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feat: implement categorical comparison analysis on real-world data
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‎docs/README.md‎

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# torchTextClassifiers Documentation
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This directory contains the documentation generation system for torchTextClassifiers.
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## Quick Start
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1. **Install dependencies:**
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```bash
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uv sync --group docs
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```
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2. **Generate and serve documentation:**
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```bash
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uv run python generate_docs.py --all
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```
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3. **Open your browser to http://localhost:8000**
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## Commands
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- `uv run python generate_docs.py --build` - Generate documentation
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- `uv run python generate_docs.py --serve` - Serve on localhost:8000
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- `uv run python generate_docs.py --all` - Build and serve
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- `uv run python generate_docs.py --clean` - Clean build directory
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- `uv run python generate_docs.py --serve --port 8080` - Custom port
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## Features
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✅ **Auto-generated API docs** from docstrings
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✅ **Beautiful HTML theme** with navigation
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✅ **Architecture diagrams** and examples
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✅ **Search functionality**
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✅ **Mobile-responsive design**
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✅ **Copy-to-clipboard** code examples
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✅ **Fast local development** server
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## Documentation Structure
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```
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docs/
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├── source/ # Sphinx source files
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│ ├── conf.py # Sphinx configuration
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│ ├── index.rst # Main documentation page
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│ ├── api.rst # Auto-generated API reference
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│ ├── examples.rst # Usage examples and tutorials
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│ ├── architecture.rst # Framework architecture
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│ └── installation.rst # Installation guide
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├── build/ # Generated documentation
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│ └── html/ # HTML output
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└── README.md # This file
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```
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## Customization
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The documentation system is highly customizable:
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- **Themes:** Edit `source/conf.py` to change Sphinx theme
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- **Styling:** Modify `source/_static/custom.css` for custom CSS
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- **JavaScript:** Add features in `source/_static/custom.js`
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- **Content:** Edit `.rst` files in `source/` directory
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## Dependencies
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Documentation dependencies are managed through uv and defined in `pyproject.toml`:
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```toml
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[dependency-groups]
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docs = [
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"sphinx>=5.0.0",
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"sphinx-rtd-theme>=1.2.0",
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"sphinx-autodoc-typehints>=1.19.0",
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"sphinxcontrib-napoleon>=0.7",
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"sphinx-copybutton>=0.5.0",
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"myst-parser>=0.18.0",
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"sphinx-design>=0.3.0"
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]
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```
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## Development Workflow
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1. **Make changes** to docstrings in source code
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2. **Rebuild docs** with `uv run python generate_docs.py --build`
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3. **Preview changes** with `uv run python generate_docs.py --serve`
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4. **Iterate** until satisfied
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The documentation automatically extracts docstrings from the codebase, so keeping docstrings up-to-date will automatically improve the documentation.

‎docs/source/_static/custom.css‎

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/* Custom CSS for torchTextClassifiers documentation */
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/* Improve code block styling */
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.highlight {
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background-color: #f8f9fa;
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border: 1px solid #e9ecef;
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border-radius: 6px;
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padding: 1rem;
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margin: 1rem 0;
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}
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/* Architecture diagrams */
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.architecture-diagram {
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font-family: monospace;
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background-color: #f6f8fa;
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padding: 1rem;
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border-radius: 6px;
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overflow-x: auto;
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white-space: pre;
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}
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/* API reference styling */
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.api-reference .class {
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border-left: 4px solid #2980b9;
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padding-left: 1rem;
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margin: 1rem 0;
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}
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/* Examples styling */
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.example-section {
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background-color: #f8f9fa;
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border: 1px solid #dee2e6;
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border-radius: 8px;
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padding: 1.5rem;
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margin: 2rem 0;
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}
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/* Performance tips */
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.performance-tip {
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background-color: #e8f5e8;
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border-left: 4px solid #28a745;
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padding: 1rem;
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margin: 1rem 0;
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}
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/* Warning boxes */
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.warning {
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background-color: #fff3cd;
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border-left: 4px solid #ffc107;
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padding: 1rem;
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margin: 1rem 0;
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}
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/* Navigation improvements */
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.wy-nav-content {
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max-width: 1200px;
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}
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/* Table styling */
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table {
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margin: 1rem 0;
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border-collapse: collapse;
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width: 100%;
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}
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table th, table td {
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border: 1px solid #dee2e6;
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padding: 0.75rem;
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text-align: left;
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}
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table th {
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background-color: #f8f9fa;
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font-weight: 600;
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}
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/* Responsive improvements */
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@media (max-width: 768px) {
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.architecture-diagram {
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font-size: 0.8rem;
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}
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.wy-nav-content {
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margin-left: 0;
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}
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}
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/* Syntax highlighting improvements */
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.highlight .k { color: #0000ff; } /* Keywords */
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.highlight .s { color: #008000; } /* Strings */
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.highlight .c { color: #808080; } /* Comments */
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.highlight .n { color: #000000; } /* Names */
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/* Footer styling */
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.footer {
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margin-top: 2rem;
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padding-top: 1rem;
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border-top: 1px solid #dee2e6;
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color: #6c757d;
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font-size: 0.9rem;
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}

‎docs/source/_static/custom.js‎

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// Custom JavaScript for torchTextClassifiers documentation
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document.addEventListener('DOMContentLoaded', function() {
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// Add copy buttons to code blocks
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addCopyButtons();
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// Improve navigation
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improveNavigation();
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// Add search enhancements
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enhanceSearch();
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});
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function addCopyButtons() {
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const codeBlocks = document.querySelectorAll('pre');
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codeBlocks.forEach(function(block) {
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const button = document.createElement('button');
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button.className = 'copy-button';
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button.textContent = 'Copy';
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button.style.cssText = `
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position: absolute;
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top: 8px;
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right: 8px;
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background: #007bff;
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color: white;
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border: none;
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border-radius: 4px;
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padding: 4px 8px;
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font-size: 12px;
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cursor: pointer;
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opacity: 0.7;
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transition: opacity 0.2s;
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`;
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button.addEventListener('click', function() {
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const code = block.querySelector('code');
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const text = code ? code.textContent : block.textContent;
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navigator.clipboard.writeText(text).then(function() {
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button.textContent = 'Copied!';
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setTimeout(function() {
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button.textContent = 'Copy';
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}, 2000);
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});
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});
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button.addEventListener('mouseenter', function() {
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button.style.opacity = '1';
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});
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button.addEventListener('mouseleave', function() {
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button.style.opacity = '0.7';
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});
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block.style.position = 'relative';
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block.appendChild(button);
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});
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}
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function improveNavigation() {
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// Add smooth scrolling to anchor links
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const anchorLinks = document.querySelectorAll('a[href^="#"]');
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anchorLinks.forEach(function(link) {
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link.addEventListener('click', function(e) {
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e.preventDefault();
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const target = document.querySelector(this.getAttribute('href'));
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if (target) {
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target.scrollIntoView({
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behavior: 'smooth',
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block: 'start'
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});
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}
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});
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});
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// Highlight current section in navigation
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highlightCurrentSection();
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}
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function highlightCurrentSection() {
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const sections = document.querySelectorAll('h1, h2, h3');
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const navLinks = document.querySelectorAll('.wy-menu-vertical a');
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function updateActiveLink() {
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let current = '';
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sections.forEach(function(section) {
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const rect = section.getBoundingClientRect();
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if (rect.top <= 100) {
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current = section.id;
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}
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});
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navLinks.forEach(function(link) {
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link.classList.remove('current');
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if (link.getAttribute('href') === '#' + current) {
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link.classList.add('current');
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}
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});
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}
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window.addEventListener('scroll', updateActiveLink);
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updateActiveLink();
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}
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function enhanceSearch() {
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// Add keyboard shortcuts for search
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document.addEventListener('keydown', function(e) {
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// Ctrl+K or Cmd+K to focus search
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if ((e.ctrlKey || e.metaKey) && e.key === 'k') {
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e.preventDefault();
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const searchInput = document.querySelector('input[name="q"]');
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if (searchInput) {
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searchInput.focus();
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}
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}
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// Escape to clear search
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if (e.key === 'Escape') {
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const searchInput = document.querySelector('input[name="q"]');
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if (searchInput && searchInput === document.activeElement) {
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searchInput.value = '';
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searchInput.blur();
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}
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}
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});
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}
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// Add version info to footer
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function addVersionInfo() {
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const footer = document.querySelector('.rst-footer-buttons');
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if (footer) {
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const versionInfo = document.createElement('div');
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versionInfo.innerHTML = `
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<div class="footer">
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Built with ❤️ by the torchTextClassifiers team |
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<a href="https://github.com/your-org/torch-fastText">View on GitHub</a>
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</div>
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`;
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footer.parentNode.insertBefore(versionInfo, footer.nextSibling);
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}
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}
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// Initialize additional features
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document.addEventListener('DOMContentLoaded', function() {
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addVersionInfo();
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});

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