From c77907bf4ebc91f2ffab6a67464dda060fbd6437 Mon Sep 17 00:00:00 2001 From: Guy G Date: Wed, 4 Dec 2024 15:11:50 +0000 Subject: [PATCH] Fix bugs, rebuild --- .yarn/install-state.gz | Bin 0 -> 342841 bytes .yarnrc.yml | 1 + docs/404.html | 4 +- docs/assets/cfa-logo-CvOEDZPR.png | Bin 9632 -> 0 bytes docs/assets/cfa-logo-DBF_5Pb-.png | Bin 0 -> 22625 bytes docs/assets/iea-logo-black-CdT4_xvz.png | Bin 0 -> 17028 bytes docs/assets/iea-logo-black-Dny7qNJw.png | Bin 10070 -> 0 bytes docs/assets/index-7ndhSX17.js | 806 --- docs/assets/index-BnaZbbAR.js | 608 +++ docs/assets/index-DPNyxoZV.css | 1 - docs/assets/index-DWdR1FmA.css | 1 + docs/index.html | 4 +- package.json | 9 +- src/App.vue | 3 +- src/assets/img/cfa-logo.png | Bin 9632 -> 22625 bytes src/assets/img/iea-logo-black.png | Bin 10070 -> 17028 bytes src/assets/styles/scssVars.scss | 2 +- src/components/ControlPanel.vue | 2 +- src/components/Main.vue | 2 + src/components/common/Footer.vue | 5 +- yarn.lock | 6347 ++++++++++++++--------- 21 files changed, 4665 insertions(+), 3130 deletions(-) create mode 100644 .yarn/install-state.gz create mode 100644 .yarnrc.yml delete mode 100644 docs/assets/cfa-logo-CvOEDZPR.png create mode 100644 docs/assets/cfa-logo-DBF_5Pb-.png create mode 100644 docs/assets/iea-logo-black-CdT4_xvz.png delete mode 100644 docs/assets/iea-logo-black-Dny7qNJw.png delete mode 100644 docs/assets/index-7ndhSX17.js create mode 100644 docs/assets/index-BnaZbbAR.js delete mode 100644 docs/assets/index-DPNyxoZV.css create mode 100644 docs/assets/index-DWdR1FmA.css diff --git a/.yarn/install-state.gz b/.yarn/install-state.gz new file mode 100644 index 0000000000000000000000000000000000000000..11e43e90b4d8dd0cc3d815747f1022e3d171d68b GIT binary patch literal 342841 zcmV(*K;FL}iwFP!000001GK%{&TUze9%LKrZef8rya3u)Twr^Qh!`VAbl(Aj8{i${ zh_mUgvMSS!tQL~r9Q3Vhiwn1Dw^mvumGZBD=dQWtnlnbkcZ&b#pZxyEfA!}-{qFzl zKm7bZ{;QvV`Tbw~PyUPl>5u>JuYUZ_|Du2V$&dg2_tpQ~@9SUvdH?*se*WB#|Nh5c 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This Network Reevaluation Model is a tool for visualizing and analyzing shocks to financial networks. If you are new to the model, we recommend you follow this intro to learn how to use it.

This tool is based on the work done in the paper Financial network valuation under climate transition risk

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  • The "Import Data" button will allow you to import a network configuration from a CSV file. For details of the format, see below
  • The "Randomise Network" button will randomly generate a network configuration, with somewhat realistic parameters.
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BankIdGroupIDExtAssetsExtLiabOwedByBank1OwedByBank2OwedByBank3
Bank1Group143445010020
Bank2Group13302840050
Bank3Group2396410800
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  • Merton: Valuation is determined by the likelihood of default based on firm leverage, volatility, debt maturity and recovery rate (as in Distress). Reevaluation is triggered by a firm's equity relative to its external asset holdings. An increase in leverage and volatility increases its probability of default, decreasing the firm's valuation function.
  • Black: Like the Merton valuation function, valuation accounts for default before firm debt maturity. This leads to a lower valuation than Merton, which is also based on the firm's leverage, volatility and recovery rate.
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  • Minimum Density – representing a probabilistic network where the number of network connections is minimised.
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This Network Reevaluation Model is a tool for visualizing and analyzing shocks to financial networks. If you are new to the model, we recommend you follow this intro to learn how to use it.

This tool is based on the work done in the paper Financial network valuation under climate transition risk

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e,n,r,i=t[2]&&yu(t),s=t[3]&&t[3].enabled&&bu(t);return{c(){e=He("header"),i&&i.c(),n=Bs(),s&&s.c(),Ct(e,"class","shepherd-header")},m(o,a){Oe(o,e,a),i&&i.m(e,null),Nr(e,n),s&&s.m(e,null),r=!0},p(o,[a]){o[2]?i?(i.p(o,a),a&4&&kt(i,1)):(i=yu(o),i.c(),kt(i,1),i.m(e,n)):i&&(Kn(),Lt(i,1,1,()=>{i=null}),Yn()),o[3]&&o[3].enabled?s?(s.p(o,a),a&8&&kt(s,1)):(s=bu(o),s.c(),kt(s,1),s.m(e,null)):s&&(Kn(),Lt(s,1,1,()=>{s=null}),Yn())},i(o){r||(kt(i),kt(s),r=!0)},o(o){Lt(i),Lt(s),r=!1},d(o){o&&_e(e),i&&i.d(),s&&s.d()}}}function db(t,e,n){let{labelId:r,step:i}=e,s,o;return t.$$set=a=>{"labelId"in a&&n(0,r=a.labelId),"step"in a&&n(1,i=a.step)},t.$$.update=()=>{t.$$.dirty&2&&(n(2,s=i.options.title),n(3,o=i.options.cancelIcon))},[r,i,s,o]}class hb extends an{constructor(e){super(),on(this,e,db,fb,sn,{labelId:0,step:1})}}function pb(t){let e;return{c(){e=He("div"),Ct(e,"class","shepherd-text"),Ct(e,"id",t[1])},m(n,r){Oe(n,e,r),t[3](e)},p(n,[r]){r&2&&Ct(e,"id",n[1])},i:fe,o:fe,d(n){n&&_e(e),t[3](null)}}}function mb(t,e,n){let{descriptionId:r,element:i,step:s}=e;zl(()=>{let{text:a}=s.options;Jn(a)&&(a=a.call(s)),Rl(a)?i.appendChild(a):n(0,i.innerHTML=a,i)});function o(a){Lr[a?"unshift":"push"](()=>{i=a,n(0,i)})}return t.$$set=a=>{"descriptionId"in a&&n(1,r=a.descriptionId),"element"in a&&n(0,i=a.element),"step"in a&&n(2,s=a.step)},[i,r,s,o]}class gb extends an{constructor(e){super(),on(this,e,mb,pb,sn,{descriptionId:1,element:0,step:2})}}function vu(t){let e,n;return e=new hb({props:{labelId:t[1],step:t[2]}}),{c(){ar(e.$$.fragment)},m(r,i){On(e,r,i),n=!0},p(r,i){const s={};i&2&&(s.labelId=r[1]),i&4&&(s.step=r[2]),e.$set(s)},i(r){n||(kt(e.$$.fragment,r),n=!0)},o(r){Lt(e.$$.fragment,r),n=!1},d(r){Tn(e,r)}}}function _u(t){let e,n;return e=new 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w=()=>i;Gy(()=>{n(1,f={[`data-${r}shepherd-step-id`]:c.id}),n(9,a=i.querySelectorAll('a[href], area[href], input:not([disabled]), select:not([disabled]), textarea:not([disabled]), button:not([disabled]), [tabindex="0"]')),n(8,o=a[0]),n(10,u=a[a.length-1])}),zl(()=>{v!==c.options.classes&&E()});function E(){_(v),v=c.options.classes,k(v)}function _(x){if(Ai(x)){const $=ku(x);$.length&&i.classList.remove(...$)}}function k(x){if(Ai(x)){const $=ku(x);$.length&&i.classList.add(...$)}}const A=x=>{const{tour:$}=c;switch(x.keyCode){case xb:if(a.length===0){x.preventDefault();break}x.shiftKey?(document.activeElement===o||document.activeElement.classList.contains("shepherd-element"))&&(x.preventDefault(),u.focus()):document.activeElement===u&&(x.preventDefault(),o.focus());break;case wb:$.options.exitOnEsc&&(x.stopPropagation(),c.cancel());break;case kb:$.options.keyboardNavigation&&(x.stopPropagation(),$.back());break;case Sb:$.options.keyboardNavigation&&(x.stopPropagation(),$.next());break}};function g(x){Lr[x?"unshift":"push"](()=>{i=x,n(0,i)})}return t.$$set=x=>{"classPrefix"in x&&n(11,r=x.classPrefix),"element"in x&&n(0,i=x.element),"descriptionId"in x&&n(2,s=x.descriptionId),"firstFocusableElement"in x&&n(8,o=x.firstFocusableElement),"focusableElements"in x&&n(9,a=x.focusableElements),"labelId"in x&&n(3,l=x.labelId),"lastFocusableElement"in x&&n(10,u=x.lastFocusableElement),"step"in x&&n(4,c=x.step),"dataStepId"in x&&n(1,f=x.dataStepId)},t.$$.update=()=>{t.$$.dirty&16&&(n(5,d=c.options&&c.options.cancelIcon&&c.options.cancelIcon.enabled),n(6,h=c.options&&c.options.title))},[i,f,s,l,c,d,h,A,o,a,u,r,w,g]}class Eb extends an{constructor(e){super(),on(this,e,Ab,_b,sn,{classPrefix:11,element:0,descriptionId:2,firstFocusableElement:8,focusableElements:9,labelId:3,lastFocusableElement:10,step:4,dataStepId:1,getElement:12})}get getElement(){return this.$$.ctx[12]}}class Oa extends Nl{constructor(e,n={}){return super(e,n),this.tour=e,this.classPrefix=this.tour.options?Th(this.tour.options.classPrefix):"",this.styles=e.styles,this._resolvedAttachTo=null,Oh(this),this._setOptions(n),this}cancel(){this.tour.cancel(),this.trigger("cancel")}complete(){this.tour.complete(),this.trigger("complete")}destroy(){Ny(this),Rl(this.el)&&(this.el.remove(),this.el=null),this._updateStepTargetOnHide(),this.trigger("destroy")}getTour(){return this.tour}hide(){this.tour.modal.hide(),this.trigger("before-hide"),this.el&&(this.el.hidden=!0),this._updateStepTargetOnHide(),this.trigger("hide")}_resolveAttachToOptions(){return this._resolvedAttachTo=J1(this),this._resolvedAttachTo}_getResolvedAttachToOptions(){return this._resolvedAttachTo===null?this._resolveAttachToOptions():this._resolvedAttachTo}isOpen(){return!!(this.el&&!this.el.hidden)}show(){return Jn(this.options.beforeShowPromise)?Promise.resolve(this.options.beforeShowPromise()).then(()=>this._show()):Promise.resolve(this._show())}updateStepOptions(e){Object.assign(this.options,e),this.shepherdElementComponent&&this.shepherdElementComponent.$set({step:this})}getElement(){return this.el}getTarget(){return this.target}_createTooltipContent(){const e=`${this.id}-description`,n=`${this.id}-label`;return this.shepherdElementComponent=new Eb({target:this.tour.options.stepsContainer||document.body,props:{classPrefix:this.classPrefix,descriptionId:e,labelId:n,step:this,styles:this.styles}}),this.shepherdElementComponent.getElement()}_scrollTo(e){const{element:n}=this._getResolvedAttachToOptions();Jn(this.options.scrollToHandler)?this.options.scrollToHandler(n):Y1(n)&&typeof n.scrollIntoView=="function"&&n.scrollIntoView(e)}_getClassOptions(e){const n=this.tour&&this.tour.options&&this.tour.options.defaultStepOptions,r=e.classes?e.classes:"",i=n&&n.classes?n.classes:"",s=[...r.split(" "),...i.split(" ")],o=new Set(s);return Array.from(o).join(" ").trim()}_setOptions(e={}){let n=this.tour&&this.tour.options&&this.tour.options.defaultStepOptions;n=Pl({},n||{}),this.options=Object.assign({arrow:!0},n,e,Ry(n,e));const{when:r}=this.options;this.options.classes=this._getClassOptions(e),this.destroy(),this.id=this.options.id||`step-${Ll()}`,r&&Object.keys(r).forEach(i=>{this.on(i,r[i],this)})}_setupElements(){Xt(this.el)||this.destroy(),this.el=this._createTooltipContent(),this.options.advanceOn&&Q1(this),Py(this)}_show(){this.trigger("before-show"),this._resolveAttachToOptions(),this._setupElements(),this.tour.modal||this.tour._setupModal(),this.tour.modal.setupForStep(this),this._styleTargetElementForStep(this),this.el.hidden=!1,this.options.scrollTo&&setTimeout(()=>{this._scrollTo(this.options.scrollTo)}),this.el.hidden=!1;const e=this.shepherdElementComponent.getElement(),n=this.target||document.body;n.classList.add(`${this.classPrefix}shepherd-enabled`),n.classList.add(`${this.classPrefix}shepherd-target`),e.classList.add("shepherd-enabled"),this.trigger("show")}_styleTargetElementForStep(e){const n=e.target;n&&(e.options.highlightClass&&n.classList.add(e.options.highlightClass),n.classList.remove("shepherd-target-click-disabled"),e.options.canClickTarget===!1&&n.classList.add("shepherd-target-click-disabled"))}_updateStepTargetOnHide(){const e=this.target||document.body;this.options.highlightClass&&e.classList.remove(this.options.highlightClass),e.classList.remove("shepherd-target-click-disabled",`${this.classPrefix}shepherd-enabled`,`${this.classPrefix}shepherd-target`)}}function Cb(t){if(t){const{steps:e}=t;e.forEach(n=>{n.options&&n.options.canClickTarget===!1&&n.options.attachTo&&n.target instanceof HTMLElement&&n.target.classList.remove("shepherd-target-click-disabled")})}}function 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Bank2Group13302840050
Bank3Group2396410800
The header IDs are not important, but the order of the columns is. The Group ID can be left blank, but if used, will group banks together in the network and plot them in similar colours. The number of rows of data must be equal to the number of OwedByBank* columns.',cancelIcon:{enabled:!0},classes:"csv-table"}],equity:[{title:"Equity",text:"The equity value of the selected bank at the current time step. The equity is the external assets plus the effective internal assets (i.e. assets owed to the selected bank by other banks in the network), minus the external liabilities and internal liabilities (i.e. assets owed to other banks). Importantly, the internal assets are multiplied by the effective value of the owing bank, to statistically account for the fact that a debt from a bankrupt organisation is worthless.",attachTo:{element:"#equityVal",on:"left"},cancelIcon:{enabled:!0}}],value:[{title:"Valuation",text:'The effective value of the selected bank at the current time step. This is a measure of how likely a bank is to be able to pay its current debts. All debts from a bank are multiplied by its effective value, which is calculated using the chosen valuation function. For further details on each function, see the help for the "Valuation Function" control.',attachTo:{element:"#valuationVal",on:"left"},cancelIcon:{enabled:!0}}],shock:[{title:"Shock",text:"The shock value applied to the selected bank. This is the amount of external assets the bank loses at the start of the simulation. It is this initial reduction of equity which determines how the model progresses.",attachTo:{element:"#shockControl",on:"left"},cancelIcon:{enabled:!0}}],extAssets:[{title:"External Assets",text:"The amount of external assets the selected bank has. This is the amount of money the bank has in reserve, which is not owed to any other bank in the network.",attachTo:{element:"#extAssetsControl",on:"left"},cancelIcon:{enabled:!0}}],extLiabilities:[{title:"External Liabilities",text:"The amount of external liabilities the selected bank has. This is the amount of money the bank owes to organisations which are external to the network.",attachTo:{element:"#extLiabilityControl",on:"left"},cancelIcon:{enabled:!0}}],valueFunc:[{title:"Valuation Function",text:"The valuation function used to calculate the effective value of a bank. The three options are:
  • Distress: Reevaluation is triggered by the firm's capital buffer and determined by a flexible beta distribution. If the firm's capital buffer (equity divided by total liabilities) under reevaluation is lower than its initial capital buffer, there is a decrease in valuation. The decrease is determined by a beta distribution (α and β parameters) and a recovery rate, representing firm operational risks. A lower recovery rate leads to a lower valuation.
  • Merton: Valuation is determined by the likelihood of default based on firm leverage, volatility, debt maturity and recovery rate (as in Distress). Reevaluation is triggered by a firm's equity relative to its external asset holdings. An increase in leverage and volatility increases its probability of default, decreasing the firm's valuation function.
  • Black: Like the Merton valuation function, valuation accounts for default before firm debt maturity. This leads to a lower valuation than Merton, which is also based on the firm's leverage, volatility and recovery rate.
",attachTo:{element:"#valueFuncControl",on:"left"},cancelIcon:{enabled:!0}}],minDenMaxEnt:[{title:"Minimum Density and Maximum Entropy",text:"Matrix reconstruction methods are used when only partial information is known. In this context, the network can be represented as a matrix where partial information represents the row and column sums of the matrix. Using partial information and financial assumptions, we reconstruct a network which respects the partial information and assumptions. We provide methods for two approaches:
  • Maximum Entropy – representing a fully interconnected network of firms' interbank assets and liabilities
  • Minimum Density – representing a probabilistic network where the number of network connections is minimised.
These two methods have been applied to both a fragile and a stable balance sheet which can be pre-selected. Both networks will have the same initial set of equities, but the interbank assets and liabilities will differ.",cancelIcon:{enabled:!0}}]},o=(a,l)=>{a.stopPropagation(),i=Ci({useModalOverlay:!0}),i.addSteps(s[l]),i.start()};return(a,l)=>{const u=Sl("fa-icon");return Tt(),Ut("div",{ref_key:"controlsRef",ref:r,class:Di(["controls",{disabled:j(n).animating}])},[X("div",Z4,[l[24]||(l[24]=X("label",null,"Network configuration",-1)),X("button",{onClick:l[0]||(l[0]=(...c)=>j(n).chooseScenario&&j(n).chooseScenario(...c)),class:"choose"}," Choose scenario "),X("button",{onClick:l[1]||(l[1]=(...c)=>j(n).importData&&j(n).importData(...c)),class:"import"},"Import data"),X("button",{onClick:l[2]||(l[2]=(...c)=>j(n).randomise&&j(n).randomise(...c)),class:"randomise"}," Randomise network "),X("button",{onClick:l[3]||(l[3]=c=>o(c,"chooseScenario")),class:"help big"}," ? 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var(--fa-bounce-start-scale-y, 0.9)) translateY(0); + } + 30% { + transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); + } + 50% { + transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); + } + 57% { + transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); + } + 64% { + transform: scale(1, 1) translateY(0); + } + 100% { + transform: scale(1, 1) translateY(0); + } +} +@keyframes fa-fade { + 50% { + opacity: var(--fa-fade-opacity, 0.4); + } +} +@keyframes fa-beat-fade { + 0%, 100% { + opacity: var(--fa-beat-fade-opacity, 0.4); + transform: scale(1); + } + 50% { + opacity: 1; + transform: scale(var(--fa-beat-fade-scale, 1.125)); + } +} +@keyframes fa-flip { + 50% { + transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); + } +} +@keyframes fa-shake { + 0% { + transform: 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.axis-label{font-size:.75rem;fill:#fff;text-anchor:middle}#chooseScenario[data-v-a5f7f74f]{position:absolute;top:0;left:0;width:100%;height:100%;background-color:#000000bf;display:flex;flex-direction:column;justify-content:center;align-items:center;z-index:10}#chooseScenario .frame[data-v-a5f7f74f]{display:flex;flex-direction:column;justify-content:center;align-items:center;margin:.5rem;padding:1rem;border-radius:.5rem;background-color:#404040}#chooseScenario .frame button[data-v-a5f7f74f]{margin:.5rem;position:relative}#chooseScenario .frame .close[data-v-a5f7f74f]{align-self:flex-end;color:#af4c4c;cursor:pointer}.controls[data-v-a5f7f74f]{display:flex;flex-direction:column;overflow-y:auto;padding:.5rem}.controls #node[data-v-a5f7f74f]{margin-bottom:0}.controls.disabled[data-v-a5f7f74f]{pointer-events:none;opacity:.7}.controls .control[data-v-a5f7f74f]{align-items:center;display:flex;flex-direction:row;justify-content:space-around}.controls .control label[data-v-a5f7f74f]{flex:1 0 7rem;text-align:right;margin-right:1rem;padding-right:.5rem;color:#80bbb1;position:relative}.controls .control label.Ltitle[data-v-a5f7f74f]{flex:1 0 30%;text-align:center}.controls .control.info[data-v-a5f7f74f]{margin:.5rem 0}.controls .control.info label[data-v-a5f7f74f]{flex:1 1 10%;text-align:center;margin:.25rem;font-size:1.2rem;color:#ddd}.controls .control select[data-v-a5f7f74f]{margin:.5rem}.controls .control .ui[data-v-a5f7f74f]{flex:1 1 70%;min-width:0}.controls .control .ui.lmat[data-v-a5f7f74f]:last-child{margin-left:1rem}.controls .control .ui.lmat[data-v-a5f7f74f]{flex:1 1 35%}.controls .scenarios[data-v-a5f7f74f]{display:flex;flex-direction:row;overflow:visible;position:relative;border:2px solid rgb(128,187,177);padding:1rem;margin-top:0;margin-bottom:1rem}.controls .scenarios button[data-v-a5f7f74f]{margin:.25rem}.controls .scenarios label[data-v-a5f7f74f]{flex:1 0 7rem;text-align:right;margin-right:1rem;padding-right:.5rem;color:#80bbb1;position:absolute;left:.5rem;top:-.5rem;font-size:.75rem;padding-left:.5rem;background-color:#222}.controls .scenarioButton[data-v-a5f7f74f]{position:relative}.controls button.help[data-v-a5f7f74f]{width:1rem;height:1rem;position:absolute!important;top:-.5rem;right:-.5rem;background-color:#80bbb1;border-radius:.75rem;padding:0;font-size:.75rem}.controls button.help.big[data-v-a5f7f74f]{width:1.5rem;height:1.5rem;top:-.75rem;right:-.75rem;font-size:1rem}.controls button.help[data-v-a5f7f74f]:hover{background-color:#417a71}.controls .spacer[data-v-a5f7f74f]{flex:0 0 1rem}.controls button.addremove[data-v-a5f7f74f]{display:flex;align-items:center;justify-content:center;width:2rem;height:2rem;border:none;border-radius:3px;background-color:#5386a8;color:#ddd;font-size:1.5rem;cursor:pointer;transition:background-color .3s ease;margin:.1rem}.main[data-v-201299a4]{display:flex;flex-direction:row;padding-bottom:.25rem;position:relative}.main #chart[data-v-201299a4]{flex:1 1 70%}.main #controls[data-v-201299a4]{flex:1 1 30%;min-width:25rem;max-height:100%} diff --git a/docs/index.html b/docs/index.html index 2ac2bd7..a4a19d8 100644 --- a/docs/index.html +++ b/docs/index.html @@ -11,8 +11,8 @@ rel="stylesheet" /> - - + +
diff --git a/package.json b/package.json index ec30b2a..123a2f1 100644 --- a/package.json +++ b/package.json @@ -21,9 +21,9 @@ "prettier": "^3.1.1", "sass": "^1.62.0", "sass-loader": "^13.2.2", - "typescript": "^5.4.5", - "vite": "^5.0.11", - "vue-tsc": "^1.4.2" + "typescript": "5.3.3", + "vite": "^5.0.13", + "vue-tsc": "1.8.27" }, "dependencies": { "@fortawesome/fontawesome-svg-core": "^6.5.2", @@ -41,5 +41,6 @@ "vue-router": "^4.1.6", "vue-shepherd": "^3.0.0", "vue3-loading-overlay": "^0.0.0" - } + }, + "packageManager": "yarn@4.5.3" } diff --git a/src/App.vue b/src/App.vue index 03d515f..efa2e41 100644 --- a/src/App.vue +++ b/src/App.vue @@ -45,6 +45,7 @@ onMounted(() => { height: 100vh; max-width: 100vw; max-height: 100vh; + overflow: hidden; display: grid; grid-template-columns: 100%; // grid-template-rows: $headerHeight + $gap 1fr; @@ -66,7 +67,7 @@ onMounted(() => { #main { grid-area: main; // Constrains certain badly-behaved elements - max-height: calc(100vh - $headerHeight - $footerHeight - 3 * $gap); + max-height: calc(100vh - $headerHeight - $footerHeight - 2 * $gap); // max-height: calc(100vh - $headerHeight - 2 * $gap); // padding: $gap; } diff --git a/src/assets/img/cfa-logo.png b/src/assets/img/cfa-logo.png index 9b49be3059e70b6cf703d2e2777f97fe8323d70f..83e9d44ddc6530504b303fc13e3b04c15eae37d3 100644 GIT binary patch literal 22625 zcmeFZWmKF^)-H^@ySux)yL;o_xVvj0Sa1yl3Ben8cXtbr;6Va`;O?jMJTvpotnd7J z*ZR)CDHgr%uG)3guB-N4ReM)KtcIFADiRSA1Ox=CqJoST1O(&~_}Ll(4*W?B;c8>=WKH4a?`BP5?PqTT0pYh=l4GAr!=GC6wu|ElL(t*4xd%+m1SEMU=zFnjPz9S)$P8-uux4 z@vA_U`jDip0$^|Lg4q`ObVzTyf91Jx$m_3@1HqSz*E9TAKeaTyTXy)%m!}UmD`xSJ zfkAI;;g_@8^KsXY&t!JbWaWDWX2o03Qw5W8&VFwz%KCSASfNQz8R5N>=u2-MzeAsV z%K~udJv)MwnNmizLhv=NTcfxhWPfsIPQYu|pLrkDr;F=KNxoL7g}xG29okpikc(eu z)jU5Oxo$AMw918^=}z~OGlnvIJY7AIZ=sLB-hQ||c)04#Z+|?id|tU@GNi>ptDpD&zS9EygU&;3zTn4{1_s|7Z*-Qw_j1_ z&Er{Az6;#6Zyd^T9m~TPJTva$@4gnfWIHljQV(d)(o}N~=Z>q$h1GE4R+N16JZ02WD3eSp 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a/src/components/common/Footer.vue +++ b/src/components/common/Footer.vue @@ -33,7 +33,8 @@ @import '@/assets/styles/scssVars.scss'; .footer { - padding-top: $gap/2; + // padding-top: $gap/2; + padding-bottom: $gap/2; height: $footerHeight + $gap; background-color: $bgContrast; display: flex; @@ -44,7 +45,7 @@ a { height: $footerHeight - $gap; img { - height: $footerHeight - $gap; + height: $footerHeight - 3 * $gap; } } } diff --git a/yarn.lock b/yarn.lock index 95ee0f3..98f542c 100644 --- a/yarn.lock +++ b/yarn.lock @@ -1,2310 +1,4037 @@ -# THIS IS AN AUTOGENERATED FILE. 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