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Use TObj to represent NDArrays and remove TNDArray #383

Merged
sb10q merged 1 commits from enhance/issue-149-ndarray into master 2024-08-17 17:37:20 +08:00
Conversation 0 Commits 1 Files Changed 20 +302 -275
20 changed files with 302 additions and 275 deletions
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11
nac3artiq/src/codegen.rs
View File

@ -397,9 +397,6 @@ fn gen_rpc_tag(
buffer.push(b'l');
gen_rpc_tag(ctx, *ty, buffer)?;
}
TNDArray { .. } => {
todo!()
}
_ => return Err(format!("Unsupported type: {:?}", ctx.unifier.stringify(ty))),
}
}
@ -660,14 +657,6 @@ pub fn attributes_writeback(
values.push((ty, inner_resolver.get_obj_value(py, val, ctx, generator, ty)?.unwrap()));
}
},
TypeEnum::TNDArray { ty: elem_ty, .. } => {
if gen_rpc_tag(ctx, *elem_ty, &mut scratch_buffer).is_ok() {
let pydict = PyDict::new(py);
pydict.set_item("obj", val)?;
host_attributes.append(pydict)?;
values.push((ty, inner_resolver.get_obj_value(py, val, ctx, generator, ty)?.unwrap()));
}
},
_ => {}
}
}

29
nac3artiq/src/symbol_resolver.rs
View File

@ -2,7 +2,12 @@ use inkwell::{types::BasicType, values::BasicValueEnum, AddressSpace};
use nac3core::{
codegen::{CodeGenContext, CodeGenerator},
symbol_resolver::{StaticValue, SymbolResolver, SymbolValue, ValueEnum},
toplevel::{DefinitionId, TopLevelDef},
toplevel::{
DefinitionId,
helper::PRIMITIVE_DEF_IDS,
numpy::{make_ndarray_ty, unpack_ndarray_tvars},
TopLevelDef,
},
typecheck::{
type_inferencer::PrimitiveStore,
typedef::{Type, TypeEnum, Unifier},
@ -306,7 +311,7 @@ impl InnerResolver {
// do not handle type var param and concrete check here
let var = unifier.get_dummy_var().0;
let ndims = unifier.get_fresh_const_generic_var(primitives.usize(), None, None).0;
let ndarray = unifier.add_ty(TypeEnum::TNDArray { ty: var, ndims });
let ndarray = make_ndarray_ty(unifier, primitives, Some(var), Some(ndims));
Ok(Ok((ndarray, false)))
} else if ty_id == self.primitive_ids.tuple {
// do not handle type var param and concrete check here
@ -452,7 +457,7 @@ impl InnerResolver {
)));
}
}
TypeEnum::TNDArray { .. } => {
TypeEnum::TObj { obj_id, .. } if *obj_id == PRIMITIVE_DEF_IDS.ndarray => {
if args.len() != 2 {
return Ok(Err(format!(
"type list needs exactly 2 type parameters, found {}",
@ -648,11 +653,12 @@ impl InnerResolver {
}
}
}
(TypeEnum::TNDArray { ty, ndims }, false) => {
(TypeEnum::TObj { obj_id, .. }, false) if *obj_id == PRIMITIVE_DEF_IDS.ndarray => {
let (ty, ndims) = unpack_ndarray_tvars(unifier, extracted_ty);
let len: usize = self.helper.len_fn.call1(py, (obj,))?.extract(py)?;
if len == 0 {
assert!(matches!(
&*unifier.get_ty(*ty),
&*unifier.get_ty(ty),
TypeEnum::TVar { fields: None, range, .. }
if range.is_empty()
));
@ -661,8 +667,17 @@ impl InnerResolver {
let actual_ty =
self.get_list_elem_type(py, obj, len, unifier, defs, primitives)?;
match actual_ty {
Ok(t) => match unifier.unify(*ty, t) {
Ok(()) => Ok(Ok(unifier.add_ty(TypeEnum::TNDArray { ty: *ty, ndims: *ndims }))),
Ok(t) => match unifier.unify(ty, t) {
Ok(()) => {
let ndarray_ty = make_ndarray_ty(
unifier,
primitives,
Some(ty),
Some(ndims),
);
Ok(Ok(ndarray_ty))
}
Err(e) => Ok(Err(format!(
"type error ({}) for the ndarray",
e.to_display(unifier),

14
nac3core/src/codegen/concrete_type.rs
View File

@ -47,10 +47,6 @@ pub enum ConcreteTypeEnum {
TList {
ty: ConcreteType,
},
TNDArray {
ty: ConcreteType,
ndims: ConcreteType,
},
TObj {
obj_id: DefinitionId,
fields: HashMap<StrRef, (ConcreteType, bool)>,
@ -171,10 +167,6 @@ impl ConcreteTypeStore {
TypeEnum::TList { ty } => ConcreteTypeEnum::TList {
ty: self.from_unifier_type(unifier, primitives, *ty, cache),
},
TypeEnum::TNDArray { ty, ndims } => ConcreteTypeEnum::TNDArray {
ty: self.from_unifier_type(unifier, primitives, *ty, cache),
ndims: self.from_unifier_type(unifier, primitives, *ndims, cache),
},
TypeEnum::TObj { obj_id, fields, params } => ConcreteTypeEnum::TObj {
obj_id: *obj_id,
fields: fields
@ -268,12 +260,6 @@ impl ConcreteTypeStore {
ConcreteTypeEnum::TList { ty } => {
TypeEnum::TList { ty: self.to_unifier_type(unifier, primitives, *ty, cache) }
}
ConcreteTypeEnum::TNDArray { ty, ndims } => {
TypeEnum::TNDArray {
ty: self.to_unifier_type(unifier, primitives, *ty, cache),
ndims: self.to_unifier_type(unifier, primitives, *ndims, cache),
}
}
ConcreteTypeEnum::TVirtual { ty } => {
TypeEnum::TVirtual { ty: self.to_unifier_type(unifier, primitives, *ty, cache) }
}

38
nac3core/src/codegen/expr.rs
View File

@ -13,7 +13,12 @@ use crate::{
CodeGenContext, CodeGenTask,
},
symbol_resolver::{SymbolValue, ValueEnum},
toplevel::{DefinitionId, TopLevelDef},
toplevel::{
DefinitionId,
helper::PRIMITIVE_DEF_IDS,
numpy::make_ndarray_ty,
TopLevelDef,
},
typecheck::{
typedef::{FunSignature, FuncArg, Type, TypeEnum, Unifier},
magic_methods::{binop_name, binop_assign_name},
@ -181,7 +186,6 @@ impl<'ctx, 'a> CodeGenContext<'ctx, 'a> {
&mut self.unifier,
self.top_level,
&mut self.type_cache,
&self.primitives,
ty,
)
}
@ -1204,23 +1208,25 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
SymbolValue::U64(v) => Ok(v),
SymbolValue::U32(v) => Ok(v as u64),
SymbolValue::I32(v) => u64::try_from(v)
.map_err(|_| format!("Expected non-negative literal for TNDArray.ndims, got {v}")),
.map_err(|_| format!("Expected non-negative literal for ndarray.ndims, got {v}")),
SymbolValue::I64(v) => u64::try_from(v)
.map_err(|_| format!("Expected non-negative literal for TNDArray.ndims, got {v}")),
.map_err(|_| format!("Expected non-negative literal for ndarray.ndims, got {v}")),
_ => unreachable!(),
})
.collect::<Result<Vec<_>, _>>()?;
assert!(!ndims.is_empty());
let ndarray_ty_enum = TypeEnum::TNDArray {
ty,
ndims: ctx.unifier.get_fresh_literal(
ndims.iter().map(|v| SymbolValue::U64(v - 1)).collect(),
None,
),
};
let ndarray_ty = ctx.unifier.add_ty(ndarray_ty_enum);
let ndarray_ndims_ty = ctx.unifier.get_fresh_literal(
ndims.iter().map(|v| SymbolValue::U64(v - 1)).collect(),
None,
);
let ndarray_ty = make_ndarray_ty(
&mut ctx.unifier,
&ctx.primitives,
Some(ty),
Some(ndarray_ndims_ty),
);
let llvm_pndarray_t = ctx.get_llvm_type(generator, ndarray_ty).into_pointer_type();
let llvm_ndarray_t = llvm_pndarray_t.get_element_type().into_struct_type();
let llvm_ndarray_data_t = ctx.get_llvm_type(generator, ty).as_basic_type_enum();
@ -1963,7 +1969,13 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
v.get_data().get(ctx, generator, index, None).into()
}
}
TypeEnum::TNDArray { ty, ndims } => {
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PRIMITIVE_DEF_IDS.ndarray => {
let (ty, ndims) = params.iter()
.sorted_by_key(|(var_id, _)| *var_id)
.map(|(_, ty)| ty)
.collect_tuple()
.unwrap();
let v = if let Some(v) = generator.gen_expr(ctx, value)? {
v.to_basic_value_enum(ctx, generator, value.custom.unwrap())?.into_pointer_value()
} else {

80
nac3core/src/codegen/mod.rs
View File

@ -1,6 +1,11 @@
use crate::{
symbol_resolver::{StaticValue, SymbolResolver},
toplevel::{TopLevelContext, TopLevelDef},
toplevel::{
helper::PRIMITIVE_DEF_IDS,
numpy::unpack_ndarray_tvars,
TopLevelContext,
TopLevelDef,
},
typecheck::{
type_inferencer::{CodeLocation, PrimitiveStore},
typedef::{CallId, FuncArg, Type, TypeEnum, Unifier},
@ -417,7 +422,6 @@ fn get_llvm_type<'ctx>(
unifier: &mut Unifier,
top_level: &TopLevelContext,
type_cache: &mut HashMap<Type, BasicTypeEnum<'ctx>>,
primitives: &PrimitiveStore,
ty: Type,
) -> BasicTypeEnum<'ctx> {
use TypeEnum::*;
@ -427,28 +431,50 @@ fn get_llvm_type<'ctx>(
let ty_enum = unifier.get_ty(ty);
let result = match &*ty_enum {
TObj { obj_id, fields, .. } => {
// check to avoid treating primitives other than Option as classes
if obj_id.0 <= 10 {
match (unifier.get_ty(ty).as_ref(), unifier.get_ty(primitives.option).as_ref())
{
(
TObj { obj_id, params, .. },
TObj { obj_id: opt_id, .. },
) if *obj_id == *opt_id => {
return get_llvm_type(
// check to avoid treating non-class primitives as classes
if obj_id.0 <= PRIMITIVE_DEF_IDS.max_id().0 {
return match &*unifier.get_ty_immutable(ty) {
TObj { obj_id, params, .. } if *obj_id == PRIMITIVE_DEF_IDS.option => {
get_llvm_type(
ctx,
module,
generator,
unifier,
top_level,
type_cache,
primitives,
*params.iter().next().unwrap().1,
)
.ptr_type(AddressSpace::default())
.into();
.into()
}
_ => unreachable!("must be option type"),
TObj { obj_id, .. } if *obj_id == PRIMITIVE_DEF_IDS.ndarray => {
let llvm_usize = generator.get_size_type(ctx);
let (dtype, _) = unpack_ndarray_tvars(unifier, ty);
let element_type = get_llvm_type(
ctx,
module,
generator,
unifier,
top_level,
type_cache,
dtype,
);
// struct NDArray { num_dims: size_t, dims: size_t*, data: T* }
//
// * num_dims: Number of dimensions in the array
// * dims: Pointer to an array containing the size of each dimension
// * data: Pointer to an array containing the array data
let fields = [
llvm_usize.into(),
llvm_usize.ptr_type(AddressSpace::default()).into(),
element_type.ptr_type(AddressSpace::default()).into(),
];
ctx.struct_type(&fields, false).ptr_type(AddressSpace::default()).into()
}
_ => unreachable!("LLVM type for primitive {} is missing", unifier.stringify(ty)),
}
}
// a struct with fields in the order of declaration
@ -477,7 +503,6 @@ fn get_llvm_type<'ctx>(
unifier,
top_level,
type_cache,
primitives,
fields[&f.0].0,
)
})
@ -493,7 +518,7 @@ fn get_llvm_type<'ctx>(
.iter()
.map(|ty| {
get_llvm_type(
ctx, module, generator, unifier, top_level, type_cache, primitives, *ty,
ctx, module, generator, unifier, top_level, type_cache, *ty,
)
})
.collect_vec();
@ -502,7 +527,7 @@ fn get_llvm_type<'ctx>(
TList { ty } => {
// a struct with an integer and a pointer to an array
let element_type = get_llvm_type(
ctx, module, generator, unifier, top_level, type_cache, primitives, *ty,
ctx, module, generator, unifier, top_level, type_cache, *ty,
);
let fields = [
element_type.ptr_type(AddressSpace::default()).into(),
@ -510,24 +535,6 @@ fn get_llvm_type<'ctx>(
];
ctx.struct_type(&fields, false).ptr_type(AddressSpace::default()).into()
}
TNDArray { ty, .. } => {
let llvm_usize = generator.get_size_type(ctx);
let element_type = get_llvm_type(
ctx, module, generator, unifier, top_level, type_cache, primitives, *ty,
);
// struct NDArray { num_dims: size_t, dims: size_t*, data: T* }
//
// * num_dims: Number of dimensions in the array
// * dims: Pointer to an array containing the size of each dimension
// * data: Pointer to an array containing the array data
let fields = [
llvm_usize.into(),
llvm_usize.ptr_type(AddressSpace::default()).into(),
element_type.ptr_type(AddressSpace::default()).into(),
];
ctx.struct_type(&fields, false).ptr_type(AddressSpace::default()).into()
}
TVirtual { .. } => unimplemented!(),
_ => unreachable!("{}", ty_enum.get_type_name()),
};
@ -561,7 +568,7 @@ fn get_llvm_abi_type<'ctx>(
return if unifier.unioned(ty, primitives.bool) {
ctx.bool_type().into()
} else {
get_llvm_type(ctx, module, generator, unifier, top_level, type_cache, primitives, ty)
get_llvm_type(ctx, module, generator, unifier, top_level, type_cache, ty)
}
}
@ -763,7 +770,6 @@ pub fn gen_func_impl<'ctx, G: CodeGenerator, F: FnOnce(&mut G, &mut CodeGenConte
&mut unifier,
top_level_ctx.as_ref(),
&mut type_cache,
&primitives,
arg.ty,
);
let alloca = builder

19
nac3core/src/codegen/stmt.rs
View File

@ -10,7 +10,12 @@ use crate::{
expr::gen_binop_expr,
gen_in_range_check,
},
toplevel::{DefinitionId, TopLevelDef},
toplevel::{
DefinitionId,
helper::PRIMITIVE_DEF_IDS,
numpy::unpack_ndarray_tvars,
TopLevelDef,
},
typecheck::typedef::{FunSignature, Type, TypeEnum},
};
use inkwell::{
@ -186,7 +191,7 @@ pub fn gen_store_target<'ctx, G: CodeGenerator>(
v.get_data().ptr_offset(ctx, generator, index, name)
}
TypeEnum::TNDArray { .. } => {
TypeEnum::TObj { obj_id, .. } if *obj_id == PRIMITIVE_DEF_IDS.ndarray => {
todo!()
}
@ -242,11 +247,15 @@ pub fn gen_assign<'ctx, G: CodeGenerator>(
.to_basic_value_enum(ctx, generator, target.custom.unwrap())?
.into_pointer_value();
let value = ListValue::from_ptr_val(value, llvm_usize, None);
let (TypeEnum::TList { ty } | TypeEnum::TNDArray { ty, .. }) = &*ctx.unifier.get_ty(target.custom.unwrap()) else {
unreachable!()
let ty = match &*ctx.unifier.get_ty_immutable(target.custom.unwrap()) {
TypeEnum::TList { ty } => *ty,
TypeEnum::TObj { obj_id, .. } if *obj_id == PRIMITIVE_DEF_IDS.ndarray => {
unpack_ndarray_tvars(&mut ctx.unifier, target.custom.unwrap()).0
}
_ => unreachable!(),
};
let ty = ctx.get_llvm_type(generator, *ty);
let ty = ctx.get_llvm_type(generator, ty);
let Some(src_ind) = handle_slice_indices(&None, &None, &None, ctx, generator, value)? else {
return Ok(())
};

39
nac3core/src/symbol_resolver.rs
View File

@ -3,16 +3,12 @@ use std::sync::Arc;
use std::{collections::HashMap, collections::HashSet, fmt::Display};
use std::rc::Rc;
use crate::typecheck::typedef::TypeEnum;
use crate::{
codegen::CodeGenContext,
codegen::{CodeGenContext, CodeGenerator},
toplevel::{DefinitionId, TopLevelDef, type_annotation::TypeAnnotation},
};
use crate::{
codegen::CodeGenerator,
typecheck::{
type_inferencer::PrimitiveStore,
typedef::{Type, Unifier},
typedef::{Type, TypeEnum, Unifier},
},
};
use inkwell::values::{BasicValueEnum, FloatValue, IntValue, PointerValue, StructValue};
@ -353,14 +349,13 @@ pub trait SymbolResolver {
}
thread_local! {
static IDENTIFIER_ID: [StrRef; 13] = [
static IDENTIFIER_ID: [StrRef; 12] = [
"int32".into(),
"int64".into(),
"float".into(),
"bool".into(),
"virtual".into(),
"list".into(),
"ndarray".into(),
"tuple".into(),
"str".into(),
"Exception".into(),
@ -386,13 +381,12 @@ pub fn parse_type_annotation<T>(
let bool_id = ids[3];
let virtual_id = ids[4];
let list_id = ids[5];
let ndarray_id = ids[6];
let tuple_id = ids[7];
let str_id = ids[8];
let exn_id = ids[9];
let uint32_id = ids[10];
let uint64_id = ids[11];
let literal_id = ids[12];
let tuple_id = ids[6];
let str_id = ids[7];
let exn_id = ids[8];
let uint32_id = ids[9];
let uint64_id = ids[10];
let literal_id = ids[11];
let name_handling = |id: &StrRef, loc: Location, unifier: &mut Unifier| {
if *id == int32_id {
@ -463,21 +457,6 @@ pub fn parse_type_annotation<T>(
} else if *id == list_id {
let ty = parse_type_annotation(resolver, top_level_defs, unifier, primitives, slice)?;
Ok(unifier.add_ty(TypeEnum::TList { ty }))
} else if *id == ndarray_id {
let Tuple { elts, .. } = &slice.node else {
return Err(HashSet::from([
String::from("Expected 2 type arguments for ndarray"),
]))
};
if elts.len() < 2 {
return Err(HashSet::from([
String::from("Expected 2 type arguments for ndarray"),
]))
}
let ty = parse_type_annotation(resolver, top_level_defs, unifier, primitives, &elts[0])?;
let ndims = parse_type_annotation(resolver, top_level_defs, unifier, primitives, &elts[1])?;
Ok(unifier.add_ty(TypeEnum::TNDArray { ty, ndims }))
} else if *id == tuple_id {
if let Tuple { elts, .. } = &slice.node {
let ty = elts

24
nac3core/src/toplevel/builtins.rs
View File

@ -274,14 +274,8 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
let boolean = primitives.0.bool;
let range = primitives.0.range;
let string = primitives.0.str;
let ndarray = {
let ndarray_ty = TypeEnum::ndarray(&mut primitives.1, None, None, &primitives.0);
primitives.1.add_ty(ndarray_ty)
};
let ndarray_float = {
let ndarray_ty_enum = TypeEnum::ndarray(&mut primitives.1, Some(float), None, &primitives.0);
primitives.1.add_ty(ndarray_ty_enum)
};
let ndarray = primitives.0.ndarray;
let ndarray_float = make_ndarray_ty(&mut primitives.1, &primitives.0, Some(float), None);
let ndarray_float_2d = {
let value = match primitives.0.size_t {
64 => SymbolValue::U64(2u64),
@ -293,10 +287,7 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
loc: None,
});
primitives.1.add_ty(TypeEnum::TNDArray {
ty: float,
ndims,
})
make_ndarray_ty(&mut primitives.1, &primitives.0, Some(float), Some(ndims))
};
let list_int32 = primitives.1.add_ty(TypeEnum::TList { ty: int32 });
let num_ty = primitives.1.get_fresh_var_with_range(
@ -1352,7 +1343,12 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
let tvar = primitives.1.get_fresh_var(Some("L".into()), None);
let list = primitives.1.add_ty(TypeEnum::TList { ty: tvar.0 });
let ndims = primitives.1.get_fresh_const_generic_var(primitives.0.uint64, Some("N".into()), None);
let ndarray = primitives.1.add_ty(TypeEnum::TNDArray { ty: tvar.0, ndims: ndims.0 });
let ndarray = make_ndarray_ty(
&mut primitives.1,
&primitives.0,
Some(tvar.0),
Some(ndims.0),
);
let arg_ty = primitives.1.get_fresh_var_with_range(
&[list, ndarray, primitives.0.range],
@ -1404,7 +1400,7 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
)
}
}
TypeEnum::TNDArray { .. } => {
TypeEnum::TObj { obj_id, .. } if *obj_id == PRIMITIVE_DEF_IDS.ndarray => {
let llvm_i32 = ctx.ctx.i32_type();
let i32_zero = llvm_i32.const_zero();

19
nac3core/src/toplevel/helper.rs
View File

@ -1,6 +1,7 @@
use std::convert::TryInto;
use crate::symbol_resolver::SymbolValue;
use crate::typecheck::typedef::Mapping;
use nac3parser::ast::{Constant, Location};
use super::*;
@ -194,6 +195,23 @@ impl TopLevelComposer {
params: HashMap::from([(option_type_var.1, option_type_var.0)]),
});
let size_t_ty = match size_t {
32 => uint32,
64 => uint64,
_ => unreachable!(),
};
let ndarray_dtype_tvar = unifier.get_fresh_var(Some("ndarray_dtype".into()), None);
let ndarray_ndims_tvar = unifier.get_fresh_const_generic_var(size_t_ty, Some("ndarray_ndims".into()), None);
let ndarray = unifier.add_ty(TypeEnum::TObj {
obj_id: PRIMITIVE_DEF_IDS.ndarray,
fields: Mapping::new(),
params: Mapping::from([
(ndarray_dtype_tvar.1, ndarray_dtype_tvar.0),
(ndarray_ndims_tvar.1, ndarray_ndims_tvar.0),
])
});
let primitives = PrimitiveStore {
int32,
int64,
@ -206,6 +224,7 @@ impl TopLevelComposer {
str,
exception,
option,
ndarray,
size_t,
};
unifier.put_primitive_store(&primitives);

74
nac3core/src/toplevel/numpy.rs
View File

@ -1,5 +1,6 @@
use inkwell::{IntPredicate, types::BasicType, values::{BasicValueEnum, PointerValue}};
use inkwell::values::{AggregateValueEnum, ArrayValue, IntValue};
use itertools::Itertools;
use nac3parser::ast::StrRef;
use crate::{
codegen::{
@ -15,10 +16,68 @@ use crate::{
stmt::gen_for_callback
},
symbol_resolver::ValueEnum,
toplevel::DefinitionId,
typecheck::typedef::{FunSignature, Type, TypeEnum},
toplevel::{DefinitionId, helper::PRIMITIVE_DEF_IDS},
typecheck::{
type_inferencer::PrimitiveStore,
typedef::{FunSignature, Mapping, Type, TypeEnum, Unifier},
},
};
/// Creates a `ndarray` [`Type`] with the given type arguments.
///
/// * `dtype` - The element type of the `ndarray`, or [`None`] if the type variable is not
/// specialized.
/// * `ndims` - The number of dimensions of the `ndarray`, or [`None`] if the type variable is not
/// specialized.
pub fn make_ndarray_ty(
unifier: &mut Unifier,
primitives: &PrimitiveStore,
dtype: Option<Type>,
ndims: Option<Type>,
) -> Type {
let ndarray = primitives.ndarray;
let TypeEnum::TObj { obj_id, params, .. } = &*unifier.get_ty_immutable(ndarray) else {
panic!("Expected `ndarray` to be TObj, but got {}", unifier.stringify(ndarray))
};
debug_assert_eq!(*obj_id, PRIMITIVE_DEF_IDS.ndarray);
let tvar_ids = params.iter()
.map(|(obj_id, _)| *obj_id)
.sorted()
.collect_vec();
debug_assert_eq!(tvar_ids.len(), 2);
let mut tvar_subst = Mapping::new();
if let Some(dtype) = dtype {
tvar_subst.insert(tvar_ids[0], dtype);
}
if let Some(ndims) = ndims {
tvar_subst.insert(tvar_ids[1], ndims);
}
unifier.subst(ndarray, &tvar_subst).unwrap_or(ndarray)
}
/// Unpacks the type variables of `ndarray` into a tuple. The elements of the tuple corresponds to
/// `dtype` (the element type) and `ndims` (the number of dimensions) of the `ndarray` respectively.
pub fn unpack_ndarray_tvars(
unifier: &mut Unifier,
ndarray: Type,
) -> (Type, Type) {
let TypeEnum::TObj { obj_id, params, .. } = &*unifier.get_ty_immutable(ndarray) else {
panic!("Expected `ndarray` to be TObj, but got {}", unifier.stringify(ndarray))
};
debug_assert_eq!(*obj_id, PRIMITIVE_DEF_IDS.ndarray);
debug_assert_eq!(params.len(), 2);
params.iter()
.sorted_by_key(|(obj_id, _)| *obj_id)
.map(|(_, ty)| *ty)
.collect_tuple()
.unwrap()
}
/// Creates an `NDArray` instance from a constant shape.
///
/// * `elem_ty` - The element type of the `NDArray`.
@ -29,8 +88,7 @@ fn create_ndarray_const_shape<'ctx>(
elem_ty: Type,
shape: ArrayValue<'ctx>
) -> Result<NDArrayValue<'ctx>, String> {
let ndarray_ty_enum = TypeEnum::ndarray(&mut ctx.unifier, Some(elem_ty), None, &ctx.primitives);
let ndarray_ty = ctx.unifier.add_ty(ndarray_ty_enum);
let ndarray_ty = make_ndarray_ty(&mut ctx.unifier, &ctx.primitives, Some(elem_ty), None);
let llvm_usize = generator.get_size_type(ctx.ctx);
@ -147,8 +205,12 @@ fn call_ndarray_empty_impl<'ctx>(
elem_ty: Type,
shape: ListValue<'ctx>,
) -> Result<NDArrayValue<'ctx>, String> {
let ndarray_ty_enum = TypeEnum::ndarray(&mut ctx.unifier, Some(elem_ty), None, &ctx.primitives);
let ndarray_ty = ctx.unifier.add_ty(ndarray_ty_enum);
let ndarray_ty = make_ndarray_ty(
&mut ctx.unifier,
&ctx.primitives,
Some(elem_ty),
None,
);
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);

2
nac3core/src/toplevel/snapshots/nac3core__toplevel__test__test_analyze__generic_class.snap
View File

@ -5,7 +5,7 @@ expression: res_vec
[
"Class {\nname: \"Generic_A\",\nancestors: [\"Generic_A[V]\", \"B\"],\nfields: [\"aa\", \"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"foo\", \"fn[[b:T], none]\"), (\"fun\", \"fn[[a:int32], V]\")],\ntype_vars: [\"V\"]\n}\n",
"Function {\nname: \"Generic_A.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"Generic_A.fun\",\nsig: \"fn[[a:int32], V]\",\nvar_id: [29]\n}\n",
"Function {\nname: \"Generic_A.fun\",\nsig: \"fn[[a:int32], V]\",\nvar_id: [28]\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\"],\nfields: [\"aa\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"foo\", \"fn[[b:T], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"B.foo\",\nsig: \"fn[[b:T], none]\",\nvar_id: []\n}\n",

2
nac3core/src/toplevel/snapshots/nac3core__toplevel__test__test_analyze__inheritance_override.snap
View File

@ -7,7 +7,7 @@ expression: res_vec
"Function {\nname: \"A.__init__\",\nsig: \"fn[[t:T], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.foo\",\nsig: \"fn[[c:C], none]\",\nvar_id: []\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B[typevar18]\", \"A[float]\"],\nfields: [\"a\", \"b\", \"c\", \"d\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\"), (\"foo\", \"fn[[c:C], none]\")],\ntype_vars: [\"typevar18\"]\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B[typevar17]\", \"A[float]\"],\nfields: [\"a\", \"b\", \"c\", \"d\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\"), (\"foo\", \"fn[[c:C], none]\")],\ntype_vars: [\"typevar17\"]\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"B.fun\",\nsig: \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\",\nvar_id: []\n}\n",
"Class {\nname: \"C\",\nancestors: [\"C\", \"B[bool]\", \"A[float]\"],\nfields: [\"a\", \"b\", \"c\", \"d\", \"e\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\"), (\"foo\", \"fn[[c:C], none]\")],\ntype_vars: []\n}\n",

4
nac3core/src/toplevel/snapshots/nac3core__toplevel__test__test_analyze__list_tuple_generic.snap
View File

@ -5,8 +5,8 @@ expression: res_vec
[
"Function {\nname: \"foo\",\nsig: \"fn[[a:list[int32], b:tuple[T, float]], A[B, bool]]\",\nvar_id: []\n}\n",
"Class {\nname: \"A\",\nancestors: [\"A[T, V]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[v:V], none]\"), (\"fun\", \"fn[[a:T], V]\")],\ntype_vars: [\"T\", \"V\"]\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[v:V], none]\",\nvar_id: [31]\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:T], V]\",\nvar_id: [36]\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[v:V], none]\",\nvar_id: [30]\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:T], V]\",\nvar_id: [35]\n}\n",
"Function {\nname: \"gfun\",\nsig: \"fn[[a:A[int32, list[float]]], none]\",\nvar_id: []\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\"],\nfields: [],\nmethods: [(\"__init__\", \"fn[[], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",

2
nac3core/src/toplevel/snapshots/nac3core__toplevel__test__test_analyze__self1.snap
View File

@ -3,7 +3,7 @@ source: nac3core/src/toplevel/test.rs
expression: res_vec
---
[
"Class {\nname: \"A\",\nancestors: [\"A[typevar17, typevar18]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[a:A[bool, float], b:B], none]\"), (\"fun\", \"fn[[a:A[bool, float]], A[bool, int32]]\")],\ntype_vars: [\"typevar17\", \"typevar18\"]\n}\n",
"Class {\nname: \"A\",\nancestors: [\"A[typevar16, typevar17]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[a:A[bool, float], b:B], none]\"), (\"fun\", \"fn[[a:A[bool, float]], A[bool, int32]]\")],\ntype_vars: [\"typevar16\", \"typevar17\"]\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[a:A[bool, float], b:B], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:A[bool, float]], A[bool, int32]]\",\nvar_id: []\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\", \"A[int64, bool]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:A[bool, float]], A[bool, int32]]\"), (\"foo\", \"fn[[b:B], B]\"), (\"bar\", \"fn[[a:A[int32, list[B]]], tuple[A[bool, virtual[A[B, int32]]], B]]\")],\ntype_vars: []\n}\n",

4
nac3core/src/toplevel/snapshots/nac3core__toplevel__test__test_analyze__simple_class_compose.snap
View File

@ -6,12 +6,12 @@ expression: res_vec
"Class {\nname: \"A\",\nancestors: [\"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[b:B], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.foo\",\nsig: \"fn[[a:T, b:V], none]\",\nvar_id: [37]\n}\n",
"Function {\nname: \"A.foo\",\nsig: \"fn[[a:T, b:V], none]\",\nvar_id: [36]\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\", \"C\", \"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Class {\nname: \"C\",\nancestors: [\"C\", \"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"C.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"C.fun\",\nsig: \"fn[[b:B], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"foo\",\nsig: \"fn[[a:A], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"ff\",\nsig: \"fn[[a:T], V]\",\nvar_id: [45]\n}\n",
"Function {\nname: \"ff\",\nsig: \"fn[[a:T], V]\",\nvar_id: [44]\n}\n",
]

23
nac3core/src/toplevel/type_annotation.rs
View File

@ -492,24 +492,11 @@ pub fn get_type_from_type_annotation_kinds(
(*name, (subst_ty, *mutability))
}));
let need_subst = !subst.is_empty();
let ty = if obj_id == &PRIMITIVE_DEF_IDS.ndarray {
assert_eq!(subst.len(), 2);
let tv_tys = subst.iter()
.sorted_by_key(|(k, _)| *k)
.map(|(_, v)| v)
.collect_vec();
unifier.add_ty(TypeEnum::TNDArray {
ty: *tv_tys[0],
ndims: *tv_tys[1],
})
} else {
unifier.add_ty(TypeEnum::TObj {
obj_id: *obj_id,
fields: tobj_fields,
params: subst,
})
};
let ty = unifier.add_ty(TypeEnum::TObj {
obj_id: *obj_id,
fields: tobj_fields,
params: subst,
});
if need_subst {
if let Some(wl) = subst_list.as_mut() {
wl.push(ty);

101
nac3core/src/typecheck/type_inferencer/mod.rs
View File

@ -5,7 +5,14 @@ use std::{cell::RefCell, sync::Arc};
use super::typedef::{Call, FunSignature, FuncArg, RecordField, Type, TypeEnum, Unifier};
use super::{magic_methods::*, typedef::CallId};
use crate::{symbol_resolver::{SymbolResolver, SymbolValue}, toplevel::TopLevelContext};
use crate::{
symbol_resolver::{SymbolResolver, SymbolValue},
toplevel::{
helper::PRIMITIVE_DEF_IDS,
numpy::{make_ndarray_ty, unpack_ndarray_tvars},
TopLevelContext,
},
};
use itertools::izip;
use nac3parser::ast::{
self,
@ -47,6 +54,7 @@ pub struct PrimitiveStore {
pub str: Type,
pub exception: Type,
pub option: Type,
pub ndarray: Type,
pub size_t: u32,
}
@ -226,7 +234,7 @@ impl<'a> Fold<()> for Inferencer<'a> {
} else {
let list_like_ty = match &*self.unifier.get_ty(iter.custom.unwrap()) {
TypeEnum::TList { .. } => self.unifier.add_ty(TypeEnum::TList { ty: target.custom.unwrap() }),
TypeEnum::TNDArray { .. } => todo!(),
TypeEnum::TObj { obj_id, .. } if *obj_id == PRIMITIVE_DEF_IDS.ndarray => todo!(),
_ => unreachable!(),
};
self.unify(list_like_ty, iter.custom.unwrap(), &iter.location)?;
@ -916,10 +924,12 @@ impl<'a> Inferencer<'a> {
vec![SymbolValue::U64(ndims)],
None,
);
let ret = self.unifier.add_ty(TypeEnum::TNDArray {
ty: self.primitives.float,
ndims
});
let ret = make_ndarray_ty(
self.unifier,
self.primitives,
Some(self.primitives.float),
Some(ndims),
);
let custom = self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![
FuncArg {
@ -966,11 +976,12 @@ impl<'a> Inferencer<'a> {
vec![SymbolValue::U64(ndims)],
None,
);
let ret = self.unifier.add_ty(TypeEnum::TNDArray {
ty,
ndims
});
let ret = make_ndarray_ty(
self.unifier,
self.primitives,
Some(ty),
Some(ndims),
);
let custom = self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![
FuncArg {
@ -1252,11 +1263,16 @@ impl<'a> Inferencer<'a> {
TypeEnum::TVar { is_const_generic: false, .. }
));
let constrained_ty = self.unifier.add_ty(TypeEnum::TNDArray { ty: dummy_tvar, ndims });
let constrained_ty = make_ndarray_ty(
self.unifier,
self.primitives,
Some(dummy_tvar),
Some(ndims),
);
self.constrain(value.custom.unwrap(), constrained_ty, &value.location)?;
let TypeEnum::TLiteral { values, .. } = &*self.unifier.get_ty_immutable(ndims) else {
panic!("Expected TLiteral for TNDArray.ndims, got {}", self.unifier.stringify(ndims))
panic!("Expected TLiteral for ndarray.ndims, got {}", self.unifier.stringify(ndims))
};
let ndims = values.iter()
@ -1264,10 +1280,10 @@ impl<'a> Inferencer<'a> {
SymbolValue::U64(v) => Ok(v),
SymbolValue::U32(v) => Ok(v as u64),
SymbolValue::I32(v) => u64::try_from(v).map_err(|_| HashSet::from([
format!("Expected non-negative literal for TNDArray.ndims, got {v}"),
format!("Expected non-negative literal for ndarray.ndims, got {v}"),
])),
SymbolValue::I64(v) => u64::try_from(v).map_err(|_| HashSet::from([
format!("Expected non-negative literal for TNDArray.ndims, got {v}"),
format!("Expected non-negative literal for ndarray.ndims, got {v}"),
])),
_ => unreachable!(),
})
@ -1292,10 +1308,12 @@ impl<'a> Inferencer<'a> {
ndims.into_iter().map(|v| SymbolValue::U64(v - 1)).collect(),
None,
);
let subscripted_ty = self.unifier.add_ty(TypeEnum::TNDArray {
ty: dummy_tvar,
ndims: ndims_min_one_ty,
});
let subscripted_ty = make_ndarray_ty(
self.unifier,
self.primitives,
Some(dummy_tvar),
Some(ndims_min_one_ty),
);
Ok(subscripted_ty)
}
@ -1315,27 +1333,36 @@ impl<'a> Inferencer<'a> {
}
let list_like_ty = match &*self.unifier.get_ty(value.custom.unwrap()) {
TypeEnum::TList { .. } => self.unifier.add_ty(TypeEnum::TList { ty }),
TypeEnum::TNDArray { ndims, .. } => self.unifier.add_ty(TypeEnum::TNDArray { ty, ndims: *ndims }),
TypeEnum::TObj { obj_id, .. } if *obj_id == PRIMITIVE_DEF_IDS.ndarray => {
let (_, ndims) = unpack_ndarray_tvars(self.unifier, value.custom.unwrap());
make_ndarray_ty(self.unifier, self.primitives, Some(ty), Some(ndims))
}
_ => unreachable!()
};
self.constrain(value.custom.unwrap(), list_like_ty, &value.location)?;
Ok(list_like_ty)
}
ExprKind::Constant { value: ast::Constant::Int(val), .. } => {
if let TypeEnum::TNDArray { ndims, .. } = &*self.unifier.get_ty(value.custom.unwrap()) {
self.infer_subscript_ndarray(value, ty, *ndims)
} else {
// the index is a constant, so value can be a sequence.
let ind: Option<i32> = (*val).try_into().ok();
let ind = ind.ok_or_else(|| HashSet::from(["Index must be int32".to_string()]))?;
let map = once((
ind.into(),
RecordField::new(ty, ctx == &ExprContext::Store, Some(value.location)),
))
.collect();
let seq = self.unifier.add_record(map);
self.constrain(value.custom.unwrap(), seq, &value.location)?;
Ok(ty)
match &*self.unifier.get_ty(value.custom.unwrap()) {
TypeEnum::TObj { obj_id, .. } if *obj_id == PRIMITIVE_DEF_IDS.ndarray => {
let (_, ndims) = unpack_ndarray_tvars(self.unifier, value.custom.unwrap());
self.infer_subscript_ndarray(value, ty, ndims)
}
_ => {
// the index is a constant, so value can be a sequence.
let ind: Option<i32> = (*val).try_into().ok();
let ind = ind.ok_or_else(|| HashSet::from(["Index must be int32".to_string()]))?;
let map = once((
ind.into(),
RecordField::new(ty, ctx == &ExprContext::Store, Some(value.location)),
))
.collect();
let seq = self.unifier.add_record(map);
self.constrain(value.custom.unwrap(), seq, &value.location)?;
Ok(ty)
}
}
}
_ => {
@ -1351,9 +1378,11 @@ impl<'a> Inferencer<'a> {
self.constrain(value.custom.unwrap(), list, &value.location)?;
Ok(ty)
}
TypeEnum::TNDArray { ndims, .. } => {
TypeEnum::TObj { obj_id, .. } if *obj_id == PRIMITIVE_DEF_IDS.ndarray => {
let (_, ndims) = unpack_ndarray_tvars(self.unifier, value.custom.unwrap());
self.constrain(slice.custom.unwrap(), self.primitives.usize(), &slice.location)?;
self.infer_subscript_ndarray(value, ty, *ndims)
self.infer_subscript_ndarray(value, ty, ndims)
}
_ => unreachable!(),
}

12
nac3core/src/typecheck/type_inferencer/test.rs
View File

@ -135,6 +135,11 @@ impl TestEnvironment {
fields: HashMap::new(),
params: HashMap::new(),
});
let ndarray = unifier.add_ty(TypeEnum::TObj {
obj_id: PRIMITIVE_DEF_IDS.ndarray,
fields: HashMap::new(),
params: HashMap::new(),
});
let primitives = PrimitiveStore {
int32,
int64,
@ -147,6 +152,7 @@ impl TestEnvironment {
uint32,
uint64,
option,
ndarray,
size_t: 64,
};
unifier.put_primitive_store(&primitives);
@ -262,6 +268,11 @@ impl TestEnvironment {
fields: HashMap::new(),
params: HashMap::new(),
});
let ndarray = unifier.add_ty(TypeEnum::TObj {
obj_id: PRIMITIVE_DEF_IDS.ndarray,
fields: HashMap::new(),
params: HashMap::new(),
});
identifier_mapping.insert("None".into(), none);
for (i, name) in ["int32", "int64", "float", "bool", "none", "range", "str", "Exception"]
.iter()
@ -296,6 +307,7 @@ impl TestEnvironment {
uint32,
uint64,
option,
ndarray,
size_t: 64,
};

78
nac3core/src/typecheck/typedef/mod.rs
View File

@ -159,11 +159,6 @@ pub enum TypeEnum {
ty: Type,
},
TNDArray {
ty: Type,
ndims: Type,
},
/// An object type.
TObj {
/// The [DefintionId] of this object type.
@ -198,34 +193,12 @@ impl TypeEnum {
TypeEnum::TLiteral { .. } => "TConstant",
TypeEnum::TTuple { .. } => "TTuple",
TypeEnum::TList { .. } => "TList",
TypeEnum::TNDArray { .. } => "TNDArray",
TypeEnum::TObj { .. } => "TObj",
TypeEnum::TVirtual { .. } => "TVirtual",
TypeEnum::TCall { .. } => "TCall",
TypeEnum::TFunc { .. } => "TFunc",
}
}
/// Returns a [`TypeEnum`] representing a generic `ndarray` type.
///
/// * `dtype` - The datatype of the `ndarray`, or `None` if the datatype is generic.
/// * `ndims` - The number of dimensions of the `ndarray`, or `None` if the number of dimensions is generic.
#[must_use]
pub fn ndarray(
unifier: &mut Unifier,
dtype: Option<Type>,
ndims: Option<Type>,
primitives: &PrimitiveStore
) -> TypeEnum {
let dtype = dtype.unwrap_or_else(|| unifier.get_fresh_var(Some("T".into()), None).0);
let ndims = ndims
.unwrap_or_else(|| unifier.get_fresh_const_generic_var(primitives.usize(), Some("N".into()), None).0);
TypeEnum::TNDArray {
ty: dtype,
ndims,
}
}
}
pub type SharedUnifier = Arc<Mutex<(UnificationTable<TypeEnum>, u32, Vec<Call>)>>;
@ -445,9 +418,6 @@ impl Unifier {
TypeEnum::TList { ty } => self
.get_instantiations(*ty)
.map(|ty| ty.iter().map(|&ty| self.add_ty(TypeEnum::TList { ty })).collect_vec()),
TypeEnum::TNDArray { ty, ndims } => self
.get_instantiations(*ty)
.map(|ty| ty.iter().map(|&ty| self.add_ty(TypeEnum::TNDArray { ty, ndims: *ndims })).collect_vec()),
TypeEnum::TVirtual { ty } => self.get_instantiations(*ty).map(|ty| {
ty.iter().map(|&ty| self.add_ty(TypeEnum::TVirtual { ty })).collect_vec()
}),
@ -505,8 +475,7 @@ impl Unifier {
TVar { .. } => allowed_typevars.iter().any(|b| self.unification_table.unioned(a, *b)),
TCall { .. } => false,
TList { ty }
| TVirtual { ty }
| TNDArray { ty, .. } => self.is_concrete(*ty, allowed_typevars),
| TVirtual { ty } => self.is_concrete(*ty, allowed_typevars),
TTuple { ty } => ty.iter().all(|ty| self.is_concrete(*ty, allowed_typevars)),
TObj { params: vars, .. } => {
@ -752,7 +721,7 @@ impl Unifier {
self.unify_impl(x, b, false)?;
self.set_a_to_b(a, x);
}
(TVar { fields: Some(fields), range, is_const_generic: false, .. }, TList { ty } | TNDArray { ty, .. }) => {
(TVar { fields: Some(fields), range, is_const_generic: false, .. }, TList { ty }) => {
for (k, v) in fields {
match *k {
RecordKey::Int(_) => {
@ -792,7 +761,6 @@ impl Unifier {
// If the types don't match, try to implicitly promote integers
if !self.unioned(ty, value_ty) {
let num_val = match *value {
SymbolValue::I32(v) => v as i128,
SymbolValue::I64(v) => v as i128,
@ -864,15 +832,6 @@ impl Unifier {
}
self.set_a_to_b(a, b);
}
(TNDArray { ty: ty1, ndims: ndims1 }, TNDArray { ty: ty2, ndims: ndims2 }) => {
if self.unify_impl(*ty1, *ty2, false).is_err() {
return Self::incompatible_types(a, b)
}
if self.unify_impl(*ndims1, *ndims2, false).is_err() {
return Self::incompatible_types(a, b)
}
self.set_a_to_b(a, b);
}
(TVar { fields: Some(map), range, .. }, TObj { fields, .. }) => {
for (k, field) in map {
match *k {
@ -1120,13 +1079,6 @@ impl Unifier {
TypeEnum::TList { ty } => {
format!("list[{}]", self.internal_stringify(*ty, obj_to_name, var_to_name, notes))
}
TypeEnum::TNDArray { ty, ndims } => {
format!(
"ndarray[{}, {}]",
self.internal_stringify(*ty, obj_to_name, var_to_name, notes),
self.internal_stringify(*ndims, obj_to_name, var_to_name, notes),
)
}
TypeEnum::TVirtual { ty } => {
format!(
"virtual[{}]",
@ -1264,19 +1216,6 @@ impl Unifier {
TypeEnum::TList { ty } => {
self.subst_impl(*ty, mapping, cache).map(|t| self.add_ty(TypeEnum::TList { ty: t }))
}
TypeEnum::TNDArray { ty, ndims } => {
let new_ty = self.subst_impl(*ty, mapping, cache);
let new_ndims = self.subst_impl(*ndims, mapping, cache);
if new_ty.is_some() || new_ndims.is_some() {
Some(self.add_ty(TypeEnum::TNDArray {
ty: new_ty.unwrap_or(*ty),
ndims: new_ndims.unwrap_or(*ndims)
}))
} else {
None
}
}
TypeEnum::TVirtual { ty } => self
.subst_impl(*ty, mapping, cache)
.map(|t| self.add_ty(TypeEnum::TVirtual { ty: t })),
@ -1447,19 +1386,6 @@ impl Unifier {
(TList { ty: ty1 }, TList { ty: ty2 }) => {
Ok(self.get_intersection(*ty1, *ty2)?.map(|ty| self.add_ty(TList { ty })))
}
(TNDArray { ty: ty1, ndims: ndims1 }, TNDArray { ty: ty2, ndims: ndims2 }) => {
let ty = self.get_intersection(*ty1, *ty2)?;
let ndims = self.get_intersection(*ndims1, *ndims2)?;
Ok(if ty.is_some() || ndims.is_some() {
Some(self.add_ty(TNDArray {
ty: ty.unwrap_or(*ty1),
ndims: ndims.unwrap_or(*ndims1),
}))
} else {
None
})
}
(TVirtual { ty: ty1 }, TVirtual { ty: ty2 }) => {
Ok(self.get_intersection(*ty1, *ty2)?.map(|ty| self.add_ty(TVirtual { ty })))
}

2
nac3core/src/typecheck/typedef/test.rs
View File

@ -40,7 +40,7 @@ impl Unifier {
TypeEnum::TObj { obj_id: id1, params: params1, .. },
TypeEnum::TObj { obj_id: id2, params: params2, .. },
) => id1 == id2 && self.map_eq(params1, params2),
// TNDArray, TLiteral, TCall and TFunc are not yet implemented
// TLiteral, TCall and TFunc are not yet implemented
_ => false,
}
}