#!/usr/bin/env python3
"""
Pattern Recognizer AI Agent for Genome Logic Modeling Project
Responsible for identifying and analyzing patterns in genomic logic
"""

import logging
from typing import Dict, List, Optional
import numpy as np
from sklearn.cluster import DBSCAN
from sklearn.preprocessing import StandardScaler

class PatternRecognizerAI:
    def __init__(self, config: Optional[Dict] = None):
        """Initialize the Pattern Recognizer AI agent."""
        self.config = config or {}
        self.logger = logging.getLogger(__name__)
        
    def identify_patterns(self, data: np.ndarray) -> List[Dict]:
        """Identify patterns in genomic data."""
        self.logger.info("Identifying patterns in genomic data")
        # Implementation here
        pass
        
    def analyze_pattern_significance(self, patterns: List[Dict]) -> List[Dict]:
        """Analyze the statistical significance of identified patterns."""
        self.logger.info("Analyzing pattern significance")
        # Implementation here
        pass
        
    def cluster_patterns(self, patterns: List[Dict]) -> Dict:
        """Cluster similar patterns together."""
        self.logger.info("Clustering patterns")
        # Implementation here
        pass

if __name__ == "__main__":
    # Set up logging
    logging.basicConfig(level=logging.INFO)
    
    # Initialize and test the agent
    recognizer = PatternRecognizerAI()
    # Add test code here