Compilation of an extended lambda-calculus to minimal stack style virtual machine.
Things to be done in order to a have a complete POC:
- Function application (not partial one)
- Sum data covering Inl, Inr and Case
- Product data covering Pair, First and Second
- Code Optimisation
- Recursive function
- Partial evaluation
pure source
>>= transpile
<&> expand
>>= optimise
<&> simplify
<&> normalise
The transpilation takes a lambda-calculus with recursion, sum and product data and produces the corresponding Michelson code.
Expansion is a de-normalisation operation building a source code based on a tree from a one which is a DAG.
For instance, a code like:
IF_LEFT A B ; C
becomes
IF_LEFT { A ; C } { B ; C }
This stage provides an optimised version of the initial Michelson source code. This optimisation is done thanks to a symbolic evaluation.
For instance, a code like:
LEFT; IF_LEFT B C
becomes
B
The simplification is the process which detects patterns and apply rewriting rules.
For instance, a code like:
SWAP; SWAP; C
becomes
C
This last stages revert the expansion process turning a tree based source code to a DAG in order to reduce the size of the source code finally.
For instance, a code like:
IF_LEFT { A ; C } { B ; C }
becomes
IF_LEFT A B ; C
Note: types are not given in the Michelson sample (for the moment).
(fun x -> case (inl x) (fun x -> x) (fun _ -> 3))
is transpiled to
LAMBDA { DUP 0; LEFT; IF_LEFT { DUP 0; DROP 1 } { PUSH (INT 3); DROP 1 }; DROP 1 }
optimised to
LAMBDA { DUP 0; DROP 1 }
and finally simplified to
LAMBDA { }
(fun p -> (snd p) (fst p))
is transpiled to
LAMBDA { DUP 0; CDR; DUP 1; CAR; EXEC; DROP 1 }
and finally simplified to
LAMBDA { UNPAIR; EXEC }
rec(f).(fun x -> f x)
is transpiled to
LAMBDA_REC { DUP 1; DUP 1; EXEC; DROP 1; DROP 1 }
then simplified to
LAMBDA_REC { EXEC }
Note: This is a tail recursive function - which never terminates of course!
MIT License
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