/* SciML Documentation Custom Styles */
/* Workshop-inspired scientific documentation enhancements */

/* Scientific equation styling */
.arithmatex {
  margin: 1em 0;
}

/* Code block enhancements for scientific computing */
.highlight .hll {
  background-color: #ffffcc
}

.highlight .c {
  color: #408080;
  font-style: italic
}

/* Comment */
.highlight .k {
  color: #008000;
  font-weight: bold
}

/* Keyword */
.highlight .o {
  color: #666666
}

/* Operator */
.highlight .cm {
  color: #408080;
  font-style: italic
}

/* Comment.Multiline */
.highlight .cp {
  color: #BC7A00
}

/* Comment.Preproc */
.highlight .c1 {
  color: #408080;
  font-style: italic
}

/* Comment.Single */
.highlight .cs {
  color: #408080;
  font-style: italic
}

/* Comment.Special */

/* JAX/NumPy array styling */
.highlight .nd {
  color: #AA22FF
}

/* Name.Decorator */
.highlight .nf {
  color: #0000FF
}

/* Name.Function */
.highlight .nn {
  color: #0000FF;
  font-weight: bold
}

/* Name.Namespace */

/* Scientific notation and mathematical symbols */
.math {
  font-family: 'Computer Modern', 'Latin Modern Math', serif;
}

/* Enhanced admonition styling for scientific content */
.md-typeset .admonition.note {
  border-left: 4px solid #448aff;
}

.md-typeset .admonition.tip {
  border-left: 4px solid #00c853;
}

.md-typeset .admonition.warning {
  border-left: 4px solid #ff9100;
}

.md-typeset .admonition.danger {
  border-left: 4px solid #ff5252;
}

/* GPU/CUDA specific styling */
.gpu-info {
  background: linear-gradient(135deg, #76b900, #8bc34a);
  color: white;
  padding: 1em;
  border-radius: 4px;
  margin: 1em 0;
}

.cuda-warning {
  background: linear-gradient(135deg, #ff9800, #ffc107);
  color: #333;
  padding: 1em;
  border-radius: 4px;
  margin: 1em 0;
}

/* Neural network architecture diagrams */
.architecture-diagram {
  text-align: center;
  margin: 2em 0;
}

.architecture-diagram svg {
  max-width: 100%;
  height: auto;
}

/* Performance metrics styling */
.performance-metrics {
  display: grid;
  grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
  gap: 1em;
  margin: 1em 0;
}

.metric-card {
  background: var(--md-default-bg-color);
  border: 1px solid var(--md-default-fg-color--lightest);
  border-radius: 4px;
  padding: 1em;
  text-align: center;
}

.metric-value {
  font-size: 2em;
  font-weight: bold;
  color: var(--md-primary-fg-color);
}

.metric-label {
  font-size: 0.9em;
  color: var(--md-default-fg-color--light);
  margin-top: 0.5em;
}

/* Scientific computing specific table styling */
.benchmark-table {
  width: 100%;
  border-collapse: collapse;
  margin: 1em 0;
}

.benchmark-table th,
.benchmark-table td {
  padding: 0.75em;
  text-align: left;
  border-bottom: 1px solid var(--md-default-fg-color--lightest);
}

.benchmark-table th {
  background: var(--md-default-bg-color--light);
  font-weight: bold;
}

.benchmark-table .metric {
  font-family: 'Roboto Mono', monospace;
  font-weight: bold;
}

/* Code annotation enhancements */
.md-typeset .md-annotation {
  font-size: 0.8em;
  line-height: 1.4;
}

/* Responsive design for mobile */
@media screen and (max-width: 768px) {
  .performance-metrics {
    grid-template-columns: 1fr;
  }

  .architecture-diagram {
    overflow-x: auto;
  }
}

/* Dark mode specific adjustments */
[data-md-color-scheme="slate"] {
  .gpu-info {
    background: linear-gradient(135deg, #2e7d32, #4caf50);
  }

  .cuda-warning {
    background: linear-gradient(135deg, #f57c00, #ff9800);
    color: white;
  }

  .metric-card {
    background: var(--md-code-bg-color);
  }
}

/* Print styles for documentation */
@media print {

  .md-header,
  .md-tabs,
  .md-footer {
    display: none;
  }

  .md-content {
    margin: 0;
  }

  .architecture-diagram {
    page-break-inside: avoid;
  }
}