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import hashlib
import random
import time
# Dummy lightweight LLM model function
def lightweight_llm(seed, difficulty_prefix):
"""
Simulate the LLM finding a candidate hash starting with a given pattern.
The seed is used to generate a random number and the difficulty_prefix is what we aim for.
"""
random.seed(seed + time.time())
candidate = f"{random.getrandbits(256):064x}"
if candidate.startswith(difficulty_prefix):
return candidate
return None
def mine_block(block_data, difficulty_prefix='000'):
"""
Simplified mining function using a lightweight LLM model.
"""
seed = random.randint(0, 1 << 32)
while True:
candidate_hash = lightweight_llm(seed, difficulty_prefix)
if candidate_hash:
# Incorporate block data and candidate hash
block_header = f"{block_data}{candidate_hash}"
final_hash = hashlib.sha256(block_header.encode()).hexdigest()
if final_hash.startswith(difficulty_prefix):
print(f"Block mined with candidate hash: {candidate_hash}")
return final_hash
# Optionally update the seed to vary the input
seed = random.randint(0, 1 << 32)
# Example block data and mining process
if __name__ == '__main__':
block_data = "previous_hash:0000000000000000000, transactions: [...]"
print("Starting mining process...")
new_block_hash = mine_block(block_data, difficulty_prefix='0000')
print(f"New block hash: {new_block_hash}")
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