forked from M-Labs/nac3
core/typecheck: add missing typecheck in matmul
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@ -520,6 +520,23 @@ pub fn typeof_binop(
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}
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}
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Operator::MatMult => {
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Operator::MatMult => {
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// NOTE: NumPy matmul's LHS and RHS must both be ndarrays. Scalars are not allowed.
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match (&*unifier.get_ty(lhs), &*unifier.get_ty(rhs)) {
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(
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TypeEnum::TObj { obj_id: lhs_obj_id, .. },
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TypeEnum::TObj { obj_id: rhs_obj_id, .. },
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) if *lhs_obj_id == primitives.ndarray.obj_id(unifier).unwrap()
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&& *rhs_obj_id == primitives.ndarray.obj_id(unifier).unwrap() =>
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{
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// LHS and RHS have valid types
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}
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_ => {
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let lhs_str = unifier.stringify(lhs);
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let rhs_str = unifier.stringify(rhs);
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return Err(format!("ndarray.__matmul__ only accepts ndarray operands, but left operand has type {lhs_str}, and right operand has type {rhs_str}"));
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}
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}
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let (_, lhs_ndims) = unpack_ndarray_var_tys(unifier, lhs);
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let (_, lhs_ndims) = unpack_ndarray_var_tys(unifier, lhs);
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let lhs_ndims = match &*unifier.get_ty_immutable(lhs_ndims) {
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let lhs_ndims = match &*unifier.get_ty_immutable(lhs_ndims) {
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TypeEnum::TLiteral { values, .. } => {
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TypeEnum::TLiteral { values, .. } => {
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