/* Accessibility styles for jupyter2hugo */

/* Admonition styles */
.admonition {
  margin: 1.5rem 0;
  padding: 1rem;
  border-left: 4px solid;
  border-radius: 4px;
  background-color: #f8f9fa;
}

.admonition-title {
  font-weight: bold;
  margin-top: 0;
  margin-bottom: 0.5rem;
}

.admonition-content {
  margin: 0;
}

/* Type-specific colors (WCAG AA compliant) */
.admonition-note {
  border-color: #0066cc;
  background-color: #e6f2ff;
}

.admonition-tip, .admonition-hint {
  border-color: #00a854;
  background-color: #e6f7f0;
}

.admonition-warning, .admonition-caution {
  border-color: #fa8c16;
  background-color: #fff7e6;
}

.admonition-danger, .admonition-error {
  border-color: #cf1322;
  background-color: #fff1f0;
}

.admonition-important, .admonition-attention {
  border-color: #722ed1;
  background-color: #f9f0ff;
}

/* YouTube embed responsive */
.youtube-embed {
  margin: 1.5rem 0;
}

/* Figure styles */
.figure {
  margin: 1.5rem auto;
  text-align: center;
}

.figure img {
  max-width: 100%;
  height: auto;
}

.figure-caption {
  margin-top: 0.5rem;
  font-size: 0.9em;
  color: #666;
  font-style: italic;
}

/* Code block improvements */
pre {
  overflow-x: auto;
  padding: 1rem;
  border-radius: 4px;
}

/* Math equation spacing */
.math {
  overflow-x: auto;
  overflow-y: hidden;
}

/* Dark mode support */
@media (prefers-color-scheme: dark) {
  .admonition {
    background-color: #1f1f1f;
    color: #e0e0e0;
  }

  .admonition-note {
    background-color: #002b4d;
  }

  .admonition-tip, .admonition-hint {
    background-color: #003d26;
  }

  .admonition-warning, .admonition-caution {
    background-color: #4d2800;
  }

  .admonition-danger, .admonition-error {
    background-color: #4d0a0f;
  }

  .admonition-important, .admonition-attention {
    background-color: #2b1652;
  }

  .figure-caption {
    color: #b0b0b0;
  }
}