diff --git a/nac3artiq/src/codegen.rs b/nac3artiq/src/codegen.rs
index aece9263..99998791 100644
--- a/nac3artiq/src/codegen.rs
+++ b/nac3artiq/src/codegen.rs
@@ -498,7 +498,7 @@ fn format_rpc_arg<'ctx>(
             call_memcpy_generic(
                 ctx,
                 pbuffer_dims_begin,
-                llvm_arg.dim_sizes().base_ptr(ctx, generator),
+                llvm_arg.shape().base_ptr(ctx, generator),
                 dims_buf_sz,
                 llvm_i1.const_zero(),
             );
@@ -612,7 +612,7 @@ fn format_rpc_ret<'ctx>(
             // Set `ndarray.ndims`
             ndarray.store_ndims(ctx, generator, llvm_usize.const_int(ndims, false));
             // Allocate `ndarray.shape` [size_t; ndims]
-            ndarray.create_dim_sizes(ctx, llvm_usize, ndarray.load_ndims(ctx));
+            ndarray.create_shape(ctx, llvm_usize, ndarray.load_ndims(ctx));
 
             /*
                 ndarray now:
@@ -702,7 +702,7 @@ fn format_rpc_ret<'ctx>(
 
             call_memcpy_generic(
                 ctx,
-                ndarray.dim_sizes().base_ptr(ctx, generator),
+                ndarray.shape().base_ptr(ctx, generator),
                 pbuffer_dims,
                 sizeof_dims,
                 llvm_i1.const_zero(),
@@ -714,7 +714,7 @@ fn format_rpc_ret<'ctx>(
             // `ndarray.shape` must be initialized beforehand in this implementation
             //   (for ndarray.create_data() to know how many elements to allocate)
             let num_elements =
-                call_ndarray_calc_size(generator, ctx, &ndarray.dim_sizes(), (None, None));
+                call_ndarray_calc_size(generator, ctx, &ndarray.shape(), (None, None));
 
             // debug_assert(nelems * sizeof(T) >= ndarray_nbytes)
             if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
@@ -1379,7 +1379,7 @@ fn polymorphic_print<'ctx>(
                     llvm_usize,
                     None,
                 );
-                let len = call_ndarray_calc_size(generator, ctx, &val.dim_sizes(), (None, None));
+                let len = call_ndarray_calc_size(generator, ctx, &val.shape(), (None, None));
                 let last =
                     ctx.builder.build_int_sub(len, llvm_usize.const_int(1, false), "").unwrap();
 
diff --git a/nac3core/src/codegen/builtin_fns.rs b/nac3core/src/codegen/builtin_fns.rs
index e693faff..20d35006 100644
--- a/nac3core/src/codegen/builtin_fns.rs
+++ b/nac3core/src/codegen/builtin_fns.rs
@@ -78,7 +78,7 @@ pub fn call_len<'ctx, G: CodeGenerator + ?Sized>(
                     None,
                 );
 
-                let ndims = arg.dim_sizes().size(ctx, generator);
+                let ndims = arg.shape().size(ctx, generator);
                 ctx.make_assert(
                     generator,
                     ctx.builder
@@ -91,12 +91,7 @@ pub fn call_len<'ctx, G: CodeGenerator + ?Sized>(
                 );
 
                 let len = unsafe {
-                    arg.dim_sizes().get_typed_unchecked(
-                        ctx,
-                        generator,
-                        &llvm_usize.const_zero(),
-                        None,
-                    )
+                    arg.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
                 };
 
                 ctx.builder.build_int_truncate_or_bit_cast(len, llvm_i32, "len").unwrap()
@@ -927,7 +922,7 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
             let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
 
             let n = NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None);
-            let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.dim_sizes(), (None, None));
+            let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.shape(), (None, None));
             if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
                 let n_sz_eqz = ctx
                     .builder
@@ -1981,12 +1976,12 @@ pub fn call_np_linalg_cholesky<'ctx, G: CodeGenerator + ?Sized>(
 
         let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
         let dim0 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
                 .into_int_value()
         };
         let dim1 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
                 .into_int_value()
         };
@@ -2023,12 +2018,12 @@ pub fn call_np_linalg_qr<'ctx, G: CodeGenerator + ?Sized>(
 
         let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
         let dim0 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
                 .into_int_value()
         };
         let dim1 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
                 .into_int_value()
         };
@@ -2074,12 +2069,12 @@ pub fn call_np_linalg_svd<'ctx, G: CodeGenerator + ?Sized>(
         let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
 
         let dim0 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
                 .into_int_value()
         };
         let dim1 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
                 .into_int_value()
         };
@@ -2128,12 +2123,12 @@ pub fn call_np_linalg_inv<'ctx, G: CodeGenerator + ?Sized>(
 
         let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
         let dim0 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
                 .into_int_value()
         };
         let dim1 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
                 .into_int_value()
         };
@@ -2171,12 +2166,12 @@ pub fn call_np_linalg_pinv<'ctx, G: CodeGenerator + ?Sized>(
         let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
 
         let dim0 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
                 .into_int_value()
         };
         let dim1 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
                 .into_int_value()
         };
@@ -2214,12 +2209,12 @@ pub fn call_sp_linalg_lu<'ctx, G: CodeGenerator + ?Sized>(
         let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
 
         let dim0 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
                 .into_int_value()
         };
         let dim1 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
                 .into_int_value()
         };
@@ -2284,12 +2279,12 @@ pub fn call_np_linalg_matrix_power<'ctx, G: CodeGenerator + ?Sized>(
         let n2_array = n2_array.as_base_value().as_basic_value_enum();
 
         let outdim0 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
                 .into_int_value()
         };
         let outdim1 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
                 .into_int_value()
         };
@@ -2362,7 +2357,7 @@ pub fn call_sp_linalg_schur<'ctx, G: CodeGenerator + ?Sized>(
         let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
 
         let dim0 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
                 .into_int_value()
         };
@@ -2405,7 +2400,7 @@ pub fn call_sp_linalg_hessenberg<'ctx, G: CodeGenerator + ?Sized>(
         let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
 
         let dim0 = unsafe {
-            n1.dim_sizes()
+            n1.shape()
                 .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
                 .into_int_value()
         };
diff --git a/nac3core/src/codegen/expr.rs b/nac3core/src/codegen/expr.rs
index 01047b30..f8462ab2 100644
--- a/nac3core/src/codegen/expr.rs
+++ b/nac3core/src/codegen/expr.rs
@@ -2631,7 +2631,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
                 let llvm_i32 = ctx.ctx.i32_type();
 
                 let len = unsafe {
-                    v.dim_sizes().get_typed_unchecked(
+                    v.shape().get_typed_unchecked(
                         ctx,
                         generator,
                         &llvm_usize.const_int(dim, true),
@@ -2672,7 +2672,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
 
             ExprKind::Slice { lower, upper, step } => {
                 let dim_sz = unsafe {
-                    v.dim_sizes().get_typed_unchecked(
+                    v.shape().get_typed_unchecked(
                         ctx,
                         generator,
                         &llvm_usize.const_int(dim, false),
@@ -2813,7 +2813,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
                 );
 
                 let ndarray_num_dims = ndarray.load_ndims(ctx);
-                ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
+                ndarray.create_shape(ctx, llvm_usize, ndarray_num_dims);
 
                 let ndarray_num_dims = ctx
                     .builder
@@ -2824,7 +2824,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
                     )
                     .unwrap();
                 let v_dims_src_ptr = unsafe {
-                    v.dim_sizes().ptr_offset_unchecked(
+                    v.shape().ptr_offset_unchecked(
                         ctx,
                         generator,
                         &llvm_usize.const_int(1, false),
@@ -2833,7 +2833,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
                 };
                 call_memcpy_generic(
                     ctx,
-                    ndarray.dim_sizes().base_ptr(ctx, generator),
+                    ndarray.shape().base_ptr(ctx, generator),
                     v_dims_src_ptr,
                     ctx.builder
                         .build_int_mul(ndarray_num_dims, llvm_usize.size_of(), "")
@@ -2845,7 +2845,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
                 let ndarray_num_elems = call_ndarray_calc_size(
                     generator,
                     ctx,
-                    &ndarray.dim_sizes().as_slice_value(ctx, generator),
+                    &ndarray.shape().as_slice_value(ctx, generator),
                     (None, None),
                 );
                 let ndarray_num_elems = ctx
diff --git a/nac3core/src/codegen/irrt/ndarray.rs b/nac3core/src/codegen/irrt/ndarray.rs
index bfec1d56..541c1175 100644
--- a/nac3core/src/codegen/irrt/ndarray.rs
+++ b/nac3core/src/codegen/irrt/ndarray.rs
@@ -103,7 +103,7 @@ pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
         });
 
     let ndarray_num_dims = ndarray.load_ndims(ctx);
-    let ndarray_dims = ndarray.dim_sizes();
+    let ndarray_dims = ndarray.shape();
 
     let indices = ctx.builder.build_array_alloca(llvm_i32, ndarray_num_dims, "").unwrap();
 
@@ -172,7 +172,7 @@ where
         });
 
     let ndarray_num_dims = ndarray.load_ndims(ctx);
-    let ndarray_dims = ndarray.dim_sizes();
+    let ndarray_dims = ndarray.shape();
 
     let index = ctx
         .builder
@@ -259,8 +259,8 @@ pub fn call_ndarray_calc_broadcast<'ctx, G: CodeGenerator + ?Sized>(
             let idx = ctx.builder.build_int_sub(min_ndims, idx, "").unwrap();
             let (lhs_dim_sz, rhs_dim_sz) = unsafe {
                 (
-                    lhs.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None),
-                    rhs.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None),
+                    lhs.shape().get_typed_unchecked(ctx, generator, &idx, None),
+                    rhs.shape().get_typed_unchecked(ctx, generator, &idx, None),
                 )
             };
 
@@ -298,9 +298,9 @@ pub fn call_ndarray_calc_broadcast<'ctx, G: CodeGenerator + ?Sized>(
     .unwrap();
 
     let max_ndims = llvm_intrinsics::call_int_umax(ctx, lhs_ndims, rhs_ndims, None);
-    let lhs_dims = lhs.dim_sizes().base_ptr(ctx, generator);
+    let lhs_dims = lhs.shape().base_ptr(ctx, generator);
     let lhs_ndims = lhs.load_ndims(ctx);
-    let rhs_dims = rhs.dim_sizes().base_ptr(ctx, generator);
+    let rhs_dims = rhs.shape().base_ptr(ctx, generator);
     let rhs_ndims = rhs.load_ndims(ctx);
     let out_dims = ctx.builder.build_array_alloca(llvm_usize, max_ndims, "").unwrap();
     let out_dims = ArraySliceValue::from_ptr_val(out_dims, max_ndims, None);
@@ -362,7 +362,7 @@ pub fn call_ndarray_calc_broadcast_index<
     let broadcast_size = broadcast_idx.size(ctx, generator);
     let out_idx = ctx.builder.build_array_alloca(llvm_i32, broadcast_size, "").unwrap();
 
-    let array_dims = array.dim_sizes().base_ptr(ctx, generator);
+    let array_dims = array.shape().base_ptr(ctx, generator);
     let array_ndims = array.load_ndims(ctx);
     let broadcast_idx_ptr = unsafe {
         broadcast_idx.ptr_offset_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
diff --git a/nac3core/src/codegen/numpy.rs b/nac3core/src/codegen/numpy.rs
index 5db4ac26..58869f2c 100644
--- a/nac3core/src/codegen/numpy.rs
+++ b/nac3core/src/codegen/numpy.rs
@@ -128,7 +128,7 @@ where
     ndarray.store_ndims(ctx, generator, num_dims);
 
     let ndarray_num_dims = ndarray.load_ndims(ctx);
-    ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
+    ndarray.create_shape(ctx, llvm_usize, ndarray_num_dims);
 
     // Copy the dimension sizes from shape to ndarray.dims
     let shape_len = shape_len_fn(generator, ctx, shape)?;
@@ -144,7 +144,7 @@ where
             let shape_dim = ctx.builder.build_int_z_extend(shape_dim, llvm_usize, "").unwrap();
 
             let ndarray_pdim =
-                unsafe { ndarray.dim_sizes().ptr_offset_unchecked(ctx, generator, &i, None) };
+                unsafe { ndarray.shape().ptr_offset_unchecked(ctx, generator, &i, None) };
 
             ctx.builder.build_store(ndarray_pdim, shape_dim).unwrap();
 
@@ -195,12 +195,12 @@ pub fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
     ndarray.store_ndims(ctx, generator, num_dims);
 
     let ndarray_num_dims = ndarray.load_ndims(ctx);
-    ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
+    ndarray.create_shape(ctx, llvm_usize, ndarray_num_dims);
 
     for (i, &shape_dim) in shape.iter().enumerate() {
         let shape_dim = ctx.builder.build_int_z_extend(shape_dim, llvm_usize, "").unwrap();
         let ndarray_dim = unsafe {
-            ndarray.dim_sizes().ptr_offset_unchecked(
+            ndarray.shape().ptr_offset_unchecked(
                 ctx,
                 generator,
                 &llvm_usize.const_int(i as u64, true),
@@ -229,7 +229,7 @@ fn ndarray_init_data<'ctx, G: CodeGenerator + ?Sized>(
     let ndarray_num_elems = call_ndarray_calc_size(
         generator,
         ctx,
-        &ndarray.dim_sizes().as_slice_value(ctx, generator),
+        &ndarray.shape().as_slice_value(ctx, generator),
         (None, None),
     );
     ndarray.create_data(ctx, llvm_ndarray_data_t, ndarray_num_elems);
@@ -380,7 +380,7 @@ where
     let ndarray_num_elems = call_ndarray_calc_size(
         generator,
         ctx,
-        &ndarray.dim_sizes().as_slice_value(ctx, generator),
+        &ndarray.shape().as_slice_value(ctx, generator),
         (None, None),
     );
 
@@ -739,7 +739,7 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
             let stride = call_ndarray_calc_size(
                 generator,
                 ctx,
-                &dst_arr.dim_sizes(),
+                &dst_arr.shape(),
                 (Some(llvm_usize.const_int(dim + 1, false)), None),
             );
 
@@ -1155,7 +1155,7 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
         let stride = call_ndarray_calc_size(
             generator,
             ctx,
-            &src_arr.dim_sizes(),
+            &src_arr.shape(),
             (Some(llvm_usize.const_int(dim, false)), None),
         );
         let stride =
@@ -1173,13 +1173,13 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
     let src_stride = call_ndarray_calc_size(
         generator,
         ctx,
-        &src_arr.dim_sizes(),
+        &src_arr.shape(),
         (Some(llvm_usize.const_int(dim + 1, false)), None),
     );
     let dst_stride = call_ndarray_calc_size(
         generator,
         ctx,
-        &dst_arr.dim_sizes(),
+        &dst_arr.shape(),
         (Some(llvm_usize.const_int(dim + 1, false)), None),
     );
 
@@ -1278,7 +1278,7 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
             &this,
             |_, ctx, shape| Ok(shape.load_ndims(ctx)),
             |generator, ctx, shape, idx| unsafe {
-                Ok(shape.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None))
+                Ok(shape.shape().get_typed_unchecked(ctx, generator, &idx, None))
             },
         )?
     } else {
@@ -1286,7 +1286,7 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
         ndarray.store_ndims(ctx, generator, this.load_ndims(ctx));
 
         let ndims = this.load_ndims(ctx);
-        ndarray.create_dim_sizes(ctx, llvm_usize, ndims);
+        ndarray.create_shape(ctx, llvm_usize, ndims);
 
         // Populate the first slices.len() dimensions by computing the size of each dim slice
         for (i, (start, stop, step)) in slices.iter().enumerate() {
@@ -1318,7 +1318,7 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
                 ctx.builder.build_int_z_extend_or_bit_cast(slice_len, llvm_usize, "").unwrap();
 
             unsafe {
-                ndarray.dim_sizes().set_typed_unchecked(
+                ndarray.shape().set_typed_unchecked(
                     ctx,
                     generator,
                     &llvm_usize.const_int(i as u64, false),
@@ -1336,8 +1336,8 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
             (this.load_ndims(ctx), false),
             |generator, ctx, _, idx| {
                 unsafe {
-                    let dim_sz = this.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None);
-                    ndarray.dim_sizes().set_typed_unchecked(ctx, generator, &idx, dim_sz);
+                    let dim_sz = this.shape().get_typed_unchecked(ctx, generator, &idx, None);
+                    ndarray.shape().set_typed_unchecked(ctx, generator, &idx, dim_sz);
                 }
 
                 Ok(())
@@ -1397,7 +1397,7 @@ where
             &operand,
             |_, ctx, v| Ok(v.load_ndims(ctx)),
             |generator, ctx, v, idx| unsafe {
-                Ok(v.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None))
+                Ok(v.shape().get_typed_unchecked(ctx, generator, &idx, None))
             },
         )
         .unwrap()
@@ -1510,7 +1510,7 @@ where
                 &ndarray,
                 |_, ctx, v| Ok(v.load_ndims(ctx)),
                 |generator, ctx, v, idx| unsafe {
-                    Ok(v.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None))
+                    Ok(v.shape().get_typed_unchecked(ctx, generator, &idx, None))
                 },
             )
             .unwrap()
@@ -1571,10 +1571,10 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
         if let Some(res) = res {
             let res_ndims = res.load_ndims(ctx);
             let res_dim0 = unsafe {
-                res.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                res.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
             };
             let res_dim1 = unsafe {
-                res.dim_sizes().get_typed_unchecked(
+                res.shape().get_typed_unchecked(
                     ctx,
                     generator,
                     &llvm_usize.const_int(1, false),
@@ -1582,10 +1582,10 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
                 )
             };
             let lhs_dim0 = unsafe {
-                lhs.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                lhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
             };
             let rhs_dim1 = unsafe {
-                rhs.dim_sizes().get_typed_unchecked(
+                rhs.shape().get_typed_unchecked(
                     ctx,
                     generator,
                     &llvm_usize.const_int(1, false),
@@ -1634,15 +1634,10 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
 
     if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
         let lhs_dim1 = unsafe {
-            lhs.dim_sizes().get_typed_unchecked(
-                ctx,
-                generator,
-                &llvm_usize.const_int(1, false),
-                None,
-            )
+            lhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
         };
         let rhs_dim0 = unsafe {
-            rhs.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+            rhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
         };
 
         // lhs.dims[1] == rhs.dims[0]
@@ -1681,7 +1676,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
                     },
                     |generator, ctx| {
                         Ok(Some(unsafe {
-                            lhs.dim_sizes().get_typed_unchecked(
+                            lhs.shape().get_typed_unchecked(
                                 ctx,
                                 generator,
                                 &llvm_usize.const_zero(),
@@ -1691,7 +1686,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
                     },
                     |generator, ctx| {
                         Ok(Some(unsafe {
-                            rhs.dim_sizes().get_typed_unchecked(
+                            rhs.shape().get_typed_unchecked(
                                 ctx,
                                 generator,
                                 &llvm_usize.const_int(1, false),
@@ -1718,7 +1713,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
 
         let common_dim = {
             let lhs_idx1 = unsafe {
-                lhs.dim_sizes().get_typed_unchecked(
+                lhs.shape().get_typed_unchecked(
                     ctx,
                     generator,
                     &llvm_usize.const_int(1, false),
@@ -1726,7 +1721,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
                 )
             };
             let rhs_idx0 = unsafe {
-                rhs.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                rhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
             };
 
             let idx = llvm_intrinsics::call_expect(ctx, rhs_idx0, lhs_idx1, None);
@@ -2146,7 +2141,7 @@ pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
         let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
         let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
         let n1 = NDArrayValue::from_pointer_value(n1, llvm_elem_ty, llvm_usize, None);
-        let n_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
+        let n_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
 
         // Dimensions are reversed in the transposed array
         let out = create_ndarray_dyn_shape(
@@ -2161,7 +2156,7 @@ pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
                     .builder
                     .build_int_sub(new_idx, new_idx.get_type().const_int(1, false), "")
                     .unwrap();
-                unsafe { Ok(n.dim_sizes().get_typed_unchecked(ctx, generator, &new_idx, None)) }
+                unsafe { Ok(n.shape().get_typed_unchecked(ctx, generator, &new_idx, None)) }
             },
         )
         .unwrap();
@@ -2198,7 +2193,7 @@ pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
                             .build_int_sub(ndim_rev, llvm_usize.const_int(1, false), "")
                             .unwrap();
                         let dim = unsafe {
-                            n1.dim_sizes().get_typed_unchecked(ctx, generator, &ndim_rev, None)
+                            n1.shape().get_typed_unchecked(ctx, generator, &ndim_rev, None)
                         };
 
                         let rem_idx_val =
@@ -2266,7 +2261,7 @@ pub fn ndarray_reshape<'ctx, G: CodeGenerator + ?Sized>(
         let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
         let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
         let n1 = NDArrayValue::from_pointer_value(n1, llvm_elem_ty, llvm_usize, None);
-        let n_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
+        let n_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
 
         let acc = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
         let num_neg = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
@@ -2494,7 +2489,7 @@ pub fn ndarray_reshape<'ctx, G: CodeGenerator + ?Sized>(
         );
 
         // The new shape must be compatible with the old shape
-        let out_sz = call_ndarray_calc_size(generator, ctx, &out.dim_sizes(), (None, None));
+        let out_sz = call_ndarray_calc_size(generator, ctx, &out.shape(), (None, None));
         ctx.make_assert(
             generator,
             ctx.builder.build_int_compare(IntPredicate::EQ, out_sz, n_sz, "").unwrap(),
@@ -2556,8 +2551,8 @@ pub fn ndarray_dot<'ctx, G: CodeGenerator + ?Sized>(
             let n1 = NDArrayValue::from_pointer_value(n1, llvm_n1_data_ty, llvm_usize, None);
             let n2 = NDArrayValue::from_pointer_value(n2, llvm_n2_data_ty, llvm_usize, None);
 
-            let n1_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
-            let n2_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
+            let n1_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
+            let n2_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
 
             ctx.make_assert(
                 generator,
diff --git a/nac3core/src/codegen/types/ndarray.rs b/nac3core/src/codegen/types/ndarray.rs
index d6887322..d149b910 100644
--- a/nac3core/src/codegen/types/ndarray.rs
+++ b/nac3core/src/codegen/types/ndarray.rs
@@ -1,11 +1,17 @@
 use inkwell::{
     context::Context,
     types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
-    values::IntValue,
+    values::{IntValue, PointerValue},
     AddressSpace,
 };
+use itertools::Itertools;
 
-use super::ProxyType;
+use nac3core_derive::StructFields;
+
+use super::{
+    structure::{StructField, StructFields},
+    ProxyType,
+};
 use crate::codegen::{
     values::{ArraySliceValue, NDArrayValue, ProxyValue},
     {CodeGenContext, CodeGenerator},
@@ -19,6 +25,16 @@ pub struct NDArrayType<'ctx> {
     llvm_usize: IntType<'ctx>,
 }
 
+#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
+pub struct NDArrayStructFields<'ctx> {
+    #[value_type(usize)]
+    pub ndims: StructField<'ctx, IntValue<'ctx>>,
+    #[value_type(usize.ptr_type(AddressSpace::default()))]
+    pub shape: StructField<'ctx, PointerValue<'ctx>>,
+    #[value_type(i8_type().ptr_type(AddressSpace::default()))]
+    pub data: StructField<'ctx, PointerValue<'ctx>>,
+}
+
 impl<'ctx> NDArrayType<'ctx> {
     /// Checks whether `llvm_ty` represents a `ndarray` type, returning [Err] if it does not.
     pub fn is_representable(
@@ -86,19 +102,34 @@ impl<'ctx> NDArrayType<'ctx> {
         Ok(())
     }
 
+    // TODO: Move this into e.g. StructProxyType
+    #[must_use]
+    fn fields(ctx: &'ctx Context, llvm_usize: IntType<'ctx>) -> NDArrayStructFields<'ctx> {
+        NDArrayStructFields::new(ctx, llvm_usize)
+    }
+
+    // TODO: Move this into e.g. StructProxyType
+    #[must_use]
+    pub fn get_fields(
+        &self,
+        ctx: &'ctx Context,
+        llvm_usize: IntType<'ctx>,
+    ) -> NDArrayStructFields<'ctx> {
+        Self::fields(ctx, llvm_usize)
+    }
+
     /// Creates an LLVM type corresponding to the expected structure of an `NDArray`.
     #[must_use]
     fn llvm_type(ctx: &'ctx Context, llvm_usize: IntType<'ctx>) -> PointerType<'ctx> {
         // struct NDArray { num_dims: size_t, dims: size_t*, data: i8* }
         //
-        // * num_dims: Number of dimensions in the array
-        // * dims: Pointer to an array containing the size of each dimension
-        // * data: Pointer to an array containing the array data
-        let field_tys = [
-            llvm_usize.into(),
-            llvm_usize.ptr_type(AddressSpace::default()).into(),
-            ctx.i8_type().ptr_type(AddressSpace::default()).into(),
-        ];
+        // * data    : Pointer to an array containing the array data
+        // * itemsize: The size of each NDArray elements in bytes
+        // * ndims   : Number of dimensions in the array
+        // * shape   : Pointer to an array containing the shape of the NDArray
+        // * strides : Pointer to an array indicating the number of bytes between each element at a dimension
+        let field_tys =
+            Self::fields(ctx, llvm_usize).into_iter().map(|field| field.1).collect_vec();
 
         ctx.struct_type(&field_tys, false).ptr_type(AddressSpace::default())
     }
diff --git a/nac3core/src/codegen/values/ndarray.rs b/nac3core/src/codegen/values/ndarray.rs
index 42c42f02..38c6a980 100644
--- a/nac3core/src/codegen/values/ndarray.rs
+++ b/nac3core/src/codegen/values/ndarray.rs
@@ -50,18 +50,10 @@ impl<'ctx> NDArrayValue<'ctx> {
 
     /// Returns the pointer to the field storing the number of dimensions of this `NDArray`.
     fn ptr_to_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
-        let llvm_i32 = ctx.ctx.i32_type();
-        let var_name = self.name.map(|v| format!("{v}.ndims.addr")).unwrap_or_default();
-
-        unsafe {
-            ctx.builder
-                .build_in_bounds_gep(
-                    self.as_base_value(),
-                    &[llvm_i32.const_zero(), llvm_i32.const_zero()],
-                    var_name.as_str(),
-                )
-                .unwrap()
-        }
+        self.get_type()
+            .get_fields(ctx.ctx, self.llvm_usize)
+            .ndims
+            .ptr_by_gep(ctx, self.value, self.name)
     }
 
     /// Stores the number of dimensions `ndims` into this instance.
@@ -83,59 +75,43 @@ impl<'ctx> NDArrayValue<'ctx> {
         ctx.builder.build_load(pndims, "").map(BasicValueEnum::into_int_value).unwrap()
     }
 
-    /// Returns the double-indirection pointer to the `dims` array, as if by calling `getelementptr`
-    /// on the field.
-    fn ptr_to_dims(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
-        let llvm_i32 = ctx.ctx.i32_type();
-        let var_name = self.name.map(|v| format!("{v}.dims.addr")).unwrap_or_default();
-
-        unsafe {
-            ctx.builder
-                .build_in_bounds_gep(
-                    self.as_base_value(),
-                    &[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
-                    var_name.as_str(),
-                )
-                .unwrap()
-        }
+    /// Returns the double-indirection pointer to the `shape` array, as if by calling
+    /// `getelementptr` on the field.
+    fn ptr_to_shape(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
+        self.get_type()
+            .get_fields(ctx.ctx, self.llvm_usize)
+            .shape
+            .ptr_by_gep(ctx, self.value, self.name)
     }
 
     /// Stores the array of dimension sizes `dims` into this instance.
-    fn store_dim_sizes(&self, ctx: &CodeGenContext<'ctx, '_>, dims: PointerValue<'ctx>) {
-        ctx.builder.build_store(self.ptr_to_dims(ctx), dims).unwrap();
+    fn store_shape(&self, ctx: &CodeGenContext<'ctx, '_>, dims: PointerValue<'ctx>) {
+        ctx.builder.build_store(self.ptr_to_shape(ctx), dims).unwrap();
     }
 
     /// Convenience method for creating a new array storing dimension sizes with the given `size`.
-    pub fn create_dim_sizes(
+    pub fn create_shape(
         &self,
         ctx: &CodeGenContext<'ctx, '_>,
         llvm_usize: IntType<'ctx>,
         size: IntValue<'ctx>,
     ) {
-        self.store_dim_sizes(ctx, ctx.builder.build_array_alloca(llvm_usize, size, "").unwrap());
+        self.store_shape(ctx, ctx.builder.build_array_alloca(llvm_usize, size, "").unwrap());
     }
 
     /// Returns a proxy object to the field storing the size of each dimension of this `NDArray`.
     #[must_use]
-    pub fn dim_sizes(&self) -> NDArrayDimsProxy<'ctx, '_> {
-        NDArrayDimsProxy(self)
+    pub fn shape(&self) -> NDArrayShapeProxy<'ctx, '_> {
+        NDArrayShapeProxy(self)
     }
 
     /// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
     /// on the field.
     pub fn ptr_to_data(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
-        let llvm_i32 = ctx.ctx.i32_type();
-        let var_name = self.name.map(|v| format!("{v}.data.addr")).unwrap_or_default();
-
-        unsafe {
-            ctx.builder
-                .build_in_bounds_gep(
-                    self.as_base_value(),
-                    &[llvm_i32.const_zero(), llvm_i32.const_int(2, true)],
-                    var_name.as_str(),
-                )
-                .unwrap()
-        }
+        self.get_type()
+            .get_fields(ctx.ctx, self.llvm_usize)
+            .data
+            .ptr_by_gep(ctx, self.value, self.name)
     }
 
     /// Stores the array of data elements `data` into this instance.
@@ -194,15 +170,15 @@ impl<'ctx> From<NDArrayValue<'ctx>> for PointerValue<'ctx> {
 
 /// Proxy type for accessing the `dims` array of an `NDArray` instance in LLVM.
 #[derive(Copy, Clone)]
-pub struct NDArrayDimsProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
+pub struct NDArrayShapeProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
 
-impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDimsProxy<'ctx, '_> {
+impl<'ctx> ArrayLikeValue<'ctx> for NDArrayShapeProxy<'ctx, '_> {
     fn element_type<G: CodeGenerator + ?Sized>(
         &self,
         ctx: &CodeGenContext<'ctx, '_>,
         generator: &G,
     ) -> AnyTypeEnum<'ctx> {
-        self.0.dim_sizes().base_ptr(ctx, generator).get_type().get_element_type()
+        self.0.shape().base_ptr(ctx, generator).get_type().get_element_type()
     }
 
     fn base_ptr<G: CodeGenerator + ?Sized>(
@@ -213,7 +189,7 @@ impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDimsProxy<'ctx, '_> {
         let var_name = self.0.name.map(|v| format!("{v}.data")).unwrap_or_default();
 
         ctx.builder
-            .build_load(self.0.ptr_to_dims(ctx), var_name.as_str())
+            .build_load(self.0.ptr_to_shape(ctx), var_name.as_str())
             .map(BasicValueEnum::into_pointer_value)
             .unwrap()
     }
@@ -227,7 +203,7 @@ impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDimsProxy<'ctx, '_> {
     }
 }
 
-impl<'ctx> ArrayLikeIndexer<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {
+impl<'ctx> ArrayLikeIndexer<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
     unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
         &self,
         ctx: &mut CodeGenContext<'ctx, '_>,
@@ -266,10 +242,10 @@ impl<'ctx> ArrayLikeIndexer<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_>
     }
 }
 
-impl<'ctx> UntypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {}
-impl<'ctx> UntypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {}
+impl<'ctx> UntypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {}
+impl<'ctx> UntypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {}
 
-impl<'ctx> TypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {
+impl<'ctx> TypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
     fn downcast_to_type(
         &self,
         _: &mut CodeGenContext<'ctx, '_>,
@@ -279,7 +255,7 @@ impl<'ctx> TypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ct
     }
 }
 
-impl<'ctx> TypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {
+impl<'ctx> TypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
     fn upcast_from_type(
         &self,
         _: &mut CodeGenContext<'ctx, '_>,
@@ -497,7 +473,7 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
                 let (dim_idx, dim_sz) = unsafe {
                     (
                         indices.get_unchecked(ctx, generator, &i, None).into_int_value(),
-                        self.0.dim_sizes().get_typed_unchecked(ctx, generator, &i, None),
+                        self.0.shape().get_typed_unchecked(ctx, generator, &i, None),
                     )
                 };
                 let dim_idx = ctx