"""
Algorithm discovery for nupunkt.

This module provides tools for exploring algorithmic improvements
while maintaining the core Punkt principles.
"""

from dataclasses import dataclass
from pathlib import Path
from typing import Any, Dict, List


@dataclass
class AlgorithmVariant:
    """Container for algorithm variant configuration."""

    name: str
    description: str
    modifications: Dict[str, Any]

    def apply(self) -> None:
        """Apply this variant's modifications."""
        # This would modify PunktTrainer behavior
        # For now, this is a placeholder
        pass


def discover_improvements(
    base_model_path: str | Path, test_dataset: str | Path, output_dir: str | Path | None = None
) -> List[AlgorithmVariant]:
    """
    Discover potential algorithmic improvements.

    This is a placeholder for future algorithmic exploration
    within the Punkt framework.
    """
    # Future: Test various heuristic improvements
    # - Different abbreviation detection methods
    # - Alternative collocation measures
    # - Enhanced orthographic rules
    # - Context window variations

    variants = []

    return variants


def test_algorithm_variant(
    variant: AlgorithmVariant, train_data: str | Path, test_data: str | Path
) -> Dict[str, Any]:
    """Test a specific algorithm variant."""
    # Apply variant
    variant.apply()

    # Train and evaluate
    # Return results

    return {}
