@carbon/icons-angular
Version:
Angular components for icons in digital and software products using the Carbon Design System
174 lines (171 loc) • 12.6 kB
JavaScript
import { __decorate, __metadata } from 'tslib';
import { Input, Component, ElementRef, Directive, NgModule } from '@angular/core';
import { getAttributes } from '@carbon/icon-helpers';
var WatsonMachineLearningDirective_1;
let WatsonMachineLearningComponent = class WatsonMachineLearningComponent {
constructor() {
this.focusable = false;
}
};
__decorate([
Input(),
__metadata("design:type", String)
], WatsonMachineLearningComponent.prototype, "ariaLabel", void 0);
__decorate([
Input(),
__metadata("design:type", String)
], WatsonMachineLearningComponent.prototype, "ariaLabelledby", void 0);
__decorate([
Input(),
__metadata("design:type", Boolean)
], WatsonMachineLearningComponent.prototype, "ariaHidden", void 0);
__decorate([
Input(),
__metadata("design:type", String)
], WatsonMachineLearningComponent.prototype, "title", void 0);
__decorate([
Input(),
__metadata("design:type", Boolean)
], WatsonMachineLearningComponent.prototype, "focusable", void 0);
__decorate([
Input(),
__metadata("design:type", String)
], WatsonMachineLearningComponent.prototype, "innerClass", void 0);
__decorate([
Input(),
__metadata("design:type", String)
], WatsonMachineLearningComponent.prototype, "size", void 0);
WatsonMachineLearningComponent = __decorate([
Component({
selector: "ibm-icon-watson-machine-learning",
template: `
<svg
ibmIconWatsonMachineLearning
[size]="size"
[ariaLabel]="ariaLabel"
[ariaLabelledby]="ariaLabelledby"
[ariaHidden]="ariaHidden"
[title]="title"
[isFocusable]="focusable"
[attr.class]="innerClass">
</svg>
`
})
], WatsonMachineLearningComponent);
let WatsonMachineLearningDirective = WatsonMachineLearningDirective_1 = class WatsonMachineLearningDirective {
constructor(elementRef) {
this.elementRef = elementRef;
this.isFocusable = false;
this.icons = {
"32": {
metadata: { "moduleName": "WatsonMachineLearning32", "filepath": "watson--machine-learning/32.js", "descriptor": { "elem": "svg", "attrs": { "xmlns": "http://www.w3.org/2000/svg", "viewBox": "0 0 32 32", "fill": "currentColor", "width": 32, "height": 32 }, "content": [{ "elem": "path", "attrs": { "d": "M22 26H20V17.76l-3.23 3.88a1 1 0 01-1.54 0L12 17.76V26H10V15a1 1 0 01.66-.94 1 1 0 011.11.3L16 19.44l4.23-5.08a1 1 0 011.11-.3A1 1 0 0122 15zM4.16 14.65l-3-1.75a.76.76 0 10-.76 1.32L3.4 16a.76.76 0 10.76-1.31zM8.29 10.52a.73.73 0 001 .27.75.75 0 00.28-1l-1.74-3a.76.76 0 10-1.32.76zM16 9a.76.76 0 00.76-.76V4.76a.76.76 0 10-1.52 0V8.25A.76.76 0 0016 9zM22.68 10.79a.75.75 0 00.37.11.76.76 0 00.66-.38l1.75-3a.76.76 0 00-1.32-.76l-1.74 3A.75.75 0 0022.68 10.79zM31.9 13.18a.76.76 0 00-1-.28l-3 1.75A.76.76 0 0028.6 16l3-1.74A.77.77 0 0031.9 13.18z" } }], "name": "watson--machine-learning", "size": 32 }, "size": 32 },
svg: `<svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="32" height="32" viewBox="0 0 32 32" aria-hidden="true"><path d="M22 26H20V17.76l-3.23 3.88a1 1 0 01-1.54 0L12 17.76V26H10V15a1 1 0 01.66-.94 1 1 0 011.11.3L16 19.44l4.23-5.08a1 1 0 011.11-.3A1 1 0 0122 15zM4.16 14.65l-3-1.75a.76.76 0 10-.76 1.32L3.4 16a.76.76 0 10.76-1.31zM8.29 10.52a.73.73 0 001 .27.75.75 0 00.28-1l-1.74-3a.76.76 0 10-1.32.76zM16 9a.76.76 0 00.76-.76V4.76a.76.76 0 10-1.52 0V8.25A.76.76 0 0016 9zM22.68 10.79a.75.75 0 00.37.11.76.76 0 00.66-.38l1.75-3a.76.76 0 00-1.32-.76l-1.74 3A.75.75 0 0022.68 10.79zM31.9 13.18a.76.76 0 00-1-.28l-3 1.75A.76.76 0 0028.6 16l3-1.74A.77.77 0 0031.9 13.18z"></path></svg>`
},
"24": {
metadata: { "moduleName": "WatsonMachineLearning24", "filepath": "watson--machine-learning/24.js", "descriptor": { "elem": "svg", "attrs": { "xmlns": "http://www.w3.org/2000/svg", "viewBox": "0 0 32 32", "fill": "currentColor", "width": 24, "height": 24 }, "content": [{ "elem": "path", "attrs": { "d": "M22 26H20V17.76l-3.23 3.88a1 1 0 01-1.54 0L12 17.76V26H10V15a1 1 0 01.66-.94 1 1 0 011.11.3L16 19.44l4.23-5.08a1 1 0 011.11-.3A1 1 0 0122 15zM4.16 14.65l-3-1.75a.76.76 0 10-.76 1.32L3.4 16a.76.76 0 10.76-1.31zM8.29 10.52a.73.73 0 001 .27.75.75 0 00.28-1l-1.74-3a.76.76 0 10-1.32.76zM16 9a.76.76 0 00.76-.76V4.76a.76.76 0 10-1.52 0V8.25A.76.76 0 0016 9zM22.68 10.79a.75.75 0 00.37.11.76.76 0 00.66-.38l1.75-3a.76.76 0 00-1.32-.76l-1.74 3A.75.75 0 0022.68 10.79zM31.9 13.18a.76.76 0 00-1-.28l-3 1.75A.76.76 0 0028.6 16l3-1.74A.77.77 0 0031.9 13.18z" } }], "name": "watson--machine-learning", "size": 24 }, "size": 24 },
svg: `<svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 32 32" aria-hidden="true"><path d="M22 26H20V17.76l-3.23 3.88a1 1 0 01-1.54 0L12 17.76V26H10V15a1 1 0 01.66-.94 1 1 0 011.11.3L16 19.44l4.23-5.08a1 1 0 011.11-.3A1 1 0 0122 15zM4.16 14.65l-3-1.75a.76.76 0 10-.76 1.32L3.4 16a.76.76 0 10.76-1.31zM8.29 10.52a.73.73 0 001 .27.75.75 0 00.28-1l-1.74-3a.76.76 0 10-1.32.76zM16 9a.76.76 0 00.76-.76V4.76a.76.76 0 10-1.52 0V8.25A.76.76 0 0016 9zM22.68 10.79a.75.75 0 00.37.11.76.76 0 00.66-.38l1.75-3a.76.76 0 00-1.32-.76l-1.74 3A.75.75 0 0022.68 10.79zM31.9 13.18a.76.76 0 00-1-.28l-3 1.75A.76.76 0 0028.6 16l3-1.74A.77.77 0 0031.9 13.18z"></path></svg>`
},
"20": {
metadata: { "moduleName": "WatsonMachineLearning20", "filepath": "watson--machine-learning/20.js", "descriptor": { "elem": "svg", "attrs": { "xmlns": "http://www.w3.org/2000/svg", "viewBox": "0 0 32 32", "fill": "currentColor", "width": 20, "height": 20 }, "content": [{ "elem": "path", "attrs": { "d": "M22 26H20V17.76l-3.23 3.88a1 1 0 01-1.54 0L12 17.76V26H10V15a1 1 0 01.66-.94 1 1 0 011.11.3L16 19.44l4.23-5.08a1 1 0 011.11-.3A1 1 0 0122 15zM4.16 14.65l-3-1.75a.76.76 0 10-.76 1.32L3.4 16a.76.76 0 10.76-1.31zM8.29 10.52a.73.73 0 001 .27.75.75 0 00.28-1l-1.74-3a.76.76 0 10-1.32.76zM16 9a.76.76 0 00.76-.76V4.76a.76.76 0 10-1.52 0V8.25A.76.76 0 0016 9zM22.68 10.79a.75.75 0 00.37.11.76.76 0 00.66-.38l1.75-3a.76.76 0 00-1.32-.76l-1.74 3A.75.75 0 0022.68 10.79zM31.9 13.18a.76.76 0 00-1-.28l-3 1.75A.76.76 0 0028.6 16l3-1.74A.77.77 0 0031.9 13.18z" } }], "name": "watson--machine-learning", "size": 20 }, "size": 20 },
svg: `<svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="20" height="20" viewBox="0 0 32 32" aria-hidden="true"><path d="M22 26H20V17.76l-3.23 3.88a1 1 0 01-1.54 0L12 17.76V26H10V15a1 1 0 01.66-.94 1 1 0 011.11.3L16 19.44l4.23-5.08a1 1 0 011.11-.3A1 1 0 0122 15zM4.16 14.65l-3-1.75a.76.76 0 10-.76 1.32L3.4 16a.76.76 0 10.76-1.31zM8.29 10.52a.73.73 0 001 .27.75.75 0 00.28-1l-1.74-3a.76.76 0 10-1.32.76zM16 9a.76.76 0 00.76-.76V4.76a.76.76 0 10-1.52 0V8.25A.76.76 0 0016 9zM22.68 10.79a.75.75 0 00.37.11.76.76 0 00.66-.38l1.75-3a.76.76 0 00-1.32-.76l-1.74 3A.75.75 0 0022.68 10.79zM31.9 13.18a.76.76 0 00-1-.28l-3 1.75A.76.76 0 0028.6 16l3-1.74A.77.77 0 0031.9 13.18z"></path></svg>`
},
"16": {
metadata: { "moduleName": "WatsonMachineLearning16", "filepath": "watson--machine-learning/16.js", "descriptor": { "elem": "svg", "attrs": { "xmlns": "http://www.w3.org/2000/svg", "viewBox": "0 0 32 32", "fill": "currentColor", "width": 16, "height": 16 }, "content": [{ "elem": "path", "attrs": { "d": "M22 26H20V17.76l-3.23 3.88a1 1 0 01-1.54 0L12 17.76V26H10V15a1 1 0 01.66-.94 1 1 0 011.11.3L16 19.44l4.23-5.08a1 1 0 011.11-.3A1 1 0 0122 15zM4.16 14.65l-3-1.75a.76.76 0 10-.76 1.32L3.4 16a.76.76 0 10.76-1.31zM8.29 10.52a.73.73 0 001 .27.75.75 0 00.28-1l-1.74-3a.76.76 0 10-1.32.76zM16 9a.76.76 0 00.76-.76V4.76a.76.76 0 10-1.52 0V8.25A.76.76 0 0016 9zM22.68 10.79a.75.75 0 00.37.11.76.76 0 00.66-.38l1.75-3a.76.76 0 00-1.32-.76l-1.74 3A.75.75 0 0022.68 10.79zM31.9 13.18a.76.76 0 00-1-.28l-3 1.75A.76.76 0 0028.6 16l3-1.74A.77.77 0 0031.9 13.18z" } }], "name": "watson--machine-learning", "size": 16 }, "size": 16 },
svg: `<svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="16" height="16" viewBox="0 0 32 32" aria-hidden="true"><path d="M22 26H20V17.76l-3.23 3.88a1 1 0 01-1.54 0L12 17.76V26H10V15a1 1 0 01.66-.94 1 1 0 011.11.3L16 19.44l4.23-5.08a1 1 0 011.11-.3A1 1 0 0122 15zM4.16 14.65l-3-1.75a.76.76 0 10-.76 1.32L3.4 16a.76.76 0 10.76-1.31zM8.29 10.52a.73.73 0 001 .27.75.75 0 00.28-1l-1.74-3a.76.76 0 10-1.32.76zM16 9a.76.76 0 00.76-.76V4.76a.76.76 0 10-1.52 0V8.25A.76.76 0 0016 9zM22.68 10.79a.75.75 0 00.37.11.76.76 0 00.66-.38l1.75-3a.76.76 0 00-1.32-.76l-1.74 3A.75.75 0 0022.68 10.79zM31.9 13.18a.76.76 0 00-1-.28l-3 1.75A.76.76 0 0028.6 16l3-1.74A.77.77 0 0031.9 13.18z"></path></svg>`
},
};
}
ngAfterViewInit() {
const svg = this.elementRef.nativeElement;
svg.setAttribute("xmlns", "http://www.w3.org/2000/svg");
const icon = this.icons[this.size];
const domParser = new DOMParser();
const rawSVG = icon.svg;
const svgElement = domParser.parseFromString(rawSVG, "image/svg+xml").documentElement;
let node = svgElement.firstChild;
while (node) {
// importNode makes a clone of the node
// this ensures we keep looping over the nodes in the parsed document
svg.appendChild(svg.ownerDocument.importNode(node, true));
node = node.nextSibling;
}
const attributes = getAttributes({
width: icon.metadata.descriptor.attrs.height,
height: icon.metadata.descriptor.attrs.height,
viewBox: icon.metadata.descriptor.attrs.viewBox,
title: this.title,
"aria-label": this.ariaLabel,
"aria-labelledby": this.ariaLabelledby,
"aria-hidden": this.ariaHidden,
focusable: this.isFocusable.toString()
});
const attrKeys = Object.keys(attributes);
for (let i = 0; i < attrKeys.length; i++) {
const key = attrKeys[i];
const value = attributes[key];
if (key === "title") {
continue;
}
if (value) {
svg.setAttribute(key, value);
}
}
if (attributes.title) {
const title = document.createElement("title");
title.textContent = attributes.title;
WatsonMachineLearningDirective_1.titleIdCounter++;
title.setAttribute("id", `watson-machine-learning-${WatsonMachineLearningDirective_1.titleIdCounter}`);
svg.appendChild(title);
svg.setAttribute("aria-labelledby", `watson-machine-learning-${WatsonMachineLearningDirective_1.titleIdCounter}`);
}
}
};
WatsonMachineLearningDirective.titleIdCounter = 0;
WatsonMachineLearningDirective.ctorParameters = () => [
{ type: ElementRef }
];
__decorate([
Input(),
__metadata("design:type", String)
], WatsonMachineLearningDirective.prototype, "ariaLabel", void 0);
__decorate([
Input(),
__metadata("design:type", String)
], WatsonMachineLearningDirective.prototype, "ariaLabelledby", void 0);
__decorate([
Input(),
__metadata("design:type", Boolean)
], WatsonMachineLearningDirective.prototype, "ariaHidden", void 0);
__decorate([
Input(),
__metadata("design:type", String)
], WatsonMachineLearningDirective.prototype, "title", void 0);
__decorate([
Input(),
__metadata("design:type", Boolean)
], WatsonMachineLearningDirective.prototype, "isFocusable", void 0);
__decorate([
Input(),
__metadata("design:type", String)
], WatsonMachineLearningDirective.prototype, "size", void 0);
WatsonMachineLearningDirective = WatsonMachineLearningDirective_1 = __decorate([
Directive({
selector: "[ibmIconWatsonMachineLearning]"
}),
__metadata("design:paramtypes", [ElementRef])
], WatsonMachineLearningDirective);
let WatsonMachineLearningModule = class WatsonMachineLearningModule {
};
WatsonMachineLearningModule = __decorate([
NgModule({
declarations: [
WatsonMachineLearningComponent,
WatsonMachineLearningDirective,
],
exports: [
WatsonMachineLearningComponent,
WatsonMachineLearningDirective,
]
})
], WatsonMachineLearningModule);
export { WatsonMachineLearningComponent, WatsonMachineLearningDirective, WatsonMachineLearningModule };