import mnemonic
import secp256k1 as ice
import multiprocessing
import time
import random

# Configuration
TARGET_HASH160 = "f6f5431d25bbf7b12e8add9af5e3475c44a0a5b8"  # target hash160
FIXED_WORDS = ["abandon"] * 16 + ["about"]  # Fixed part of mnemonic
LANGUAGE = 'english'
BATCH_SIZE = 10000  # Print progress every X valid attempts

# Initialize components
mnemo = mnemonic.Mnemonic(LANGUAGE)
wordlist = mnemo.wordlist
target_binary = bytes.fromhex(TARGET_HASH160)

# Shared counters
attempts = multiprocessing.Value('i', 0)        # Total tries
valid_attempts = multiprocessing.Value('i', 0)  # Valid mnemonics only
start_time = time.time()
lock = multiprocessing.Lock()

def worker(result_queue):
    while True:
        try:
            # Generate 7 random words
            random_words = random.choices(wordlist, k=7)

            # Build full mnemonic phrase
            candidate_words = FIXED_WORDS + random_words
            mnemonic_phrase = ' '.join(candidate_words)

            #Skip if mnemonic is not valid
            if not mnemo.check(mnemonic_phrase):
                with lock:
                    attempts.value += 1  # Count total attempts
                continue

            # Valid mnemonic found
            with lock:
                attempts.value += 1
                valid_attempts.value += 1

                # Print progress based on valid attempts
                if valid_attempts.value % BATCH_SIZE == 0:
                    elapsed = time.time() - start_time
                    rate = valid_attempts.value / max(1, elapsed)
                    print(f"[Valid] {valid_attempts.value:,} | {rate:,.0f} valid/sec | Current: {' '.join(random_words)}")

            # Convert to private key
            entropy = mnemo.to_entropy(mnemonic_phrase.split())
            private_key_int = int.from_bytes(entropy, 'big')

            # Generate hash160
            h160 = ice.privatekey_to_h160(0, True, private_key_int)

            # Check for match
            if h160 == target_binary:
                result_queue.put((
                    True,
                    mnemonic_phrase,
                    private_key_int.to_bytes(32, 'big').hex(),
                    h160.hex()
                ))
                return

        except Exception as e:
            continue  # Skip on error

if __name__ == '__main__':
    print(f"Starting random mnemonic search with {multiprocessing.cpu_count()} workers...")

    result_queue = multiprocessing.Queue()
    processes = []

    # Start workers
    for _ in range(multiprocessing.cpu_count()):
        p = multiprocessing.Process(target=worker, args=(result_queue,))
        processes.append(p)
        p.start()

    # Wait for results
    while True:
        success, mnemonic_phrase, privkey_hex, found_hash160 = result_queue.get()
        if success:
            print("\nSUCCESS! Found matching mnemonic:")
            print(f"Full Mnemonic: {mnemonic_phrase}")
            print(f"Private Key: {privkey_hex}")
            print(f"Hash160: {found_hash160}")

            # Terminate all workers
            for p in processes:
                p.terminate()
            break

    # Cleanup
    for p in processes:
        p.join()

    elapsed = time.time() - start_time
    print(f"\nTotal attempts: {attempts.value:,}")
    print(f"Valid mnemonics tested: {valid_attempts.value:,}")
    print(f"Time elapsed: {elapsed:.2f} seconds")
    print(f"Speed: {valid_attempts.value / max(1, elapsed):,.0f} valid mnemonics/sec")

import mnemonic
import secp256k1 as ice
import multiprocessing
import time
import random

# Configuration
TARGET_HASH160 = "f6f5431d25bbf7b12e8add9af5e3475c44a0a5b8"  # target hash160
FIXED_WORDS = ["abandon"] * 16 + ["about"]  # Fixed part of mnemonic
LANGUAGE = 'english'
BATCH_SIZE = 10000  # Print progress every X valid attempts

# Initialize components
mnemo = mnemonic.Mnemonic(LANGUAGE)
wordlist = mnemo.wordlist
target_binary = bytes.fromhex(TARGET_HASH160)

# Shared counters
attempts = multiprocessing.Value('i', 0)        # Total tries
valid_attempts = multiprocessing.Value('i', 0)  # Valid mnemonics only
start_time = time.time()
lock = multiprocessing.Lock()

def worker(result_queue):
    while True:
        try:
            # Generate 7 random words
            random_words = random.choices(wordlist, k=7)

            # Build full mnemonic phrase
            candidate_words = FIXED_WORDS + random_words
            mnemonic_phrase = ' '.join(candidate_words)

            #Skip if mnemonic is not valid
            if not mnemo.check(mnemonic_phrase):
                with lock:
                    attempts.value += 1  # Count total attempts
                continue

            # Valid mnemonic found
            with lock:
                attempts.value += 1
                valid_attempts.value += 1

                # Print progress based on valid attempts
                if valid_attempts.value % BATCH_SIZE == 0:
                    elapsed = time.time() - start_time
                    rate = valid_attempts.value / max(1, elapsed)
                    print(f"[Valid] {valid_attempts.value:,} | {rate:,.0f} valid/sec | Current: {' '.join(random_words)}")

            # Convert to private key
            entropy = mnemo.to_entropy(mnemonic_phrase.split())
            private_key_int = int.from_bytes(entropy, 'big')

            # Generate hash160
            h160 = ice.privatekey_to_h160(0, True, private_key_int)

            # Check for match
            if h160 == target_binary:
                result_queue.put((
                    True,
                    mnemonic_phrase,
                    private_key_int.to_bytes(32, 'big').hex(),
                    h160.hex()
                ))
                return

        except Exception as e:
            continue  # Skip on error

if __name__ == '__main__':
    print(f"Starting random mnemonic search with {multiprocessing.cpu_count()} workers...")

    result_queue = multiprocessing.Queue()
    processes = []

    # Start workers
    for _ in range(multiprocessing.cpu_count()):
        p = multiprocessing.Process(target=worker, args=(result_queue,))
        processes.append(p)
        p.start()

    # Wait for results
    while True:
        success, mnemonic_phrase, privkey_hex, found_hash160 = result_queue.get()
        if success:
            print("\nSUCCESS! Found matching mnemonic:")
            print(f"Full Mnemonic: {mnemonic_phrase}")
            print(f"Private Key: {privkey_hex}")
            print(f"Hash160: {found_hash160}")

            # Terminate all workers
            for p in processes:
                p.terminate()
            break

    # Cleanup
    for p in processes:
        p.join()

    elapsed = time.time() - start_time
    print(f"\nTotal attempts: {attempts.value:,}")
    print(f"Valid mnemonics tested: {valid_attempts.value:,}")
    print(f"Time elapsed: {elapsed:.2f} seconds")
    print(f"Speed: {valid_attempts.value / max(1, elapsed):,.0f} valid mnemonics/sec")

import mnemonic
import secp256k1 as ice
import multiprocessing
import time
import random

# Configuration
TARGET_HASH160 = "f6f5431d25bbf7b12e8add9af5e3475c44a0a5b8"  # target hash160
FIXED_WORDS = ["abandon"] * 16 + ["about"]  # Fixed part of mnemonic
LANGUAGE = 'english'
BATCH_SIZE = 10000  # Print progress every X valid attempts

# Initialize components
mnemo = mnemonic.Mnemonic(LANGUAGE)
wordlist = mnemo.wordlist
target_binary = bytes.fromhex(TARGET_HASH160)

# Shared counters
attempts = multiprocessing.Value('i', 0)        # Total tries
valid_attempts = multiprocessing.Value('i', 0)  # Valid mnemonics only
start_time = time.time()
lock = multiprocessing.Lock()

def worker(result_queue):
    while True:
        try:
            # Generate 7 random words
            random_words = random.choices(wordlist, k=7)

            # Build full mnemonic phrase
            candidate_words = FIXED_WORDS + random_words
            mnemonic_phrase = ' '.join(candidate_words)

            #Skip if mnemonic is not valid
            if not mnemo.check(mnemonic_phrase):
                with lock:
                    attempts.value += 1  # Count total attempts
                continue

            # Valid mnemonic found
            with lock:
                attempts.value += 1
                valid_attempts.value += 1

                # Print progress based on valid attempts
                if valid_attempts.value % BATCH_SIZE == 0:
                    elapsed = time.time() - start_time
                    rate = valid_attempts.value / max(1, elapsed)
                    print(f"[Valid] {valid_attempts.value:,} | {rate:,.0f} valid/sec | Current: {' '.join(random_words)}")

            # Convert to private key
            entropy = mnemo.to_entropy(mnemonic_phrase.split())
            private_key_int = int.from_bytes(entropy, 'big')

            # Generate hash160
            h160 = ice.privatekey_to_h160(0, True, private_key_int)

            # Check for match
            if h160 == target_binary:
                result_queue.put((
                    True,
                    mnemonic_phrase,
                    private_key_int.to_bytes(32, 'big').hex(),
                    h160.hex()
                ))
                return

        except Exception as e:
            continue  # Skip on error

if __name__ == '__main__':
    print(f"Starting random mnemonic search with {multiprocessing.cpu_count()} workers...")

    result_queue = multiprocessing.Queue()
    processes = []

    # Start workers
    for _ in range(multiprocessing.cpu_count()):
        p = multiprocessing.Process(target=worker, args=(result_queue,))
        processes.append(p)
        p.start()

    # Wait for results
    while True:
        success, mnemonic_phrase, privkey_hex, found_hash160 = result_queue.get()
        if success:
            print("\nSUCCESS! Found matching mnemonic:")
            print(f"Full Mnemonic: {mnemonic_phrase}")
            print(f"Private Key: {privkey_hex}")
            print(f"Hash160: {found_hash160}")

            # Terminate all workers
            for p in processes:
                p.terminate()
            break

    # Cleanup
    for p in processes:
        p.join()

    elapsed = time.time() - start_time
    print(f"\nTotal attempts: {attempts.value:,}")
    print(f"Valid mnemonics tested: {valid_attempts.value:,}")
    print(f"Time elapsed: {elapsed:.2f} seconds")
    print(f"Speed: {valid_attempts.value / max(1, elapsed):,.0f} valid mnemonics/sec")