/**
 * Metric Registry Loader
 * src/metric/index.ts
 *
 * This module serves as the central loader and registry for all string similarity metrics
 * available in the CmpStr library. It ensures that all metric implementations are
 * registered with the MetricRegistry and available for use throughout the application.
 *
 * Each metric algorithm (such as Levenshtein, Jaccard, Dice-Sørensen, etc.) is defined
 * in its own module and is automatically registered with the MetricRegistry upon import.
 * This design allows for easy extensibility: new metrics can be added simply by creating
 * a new module and importing it here. The registry pattern enables dynamic lookup,
 * instantiation, and management of all available metrics at runtime.
 *
 * Features:
 *  - Centralized registration of all built-in string similarity metrics
 *  - Automatic registration via side-effect imports
 *  - Extensible: custom metrics can be registered at runtime via the MetricRegistry API
 *  - Consistent interface for accessing, listing, and managing metrics
 *  - Ensures that all metrics are available for use in the CmpStr API and utilities
 *
 * Native implemented metrics are highly optimized for performance and efficiency,
 * providing fast and reliable string similarity calculations. They will use CmpStr's
 * pooling system to manage resources effectively, ensuring minimal overhead
 * and maximum performance.
 *
 * @author Paul Köhler (komed3)
 * @license MIT
 */
import './Cosine';
import './DamerauLevenshtein';
import './DiceSorensen';
import './Hamming';
import './Jaccard';
import './JaroWinkler';
import './LCS';
import './Levenshtein';
import './NeedlemanWunsch';
import './qGram';
import './SmithWaterman';
export { MetricRegistry, Metric, MetricCls } from './Metric';