core: Fix Literal use in variable type annotation
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27011f385b
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@ -16,7 +16,7 @@ use crate::{
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},
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};
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use inkwell::values::{BasicValueEnum, FloatValue, IntValue, PointerValue, StructValue};
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use itertools::{chain, izip};
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use itertools::{chain, Itertools, izip};
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use nac3parser::ast::{Constant, Expr, Location, StrRef};
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use parking_lot::RwLock;
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@ -354,7 +354,7 @@ pub trait SymbolResolver {
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}
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thread_local! {
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static IDENTIFIER_ID: [StrRef; 12] = [
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static IDENTIFIER_ID: [StrRef; 13] = [
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"int32".into(),
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"int64".into(),
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"float".into(),
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@ -367,6 +367,7 @@ thread_local! {
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"Exception".into(),
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"uint32".into(),
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"uint64".into(),
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"Literal".into(),
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];
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}
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@ -392,6 +393,7 @@ pub fn parse_type_annotation<T>(
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let exn_id = ids[9];
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let uint32_id = ids[10];
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let uint64_id = ids[11];
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let literal_id = ids[12];
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let name_handling = |id: &StrRef, loc: Location, unifier: &mut Unifier| {
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if *id == int32_id {
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@ -491,6 +493,27 @@ pub fn parse_type_annotation<T>(
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"Expected multiple elements for tuple".into()
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]))
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}
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} else if *id == literal_id {
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let mut parse_literal = |elt: &Expr<T>| {
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let ty = parse_type_annotation(resolver, top_level_defs, unifier, primitives, elt)?;
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let ty_enum = &*unifier.get_ty_immutable(ty);
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match ty_enum {
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TypeEnum::TLiteral { values, .. } => Ok(values.clone()),
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_ => Err(HashSet::from([
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format!("Expected literal in type argument for Literal at {}", elt.location),
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]))
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}
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};
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let values = if let Tuple { elts, .. } = &slice.node {
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elts.iter()
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.map(|elt| parse_literal(elt))
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.collect::<Result<Vec<_>, _>>()?
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} else {
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vec![parse_literal(slice)?]
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}.into_iter().flatten().collect_vec();
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Ok(unifier.get_fresh_literal(values, Some(slice.location)))
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} else {
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let types = if let Tuple { elts, .. } = &slice.node {
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elts.iter()
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@ -554,6 +577,9 @@ pub fn parse_type_annotation<T>(
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]))
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}
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}
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Constant { value, .. } => SymbolValue::from_constant_inferred(value, unifier)
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.map(|v| unifier.get_fresh_literal(vec![v], Some(expr.location.clone())))
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.map_err(|err| HashSet::from([err])),
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_ => Err(HashSet::from([
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format!("unsupported type expression at {}", expr.location),
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])),
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@ -8,33 +8,33 @@ def consume_ndarray_2(n: ndarray[float, Literal[2]]):
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pass
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def test_ndarray_ctor():
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n = np_ndarray([1])
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n: ndarray[float, Literal[1]] = np_ndarray([1])
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consume_ndarray_1(n)
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def test_ndarray_empty():
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n = np_empty([1])
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n: ndarray[float, 1] = np_empty([1])
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consume_ndarray_1(n)
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def test_ndarray_zeros():
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n = np_zeros([1])
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n: ndarray[float, 1] = np_zeros([1])
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consume_ndarray_1(n)
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def test_ndarray_ones():
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n = np_ones([1])
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n: ndarray[float, 1] = np_ones([1])
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consume_ndarray_1(n)
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def test_ndarray_full():
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n_float = np_full([1], 2.0)
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n_float: ndarray[float, 1] = np_full([1], 2.0)
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consume_ndarray_1(n_float)
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n_i32 = np_full([1], 2)
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n_i32: ndarray[int32, 1] = np_full([1], 2)
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consume_ndarray_i32_1(n_i32)
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def test_ndarray_eye():
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n = np_eye(2)
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n: ndarray[float, 2] = np_eye(2)
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consume_ndarray_2(n)
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def test_ndarray_identity():
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n = np_identity(2)
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n: ndarray[float, 2] = np_identity(2)
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consume_ndarray_2(n)
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def run() -> int32:
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