1import{d as g,o as t,c as s,D as i,_ as x,i as u,v,a8 as k,b as d,w as _,a as c,t as n,e as r,f as y,g as l,O as b}from"#entry";const A={class:"image"},C=g({__name:"GridItemImage",props:{asset:{},config:{}},setup(e){return(o,a)=>{const m=x;return t(),s("div",A,[i(m,{class:"image",asset:e.asset,config:e.config},null,8,["asset","config"])])}}}),G=Object.assign(u(C,[["__scopeId","data-v-b1a87e67"]]),{__name:"AtomsGridItemImage"}),w={key:1,class:"image-placeholder","aria-hidden":"true"},N={class:"content"},B={class:"content-wrapper"},V={key:0,class:"page-badge"},$={key:1,class:"page-intro-text"},j={class:"page-read-more"},O=g({__name:"GridItem",props:{item:{},imageConfig:{},headingType:{default:"h3"}},setup(e){const o=v(()=>e.item.badges?.map(a=>a.title).join(" - ")??"");return(a,m)=>{const p=G,f=y,h=k("FontAwesomeIcon"),I=b;return t(),d(I,{class:"link grid-item",to:e.item._slug},{default:_(()=>[e.item.asset?(t(),d(p,{key:0,asset:e.item.asset,config:e.imageConfig},null,8,["asset","config"])):(t(),s("div",w)),c("div",N,[c("div",B,[o.value?(t(),s("span",V,n(o.value),1)):r("",!0),i(f,{type:e.headingType,class:"page-title"},{default:_(()=>[l(n(e.item.title),1)]),_:1},8,["type"]),e.item.introduction_content?(t(),s("span",$,n(e.item.introduction_content),1)):r("",!0),c("span",j,[l(n(a.$t("site.article-card.read-more"))+" ",1),i(h,{icon:"fa-solid fa-angle-right","aria-hidden":"true",class:"read-more-icon"})])])])]),_:1},8,["to"])}}}),D=Object.assign(u(O,[["__scopeId","data-v-d9f7cd8e"]]),{__name:"MoleculesGridItem"});export{D as default};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.