@webwriter/neural-network/src/global_styles.ts

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

import { css } from 'lit'

export const globalStyles = css`
  * {
    box-sizing: border-box;
    margin: 0;
    padding: 0;
    font-family: var(--sl-font-sans);
  }

  h1,
  h2,
  h3,
  h4 {
    text-transform: uppercase;
  }

  h1 {
    font-size: 18px;
    margin: 10px 0 15px 0;
  }

  h2 {
    font-size: 16px;
    margin: 15px 0 5px 0;
  }

  h3 {
    font-size: 14px;
    margin: 15px 0 5px 0;
  }

  h4 {
    font-size: 12px;
    margin: 15px 0 5px 0;
  }

  .hidden {
    display: none !important;
  }

  .hscroll-container {
    width: 100%;
    overflow-x: auto;
    white-space: nowrap;
  }

  .button-group {
    width: 100%;
    display: flex;
    justify-content: space-between;
    gap: 20px;
    flex-wrap: wrap;
  }

  .button-group * {
    flex-grow: 1;
  }

  .tag-group {
    width: 100%;
    display: flex;
    justify-content: flex-start;
    align-items: center;
    gap: 10px;
    flex-wrap: wrap;
  }

  sl-details::part(content) {
    display: flex;
    flex-direction: column !important;
    gap: 10px;
  }

  sl-input {
    max-width: 100%;
  }

  sl-progress-bar {
    --height: 7px;
    --track-color: var(--sl-color-primary-100);
    --indicator-color: var(--sl-color-primary-600);
    margin-bottom: 10px;
  }

  sl-range {
    --track-color-active: var(--sl-color-primary-600);
    --track-color-inactive: var(--sl-color-primary-100);
  }

  sl-switch::part(base) {
    display: inline-flex;
    align-items: flex-start;
  }

  sl-tag[draggable='true'] {
    cursor: grab;
  }

  sl-tooltip {
    max-width: 100%;
  }
`