I have a hash, e.g.
552c51576e2a6dec462b0d56af8c31713e26a763c0e2a3d48ebbf4b99958eeba. This hash hashed again, is
Now I only know the last hash
39f20b3e5cc0181d6fbe2a4d52c7b3c315e8526e35da3cd0b18e25d10b670dc3. It matches value
1.58. I do not know the first hash, as this is a security feature (that all hashs are generated and we go from top to bottom to not re-calculate the hashes).
A new round starts. last round had hash
39f20b3e5cc0181d6fbe2a4d52c7b3c315e8526e35da3cd0b18e25d10b670dc3 and resulted with
The next round does not reveal the hash at the start, but I want to guess the resulting value already, which should be
4.06. When the values gets revealed, I also get the hash.
Do you understand what I want to achieve?
I have a hash of a hash, which results in a value. Now, my AI system should predict the next value which is based on the hash which got hashed and then resulted in e.g.
1.58. I know a 'next hash' of the current input hash (which I don't know) and the 'previous' value of the 'next' hash. Then, I want to guess the current value (without knowing its hash already).
Any idea how I could implement this in python or what method or keyword I should do research on? I am absolute new to AI and do not know what I need to look up for that project.