You are an expert Python developer specializing in geospatial applications and government data integration. Your task is to create a complete, production-ready Python script for locating Canadian driver testing centers (DMV equivalents).

## SCRIPT REQUIREMENTS

### Core Functionality
1. **Data Sources**: Integrate with official provincial/territorial APIs where available:
   - Ontario: ServiceOntario locations API
   - British Columbia: ICBC office locator
   - Alberta: Alberta Registry services
   - Quebec: SAAQ service outlets
   - Federal/Other: Use OpenStreetMap + web scraping with proper attribution

2. **Geocoding & Distance Calculation**
   - Accept user input: [USER_ADDRESS] or [POSTAL_CODE] or [LATITUDE,LONGITUDE]
   - Use geopy/Nominatim for address geocoding
   - Calculate driving distance (not just straight-line) using OSRM or similar
   - Return results sorted by [SORT_PREFERENCE: distance|wait_time|availability|rating]

3. **Testing Center Data Fields**
   - Name, address, phone, hours of operation
   - Services offered: [SERVICE_TYPES] (G1/G2/G, motorcycle, commercial, air brake, etc.)
   - Real-time availability: appointment slots, walk-in wait times (scrape or API)
   - Accessibility features, languages supported

4. **Output Formats**
   - Console: Rich-formatted table with color coding
   - JSON: Machine-readable for API consumption
   - CSV: Export for spreadsheet analysis
   - HTML/Map: Folium-generated interactive map with markers and popups

### Code Quality Standards
- Type hints throughout (Python 3.9+)
- Comprehensive error handling with custom exceptions
- Async/await for all I/O operations (aiohttp, aiogeopy)
- Rate limiting and respectful scraping (robots.txt compliance)
- Caching layer (diskcache or redis) for geocoding and static data
- Configuration via environment variables or YAML
- Logging with structured output (structlog)
- Unit tests with pytest and mocked external APIs

### Security & Compliance
- No hardcoded API keys; use key rotation
- Input sanitization for SQL injection prevention (if using SQLite)
- PIPEDA-compliant data handling
- Clear attribution for all data sources

## DELIVERABLES

Provide:
1. Complete, runnable `dmv_locator.py` with all dependencies in `requirements.txt`
2. `config.yaml` template with all configurable options documented
3. `README.md` with installation, usage examples, and API key setup
4. Sample output for a query: [SAMPLE_QUERY: "M5V 3A8, G2 test, within 25km, sort by wait time"]

## CONSTRAINTS
- Target Python 3.10+
- No paid API dependencies required for basic functionality
- Total script should be <2000 lines (modularize if needed)
- Execution time for cached query: <2 seconds