source/projects/shoggoth/src/python/ichor/state.py

#!/usr/bin/env python3

"""The core VM/interpreter model."""


import typing as t

from ichor.isa import Opcode
from lark import Lark, Transformer, v_args, Token


class Identifier(t.NamedTuple):
    name: str


GRAMMAR = r"""
fun: constraints ";" name ";" arguments ";" ret

arguments: (type ","?)*
ret: (type ","?)*
constraints: (constraint ","?)*
constraint: type

var: constraints ";" name ";" arms
arms: (arm ","?)+
arm: name "(" bindings ")"

bindings: (binding ","?)*
binding: name ":" type

type: NAME
name: NAME
NAME: /[^;,:⊢(){}|]+/
"""


class FuncT(Transformer):
    @v_args(inline=True)
    def fun(self, constraints, name, arguments, ret):
        return (constraints, name, arguments, ret)

    def constraints(self, args):
        return (*args,)

    def arguments(self, args):
        return tuple(args)

    def ret(self, args):
        return tuple(args)

    @v_args(inline=True)
    def NAME(self, name: Token):
        return name.value

    @v_args(inline=True)
    def name(self, name):
        return name

    @v_args(inline=True)
    def type(self, name):
        return name


FUNC = Lark(GRAMMAR, start="fun", parser='lalr', transformer=FuncT())


class FunctionRef(t.NamedTuple):
    name: str

    @classmethod
    def parse(cls, raw: str):
        return cls(raw)


class Function(t.NamedTuple):
    name: str
    arguments: t.List[str]
    returns: t.List[str]
    instructions: t.List[Opcode]
    typevars: t.List[t.Any] = []
    typeconstraints: t.List[t.Any] = []
    metadata: dict = {}

    @classmethod
    def build(cls, name: str, instructions: t.List[Opcode]):
        constraints, name, args, rets = FUNC.parse(name)
        # FIXME: Constraints probably needs some massaging
        # FIXME: Need to get typevars from somewhere
        # They both probably live in the same list
        return cls(name, args, rets, instructions, typeconstraints=constraints)

    @property
    def signature(self):
        # FIXME: This should be more meaningful - likely including a type and code fingerprint
        return f"{self.name};{len(self.arguments)};{len(self.returns)}"


class VarT(FuncT):
    @v_args(inline=True)
    def var(self, constraints, name, arms):
        return (constraints, name, arms)

    @v_args(inline=True)
    def constraint(self, name):
        return name

    def arms(self, arms):
        return tuple(arms)

    def binding(self, binding):
        return tuple(binding)

    def bindings(self, bindings):
        return tuple(bindings)

    @v_args(inline=True)
    def arm(self, name, bindings):
        return (name, bindings)



VAR = Lark(GRAMMAR, start="var", parser='lalr', transformer=VarT())


class Type(t.NamedTuple):
    name: str
    constructors: t.List[t.Tuple[str, t.List[str]]]
    typevars: t.List[t.Any] = []
    typeconstraints: t.List[t.Any] = []
    metadata: dict = {}

    @classmethod
    def build(cls, name: str):
        constraints, name, arms = VAR.parse(name)
        # FIXME: Constraints probably needs some massaging
        # FIXME: Need to get typevars from somewhere
        # They both probably live in the same list
        return cls(name, arms, typeconstraints=constraints)

    @property
    def signature(self):
        return self.name


class Closure(t.NamedTuple):
    # Note that a closure over a closure is equivalent to a single closure which extends the captured stack fragment, so
    # there's no need for a union here as we can simply convert nested closures.
    funref: FunctionRef
    frag: t.List[t.Any]


class Struct(t.NamedTuple):
    name: str
    type_params: list
    children: t.Mapping[str, t.Any]


class Module(t.NamedTuple):
    functions: t.Dict[str, Function] = {}
    labels: t.Dict[str, int] = {}
    codepage: list = []
    types: t.Dict[str, Type] = {}
    constants: dict = {}

    def copy(self) -> "Module":
        return Module(
            self.functions.copy(),
            self.labels.copy(),
            self.codepage.copy(),
            self.types.copy(),
            self.constants.copy(),
        )

    @staticmethod
    def translate(start: int, end: int, i: Opcode):
        # FIXME: Consolidate bounds checks somehow
        match i:
            case Opcode.IF(t):
                d = t + start
                assert start <= d < end
                return Opcode.IF(d)

            case Opcode.GOTO(t):
                d = t + start
                assert start <= d < end
                return Opcode.GOTO(d)

            case _:
                return i

    def define_function(self, name, opcodes):
        """Enter a function into module.

        Side-effects the codepage and name table.

        """
        func = Function.build(name, opcodes)
        self.functions[func.signature] = func
        self.labels[func.signature] = start = len(self.codepage)
        for op in opcodes:
            self.codepage.append(self.translate(start, start + len(opcodes), op))
        return func.signature

    def define_type(self, name):
        type = Type.build(name)
        self.types[type.signature] = type
        return type.signature

    def __str__(self):
        b = []
        b.append("functions:")
        for sig, fun in self.functions.items():
            b.append(f"  {sig!r}:")
            b.append(f"    name: {fun.name}")
            b.append(f"    typeconstraints: {fun.typeconstraints}")
            b.append(f"    arguments: {fun.arguments}")
            b.append(f"    returns: {fun.returns}")
            b.append(f"    ip: {self.labels[fun.signature]}")

        b.append("codepage:")
        marks = {v: k for k, v in self.labels.items()}
        for i, o in zip(range(1<<64), self.codepage):
            if(i in marks):
                b.append(f"  {marks[i]!r}:")
            b.append(f"  {i: >10}: {o}")
        return "\n".join(b)