core: Fix index-based operations not returning i32

nac3core/src/codegen/classes.rs

@@ -1326,6 +1326,9 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
                         self.0.dim_sizes().get_typed_unchecked(ctx, generator, i, None),
                     )
                 };
+                let dim_idx = ctx.builder
+                    .build_int_z_extend_or_bit_cast(dim_idx, dim_sz.get_type(), "")
+                    .unwrap();
 
                 let dim_lt = ctx.builder.build_int_compare(
                     IntPredicate::SLT,

nac3core/src/codegen/irrt/irrt.c

@@ -243,13 +243,13 @@ void __nac3_ndarray_calc_nd_indices64(
     uint64_t index,
     const uint64_t* dims,
     uint64_t num_dims,
-    uint64_t* idxs
+    uint32_t* idxs
 ) {
     uint64_t stride = 1;
     for (uint64_t dim = 0; dim < num_dims; dim++) {
         uint64_t i = num_dims - dim - 1;
         __builtin_assume(dims[i] > 0);
-        idxs[i] = (index / stride) % dims[i];
+        idxs[i] = (uint32_t) ((index / stride) % dims[i]);
         stride *= dims[i];
     }
 }

nac3core/src/codegen/irrt/mod.rs

@@ -619,7 +619,8 @@ pub fn call_ndarray_calc_size<'ctx, G, Dims>(
         .unwrap()
 }
 
-/// Generates a call to `__nac3_ndarray_calc_nd_indices`.
+/// Generates a call to `__nac3_ndarray_calc_nd_indices`. Returns a [`TypeArrayLikeAdpater`]
+/// containing `i32` indices of the flattened index.
 ///
 /// * `index` - The index to compute the multidimensional index for.
 /// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
@@ -631,8 +632,9 @@ pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
     ndarray: NDArrayValue<'ctx>,
 ) -> PointerValue<'ctx> {
     let llvm_void = ctx.ctx.void_type();
+    let llvm_i32 = ctx.ctx.i32_type();
     let llvm_usize = generator.get_size_type(ctx.ctx);
-
+    let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
     let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
 
     let ndarray_calc_nd_indices_fn_name = match llvm_usize.get_bit_width() {
@@ -646,7 +648,7 @@ pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
                 llvm_usize.into(),
                 llvm_pusize.into(),
                 llvm_usize.into(),
-                llvm_pusize.into(),
+                llvm_pi32.into(),
             ],
             false,
         );
@@ -658,7 +660,7 @@ pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
     let ndarray_dims = ndarray.dim_sizes();
 
     let indices = ctx.builder.build_array_alloca(
-        llvm_usize,
+        llvm_i32,
         ndarray_num_dims,
         "",
     ).unwrap();

nac3core/src/codegen/numpy.rs

@@ -470,6 +470,7 @@ fn call_ndarray_eye_impl<'ctx, G: CodeGenerator + ?Sized>(
     ncols: IntValue<'ctx>,
     offset: IntValue<'ctx>,
 ) -> Result<NDArrayValue<'ctx>, String> {
+    let llvm_i32 = ctx.ctx.i32_type();
     let llvm_usize = generator.get_size_type(ctx.ctx);
     let llvm_usize_2 = llvm_usize.array_type(2);
 
@@ -512,7 +513,7 @@ fn call_ndarray_eye_impl<'ctx, G: CodeGenerator + ?Sized>(
             let col_with_offset = ctx.builder
                 .build_int_add(
                     col,
-                    ctx.builder.build_int_s_extend_or_bit_cast(offset, llvm_usize, "").unwrap(),
+                    ctx.builder.build_int_s_extend_or_bit_cast(offset, llvm_i32, "").unwrap(),
                     "",
                 )
                 .unwrap();