core/typecheck: Implement unification for scalar indexing of ndarrays
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@ -518,12 +518,13 @@ impl TestEnvironment {
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a = array([1, 2])
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a = array([1, 2])
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a0 = a[0]
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a0 = a[0]
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b = array([[1, 2], [3, 4]])
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b = array([[1, 2], [3, 4]])
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# b0 = b[0]
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b0 = b[0]
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b00 = b[0, 0]
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b00 = b[0, 0]
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c = 1
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c = 1
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ac = a[c]
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ac = a[c]
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"},
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"},
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[("a", "ndarray[int32, 1]"), ("b", "ndarray[int32, 2]"), ("a0", "int32"), ("b00", "int32"), ("ac", "int32")].iter().cloned().collect(),
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[("a", "ndarray[int32, 1]"), ("a0", "int32"), ("b", "ndarray[int32, 2]"),
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("b0", "ndarray[int32, 1]"), ("b00", "int32"), ("ac", "int32")].iter().cloned().collect(),
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&[]
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&[]
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; "array test")]
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; "array test")]
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#[test_case(indoc! {"
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#[test_case(indoc! {"
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@ -662,13 +662,17 @@ impl Unifier {
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for (k, v) in fields.iter() {
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for (k, v) in fields.iter() {
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match *k {
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match *k {
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RecordKey::Int(_) => {
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RecordKey::Int(_) => {
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if *num_dims > 1 {
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// .<n> is generated during generic scalar indexing lowering.
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unreachable!("xxx implement unification for scalar indexing of multidimensional array");
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let indexed_ty = if *num_dims == 1 {
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}
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*ty
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self.unify_impl(v.ty, *ty, false).map_err(|e| e.at(v.loc))?
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} else {
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self.add_ty(TNDArray { ty: *ty, num_dims: *num_dims - 1 })
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};
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self.unify_impl(v.ty, indexed_ty, false).map_err(|e| e.at(v.loc))?
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}
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}
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RecordKey::Str(_) => {
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RecordKey::Str(_) => {
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return Err(TypeError::new(TypeErrorKind::NoSuchField(*k, b), v.loc))
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// xxx: Implement .shape here?
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return Err(TypeError::new(TypeErrorKind::NoSuchField(*k, b), v.loc));
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}
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}
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}
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}
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}
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}
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