var(--bslib-color-fg)}.bg-yellow{--bslib-color-bg: #f9b928;--bslib-color-fg: #172431;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-yellow{--bslib-color-fg: #f9b928;color:var(--bslib-color-fg)}.bg-green{--bslib-color-bg: #00891a;--bslib-color-fg: #FCFCFC;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-green{--bslib-color-fg: #00891a;color:var(--bslib-color-fg)}.bg-teal{--bslib-color-bg: #00bf7f;--bslib-color-fg: #172431;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-teal{--bslib-color-fg: #00bf7f;color:var(--bslib-color-fg)}.bg-cyan{--bslib-color-bg: #03c7e8;--bslib-color-fg: #172431;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-cyan{--bslib-color-fg: #03c7e8;color:var(--bslib-color-fg)}.text-default{--bslib-color-fg: #B7BBBF}.bg-default{--bslib-color-bg: 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!important}.bslib-value-box.default .value-box-showcase>svg.material-icons{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.text-info{color:#028097 !important}.bslib-value-box.text-info,.bslib-value-box.text-info.text-cyan{--bslib-color-fg: $cyan !important}.bslib-value-box.text-light{--bslib-color-fg: $gray-600 !important}.bslib-value-box.text-warning{color:#A87600 !important}.bslib-value-box.text-warning,.bslib-value-box.text-warning.text-yellow{--bslib-color-fg: $warning !important}.bslib-value-box.text-teal.text-teal{--bslib-color-fg: #008558}.modal-body,.modal-footer{padding:1.5rem}.modal-header .btn-close{align-self:start;display:flex}#shiny-modal-wrapper:has(~.modal-backdrop) .modal{backdrop-filter:blur(2px)}#shiny-notification-panel#shiny-notification-panel{position:fixed;bottom:calc(var(--bslib-spacer, 1rem) / 2);right:calc(var(--bslib-spacer, 1rem) / 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1399.98px){.container .row{justify-content:space-evenly}}@media (min-width: 1400px){body{font-size:18px}.col-md-3{margin-left:5rem}}.navbar-nav .nav-item>.nav-link{border-radius:0;padding:0.5rem}.navbar>.container{align-items:baseline;-webkit-align-items:baseline}.navbar-light .navbar-nav .active>.nav-link{background:#CED1D3;color:#2E3A45}.navbar-dark .navbar-nav .active>.nav-link{background:#454F5A;color:#FCFCFC}.navbar-dark .navbar-nav .nav-item>.nav-link:hover,.navbar-light .navbar-nav .nav-item>.nav-link:hover{background:rgba(202,34,94,0.1)}.navbar-dark input[type="search"]{border-color:#737A82;background-color:#2E3A45;color:#CED1D3}input[type="search"]{border-color:#B7BBBF;width:12rem}.headroom{will-change:transform;transition:transform 400ms ease}.headroom--pinned{transform:translateY(0%)}.headroom--unpinned{transform:translateY(-100%)}.row>main,.row>aside{margin-top:78px}html,body{scroll-padding:78px}@media (min-width: 576px){#toc{position:sticky;top:78px;max-height:calc(100vh - 78px - 1rem);overflow-y:auto}}aside h2,aside .h2{margin-top:1.5rem;font-size:1.5rem}aside .roles{color:#57616a}aside .list-unstyled li{margin-bottom:0.5rem}aside .dev-status .list-unstyled li{margin-bottom:0.1rem}@media (max-width: 575.98px){aside{margin:0.5rem;width:calc(100vw - 1rem);background-color:#E5E6E8;border-color:#B7BBBF;border-radius:0}aside h2:first-child,aside .h2:first-child{margin-top:1rem}}body{position:relative}#toc>.nav{margin-bottom:1rem}#toc>.nav a.nav-link{color:inherit;padding:0.25rem 0.5rem;margin-bottom:2px;border-radius:0;border:0 solid #B7BBBF}#toc>.nav a.nav-link:hover,#toc>.nav a.nav-link:focus{background-color:rgba(202,34,94,0.1);color:#172431}#toc>.nav a.nav-link.active{background-color:#e7e9ea;color:#172431}#toc>.nav .nav a.nav-link{margin-left:0.5rem}#toc>.nav .nav{display:none !important}#toc>.nav a.active+.nav{display:flex !important}footer{margin:1rem 0 1rem 0;font-size:.875em;border-top:1px solid #B7BBBF;background:rgba(0,0,0,0);color:#57616a;display:flex;column-gap:1rem}@media (max-width: 575.98px){footer{flex-direction:column}}@media (min-width: 576px){footer .pkgdown-footer-right{text-align:right}}footer div{flex:1 1 auto}html,body{height:100%}body>.container{min-height:100%;display:flex;flex-direction:column}body>.container .row{flex:1 0 auto}::selection{background-color:#f2d0dc}main img{max-width:100%;height:auto}main table{display:block;overflow:auto}body{font-display:fallback}.page-header{border-bottom:1px solid #B7BBBF;padding-bottom:0.5rem;margin-bottom:0.5rem;margin-top:1.5rem}dd{margin-left:1.5rem}summary{margin-bottom:0.5rem}details{margin-bottom:1rem}.html-widget{margin-bottom:1rem}a.anchor{display:none;margin-left:5px;width:Min(0.9em, 20px);height:Min(0.9em, 20px);background-image:url(../../link.svg);background-repeat:no-repeat;background-size:Min(0.9em, 20px) Min(0.9em, 20px);background-position:center center}h2:hover .anchor,.h2:hover .anchor,h3:hover .anchor,.h3:hover .anchor,h4:hover .anchor,.h4:hover .anchor,h5:hover .anchor,.h5:hover .anchor,h6:hover .anchor,.h6:hover .anchor{display:inline-block}.orcid{color:#A6CE39;margin-right:4px}.fab{font-family:"Font Awesome 5 Brands" !important}img.logo{float:right;width:100px;margin-left:30px}.template-home img.logo{width:120px}@media (max-width: 575.98px){img.logo{width:80px}}@media (min-width: 576px){.page-header{min-height:88px}.template-home .page-header{min-height:104px}}.line-block{margin-bottom:1rem}.template-reference-index dt{font-weight:normal}.template-reference-index code{word-wrap:normal}.icon{float:right}.icon img{width:40px}a.footnote-ref{cursor:pointer}.popover{width:Min(100vw, 32rem);font-size:0.9rem;box-shadow:4px 4px 8px rgba(23,36,49,0.3)}.popover-body{padding:0.75rem}.popover-body p:last-child{margin-bottom:0}.tab-content{padding:1rem}.tabset-pills .tab-content{border:solid 1px #e5e5e5}.tab-content{display:flex}.tab-content>.tab-pane{display:block;visibility:hidden;margin-right:-100%;width:100%}.tab-content>.active{visibility:visible}div.csl-entry{clear:both}.hanging-indent div.csl-entry{margin-left:2em;text-indent:-2em}div.csl-left-margin{min-width:2em;float:left}div.csl-right-inline{margin-left:2em;padding-left:1em}div.csl-indent{margin-left:2em}pre,pre code{word-wrap:normal}code{overflow-wrap:break-word}.hasCopyButton{position:relative}.btn-copy-ex{position:absolute;right:5px;top:5px;visibility:hidden}.hasCopyButton:hover button.btn-copy-ex{visibility:visible}pre{padding:1rem 0.5rem}@media (max-width: 575.98px){div>div>pre{margin-left:calc(var(--bs-gutter-x) * -.5);margin-right:calc(var(--bs-gutter-x) * -.5);border-radius:0;padding-left:1rem;padding-right:1rem}.btn-copy-ex{right:calc(var(--bs-gutter-x) * -.5 + 5px)}}code a:any-link{color:inherit;text-decoration-color:#737A82}pre code{padding:0;background:transparent}pre code .error,pre code .warning{font-weight:bolder}pre .img img,pre .r-plt img{margin:5px 0;background-color:#fff}@media print{code a:link:after,code a:visited:after{content:""}}a.sourceLine:hover{text-decoration:none}mark,.mark{background:linear-gradient(-100deg, rgba(3,199,232,0.2), rgba(3,199,232,0.7) 95%, rgba(3,199,232,0.1))}.algolia-autocomplete .aa-hint{color:#2E3A45}.algolia-autocomplete .aa-dropdown-menu{width:Max(100%, 20rem);background-color:#FCFCFC;border:1px solid var(--bs-border-color);margin-top:2px;max-height:50vh;overflow-y:auto}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion{cursor:pointer;padding:5px 4px;border-bottom:1px #CED1D3 solid;font-size:0.9rem;color:#2E3A45}.search-details{font-size:0.9rem;color:#CA225E;display:inline;font-weight:bolder}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion.aa-cursor{background-color:#f7e6ec}pre{background-color:#f1f3f5}pre code{color:#003B4F}pre code span.al{color:#AD0000}pre code span.an{color:#5E5E5E}pre code span.at{color:#657422}pre code span.bn{color:#AD0000}pre code span.cf{color:#003B4F}pre code span.ch{color:#20794D}pre code span.cn{color:#8f5902}pre code span.co{color:#5E5E5E}pre code span.cv{color:#5E5E5E;font-style:italic}pre code span.do{color:#5E5E5E;font-style:italic}pre code span.dt{color:#AD0000}pre code span.dv{color:#AD0000}pre code span.er{color:#AD0000}pre code span.fl{color:#AD0000}pre code span.fu{color:#4758AB}pre code span.im{color:#00769E}pre code span.in{color:#5E5E5E}pre code span.kw{color:#003B4F}pre code span.op{color:#5E5E5E}pre code span.ot{color:#003B4F}pre code span.pp{color:#AD0000}pre code span.sc{color:#5E5E5E}pre code span.ss{color:#20794D}pre code span.st{color:#20794D}pre code span.va{color:#111111}pre code span.vs{color:#20794D}pre code span.wa{color:#5E5E5E;font-style:italic}@media (min-width: 1400px){body{font-size:20px}}h2,.h2{font-size:calc(1.305rem + .66vw);margin-top:2.5rem}@media (min-width: 1200px){h2,.h2{font-size:1.8rem}}main .page-header+.section h2,main .page-header+.section .h2{margin-top:1rem}h3,.h3{font-size:calc(1.275rem + .3vw);margin-top:2rem}@media (min-width: 1200px){h3,.h3{font-size:1.5rem}}h4,.h4{font-size:1.2rem;font-weight:bold;margin-top:1.2rem}h1,.h1,h2,.h2,h3,.h3,h4,.h4,h5,.h5,h6,.h6{color:#3e3848}h2,.h2,h3,.h3,h4,.h4,h5,.h5,h6,.h6{margin-bottom:1rem}.page-header{border-bottom:none;min-height:0;margin-bottom:2rem}.page-header h1,.page-header .h1{margin-top:3rem}.template-home .page-header{display:flex;gap:1rem;align-items:center;min-height:0;margin:2rem 0;padding:2rem 0;border-bottom:1px solid #efefef}.template-home .page-header h1,.template-home .page-header .h1{margin-top:0rem}@media (max-width: 575.98px){.template-home .page-header{margin:0.5rem 0;padding:0.5rem 0}}.template-home img.logo{margin-left:0}@media (max-width: 575.98px){.template-home img.logo{width:100px}}nav.navbar{border-bottom:1px solid #efefef;background-color:#f9f9f9;padding:1rem 0}.navbar-light .navbar-nav .active>.nav-link{background:transparent;font-weight:600;color:#444}.navbar-light .navbar-nav .nav-item>.nav-link:hover{background:transparent;text-decoration:underline}.dropdown-menu{box-shadow:0 2px 5px 0 rgba(120,120,120,0.1)}.dropdown-item:hover,.dropdown-item:focus{background:#FCFCFC;text-decoration:underline}@media (min-width: 576px){#toc{top:calc(78px + 2rem)}}.row>aside{margin-top:calc(2rem + 78px)}aside{border-left:1px solid #efefef;margin-bottom:2rem;line-height:1.4}aside h2,aside .h2{font-size:1rem;text-transform:uppercase;margin-bottom:0.75rem;margin-top:2rem;font-weight:bold;letter-spacing:0.15rem;color:#454F5A}aside div:first-child h2,aside div:first-child .h2{margin-top:0}aside nav:first-child h2,aside nav:first-child .h2{margin-top:0}aside .list-unstyled li{margin-bottom:0.5rem}@media (max-width: 575.98px){aside{margin:1rem 0 0 0;padding:2rem 1rem 1rem 1rem;background-color:#f9f9f9;width:100vw;border-top:1px solid #efefef}}#toc .nav a.nav-link{color:inherit;padding:0.25rem 0}#toc .nav a.nav-link:hover,#toc .nav a.nav-link:focus{text-decoration:underline}#toc .nav a.nav-link.active{color:#444;font-weight:600}#toc .nav a.nav-link:hover,#toc .nav a.nav-link:focus,#toc .nav a.nav-link.active{background-color:#FCFCFC}footer{margin-top:auto;margin-bottom:0;border-top:1px solid #efefef;padding:2rem 0}footer p{margin-bottom:0}footer .container{display:flex}@media (max-width: 575.98px){footer .container{flex-direction:column;row-gap:1rem}}main{margin-bottom:5rem}@media (max-width: 575.98px){main{margin-bottom:0}}body{min-height:0;height:100%;display:flex;flex-direction:column}body>.container{min-height:0;flex-shrink:0}pre,code{border:none;background-image:linear-gradient(-160deg, #f8f8f8 0, #f1f1f1 100%)}pre code{background:transparent}pre{font-size:0.81em}h1 code,.h1 code,h2 code,.h2 code,h3 code,.h3 code,h4 code,.h4 code,h5 code,.h5 code,h6 code,.h6 code{background:transparent;padding:0}code{border-radius:3px}ol,ul{padding-left:1.5rem}ul{list-style-type:disc}main li{margin-bottom:0.25rem}main li li{margin-bottom:0}main ul ul,main ol ol,main ul ol,main ol ul{margin:0.5rem 0}mark,.mark{background:linear-gradient(-135deg, rgba(237,187,205,0.2), rgba(237,187,205,0.7) 95%, rgba(237,187,205,0.1))}
diff --git a/dev/deps/bootstrap-5.3.1/font.css b/dev/deps/bootstrap-5.3.1/font.css
new file mode 100644
index 00000000..b74f3e13
--- /dev/null
+++ b/dev/deps/bootstrap-5.3.1/font.css
@@ -0,0 +1,124 @@
+@font-face {
+ font-family: 'Open Sans';
+ font-style: italic;
+ font-weight: 300;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkaVQ.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: italic;
+ font-weight: 400;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkaVQ.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: italic;
+ font-weight: 500;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk_RkaVQ.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: italic;
+ font-weight: 600;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkxhjaVQ.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: italic;
+ font-weight: 700;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjaVQ.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: italic;
+ font-weight: 800;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk0ZjaVQ.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: normal;
+ font-weight: 300;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0C4k.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: normal;
+ font-weight: 400;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0C4k.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: normal;
+ font-weight: 500;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjr0C4k.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: normal;
+ font-weight: 600;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsgH1y4k.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: normal;
+ font-weight: 700;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1y4k.woff) format('woff');
+}
+@font-face {
+ font-family: 'Open Sans';
+ font-style: normal;
+ font-weight: 800;
+ font-stretch: normal;
+ font-display: swap;
+ src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgshZ1y4k.woff) format('woff');
+}
+@font-face {
+ font-family: 'Source Code Pro';
+ font-style: italic;
+ font-weight: 400;
+ font-display: swap;
+ src: url(fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTbI1rSg.woff) format('woff');
+}
+@font-face {
+ font-family: 'Source Code Pro';
+ font-style: italic;
+ font-weight: 600;
+ font-display: swap;
+ src: url(fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTsoprSg.woff) format('woff');
+}
+@font-face {
+ font-family: 'Source Code Pro';
+ font-style: normal;
+ font-weight: 400;
+ font-display: swap;
+ src: url(fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DMyQhM0.woff) format('woff');
+}
+@font-face {
+ font-family: 'Source Code Pro';
+ font-style: normal;
+ font-weight: 600;
+ font-display: swap;
+ src: url(fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DBKXhM0.woff) format('woff');
+}
diff --git a/dev/deps/bootstrap-5.3.1/fonts/1Ptxg8zYS_SKggPN4iEgvnHyvveLxVs9pbCIPrc.woff b/dev/deps/bootstrap-5.3.1/fonts/1Ptxg8zYS_SKggPN4iEgvnHyvveLxVs9pbCIPrc.woff
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diff --git a/dev/deps/bootstrap-5.3.1/fonts/4iCv6KVjbNBYlgoCxCvjsGyL.woff b/dev/deps/bootstrap-5.3.1/fonts/4iCv6KVjbNBYlgoCxCvjsGyL.woff
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diff --git a/dev/deps/bootstrap-5.3.1/fonts/6xK1dSBYKcSV-LCoeQqfX1RYOo3qPZ7nsDQ.woff b/dev/deps/bootstrap-5.3.1/fonts/6xK1dSBYKcSV-LCoeQqfX1RYOo3qPZ7nsDQ.woff
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diff --git a/dev/deps/data-deps.txt b/dev/deps/data-deps.txt
index fa178709..abcc1fa4 100644
--- a/dev/deps/data-deps.txt
+++ b/dev/deps/data-deps.txt
@@ -1,6 +1,6 @@
-
-
+
+
diff --git a/dev/index.html b/dev/index.html
index 4aac77c1..397283c0 100644
--- a/dev/index.html
+++ b/dev/index.html
@@ -16,8 +16,8 @@
-
-
+
+
diff --git a/dev/news/index.html b/dev/news/index.html
index 8971fa86..a381f5e3 100644
--- a/dev/news/index.html
+++ b/dev/news/index.html
@@ -1,5 +1,5 @@
-Changelog • yardstick Changelog • yardstick
@@ -67,6 +67,7 @@ roc_auc_survival() .
metric_set()
can now be used with a combination of dynamic and static survival metrics.
demographic_parity()
, equalized_odds()
, and equal_opportunity()
are new metrics for measuring model fairness. Each is implemented with the new_groupwise_metric()
constructor, a general interface for defining group-aware metrics that allows for quickly and flexibly defining fairness metrics with the problem context in mind.
+Added a print method for metrics and metric sets (#435 ).
All warnings and errors have been updated to use the cli package for increased clarity and consistency. (#456 , #457 , #458 )
diff --git a/dev/pkgdown.yml b/dev/pkgdown.yml
index 2a56c825..df7c8cf2 100644
--- a/dev/pkgdown.yml
+++ b/dev/pkgdown.yml
@@ -5,7 +5,7 @@ articles:
grouping: grouping.html
metric-types: metric-types.html
multiclass: multiclass.html
-last_built: 2023-11-19T22:14Z
+last_built: 2023-12-01T19:53Z
urls:
reference: https://yardstick.tidymodels.org/reference
article: https://yardstick.tidymodels.org/articles
diff --git a/dev/reference/accuracy.html b/dev/reference/accuracy.html
index 0a9ddfc0..b63e17a5 100644
--- a/dev/reference/accuracy.html
+++ b/dev/reference/accuracy.html
@@ -1,5 +1,5 @@
-
Accuracy — accuracy • yardstick Accuracy — accuracy • yardstick
diff --git a/dev/reference/average_precision.html b/dev/reference/average_precision.html
index 2bb6001f..8c8b5159 100644
--- a/dev/reference/average_precision.html
+++ b/dev/reference/average_precision.html
@@ -5,7 +5,7 @@
others say 1, others say undefined).
It computes a weighted average of the precision values returned from
pr_curve(), where the weights are the increase in recall from the previous
-threshold. See pr_curve() for the full curve.">Area under the precision recall curve — average_precision • yardstick Area under the precision recall curve — average_precision • yardstick Balanced accuracy — bal_accuracy • yardstick Balanced accuracy — bal_accuracy • yardstick
diff --git a/dev/reference/brier_class.html b/dev/reference/brier_class.html
index 773dbe65..81e3e0b0 100644
--- a/dev/reference/brier_class.html
+++ b/dev/reference/brier_class.html
@@ -1,5 +1,5 @@
-Brier score for classification models — brier_class • yardstick Brier score for classification models — brier_class • yardstick
diff --git a/dev/reference/brier_survival.html b/dev/reference/brier_survival.html
index bf3fc440..93ed79ad 100644
--- a/dev/reference/brier_survival.html
+++ b/dev/reference/brier_survival.html
@@ -1,6 +1,6 @@
Time-Dependent Brier score for right censored data — brier_survival • yardstick Time-Dependent Brier score for right censored data — brier_survival • yardstick Integrated Brier score for right censored data — brier_survival_integrated • yardstick Integrated Brier score for right censored data — brier_survival_integrated • yardstick Concordance correlation coefficient — ccc • yardstick Concordance correlation coefficient — ccc • yardstick
diff --git a/dev/reference/check_metric.html b/dev/reference/check_metric.html
index bde8f2ac..954905e8 100644
--- a/dev/reference/check_metric.html
+++ b/dev/reference/check_metric.html
@@ -3,7 +3,7 @@
are useful alongside metric-summarizers for implementing new custom
metrics. metric-summarizers call the metric function inside
dplyr::summarise(). These functions perform checks on the inputs in
-accordance with the type of metric that is used.">Developer function for checking inputs in new metrics — check_metric • yardstick Developer function for checking inputs in new metrics — check_metric • yardstick Costs function for poor classification — classification_cost • yardstick Costs function for poor classification — classification_cost • yardstick Concordance index for right-censored data — concordance_survival • yardstick Concordance index for right-censored data — concordance_survival • yardstick
diff --git a/dev/reference/conf_mat.html b/dev/reference/conf_mat.html
index 0f1b3c0a..a8c9d428 100644
--- a/dev/reference/conf_mat.html
+++ b/dev/reference/conf_mat.html
@@ -1,5 +1,5 @@
-Confusion Matrix for Categorical Data — conf_mat • yardstick Confusion Matrix for Categorical Data — conf_mat • yardstick
diff --git a/dev/reference/demographic_parity.html b/dev/reference/demographic_parity.html
index 664aa6f6..8618b857 100644
--- a/dev/reference/demographic_parity.html
+++ b/dev/reference/demographic_parity.html
@@ -8,7 +8,7 @@
and smallest value of detection_prevalence() across groups.
Demographic parity is sometimes referred to as group fairness,
disparate impact, or statistical parity.
-See the "Measuring Disparity" section for details on implementation.">Demographic parity — demographic_parity • yardstick Demographic parity — demographic_parity • yardstick Detection prevalence — detection_prevalence • yardstick Detection prevalence — detection_prevalence • yardstick Developer helpers — developer-helpers • yardstick Developer helpers — developer-helpers • yardstick Equal opportunity — equal_opportunity • yardstick Equalized odds — equalized_odds • yardstick Equalized odds — equalized_odds • yardstick F Measure — f_meas • yardstick F Measure — f_meas • yardstick Gain capture — gain_capture • yardstick Gain capture — gain_capture • yardstick Gain curve — gain_curve • yardstick Gain curve — gain_curve • yardstick Multiclass Probability Predictions — hpc_cv • yardstick Multiclass Probability Predictions — hpc_cv • yardstick
diff --git a/dev/reference/huber_loss.html b/dev/reference/huber_loss.html
index 5c854127..3d9c3fe0 100644
--- a/dev/reference/huber_loss.html
+++ b/dev/reference/huber_loss.html
@@ -1,7 +1,7 @@
Huber loss — huber_loss • yardstick Huber loss — huber_loss • yardstick Psuedo-Huber Loss — huber_loss_pseudo • yardstick Psuedo-Huber Loss — huber_loss_pseudo • yardstick Index of ideality of correlation — iic • yardstick Function reference • yardstick Function reference • yardstick
diff --git a/dev/reference/j_index.html b/dev/reference/j_index.html
index 0145f51b..afd83bce 100644
--- a/dev/reference/j_index.html
+++ b/dev/reference/j_index.html
@@ -1,7 +1,7 @@
J-index — j_index • yardstick J-index — j_index • yardstick Kappa — kap • yardstick Kappa — kap • yardstick Lift curve — lift_curve • yardstick Lift curve — lift_curve • yardstick Survival Analysis Results — lung_surv • yardstick Survival Analysis Results — lung_surv • yardstick
diff --git a/dev/reference/mae.html b/dev/reference/mae.html
index 03dc4798..e62170f9 100644
--- a/dev/reference/mae.html
+++ b/dev/reference/mae.html
@@ -1,6 +1,6 @@
Mean absolute error — mae • yardstick Mean absolute error — mae • yardstick Mean absolute percent error — mape • yardstick Mean absolute percent error — mape • yardstick Mean absolute scaled error — mase • yardstick Mean absolute scaled error — mase • yardstick Matthews correlation coefficient — mcc • yardstick Matthews correlation coefficient — mcc • yardstick
diff --git a/dev/reference/metric-summarizers.html b/dev/reference/metric-summarizers.html
index 23de77ab..9ef6453b 100644
--- a/dev/reference/metric-summarizers.html
+++ b/dev/reference/metric-summarizers.html
@@ -6,7 +6,7 @@
yardstick_remove_missing for implementing new custom metrics. These
functions call the metric function inside dplyr::summarise() or
dplyr::reframe() for curve_metric_summarizer(). See Custom performance metrics for more
-information.">Developer function for summarizing new metrics — metric-summarizers • yardstick Developer function for summarizing new metrics — metric-summarizers • yardstick Combine metric functions — metric_set • yardstick Combine metric functions — metric_set • yardstick Developer function for summarizing new metrics — metric_summarizer • yardstick Developer function for summarizing new metrics — metric_summarizer • yardstick Tweak a metric function — metric_tweak • yardstick Developer function for calling new metrics — metric_vec_template • yardstick Developer function for calling new metrics — metric_vec_template • yardstick General Function to Estimate Performance — metrics • yardstick General Function to Estimate Performance — metrics • yardstick Mean log loss for multinomial data — mn_log_loss • yardstick Mean log loss for multinomial data — mn_log_loss • yardstick
diff --git a/dev/reference/mpe.html b/dev/reference/mpe.html
index 8f96f7ec..0ac971ca 100644
--- a/dev/reference/mpe.html
+++ b/dev/reference/mpe.html
@@ -3,7 +3,7 @@
units. It can be used as a measure of the estimate's bias.
Note that if any truth values are 0, a value of:
-Inf (estimate > 0), Inf (estimate < 0), or NaN (estimate == 0)
-is returned for mpe().">Mean percentage error — mpe • yardstick Mean percentage error — mpe • yardstick Mean signed deviation — msd • yardstick Mean signed deviation — msd • yardstick Construct a new metric function — new-metric • yardstick Create groupwise metrics — new_groupwise_metric • yardstick Create groupwise metrics — new_groupwise_metric • yardstick Negative predictive value — npv • yardstick Negative predictive value — npv • yardstick Liver Pathology Data — pathology • yardstick Liver Pathology Data — pathology • yardstick
diff --git a/dev/reference/poisson_log_loss.html b/dev/reference/poisson_log_loss.html
index 79936466..85eacb47 100644
--- a/dev/reference/poisson_log_loss.html
+++ b/dev/reference/poisson_log_loss.html
@@ -1,5 +1,5 @@
-Mean log loss for Poisson data — poisson_log_loss • yardstick Mean log loss for Poisson data — poisson_log_loss • yardstick
diff --git a/dev/reference/ppv.html b/dev/reference/ppv.html
index 6ac2229c..d4783b8c 100644
--- a/dev/reference/ppv.html
+++ b/dev/reference/ppv.html
@@ -1,7 +1,7 @@
Positive predictive value — ppv • yardstick Positive predictive value — ppv • yardstick Area under the precision recall curve — pr_auc • yardstick Area under the precision recall curve — pr_auc • yardstick Precision recall curve — pr_curve • yardstick Precision recall curve — pr_curve • yardstick Precision — precision • yardstick Precision — precision • yardstick Recall — recall • yardstick Recall — recall • yardstick Objects exported from other packages — reexports • yardstick Root mean squared error — rmse • yardstick Root mean squared error — rmse • yardstick Area under the receiver operator curve — roc_auc • yardstick Area under the receiver operator curve — roc_auc • yardstick Time-Dependent ROC AUC for Censored Data — roc_auc_survival • yardstick Time-Dependent ROC AUC for Censored Data — roc_auc_survival • yardstick Area under the ROC curve of each class against the rest, using the a priori
-class distribution — roc_aunp • yardstick Area under the ROC curve of each class against the rest, using the uniform
-class distribution — roc_aunu • yardstick Receiver operator curve — roc_curve • yardstick Receiver operator curve — roc_curve • yardstick Time-Dependent ROC surve for Censored Data — roc_curve_survival • yardstick Time-Dependent ROC surve for Censored Data — roc_curve_survival • yardstick Ratio of performance to deviation — rpd • yardstick Ratio of performance to inter-quartile — rpiq • yardstick Ratio of performance to inter-quartile — rpiq • yardstick R squared — rsq • yardstick R squared — rsq • yardstick R squared - traditional — rsq_trad • yardstick R squared - traditional — rsq_trad • yardstick Sensitivity — sens • yardstick Sensitivity — sens • yardstick Symmetric mean absolute percentage error — smape • yardstick Symmetric mean absolute percentage error — smape • yardstick Solubility Predictions from MARS Model — solubility_test • yardstick Solubility Predictions from MARS Model — solubility_test • yardstick
diff --git a/dev/reference/spec.html b/dev/reference/spec.html
index 2df21383..cc0ebc40 100644
--- a/dev/reference/spec.html
+++ b/dev/reference/spec.html
@@ -1,7 +1,7 @@
Specificity — spec • yardstick Specificity — spec • yardstick Summary Statistics for Confusion Matrices — summary.conf_mat • yardstick Summary Statistics for Confusion Matrices — summary.conf_mat • yardstick Two Class Predictions — two_class_example • yardstick Two Class Predictions — two_class_example • yardstick
diff --git a/dev/reference/yardstick-package.html b/dev/reference/yardstick-package.html
index 408d2f7a..a9f1040d 100644
--- a/dev/reference/yardstick-package.html
+++ b/dev/reference/yardstick-package.html
@@ -1,6 +1,6 @@
yardstick: Tidy Characterizations of Model Performance — yardstick-package • yardstick yardstick: Tidy Characterizations of Model Performance — yardstick-package • yardstick Developer function for handling missing values in new metrics — yardstick_remove_missing • yardstick # A tibble: 3,467 × 7 #> obs pred VF F M L Resample #> #> 1 VF VF 0.914 0.0779 0.00848 0.0000199 Fold01 #> 2 VF VF 0.938 0.0571 0.00482 0.0000101 Fold01 #> 3 VF VF 0.947 0.0495 0.00316 0.00000500 Fold01 #> 4 VF VF 0.929 0.0653 0.00579 0.0000156 Fold01 #> 5 VF VF 0.942 0.0543 0.00381 0.00000729 Fold01 #> 6 VF VF 0.951 0.0462 0.00272 0.00000384 Fold01 #> 7 VF VF 0.914 0.0782 0.00767 0.0000354 Fold01 #> 8 VF VF 0.918 0.0744 0.00726 0.0000157 Fold01 #> 9 VF VF 0.843 0.128 0.0296 0.000192 Fold01 #> 10 VF VF 0.920 0.0728 0.00703 0.0000147 Fold01 #> # ℹ 3,457 more rows set.seed(1) hpc <- tibble(hpc_cv) %>% mutate(batch = sample(c(\"a\", \"b\"), nrow(.), replace = TRUE)) %>% select(-c(VF, F, M, L)) hpc #> # A tibble: 3,467 × 4 #> obs pred Resample batch #> #> 1 VF VF Fold01 a #> 2 VF VF Fold01 b #> 3 VF VF Fold01 a #> 4 VF VF Fold01 a #> 5 VF VF Fold01 b #> 6 VF VF Fold01 a #> 7 VF VF Fold01 a #> 8 VF VF Fold01 a #> 9 VF VF Fold01 b #> 10 VF VF Fold01 b #> # ℹ 3,457 more rows hpc %>% filter(Resample == \"Fold01\") %>% accuracy(obs, pred) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 accuracy multiclass 0.726 hpc %>% group_by(Resample) %>% accuracy(obs, pred) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 accuracy multiclass 0.726 #> 2 Fold02 accuracy multiclass 0.712 #> 3 Fold03 accuracy multiclass 0.758 #> 4 Fold04 accuracy multiclass 0.712 #> 5 Fold05 accuracy multiclass 0.712 #> 6 Fold06 accuracy multiclass 0.697 #> 7 Fold07 accuracy multiclass 0.675 #> 8 Fold08 accuracy multiclass 0.721 #> 9 Fold09 accuracy multiclass 0.673 #> 10 Fold10 accuracy multiclass 0.699"},{"path":"https://yardstick.tidymodels.org/dev/articles/grouping.html","id":"groupwise-metrics","dir":"Articles","previous_headings":"","what":"Groupwise metrics","title":"Grouping behavior in yardstick","text":"Groupwise metrics associated data-column , passed data column, metric temporarily group column, compute values groups defined column, aggregate values computed temporary grouping back level input data’s grouping. concretely, let’s turn example pre-existing grouping data. Consider portion HPC data pertaining first resample: Suppose batches data represent two groups model performance differ. quantify degree model performance differs two groups, compute accuracy values either group separately, take difference. First, computing accuracies: Now, taking difference: Groupwise metrics encode group_by() aggregation step (case, subtraction) shown yardstick metric. can define new groupwise metric new_groupwise_metric() function: fn argument yardstick metric computed data group. name argument gives name new metric ’ve created; ’ll call “accuracy difference.” aggregate argument function defining go fn output group single numeric value. output, accuracy_diff, function subclass called metric_factory: accuracy_diff now knows take accuracy values group return difference accuracy first second result output. last thing need associate object name grouping variable pass group_by(); can pass variable name accuracy_diff : output, accuracy_diff_by_batch, yardstick metric function like : can use accuracy_diff_by_batch() metric way use accuracy(). : can also add accuracy_diff_by_batch() metric sets: Groupwise metrics group-aware. passed data grouping variables column passed first argument accuracy_diff()—case, group—accuracy_diff_by_batch() behave like yardstick metric. example: Groupwise metrics form backend fairness metrics tidymodels. learn groupwise metrics applications fairness problems, see new_groupwise_metric().","code":"hpc %>% filter(Resample == \"Fold01\") #> # A tibble: 347 × 4 #> obs pred Resample batch #> #> 1 VF VF Fold01 a #> 2 VF VF Fold01 b #> 3 VF VF Fold01 a #> 4 VF VF Fold01 a #> 5 VF VF Fold01 b #> 6 VF VF Fold01 a #> 7 VF VF Fold01 a #> 8 VF VF Fold01 a #> 9 VF VF Fold01 b #> 10 VF VF Fold01 b #> # ℹ 337 more rows acc_by_group <- hpc %>% filter(Resample == \"Fold01\") %>% group_by(batch) %>% accuracy(obs, pred) acc_by_group #> # A tibble: 2 × 4 #> batch .metric .estimator .estimate #> #> 1 a accuracy multiclass 0.713 #> 2 b accuracy multiclass 0.739 diff(c(acc_by_group$.estimate[2], acc_by_group$.estimate[1])) #> [1] -0.02518607 accuracy_diff <- new_groupwise_metric( fn = accuracy, name = \"accuracy_diff\", aggregate = function(acc_by_group) { diff(c(acc_by_group$.estimate[2], acc_by_group$.estimate[1])) } ) class(accuracy_diff) #> [1] \"metric_factory\" \"function\" accuracy_diff_by_batch <- accuracy_diff(batch) class(accuracy) #> [1] \"class_metric\" \"metric\" \"function\" class(accuracy_diff_by_batch) #> [1] \"class_metric\" \"metric\" \"function\" hpc %>% filter(Resample == \"Fold01\") %>% accuracy_diff_by_batch(obs, pred) #> # A tibble: 1 × 4 #> .metric .by .estimator .estimate #> #> 1 accuracy_diff batch multiclass -0.0252 acc_ms <- metric_set(accuracy, accuracy_diff_by_batch) hpc %>% filter(Resample == \"Fold01\") %>% acc_ms(truth = obs, estimate = pred) #> # A tibble: 2 × 4 #> .metric .estimator .estimate .by #> #> 1 accuracy multiclass 0.726 NA #> 2 accuracy_diff multiclass -0.0252 batch hpc %>% group_by(Resample) %>% accuracy_diff_by_batch(obs, pred) #> # A tibble: 10 × 5 #> Resample .metric .by .estimator .estimate #> #> 1 Fold01 accuracy_diff batch multiclass -0.0252 #> 2 Fold02 accuracy_diff batch multiclass 0.106 #> 3 Fold03 accuracy_diff batch multiclass 0.0220 #> 4 Fold04 accuracy_diff batch multiclass -0.000300 #> 5 Fold05 accuracy_diff batch multiclass -0.0361 #> 6 Fold06 accuracy_diff batch multiclass 0.0153 #> 7 Fold07 accuracy_diff batch multiclass -0.0323 #> 8 Fold08 accuracy_diff batch multiclass -0.0159 #> 9 Fold09 accuracy_diff batch multiclass -0.0131 #> 10 Fold10 accuracy_diff batch multiclass -0.0255"},{"path":"https://yardstick.tidymodels.org/dev/articles/metric-types.html","id":"metric-types","dir":"Articles","previous_headings":"","what":"Metric types","title":"Metric types","text":"three main metric types yardstick: class, class probability, numeric. type metric standardized argument syntax, metrics return kind output (tibble 3 columns). standardization allows metrics easily grouped together used grouped data frames computing multiple resamples . five types metrics, along types inputs take. Class metrics (hard predictions) truth - factor estimate - factor Class probability metrics (soft predictions) truth - factor estimate / ... - multiple numeric columns containing class probabilities Numeric metrics truth - numeric estimate - numeric Static survival metircs truth - Surv estimate - numeric dynamic survival metrics truth - Surv ... - list data.frames, containing 3 columns .eval_time, .pred_survival, .weight_censored`","code":""},{"path":"https://yardstick.tidymodels.org/dev/articles/metric-types.html","id":"example","dir":"Articles","previous_headings":"","what":"Example","title":"Metric types","text":"following example, hpc_cv data set used. contains class probabilities class predictions linear discriminant analysis fit HPC data set Kuhn Johnson (2013). fit 10 fold cross-validation, predictions folds included. 1 metric, 1 resample 1 metric, 10 resamples 2 metrics, 10 resamples","code":"library(yardstick) library(dplyr) data(\"hpc_cv\") hpc_cv %>% group_by(Resample) %>% slice(1:3) #> # A tibble: 30 × 7 #> # Groups: Resample [10] #> obs pred VF F M L Resample #> #> 1 VF VF 0.914 0.0779 0.00848 0.0000199 Fold01 #> 2 VF VF 0.938 0.0571 0.00482 0.0000101 Fold01 #> 3 VF VF 0.947 0.0495 0.00316 0.00000500 Fold01 #> 4 VF VF 0.941 0.0544 0.00441 0.0000123 Fold02 #> 5 VF VF 0.948 0.0483 0.00347 0.00000792 Fold02 #> 6 VF VF 0.958 0.0395 0.00236 0.00000310 Fold02 #> 7 VF VF 0.939 0.0556 0.00513 0.00000790 Fold03 #> 8 VF VF 0.928 0.0642 0.00777 0.0000148 Fold03 #> 9 VF VF 0.927 0.0653 0.00786 0.0000150 Fold03 #> 10 VF VF 0.949 0.0469 0.00398 0.00000935 Fold04 #> # ℹ 20 more rows hpc_cv %>% filter(Resample == \"Fold01\") %>% accuracy(obs, pred) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 accuracy multiclass 0.726 hpc_cv %>% group_by(Resample) %>% accuracy(obs, pred) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 accuracy multiclass 0.726 #> 2 Fold02 accuracy multiclass 0.712 #> 3 Fold03 accuracy multiclass 0.758 #> 4 Fold04 accuracy multiclass 0.712 #> 5 Fold05 accuracy multiclass 0.712 #> 6 Fold06 accuracy multiclass 0.697 #> 7 Fold07 accuracy multiclass 0.675 #> 8 Fold08 accuracy multiclass 0.721 #> 9 Fold09 accuracy multiclass 0.673 #> 10 Fold10 accuracy multiclass 0.699 class_metrics <- metric_set(accuracy, kap) hpc_cv %>% group_by(Resample) %>% class_metrics(obs, estimate = pred) #> # A tibble: 20 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 accuracy multiclass 0.726 #> 2 Fold02 accuracy multiclass 0.712 #> 3 Fold03 accuracy multiclass 0.758 #> 4 Fold04 accuracy multiclass 0.712 #> 5 Fold05 accuracy multiclass 0.712 #> 6 Fold06 accuracy multiclass 0.697 #> 7 Fold07 accuracy multiclass 0.675 #> 8 Fold08 accuracy multiclass 0.721 #> 9 Fold09 accuracy multiclass 0.673 #> 10 Fold10 accuracy multiclass 0.699 #> 11 Fold01 kap multiclass 0.533 #> 12 Fold02 kap multiclass 0.512 #> 13 Fold03 kap multiclass 0.594 #> 14 Fold04 kap multiclass 0.511 #> 15 Fold05 kap multiclass 0.514 #> 16 Fold06 kap multiclass 0.486 #> 17 Fold07 kap multiclass 0.454 #> 18 Fold08 kap multiclass 0.531 #> 19 Fold09 kap multiclass 0.454 #> 20 Fold10 kap multiclass 0.492"},{"path":"https://yardstick.tidymodels.org/dev/articles/metric-types.html","id":"metrics","dir":"Articles","previous_headings":"","what":"Metrics","title":"Metric types","text":"table metrics available yardstick, grouped type.","code":""},{"path":"https://yardstick.tidymodels.org/dev/articles/multiclass.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Multiclass averaging","text":"Classification metrics yardstick truth estimate columns factors implemented binary multiclass case. multiclass implementations use micro, macro, macro_weighted averaging applicable, metrics specialized multiclass implementations.","code":""},{"path":"https://yardstick.tidymodels.org/dev/articles/multiclass.html","id":"macro-averaging","dir":"Articles","previous_headings":"","what":"Macro averaging","title":"Multiclass averaging","text":"Macro averaging reduces multiclass predictions multiple sets binary predictions, calculates corresponding metric binary cases, averages results together. example, consider precision binary case. \\[ Pr = \\frac{TP}{TP + FP} \\] multiclass case, levels , B, C D, macro averaging reduces problem multiple one-vs-comparisons. truth estimate columns recoded two levels , precision calculated based recoded columns, “relevant” column. process repeated 3 levels get total 4 precision values. results averaged together. formula representation looks like . k classes: \\[ Pr_{macro} = \\frac{Pr_1 + Pr_2 + \\ldots + Pr_k}{k} = Pr_1 \\frac{1}{k} + Pr_2 \\frac{1}{k} + \\ldots + Pr_k \\frac{1}{k} \\] \\(PR_1\\) precision calculated recoding multiclass predictions just class 1 . Note macro averaging, classes get equal weight contributing portion precision value total (1/4). might realistic calculation large amount class imbalance. case, weighted macro average might make sense, weights calculated frequency class truth column. \\[ Pr_{weighted-macro} = Pr_1 \\frac{\\#Obs_1}{N} + Pr_2 \\frac{\\#Obs_2}{N} + \\ldots + Pr_k \\frac{\\#Obs_k}{N} \\]","code":""},{"path":"https://yardstick.tidymodels.org/dev/articles/multiclass.html","id":"micro-averaging","dir":"Articles","previous_headings":"","what":"Micro averaging","title":"Multiclass averaging","text":"Micro averaging treats entire set data aggregate result, calculates 1 metric rather k metrics get averaged together. precision, works calculating true positive results class using numerator, calculating true positive false positive results class, using denominator. \\[ Pr_{micro} = \\frac{TP_1 + TP_2 + \\ldots + TP_k}{(TP_1 + TP_2 + \\ldots + TP_k) + (FP_1 + FP_2 + \\ldots + FP_k)} \\] case, rather class equal weight, observation gets equal weight. gives classes observations power.","code":""},{"path":"https://yardstick.tidymodels.org/dev/articles/multiclass.html","id":"specialized-multiclass-implementations","dir":"Articles","previous_headings":"","what":"Specialized multiclass implementations","title":"Multiclass averaging","text":"metrics known analytical multiclass extensions, need use averaging get estimate multiclass performance. Accuracy Kappa use definitions binary counterpart, accuracy counting number correctly predicted true values total number true values, kappa linear combination two accuracy values. Matthews correlation coefficient (MCC) known multiclass generalization well, sometimes called \\(R_K\\) statistic. Refer page details. ROC AUC interesting metric intuitively makes sense perform macro averaging, computes multiclass AUC average area multiple binary ROC curves. However, loses important property ROC AUC statistic binary case insensitive class distribution. combat , multiclass metric created retains insensitivity class distribution, easy visual interpretation like macro averaging. implemented \"hand_till\" method, default metric.","code":""},{"path":"https://yardstick.tidymodels.org/dev/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Max Kuhn. Author. Davis Vaughan. Author. Emil Hvitfeldt. Author, maintainer. . Copyright holder, funder.","code":""},{"path":"https://yardstick.tidymodels.org/dev/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Kuhn M, Vaughan D, Hvitfeldt E (2023). yardstick: Tidy Characterizations Model Performance. R package version 1.2.0.9001, https://yardstick.tidymodels.org, https://github.com/tidymodels/yardstick.","code":"@Manual{, title = {yardstick: Tidy Characterizations of Model Performance}, author = {Max Kuhn and Davis Vaughan and Emil Hvitfeldt}, year = {2023}, note = {R package version 1.2.0.9001, https://yardstick.tidymodels.org}, url = {https://github.com/tidymodels/yardstick}, }"},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"Tidy Characterizations of Model Performance","text":"yardstick package estimate well models working using tidy data principles. See package webpage information.","code":""},{"path":"https://yardstick.tidymodels.org/dev/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Tidy Characterizations of Model Performance","text":"install package:","code":"install.packages(\"yardstick\") # Development version: # install.packages(\"pak\") pak::pak(\"tidymodels/yardstick\")"},{"path":"https://yardstick.tidymodels.org/dev/index.html","id":"two-class-metric","dir":"","previous_headings":"","what":"Two class metric","title":"Tidy Characterizations of Model Performance","text":"example, suppose create classification model predict new data set. might data looks like : can use dplyr-like syntax compute common performance characteristics model get back data frame:","code":"library(yardstick) library(dplyr) head(two_class_example) #> truth Class1 Class2 predicted #> 1 Class2 0.00359 0.996411 Class2 #> 2 Class1 0.67862 0.321379 Class1 #> 3 Class2 0.11089 0.889106 Class2 #> 4 Class1 0.73516 0.264838 Class1 #> 5 Class2 0.01624 0.983760 Class2 #> 6 Class1 0.99928 0.000725 Class1 metrics(two_class_example, truth, predicted) #> # A tibble: 2 × 3 #> .metric .estimator .estimate #> #> 1 accuracy binary 0.838 #> 2 kap binary 0.675 # or two_class_example %>% roc_auc(truth, Class1) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 roc_auc binary 0.939"},{"path":"https://yardstick.tidymodels.org/dev/index.html","id":"multiclass-metrics","dir":"","previous_headings":"","what":"Multiclass metrics","title":"Tidy Characterizations of Model Performance","text":"classification metrics least one multiclass extension, many multiple ways calculate multiclass metrics.","code":"data(\"hpc_cv\") hpc_cv <- as_tibble(hpc_cv) hpc_cv #> # A tibble: 3,467 × 7 #> obs pred VF F M L Resample #> #> 1 VF VF 0.914 0.0779 0.00848 0.0000199 Fold01 #> 2 VF VF 0.938 0.0571 0.00482 0.0000101 Fold01 #> 3 VF VF 0.947 0.0495 0.00316 0.00000500 Fold01 #> 4 VF VF 0.929 0.0653 0.00579 0.0000156 Fold01 #> 5 VF VF 0.942 0.0543 0.00381 0.00000729 Fold01 #> 6 VF VF 0.951 0.0462 0.00272 0.00000384 Fold01 #> 7 VF VF 0.914 0.0782 0.00767 0.0000354 Fold01 #> 8 VF VF 0.918 0.0744 0.00726 0.0000157 Fold01 #> 9 VF VF 0.843 0.128 0.0296 0.000192 Fold01 #> 10 VF VF 0.920 0.0728 0.00703 0.0000147 Fold01 #> # ℹ 3,457 more rows # Macro averaged multiclass precision precision(hpc_cv, obs, pred) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 precision macro 0.631 # Micro averaged multiclass precision precision(hpc_cv, obs, pred, estimator = \"micro\") #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 precision micro 0.709"},{"path":"https://yardstick.tidymodels.org/dev/index.html","id":"calculating-metrics-on-resamples","dir":"","previous_headings":"","what":"Calculating metrics on resamples","title":"Tidy Characterizations of Model Performance","text":"multiple resamples model, can use metric grouped data frame calculate metric across resamples . calculates multiclass ROC AUC using method described Hand, Till (2001), across 10 resamples .","code":"hpc_cv %>% group_by(Resample) %>% roc_auc(obs, VF:L) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 roc_auc hand_till 0.813 #> 2 Fold02 roc_auc hand_till 0.817 #> 3 Fold03 roc_auc hand_till 0.869 #> 4 Fold04 roc_auc hand_till 0.849 #> 5 Fold05 roc_auc hand_till 0.811 #> 6 Fold06 roc_auc hand_till 0.836 #> 7 Fold07 roc_auc hand_till 0.825 #> 8 Fold08 roc_auc hand_till 0.846 #> 9 Fold09 roc_auc hand_till 0.828 #> 10 Fold10 roc_auc hand_till 0.812"},{"path":"https://yardstick.tidymodels.org/dev/index.html","id":"autoplot-methods-for-easy-visualization","dir":"","previous_headings":"","what":"Autoplot methods for easy visualization","title":"Tidy Characterizations of Model Performance","text":"Curve based methods roc_curve(), pr_curve() gain_curve() ggplot2::autoplot() methods allow powerful easy visualization.","code":"library(ggplot2) hpc_cv %>% group_by(Resample) %>% roc_curve(obs, VF:L) %>% autoplot()"},{"path":"https://yardstick.tidymodels.org/dev/index.html","id":"contributing","dir":"","previous_headings":"","what":"Contributing","title":"Tidy Characterizations of Model Performance","text":"project released Contributor Code Conduct. contributing project, agree abide terms. questions discussions tidymodels packages, modeling, machine learning, please post RStudio Community. think encountered bug, please submit issue. Either way, learn create share reprex (minimal, reproducible example), clearly communicate code. Check details contributing guidelines tidymodels packages get help.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/accuracy.html","id":null,"dir":"Reference","previous_headings":"","what":"Accuracy — accuracy","title":"Accuracy — accuracy","text":"Accuracy proportion data predicted correctly.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/accuracy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Accuracy — accuracy","text":"","code":"accuracy(data, ...) # S3 method for data.frame accuracy(data, truth, estimate, na_rm = TRUE, case_weights = NULL, ...) accuracy_vec(truth, estimate, na_rm = TRUE, case_weights = NULL, ...)"},{"path":"https://yardstick.tidymodels.org/dev/reference/accuracy.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Accuracy — accuracy","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... currently used. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimate column identifier predicted class results (also factor). truth can specified different ways primary method use unquoted variable name. _vec() functions, factor vector. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/accuracy.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Accuracy — accuracy","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. accuracy_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/accuracy.html","id":"multiclass","dir":"Reference","previous_headings":"","what":"Multiclass","title":"Accuracy — accuracy","text":"Accuracy extends naturally multiclass scenarios. , macro micro averaging implemented.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/accuracy.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Accuracy — accuracy","text":"Max Kuhn","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/accuracy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Accuracy — accuracy","text":"","code":"library(dplyr) #> #> Attaching package: ‘dplyr’ #> The following objects are masked from ‘package:stats’: #> #> filter, lag #> The following objects are masked from ‘package:base’: #> #> intersect, setdiff, setequal, union data(\"two_class_example\") data(\"hpc_cv\") # Two class accuracy(two_class_example, truth, predicted) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 accuracy binary 0.838 # Multiclass # accuracy() has a natural multiclass extension hpc_cv %>% filter(Resample == \"Fold01\") %>% accuracy(obs, pred) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 accuracy multiclass 0.726 # Groups are respected hpc_cv %>% group_by(Resample) %>% accuracy(obs, pred) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 accuracy multiclass 0.726 #> 2 Fold02 accuracy multiclass 0.712 #> 3 Fold03 accuracy multiclass 0.758 #> 4 Fold04 accuracy multiclass 0.712 #> 5 Fold05 accuracy multiclass 0.712 #> 6 Fold06 accuracy multiclass 0.697 #> 7 Fold07 accuracy multiclass 0.675 #> 8 Fold08 accuracy multiclass 0.721 #> 9 Fold09 accuracy multiclass 0.673 #> 10 Fold10 accuracy multiclass 0.699"},{"path":"https://yardstick.tidymodels.org/dev/reference/average_precision.html","id":null,"dir":"Reference","previous_headings":"","what":"Area under the precision recall curve — average_precision","title":"Area under the precision recall curve — average_precision","text":"average_precision() alternative pr_auc() avoids ambiguity value precision recall == 0 yet false positive values (say 0, others say 1, others say undefined). computes weighted average precision values returned pr_curve(), weights increase recall previous threshold. See pr_curve() full curve.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/average_precision.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Area under the precision recall curve — average_precision","text":"","code":"average_precision(data, ...) # S3 method for data.frame average_precision( data, truth, ..., estimator = NULL, na_rm = TRUE, event_level = yardstick_event_level(), case_weights = NULL ) average_precision_vec( truth, estimate, estimator = NULL, na_rm = TRUE, event_level = yardstick_event_level(), case_weights = NULL, ... )"},{"path":"https://yardstick.tidymodels.org/dev/reference/average_precision.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Area under the precision recall curve — average_precision","text":"data data.frame containing columns specified truth .... ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimator One \"binary\", \"macro\", \"macro_weighted\" specify type averaging done. \"binary\" relevant two class case. two general methods calculating multiclass metrics. default automatically choose \"binary\" \"macro\" based truth. na_rm logical value indicating whether NA values stripped computation proceeds. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\", however, deprecated global option yardstick.event_first set, used instead warning. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/average_precision.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Area under the precision recall curve — average_precision","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. average_precision_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/average_precision.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Area under the precision recall curve — average_precision","text":"computation average precision weighted average precision values. Assuming n rows returned pr_curve(), sum 2 n, multiplying precision value p_i increase recall previous threshold, r_i - r_(-1). $$AP = \\sum (r_{} - r_{-1}) * p_i$$ summing 2 n, precision value p_1 never used. pr_curve() returns value p_1, technically undefined tp / (tp + fp) tp = 0 fp = 0. common convention use 1 p_1, metric nice property avoiding ambiguity. hand, r_1 well defined long events (p), tp / p tp = 0, r_1 = 0. p_1 defined 1, average_precision() roc_auc() values often close one another.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/average_precision.html","id":"multiclass","dir":"Reference","previous_headings":"","what":"Multiclass","title":"Area under the precision recall curve — average_precision","text":"Macro macro-weighted averaging available metric. default select macro averaging truth factor 2 levels provided. Otherwise, standard binary calculation done. See vignette(\"multiclass\", \"yardstick\") information.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/average_precision.html","id":"relevant-level","dir":"Reference","previous_headings":"","what":"Relevant Level","title":"Area under the precision recall curve — average_precision","text":"common convention factor level automatically considered \"event\" \"positive\" result computing binary classification metrics. yardstick, default use first level. alter , change argument event_level \"second\" consider last level factor level interest. multiclass extensions involving one-vs-comparisons (macro averaging), option ignored \"one\" level always relevant result.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/average_precision.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Area under the precision recall curve — average_precision","text":"","code":"# --------------------------------------------------------------------------- # Two class example # `truth` is a 2 level factor. The first level is `\"Class1\"`, which is the # \"event of interest\" by default in yardstick. See the Relevant Level # section above. data(two_class_example) # Binary metrics using class probabilities take a factor `truth` column, # and a single class probability column containing the probabilities of # the event of interest. Here, since `\"Class1\"` is the first level of # `\"truth\"`, it is the event of interest and we pass in probabilities for it. average_precision(two_class_example, truth, Class1) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 average_precision binary 0.947 # --------------------------------------------------------------------------- # Multiclass example # `obs` is a 4 level factor. The first level is `\"VF\"`, which is the # \"event of interest\" by default in yardstick. See the Relevant Level # section above. data(hpc_cv) # You can use the col1:colN tidyselect syntax library(dplyr) hpc_cv %>% filter(Resample == \"Fold01\") %>% average_precision(obs, VF:L) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 average_precision macro 0.617 # Change the first level of `obs` from `\"VF\"` to `\"M\"` to alter the # event of interest. The class probability columns should be supplied # in the same order as the levels. hpc_cv %>% filter(Resample == \"Fold01\") %>% mutate(obs = relevel(obs, \"M\")) %>% average_precision(obs, M, VF:L) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 average_precision macro 0.617 # Groups are respected hpc_cv %>% group_by(Resample) %>% average_precision(obs, VF:L) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 average_precision macro 0.617 #> 2 Fold02 average_precision macro 0.625 #> 3 Fold03 average_precision macro 0.699 #> 4 Fold04 average_precision macro 0.685 #> 5 Fold05 average_precision macro 0.625 #> 6 Fold06 average_precision macro 0.656 #> 7 Fold07 average_precision macro 0.617 #> 8 Fold08 average_precision macro 0.659 #> 9 Fold09 average_precision macro 0.632 #> 10 Fold10 average_precision macro 0.611 # Weighted macro averaging hpc_cv %>% group_by(Resample) %>% average_precision(obs, VF:L, estimator = \"macro_weighted\") #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 average_precision macro_weighted 0.750 #> 2 Fold02 average_precision macro_weighted 0.745 #> 3 Fold03 average_precision macro_weighted 0.794 #> 4 Fold04 average_precision macro_weighted 0.757 #> 5 Fold05 average_precision macro_weighted 0.740 #> 6 Fold06 average_precision macro_weighted 0.747 #> 7 Fold07 average_precision macro_weighted 0.751 #> 8 Fold08 average_precision macro_weighted 0.759 #> 9 Fold09 average_precision macro_weighted 0.714 #> 10 Fold10 average_precision macro_weighted 0.742 # Vector version # Supply a matrix of class probabilities fold1 <- hpc_cv %>% filter(Resample == \"Fold01\") average_precision_vec( truth = fold1$obs, matrix( c(fold1$VF, fold1$F, fold1$M, fold1$L), ncol = 4 ) ) #> [1] 0.6173363"},{"path":"https://yardstick.tidymodels.org/dev/reference/bal_accuracy.html","id":null,"dir":"Reference","previous_headings":"","what":"Balanced accuracy — bal_accuracy","title":"Balanced accuracy — bal_accuracy","text":"Balanced accuracy computed average sens() spec().","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/bal_accuracy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Balanced accuracy — bal_accuracy","text":"","code":"bal_accuracy(data, ...) # S3 method for data.frame bal_accuracy( data, truth, estimate, estimator = NULL, na_rm = TRUE, case_weights = NULL, event_level = yardstick_event_level(), ... ) bal_accuracy_vec( truth, estimate, estimator = NULL, na_rm = TRUE, case_weights = NULL, event_level = yardstick_event_level(), ... )"},{"path":"https://yardstick.tidymodels.org/dev/reference/bal_accuracy.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Balanced accuracy — bal_accuracy","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... currently used. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimate column identifier predicted class results (also factor). truth can specified different ways primary method use unquoted variable name. _vec() functions, factor vector. estimator One : \"binary\", \"macro\", \"macro_weighted\", \"micro\" specify type averaging done. \"binary\" relevant two class case. three general methods calculating multiclass metrics. default automatically choose \"binary\" \"macro\" based estimate. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\", however, deprecated global option yardstick.event_first set, used instead warning.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/bal_accuracy.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Balanced accuracy — bal_accuracy","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. bal_accuracy_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/bal_accuracy.html","id":"relevant-level","dir":"Reference","previous_headings":"","what":"Relevant Level","title":"Balanced accuracy — bal_accuracy","text":"common convention factor level automatically considered \"event\" \"positive\" result computing binary classification metrics. yardstick, default use first level. alter , change argument event_level \"second\" consider last level factor level interest. multiclass extensions involving one-vs-comparisons (macro averaging), option ignored \"one\" level always relevant result.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/bal_accuracy.html","id":"multiclass","dir":"Reference","previous_headings":"","what":"Multiclass","title":"Balanced accuracy — bal_accuracy","text":"Macro, micro, macro-weighted averaging available metric. default select macro averaging truth factor 2 levels provided. Otherwise, standard binary calculation done. See vignette(\"multiclass\", \"yardstick\") information.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/bal_accuracy.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Balanced accuracy — bal_accuracy","text":"Max Kuhn","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/bal_accuracy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Balanced accuracy — bal_accuracy","text":"","code":"# Two class data(\"two_class_example\") bal_accuracy(two_class_example, truth, predicted) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 bal_accuracy binary 0.837 # Multiclass library(dplyr) data(hpc_cv) hpc_cv %>% filter(Resample == \"Fold01\") %>% bal_accuracy(obs, pred) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 bal_accuracy macro 0.717 # Groups are respected hpc_cv %>% group_by(Resample) %>% bal_accuracy(obs, pred) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 bal_accuracy macro 0.717 #> 2 Fold02 bal_accuracy macro 0.711 #> 3 Fold03 bal_accuracy macro 0.767 #> 4 Fold04 bal_accuracy macro 0.724 #> 5 Fold05 bal_accuracy macro 0.715 #> 6 Fold06 bal_accuracy macro 0.707 #> 7 Fold07 bal_accuracy macro 0.699 #> 8 Fold08 bal_accuracy macro 0.734 #> 9 Fold09 bal_accuracy macro 0.717 #> 10 Fold10 bal_accuracy macro 0.706 # Weighted macro averaging hpc_cv %>% group_by(Resample) %>% bal_accuracy(obs, pred, estimator = \"macro_weighted\") #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 bal_accuracy macro_weighted 0.771 #> 2 Fold02 bal_accuracy macro_weighted 0.763 #> 3 Fold03 bal_accuracy macro_weighted 0.799 #> 4 Fold04 bal_accuracy macro_weighted 0.758 #> 5 Fold05 bal_accuracy macro_weighted 0.762 #> 6 Fold06 bal_accuracy macro_weighted 0.746 #> 7 Fold07 bal_accuracy macro_weighted 0.733 #> 8 Fold08 bal_accuracy macro_weighted 0.768 #> 9 Fold09 bal_accuracy macro_weighted 0.734 #> 10 Fold10 bal_accuracy macro_weighted 0.750 # Vector version bal_accuracy_vec( two_class_example$truth, two_class_example$predicted ) #> [1] 0.8366167 # Making Class2 the \"relevant\" level bal_accuracy_vec( two_class_example$truth, two_class_example$predicted, event_level = \"second\" ) #> [1] 0.8366167"},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_class.html","id":null,"dir":"Reference","previous_headings":"","what":"Brier score for classification models — brier_class","title":"Brier score for classification models — brier_class","text":"Compute Brier score classification model.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_class.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Brier score for classification models — brier_class","text":"","code":"brier_class(data, ...) # S3 method for data.frame brier_class(data, truth, ..., na_rm = TRUE, case_weights = NULL) brier_class_vec(truth, estimate, na_rm = TRUE, case_weights = NULL, ...)"},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_class.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Brier score for classification models — brier_class","text":"data data.frame containing columns specified truth .... ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_class.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Brier score for classification models — brier_class","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. brier_class_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_class.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Brier score for classification models — brier_class","text":"Brier score analogous mean squared error regression models. difference binary indicator class corresponding class probability squared averaged. function uses convention Kruppa et al (2014) divides result two. Smaller values score associated better model performance.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_class.html","id":"multiclass","dir":"Reference","previous_headings":"","what":"Multiclass","title":"Brier score for classification models — brier_class","text":"Brier scores can computed way number classes. , averaging types supported.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_class.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Brier score for classification models — brier_class","text":"Kruppa, J., Liu, Y., Diener, H.-C., Holste, T., Weimar, C., Koonig, . R., Ziegler, . (2014) Probability estimation machine learning methods dichotomous multicategory outcome: Applications. Biometrical Journal, 56 (4): 564-583.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_class.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Brier score for classification models — brier_class","text":"Max Kuhn","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_class.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Brier score for classification models — brier_class","text":"","code":"# Two class data(\"two_class_example\") brier_class(two_class_example, truth, Class1) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 brier_class binary 0.106 # Multiclass library(dplyr) data(hpc_cv) # You can use the col1:colN tidyselect syntax hpc_cv %>% filter(Resample == \"Fold01\") %>% brier_class(obs, VF:L) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 brier_class multiclass 0.202 # Groups are respected hpc_cv %>% group_by(Resample) %>% brier_class(obs, VF:L) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 brier_class multiclass 0.202 #> 2 Fold02 brier_class multiclass 0.215 #> 3 Fold03 brier_class multiclass 0.177 #> 4 Fold04 brier_class multiclass 0.204 #> 5 Fold05 brier_class multiclass 0.213 #> 6 Fold06 brier_class multiclass 0.214 #> 7 Fold07 brier_class multiclass 0.221 #> 8 Fold08 brier_class multiclass 0.209 #> 9 Fold09 brier_class multiclass 0.235 #> 10 Fold10 brier_class multiclass 0.218"},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival.html","id":null,"dir":"Reference","previous_headings":"","what":"Time-Dependent Brier score for right censored data — brier_survival","title":"Time-Dependent Brier score for right censored data — brier_survival","text":"Compute time-dependent Brier score right censored data, mean squared error time point .eval_time.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time-Dependent Brier score for right censored data — brier_survival","text":"","code":"brier_survival(data, ...) # S3 method for data.frame brier_survival(data, truth, ..., na_rm = TRUE, case_weights = NULL) brier_survival_vec(truth, estimate, na_rm = TRUE, case_weights = NULL, ...)"},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time-Dependent Brier score for right censored data — brier_survival","text":"data data.frame containing columns specified truth .... ... column identifier survival probabilities list column data.frames corresponding output given predicting censored model. unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, numeric vector. See Details . truth column identifier true survival result (created using survival::Surv().). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, survival::Surv() object. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time-Dependent Brier score for right censored data — brier_survival","text":"tibble columns .metric, .estimator, .estimate. ungrouped data frame, result one row values. grouped data frame, number rows returned number groups. brier_survival_vec(), numeric vector length input argument eval_time. (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time-Dependent Brier score for right censored data — brier_survival","text":"formulation takes survival probability predictions one specific evaluation times , time, computes Brier score. account censoring, inverse probability censoring weights (IPCW) used calculations. column passed ... list column one element per independent experiential unit (e.g. patient). list column contain data frames several columns: .eval_time: time prediction made. .pred_survival: predicted probability survival .eval_time .weight_censored: case weight inverse probability censoring. last column can produced using parsnip::.censoring_weights_graf(). corresponds weighting scheme Graf et al (1999). internal data set lung_surv shows example format. method automatically groups .eval_time argument. Smaller values score associated better model performance.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Time-Dependent Brier score for right censored data — brier_survival","text":"E. Graf, C. Schmoor, W. Sauerbrei, M. Schumacher, “Assessment comparison prognostic classification schemes survival data,” Statistics Medicine, vol. 18, . 17-18, pp. 2529–2545, 1999.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Time-Dependent Brier score for right censored data — brier_survival","text":"Emil Hvitfeldt","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time-Dependent Brier score for right censored data — brier_survival","text":"","code":"library(dplyr) lung_surv %>% brier_survival( truth = surv_obj, .pred ) #> # A tibble: 5 × 4 #> .metric .estimator .eval_time .estimate #> #> 1 brier_survival standard 100 0.109 #> 2 brier_survival standard 200 0.194 #> 3 brier_survival standard 300 0.219 #> 4 brier_survival standard 400 0.222 #> 5 brier_survival standard 500 0.197"},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival_integrated.html","id":null,"dir":"Reference","previous_headings":"","what":"Integrated Brier score for right censored data — brier_survival_integrated","title":"Integrated Brier score for right censored data — brier_survival_integrated","text":"Compute integrated Brier score right censored data, overall calculation model performance values .eval_time.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival_integrated.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Integrated Brier score for right censored data — brier_survival_integrated","text":"","code":"brier_survival_integrated(data, ...) # S3 method for data.frame brier_survival_integrated(data, truth, ..., na_rm = TRUE, case_weights = NULL) brier_survival_integrated_vec( truth, estimate, na_rm = TRUE, case_weights = NULL, ... )"},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival_integrated.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Integrated Brier score for right censored data — brier_survival_integrated","text":"data data.frame containing columns specified truth .... ... column identifier survival probabilities list column data.frames corresponding output given predicting censored model. unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, numeric vector. See Details . truth column identifier true survival result (created using survival::Surv().). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, survival::Surv() object. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival_integrated.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Integrated Brier score for right censored data — brier_survival_integrated","text":"tibble columns .metric, .estimator, .estimate. ungrouped data frame, result one row values. grouped data frame, number rows returned number groups. brier_survival_integrated_vec(), numeric vector length input argument eval_time. (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival_integrated.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Integrated Brier score for right censored data — brier_survival_integrated","text":"integrated time-dependent brier score calculated \"area curve\" fashion. brier score calculated value .eval_time. area calculated via trapezoidal rule. area divided largest value .eval_time bring scale traditional brier score. Smaller values score associated better model performance. formulation takes survival probability predictions one specific evaluation times , time, computes Brier score. account censoring, inverse probability censoring weights (IPCW) used calculations. column passed ... list column one element per independent experiential unit (e.g. patient). list column contain data frames several columns: .eval_time: time prediction made. .pred_survival: predicted probability survival .eval_time .weight_censored: case weight inverse probability censoring. last column can produced using parsnip::.censoring_weights_graf(). corresponds weighting scheme Graf et al (1999). internal data set lung_surv shows example format. method automatically groups .eval_time argument.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival_integrated.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Integrated Brier score for right censored data — brier_survival_integrated","text":"E. Graf, C. Schmoor, W. Sauerbrei, M. Schumacher, “Assessment comparison prognostic classification schemes survival data,” Statistics Medicine, vol. 18, . 17-18, pp. 2529–2545, 1999.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival_integrated.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Integrated Brier score for right censored data — brier_survival_integrated","text":"Emil Hvitfeldt","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/brier_survival_integrated.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Integrated Brier score for right censored data — brier_survival_integrated","text":"","code":"library(dplyr) lung_surv %>% brier_survival_integrated( truth = surv_obj, .pred ) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 brier_survival_integrated standard 0.158"},{"path":"https://yardstick.tidymodels.org/dev/reference/ccc.html","id":null,"dir":"Reference","previous_headings":"","what":"Concordance correlation coefficient — ccc","title":"Concordance correlation coefficient — ccc","text":"Calculate concordance correlation coefficient.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/ccc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Concordance correlation coefficient — ccc","text":"","code":"ccc(data, ...) # S3 method for data.frame ccc( data, truth, estimate, bias = FALSE, na_rm = TRUE, case_weights = NULL, ... ) ccc_vec(truth, estimate, bias = FALSE, na_rm = TRUE, case_weights = NULL, ...)"},{"path":"https://yardstick.tidymodels.org/dev/reference/ccc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Concordance correlation coefficient — ccc","text":"data data.frame containing columns specified truth estimate arguments. ... currently used. truth column identifier true results (numeric). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, numeric vector. estimate column identifier predicted results (also numeric). truth can specified different ways primary method use unquoted variable name. _vec() functions, numeric vector. bias logical; biased estimate variance used (Lin (1989))? na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/ccc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Concordance correlation coefficient — ccc","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. ccc_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/ccc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Concordance correlation coefficient — ccc","text":"ccc() metric consistency/correlation accuracy, metrics rmse() strictly accuracy metrics rsq() strictly consistency/correlation","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/ccc.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Concordance correlation coefficient — ccc","text":"Lin, L. (1989). concordance correlation coefficient evaluate reproducibility. Biometrics, 45 (1), 255-268. Nickerson, C. (1997). note \"concordance correlation coefficient evaluate reproducibility\". Biometrics, 53(4), 1503-1507.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/ccc.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Concordance correlation coefficient — ccc","text":"Max Kuhn","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/ccc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Concordance correlation coefficient — ccc","text":"","code":"# Supply truth and predictions as bare column names ccc(solubility_test, solubility, prediction) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 ccc standard 0.937 library(dplyr) set.seed(1234) size <- 100 times <- 10 # create 10 resamples solubility_resampled <- bind_rows( replicate( n = times, expr = sample_n(solubility_test, size, replace = TRUE), simplify = FALSE ), .id = \"resample\" ) # Compute the metric by group metric_results <- solubility_resampled %>% group_by(resample) %>% ccc(solubility, prediction) metric_results #> # A tibble: 10 × 4 #> resample .metric .estimator .estimate #> #> 1 1 ccc standard 0.935 #> 2 10 ccc standard 0.937 #> 3 2 ccc standard 0.943 #> 4 3 ccc standard 0.956 #> 5 4 ccc standard 0.944 #> 6 5 ccc standard 0.925 #> 7 6 ccc standard 0.933 #> 8 7 ccc standard 0.922 #> 9 8 ccc standard 0.955 #> 10 9 ccc standard 0.940 # Resampled mean estimate metric_results %>% summarise(avg_estimate = mean(.estimate)) #> # A tibble: 1 × 1 #> avg_estimate #> #> 1 0.939"},{"path":"https://yardstick.tidymodels.org/dev/reference/check_metric.html","id":null,"dir":"Reference","previous_headings":"","what":"Developer function for checking inputs in new metrics — check_metric","title":"Developer function for checking inputs in new metrics — check_metric","text":"check_numeric_metric(), check_class_metric(), check_prob_metric() useful alongside metric-summarizers implementing new custom metrics. metric-summarizers call metric function inside dplyr::summarise(). functions perform checks inputs accordance type metric used.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/check_metric.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Developer function for checking inputs in new metrics — check_metric","text":"","code":"check_numeric_metric(truth, estimate, case_weights, call = caller_env()) check_class_metric( truth, estimate, case_weights, estimator, call = caller_env() ) check_prob_metric( truth, estimate, case_weights, estimator, call = caller_env() ) check_dynamic_survival_metric( truth, estimate, case_weights, call = caller_env() ) check_static_survival_metric( truth, estimate, case_weights, call = caller_env() )"},{"path":"https://yardstick.tidymodels.org/dev/reference/check_metric.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Developer function for checking inputs in new metrics — check_metric","text":"truth realized vector truth. check_numeric_metric(), numeric vector. check_class_metric(), factor. check_prob_metric(), factor. check_dynamic_survival_metric(), Surv object. check_static_survival_metric(), Surv object. estimate realized estimate result. check_numeric_metric(), numeric vector. check_class_metric(), factor. check_prob_metric(), numeric vector binary truth, numeric matrix multic-class truth. check_dynamic_survival_metric(), list-column data.frames. check_static_survival_metric(), numeric vector. case_weights realized case weights, numeric vector. must length truth. call execution environment currently running function, e.g. caller_env(). function mentioned error messages source error. See call argument abort() information. estimator can either NULL default auto-selection averaging (\"binary\" \"macro\"), single character pass along metric implementation describing kind averaging use.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/classification_cost.html","id":null,"dir":"Reference","previous_headings":"","what":"Costs function for poor classification — classification_cost","title":"Costs function for poor classification — classification_cost","text":"classification_cost() calculates cost poor prediction based user-defined costs. costs multiplied estimated class probabilities mean cost returned.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/classification_cost.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Costs function for poor classification — classification_cost","text":"","code":"classification_cost(data, ...) # S3 method for data.frame classification_cost( data, truth, ..., costs = NULL, na_rm = TRUE, event_level = yardstick_event_level(), case_weights = NULL ) classification_cost_vec( truth, estimate, costs = NULL, na_rm = TRUE, event_level = yardstick_event_level(), case_weights = NULL, ... )"},{"path":"https://yardstick.tidymodels.org/dev/reference/classification_cost.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Costs function for poor classification — classification_cost","text":"data data.frame containing columns specified truth .... ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. costs data frame columns \"truth\", \"estimate\", \"cost\". \"truth\" \"estimate\" character columns containing unique combinations levels truth factor. \"costs\" numeric column representing cost applied \"estimate\" predicted, true result \"truth\". often case \"truth\" == \"estimate\", cost zero (penalty correct predictions). combinations levels truth missing, costs assumed zero. NULL, equal costs used, applying cost 0 correct predictions, cost 1 incorrect predictions. na_rm logical value indicating whether NA values stripped computation proceeds. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\", however, deprecated global option yardstick.event_first set, used instead warning. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/classification_cost.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Costs function for poor classification — classification_cost","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. class_cost_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/classification_cost.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Costs function for poor classification — classification_cost","text":"example, suppose three classes: \"\", \"B\", \"C\". Suppose truly \"\" observation class probabilities = 0.3 / B = 0.3 / C = 0.4. Suppose , true result class \"\", costs class = 0 / B = 5 / C = 10, penalizing probability incorrectly predicting \"C\" predicting \"B\". cost prediction 0.3 * 0 + 0.3 * 5 + 0.4 * 10. calculation done sample individual costs averaged.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/classification_cost.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Costs function for poor classification — classification_cost","text":"Max Kuhn","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/classification_cost.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Costs function for poor classification — classification_cost","text":"","code":"library(dplyr) # --------------------------------------------------------------------------- # Two class example data(two_class_example) # Assuming `Class1` is our \"event\", this penalizes false positives heavily costs1 <- tribble( ~truth, ~estimate, ~cost, \"Class1\", \"Class2\", 1, \"Class2\", \"Class1\", 2 ) # Assuming `Class1` is our \"event\", this penalizes false negatives heavily costs2 <- tribble( ~truth, ~estimate, ~cost, \"Class1\", \"Class2\", 2, \"Class2\", \"Class1\", 1 ) classification_cost(two_class_example, truth, Class1, costs = costs1) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 classification_cost binary 0.288 classification_cost(two_class_example, truth, Class1, costs = costs2) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 classification_cost binary 0.260 # --------------------------------------------------------------------------- # Multiclass data(hpc_cv) # Define cost matrix from Kuhn and Johnson (2013) hpc_costs <- tribble( ~estimate, ~truth, ~cost, \"VF\", \"VF\", 0, \"VF\", \"F\", 1, \"VF\", \"M\", 5, \"VF\", \"L\", 10, \"F\", \"VF\", 1, \"F\", \"F\", 0, \"F\", \"M\", 5, \"F\", \"L\", 5, \"M\", \"VF\", 1, \"M\", \"F\", 1, \"M\", \"M\", 0, \"M\", \"L\", 1, \"L\", \"VF\", 1, \"L\", \"F\", 1, \"L\", \"M\", 1, \"L\", \"L\", 0 ) # You can use the col1:colN tidyselect syntax hpc_cv %>% filter(Resample == \"Fold01\") %>% classification_cost(obs, VF:L, costs = hpc_costs) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 classification_cost multiclass 0.779 # Groups are respected hpc_cv %>% group_by(Resample) %>% classification_cost(obs, VF:L, costs = hpc_costs) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 classification_cost multiclass 0.779 #> 2 Fold02 classification_cost multiclass 0.735 #> 3 Fold03 classification_cost multiclass 0.654 #> 4 Fold04 classification_cost multiclass 0.754 #> 5 Fold05 classification_cost multiclass 0.777 #> 6 Fold06 classification_cost multiclass 0.737 #> 7 Fold07 classification_cost multiclass 0.743 #> 8 Fold08 classification_cost multiclass 0.749 #> 9 Fold09 classification_cost multiclass 0.760 #> 10 Fold10 classification_cost multiclass 0.771"},{"path":"https://yardstick.tidymodels.org/dev/reference/concordance_survival.html","id":null,"dir":"Reference","previous_headings":"","what":"Concordance index for right-censored data — concordance_survival","title":"Concordance index for right-censored data — concordance_survival","text":"Compute Concordance index right-censored data","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/concordance_survival.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Concordance index for right-censored data — concordance_survival","text":"","code":"concordance_survival(data, ...) # S3 method for data.frame concordance_survival( data, truth, estimate, na_rm = TRUE, case_weights = NULL, ... ) concordance_survival_vec( truth, estimate, na_rm = TRUE, case_weights = NULL, ... )"},{"path":"https://yardstick.tidymodels.org/dev/reference/concordance_survival.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Concordance index for right-censored data — concordance_survival","text":"data data.frame containing columns specified truth .... ... Currently used. truth column identifier true survival result (created using survival::Surv().). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, survival::Surv() object. estimate column identifier predicted time, numeric variables. unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, numeric vector. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/concordance_survival.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Concordance index for right-censored data — concordance_survival","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. concordance_survival_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/concordance_survival.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Concordance index for right-censored data — concordance_survival","text":"concordance index defined proportion comparable pairs predictions outcomes concordant. Two observations comparable : observations experienced event (different times), observation shorter observed survival time experienced event, case event-free subject “outlived” . pair comparable experienced events time. Concordance intuitively means two samples ordered correctly model. specifically, two samples concordant, one higher estimated risk score shorter actual survival time. Larger values score associated better model performance.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/concordance_survival.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Concordance index for right-censored data — concordance_survival","text":"Harrell, F.E., Califf, R.M., Pryor, D.B., Lee, K.L., Rosati, R., “Multivariable prognostic models: issues developing models, evaluating assumptions adequacy, measuring reducing errors”, Statistics Medicine, 15(4), 361-87, 1996.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/concordance_survival.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Concordance index for right-censored data — concordance_survival","text":"Emil Hvitfeldt","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/concordance_survival.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Concordance index for right-censored data — concordance_survival","text":"","code":"concordance_survival( data = lung_surv, truth = surv_obj, estimate = .pred_time ) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 concordance_survival standard 0.637"},{"path":"https://yardstick.tidymodels.org/dev/reference/conf_mat.html","id":null,"dir":"Reference","previous_headings":"","what":"Confusion Matrix for Categorical Data — conf_mat","title":"Confusion Matrix for Categorical Data — conf_mat","text":"Calculates cross-tabulation observed predicted classes.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/conf_mat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Confusion Matrix for Categorical Data — conf_mat","text":"","code":"conf_mat(data, ...) # S3 method for data.frame conf_mat( data, truth, estimate, dnn = c(\"Prediction\", \"Truth\"), case_weights = NULL, ... ) # S3 method for conf_mat tidy(x, ...)"},{"path":"https://yardstick.tidymodels.org/dev/reference/conf_mat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Confusion Matrix for Categorical Data — conf_mat","text":"data data frame base::table(). ... used. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimate column identifier predicted class results (also factor). truth can specified different ways primary method use unquoted variable name. _vec() functions, factor vector. dnn character vector dimnames table. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. x conf_mat object.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/conf_mat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Confusion Matrix for Categorical Data — conf_mat","text":"conf_mat() produces object class conf_mat. contains table objects. tidy.conf_mat() generates tibble columns name (cell identifier) value (cell count). used grouped data frame, conf_mat() returns tibble containing columns groups along conf_mat, list-column element conf_mat object.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/conf_mat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Confusion Matrix for Categorical Data — conf_mat","text":"conf_mat() objects, broom tidy() method created collapses cell counts cell data frame easy manipulation. also summary() method computes various classification metrics . See summary.conf_mat() ggplot2::autoplot() method quickly visualizing matrix. heatmap mosaic type implemented. function requires factors exactly levels.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/conf_mat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Confusion Matrix for Categorical Data — conf_mat","text":"","code":"library(dplyr) data(\"hpc_cv\") # The confusion matrix from a single assessment set (i.e. fold) cm <- hpc_cv %>% filter(Resample == \"Fold01\") %>% conf_mat(obs, pred) cm #> Truth #> Prediction VF F M L #> VF 166 33 8 1 #> F 11 71 24 7 #> M 0 3 5 3 #> L 0 1 4 10 # Now compute the average confusion matrix across all folds in # terms of the proportion of the data contained in each cell. # First get the raw cell counts per fold using the `tidy` method library(tidyr) cells_per_resample <- hpc_cv %>% group_by(Resample) %>% conf_mat(obs, pred) %>% mutate(tidied = lapply(conf_mat, tidy)) %>% unnest(tidied) # Get the totals per resample counts_per_resample <- hpc_cv %>% group_by(Resample) %>% summarize(total = n()) %>% left_join(cells_per_resample, by = \"Resample\") %>% # Compute the proportions mutate(prop = value / total) %>% group_by(name) %>% # Average summarize(prop = mean(prop)) counts_per_resample #> # A tibble: 16 × 2 #> name prop #> #> 1 cell_1_1 0.467 #> 2 cell_1_2 0.107 #> 3 cell_1_3 0.0185 #> 4 cell_1_4 0.00259 #> 5 cell_2_1 0.0407 #> 6 cell_2_2 0.187 #> 7 cell_2_3 0.0632 #> 8 cell_2_4 0.0173 #> 9 cell_3_1 0.00173 #> 10 cell_3_2 0.00692 #> 11 cell_3_3 0.0228 #> 12 cell_3_4 0.00807 #> 13 cell_4_1 0.000575 #> 14 cell_4_2 0.0104 #> 15 cell_4_3 0.0144 #> 16 cell_4_4 0.0320 # Now reshape these into a matrix mean_cmat <- matrix(counts_per_resample$prop, byrow = TRUE, ncol = 4) rownames(mean_cmat) <- levels(hpc_cv$obs) colnames(mean_cmat) <- levels(hpc_cv$obs) round(mean_cmat, 3) #> VF F M L #> VF 0.467 0.107 0.018 0.003 #> F 0.041 0.187 0.063 0.017 #> M 0.002 0.007 0.023 0.008 #> L 0.001 0.010 0.014 0.032 # The confusion matrix can quickly be visualized using autoplot() library(ggplot2) autoplot(cm, type = \"mosaic\") autoplot(cm, type = \"heatmap\")"},{"path":"https://yardstick.tidymodels.org/dev/reference/demographic_parity.html","id":null,"dir":"Reference","previous_headings":"","what":"Demographic parity — demographic_parity","title":"Demographic parity — demographic_parity","text":"Demographic parity satisfied model's predictions predicted positive rate across groups. value 0 indicates parity across groups. Note definition depend true outcome; truth argument included outputted metrics consistency. demographic_parity() calculated difference largest smallest value detection_prevalence() across groups. Demographic parity sometimes referred group fairness, disparate impact, statistical parity. See \"Measuring Disparity\" section details implementation.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/demographic_parity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Demographic parity — demographic_parity","text":"","code":"demographic_parity(by)"},{"path":"https://yardstick.tidymodels.org/dev/reference/demographic_parity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Demographic parity — demographic_parity","text":"column identifier sensitive feature. unquoted column name referring column un-preprocessed data.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/demographic_parity.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Demographic parity — demographic_parity","text":"function outputs yardstick fairness metric function. Given grouping variable , demographic_parity() return yardstick metric function associated data-variable grouping post-processor. outputted function first generate set detection_prevalence() metric values group summarizing across groups using post-processing function. outputted function data frame method intended used part metric set.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/demographic_parity.html","id":"measuring-disparity","dir":"Reference","previous_headings":"","what":"Measuring Disparity","title":"Demographic parity — demographic_parity","text":"default, function takes difference range detection_prevalence() .estimates across groups. , maximum pair-wise disparity groups return value demographic_parity()'s .estimate. finer control group treatment, construct context-aware fairness metric new_groupwise_metric() function passing custom aggregate function: aggregate(), x metric_set() output detection_prevalence() values group, ... gives additional arguments (grouping level refer \"baseline\") pass function outputted demographic_parity_2() context.","code":"# the actual default `aggregate` is: diff_range <- function(x, ...) {diff(range(x$.estimate))} demographic_parity_2 <- new_groupwise_metric( fn = \\code{\\link[=detection_prevalence]{detection_prevalence()}}, name = \"demographic_parity_2\", aggregate = diff_range )"},{"path":"https://yardstick.tidymodels.org/dev/reference/demographic_parity.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Demographic parity — demographic_parity","text":"Agarwal, ., Beygelzimer, ., Dudik, M., Langford, J., & Wallach, H. (2018). \"Reductions Approach Fair Classification.\" Proceedings 35th International Conference Machine Learning, Proceedings Machine Learning Research. 80:60-69. Verma, S., & Rubin, J. (2018). \"Fairness definitions explained\". Proceedings international workshop software fairness (pp. 1-7). Bird, S., Dudík, M., Edgar, R., Horn, B., Lutz, R., Milan, V., ... & Walker, K. (2020). \"Fairlearn: toolkit assessing improving fairness AI\". Microsoft, Tech. Rep. MSR-TR-2020-32.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/demographic_parity.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Demographic parity — demographic_parity","text":"","code":"library(dplyr) data(hpc_cv) head(hpc_cv) #> obs pred VF F M L Resample #> 1 VF VF 0.9136340 0.07786694 0.008479147 1.991225e-05 Fold01 #> 2 VF VF 0.9380672 0.05710623 0.004816447 1.011557e-05 Fold01 #> 3 VF VF 0.9473710 0.04946767 0.003156287 4.999849e-06 Fold01 #> 4 VF VF 0.9289077 0.06528949 0.005787179 1.564496e-05 Fold01 #> 5 VF VF 0.9418764 0.05430830 0.003808013 7.294581e-06 Fold01 #> 6 VF VF 0.9510978 0.04618223 0.002716177 3.841455e-06 Fold01 # evaluate `demographic_parity()` by Resample m_set <- metric_set(demographic_parity(Resample)) # use output like any other metric set hpc_cv %>% m_set(truth = obs, estimate = pred) #> # A tibble: 1 × 4 #> .metric .by .estimator .estimate #> #> 1 demographic_parity Resample macro 2.78e-17 # can mix fairness metrics and regular metrics m_set_2 <- metric_set(sens, demographic_parity(Resample)) hpc_cv %>% m_set_2(truth = obs, estimate = pred) #> # A tibble: 2 × 4 #> .metric .estimator .estimate .by #> #> 1 sens macro 5.60e- 1 NA #> 2 demographic_parity macro 2.78e-17 Resample"},{"path":"https://yardstick.tidymodels.org/dev/reference/detection_prevalence.html","id":null,"dir":"Reference","previous_headings":"","what":"Detection prevalence — detection_prevalence","title":"Detection prevalence — detection_prevalence","text":"Detection prevalence defined number predicted positive events (true positive false positive) divided total number predictions.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/detection_prevalence.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Detection prevalence — detection_prevalence","text":"","code":"detection_prevalence(data, ...) # S3 method for data.frame detection_prevalence( data, truth, estimate, estimator = NULL, na_rm = TRUE, case_weights = NULL, event_level = yardstick_event_level(), ... ) detection_prevalence_vec( truth, estimate, estimator = NULL, na_rm = TRUE, case_weights = NULL, event_level = yardstick_event_level(), ... )"},{"path":"https://yardstick.tidymodels.org/dev/reference/detection_prevalence.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Detection prevalence — detection_prevalence","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... currently used. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimate column identifier predicted class results (also factor). truth can specified different ways primary method use unquoted variable name. _vec() functions, factor vector. estimator One : \"binary\", \"macro\", \"macro_weighted\", \"micro\" specify type averaging done. \"binary\" relevant two class case. three general methods calculating multiclass metrics. default automatically choose \"binary\" \"macro\" based estimate. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\", however, deprecated global option yardstick.event_first set, used instead warning.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/detection_prevalence.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Detection prevalence — detection_prevalence","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. detection_prevalence_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/detection_prevalence.html","id":"relevant-level","dir":"Reference","previous_headings":"","what":"Relevant Level","title":"Detection prevalence — detection_prevalence","text":"common convention factor level automatically considered \"event\" \"positive\" result computing binary classification metrics. yardstick, default use first level. alter , change argument event_level \"second\" consider last level factor level interest. multiclass extensions involving one-vs-comparisons (macro averaging), option ignored \"one\" level always relevant result.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/detection_prevalence.html","id":"multiclass","dir":"Reference","previous_headings":"","what":"Multiclass","title":"Detection prevalence — detection_prevalence","text":"Macro, micro, macro-weighted averaging available metric. default select macro averaging truth factor 2 levels provided. Otherwise, standard binary calculation done. See vignette(\"multiclass\", \"yardstick\") information.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/detection_prevalence.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Detection prevalence — detection_prevalence","text":"Max Kuhn","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/detection_prevalence.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Detection prevalence — detection_prevalence","text":"","code":"# Two class data(\"two_class_example\") detection_prevalence(two_class_example, truth, predicted) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 detection_prevalence binary 0.554 # Multiclass library(dplyr) data(hpc_cv) hpc_cv %>% filter(Resample == \"Fold01\") %>% detection_prevalence(obs, pred) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 detection_prevalence macro 0.25 # Groups are respected hpc_cv %>% group_by(Resample) %>% detection_prevalence(obs, pred) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 detection_prevalence macro 0.25 #> 2 Fold02 detection_prevalence macro 0.25 #> 3 Fold03 detection_prevalence macro 0.25 #> 4 Fold04 detection_prevalence macro 0.25 #> 5 Fold05 detection_prevalence macro 0.25 #> 6 Fold06 detection_prevalence macro 0.25 #> 7 Fold07 detection_prevalence macro 0.25 #> 8 Fold08 detection_prevalence macro 0.25 #> 9 Fold09 detection_prevalence macro 0.25 #> 10 Fold10 detection_prevalence macro 0.25 # Weighted macro averaging hpc_cv %>% group_by(Resample) %>% detection_prevalence(obs, pred, estimator = \"macro_weighted\") #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 detection_prevalence macro_weighted 0.413 #> 2 Fold02 detection_prevalence macro_weighted 0.409 #> 3 Fold03 detection_prevalence macro_weighted 0.404 #> 4 Fold04 detection_prevalence macro_weighted 0.411 #> 5 Fold05 detection_prevalence macro_weighted 0.407 #> 6 Fold06 detection_prevalence macro_weighted 0.411 #> 7 Fold07 detection_prevalence macro_weighted 0.405 #> 8 Fold08 detection_prevalence macro_weighted 0.406 #> 9 Fold09 detection_prevalence macro_weighted 0.402 #> 10 Fold10 detection_prevalence macro_weighted 0.408 # Vector version detection_prevalence_vec( two_class_example$truth, two_class_example$predicted ) #> [1] 0.554 # Making Class2 the \"relevant\" level detection_prevalence_vec( two_class_example$truth, two_class_example$predicted, event_level = \"second\" ) #> [1] 0.446"},{"path":"https://yardstick.tidymodels.org/dev/reference/developer-helpers.html","id":null,"dir":"Reference","previous_headings":"","what":"Developer helpers — developer-helpers","title":"Developer helpers — developer-helpers","text":"Helpers used alongside check_metric, yardstick_remove_missing metric summarizers creating new metrics. See Custom performance metrics information.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/developer-helpers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Developer helpers — developer-helpers","text":"","code":"dots_to_estimate(data, ...) get_weights(data, estimator) finalize_estimator( x, estimator = NULL, metric_class = \"default\", call = caller_env() ) finalize_estimator_internal( metric_dispatcher, x, estimator, call = caller_env() ) validate_estimator(estimator, estimator_override = NULL, call = caller_env())"},{"path":"https://yardstick.tidymodels.org/dev/reference/developer-helpers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Developer helpers — developer-helpers","text":"data table truth values columns predicted values rows. ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. estimator Either NULL auto-selection, single character type estimator use. x column used autoselect estimator. generally truth column, can also table metric table methods. metric_class single character name metric autoselect estimator . match method name created finalize_estimator_internal(). call execution environment currently running function, e.g. caller_env(). function mentioned error messages source error. See call argument abort() information. metric_dispatcher simple dummy object class provided metric_class. created passed along . estimator_override character vector overriding default allowed estimator list c(\"binary\", \"macro\", \"micro\", \"macro_weighted\"). Set classification estimator support methods.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/developer-helpers.html","id":"dots-gt-estimate","dir":"Reference","previous_headings":"","what":"Dots -> Estimate","title":"Developer helpers — developer-helpers","text":"dots_to_estimate() useful class probability metrics take ... rather estimate argument. constructs either single name 1 input provided ... constructs quosure expression constructs matrix many columns provided .... eventually evaluated summarise() call metric-summarizers evaluate either vector matrix use underlying vector functions.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/developer-helpers.html","id":"weight-calculation","dir":"Reference","previous_headings":"","what":"Weight Calculation","title":"Developer helpers — developer-helpers","text":"get_weights() accepts confusion matrix estimator type \"macro\", \"micro\", \"macro_weighted\" returns correct weights. useful creating multiclass metrics.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/developer-helpers.html","id":"estimator-selection","dir":"Reference","previous_headings":"","what":"Estimator Selection","title":"Developer helpers — developer-helpers","text":"finalize_estimator() engine auto-selection estimator based type x. Generally x truth column. function called vector method metric. finalize_estimator_internal() S3 generic extend metric implement following estimator types: \"binary\", \"macro\", \"micro\", \"macro_weighted\". metric support , default version finalize_estimator_internal() autoselect estimator appropriately. need create method, take form: finalize_estimator_internal.metric_name. method finalize_estimator_internal() two things: estimator NULL, autoselect estimator based type x return single character estimator. estimator NULL, validate allowed estimator metric return . using default finalize_estimator_internal(), estimator selected using following heuristics: estimator NULL, validated returned immediately auto-selection needed. x : factor - \"binary\" returned 2 levels, otherwise \"macro\" returned. numeric - \"binary\" returned. table - \"binary\" returned 2 columns, otherwise \"macro\" returned. useful table methods. matrix - \"macro\" returned.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/developer-helpers.html","id":"estimator-validation","dir":"Reference","previous_headings":"","what":"Estimator Validation","title":"Developer helpers — developer-helpers","text":"validate_estimator() called metric specific method finalize_estimator_internal() ensures user provided estimator right format one allowed values.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/equal_opportunity.html","id":null,"dir":"Reference","previous_headings":"","what":"Equal opportunity — equal_opportunity","title":"Equal opportunity — equal_opportunity","text":"Equal opportunity satisfied model's predictions true positive false negative rates across protected groups. value 0 indicates parity across groups. equal_opportunity() calculated difference largest smallest value sens() across groups. Equal opportunity sometimes referred equality opportunity. See \"Measuring Disparity\" section details implementation.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/equal_opportunity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Equal opportunity — equal_opportunity","text":"","code":"equal_opportunity(by)"},{"path":"https://yardstick.tidymodels.org/dev/reference/equal_opportunity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Equal opportunity — equal_opportunity","text":"column identifier sensitive feature. unquoted column name referring column un-preprocessed data.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/equal_opportunity.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Equal opportunity — equal_opportunity","text":"function outputs yardstick fairness metric function. Given grouping variable , equal_opportunity() return yardstick metric function associated data-variable grouping post-processor. outputted function first generate set sens() metric values group summarizing across groups using post-processing function. outputted function data frame method intended used part metric set.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/equal_opportunity.html","id":"measuring-disparity","dir":"Reference","previous_headings":"","what":"Measuring Disparity","title":"Equal opportunity — equal_opportunity","text":"default, function takes difference range sens() .estimates across groups. , maximum pair-wise disparity groups return value equal_opportunity()'s .estimate. finer control group treatment, construct context-aware fairness metric new_groupwise_metric() function passing custom aggregate function: aggregate(), x metric_set() output sens() values group, ... gives additional arguments (grouping level refer \"baseline\") pass function outputted equal_opportunity_2() context.","code":"# the actual default `aggregate` is: diff_range <- function(x, ...) {diff(range(x$.estimate))} equal_opportunity_2 <- new_groupwise_metric( fn = \\code{\\link[=sens]{sens()}}, name = \"equal_opportunity_2\", aggregate = diff_range )"},{"path":"https://yardstick.tidymodels.org/dev/reference/equal_opportunity.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Equal opportunity — equal_opportunity","text":"Hardt, M., Price, E., & Srebro, N. (2016). \"Equality opportunity supervised learning\". Advances neural information processing systems, 29. Verma, S., & Rubin, J. (2018). \"Fairness definitions explained\". Proceedings international workshop software fairness (pp. 1-7). Bird, S., Dudík, M., Edgar, R., Horn, B., Lutz, R., Milan, V., ... & Walker, K. (2020). \"Fairlearn: toolkit assessing improving fairness AI\". Microsoft, Tech. Rep. MSR-TR-2020-32.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/equal_opportunity.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Equal opportunity — equal_opportunity","text":"","code":"library(dplyr) data(hpc_cv) head(hpc_cv) #> obs pred VF F M L Resample #> 1 VF VF 0.9136340 0.07786694 0.008479147 1.991225e-05 Fold01 #> 2 VF VF 0.9380672 0.05710623 0.004816447 1.011557e-05 Fold01 #> 3 VF VF 0.9473710 0.04946767 0.003156287 4.999849e-06 Fold01 #> 4 VF VF 0.9289077 0.06528949 0.005787179 1.564496e-05 Fold01 #> 5 VF VF 0.9418764 0.05430830 0.003808013 7.294581e-06 Fold01 #> 6 VF VF 0.9510978 0.04618223 0.002716177 3.841455e-06 Fold01 # evaluate `equal_opportunity()` by Resample m_set <- metric_set(equal_opportunity(Resample)) # use output like any other metric set hpc_cv %>% m_set(truth = obs, estimate = pred) #> # A tibble: 1 × 4 #> .metric .by .estimator .estimate #> #> 1 equal_opportunity Resample macro 0.103 # can mix fairness metrics and regular metrics m_set_2 <- metric_set(sens, equal_opportunity(Resample)) hpc_cv %>% m_set_2(truth = obs, estimate = pred) #> # A tibble: 2 × 4 #> .metric .estimator .estimate .by #> #> 1 sens macro 0.560 NA #> 2 equal_opportunity macro 0.103 Resample"},{"path":"https://yardstick.tidymodels.org/dev/reference/equalized_odds.html","id":null,"dir":"Reference","previous_headings":"","what":"Equalized odds — equalized_odds","title":"Equalized odds — equalized_odds","text":"Equalized odds satisfied model's predictions false positive, true positive, false negative, true negative rates across protected groups. value 0 indicates parity across groups. default, function takes maximum difference range sens() spec() .estimates across groups. , maximum pair-wise disparity sens() spec() groups return value equalized_odds()'s .estimate. Equalized odds sometimes referred conditional procedure accuracy equality disparate mistreatment. See \"Measuring disparity\" section details implementation.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/equalized_odds.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Equalized odds — equalized_odds","text":"","code":"equalized_odds(by)"},{"path":"https://yardstick.tidymodels.org/dev/reference/equalized_odds.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Equalized odds — equalized_odds","text":"column identifier sensitive feature. unquoted column name referring column un-preprocessed data.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/equalized_odds.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Equalized odds — equalized_odds","text":"function outputs yardstick fairness metric function. Given grouping variable , equalized_odds() return yardstick metric function associated data-variable grouping post-processor. outputted function first generate set sens() spec() metric values group summarizing across groups using post-processing function. outputted function data frame method intended used part metric set.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/equalized_odds.html","id":"measuring-disparity","dir":"Reference","previous_headings":"","what":"Measuring Disparity","title":"Equalized odds — equalized_odds","text":"finer control group treatment, construct context-aware fairness metric new_groupwise_metric() function passing custom aggregate function: aggregate(), x metric_set() output sens() spec() values group, ... gives additional arguments (grouping level refer \"baseline\") pass function outputted equalized_odds_2() context.","code":"# see yardstick:::max_positive_rate_diff for the actual `aggregate()` diff_range <- function(x, ...) {diff(range(x$.estimate))} equalized_odds_2 <- new_groupwise_metric( fn = metric_set(sens, spec), name = \"equalized_odds_2\", aggregate = diff_range )"},{"path":"https://yardstick.tidymodels.org/dev/reference/equalized_odds.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Equalized odds — equalized_odds","text":"Agarwal, ., Beygelzimer, ., Dudik, M., Langford, J., & Wallach, H. (2018). \"Reductions Approach Fair Classification.\" Proceedings 35th International Conference Machine Learning, Proceedings Machine Learning Research. 80:60-69. Verma, S., & Rubin, J. (2018). \"Fairness definitions explained\". Proceedings international workshop software fairness (pp. 1-7). Bird, S., Dudík, M., Edgar, R., Horn, B., Lutz, R., Milan, V., ... & Walker, K. (2020). \"Fairlearn: toolkit assessing improving fairness AI\". Microsoft, Tech. Rep. MSR-TR-2020-32.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/equalized_odds.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Equalized odds — equalized_odds","text":"","code":"library(dplyr) data(hpc_cv) head(hpc_cv) #> obs pred VF F M L Resample #> 1 VF VF 0.9136340 0.07786694 0.008479147 1.991225e-05 Fold01 #> 2 VF VF 0.9380672 0.05710623 0.004816447 1.011557e-05 Fold01 #> 3 VF VF 0.9473710 0.04946767 0.003156287 4.999849e-06 Fold01 #> 4 VF VF 0.9289077 0.06528949 0.005787179 1.564496e-05 Fold01 #> 5 VF VF 0.9418764 0.05430830 0.003808013 7.294581e-06 Fold01 #> 6 VF VF 0.9510978 0.04618223 0.002716177 3.841455e-06 Fold01 # evaluate `equalized_odds()` by Resample m_set <- metric_set(equalized_odds(Resample)) # use output like any other metric set hpc_cv %>% m_set(truth = obs, estimate = pred) #> # A tibble: 1 × 4 #> .metric .by .estimator .estimate #> #> 1 equalized_odds Resample macro 0.103 # can mix fairness metrics and regular metrics m_set_2 <- metric_set(sens, equalized_odds(Resample)) hpc_cv %>% m_set_2(truth = obs, estimate = pred) #> # A tibble: 2 × 4 #> .metric .estimator .estimate .by #> #> 1 sens macro 0.560 NA #> 2 equalized_odds macro 0.103 Resample"},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":null,"dir":"Reference","previous_headings":"","what":"F Measure — f_meas","title":"F Measure — f_meas","text":"functions calculate f_meas() measurement system finding relevant documents compared reference results (truth regarding relevance). Highly related functions recall() precision().","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"F Measure — f_meas","text":"","code":"f_meas(data, ...) # S3 method for data.frame f_meas( data, truth, estimate, beta = 1, estimator = NULL, na_rm = TRUE, case_weights = NULL, event_level = yardstick_event_level(), ... ) f_meas_vec( truth, estimate, beta = 1, estimator = NULL, na_rm = TRUE, case_weights = NULL, event_level = yardstick_event_level(), ... )"},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"F Measure — f_meas","text":"data Either data.frame containing columns specified truth estimate arguments, table/matrix true class results columns table. ... currently used. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimate column identifier predicted class results (also factor). truth can specified different ways primary method use unquoted variable name. _vec() functions, factor vector. beta numeric value used weight precision recall. value 1 traditionally used corresponds harmonic mean two values values weight recall beta times important precision. estimator One : \"binary\", \"macro\", \"macro_weighted\", \"micro\" specify type averaging done. \"binary\" relevant two class case. three general methods calculating multiclass metrics. default automatically choose \"binary\" \"macro\" based estimate. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\", however, deprecated global option yardstick.event_first set, used instead warning.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"F Measure — f_meas","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. f_meas_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"F Measure — f_meas","text":"measure \"F\" combination precision recall (see ).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":"relevant-level","dir":"Reference","previous_headings":"","what":"Relevant Level","title":"F Measure — f_meas","text":"common convention factor level automatically considered \"event\" \"positive\" result computing binary classification metrics. yardstick, default use first level. alter , change argument event_level \"second\" consider last level factor level interest. multiclass extensions involving one-vs-comparisons (macro averaging), option ignored \"one\" level always relevant result.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":"multiclass","dir":"Reference","previous_headings":"","what":"Multiclass","title":"F Measure — f_meas","text":"Macro, micro, macro-weighted averaging available metric. default select macro averaging truth factor 2 levels provided. Otherwise, standard binary calculation done. See vignette(\"multiclass\", \"yardstick\") information.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":"implementation","dir":"Reference","previous_headings":"","what":"Implementation","title":"F Measure — f_meas","text":"Suppose 2x2 table notation: formulas used : $$recall = /(+C)$$ $$precision = /(+B)$$ $$F_{meas} = (1+\\beta^2) * precision * recall/((\\beta^2 * precision)+recall)$$ See references discussions statistics.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"F Measure — f_meas","text":"Buckland, M., & Gey, F. (1994). relationship Recall Precision. Journal American Society Information Science, 45(1), 12-19. Powers, D. (2007). Evaluation: Precision, Recall F Factor ROC, Informedness, Markedness Correlation. Technical Report SIE-07-001, Flinders University","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"F Measure — f_meas","text":"Max Kuhn","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/f_meas.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"F Measure — f_meas","text":"","code":"# Two class data(\"two_class_example\") f_meas(two_class_example, truth, predicted) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 f_meas binary 0.849 # Multiclass library(dplyr) data(hpc_cv) hpc_cv %>% filter(Resample == \"Fold01\") %>% f_meas(obs, pred) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 f_meas macro 0.563 # Groups are respected hpc_cv %>% group_by(Resample) %>% f_meas(obs, pred) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 f_meas macro 0.563 #> 2 Fold02 f_meas macro 0.542 #> 3 Fold03 f_meas macro 0.641 #> 4 Fold04 f_meas macro 0.593 #> 5 Fold05 f_meas macro 0.570 #> 6 Fold06 f_meas macro 0.554 #> 7 Fold07 f_meas macro 0.516 #> 8 Fold08 f_meas macro 0.601 #> 9 Fold09 f_meas macro 0.555 #> 10 Fold10 f_meas macro 0.560 # Weighted macro averaging hpc_cv %>% group_by(Resample) %>% f_meas(obs, pred, estimator = \"macro_weighted\") #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 f_meas macro_weighted 0.696 #> 2 Fold02 f_meas macro_weighted 0.684 #> 3 Fold03 f_meas macro_weighted 0.739 #> 4 Fold04 f_meas macro_weighted 0.689 #> 5 Fold05 f_meas macro_weighted 0.692 #> 6 Fold06 f_meas macro_weighted 0.673 #> 7 Fold07 f_meas macro_weighted 0.646 #> 8 Fold08 f_meas macro_weighted 0.701 #> 9 Fold09 f_meas macro_weighted 0.652 #> 10 Fold10 f_meas macro_weighted 0.680 # Vector version f_meas_vec( two_class_example$truth, two_class_example$predicted ) #> [1] 0.8485981 # Making Class2 the \"relevant\" level f_meas_vec( two_class_example$truth, two_class_example$predicted, event_level = \"second\" ) #> [1] 0.8258065"},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_capture.html","id":null,"dir":"Reference","previous_headings":"","what":"Gain capture — gain_capture","title":"Gain capture — gain_capture","text":"gain_capture() measure performance similar AUC calculation, applied gain curve.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_capture.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Gain capture — gain_capture","text":"","code":"gain_capture(data, ...) # S3 method for data.frame gain_capture( data, truth, ..., estimator = NULL, na_rm = TRUE, event_level = yardstick_event_level(), case_weights = NULL ) gain_capture_vec( truth, estimate, estimator = NULL, na_rm = TRUE, event_level = yardstick_event_level(), case_weights = NULL, ... )"},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_capture.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Gain capture — gain_capture","text":"data data.frame containing columns specified truth .... ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. estimator One \"binary\", \"macro\", \"macro_weighted\" specify type averaging done. \"binary\" relevant two class case. two general methods calculating multiclass metrics. default automatically choose \"binary\" \"macro\" based truth. na_rm logical value indicating whether NA values stripped computation proceeds. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\", however, deprecated global option yardstick.event_first set, used instead warning. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector. estimate truth binary, numeric vector class probabilities corresponding \"relevant\" class. Otherwise, matrix many columns factor levels truth. assumed order levels truth.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_capture.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Gain capture — gain_capture","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. gain_capture_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_capture.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Gain capture — gain_capture","text":"gain_capture() calculates area gain curve, baseline, divides area perfect gain curve, baseline. meant represent amount potential gain \"captured\" model. gain_capture() metric identical accuracy ratio (AR), also sometimes called gini coefficient. two generally calculated cumulative accuracy profile curve, gain curve. See Engelmann reference information.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_capture.html","id":"relevant-level","dir":"Reference","previous_headings":"","what":"Relevant Level","title":"Gain capture — gain_capture","text":"common convention factor level automatically considered \"event\" \"positive\" result computing binary classification metrics. yardstick, default use first level. alter , change argument event_level \"second\" consider last level factor level interest. multiclass extensions involving one-vs-comparisons (macro averaging), option ignored \"one\" level always relevant result.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_capture.html","id":"multiclass","dir":"Reference","previous_headings":"","what":"Multiclass","title":"Gain capture — gain_capture","text":"Macro macro-weighted averaging available metric. default select macro averaging truth factor 2 levels provided. Otherwise, standard binary calculation done. See vignette(\"multiclass\", \"yardstick\") information.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_capture.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Gain capture — gain_capture","text":"Engelmann, Bernd & Hayden, Evelyn & Tasche, Dirk (2003). \"Measuring Discriminative Power Rating Systems,\" Discussion Paper Series 2: Banking Financial Studies 2003,01, Deutsche Bundesbank.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_capture.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Gain capture — gain_capture","text":"Max Kuhn","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_capture.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Gain capture — gain_capture","text":"","code":"# --------------------------------------------------------------------------- # Two class example # `truth` is a 2 level factor. The first level is `\"Class1\"`, which is the # \"event of interest\" by default in yardstick. See the Relevant Level # section above. data(two_class_example) # Binary metrics using class probabilities take a factor `truth` column, # and a single class probability column containing the probabilities of # the event of interest. Here, since `\"Class1\"` is the first level of # `\"truth\"`, it is the event of interest and we pass in probabilities for it. gain_capture(two_class_example, truth, Class1) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 gain_capture binary 0.879 # --------------------------------------------------------------------------- # Multiclass example # `obs` is a 4 level factor. The first level is `\"VF\"`, which is the # \"event of interest\" by default in yardstick. See the Relevant Level # section above. data(hpc_cv) # You can use the col1:colN tidyselect syntax library(dplyr) hpc_cv %>% filter(Resample == \"Fold01\") %>% gain_capture(obs, VF:L) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 gain_capture macro 0.743 # Change the first level of `obs` from `\"VF\"` to `\"M\"` to alter the # event of interest. The class probability columns should be supplied # in the same order as the levels. hpc_cv %>% filter(Resample == \"Fold01\") %>% mutate(obs = relevel(obs, \"M\")) %>% gain_capture(obs, M, VF:L) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 gain_capture macro 0.743 # Groups are respected hpc_cv %>% group_by(Resample) %>% gain_capture(obs, VF:L) #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 gain_capture macro 0.743 #> 2 Fold02 gain_capture macro 0.727 #> 3 Fold03 gain_capture macro 0.796 #> 4 Fold04 gain_capture macro 0.748 #> 5 Fold05 gain_capture macro 0.730 #> 6 Fold06 gain_capture macro 0.754 #> 7 Fold07 gain_capture macro 0.730 #> 8 Fold08 gain_capture macro 0.747 #> 9 Fold09 gain_capture macro 0.710 #> 10 Fold10 gain_capture macro 0.731 # Weighted macro averaging hpc_cv %>% group_by(Resample) %>% gain_capture(obs, VF:L, estimator = \"macro_weighted\") #> # A tibble: 10 × 4 #> Resample .metric .estimator .estimate #> #> 1 Fold01 gain_capture macro_weighted 0.759 #> 2 Fold02 gain_capture macro_weighted 0.745 #> 3 Fold03 gain_capture macro_weighted 0.811 #> 4 Fold04 gain_capture macro_weighted 0.734 #> 5 Fold05 gain_capture macro_weighted 0.733 #> 6 Fold06 gain_capture macro_weighted 0.730 #> 7 Fold07 gain_capture macro_weighted 0.737 #> 8 Fold08 gain_capture macro_weighted 0.730 #> 9 Fold09 gain_capture macro_weighted 0.681 #> 10 Fold10 gain_capture macro_weighted 0.737 # Vector version # Supply a matrix of class probabilities fold1 <- hpc_cv %>% filter(Resample == \"Fold01\") gain_capture_vec( truth = fold1$obs, matrix( c(fold1$VF, fold1$F, fold1$M, fold1$L), ncol = 4 ) ) #> [1] 0.7428922 # --------------------------------------------------------------------------- # Visualize gain_capture() # Visually, this represents the area under the black curve, but above the # 45 degree line, divided by the area of the shaded triangle. library(ggplot2) autoplot(gain_curve(two_class_example, truth, Class1))"},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":null,"dir":"Reference","previous_headings":"","what":"Gain curve — gain_curve","title":"Gain curve — gain_curve","text":"gain_curve() constructs full gain curve returns tibble. See gain_capture() relevant area gain curve. Also see lift_curve() closely related concept.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Gain curve — gain_curve","text":"","code":"gain_curve(data, ...) # S3 method for data.frame gain_curve( data, truth, ..., na_rm = TRUE, event_level = yardstick_event_level(), case_weights = NULL )"},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Gain curve — gain_curve","text":"data data.frame containing columns specified truth .... ... set unquoted column names one dplyr selector functions choose variables contain class probabilities. truth binary, 1 column selected, correspond value event_level. Otherwise, many columns factor levels truth ordering columns factor levels truth. truth column identifier true class results (factor). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, factor vector. na_rm logical value indicating whether NA values stripped computation proceeds. event_level single string. Either \"first\" \"second\" specify level truth consider \"event\". argument applicable estimator = \"binary\". default uses internal helper generally defaults \"first\", however, deprecated global option yardstick.event_first set, used instead warning. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Gain curve — gain_curve","text":"tibble class gain_df gain_grouped_df columns: .n index current sample. .n_events index current unique sample. Values repeated estimate values given identical indices column. .percent_tested cumulative percentage values tested. .percent_found cumulative percentage true results relative total number true results. using case_weights argument, columns weighted. makes sense frequency weights, integer weights representing number times particular observation repeated.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Gain curve — gain_curve","text":"ggplot2::autoplot() method quickly visualizing curve. works binary multiclass output, also works grouped data (.e. resamples). See examples. greater area gain curve baseline, better model. Gain curves identical CAP curves (cumulative accuracy profile). See Engelmann reference information CAP curves.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":"gain-and-lift-curves","dir":"Reference","previous_headings":"","what":"Gain and Lift Curves","title":"Gain curve — gain_curve","text":"motivation behind cumulative gain lift charts visual method determine effectiveness model compared results one might expect without model. example, without model, advertise random 10% customer base, might expect capture 10% total number positive responses advertised entire customer base. Given model predicts customers likely respond, hope can accurately target 10% customer base capture >10% total number positive responses. calculation construct gain curves follows: truth estimate placed descending order estimate values (estimate single column supplied ...). cumulative number samples true results relative entire number true results found. y-axis gain chart.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":"multiclass","dir":"Reference","previous_headings":"","what":"Multiclass","title":"Gain curve — gain_curve","text":"multiclass truth column provided, one-vs-approach taken calculate multiple curves, one per level. case, additional column, .level, identifying \"one\" column one-vs-calculation.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":"relevant-level","dir":"Reference","previous_headings":"","what":"Relevant Level","title":"Gain curve — gain_curve","text":"common convention factor level automatically considered \"event\" \"positive\" result computing binary classification metrics. yardstick, default use first level. alter , change argument event_level \"second\" consider last level factor level interest. multiclass extensions involving one-vs-comparisons (macro averaging), option ignored \"one\" level always relevant result.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Gain curve — gain_curve","text":"Engelmann, Bernd & Hayden, Evelyn & Tasche, Dirk (2003). \"Measuring Discriminative Power Rating Systems,\" Discussion Paper Series 2: Banking Financial Studies 2003,01, Deutsche Bundesbank.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Gain curve — gain_curve","text":"Max Kuhn","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/gain_curve.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Gain curve — gain_curve","text":"","code":"# --------------------------------------------------------------------------- # Two class example # `truth` is a 2 level factor. The first level is `\"Class1\"`, which is the # \"event of interest\" by default in yardstick. See the Relevant Level # section above. data(two_class_example) # Binary metrics using class probabilities take a factor `truth` column, # and a single class probability column containing the probabilities of # the event of interest. Here, since `\"Class1\"` is the first level of # `\"truth\"`, it is the event of interest and we pass in probabilities for it. gain_curve(two_class_example, truth, Class1) #> # A tibble: 501 × 4 #> .n .n_events .percent_tested .percent_found #> #> 1 0 0 0 0 #> 2 1 1 0.2 0.388 #> 3 2 2 0.4 0.775 #> 4 3 3 0.6 1.16 #> 5 4 4 0.8 1.55 #> 6 5 5 1 1.94 #> 7 6 6 1.2 2.33 #> 8 7 7 1.4 2.71 #> 9 8 8 1.6 3.10 #> 10 9 9 1.8 3.49 #> # ℹ 491 more rows # --------------------------------------------------------------------------- # `autoplot()` library(ggplot2) library(dplyr) # Use autoplot to visualize # The top left hand corner of the grey triangle is a \"perfect\" gain curve autoplot(gain_curve(two_class_example, truth, Class1)) # Multiclass one-vs-all approach # One curve per level hpc_cv %>% filter(Resample == \"Fold01\") %>% gain_curve(obs, VF:L) %>% autoplot() # Same as above, but will all of the resamples # The resample with the minimum (farthest to the left) \"perfect\" value is # used to draw the shaded region hpc_cv %>% group_by(Resample) %>% gain_curve(obs, VF:L) %>% autoplot()"},{"path":"https://yardstick.tidymodels.org/dev/reference/hpc_cv.html","id":null,"dir":"Reference","previous_headings":"","what":"Multiclass Probability Predictions — hpc_cv","title":"Multiclass Probability Predictions — hpc_cv","text":"Multiclass Probability Predictions","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/hpc_cv.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Multiclass Probability Predictions — hpc_cv","text":"Kuhn, M., Johnson, K. (2013) Applied Predictive Modeling, Springer","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/hpc_cv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Multiclass Probability Predictions — hpc_cv","text":"hpc_cv data frame","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/hpc_cv.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Multiclass Probability Predictions — hpc_cv","text":"data frame contains predicted classes class probabilities linear discriminant analysis model fit HPC data set Kuhn Johnson (2013). data assessment sets 10-fold cross-validation scheme. data column columns true class (obs), class prediction (pred) columns class probability (columns VF, F, M, L). Additionally, column resample indicator included.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/hpc_cv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Multiclass Probability Predictions — hpc_cv","text":"","code":"data(hpc_cv) str(hpc_cv) #> 'data.frame':\t3467 obs. of 7 variables: #> $ obs : Factor w/ 4 levels \"VF\",\"F\",\"M\",\"L\": 1 1 1 1 1 1 1 1 1 1 ... #> $ pred : Factor w/ 4 levels \"VF\",\"F\",\"M\",\"L\": 1 1 1 1 1 1 1 1 1 1 ... #> $ VF : num 0.914 0.938 0.947 0.929 0.942 ... #> $ F : num 0.0779 0.0571 0.0495 0.0653 0.0543 ... #> $ M : num 0.00848 0.00482 0.00316 0.00579 0.00381 ... #> $ L : num 1.99e-05 1.01e-05 5.00e-06 1.56e-05 7.29e-06 ... #> $ Resample: chr \"Fold01\" \"Fold01\" \"Fold01\" \"Fold01\" ... # `obs` is a 4 level factor. The first level is `\"VF\"`, which is the # \"event of interest\" by default in yardstick. See the Relevant Level # section in any classification function (such as `?pr_auc`) to see how # to change this. levels(hpc_cv$obs) #> [1] \"VF\" \"F\" \"M\" \"L\""},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss.html","id":null,"dir":"Reference","previous_headings":"","what":"Huber loss — huber_loss","title":"Huber loss — huber_loss","text":"Calculate Huber loss, loss function used robust regression. loss function less sensitive outliers rmse(). function quadratic small residual values linear large residual values.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Huber loss — huber_loss","text":"","code":"huber_loss(data, ...) # S3 method for data.frame huber_loss( data, truth, estimate, delta = 1, na_rm = TRUE, case_weights = NULL, ... ) huber_loss_vec( truth, estimate, delta = 1, na_rm = TRUE, case_weights = NULL, ... )"},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Huber loss — huber_loss","text":"data data.frame containing columns specified truth estimate arguments. ... currently used. truth column identifier true results (numeric). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, numeric vector. estimate column identifier predicted results (also numeric). truth can specified different ways primary method use unquoted variable name. _vec() functions, numeric vector. delta single numeric value. Defines boundary loss function transitions quadratic linear. Defaults 1. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Huber loss — huber_loss","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. huber_loss_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Huber loss — huber_loss","text":"Huber, P. (1964). Robust Estimation Location Parameter. Annals Statistics, 53 (1), 73-101.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Huber loss — huber_loss","text":"James Blair","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Huber loss — huber_loss","text":"","code":"# Supply truth and predictions as bare column names huber_loss(solubility_test, solubility, prediction) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 huber_loss standard 0.234 library(dplyr) set.seed(1234) size <- 100 times <- 10 # create 10 resamples solubility_resampled <- bind_rows( replicate( n = times, expr = sample_n(solubility_test, size, replace = TRUE), simplify = FALSE ), .id = \"resample\" ) # Compute the metric by group metric_results <- solubility_resampled %>% group_by(resample) %>% huber_loss(solubility, prediction) metric_results #> # A tibble: 10 × 4 #> resample .metric .estimator .estimate #> #> 1 1 huber_loss standard 0.215 #> 2 10 huber_loss standard 0.212 #> 3 2 huber_loss standard 0.229 #> 4 3 huber_loss standard 0.197 #> 5 4 huber_loss standard 0.249 #> 6 5 huber_loss standard 0.208 #> 7 6 huber_loss standard 0.293 #> 8 7 huber_loss standard 0.268 #> 9 8 huber_loss standard 0.190 #> 10 9 huber_loss standard 0.218 # Resampled mean estimate metric_results %>% summarise(avg_estimate = mean(.estimate)) #> # A tibble: 1 × 1 #> avg_estimate #> #> 1 0.228"},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss_pseudo.html","id":null,"dir":"Reference","previous_headings":"","what":"Psuedo-Huber Loss — huber_loss_pseudo","title":"Psuedo-Huber Loss — huber_loss_pseudo","text":"Calculate Pseudo-Huber Loss, smooth approximation huber_loss(). Like huber_loss(), less sensitive outliers rmse().","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss_pseudo.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Psuedo-Huber Loss — huber_loss_pseudo","text":"","code":"huber_loss_pseudo(data, ...) # S3 method for data.frame huber_loss_pseudo( data, truth, estimate, delta = 1, na_rm = TRUE, case_weights = NULL, ... ) huber_loss_pseudo_vec( truth, estimate, delta = 1, na_rm = TRUE, case_weights = NULL, ... )"},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss_pseudo.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Psuedo-Huber Loss — huber_loss_pseudo","text":"data data.frame containing columns specified truth estimate arguments. ... currently used. truth column identifier true results (numeric). unquoted column name although argument passed expression supports quasiquotation (can unquote column names). _vec() functions, numeric vector. estimate column identifier predicted results (also numeric). truth can specified different ways primary method use unquoted variable name. _vec() functions, numeric vector. delta single numeric value. Defines boundary loss function transitions quadratic linear. Defaults 1. na_rm logical value indicating whether NA values stripped computation proceeds. case_weights optional column identifier case weights. unquoted column name evaluates numeric column data. _vec() functions, numeric vector.","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss_pseudo.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Psuedo-Huber Loss — huber_loss_pseudo","text":"tibble columns .metric, .estimator, .estimate 1 row values. grouped data frames, number rows returned number groups. huber_loss_pseudo_vec(), single numeric value (NA).","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss_pseudo.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Psuedo-Huber Loss — huber_loss_pseudo","text":"Huber, P. (1964). Robust Estimation Location Parameter. Annals Statistics, 53 (1), 73-101. Hartley, Richard (2004). Multiple View Geometry Computer Vision. (Second Edition). Page 619.","code":""},{"path":[]},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss_pseudo.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Psuedo-Huber Loss — huber_loss_pseudo","text":"James Blair","code":""},{"path":"https://yardstick.tidymodels.org/dev/reference/huber_loss_pseudo.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Psuedo-Huber Loss — huber_loss_pseudo","text":"","code":"# Supply truth and predictions as bare column names huber_loss_pseudo(solubility_test, solubility, prediction) #> # A tibble: 1 × 3 #> .metric .estimator .estimate #> #> 1 huber_loss_pseudo standard 0.199 library(dplyr) set.seed(1234) size <- 100 times <- 10 # create 10 resamples solubility_resampled <- bind_rows( replicate( n = times, expr = sample_n(solubility_test, size, replace = TRUE), simplify = FALSE ), .id = \"resample\" ) # Compute the metric by group metric_results <- solubility_resampled %>% group_by(resample) %>% huber_loss_pseudo(solubility, prediction) metric_results #> # A tibble: 10 × 4 #> resample .metric .estimator .estimate #> #> 1 1 huber_loss_pseudo standard 0.185 #> 2 10 huber_loss_pseudo standard 0.179 #> 3 2 huber_loss_pseudo standard 0.196 #> 4 3 huber_loss_pseudo standard 0.168 #> 5 4 huber_loss_pseudo standard 0.212 #> 6 5 huber_loss_pseudo standard 0.177 #> 7 6 huber_loss_pseudo standard 0.246 #> 8 7 huber_loss_pseudo standard 0.227 #> 9 8 huber_loss_pseudo standard 0.161 #> 10 9 huber_loss_pseudo standard 0.188 # Resampled mean estimate metric_results %>% summarise(avg_estimate = mean(.estimate)) #> # A tibble: 1 × 1 #> avg_estimate #>