RandomX Proof-of-Work Hasher
Project description
RandomX
This is a python interface for https://github.com/tevador/randomx , a proof-of-work algorithm optimized for general-purpose CPUs, based on random code execution.
Installation
pip3 install randomx
Quick-Start
import randomx
vm = randomx.RandomX(b'key bytes', full_mem=False, secure=True, large_pages=False)
# full_mem: whether to operate in full mode or light mode
# secure: whether to bound executable sections
# large_pages: whether to place memory in large pages
hash = vm(b'message data')
hashes = [*vm.calculate_hashes([b'message 1', b'message 2', b'message 3'])]
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RandomX-1.1.10.post3.tar.gz
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