140 lines
5 KiB
Python
140 lines
5 KiB
Python
from typing import *
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import textwrap
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import re
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import copy
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from agast import *
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global i
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i = 0
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class GenResult:
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def __init__(self, pd: str = "", ex: str = ""):
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self.parser_data = pd
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self.extra = ex
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def gen(program: List[Decl]) -> GenResult:
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res = GenResult()
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def gen(prefix: str = "", suffix: str = "") -> str:
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global i
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presan = re.sub("[^0-9a-zA-Z]+", "_", prefix)
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sufsan = re.sub("[^0-9a-zA-Z]+", "_", suffix)
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i += 1
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return f"{presan}{i}{sufsan}"
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def v(name: str) -> str:
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return f"__ag_{name}"
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# builtins
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builtins: Dict[str, str] = {
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"parseInt": "",
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}
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# collect a list of name -> iface declarations
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ifaces: Dict[str, Iface] = dict(
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map(lambda c: (c.name, cast(Iface, c)),
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filter(lambda c: isinstance(c, Iface),
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program)))
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# list of node -> iface mappings
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what_ifaces: Dict[str, Set[str]] = dict()
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what_fields: Dict[str, Dict[str, str]] = dict()
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for node in filter(lambda c: isinstance(c, Node), program):
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node = cast(Node, node)
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# all_fields = dict()
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what_ifaces[node.name] = set(node.ifaces)
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this_fields = dict()
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for iface in node.ifaces:
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fields = ifaces[iface].fields
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for field in fields:
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if field.name in this_fields:
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raise Exception("duplicate field name")
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this_fields[field.name] = field.ty
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what_fields[node.name] = this_fields
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print("what_ifaces:", what_ifaces)
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print("what_fields:", what_fields)
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# a high-level dictionary of productions; this has sub-productions
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# that should be further expanded at a later step before converting
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# into lark code
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productions_hi: Dict[str, Union[str, List[str]]] = dict()
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# TODO: this should probably not be inlined here, but i'll move it
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# out once i get more info into the 'env'
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def collect_required_thunks(env: List[Tuple[str, NodeRef]], expr: Expr) -> Dict[str, str]:
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names = dict(env)
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print(f"collect_required_thunks({expr})", expr.__class__)
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if isinstance(expr, ExprDot):
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return collect_required_thunks(env, expr.left)
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elif isinstance(expr, ExprMul):
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a = collect_required_thunks(env, expr.left)
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b = collect_required_thunks(env, expr.right)
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a.update(b)
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return a
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elif isinstance(expr, ExprAdd):
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a = collect_required_thunks(env, expr.left)
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b = collect_required_thunks(env, expr.right)
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a.update(b)
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return a
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elif isinstance(expr, ExprCall):
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return collect_required_thunks(env, expr.func)
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elif isinstance(expr, ExprName):
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if expr.name not in names and expr.name not in builtins:
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raise Exception(f"unbound name '{expr.name}'")
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return dict()
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raise Exception(f"unhandled {expr.__class__}")
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for node in filter(lambda c: isinstance(c, Node), program):
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node = cast(Node, node)
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n_class_name = gen(node.name)
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class_decl = textwrap.dedent(f"""
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class {v(n_class_name)}: pass
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""")
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res.extra += class_decl
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print(node.name, node.ifaces)
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for variant in node.variants:
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v_class_name = gen(f"{n_class_name}_var")
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class_decl = textwrap.dedent(f"""
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class {v(v_class_name)}({v(n_class_name)}):
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''' '''
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pass
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""")
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res.extra += class_decl
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prod_name = gen(node.name)
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print(prod_name)
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# create an environment for checking the equations based on
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# the production
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env: List[Tuple[str, NodeRef]] = list()
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for sym in variant.prod:
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if isinstance(sym, SymRename):
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env.append((sym.name, sym.ty))
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print(env)
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# for each of the equations, find out what the equation is
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# trying to compute, and generate a thunk corresponding to
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# that value.
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for eq in variant.equations:
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eq_name = gen(f"eq_{node.name}")
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thunk_name = gen(f"thunk_{node.name}")
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print("RHS", eq.rhs, eq.rhs.id)
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collect_required_thunks(copy.deepcopy(env), eq.rhs)
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func_impl = textwrap.dedent(f"""
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def {eq_name}() -> None:
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''' {repr(eq)} '''
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pass
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def {thunk_name}() -> Thunk[None]:
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return Thunk({eq_name})
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""")
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print(f"```py\n{func_impl}\n```")
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res.extra += func_impl
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# this is a "type alias" that connects it to one of the generated
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# names above
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res.extra += f"{node.name} = {v(n_class_name)}"
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return res |