core: allow np_full to take tuple shapes

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lyken 2024-08-30 17:11:38 +08:00
parent 122983f11c
commit 8c8f1e7bf0
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GPG Key ID: 3BD5FC6AC8325DD8
1 changed files with 12 additions and 19 deletions

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@ -1550,36 +1550,29 @@ impl<'a> Inferencer<'a> {
}
// 2-argument ndarray n-dimensional creation functions
if id == &"np_full".into() && args.len() == 2 {
let ExprKind::List { elts, .. } = &args[0].node else {
return report_error(
format!(
"Expected List literal for first argument of {id}, got {}",
args[0].node.name()
)
.as_str(),
args[0].location,
);
};
// Parse arguments
let shape_expr = args.remove(0);
let (ndims, shape) =
self.fold_numpy_function_call_shape_argument(*id, 0, shape_expr)?; // Special handling for `shape`
let ndims = elts.len() as u64;
let fill_value = self.fold_expr(args.remove(0))?;
let arg0 = self.fold_expr(args.remove(0))?;
let arg1 = self.fold_expr(args.remove(0))?;
let ty = arg1.custom.unwrap();
// Build the return type
let dtype = fill_value.custom.unwrap();
let ndims = self.unifier.get_fresh_literal(vec![SymbolValue::U64(ndims)], None);
let ret = make_ndarray_ty(self.unifier, self.primitives, Some(ty), Some(ndims));
let ret = make_ndarray_ty(self.unifier, self.primitives, Some(dtype), Some(ndims));
let custom = self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![
FuncArg {
name: "shape".into(),
ty: arg0.custom.unwrap(),
ty: shape.custom.unwrap(),
default_value: None,
is_vararg: false,
},
FuncArg {
name: "fill_value".into(),
ty: arg1.custom.unwrap(),
ty: fill_value.custom.unwrap(),
default_value: None,
is_vararg: false,
},
@ -1597,7 +1590,7 @@ impl<'a> Inferencer<'a> {
location: func.location,
node: ExprKind::Name { id: *id, ctx: *ctx },
}),
args: vec![arg0, arg1],
args: vec![shape, fill_value],
keywords: vec![],
},
}));