1f1a3442cd
Previously, it was hardcoded at 'compile' time (in as much Python has that). This would make it more difficult to add stuff to it. Also, in a lot of places we made assumptions about prelude instead of checking properly.
291 lines
8.3 KiB
Python
291 lines
8.3 KiB
Python
"""
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Contains the final types for use in Phasm, as well as construtors.
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"""
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from typing import (
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Any,
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Hashable,
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Self,
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Tuple,
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TypeVar,
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)
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S = TypeVar('S')
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T = TypeVar('T')
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class KindArgument:
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pass
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class TypeApplication_Base[T: Hashable, S: Hashable]:
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"""
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Records the constructor and arguments used to create this type.
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Nullary types, or types of kind *, have both arguments set to None.
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"""
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constructor: T
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arguments: S
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def __init__(self, constructor: T, arguments: S) -> None:
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self.constructor = constructor
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self.arguments = arguments
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def __hash__(self) -> int:
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return hash((self.constructor, self.arguments, ))
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def __eq__(self, other: Any) -> bool:
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if not isinstance(other, TypeApplication_Base):
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raise NotImplementedError
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return (self.constructor == other.constructor # type: ignore[no-any-return]
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and self.arguments == other.arguments)
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def __repr__(self) -> str:
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return f'{self.__class__.__name__}({self.constructor!r}, {self.arguments!r})'
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class Type3(KindArgument):
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"""
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Base class for the type3 types
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(Having a separate name makes it easier to distinguish from
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Python's Type)
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"""
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__slots__ = ('name', 'application', )
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name: str
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"""
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The name of the string, as parsed and outputted by codestyle.
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"""
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application: TypeApplication_Base[Any, Any]
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"""
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How the type was constructed; i.e. which constructor was used and which
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type level arguments were applied to the constructor.
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"""
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def __init__(self, name: str, application: TypeApplication_Base[Any, Any]) -> None:
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self.name = name
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self.application = application
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def __repr__(self) -> str:
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return f'Type3({self.name!r}, {self.application!r})'
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def __str__(self) -> str:
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return self.name
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def __format__(self, format_spec: str) -> str:
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if format_spec != 's':
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raise TypeError(f'unsupported format string passed to Type3.__format__: {format_spec}')
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return str(self)
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def __eq__(self, other: Any) -> bool:
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if not isinstance(other, Type3):
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raise NotImplementedError(other)
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return self is other
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def __ne__(self, other: Any) -> bool:
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return not self.__eq__(other)
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def __hash__(self) -> int:
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return hash(self.name)
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def __bool__(self) -> bool:
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raise NotImplementedError
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class TypeApplication_Nullary(TypeApplication_Base[None, None]):
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"""
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There was no constructor used to create this type - it's a 'simple' type like u32
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"""
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class IntType3(KindArgument):
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"""
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Sometimes you can have an int on the type level, e.g. when using static arrays
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This is not the same as an int on the language level.
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[1.0, 1.2] :: f32[2] :: * -> Int -> *
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That is to say, you can create a static array of size two with each element
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a f32 using f32[2].
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"""
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__slots__ = ('value', )
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value: int
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def __init__(self, value: int) -> None:
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self.value = value
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def __repr__(self) -> str:
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return f'IntType3({self.value!r})'
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def __format__(self, format_spec: str) -> str:
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if format_spec != 's':
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raise TypeError(f'unsupported format string passed to Type3.__format__: {format_spec}')
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return str(self.value)
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def __eq__(self, other: Any) -> bool:
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if isinstance(other, IntType3):
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return self.value == other.value
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if isinstance(other, KindArgument):
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return False
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raise NotImplementedError
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def __hash__(self) -> int:
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return hash(self.value)
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class TypeConstructor_Base[T]:
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"""
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Base class for type construtors
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"""
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__slots__ = ('name', '_cache', )
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name: str
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"""
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The name of the type constructor
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"""
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_cache: dict[T, Type3]
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"""
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When constructing a type with the same arguments,
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it should produce the exact same result.
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"""
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def __init__(self, name: str) -> None:
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self.name = name
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self._cache = {}
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def make_name(self, key: T) -> str:
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"""
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Renders the type's name based on the given arguments
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"""
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raise NotImplementedError('make_name', self)
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def make_application(self, key: T) -> TypeApplication_Base[Self, T]:
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"""
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Records how the type was constructed into type.
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The type checker and compiler will need to know what
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arguments where made to construct the type.
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"""
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raise NotImplementedError('make_application', self)
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def construct(self, key: T) -> Type3:
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"""
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Constructs the type by applying the given arguments to this
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constructor.
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"""
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result = self._cache.get(key, None)
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if result is None:
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self._cache[key] = result = Type3(self.make_name(key), self.make_application(key))
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return result
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def __repr__(self) -> str:
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return f'{self.__class__.__name__}({self.name!r}, ...)'
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class TypeConstructor_Type(TypeConstructor_Base[Tuple[Type3]]):
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"""
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Base class type constructors of kind: * -> *
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Notably, static array.
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"""
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__slots__ = ()
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def make_application(self, key: Tuple[Type3]) -> 'TypeApplication_Type':
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return TypeApplication_Type(self, key)
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def make_name(self, key: Tuple[Type3]) -> str:
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return f'{self.name} {key[0].name} '
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def __call__(self, arg0: Type3) -> Type3:
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return self.construct((arg0, ))
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class TypeApplication_Type(TypeApplication_Base[TypeConstructor_Type, Tuple[Type3]]):
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pass
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class TypeConstructor_TypeInt(TypeConstructor_Base[Tuple[Type3, IntType3]]):
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"""
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Base class type constructors of kind: * -> Int -> *
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Notably, static array.
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"""
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__slots__ = ()
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def make_application(self, key: Tuple[Type3, IntType3]) -> 'TypeApplication_TypeInt':
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return TypeApplication_TypeInt(self, key)
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def make_name(self, key: Tuple[Type3, IntType3]) -> str:
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return f'{self.name} {key[0].name} {key[1].value}'
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def __call__(self, arg0: Type3, arg1: IntType3) -> Type3:
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return self.construct((arg0, arg1))
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class TypeApplication_TypeInt(TypeApplication_Base[TypeConstructor_TypeInt, Tuple[Type3, IntType3]]):
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pass
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class TypeConstructor_TypeStar(TypeConstructor_Base[Tuple[Type3, ...]]):
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"""
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Base class type constructors of variadic kind
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Notably, tuple.
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"""
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def make_application(self, key: Tuple[Type3, ...]) -> 'TypeApplication_TypeStar':
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return TypeApplication_TypeStar(self, key)
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def __call__(self, *args: Type3) -> Type3:
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key: Tuple[Type3, ...] = tuple(args)
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return self.construct(key)
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class TypeApplication_TypeStar(TypeApplication_Base[TypeConstructor_TypeStar, Tuple[Type3, ...]]):
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pass
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class TypeConstructor_DynamicArray(TypeConstructor_Type):
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def make_name(self, key: Tuple[Type3]) -> str:
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if 'u8' == key[0].name:
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return 'bytes'
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return f'{key[0].name}[...]'
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class TypeConstructor_StaticArray(TypeConstructor_TypeInt):
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def make_name(self, key: Tuple[Type3, IntType3]) -> str:
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return f'{key[0].name}[{key[1].value}]'
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class TypeConstructor_Tuple(TypeConstructor_TypeStar):
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def make_name(self, key: Tuple[Type3, ...]) -> str:
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return '(' + ', '.join(x.name for x in key) + ', )'
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class TypeConstructor_Function(TypeConstructor_TypeStar):
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def make_name(self, key: Tuple[Type3, ...]) -> str:
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return 'Callable[' + ', '.join(x.name for x in key) + ']'
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class TypeConstructor_Struct(TypeConstructor_Base[tuple[tuple[str, Type3], ...]]):
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"""
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Constructs struct types
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"""
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def make_application(self, key: tuple[tuple[str, Type3], ...]) -> 'TypeApplication_Struct':
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return TypeApplication_Struct(self, key)
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def make_name(self, key: tuple[tuple[str, Type3], ...]) -> str:
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return f'{self.name}(' + ', '.join(
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f'{n}: {t.name}'
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for n, t in key
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) + ')'
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def construct(self, key: T) -> Type3:
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"""
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Constructs the type by applying the given arguments to this
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constructor.
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"""
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raise Exception('This does not work with the caching system')
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def __call__(self, name: str, args: tuple[tuple[str, Type3], ...]) -> Type3:
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result = Type3(name, self.make_application(args))
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return result
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class TypeApplication_Struct(TypeApplication_Base[TypeConstructor_Struct, tuple[tuple[str, Type3], ...]]):
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pass
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