BTC PUZZLE MULTI ADDRESS FINDER WITH MACHINE LEARNING

This script is designed to search for Bitcoin private keys that match a list of target Bitcoin addresses. It uses a combination of cryptographic operations, multi-threading, and machine learning techniques to efficiently search through a large key space. Machine Learning Predictor (MLPredictor)
This script implements a machine learning approach to guide the search:
Divides the search space into segments (1000 by default)
Tracks the hit rate and pattern matches in each segment
Uses weighted patterns (specific characters at specific positions) to prioritize promising segments
Adaptive updates segment scores based on:
70% hit rate (actual matches found)
30% pattern score (matches to desired address pattern)
Multi-threaded Search
Creates multiple worker threads (equal to the number of CPU cores)
Each thread:
Selects a segment to search based on ML predictions
Generates a random key in that segment
Checks if the key matches the target address
Updates the ML model with the results
Target Address
The script includes multiple hard-coded Bitcoin addresses to search, if any of them matches the target address then the program stops and prints the result