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@webwriter/neural-network

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Deep learning visualization for feed-forward networks with custom datasets, training and prediction.

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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 } @consume({ 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> ` } }