1 unstable release
Uses old Rust 2015
0.1.0 | Apr 27, 2017 |
---|
#86 in #genetic
Used in mlem-asm
31KB
503 lines
MLeM
The Machine Learning Machine is a 64-bit virtual Harvard-arch machine for evolutionary algorithms to program against.
The machine has eight GPRs (R0
through R7
), a hardware stack with SP and BP,
and hardware I/O with Input and Output.
These I/O instructions write out whole u64
s in big endian using byteorder
.
Example
This example shows a simple program being executed by the MLeM managed execution routine.
use mlem::{execute, Instruction, Address, Register, Outcome};
let input = vec![2, 2, 2, 2];
let expected = vec![4, 0];
let program = vec![
// Get all input values
Instruction::Input(Address::RegAbs(Register::R0)),
Instruction::Input(Address::RegAbs(Register::R1)),
Instruction::Input(Address::RegAbs(Register::R2)),
Instruction::Input(Address::RegAbs(Register::R3)),
// Perform arithmetic
Instruction::Add(Address::RegAbs(Register::R0), Address::RegAbs(Register::R1)),
Instruction::Sub(Address::RegAbs(Register::R2), Address::RegAbs(Register::R3)),
// Output computed values
Instruction::Output(Address::RegAbs(Register::R0)),
Instruction::Output(Address::RegAbs(Register::R2)),
// Halt
Instruction::Halt
];
//!
let (outcome, _, output) = execute(program, input);
assert!(outcome == Outcome::Halt, "Program did not successfully halt! {:?}", outcome);
assert!(output == expected, "Program did not produce {:?} as expected, but rather {:?}.", expected, output);
Dependencies
~2.5MB
~61K SLoC