@webwriter/neural-network
Version:
Deep learning visualization for feed-forward networks with custom datasets, training and prediction.
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text/typescript
import { LitElementWw } from '@webwriter/lit'
import { CSSResult, TemplateResult, html, css } from 'lit'
import { customElement } from 'lit/decorators.js'
import { consume } from '@lit/context'
import SlCard from "@shoelace-style/shoelace/dist/components/card/card.component.js"
import { globalStyles } from '@/global_styles'
import { themeContext } from '@/contexts/theme_context'
import type { Theme } from '@/types/theme'
export class CCard extends LitElementWw {
static scopedElements = {
"sl-card": SlCard
}
({ context: themeContext, subscribe: true })
accessor theme: Theme
// STYLES - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
static styles: CSSResult[] = [
globalStyles,
css`
:host {
display: block;
width: 100%;
height: 100%;
}
.c-card {
--padding: 5px 15px 15px 15px;
margin: 0;
width: 100%;
height: 100%;
}
.c-card ::slotted(*[slot='content']) {
display: flex;
flex-direction: column;
gap: 10px;
}
`,
]
// RENDER - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
render(): TemplateResult<1> {
return html`
<style>
${this.theme.styles}
</style>
<sl-card class="c-card">
<h1><slot name="title"></slot></h1>
<div>
<slot name="content"> </slot>
</div>
</sl-card>
`
}
}