encoding/cbor: support the matrix type

core/encoding/cbor/marshal.odin

@@ -612,6 +612,24 @@ _marshal_into_encoder :: proc(e: Encoder, v: any, ti: ^runtime.Type_Info) -> (er
 		case:
 			panic("unknown bit_size size")
 		}
+	case runtime.Type_Info_Matrix:
+		count := info.column_count * info.elem_stride
+		err_conv(_encode_u64(e, u64(count), .Array)) or_return
+
+		if impl, ok := _tag_implementations_type[info.elem.id]; ok {
+			for i in 0..<count {
+				data := uintptr(v.data) + uintptr(i*info.elem_size)
+				impl->marshal(e, any{rawptr(data), info.elem.id}) or_return
+			}
+			return
+		}
+
+		elem_ti := runtime.type_info_core(type_info_of(info.elem.id))
+		for i in 0..<count {
+			data := uintptr(v.data) + uintptr(i*info.elem_size)
+			_marshal_into_encoder(e, any{rawptr(data), info.elem.id}, elem_ti) or_return
+		}
+		return
 	}
 
 	return _unsupported(v.id, nil)

core/encoding/cbor/unmarshal.odin

@@ -591,6 +591,19 @@ _unmarshal_array :: proc(d: Decoder, v: any, ti: ^reflect.Type_Info, hdr: Header
 		if out_of_space { return _unsupported(v, hdr) }
 		return
 
+	case reflect.Type_Info_Matrix:
+		count := t.column_count * t.elem_stride
+		length, _ := err_conv(_decode_len_container(d, add)) or_return
+		if length > count {
+			return _unsupported(v, hdr)
+		}
+
+		da := mem.Raw_Dynamic_Array{rawptr(v.data), 0, length, allocator }
+
+		out_of_space := assign_array(d, &da, t.elem, length, growable=false) or_return
+		if out_of_space { return _unsupported(v, hdr) }
+		return
+
 	case: return _unsupported(v, hdr)
 	}
 }

tests/core/encoding/cbor/test_core_cbor.odin

@@ -43,6 +43,7 @@ Foo :: struct {
 	biggest: big.Int,
 	smallest: big.Int,
 	ignore_this: ^Foo `cbor:"-"`,
+	mat: matrix[4, 4]f32,
 }
 
 FooBar :: enum {
@@ -95,6 +96,7 @@ test_marshalling :: proc(t: ^testing.T) {
 			onetwenty = i128(12345),
 			small_onetwenty = -i128(max(u64)),
 			ignore_this = &Foo{},
+			mat = 1,
 		}
 
 		big.atoi(&f.biggest, "1234567891011121314151617181920")
@@ -120,6 +122,24 @@ test_marshalling :: proc(t: ^testing.T) {
 		defer delete(diagnosis)
 		testing.expect_value(t, diagnosis, `{
 	"no": null,
+	"mat": [
+		1.0000,
+		0.0000,
+		0.0000,
+		0.0000,
+		0.0000,
+		1.0000,
+		0.0000,
+		0.0000,
+		0.0000,
+		0.0000,
+		1.0000,
+		0.0000,
+		0.0000,
+		0.0000,
+		0.0000,
+		1.0000
+	],
 	"neg": -69,
 	"nos": undefined,
 	"now": 1(1701117968),