However, I think what you are trying to achieve is using the known WIF key part and tumble searching the remaining characters to find the WIF private key. I am able to again, use the known key part and add a randomize search for the remaining part and output this in hexadecimal format. It is not any faster than a general hexadecimal search.
I am not sure if you can generate a WIF private key with a check sum and convert/compare ; and then print the WIF key again in the same script.
I do agree that this puzzle is about testing the strength and secure-ness of bitcoin with new, creative code.
This is a basic python script and variation of VanityGen:
import base58
import binascii
from bitcoin import privtopub, pubtoaddr
import sys
vanity = "13zb1hQbWVsc2S7ZTZnP2G4undNNpdh5so"
btc_addr = ""
while btc_addr[:len(vanity)] != vanity:
prefix = "KwDiBf89QgGbjEhKnhXJuH7LrciVrZi3qa"
alphabet = "123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz"
postfix = ''.join(secrets.choice(alphabet) for i in range(18))
first_encode = base58.b58decode(prefix + postfix)
private_key_full = binascii.hexlify(first_encode)
private_key = private_key_full[2:-8]
btc_pubkey = privtopub(private_key.decode())
btc_addr = pubtoaddr(btc_pubkey)
print(private_key.decode())
print(btc_pubkey)
print(btc_addr)
sys.exit()
I genuinely would like to know .. are any of these python scripts working any faster than known C programs like keyhunt or vanitygen etc? I mean the slowest I've ever seen to date was Brainflayer as it starts with pass->key->...... but to be honest i would be surprised if i see a fast python one getting the same speed as for example keyhunt .. plz post your speed results .. much appreciated