[standalone] Update globals.py with type-inferred global var

Required for when globals are read without the use of a global
declaration.

nac3core/irrt/irrt.cpp

@@ -4,6 +4,3 @@
 #include "irrt/math.hpp"
 #include "irrt/ndarray.hpp"
 #include "irrt/slice.hpp"
-#include "irrt/ndarray/basic.hpp"
-#include "irrt/ndarray/def.hpp"
-#include "irrt/ndarray/iter.hpp"

nac3core/irrt/irrt/exception.hpp

@@ -55,14 +55,11 @@ void _raise_exception_helper(ExceptionId id,
                              int64_t param2) {
     Exception<SizeT> e = {
         .id = id,
-        .filename = {.base = reinterpret_cast<uint8_t*>(const_cast<char*>(filename)),
-                     .len = static_cast<int32_t>(__builtin_strlen(filename))},
+        .filename = {.base = reinterpret_cast<const uint8_t*>(filename), .len = __builtin_strlen(filename)},
         .line = line,
         .column = 0,
-        .function = {.base = reinterpret_cast<uint8_t*>(const_cast<char*>(function)),
-                     .len = static_cast<int32_t>(__builtin_strlen(function))},
-        .msg = {.base = reinterpret_cast<uint8_t*>(const_cast<char*>(msg)),
-                .len = static_cast<int32_t>(__builtin_strlen(msg))},
+        .function = {.base = reinterpret_cast<const uint8_t*>(function), .len = __builtin_strlen(function)},
+        .msg = {.base = reinterpret_cast<const uint8_t*>(msg), .len = __builtin_strlen(msg)},
     };
     e.params[0] = param0;
     e.params[1] = param1;

nac3core/irrt/irrt/ndarray.hpp

@@ -2,8 +2,6 @@
 
 #include "irrt/int_types.hpp"
 
-// TODO: To be deleted since NDArray with strides is done.
-
 namespace {
 template<typename SizeT>
 SizeT __nac3_ndarray_calc_size_impl(const SizeT* list_data, SizeT list_len, SizeT begin_idx, SizeT end_idx) {

nac3core/irrt/irrt/ndarray/basic.hpp

@@ -1,341 +0,0 @@
-#pragma once
-
-#include "irrt/debug.hpp"
-#include "irrt/exception.hpp"
-#include "irrt/int_types.hpp"
-#include "irrt/ndarray/def.hpp"
-
-namespace {
-namespace ndarray {
-namespace basic {
-/**
- * @brief Assert that `shape` does not contain negative dimensions.
- *
- * @param ndims Number of dimensions in `shape`
- * @param shape The shape to check on
- */
-template<typename SizeT>
-void assert_shape_no_negative(SizeT ndims, const SizeT* shape) {
-    for (SizeT axis = 0; axis < ndims; axis++) {
-        if (shape[axis] < 0) {
-            raise_exception(SizeT, EXN_VALUE_ERROR,
-                            "negative dimensions are not allowed; axis {0} "
-                            "has dimension {1}",
-                            axis, shape[axis], NO_PARAM);
-        }
-    }
-}
-
-/**
- * @brief Assert that two shapes are the same in the context of writing output to an ndarray.
- */
-template<typename SizeT>
-void assert_output_shape_same(SizeT ndarray_ndims,
-                              const SizeT* ndarray_shape,
-                              SizeT output_ndims,
-                              const SizeT* output_shape) {
-    if (ndarray_ndims != output_ndims) {
-        // There is no corresponding NumPy error message like this.
-        raise_exception(SizeT, EXN_VALUE_ERROR, "Cannot write output of ndims {0} to an ndarray with ndims {1}",
-                        output_ndims, ndarray_ndims, NO_PARAM);
-    }
-
-    for (SizeT axis = 0; axis < ndarray_ndims; axis++) {
-        if (ndarray_shape[axis] != output_shape[axis]) {
-            // There is no corresponding NumPy error message like this.
-            raise_exception(SizeT, EXN_VALUE_ERROR,
-                            "Mismatched dimensions on axis {0}, output has "
-                            "dimension {1}, but destination ndarray has dimension {2}.",
-                            axis, output_shape[axis], ndarray_shape[axis]);
-        }
-    }
-}
-
-/**
- * @brief Return the number of elements of an ndarray given its shape.
- *
- * @param ndims Number of dimensions in `shape`
- * @param shape The shape of the ndarray
- */
-template<typename SizeT>
-SizeT calc_size_from_shape(SizeT ndims, const SizeT* shape) {
-    SizeT size = 1;
-    for (SizeT axis = 0; axis < ndims; axis++)
-        size *= shape[axis];
-    return size;
-}
-
-/**
- * @brief Compute the array indices of the `nth` (0-based) element of an ndarray given only its shape.
- *
- * @param ndims Number of elements in `shape` and `indices`
- * @param shape The shape of the ndarray
- * @param indices The returned indices indexing the ndarray with shape `shape`.
- * @param nth The index of the element of interest.
- */
-template<typename SizeT>
-void set_indices_by_nth(SizeT ndims, const SizeT* shape, SizeT* indices, SizeT nth) {
-    for (SizeT i = 0; i < ndims; i++) {
-        SizeT axis = ndims - i - 1;
-        SizeT dim = shape[axis];
-
-        indices[axis] = nth % dim;
-        nth /= dim;
-    }
-}
-
-/**
- * @brief Return the number of elements of an `ndarray`
- *
- * This function corresponds to `<an_ndarray>.size`
- */
-template<typename SizeT>
-SizeT size(const NDArray<SizeT>* ndarray) {
-    return calc_size_from_shape(ndarray->ndims, ndarray->shape);
-}
-
-/**
- * @brief Return of the number of its content of an `ndarray`.
- *
- * This function corresponds to `<an_ndarray>.nbytes`.
- */
-template<typename SizeT>
-SizeT nbytes(const NDArray<SizeT>* ndarray) {
-    return size(ndarray) * ndarray->itemsize;
-}
-
-/**
- * @brief Get the `len()` of an ndarray, and asserts that `ndarray` is a sized object.
- *
- * This function corresponds to `<an_ndarray>.__len__`.
- *
- * @param dst_length The length.
- */
-template<typename SizeT>
-SizeT len(const NDArray<SizeT>* ndarray) {
-    // numpy prohibits `__len__` on unsized objects
-    if (ndarray->ndims == 0) {
-        raise_exception(SizeT, EXN_TYPE_ERROR, "len() of unsized object", NO_PARAM, NO_PARAM, NO_PARAM);
-    } else {
-        return ndarray->shape[0];
-    }
-}
-
-/**
- * @brief Return a boolean indicating if `ndarray` is (C-)contiguous.
- *
- * You may want to see ndarray's rules for C-contiguity:
- * https://github.com/numpy/numpy/blob/df256d0d2f3bc6833699529824781c58f9c6e697/numpy/core/src/multiarray/flagsobject.c#L95C1-L99C45
- */
-template<typename SizeT>
-bool is_c_contiguous(const NDArray<SizeT>* ndarray) {
-    // References:
-    // - tinynumpy's implementation:
-    // https://github.com/wadetb/tinynumpy/blob/0d23d22e07062ffab2afa287374c7b366eebdda1/tinynumpy/tinynumpy.py#L102
-    // - ndarray's flags["C_CONTIGUOUS"]:
-    // https://numpy.org/doc/stable/reference/generated/numpy.ndarray.flags.html#numpy.ndarray.flags
-    // - ndarray's rules for C-contiguity:
-    // https://github.com/numpy/numpy/blob/df256d0d2f3bc6833699529824781c58f9c6e697/numpy/core/src/multiarray/flagsobject.c#L95C1-L99C45
-
-    // From
-    // https://github.com/numpy/numpy/blob/df256d0d2f3bc6833699529824781c58f9c6e697/numpy/core/src/multiarray/flagsobject.c#L95C1-L99C45:
-    //
-    // The traditional rule is that for an array to be flagged as C contiguous,
-    // the following must hold:
-    //
-    // strides[-1] == itemsize
-    // strides[i] == shape[i+1] * strides[i + 1]
-    // [...]
-    // According to these rules, a 0- or 1-dimensional array is either both
-    // C- and F-contiguous, or neither; and an array with 2+ dimensions
-    // can be C- or F- contiguous, or neither, but not both. Though there
-    // there are exceptions for arrays with zero or one item, in the first
-    // case the check is relaxed up to and including the first dimension
-    // with shape[i] == 0. In the second case `strides == itemsize` will
-    // can be true for all dimensions and both flags are set.
-
-    if (ndarray->ndims == 0) {
-        return true;
-    }
-
-    if (ndarray->strides[ndarray->ndims - 1] != ndarray->itemsize) {
-        return false;
-    }
-
-    for (SizeT i = 1; i < ndarray->ndims; i++) {
-        SizeT axis_i = ndarray->ndims - i - 1;
-        if (ndarray->strides[axis_i] != ndarray->shape[axis_i + 1] * ndarray->strides[axis_i + 1]) {
-            return false;
-        }
-    }
-
-    return true;
-}
-
-/**
- * @brief Return the pointer to the element indexed by `indices` along the ndarray's axes.
- *
- * This function does no bound check.
- */
-template<typename SizeT>
-uint8_t* get_pelement_by_indices(const NDArray<SizeT>* ndarray, const SizeT* indices) {
-    uint8_t* element = ndarray->data;
-    for (SizeT dim_i = 0; dim_i < ndarray->ndims; dim_i++)
-        element += indices[dim_i] * ndarray->strides[dim_i];
-    return element;
-}
-
-/**
- * @brief Return the pointer to the nth (0-based) element of `ndarray` in flattened view.
- *
- * This function does no bound check.
- */
-template<typename SizeT>
-uint8_t* get_nth_pelement(const NDArray<SizeT>* ndarray, SizeT nth) {
-    uint8_t* element = ndarray->data;
-    for (SizeT i = 0; i < ndarray->ndims; i++) {
-        SizeT axis = ndarray->ndims - i - 1;
-        SizeT dim = ndarray->shape[axis];
-        element += ndarray->strides[axis] * (nth % dim);
-        nth /= dim;
-    }
-    return element;
-}
-
-/**
- * @brief Update the strides of an ndarray given an ndarray `shape` to be contiguous.
- *
- * You might want to read https://ajcr.net/stride-guide-part-1/.
- */
-template<typename SizeT>
-void set_strides_by_shape(NDArray<SizeT>* ndarray) {
-    SizeT stride_product = 1;
-    for (SizeT i = 0; i < ndarray->ndims; i++) {
-        SizeT axis = ndarray->ndims - i - 1;
-        ndarray->strides[axis] = stride_product * ndarray->itemsize;
-        stride_product *= ndarray->shape[axis];
-    }
-}
-
-/**
- * @brief Set an element in `ndarray`.
- *
- * @param pelement Pointer to the element in `ndarray` to be set.
- * @param pvalue Pointer to the value `pelement` will be set to.
- */
-template<typename SizeT>
-void set_pelement_value(NDArray<SizeT>* ndarray, uint8_t* pelement, const uint8_t* pvalue) {
-    __builtin_memcpy(pelement, pvalue, ndarray->itemsize);
-}
-
-/**
- * @brief Copy data from one ndarray to another of the exact same size and itemsize.
- *
- * Both ndarrays will be viewed in their flatten views when copying the elements.
- */
-template<typename SizeT>
-void copy_data(const NDArray<SizeT>* src_ndarray, NDArray<SizeT>* dst_ndarray) {
-    // TODO: Make this faster with memcpy when we see a contiguous segment.
-    // TODO: Handle overlapping.
-
-    debug_assert_eq(SizeT, src_ndarray->itemsize, dst_ndarray->itemsize);
-
-    for (SizeT i = 0; i < size(src_ndarray); i++) {
-        auto src_element = ndarray::basic::get_nth_pelement(src_ndarray, i);
-        auto dst_element = ndarray::basic::get_nth_pelement(dst_ndarray, i);
-        ndarray::basic::set_pelement_value(dst_ndarray, dst_element, src_element);
-    }
-}
-}  // namespace basic
-}  // namespace ndarray
-}  // namespace
-
-extern "C" {
-using namespace ndarray::basic;
-
-void __nac3_ndarray_util_assert_shape_no_negative(int32_t ndims, int32_t* shape) {
-    assert_shape_no_negative(ndims, shape);
-}
-
-void __nac3_ndarray_util_assert_shape_no_negative64(int64_t ndims, int64_t* shape) {
-    assert_shape_no_negative(ndims, shape);
-}
-
-void __nac3_ndarray_util_assert_output_shape_same(int32_t ndarray_ndims,
-                                                  const int32_t* ndarray_shape,
-                                                  int32_t output_ndims,
-                                                  const int32_t* output_shape) {
-    assert_output_shape_same(ndarray_ndims, ndarray_shape, output_ndims, output_shape);
-}
-
-void __nac3_ndarray_util_assert_output_shape_same64(int64_t ndarray_ndims,
-                                                    const int64_t* ndarray_shape,
-                                                    int64_t output_ndims,
-                                                    const int64_t* output_shape) {
-    assert_output_shape_same(ndarray_ndims, ndarray_shape, output_ndims, output_shape);
-}
-
-uint32_t __nac3_ndarray_size(NDArray<int32_t>* ndarray) {
-    return size(ndarray);
-}
-
-uint64_t __nac3_ndarray_size64(NDArray<int64_t>* ndarray) {
-    return size(ndarray);
-}
-
-uint32_t __nac3_ndarray_nbytes(NDArray<int32_t>* ndarray) {
-    return nbytes(ndarray);
-}
-
-uint64_t __nac3_ndarray_nbytes64(NDArray<int64_t>* ndarray) {
-    return nbytes(ndarray);
-}
-
-int32_t __nac3_ndarray_len(NDArray<int32_t>* ndarray) {
-    return len(ndarray);
-}
-
-int64_t __nac3_ndarray_len64(NDArray<int64_t>* ndarray) {
-    return len(ndarray);
-}
-
-bool __nac3_ndarray_is_c_contiguous(NDArray<int32_t>* ndarray) {
-    return is_c_contiguous(ndarray);
-}
-
-bool __nac3_ndarray_is_c_contiguous64(NDArray<int64_t>* ndarray) {
-    return is_c_contiguous(ndarray);
-}
-
-uint8_t* __nac3_ndarray_get_nth_pelement(const NDArray<int32_t>* ndarray, int32_t nth) {
-    return get_nth_pelement(ndarray, nth);
-}
-
-uint8_t* __nac3_ndarray_get_nth_pelement64(const NDArray<int64_t>* ndarray, int64_t nth) {
-    return get_nth_pelement(ndarray, nth);
-}
-
-uint8_t* __nac3_ndarray_get_pelement_by_indices(const NDArray<int32_t>* ndarray, int32_t* indices) {
-    return get_pelement_by_indices(ndarray, indices);
-}
-
-uint8_t* __nac3_ndarray_get_pelement_by_indices64(const NDArray<int64_t>* ndarray, int64_t* indices) {
-    return get_pelement_by_indices(ndarray, indices);
-}
-
-void __nac3_ndarray_set_strides_by_shape(NDArray<int32_t>* ndarray) {
-    set_strides_by_shape(ndarray);
-}
-
-void __nac3_ndarray_set_strides_by_shape64(NDArray<int64_t>* ndarray) {
-    set_strides_by_shape(ndarray);
-}
-
-void __nac3_ndarray_copy_data(NDArray<int32_t>* src_ndarray, NDArray<int32_t>* dst_ndarray) {
-    copy_data(src_ndarray, dst_ndarray);
-}
-
-void __nac3_ndarray_copy_data64(NDArray<int64_t>* src_ndarray, NDArray<int64_t>* dst_ndarray) {
-    copy_data(src_ndarray, dst_ndarray);
-}
-}

nac3core/irrt/irrt/ndarray/def.hpp

@@ -1,45 +0,0 @@
-#pragma once
-
-#include "irrt/int_types.hpp"
-
-namespace {
-/**
- * @brief The NDArray object
- *
- * Official numpy implementation:
- * https://github.com/numpy/numpy/blob/735a477f0bc2b5b84d0e72d92f224bde78d4e069/doc/source/reference/c-api/types-and-structures.rst
- */
-template<typename SizeT>
-struct NDArray {
-    /**
-     * @brief The underlying data this `ndarray` is pointing to.
-     */
-    uint8_t* data;
-
-    /**
-     * @brief The number of bytes of a single element in `data`.
-     */
-    SizeT itemsize;
-
-    /**
-     * @brief The number of dimensions of this shape.
-     */
-    SizeT ndims;
-
-    /**
-     * @brief The NDArray shape, with length equal to `ndims`.
-     *
-     * Note that it may contain 0.
-     */
-    SizeT* shape;
-
-    /**
-     * @brief Array strides, with length equal to `ndims`
-     *
-     * The stride values are in units of bytes, not number of elements.
-     *
-     * Note that `strides` can have negative values or contain 0.
-     */
-    SizeT* strides;
-};
-}  // namespace

nac3core/irrt/irrt/ndarray/iter.hpp

@@ -1,146 +0,0 @@
-#pragma once
-
-#include "irrt/int_types.hpp"
-#include "irrt/ndarray/def.hpp"
-
-namespace {
-/**
- * @brief Helper struct to enumerate through an ndarray *efficiently*.
- *
- * Example usage (in pseudo-code):
- * ```
- * // Suppose my_ndarray has been initialized, with shape [2, 3] and dtype `double`
- * NDIter nditer;
- * nditer.initialize(my_ndarray);
- * while (nditer.has_element()) {
- *    // This body is run 6 (= my_ndarray.size) times.
- *
- *    // [0, 0] -> [0, 1] -> [0, 2] -> [1, 0] -> [1, 1] -> [1, 2] -> end
- *    print(nditer.indices);
- *
- *    // 0 -> 1 -> 2 -> 3 -> 4 -> 5
- *    print(nditer.nth);
- *
- *    // <1st element> -> <2nd element> -> ... -> <6th element> -> end
- *    print(*((double *) nditer.element))
- *
- *    nditer.next(); // Go to next element.
- * }
- * ```
- *
- * Interesting cases:
- * - If `my_ndarray.ndims` == 0, there is one iteration.
- * - If `my_ndarray.shape` contains zeroes, there are no iterations.
- */
-template<typename SizeT>
-struct NDIter {
-    // Information about the ndarray being iterated over.
-    SizeT ndims;
-    SizeT* shape;
-    SizeT* strides;
-
-    /**
-     * @brief The current indices.
-     *
-     * Must be allocated by the caller.
-     */
-    SizeT* indices;
-
-    /**
-     * @brief The nth (0-based) index of the current indices.
-     *
-     * Initially this is 0.
-     */
-    SizeT nth;
-
-    /**
-     * @brief Pointer to the current element.
-     *
-     * Initially this points to first element of the ndarray.
-     */
-    uint8_t* element;
-
-    /**
-     * @brief Cache for the product of shape.
-     *
-     * Could be 0 if `shape` has 0s in it.
-     */
-    SizeT size;
-
-    void initialize(SizeT ndims, SizeT* shape, SizeT* strides, uint8_t* element, SizeT* indices) {
-        this->ndims = ndims;
-        this->shape = shape;
-        this->strides = strides;
-
-        this->indices = indices;
-        this->element = element;
-
-        // Compute size
-        this->size = 1;
-        for (SizeT i = 0; i < ndims; i++) {
-            this->size *= shape[i];
-        }
-
-        // `indices` starts on all 0s.
-        for (SizeT axis = 0; axis < ndims; axis++)
-            indices[axis] = 0;
-        nth = 0;
-    }
-
-    void initialize_by_ndarray(NDArray<SizeT>* ndarray, SizeT* indices) {
-        // NOTE: ndarray->data is pointing to the first element, and `NDIter`'s `element` should also point to the first
-        // element as well.
-        this->initialize(ndarray->ndims, ndarray->shape, ndarray->strides, ndarray->data, indices);
-    }
-
-    // Is the current iteration valid?
-    // If true, then `element`, `indices` and `nth` contain details about the current element.
-    bool has_element() { return nth < size; }
-
-    // Go to the next element.
-    void next() {
-        for (SizeT i = 0; i < ndims; i++) {
-            SizeT axis = ndims - i - 1;
-            indices[axis]++;
-            if (indices[axis] >= shape[axis]) {
-                indices[axis] = 0;
-
-                // TODO: There is something called backstrides to speedup iteration.
-                // See https://ajcr.net/stride-guide-part-1/, and
-                // https://docs.scipy.org/doc/numpy-1.13.0/reference/c-api.types-and-structures.html#c.PyArrayIterObject.PyArrayIterObject.backstrides.
-                element -= strides[axis] * (shape[axis] - 1);
-            } else {
-                element += strides[axis];
-                break;
-            }
-        }
-        nth++;
-    }
-};
-}  // namespace
-
-extern "C" {
-void __nac3_nditer_initialize(NDIter<int32_t>* iter, NDArray<int32_t>* ndarray, int32_t* indices) {
-    iter->initialize_by_ndarray(ndarray, indices);
-}
-
-void __nac3_nditer_initialize64(NDIter<int64_t>* iter, NDArray<int64_t>* ndarray, int64_t* indices) {
-    iter->initialize_by_ndarray(ndarray, indices);
-}
-
-bool __nac3_nditer_has_element(NDIter<int32_t>* iter) {
-    return iter->has_element();
-}
-
-bool __nac3_nditer_has_element64(NDIter<int64_t>* iter) {
-    return iter->has_element();
-}
-
-void __nac3_nditer_next(NDIter<int32_t>* iter) {
-    iter->next();
-}
-
-void __nac3_nditer_next64(NDIter<int64_t>* iter) {
-    iter->next();
-}
-}

nac3core/src/codegen/builtin_fns.rs

@@ -5,14 +5,11 @@ use inkwell::{
 };
 use itertools::Itertools;
 
-use super::{
-    model::*,
-    object::{any::AnyObject, list::ListObject, ndarray::NDArrayObject, tuple::TupleObject},
-};
 use crate::{
     codegen::{
         classes::{
-            NDArrayValue, ProxyValue, RangeValue, UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
+            ArrayLikeValue, NDArrayValue, ProxyValue, RangeValue, TypedArrayLikeAccessor,
+            UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
         },
         expr::destructure_range,
         extern_fns, irrt,
@@ -46,33 +43,58 @@ pub fn call_len<'ctx, G: CodeGenerator + ?Sized>(
     ctx: &mut CodeGenContext<'ctx, '_>,
     n: (Type, BasicValueEnum<'ctx>),
 ) -> Result<IntValue<'ctx>, String> {
+    let llvm_i32 = ctx.ctx.i32_type();
+    let range_ty = ctx.primitives.range;
     let (arg_ty, arg) = n;
-    Ok(if ctx.unifier.unioned(arg_ty, ctx.primitives.range) {
+
+    Ok(if ctx.unifier.unioned(arg_ty, range_ty) {
         let arg = RangeValue::from_ptr_val(arg.into_pointer_value(), Some("range"));
         let (start, end, step) = destructure_range(ctx, arg);
         calculate_len_for_slice_range(generator, ctx, start, end, step)
     } else {
-        let arg = AnyObject { ty: arg_ty, value: arg };
-        let len: Instance<'ctx, Int<Int32>> = match &*ctx.unifier.get_ty(arg_ty) {
-            TypeEnum::TTuple { .. } => {
-                let tuple = TupleObject::from_object(ctx, arg);
-                tuple.len(generator, ctx).truncate_or_bit_cast(generator, ctx, Int32)
+        match &*ctx.unifier.get_ty_immutable(arg_ty) {
+            TypeEnum::TTuple { ty, .. } => llvm_i32.const_int(ty.len() as u64, false),
+            TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::List.id() => {
+                let zero = llvm_i32.const_zero();
+                let len = ctx
+                    .build_gep_and_load(
+                        arg.into_pointer_value(),
+                        &[zero, llvm_i32.const_int(1, false)],
+                        None,
+                    )
+                    .into_int_value();
+                ctx.builder.build_int_truncate_or_bit_cast(len, llvm_i32, "len").unwrap()
             }
-            TypeEnum::TObj { obj_id, .. }
-                if *obj_id == ctx.primitives.ndarray.obj_id(&ctx.unifier).unwrap() =>
-            {
-                let ndarray = NDArrayObject::from_object(generator, ctx, arg);
-                ndarray.len(generator, ctx).truncate_or_bit_cast(generator, ctx, Int32)
-            }
-            TypeEnum::TObj { obj_id, .. }
-                if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
-            {
-                let list = ListObject::from_object(generator, ctx, arg);
-                list.len(generator, ctx).truncate_or_bit_cast(generator, ctx, Int32)
-            }
-            _ => unsupported_type(ctx, "len", &[arg_ty]),
+            TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
+                let llvm_usize = generator.get_size_type(ctx.ctx);
+
+                let arg = NDArrayValue::from_ptr_val(arg.into_pointer_value(), llvm_usize, None);
+
+                let ndims = arg.dim_sizes().size(ctx, generator);
+                ctx.make_assert(
+                    generator,
+                    ctx.builder
+                        .build_int_compare(IntPredicate::NE, ndims, llvm_usize.const_zero(), "")
+                        .unwrap(),
+                    "0:TypeError",
+                    "len() of unsized object",
+                    [None, None, None],
+                    ctx.current_loc,
+                );
+
+                let len = unsafe {
+                    arg.dim_sizes().get_typed_unchecked(
+                        ctx,
+                        generator,
+                        &llvm_usize.const_zero(),
+                        None,
+                    )
                 };
-        len.value
+
+                ctx.builder.build_int_truncate_or_bit_cast(len, llvm_i32, "len").unwrap()
+            }
+            _ => codegen_unreachable!(ctx),
+        }
     })
 }
 

nac3core/src/codegen/expr.rs

@@ -2886,7 +2886,31 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
             Some((_, Some(static_value), _)) => ValueEnum::Static(static_value.clone()),
             None => {
                 let resolver = ctx.resolver.clone();
-                resolver.get_symbol_value(*id, ctx, generator).unwrap()
+                let value = resolver.get_symbol_value(*id, ctx, generator).unwrap();
+
+                let globals = ctx
+                    .top_level
+                    .definitions
+                    .read()
+                    .iter()
+                    .filter_map(|def| {
+                        if let TopLevelDef::Variable { simple_name, ty, .. } = &*def.read() {
+                            Some((*simple_name, *ty))
+                        } else {
+                            None
+                        }
+                    })
+                    .collect_vec();
+
+                if let Some((_, ty)) = globals.iter().find(|(name, _)| name == id) {
+                    let ptr = value
+                        .to_basic_value_enum(ctx, generator, *ty)
+                        .map(BasicValueEnum::into_pointer_value)?;
+
+                    ctx.builder.build_load(ptr, id.to_string().as_str()).map(Into::into).unwrap()
+                } else {
+                    value
+                }
             }
         },
         ExprKind::List { elts, .. } => {

nac3core/src/codegen/irrt/mod.rs

@@ -18,13 +18,10 @@ use super::{
     },
     llvm_intrinsics,
     macros::codegen_unreachable,
-    model::*,
-    object::ndarray::{nditer::NDIter, NDArray},
     stmt::gen_for_callback_incrementing,
     CodeGenContext, CodeGenerator,
 };
 use crate::{symbol_resolver::SymbolResolver, typecheck::typedef::Type};
-use function::FnCall;
 
 #[must_use]
 pub fn load_irrt<'ctx>(ctx: &'ctx Context, symbol_resolver: &dyn SymbolResolver) -> Module<'ctx> {
@@ -953,163 +950,3 @@ pub fn call_ndarray_calc_broadcast_index<
         Box::new(|_, v| v.into()),
     )
 }
-
-// When [`TypeContext::size_type`] is 32-bits, the function name is "{fn_name}".
-// When [`TypeContext::size_type`] is 64-bits, the function name is "{fn_name}64".
-#[must_use]
-pub fn get_sizet_dependent_function_name<G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &CodeGenContext<'_, '_>,
-    name: &str,
-) -> String {
-    let mut name = name.to_owned();
-    match generator.get_size_type(ctx.ctx).get_bit_width() {
-        32 => {}
-        64 => name.push_str("64"),
-        bit_width => {
-            panic!("Unsupported int type bit width {bit_width}, must be either 32-bits or 64-bits")
-        }
-    }
-    name
-}
-
-pub fn call_nac3_ndarray_util_assert_shape_no_negative<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    ndims: Instance<'ctx, Int<SizeT>>,
-    shape: Instance<'ctx, Ptr<Int<SizeT>>>,
-) {
-    let name = get_sizet_dependent_function_name(
-        generator,
-        ctx,
-        "__nac3_ndarray_util_assert_shape_no_negative",
-    );
-    FnCall::builder(generator, ctx, &name).arg(ndims).arg(shape).returning_void();
-}
-
-pub fn call_nac3_ndarray_util_assert_output_shape_same<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    ndarray_ndims: Instance<'ctx, Int<SizeT>>,
-    ndarray_shape: Instance<'ctx, Ptr<Int<SizeT>>>,
-    output_ndims: Instance<'ctx, Int<SizeT>>,
-    output_shape: Instance<'ctx, Ptr<Int<SizeT>>>,
-) {
-    let name = get_sizet_dependent_function_name(
-        generator,
-        ctx,
-        "__nac3_ndarray_util_assert_output_shape_same",
-    );
-    FnCall::builder(generator, ctx, &name)
-        .arg(ndarray_ndims)
-        .arg(ndarray_shape)
-        .arg(output_ndims)
-        .arg(output_shape)
-        .returning_void();
-}
-
-pub fn call_nac3_ndarray_size<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
-) -> Instance<'ctx, Int<SizeT>> {
-    let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_size");
-    FnCall::builder(generator, ctx, &name).arg(ndarray).returning_auto("size")
-}
-
-pub fn call_nac3_ndarray_nbytes<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
-) -> Instance<'ctx, Int<SizeT>> {
-    let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_nbytes");
-    FnCall::builder(generator, ctx, &name).arg(ndarray).returning_auto("nbytes")
-}
-
-pub fn call_nac3_ndarray_len<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
-) -> Instance<'ctx, Int<SizeT>> {
-    let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_len");
-    FnCall::builder(generator, ctx, &name).arg(ndarray).returning_auto("len")
-}
-
-pub fn call_nac3_ndarray_is_c_contiguous<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
-) -> Instance<'ctx, Int<Bool>> {
-    let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_is_c_contiguous");
-    FnCall::builder(generator, ctx, &name).arg(ndarray).returning_auto("is_c_contiguous")
-}
-
-pub fn call_nac3_ndarray_get_nth_pelement<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
-    index: Instance<'ctx, Int<SizeT>>,
-) -> Instance<'ctx, Ptr<Int<Byte>>> {
-    let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_get_nth_pelement");
-    FnCall::builder(generator, ctx, &name).arg(ndarray).arg(index).returning_auto("pelement")
-}
-
-pub fn call_nac3_ndarray_get_pelement_by_indices<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
-    indices: Instance<'ctx, Ptr<Int<SizeT>>>,
-) -> Instance<'ctx, Ptr<Int<Byte>>> {
-    let name =
-        get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_get_pelement_by_indices");
-    FnCall::builder(generator, ctx, &name).arg(ndarray).arg(indices).returning_auto("pelement")
-}
-
-pub fn call_nac3_ndarray_set_strides_by_shape<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
-) {
-    let name =
-        get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_set_strides_by_shape");
-    FnCall::builder(generator, ctx, &name).arg(ndarray).returning_void();
-}
-
-pub fn call_nac3_ndarray_copy_data<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    src_ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
-    dst_ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
-) {
-    let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_copy_data");
-    FnCall::builder(generator, ctx, &name).arg(src_ndarray).arg(dst_ndarray).returning_void();
-}
-
-pub fn call_nac3_nditer_initialize<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    iter: Instance<'ctx, Ptr<Struct<NDIter>>>,
-    ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
-    indices: Instance<'ctx, Ptr<Int<SizeT>>>,
-) {
-    let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_nditer_initialize");
-    FnCall::builder(generator, ctx, &name).arg(iter).arg(ndarray).arg(indices).returning_void();
-}
-
-pub fn call_nac3_nditer_has_element<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    iter: Instance<'ctx, Ptr<Struct<NDIter>>>,
-) -> Instance<'ctx, Int<Bool>> {
-    let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_nditer_has_element");
-    FnCall::builder(generator, ctx, &name).arg(iter).returning_auto("has_element")
-}
-
-pub fn call_nac3_nditer_next<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    iter: Instance<'ctx, Ptr<Struct<NDIter>>>,
-) {
-    let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_nditer_next");
-    FnCall::builder(generator, ctx, &name).arg(iter).returning_void();
-}

nac3core/src/codegen/mod.rs

@@ -29,16 +29,14 @@ use parking_lot::{Condvar, Mutex};
 use nac3parser::ast::{Location, Stmt, StrRef};
 
 use crate::{
-    codegen::classes::{ListType, ProxyType, RangeType},
+    codegen::classes::{ListType, NDArrayType, ProxyType, RangeType},
     symbol_resolver::{StaticValue, SymbolResolver},
-    toplevel::{helper::PrimDef, TopLevelContext, TopLevelDef},
+    toplevel::{helper::PrimDef, numpy::unpack_ndarray_var_tys, TopLevelContext, TopLevelDef},
     typecheck::{
         type_inferencer::{CodeLocation, PrimitiveStore},
         typedef::{CallId, FuncArg, Type, TypeEnum, Unifier},
     },
 };
-use model::*;
-use object::ndarray::NDArray;
 
 pub mod builtin_fns;
 pub mod classes;
@@ -48,9 +46,7 @@ pub mod extern_fns;
 mod generator;
 pub mod irrt;
 pub mod llvm_intrinsics;
-pub mod model;
 pub mod numpy;
-pub mod object;
 pub mod stmt;
 
 #[cfg(test)]
@@ -514,7 +510,12 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
                         }
 
                         TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
-                            Ptr(Struct(NDArray)).llvm_type(generator, ctx).as_basic_type_enum()
+                            let (dtype, _) = unpack_ndarray_var_tys(unifier, ty);
+                            let element_type = get_llvm_type(
+                                ctx, module, generator, unifier, top_level, type_cache, dtype,
+                            );
+
+                            NDArrayType::new(generator, ctx, element_type).as_base_type().into()
                         }
 
                         _ => unreachable!(

nac3core/src/codegen/model/any.rs

@@ -1,41 +0,0 @@
-use inkwell::{
-    context::Context,
-    types::{BasicType, BasicTypeEnum},
-    values::BasicValueEnum,
-};
-
-use super::*;
-use crate::codegen::CodeGenerator;
-
-/// A [`Model`] of any [`BasicTypeEnum`].
-///
-/// Use this when it is infeasible to use model abstractions.
-#[derive(Debug, Clone, Copy)]
-pub struct Any<'ctx>(pub BasicTypeEnum<'ctx>);
-
-impl<'ctx> Model<'ctx> for Any<'ctx> {
-    type Value = BasicValueEnum<'ctx>;
-    type Type = BasicTypeEnum<'ctx>;
-
-    fn llvm_type<G: CodeGenerator + ?Sized>(
-        &self,
-        _generator: &G,
-        _ctx: &'ctx Context,
-    ) -> Self::Type {
-        self.0
-    }
-
-    fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        _generator: &mut G,
-        _ctx: &'ctx Context,
-        ty: T,
-    ) -> Result<(), ModelError> {
-        let ty = ty.as_basic_type_enum();
-        if ty == self.0 {
-            Ok(())
-        } else {
-            Err(ModelError(format!("Expecting {}, but got {}", self.0, ty)))
-        }
-    }
-}

nac3core/src/codegen/model/array.rs

@@ -1,146 +0,0 @@
-use std::fmt;
-
-use inkwell::{
-    context::Context,
-    types::{ArrayType, BasicType, BasicTypeEnum},
-    values::{ArrayValue, IntValue},
-};
-
-use super::*;
-use crate::codegen::{CodeGenContext, CodeGenerator};
-
-/// Trait for Rust structs identifying length values for [`Array`].
-pub trait ArrayLen: fmt::Debug + Clone + Copy {
-    fn length(&self) -> u32;
-}
-
-/// A statically known length.
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Len<const N: u32>;
-
-/// A dynamically known length.
-#[derive(Debug, Clone, Copy)]
-pub struct AnyLen(pub u32);
-
-impl<const N: u32> ArrayLen for Len<N> {
-    fn length(&self) -> u32 {
-        N
-    }
-}
-
-impl ArrayLen for AnyLen {
-    fn length(&self) -> u32 {
-        self.0
-    }
-}
-
-/// A Model for an [`ArrayType`].
-///
-/// `Len` should be of a [`LenKind`] and `Item` should be a of [`Model`].
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Array<Len, Item> {
-    /// Length of this array.
-    pub len: Len,
-    /// [`Model`] of the array items.
-    pub item: Item,
-}
-
-impl<'ctx, Len: ArrayLen, Item: Model<'ctx>> Model<'ctx> for Array<Len, Item> {
-    type Value = ArrayValue<'ctx>;
-    type Type = ArrayType<'ctx>;
-
-    fn llvm_type<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &G,
-        ctx: &'ctx Context,
-    ) -> Self::Type {
-        self.item.llvm_type(generator, ctx).array_type(self.len.length())
-    }
-
-    fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        ty: T,
-    ) -> Result<(), ModelError> {
-        let ty = ty.as_basic_type_enum();
-        let BasicTypeEnum::ArrayType(ty) = ty else {
-            return Err(ModelError(format!("Expecting ArrayType, but got {ty:?}")));
-        };
-
-        if ty.len() != self.len.length() {
-            return Err(ModelError(format!(
-                "Expecting ArrayType with size {}, but got an ArrayType with size {}",
-                ty.len(),
-                self.len.length()
-            )));
-        }
-
-        self.item
-            .check_type(generator, ctx, ty.get_element_type())
-            .map_err(|err| err.under_context("an ArrayType"))?;
-
-        Ok(())
-    }
-}
-
-impl<'ctx, Len: ArrayLen, Item: Model<'ctx>> Instance<'ctx, Ptr<Array<Len, Item>>> {
-    /// Get the pointer to the `i`-th (0-based) array element.
-    pub fn gep(
-        &self,
-        ctx: &CodeGenContext<'ctx, '_>,
-        i: IntValue<'ctx>,
-    ) -> Instance<'ctx, Ptr<Item>> {
-        let zero = ctx.ctx.i32_type().const_zero();
-        let ptr = unsafe { ctx.builder.build_in_bounds_gep(self.value, &[zero, i], "").unwrap() };
-
-        unsafe { Ptr(self.model.0.item).believe_value(ptr) }
-    }
-
-    /// Like `gep` but `i` is a constant.
-    pub fn gep_const(&self, ctx: &CodeGenContext<'ctx, '_>, i: u64) -> Instance<'ctx, Ptr<Item>> {
-        assert!(
-            i < u64::from(self.model.0.len.length()),
-            "Index {i} is out of bounds. Array length = {}",
-            self.model.0.len.length()
-        );
-
-        let i = ctx.ctx.i32_type().const_int(i, false);
-        self.gep(ctx, i)
-    }
-
-    /// Convenience function equivalent to `.gep(...).load(...)`.
-    pub fn get<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        i: IntValue<'ctx>,
-    ) -> Instance<'ctx, Item> {
-        self.gep(ctx, i).load(generator, ctx)
-    }
-
-    /// Like `get` but `i` is a constant.
-    pub fn get_const<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        i: u64,
-    ) -> Instance<'ctx, Item> {
-        self.gep_const(ctx, i).load(generator, ctx)
-    }
-
-    /// Convenience function equivalent to `.gep(...).store(...)`.
-    pub fn set(
-        &self,
-        ctx: &CodeGenContext<'ctx, '_>,
-        i: IntValue<'ctx>,
-        value: Instance<'ctx, Item>,
-    ) {
-        self.gep(ctx, i).store(ctx, value);
-    }
-
-    /// Like `set` but `i` is a constant.
-    pub fn set_const(&self, ctx: &CodeGenContext<'ctx, '_>, i: u64, value: Instance<'ctx, Item>) {
-        self.gep_const(ctx, i).store(ctx, value);
-    }
-}

nac3core/src/codegen/model/core.rs

@@ -1,207 +0,0 @@
-use std::fmt;
-
-use inkwell::{context::Context, types::*, values::*};
-use itertools::Itertools;
-
-use super::*;
-use crate::codegen::{CodeGenContext, CodeGenerator};
-
-/// A error type for reporting any [`Model`]-related error (e.g., a [`BasicType`] mismatch).
-#[derive(Debug, Clone)]
-pub struct ModelError(pub String);
-
-impl ModelError {
-    /// Append a context message to the error.
-    pub(super) fn under_context(mut self, context: &str) -> Self {
-        self.0.push_str(" ... in ");
-        self.0.push_str(context);
-        self
-    }
-}
-
-/// Trait for Rust structs identifying [`BasicType`]s in the context of a known [`CodeGenerator`] and [`CodeGenContext`].
-///
-/// For instance,
-/// - [`Int<Int32>`] identifies an [`IntType`] with 32-bits.
-/// - [`Int<SizeT>`] identifies an [`IntType`] with bit-width [`CodeGenerator::get_size_type`].
-/// - [`Ptr<Int<SizeT>>`] identifies a [`PointerType`] that points to an [`IntType`] with bit-width [`CodeGenerator::get_size_type`].
-/// - [`Int<AnyInt>`] identifies an [`IntType`] with bit-width of whatever is set in the [`AnyInt`] object.
-/// - [`Any`] identifies a [`BasicType`] set in the [`Any`] object itself.
-///
-/// You can get the [`BasicType`] out of a model with [`Model::get_type`].
-///
-/// Furthermore, [`Instance<'ctx, M>`] is a simple structure that carries a [`BasicValue`] with [`BasicType`] identified by model `M`.
-///
-/// The main purpose of this abstraction is to have a more Rust type-safe way to use Inkwell and give type-hints for programmers.
-///
-/// ### Notes on `Default` trait
-///
-/// For some models like [`Int<Int32>`] or [`Int<SizeT>`], they have a [`Default`] trait since just by looking at their types, it is possible
-/// to tell the [`BasicType`]s they are identifying.
-///
-/// This can be used to create strongly-typed interfaces accepting only values of a specific [`BasicType`] without having to worry about
-/// writing debug assertions to check, for example, if the programmer has passed in an [`IntValue`] with the wrong bit-width.
-/// ```ignore
-/// fn give_me_i32_and_get_a_size_t_back<'ctx>(i32: Instance<'ctx, Int<Int32>>) -> Instance<'ctx, Int<SizeT>> {
-///     // code...
-/// }
-/// ```
-///
-/// ### Notes on converting between Inkwell and model/ge.
-///
-/// Suppose you have an [`IntValue`], and you want to pass it into a function that takes a [`Instance<'ctx, Int<Int32>>`]. You can do use
-/// [`Model::check_value`] or [`Model::believe_value`].
-/// ```ignore
-/// let my_value: IntValue<'ctx>;
-///
-/// let my_value = Int(Int32).check_value(my_value).unwrap(); // Panics if `my_value` is not 32-bit with a descriptive error message.
-///
-/// // or, if you are absolutely certain that `my_value` is 32-bit and doing extra checks is a waste of time:
-/// let my_value = Int(Int32).believe_value(my_value);
-/// ```
-pub trait Model<'ctx>: fmt::Debug + Clone + Copy {
-    /// The [`BasicType`] *variant* this model is identifying.
-    type Type: BasicType<'ctx>;
-
-    /// The [`BasicValue`] type of the [`BasicType`] of this model.
-    type Value: BasicValue<'ctx> + TryFrom<BasicValueEnum<'ctx>>;
-
-    /// Return the [`BasicType`] of this model.
-    #[must_use]
-    fn llvm_type<G: CodeGenerator + ?Sized>(&self, generator: &G, ctx: &'ctx Context)
-        -> Self::Type;
-
-    /// Get the number of bytes of the [`BasicType`] of this model.
-    fn size_of<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-    ) -> IntValue<'ctx> {
-        self.llvm_type(generator, ctx).size_of().unwrap()
-    }
-
-    /// Check if a [`BasicType`] matches the [`BasicType`] of this model.
-    fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        ty: T,
-    ) -> Result<(), ModelError>;
-
-    /// Create an instance from a value.
-    ///
-    /// # Safety
-    ///
-    /// Caller must make sure the type of `value` and the type of this `model` are equivalent.
-    #[must_use]
-    unsafe fn believe_value(&self, value: Self::Value) -> Instance<'ctx, Self> {
-        Instance { model: *self, value }
-    }
-
-    /// Check if a [`BasicValue`]'s type is equivalent to the type of this model.
-    /// Wrap the [`BasicValue`] into an [`Instance`] if it is.
-    fn check_value<V: BasicValue<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        value: V,
-    ) -> Result<Instance<'ctx, Self>, ModelError> {
-        let value = value.as_basic_value_enum();
-        self.check_type(generator, ctx, value.get_type())
-            .map_err(|err| err.under_context(format!("the value {value:?}").as_str()))?;
-
-        let Ok(value) = Self::Value::try_from(value) else {
-            unreachable!("check_type() has bad implementation")
-        };
-        unsafe { Ok(self.believe_value(value)) }
-    }
-
-    // Allocate a value on the stack and return its pointer.
-    fn alloca<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-    ) -> Instance<'ctx, Ptr<Self>> {
-        let p = ctx.builder.build_alloca(self.llvm_type(generator, ctx.ctx), "").unwrap();
-        unsafe { Ptr(*self).believe_value(p) }
-    }
-
-    // Allocate an array on the stack and return its pointer.
-    fn array_alloca<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        len: IntValue<'ctx>,
-    ) -> Instance<'ctx, Ptr<Self>> {
-        let p =
-            ctx.builder.build_array_alloca(self.llvm_type(generator, ctx.ctx), len, "").unwrap();
-        unsafe { Ptr(*self).believe_value(p) }
-    }
-
-    fn var_alloca<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        name: Option<&str>,
-    ) -> Result<Instance<'ctx, Ptr<Self>>, String> {
-        let ty = self.llvm_type(generator, ctx.ctx).as_basic_type_enum();
-        let p = generator.gen_var_alloc(ctx, ty, name)?;
-        unsafe { Ok(Ptr(*self).believe_value(p)) }
-    }
-
-    fn array_var_alloca<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        len: IntValue<'ctx>,
-        name: Option<&'ctx str>,
-    ) -> Result<Instance<'ctx, Ptr<Self>>, String> {
-        // TODO: Remove ArraySliceValue
-        let ty = self.llvm_type(generator, ctx.ctx).as_basic_type_enum();
-        let p = generator.gen_array_var_alloc(ctx, ty, len, name)?;
-        unsafe { Ok(Ptr(*self).believe_value(PointerValue::from(p))) }
-    }
-
-    /// Allocate a constant array.
-    fn const_array<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        values: &[Instance<'ctx, Self>],
-    ) -> Instance<'ctx, Array<AnyLen, Self>> {
-        macro_rules! make {
-            ($t:expr, $into_value:expr) => {
-                $t.const_array(
-                    &values
-                        .iter()
-                        .map(|x| $into_value(x.value.as_basic_value_enum()))
-                        .collect_vec(),
-                )
-            };
-        }
-
-        let value = match self.llvm_type(generator, ctx).as_basic_type_enum() {
-            BasicTypeEnum::ArrayType(t) => make!(t, BasicValueEnum::into_array_value),
-            BasicTypeEnum::IntType(t) => make!(t, BasicValueEnum::into_int_value),
-            BasicTypeEnum::FloatType(t) => make!(t, BasicValueEnum::into_float_value),
-            BasicTypeEnum::PointerType(t) => make!(t, BasicValueEnum::into_pointer_value),
-            BasicTypeEnum::StructType(t) => make!(t, BasicValueEnum::into_struct_value),
-            BasicTypeEnum::VectorType(t) => make!(t, BasicValueEnum::into_vector_value),
-        };
-
-        Array { len: AnyLen(values.len() as u32), item: *self }
-            .check_value(generator, ctx, value)
-            .unwrap()
-    }
-}
-
-#[derive(Debug, Clone, Copy)]
-pub struct Instance<'ctx, M: Model<'ctx>> {
-    /// The model of this instance.
-    pub model: M,
-
-    /// The value of this instance.
-    ///
-    /// It is guaranteed the [`BasicType`] of `value` is consistent with that of `model`.
-    pub value: M::Value,
-}

nac3core/src/codegen/model/float.rs

@@ -1,93 +0,0 @@
-use std::fmt;
-
-use inkwell::{
-    context::Context,
-    types::{BasicType, FloatType},
-    values::FloatValue,
-};
-
-use super::*;
-use crate::codegen::CodeGenerator;
-
-pub trait FloatKind<'ctx>: fmt::Debug + Clone + Copy {
-    fn get_float_type<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &G,
-        ctx: &'ctx Context,
-    ) -> FloatType<'ctx>;
-}
-
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Float32;
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Float64;
-
-impl<'ctx> FloatKind<'ctx> for Float32 {
-    fn get_float_type<G: CodeGenerator + ?Sized>(
-        &self,
-        _generator: &G,
-        ctx: &'ctx Context,
-    ) -> FloatType<'ctx> {
-        ctx.f32_type()
-    }
-}
-
-impl<'ctx> FloatKind<'ctx> for Float64 {
-    fn get_float_type<G: CodeGenerator + ?Sized>(
-        &self,
-        _generator: &G,
-        ctx: &'ctx Context,
-    ) -> FloatType<'ctx> {
-        ctx.f64_type()
-    }
-}
-
-#[derive(Debug, Clone, Copy)]
-pub struct AnyFloat<'ctx>(FloatType<'ctx>);
-
-impl<'ctx> FloatKind<'ctx> for AnyFloat<'ctx> {
-    fn get_float_type<G: CodeGenerator + ?Sized>(
-        &self,
-        _generator: &G,
-        _ctx: &'ctx Context,
-    ) -> FloatType<'ctx> {
-        self.0
-    }
-}
-
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Float<N>(pub N);
-
-impl<'ctx, N: FloatKind<'ctx>> Model<'ctx> for Float<N> {
-    type Value = FloatValue<'ctx>;
-    type Type = FloatType<'ctx>;
-
-    fn llvm_type<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &G,
-        ctx: &'ctx Context,
-    ) -> Self::Type {
-        self.0.get_float_type(generator, ctx)
-    }
-
-    fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        ty: T,
-    ) -> Result<(), ModelError> {
-        let ty = ty.as_basic_type_enum();
-        let Ok(ty) = FloatType::try_from(ty) else {
-            return Err(ModelError(format!("Expecting FloatType, but got {ty:?}")));
-        };
-
-        let exp_ty = self.0.get_float_type(generator, ctx);
-
-        // TODO: Inkwell does not have get_bit_width for FloatType?
-        if ty != exp_ty {
-            return Err(ModelError(format!("Expecting {exp_ty:?}, but got {ty:?}")));
-        }
-
-        Ok(())
-    }
-}

nac3core/src/codegen/model/function.rs

@@ -1,121 +0,0 @@
-use inkwell::{
-    attributes::{Attribute, AttributeLoc},
-    types::{BasicMetadataTypeEnum, BasicType, FunctionType},
-    values::{AnyValue, BasicMetadataValueEnum, BasicValue, BasicValueEnum, CallSiteValue},
-};
-use itertools::Itertools;
-
-use super::*;
-use crate::codegen::{CodeGenContext, CodeGenerator};
-
-#[derive(Debug, Clone, Copy)]
-struct Arg<'ctx> {
-    ty: BasicMetadataTypeEnum<'ctx>,
-    val: BasicMetadataValueEnum<'ctx>,
-}
-
-/// A convenience structure to construct & call an LLVM function.
-///
-/// ### Usage
-///
-/// The syntax is like this:
-/// ```ignore
-/// let result = CallFunction::begin("my_function_name")
-///   .attrs(...)
-///   .arg(arg1)
-///   .arg(arg2)
-///   .arg(arg3)
-///   .returning("my_function_result", Int32);
-/// ```
-///
-/// The function `my_function_name` is called when `.returning()` (or its variants) is called, returning
-/// the result as an `Instance<'ctx, Int<Int32>>`.
-///
-/// If `my_function_name` has not been declared in `ctx.module`, once `.returning()` is called, a function
-/// declaration of `my_function_name` is added to `ctx.module`, where the [`FunctionType`] is deduced from
-/// the argument types and returning type.
-pub struct FnCall<'ctx, 'a, 'b, 'c, 'd, G: CodeGenerator + ?Sized> {
-    generator: &'d mut G,
-    ctx: &'b CodeGenContext<'ctx, 'a>,
-    /// Function name
-    name: &'c str,
-    /// Call arguments
-    args: Vec<Arg<'ctx>>,
-    /// LLVM function Attributes
-    attrs: Vec<&'static str>,
-}
-
-impl<'ctx, 'a, 'b, 'c, 'd, G: CodeGenerator + ?Sized> FnCall<'ctx, 'a, 'b, 'c, 'd, G> {
-    pub fn builder(generator: &'d mut G, ctx: &'b CodeGenContext<'ctx, 'a>, name: &'c str) -> Self {
-        FnCall { generator, ctx, name, args: Vec::new(), attrs: Vec::new() }
-    }
-
-    /// Push a list of LLVM function attributes to the function declaration.
-    #[must_use]
-    pub fn attrs(mut self, attrs: Vec<&'static str>) -> Self {
-        self.attrs = attrs;
-        self
-    }
-
-    /// Push a call argument to the function call.
-    #[allow(clippy::needless_pass_by_value)]
-    #[must_use]
-    pub fn arg<M: Model<'ctx>>(mut self, arg: Instance<'ctx, M>) -> Self {
-        let arg = Arg {
-            ty: arg.model.llvm_type(self.generator, self.ctx.ctx).as_basic_type_enum().into(),
-            val: arg.value.as_basic_value_enum().into(),
-        };
-        self.args.push(arg);
-        self
-    }
-
-    /// Call the function and expect the function to return a value of type of `return_model`.
-    #[must_use]
-    pub fn returning<M: Model<'ctx>>(self, name: &str, return_model: M) -> Instance<'ctx, M> {
-        let ret_ty = return_model.llvm_type(self.generator, self.ctx.ctx);
-
-        let ret = self.call(|tys| ret_ty.fn_type(tys, false), name);
-        let ret = BasicValueEnum::try_from(ret.as_any_value_enum()).unwrap(); // Must work
-        let ret = return_model.check_value(self.generator, self.ctx.ctx, ret).unwrap(); // Must work
-        ret
-    }
-
-    /// Like [`CallFunction::returning_`] but `return_model` is automatically inferred.
-    #[must_use]
-    pub fn returning_auto<M: Model<'ctx> + Default>(self, name: &str) -> Instance<'ctx, M> {
-        self.returning(name, M::default())
-    }
-
-    /// Call the function and expect the function to return a void-type.
-    pub fn returning_void(self) {
-        let ret_ty = self.ctx.ctx.void_type();
-
-        let _ = self.call(|tys| ret_ty.fn_type(tys, false), "");
-    }
-
-    fn call<F>(&self, make_fn_type: F, return_value_name: &str) -> CallSiteValue<'ctx>
-    where
-        F: FnOnce(&[BasicMetadataTypeEnum<'ctx>]) -> FunctionType<'ctx>,
-    {
-        // Get the LLVM function.
-        let func = self.ctx.module.get_function(self.name).unwrap_or_else(|| {
-            // Declare the function if it doesn't exist.
-            let tys = self.args.iter().map(|arg| arg.ty).collect_vec();
-
-            let func_type = make_fn_type(&tys);
-            let func = self.ctx.module.add_function(self.name, func_type, None);
-
-            for attr in &self.attrs {
-                func.add_attribute(
-                    AttributeLoc::Function,
-                    self.ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
-                );
-            }
-
-            func
-        });
-
-        let vals = self.args.iter().map(|arg| arg.val).collect_vec();
-        self.ctx.builder.build_call(func, &vals, return_value_name).unwrap()
-    }
-}

nac3core/src/codegen/model/int.rs

@@ -1,421 +0,0 @@
-use std::{cmp::Ordering, fmt};
-
-use inkwell::{
-    context::Context,
-    types::{BasicType, IntType},
-    values::IntValue,
-    IntPredicate,
-};
-
-use super::*;
-use crate::codegen::{CodeGenContext, CodeGenerator};
-
-pub trait IntKind<'ctx>: fmt::Debug + Clone + Copy {
-    fn get_int_type<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &G,
-        ctx: &'ctx Context,
-    ) -> IntType<'ctx>;
-}
-
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Bool;
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Byte;
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Int32;
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Int64;
-#[derive(Debug, Clone, Copy, Default)]
-pub struct SizeT;
-
-impl<'ctx> IntKind<'ctx> for Bool {
-    fn get_int_type<G: CodeGenerator + ?Sized>(
-        &self,
-        _generator: &G,
-        ctx: &'ctx Context,
-    ) -> IntType<'ctx> {
-        ctx.bool_type()
-    }
-}
-
-impl<'ctx> IntKind<'ctx> for Byte {
-    fn get_int_type<G: CodeGenerator + ?Sized>(
-        &self,
-        _generator: &G,
-        ctx: &'ctx Context,
-    ) -> IntType<'ctx> {
-        ctx.i8_type()
-    }
-}
-
-impl<'ctx> IntKind<'ctx> for Int32 {
-    fn get_int_type<G: CodeGenerator + ?Sized>(
-        &self,
-        _generator: &G,
-        ctx: &'ctx Context,
-    ) -> IntType<'ctx> {
-        ctx.i32_type()
-    }
-}
-
-impl<'ctx> IntKind<'ctx> for Int64 {
-    fn get_int_type<G: CodeGenerator + ?Sized>(
-        &self,
-        _generator: &G,
-        ctx: &'ctx Context,
-    ) -> IntType<'ctx> {
-        ctx.i64_type()
-    }
-}
-
-impl<'ctx> IntKind<'ctx> for SizeT {
-    fn get_int_type<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &G,
-        ctx: &'ctx Context,
-    ) -> IntType<'ctx> {
-        generator.get_size_type(ctx)
-    }
-}
-
-#[derive(Debug, Clone, Copy)]
-pub struct AnyInt<'ctx>(pub IntType<'ctx>);
-
-impl<'ctx> IntKind<'ctx> for AnyInt<'ctx> {
-    fn get_int_type<G: CodeGenerator + ?Sized>(
-        &self,
-        _generator: &G,
-        _ctx: &'ctx Context,
-    ) -> IntType<'ctx> {
-        self.0
-    }
-}
-
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Int<N>(pub N);
-
-impl<'ctx, N: IntKind<'ctx>> Model<'ctx> for Int<N> {
-    type Value = IntValue<'ctx>;
-    type Type = IntType<'ctx>;
-
-    fn llvm_type<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &G,
-        ctx: &'ctx Context,
-    ) -> Self::Type {
-        self.0.get_int_type(generator, ctx)
-    }
-
-    fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        ty: T,
-    ) -> Result<(), ModelError> {
-        let ty = ty.as_basic_type_enum();
-        let Ok(ty) = IntType::try_from(ty) else {
-            return Err(ModelError(format!("Expecting IntType, but got {ty:?}")));
-        };
-
-        let exp_ty = self.0.get_int_type(generator, ctx);
-        if ty.get_bit_width() != exp_ty.get_bit_width() {
-            return Err(ModelError(format!(
-                "Expecting IntType to have {} bit(s), but got {} bit(s)",
-                exp_ty.get_bit_width(),
-                ty.get_bit_width()
-            )));
-        }
-
-        Ok(())
-    }
-}
-
-impl<'ctx, N: IntKind<'ctx>> Int<N> {
-    pub fn const_int<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        value: u64,
-        sign_extend: bool,
-    ) -> Instance<'ctx, Self> {
-        let value = self.llvm_type(generator, ctx).const_int(value, sign_extend);
-        unsafe { self.believe_value(value) }
-    }
-
-    pub fn const_0<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-    ) -> Instance<'ctx, Self> {
-        let value = self.llvm_type(generator, ctx).const_zero();
-        unsafe { self.believe_value(value) }
-    }
-
-    pub fn const_1<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-    ) -> Instance<'ctx, Self> {
-        self.const_int(generator, ctx, 1, false)
-    }
-
-    pub fn const_all_ones<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-    ) -> Instance<'ctx, Self> {
-        let value = self.llvm_type(generator, ctx).const_all_ones();
-        unsafe { self.believe_value(value) }
-    }
-
-    pub fn s_extend_or_bit_cast<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        value: IntValue<'ctx>,
-    ) -> Instance<'ctx, Self> {
-        assert!(
-            value.get_type().get_bit_width()
-                <= self.0.get_int_type(generator, ctx.ctx).get_bit_width()
-        );
-        let value = ctx
-            .builder
-            .build_int_s_extend_or_bit_cast(value, self.llvm_type(generator, ctx.ctx), "")
-            .unwrap();
-        unsafe { self.believe_value(value) }
-    }
-
-    pub fn s_extend<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        value: IntValue<'ctx>,
-    ) -> Instance<'ctx, Self> {
-        assert!(
-            value.get_type().get_bit_width()
-                < self.0.get_int_type(generator, ctx.ctx).get_bit_width()
-        );
-        let value =
-            ctx.builder.build_int_s_extend(value, self.llvm_type(generator, ctx.ctx), "").unwrap();
-        unsafe { self.believe_value(value) }
-    }
-
-    pub fn z_extend_or_bit_cast<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        value: IntValue<'ctx>,
-    ) -> Instance<'ctx, Self> {
-        assert!(
-            value.get_type().get_bit_width()
-                <= self.0.get_int_type(generator, ctx.ctx).get_bit_width()
-        );
-        let value = ctx
-            .builder
-            .build_int_z_extend_or_bit_cast(value, self.llvm_type(generator, ctx.ctx), "")
-            .unwrap();
-        unsafe { self.believe_value(value) }
-    }
-
-    pub fn z_extend<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        value: IntValue<'ctx>,
-    ) -> Instance<'ctx, Self> {
-        assert!(
-            value.get_type().get_bit_width()
-                < self.0.get_int_type(generator, ctx.ctx).get_bit_width()
-        );
-        let value =
-            ctx.builder.build_int_z_extend(value, self.llvm_type(generator, ctx.ctx), "").unwrap();
-        unsafe { self.believe_value(value) }
-    }
-
-    pub fn truncate_or_bit_cast<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        value: IntValue<'ctx>,
-    ) -> Instance<'ctx, Self> {
-        assert!(
-            value.get_type().get_bit_width()
-                >= self.0.get_int_type(generator, ctx.ctx).get_bit_width()
-        );
-        let value = ctx
-            .builder
-            .build_int_truncate_or_bit_cast(value, self.llvm_type(generator, ctx.ctx), "")
-            .unwrap();
-        unsafe { self.believe_value(value) }
-    }
-
-    pub fn truncate<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        value: IntValue<'ctx>,
-    ) -> Instance<'ctx, Self> {
-        assert!(
-            value.get_type().get_bit_width()
-                > self.0.get_int_type(generator, ctx.ctx).get_bit_width()
-        );
-        let value =
-            ctx.builder.build_int_truncate(value, self.llvm_type(generator, ctx.ctx), "").unwrap();
-        unsafe { self.believe_value(value) }
-    }
-
-    /// `sext` or `trunc` an int to this model's int type. Does nothing if equal bit-widths.
-    pub fn s_extend_or_truncate<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        value: IntValue<'ctx>,
-    ) -> Instance<'ctx, Self> {
-        let their_width = value.get_type().get_bit_width();
-        let our_width = self.0.get_int_type(generator, ctx.ctx).get_bit_width();
-        match their_width.cmp(&our_width) {
-            Ordering::Less => self.s_extend(generator, ctx, value),
-            Ordering::Equal => unsafe { self.believe_value(value) },
-            Ordering::Greater => self.truncate(generator, ctx, value),
-        }
-    }
-
-    /// `zext` or `trunc` an int to this model's int type. Does nothing if equal bit-widths.
-    pub fn z_extend_or_truncate<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        value: IntValue<'ctx>,
-    ) -> Instance<'ctx, Self> {
-        let their_width = value.get_type().get_bit_width();
-        let our_width = self.0.get_int_type(generator, ctx.ctx).get_bit_width();
-        match their_width.cmp(&our_width) {
-            Ordering::Less => self.z_extend(generator, ctx, value),
-            Ordering::Equal => unsafe { self.believe_value(value) },
-            Ordering::Greater => self.truncate(generator, ctx, value),
-        }
-    }
-}
-
-impl Int<Bool> {
-    #[must_use]
-    pub fn const_false<'ctx, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-    ) -> Instance<'ctx, Self> {
-        self.const_int(generator, ctx, 0, false)
-    }
-
-    #[must_use]
-    pub fn const_true<'ctx, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-    ) -> Instance<'ctx, Self> {
-        self.const_int(generator, ctx, 1, false)
-    }
-}
-
-impl<'ctx, N: IntKind<'ctx>> Instance<'ctx, Int<N>> {
-    pub fn s_extend_or_bit_cast<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        to_int_kind: NewN,
-    ) -> Instance<'ctx, Int<NewN>> {
-        Int(to_int_kind).s_extend_or_bit_cast(generator, ctx, self.value)
-    }
-
-    pub fn s_extend<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        to_int_kind: NewN,
-    ) -> Instance<'ctx, Int<NewN>> {
-        Int(to_int_kind).s_extend(generator, ctx, self.value)
-    }
-
-    pub fn z_extend_or_bit_cast<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        to_int_kind: NewN,
-    ) -> Instance<'ctx, Int<NewN>> {
-        Int(to_int_kind).z_extend_or_bit_cast(generator, ctx, self.value)
-    }
-
-    pub fn z_extend<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        to_int_kind: NewN,
-    ) -> Instance<'ctx, Int<NewN>> {
-        Int(to_int_kind).z_extend(generator, ctx, self.value)
-    }
-
-    pub fn truncate_or_bit_cast<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        to_int_kind: NewN,
-    ) -> Instance<'ctx, Int<NewN>> {
-        Int(to_int_kind).truncate_or_bit_cast(generator, ctx, self.value)
-    }
-
-    pub fn truncate<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        to_int_kind: NewN,
-    ) -> Instance<'ctx, Int<NewN>> {
-        Int(to_int_kind).truncate(generator, ctx, self.value)
-    }
-
-    pub fn s_extend_or_truncate<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        to_int_kind: NewN,
-    ) -> Instance<'ctx, Int<NewN>> {
-        Int(to_int_kind).s_extend_or_truncate(generator, ctx, self.value)
-    }
-
-    pub fn z_extend_or_truncate<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        to_int_kind: NewN,
-    ) -> Instance<'ctx, Int<NewN>> {
-        Int(to_int_kind).z_extend_or_truncate(generator, ctx, self.value)
-    }
-
-    #[must_use]
-    pub fn add(&self, ctx: &CodeGenContext<'ctx, '_>, other: Self) -> Self {
-        let value = ctx.builder.build_int_add(self.value, other.value, "").unwrap();
-        unsafe { self.model.believe_value(value) }
-    }
-
-    #[must_use]
-    pub fn sub(&self, ctx: &CodeGenContext<'ctx, '_>, other: Self) -> Self {
-        let value = ctx.builder.build_int_sub(self.value, other.value, "").unwrap();
-        unsafe { self.model.believe_value(value) }
-    }
-
-    #[must_use]
-    pub fn mul(&self, ctx: &CodeGenContext<'ctx, '_>, other: Self) -> Self {
-        let value = ctx.builder.build_int_mul(self.value, other.value, "").unwrap();
-        unsafe { self.model.believe_value(value) }
-    }
-
-    pub fn compare(
-        &self,
-        ctx: &CodeGenContext<'ctx, '_>,
-        op: IntPredicate,
-        other: Self,
-    ) -> Instance<'ctx, Int<Bool>> {
-        let value = ctx.builder.build_int_compare(op, self.value, other.value, "").unwrap();
-        unsafe { Int(Bool).believe_value(value) }
-    }
-}

nac3core/src/codegen/model/mod.rs

@@ -1,17 +0,0 @@
-mod any;
-mod array;
-mod core;
-mod float;
-pub mod function;
-mod int;
-mod ptr;
-mod structure;
-pub mod util;
-
-pub use any::*;
-pub use array::*;
-pub use core::*;
-pub use float::*;
-pub use int::*;
-pub use ptr::*;
-pub use structure::*;

nac3core/src/codegen/model/ptr.rs

@@ -1,213 +0,0 @@
-use inkwell::{
-    context::Context,
-    types::{BasicType, BasicTypeEnum, PointerType},
-    values::{IntValue, PointerValue},
-    AddressSpace,
-};
-
-use super::*;
-use crate::codegen::{llvm_intrinsics::call_memcpy_generic, CodeGenContext, CodeGenerator};
-
-/// A model for [`PointerType`].
-///
-/// `Item` is the element type this pointer is pointing to, and should be of a [`Model`].
-///
-// TODO: LLVM 15: `Item` is a Rust type-hint for the LLVM type of value the `.store()/.load()` family
-// of functions return. If a truly opaque pointer is needed, tell the programmer to use `OpaquePtr`.
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Ptr<Item>(pub Item);
-
-/// An opaque pointer. Like [`Ptr`] but without any Rust type-hints about its element type.
-///
-/// `.load()/.store()` is not available for [`Instance`]s of opaque pointers.
-pub type OpaquePtr = Ptr<()>;
-
-// TODO: LLVM 15: `Item: Model<'ctx>` don't even need to be a model anymore. It will only be
-// a type-hint for the `.load()/.store()` functions for the `pointee_ty`.
-//
-// See https://thedan64.github.io/inkwell/inkwell/builder/struct.Builder.html#method.build_load.
-impl<'ctx, Item: Model<'ctx>> Model<'ctx> for Ptr<Item> {
-    type Value = PointerValue<'ctx>;
-    type Type = PointerType<'ctx>;
-
-    fn llvm_type<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &G,
-        ctx: &'ctx Context,
-    ) -> Self::Type {
-        // TODO: LLVM 15: ctx.ptr_type(AddressSpace::default())
-        self.0.llvm_type(generator, ctx).ptr_type(AddressSpace::default())
-    }
-
-    fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        ty: T,
-    ) -> Result<(), ModelError> {
-        let ty = ty.as_basic_type_enum();
-        let Ok(ty) = PointerType::try_from(ty) else {
-            return Err(ModelError(format!("Expecting PointerType, but got {ty:?}")));
-        };
-
-        let elem_ty = ty.get_element_type();
-        let Ok(elem_ty) = BasicTypeEnum::try_from(elem_ty) else {
-            return Err(ModelError(format!(
-                "Expecting pointer element type to be a BasicTypeEnum, but got {elem_ty:?}"
-            )));
-        };
-
-        // TODO: inkwell `get_element_type()` will be deprecated.
-        // Remove the check for `get_element_type()` when the time comes.
-        self.0
-            .check_type(generator, ctx, elem_ty)
-            .map_err(|err| err.under_context("a PointerType"))?;
-
-        Ok(())
-    }
-}
-
-impl<'ctx, Item: Model<'ctx>> Ptr<Item> {
-    /// Return a ***constant*** nullptr.
-    pub fn nullptr<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-    ) -> Instance<'ctx, Ptr<Item>> {
-        let ptr = self.llvm_type(generator, ctx).const_null();
-        unsafe { self.believe_value(ptr) }
-    }
-
-    /// Cast a pointer into this model with [`inkwell::builder::Builder::build_pointer_cast`]
-    pub fn pointer_cast<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        ptr: PointerValue<'ctx>,
-    ) -> Instance<'ctx, Ptr<Item>> {
-        // TODO: LLVM 15: Write in an impl where `Item` does not have to be `Model<'ctx>`.
-        // TODO: LLVM 15: This function will only have to be:
-        // ```
-        // return self.believe_value(ptr);
-        // ```
-        let t = self.llvm_type(generator, ctx.ctx);
-        let ptr = ctx.builder.build_pointer_cast(ptr, t, "").unwrap();
-        unsafe { self.believe_value(ptr) }
-    }
-}
-
-impl<'ctx, Item: Model<'ctx>> Instance<'ctx, Ptr<Item>> {
-    /// Offset the pointer by [`inkwell::builder::Builder::build_in_bounds_gep`].
-    #[must_use]
-    pub fn offset(
-        &self,
-        ctx: &CodeGenContext<'ctx, '_>,
-        offset: IntValue<'ctx>,
-    ) -> Instance<'ctx, Ptr<Item>> {
-        let p = unsafe { ctx.builder.build_in_bounds_gep(self.value, &[offset], "").unwrap() };
-        unsafe { self.model.believe_value(p) }
-    }
-
-    /// Offset the pointer by [`inkwell::builder::Builder::build_in_bounds_gep`] by a constant offset.
-    #[must_use]
-    pub fn offset_const(
-        &self,
-        ctx: &CodeGenContext<'ctx, '_>,
-        offset: i64,
-    ) -> Instance<'ctx, Ptr<Item>> {
-        let offset = ctx.ctx.i32_type().const_int(offset as u64, true);
-        self.offset(ctx, offset)
-    }
-
-    pub fn set_index(
-        &self,
-        ctx: &CodeGenContext<'ctx, '_>,
-        index: IntValue<'ctx>,
-        value: Instance<'ctx, Item>,
-    ) {
-        self.offset(ctx, index).store(ctx, value);
-    }
-
-    pub fn set_index_const(
-        &self,
-        ctx: &CodeGenContext<'ctx, '_>,
-        index: i64,
-        value: Instance<'ctx, Item>,
-    ) {
-        self.offset_const(ctx, index).store(ctx, value);
-    }
-
-    pub fn get_index<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        index: IntValue<'ctx>,
-    ) -> Instance<'ctx, Item> {
-        self.offset(ctx, index).load(generator, ctx)
-    }
-
-    pub fn get_index_const<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        index: i64,
-    ) -> Instance<'ctx, Item> {
-        self.offset_const(ctx, index).load(generator, ctx)
-    }
-
-    /// Load the value with [`inkwell::builder::Builder::build_load`].
-    pub fn load<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-    ) -> Instance<'ctx, Item> {
-        let value = ctx.builder.build_load(self.value, "").unwrap();
-        self.model.0.check_value(generator, ctx.ctx, value).unwrap() // If unwrap() panics, there is a logic error.
-    }
-
-    /// Store a value with [`inkwell::builder::Builder::build_store`].
-    pub fn store(&self, ctx: &CodeGenContext<'ctx, '_>, value: Instance<'ctx, Item>) {
-        ctx.builder.build_store(self.value, value.value).unwrap();
-    }
-
-    /// Return a casted pointer of element type `NewElement` with [`inkwell::builder::Builder::build_pointer_cast`].
-    pub fn pointer_cast<NewItem: Model<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        new_item: NewItem,
-    ) -> Instance<'ctx, Ptr<NewItem>> {
-        // TODO: LLVM 15: Write in an impl where `Item` does not have to be `Model<'ctx>`.
-        Ptr(new_item).pointer_cast(generator, ctx, self.value)
-    }
-
-    /// Check if the pointer is null with [`inkwell::builder::Builder::build_is_null`].
-    pub fn is_null(&self, ctx: &CodeGenContext<'ctx, '_>) -> Instance<'ctx, Int<Bool>> {
-        let value = ctx.builder.build_is_null(self.value, "").unwrap();
-        unsafe { Int(Bool).believe_value(value) }
-    }
-
-    /// Check if the pointer is not null with [`inkwell::builder::Builder::build_is_not_null`].
-    pub fn is_not_null(&self, ctx: &CodeGenContext<'ctx, '_>) -> Instance<'ctx, Int<Bool>> {
-        let value = ctx.builder.build_is_not_null(self.value, "").unwrap();
-        unsafe { Int(Bool).believe_value(value) }
-    }
-
-    /// `memcpy` from another pointer.
-    pub fn copy_from<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        source: Self,
-        num_items: IntValue<'ctx>,
-    ) {
-        // Force extend `num_items` and `itemsize` to `i64` so their types would match.
-        let itemsize = self.model.size_of(generator, ctx.ctx);
-        let itemsize = Int(SizeT).z_extend_or_truncate(generator, ctx, itemsize);
-        let num_items = Int(SizeT).z_extend_or_truncate(generator, ctx, num_items);
-        let totalsize = itemsize.mul(ctx, num_items);
-
-        let is_volatile = ctx.ctx.bool_type().const_zero(); // is_volatile = false
-        call_memcpy_generic(ctx, self.value, source.value, totalsize.value, is_volatile);
-    }
-}

nac3core/src/codegen/model/structure.rs

@@ -1,363 +0,0 @@
-use std::fmt;
-
-use inkwell::{
-    context::Context,
-    types::{BasicType, BasicTypeEnum, StructType},
-    values::{BasicValueEnum, StructValue},
-};
-
-use super::*;
-use crate::codegen::{CodeGenContext, CodeGenerator};
-
-/// A traveral that traverses a Rust `struct` that is used to declare an LLVM's struct's field types.
-pub trait FieldTraversal<'ctx> {
-    /// Output type of [`FieldTraversal::add`].
-    type Output<M>;
-
-    /// Traverse through the type of a declared field and do something with it.
-    ///
-    /// * `name` - The cosmetic name of the LLVM field. Used for debugging.
-    /// * `model` - The [`Model`] representing the LLVM type of this field.
-    fn add<M: Model<'ctx>>(&mut self, name: &'static str, model: M) -> Self::Output<M>;
-
-    /// Like [`FieldTraversal::add`] but [`Model`] is automatically inferred from its [`Default`] trait.
-    fn add_auto<M: Model<'ctx> + Default>(&mut self, name: &'static str) -> Self::Output<M> {
-        self.add(name, M::default())
-    }
-}
-
-/// Descriptor of an LLVM struct field.
-#[derive(Debug, Clone, Copy)]
-pub struct GepField<M> {
-    /// The GEP index of this field. This is the index to use with `build_gep`.
-    pub gep_index: u32,
-    /// The cosmetic name of this field.
-    pub name: &'static str,
-    /// The [`Model`] of this field's type.
-    pub model: M,
-}
-
-/// A traversal to calculate the GEP index of fields.
-pub struct GepFieldTraversal {
-    /// The current GEP index.
-    gep_index_counter: u32,
-}
-
-impl<'ctx> FieldTraversal<'ctx> for GepFieldTraversal {
-    type Output<M> = GepField<M>;
-
-    fn add<M: Model<'ctx>>(&mut self, name: &'static str, model: M) -> Self::Output<M> {
-        let gep_index = self.gep_index_counter;
-        self.gep_index_counter += 1;
-        Self::Output { gep_index, name, model }
-    }
-}
-
-/// A traversal to collect the field types of a struct.
-///
-/// This is used to collect field types and construct the LLVM struct type with [`Context::struct_type`].
-struct TypeFieldTraversal<'ctx, 'a, G: CodeGenerator + ?Sized> {
-    generator: &'a G,
-    ctx: &'ctx Context,
-    /// The collected field types so far in exact order.
-    field_types: Vec<BasicTypeEnum<'ctx>>,
-}
-
-impl<'ctx, 'a, G: CodeGenerator + ?Sized> FieldTraversal<'ctx> for TypeFieldTraversal<'ctx, 'a, G> {
-    type Output<M> = (); // Checking types return nothing.
-
-    fn add<M: Model<'ctx>>(&mut self, _name: &'static str, model: M) -> Self::Output<M> {
-        let t = model.llvm_type(self.generator, self.ctx).as_basic_type_enum();
-        self.field_types.push(t);
-    }
-}
-
-/// A traversal to check the types of fields.
-struct CheckTypeFieldTraversal<'ctx, 'a, G: CodeGenerator + ?Sized> {
-    generator: &'a mut G,
-    ctx: &'ctx Context,
-    /// The current GEP index, so we can tell the index of the field we are checking
-    /// and report the GEP index.
-    gep_index_counter: u32,
-    /// The [`StructType`] to check.
-    scrutinee: StructType<'ctx>,
-    /// The list of collected errors so far.
-    errors: Vec<ModelError>,
-}
-
-impl<'ctx, 'a, G: CodeGenerator + ?Sized> FieldTraversal<'ctx>
-    for CheckTypeFieldTraversal<'ctx, 'a, G>
-{
-    type Output<M> = (); // Checking types return nothing.
-
-    fn add<M: Model<'ctx>>(&mut self, name: &'static str, model: M) -> Self::Output<M> {
-        let gep_index = self.gep_index_counter;
-        self.gep_index_counter += 1;
-
-        if let Some(t) = self.scrutinee.get_field_type_at_index(gep_index) {
-            if let Err(err) = model.check_type(self.generator, self.ctx, t) {
-                self.errors
-                    .push(err.under_context(format!("field #{gep_index} '{name}'").as_str()));
-            }
-        }
-        // Otherwise, it will be caught by Struct's `check_type`.
-    }
-}
-
-/// A trait for Rust structs identifying LLVM structures.
-///
-/// ### Example
-///
-/// Suppose you want to define this structure:
-/// ```c
-/// template <typename T>
-/// struct ContiguousNDArray {
-///     size_t ndims;
-///     size_t* shape;
-///     T* data;
-/// }
-/// ```
-///
-/// This is how it should be done:
-/// ```ignore
-/// pub struct ContiguousNDArrayFields<'ctx, F: FieldTraversal<'ctx>, Item: Model<'ctx>> {
-///     pub ndims: F::Out<Int<SizeT>>,
-///     pub shape: F::Out<Ptr<Int<SizeT>>>,
-///     pub data: F::Out<Ptr<Item>>,
-/// }
-///
-/// /// An ndarray without strides and non-opaque `data` field in NAC3.
-/// #[derive(Debug, Clone, Copy)]
-/// pub struct ContiguousNDArray<M> {
-///     /// [`Model`] of the items.
-///     pub item: M,
-/// }
-///
-/// impl<'ctx, Item: Model<'ctx>> StructKind<'ctx> for ContiguousNDArray<Item> {
-///     type Fields<F: FieldTraversal<'ctx>> = ContiguousNDArrayFields<'ctx, F, Item>;
-///
-///     fn traverse_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F> {
-///         // The order of `traversal.add*` is important
-///         Self::Fields {
-///             ndims: traversal.add_auto("ndims"),
-///             shape: traversal.add_auto("shape"),
-///             data: traversal.add("data", Ptr(self.item)),
-///         }
-///     }
-/// }
-/// ```
-///
-/// The [`FieldTraversal`] here is a mechanism to allow the fields of `ContiguousNDArrayFields` to be
-/// traversed to do useful work such as:
-///
-/// - To create the [`StructType`] of `ContiguousNDArray` by collecting [`BasicType`]s of the fields.
-/// - To enable the `.gep(ctx, |f| f.ndims).store(ctx, ...)` syntax.
-///
-/// Suppose now that you have defined `ContiguousNDArray` and you want to allocate a `ContiguousNDArray`
-/// with dtype `float64` in LLVM, this is how you do it:
-/// ```ignore
-/// type F64NDArray = Struct<ContiguousNDArray<Float<Float64>>>; // Type alias for leaner documentation
-/// let model: F64NDArray = Struct(ContigousNDArray { item: Float(Float64) });
-/// let ndarray: Instance<'ctx, Ptr<F64NDArray>> = model.alloca(generator, ctx);
-/// ```
-///
-/// ...and here is how you may manipulate/access `ndarray`:
-///
-/// (NOTE: some arguments have been omitted)
-///
-/// ```ignore
-/// // Get `&ndarray->data`
-/// ndarray.gep(|f| f.data); // type: Instance<'ctx, Ptr<Float<Float64>>>
-///
-/// // Get `ndarray->ndims`
-/// ndarray.get(|f| f.ndims); // type: Instance<'ctx, Int<SizeT>>
-///
-/// // Get `&ndarray->ndims`
-/// ndarray.gep(|f| f.ndims); // type: Instance<'ctx, Ptr<Int<SizeT>>>
-///
-/// // Get `ndarray->shape[0]`
-/// ndarray.get(|f| f.shape).get_index_const(0); // Instance<'ctx, Int<SizeT>>
-///
-/// // Get `&ndarray->shape[2]`
-/// ndarray.get(|f| f.shape).offset_const(2); // Instance<'ctx, Ptr<Int<SizeT>>>
-///
-/// // Do `ndarray->ndims = 3;`
-/// let num_3 = Int(SizeT).const_int(3);
-/// ndarray.set(|f| f.ndims, num_3);
-/// ```
-pub trait StructKind<'ctx>: fmt::Debug + Clone + Copy {
-    /// The associated fields of this struct.
-    type Fields<F: FieldTraversal<'ctx>>;
-
-    /// Traverse through all fields of this [`StructKind`].
-    ///
-    /// Only used internally in this module for implementing other components.
-    fn iter_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F>;
-
-    /// Get a convenience structure to get a struct field's GEP index through its corresponding Rust field.
-    ///
-    /// Only used internally in this module for implementing other components.
-    fn fields(&self) -> Self::Fields<GepFieldTraversal> {
-        self.iter_fields(&mut GepFieldTraversal { gep_index_counter: 0 })
-    }
-
-    /// Get the LLVM [`StructType`] of this [`StructKind`].
-    fn get_struct_type<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &G,
-        ctx: &'ctx Context,
-    ) -> StructType<'ctx> {
-        let mut traversal = TypeFieldTraversal { generator, ctx, field_types: Vec::new() };
-        self.iter_fields(&mut traversal);
-
-        ctx.struct_type(&traversal.field_types, false)
-    }
-}
-
-/// A model for LLVM struct.
-///
-/// `S` should be of a [`StructKind`].
-#[derive(Debug, Clone, Copy, Default)]
-pub struct Struct<S>(pub S);
-
-impl<'ctx, S: StructKind<'ctx>> Struct<S> {
-    /// Create a constant struct value from its fields.
-    ///
-    /// This function also validates `fields` and panic when there is something wrong.
-    pub fn const_struct<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        fields: &[BasicValueEnum<'ctx>],
-    ) -> Instance<'ctx, Self> {
-        // NOTE: There *could* have been a functor `F<M> = Instance<'ctx, M>` for `S::Fields<F>`
-        // to create a more user-friendly interface, but Rust's type system is not sophisticated enough
-        // and if you try doing that Rust would force you put lifetimes everywhere.
-        let val = ctx.const_struct(fields, false);
-        self.check_value(generator, ctx, val).unwrap()
-    }
-}
-
-impl<'ctx, S: StructKind<'ctx>> Model<'ctx> for Struct<S> {
-    type Value = StructValue<'ctx>;
-    type Type = StructType<'ctx>;
-
-    fn llvm_type<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &G,
-        ctx: &'ctx Context,
-    ) -> Self::Type {
-        self.0.get_struct_type(generator, ctx)
-    }
-
-    fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        ty: T,
-    ) -> Result<(), ModelError> {
-        let ty = ty.as_basic_type_enum();
-        let Ok(ty) = StructType::try_from(ty) else {
-            return Err(ModelError(format!("Expecting StructType, but got {ty:?}")));
-        };
-
-        // Check each field individually.
-        let mut traversal = CheckTypeFieldTraversal {
-            generator,
-            ctx,
-            gep_index_counter: 0,
-            errors: Vec::new(),
-            scrutinee: ty,
-        };
-        self.0.iter_fields(&mut traversal);
-
-        // Check the number of fields.
-        let exp_num_fields = traversal.gep_index_counter;
-        let got_num_fields = u32::try_from(ty.get_field_types().len()).unwrap();
-        if exp_num_fields != got_num_fields {
-            return Err(ModelError(format!(
-                "Expecting StructType with {exp_num_fields} field(s), but got {got_num_fields}"
-            )));
-        }
-
-        if !traversal.errors.is_empty() {
-            // Currently, only the first error is reported.
-            return Err(traversal.errors[0].clone());
-        }
-
-        Ok(())
-    }
-}
-
-impl<'ctx, S: StructKind<'ctx>> Instance<'ctx, Struct<S>> {
-    /// Get a field with [`StructValue::get_field_at_index`].
-    pub fn get_field<G: CodeGenerator + ?Sized, M, GetField>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-        get_field: GetField,
-    ) -> Instance<'ctx, M>
-    where
-        M: Model<'ctx>,
-        GetField: FnOnce(S::Fields<GepFieldTraversal>) -> GepField<M>,
-    {
-        let field = get_field(self.model.0.fields());
-        let val = self.value.get_field_at_index(field.gep_index).unwrap();
-        field.model.check_value(generator, ctx, val).unwrap()
-    }
-}
-
-impl<'ctx, S: StructKind<'ctx>> Instance<'ctx, Ptr<Struct<S>>> {
-    /// Get a pointer to a field with [`Builder::build_in_bounds_gep`].
-    pub fn gep<M, GetField>(
-        &self,
-        ctx: &CodeGenContext<'ctx, '_>,
-        get_field: GetField,
-    ) -> Instance<'ctx, Ptr<M>>
-    where
-        M: Model<'ctx>,
-        GetField: FnOnce(S::Fields<GepFieldTraversal>) -> GepField<M>,
-    {
-        let field = get_field(self.model.0 .0.fields());
-        let llvm_i32 = ctx.ctx.i32_type();
-
-        let ptr = unsafe {
-            ctx.builder
-                .build_in_bounds_gep(
-                    self.value,
-                    &[llvm_i32.const_zero(), llvm_i32.const_int(u64::from(field.gep_index), false)],
-                    field.name,
-                )
-                .unwrap()
-        };
-
-        unsafe { Ptr(field.model).believe_value(ptr) }
-    }
-
-    /// Convenience function equivalent to `.gep(...).load(...)`.
-    pub fn get<M, GetField, G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &CodeGenContext<'ctx, '_>,
-        get_field: GetField,
-    ) -> Instance<'ctx, M>
-    where
-        M: Model<'ctx>,
-        GetField: FnOnce(S::Fields<GepFieldTraversal>) -> GepField<M>,
-    {
-        self.gep(ctx, get_field).load(generator, ctx)
-    }
-
-    /// Convenience function equivalent to `.gep(...).store(...)`.
-    pub fn set<M, GetField>(
-        &self,
-        ctx: &CodeGenContext<'ctx, '_>,
-        get_field: GetField,
-        value: Instance<'ctx, M>,
-    ) where
-        M: Model<'ctx>,
-        GetField: FnOnce(S::Fields<GepFieldTraversal>) -> GepField<M>,
-    {
-        self.gep(ctx, get_field).store(ctx, value);
-    }
-}

nac3core/src/codegen/model/util.rs

@@ -1,41 +0,0 @@
-use super::*;
-use crate::codegen::{
-    stmt::{gen_for_callback_incrementing, BreakContinueHooks},
-    CodeGenContext, CodeGenerator,
-};
-
-/// Like [`gen_for_callback_incrementing`] with [`Model`] abstractions.
-///
-/// The value for `stop` is exclusive.
-pub fn gen_for_model<'ctx, 'a, G, F, N>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, 'a>,
-    start: Instance<'ctx, Int<N>>,
-    stop: Instance<'ctx, Int<N>>,
-    step: Instance<'ctx, Int<N>>,
-    body: F,
-) -> Result<(), String>
-where
-    G: CodeGenerator + ?Sized,
-    F: FnOnce(
-        &mut G,
-        &mut CodeGenContext<'ctx, 'a>,
-        BreakContinueHooks<'ctx>,
-        Instance<'ctx, Int<N>>,
-    ) -> Result<(), String>,
-    N: IntKind<'ctx> + Default,
-{
-    let int_model = Int(N::default());
-    gen_for_callback_incrementing(
-        generator,
-        ctx,
-        None,
-        start.value,
-        (stop.value, false),
-        |g, ctx, hooks, i| {
-            let i = unsafe { int_model.believe_value(i) };
-            body(g, ctx, hooks, i)
-        },
-        step.value,
-    )
-}

nac3core/src/codegen/numpy.rs

@@ -21,16 +21,12 @@ use crate::{
         },
         llvm_intrinsics::{self, call_memcpy_generic},
         macros::codegen_unreachable,
-        object::{
-            any::AnyObject,
-            ndarray::{shape_util::parse_numpy_int_sequence, NDArrayObject},
-        },
         stmt::{gen_for_callback_incrementing, gen_for_range_callback, gen_if_else_expr_callback},
         CodeGenContext, CodeGenerator,
     },
     symbol_resolver::ValueEnum,
     toplevel::{
-        helper::{extract_ndims, PrimDef},
+        helper::PrimDef,
         numpy::{make_ndarray_ty, unpack_ndarray_var_tys},
         DefinitionId,
     },
@@ -1747,13 +1743,8 @@ pub fn gen_ndarray_empty<'ctx>(
     let shape_ty = fun.0.args[0].ty;
     let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
 
-    let (dtype, ndims) = unpack_ndarray_var_tys(&mut context.unifier, fun.0.ret);
-    let ndims = extract_ndims(&context.unifier, ndims);
-
-    let shape = AnyObject { value: shape_arg, ty: shape_ty };
-    let (_, shape) = parse_numpy_int_sequence(generator, context, shape);
-    let ndarray = NDArrayObject::make_np_empty(generator, context, dtype, ndims, shape);
-    Ok(ndarray.instance.value)
+    call_ndarray_empty_impl(generator, context, context.primitives.float, shape_arg)
+        .map(NDArrayValue::into)
 }
 
 /// Generates LLVM IR for `ndarray.zeros`.
@@ -1770,13 +1761,8 @@ pub fn gen_ndarray_zeros<'ctx>(
     let shape_ty = fun.0.args[0].ty;
     let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
 
-    let (dtype, ndims) = unpack_ndarray_var_tys(&mut context.unifier, fun.0.ret);
-    let ndims = extract_ndims(&context.unifier, ndims);
-
-    let shape = AnyObject { value: shape_arg, ty: shape_ty };
-    let (_, shape) = parse_numpy_int_sequence(generator, context, shape);
-    let ndarray = NDArrayObject::make_np_zeros(generator, context, dtype, ndims, shape);
-    Ok(ndarray.instance.value)
+    call_ndarray_zeros_impl(generator, context, context.primitives.float, shape_arg)
+        .map(NDArrayValue::into)
 }
 
 /// Generates LLVM IR for `ndarray.ones`.
@@ -1793,13 +1779,8 @@ pub fn gen_ndarray_ones<'ctx>(
     let shape_ty = fun.0.args[0].ty;
     let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
 
-    let (dtype, ndims) = unpack_ndarray_var_tys(&mut context.unifier, fun.0.ret);
-    let ndims = extract_ndims(&context.unifier, ndims);
-
-    let shape = AnyObject { value: shape_arg, ty: shape_ty };
-    let (_, shape) = parse_numpy_int_sequence(generator, context, shape);
-    let ndarray = NDArrayObject::make_np_ones(generator, context, dtype, ndims, shape);
-    Ok(ndarray.instance.value)
+    call_ndarray_ones_impl(generator, context, context.primitives.float, shape_arg)
+        .map(NDArrayValue::into)
 }
 
 /// Generates LLVM IR for `ndarray.full`.
@@ -1819,14 +1800,8 @@ pub fn gen_ndarray_full<'ctx>(
     let fill_value_arg =
         args[1].1.clone().to_basic_value_enum(context, generator, fill_value_ty)?;
 
-    let (dtype, ndims) = unpack_ndarray_var_tys(&mut context.unifier, fun.0.ret);
-    let ndims = extract_ndims(&context.unifier, ndims);
-
-    let shape = AnyObject { value: shape_arg, ty: shape_ty };
-    let (_, shape) = parse_numpy_int_sequence(generator, context, shape);
-    let ndarray =
-        NDArrayObject::make_np_full(generator, context, dtype, ndims, shape, fill_value_arg);
-    Ok(ndarray.instance.value)
+    call_ndarray_full_impl(generator, context, fill_value_ty, shape_arg, fill_value_arg)
+        .map(NDArrayValue::into)
 }
 
 pub fn gen_ndarray_array<'ctx>(

nac3core/src/codegen/object/any.rs

@@ -1,12 +0,0 @@
-use inkwell::values::BasicValueEnum;
-
-use crate::typecheck::typedef::Type;
-
-/// A NAC3 LLVM Python object of any type.
-#[derive(Debug, Clone, Copy)]
-pub struct AnyObject<'ctx> {
-    /// Typechecker type of the object.
-    pub ty: Type,
-    /// LLVM value of the object.
-    pub value: BasicValueEnum<'ctx>,
-}

nac3core/src/codegen/object/list.rs

@@ -1,75 +0,0 @@
-use super::any::AnyObject;
-use crate::{
-    codegen::{model::*, CodeGenContext, CodeGenerator},
-    typecheck::typedef::{iter_type_vars, Type, TypeEnum},
-};
-
-/// Fields of [`List`]
-pub struct ListFields<'ctx, F: FieldTraversal<'ctx>, Item: Model<'ctx>> {
-    /// Array pointer to content
-    pub items: F::Output<Ptr<Item>>,
-    /// Number of items in the array
-    pub len: F::Output<Int<SizeT>>,
-}
-
-/// A list in NAC3.
-#[derive(Debug, Clone, Copy, Default)]
-pub struct List<Item> {
-    /// Model of the list items
-    pub item: Item,
-}
-
-impl<'ctx, Item: Model<'ctx>> StructKind<'ctx> for List<Item> {
-    type Fields<F: FieldTraversal<'ctx>> = ListFields<'ctx, F, Item>;
-
-    fn iter_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F> {
-        Self::Fields {
-            items: traversal.add("items", Ptr(self.item)),
-            len: traversal.add_auto("len"),
-        }
-    }
-}
-
-/// A NAC3 Python List object.
-#[derive(Debug, Clone, Copy)]
-pub struct ListObject<'ctx> {
-    /// Typechecker type of the list items
-    pub item_type: Type,
-    pub instance: Instance<'ctx, Ptr<Struct<List<Any<'ctx>>>>>,
-}
-
-impl<'ctx> ListObject<'ctx> {
-    /// Create a [`ListObject`] from an LLVM value and its typechecker [`Type`].
-    pub fn from_object<G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        object: AnyObject<'ctx>,
-    ) -> Self {
-        // Check typechecker type and extract `item_type`
-        let item_type = match &*ctx.unifier.get_ty(object.ty) {
-            TypeEnum::TObj { obj_id, params, .. }
-                if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
-            {
-                iter_type_vars(params).next().unwrap().ty // Extract `item_type`
-            }
-            _ => {
-                panic!("Expecting type to be a list, but got {}", ctx.unifier.stringify(object.ty))
-            }
-        };
-
-        let plist = Ptr(Struct(List { item: Any(ctx.get_llvm_type(generator, item_type)) }));
-
-        // Create object
-        let value = plist.check_value(generator, ctx.ctx, object.value).unwrap();
-        ListObject { item_type, instance: value }
-    }
-
-    /// Get the `len()` of this list.
-    pub fn len<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) -> Instance<'ctx, Int<SizeT>> {
-        self.instance.get(generator, ctx, |f| f.len)
-    }
-}

nac3core/src/codegen/object/mod.rs

@@ -1,4 +0,0 @@
-pub mod any;
-pub mod list;
-pub mod ndarray;
-pub mod tuple;

nac3core/src/codegen/object/ndarray/factory.rs

@@ -1,125 +0,0 @@
-use inkwell::values::BasicValueEnum;
-
-use super::NDArrayObject;
-use crate::{
-    codegen::{
-        irrt::call_nac3_ndarray_util_assert_shape_no_negative, model::*, CodeGenContext,
-        CodeGenerator,
-    },
-    typecheck::typedef::Type,
-};
-
-/// Get the zero value in `np.zeros()` of a `dtype`.
-fn ndarray_zero_value<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    dtype: Type,
-) -> BasicValueEnum<'ctx> {
-    if [ctx.primitives.int32, ctx.primitives.uint32]
-        .iter()
-        .any(|ty| ctx.unifier.unioned(dtype, *ty))
-    {
-        ctx.ctx.i32_type().const_zero().into()
-    } else if [ctx.primitives.int64, ctx.primitives.uint64]
-        .iter()
-        .any(|ty| ctx.unifier.unioned(dtype, *ty))
-    {
-        ctx.ctx.i64_type().const_zero().into()
-    } else if ctx.unifier.unioned(dtype, ctx.primitives.float) {
-        ctx.ctx.f64_type().const_zero().into()
-    } else if ctx.unifier.unioned(dtype, ctx.primitives.bool) {
-        ctx.ctx.bool_type().const_zero().into()
-    } else if ctx.unifier.unioned(dtype, ctx.primitives.str) {
-        ctx.gen_string(generator, "").into()
-    } else {
-        panic!("unrecognized dtype: {}", ctx.unifier.stringify(dtype));
-    }
-}
-
-/// Get the one value in `np.ones()` of a `dtype`.
-fn ndarray_one_value<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    dtype: Type,
-) -> BasicValueEnum<'ctx> {
-    if [ctx.primitives.int32, ctx.primitives.uint32]
-        .iter()
-        .any(|ty| ctx.unifier.unioned(dtype, *ty))
-    {
-        let is_signed = ctx.unifier.unioned(dtype, ctx.primitives.int32);
-        ctx.ctx.i32_type().const_int(1, is_signed).into()
-    } else if [ctx.primitives.int64, ctx.primitives.uint64]
-        .iter()
-        .any(|ty| ctx.unifier.unioned(dtype, *ty))
-    {
-        let is_signed = ctx.unifier.unioned(dtype, ctx.primitives.int64);
-        ctx.ctx.i64_type().const_int(1, is_signed).into()
-    } else if ctx.unifier.unioned(dtype, ctx.primitives.float) {
-        ctx.ctx.f64_type().const_float(1.0).into()
-    } else if ctx.unifier.unioned(dtype, ctx.primitives.bool) {
-        ctx.ctx.bool_type().const_int(1, false).into()
-    } else if ctx.unifier.unioned(dtype, ctx.primitives.str) {
-        ctx.gen_string(generator, "1").into()
-    } else {
-        panic!("unrecognized dtype: {}", ctx.unifier.stringify(dtype));
-    }
-}
-
-impl<'ctx> NDArrayObject<'ctx> {
-    /// Create an ndarray like `np.empty`.
-    pub fn make_np_empty<G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        dtype: Type,
-        ndims: u64,
-        shape: Instance<'ctx, Ptr<Int<SizeT>>>,
-    ) -> Self {
-        // Validate `shape`
-        let ndims_llvm = Int(SizeT).const_int(generator, ctx.ctx, ndims, false);
-        call_nac3_ndarray_util_assert_shape_no_negative(generator, ctx, ndims_llvm, shape);
-
-        let ndarray = NDArrayObject::alloca(generator, ctx, dtype, ndims);
-        ndarray.copy_shape_from_array(generator, ctx, shape);
-        ndarray.create_data(generator, ctx);
-
-        ndarray
-    }
-
-    /// Create an ndarray like `np.full`.
-    pub fn make_np_full<G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        dtype: Type,
-        ndims: u64,
-        shape: Instance<'ctx, Ptr<Int<SizeT>>>,
-        fill_value: BasicValueEnum<'ctx>,
-    ) -> Self {
-        let ndarray = NDArrayObject::make_np_empty(generator, ctx, dtype, ndims, shape);
-        ndarray.fill(generator, ctx, fill_value);
-        ndarray
-    }
-
-    /// Create an ndarray like `np.zero`.
-    pub fn make_np_zeros<G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        dtype: Type,
-        ndims: u64,
-        shape: Instance<'ctx, Ptr<Int<SizeT>>>,
-    ) -> Self {
-        let fill_value = ndarray_zero_value(generator, ctx, dtype);
-        NDArrayObject::make_np_full(generator, ctx, dtype, ndims, shape, fill_value)
-    }
-
-    /// Create an ndarray like `np.ones`.
-    pub fn make_np_ones<G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        dtype: Type,
-        ndims: u64,
-        shape: Instance<'ctx, Ptr<Int<SizeT>>>,
-    ) -> Self {
-        let fill_value = ndarray_one_value(generator, ctx, dtype);
-        NDArrayObject::make_np_full(generator, ctx, dtype, ndims, shape, fill_value)
-    }
-}

nac3core/src/codegen/object/ndarray/mod.rs

@@ -1,371 +0,0 @@
-use inkwell::{
-    context::Context,
-    types::BasicType,
-    values::{BasicValueEnum, PointerValue},
-    AddressSpace,
-};
-
-use super::any::AnyObject;
-use crate::{
-    codegen::{
-        irrt::{
-            call_nac3_ndarray_copy_data, call_nac3_ndarray_get_nth_pelement,
-            call_nac3_ndarray_get_pelement_by_indices, call_nac3_ndarray_is_c_contiguous,
-            call_nac3_ndarray_len, call_nac3_ndarray_nbytes,
-            call_nac3_ndarray_set_strides_by_shape, call_nac3_ndarray_size,
-        },
-        model::*,
-        CodeGenContext, CodeGenerator,
-    },
-    toplevel::{helper::extract_ndims, numpy::unpack_ndarray_var_tys},
-    typecheck::typedef::Type,
-};
-
-pub mod factory;
-pub mod nditer;
-pub mod shape_util;
-
-/// Fields of [`NDArray`]
-pub struct NDArrayFields<'ctx, F: FieldTraversal<'ctx>> {
-    pub data: F::Output<Ptr<Int<Byte>>>,
-    pub itemsize: F::Output<Int<SizeT>>,
-    pub ndims: F::Output<Int<SizeT>>,
-    pub shape: F::Output<Ptr<Int<SizeT>>>,
-    pub strides: F::Output<Ptr<Int<SizeT>>>,
-}
-
-/// A strided ndarray in NAC3.
-///
-/// See IRRT implementation for details about its fields.
-#[derive(Debug, Clone, Copy, Default)]
-pub struct NDArray;
-
-impl<'ctx> StructKind<'ctx> for NDArray {
-    type Fields<F: FieldTraversal<'ctx>> = NDArrayFields<'ctx, F>;
-
-    fn iter_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F> {
-        Self::Fields {
-            data: traversal.add_auto("data"),
-            itemsize: traversal.add_auto("itemsize"),
-            ndims: traversal.add_auto("ndims"),
-            shape: traversal.add_auto("shape"),
-            strides: traversal.add_auto("strides"),
-        }
-    }
-}
-
-/// A NAC3 Python ndarray object.
-#[derive(Debug, Clone, Copy)]
-pub struct NDArrayObject<'ctx> {
-    pub dtype: Type,
-    pub ndims: u64,
-    pub instance: Instance<'ctx, Ptr<Struct<NDArray>>>,
-}
-
-impl<'ctx> NDArrayObject<'ctx> {
-    /// Attempt to convert an [`AnyObject`] into an [`NDArrayObject`].
-    pub fn from_object<G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        object: AnyObject<'ctx>,
-    ) -> NDArrayObject<'ctx> {
-        let (dtype, ndims) = unpack_ndarray_var_tys(&mut ctx.unifier, object.ty);
-        let ndims = extract_ndims(&ctx.unifier, ndims);
-
-        let value = Ptr(Struct(NDArray)).check_value(generator, ctx.ctx, object.value).unwrap();
-        NDArrayObject { dtype, ndims, instance: value }
-    }
-
-    /// Get this ndarray's `ndims` as an LLVM constant.
-    pub fn ndims_llvm<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &'ctx Context,
-    ) -> Instance<'ctx, Int<SizeT>> {
-        Int(SizeT).const_int(generator, ctx, self.ndims, false)
-    }
-
-    /// Allocate an ndarray on the stack given its `ndims` and `dtype`.
-    ///
-    /// `shape` and `strides` will be automatically allocated onto the stack.
-    ///
-    /// The returned ndarray's content will be:
-    /// - `data`: uninitialized.
-    /// - `itemsize`: set to the `sizeof()` of `dtype`.
-    /// - `ndims`: set to the value of  `ndims`.
-    /// - `shape`: allocated with an array of length `ndims` with uninitialized values.
-    /// - `strides`: allocated with an array of length `ndims` with uninitialized values.
-    pub fn alloca<G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        dtype: Type,
-        ndims: u64,
-    ) -> Self {
-        let ndarray = Struct(NDArray).alloca(generator, ctx);
-
-        let itemsize = ctx.get_llvm_type(generator, dtype).size_of().unwrap();
-        let itemsize = Int(SizeT).z_extend_or_truncate(generator, ctx, itemsize);
-        ndarray.set(ctx, |f| f.itemsize, itemsize);
-
-        let ndims_val = Int(SizeT).const_int(generator, ctx.ctx, ndims, false);
-        ndarray.set(ctx, |f| f.ndims, ndims_val);
-
-        let shape = Int(SizeT).array_alloca(generator, ctx, ndims_val.value);
-        ndarray.set(ctx, |f| f.shape, shape);
-
-        let strides = Int(SizeT).array_alloca(generator, ctx, ndims_val.value);
-        ndarray.set(ctx, |f| f.strides, strides);
-
-        NDArrayObject { dtype, ndims, instance: ndarray }
-    }
-
-    /// Convenience function. Allocate an [`NDArrayObject`] with a statically known shape.
-    ///
-    /// The returned [`NDArrayObject`]'s `data` and `strides` are uninitialized.
-    pub fn alloca_constant_shape<G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        dtype: Type,
-        shape: &[u64],
-    ) -> Self {
-        let ndarray = NDArrayObject::alloca(generator, ctx, dtype, shape.len() as u64);
-
-        // Write shape
-        let dst_shape = ndarray.instance.get(generator, ctx, |f| f.shape);
-        for (i, dim) in shape.iter().enumerate() {
-            let dim = Int(SizeT).const_int(generator, ctx.ctx, *dim, false);
-            dst_shape.offset_const(ctx, i64::try_from(i).unwrap()).store(ctx, dim);
-        }
-
-        ndarray
-    }
-
-    /// Convenience function. Allocate an [`NDArrayObject`] with a dynamically known shape.
-    ///
-    /// The returned [`NDArrayObject`]'s `data` and `strides` are uninitialized.
-    pub fn alloca_dynamic_shape<G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        dtype: Type,
-        shape: &[Instance<'ctx, Int<SizeT>>],
-    ) -> Self {
-        let ndarray = NDArrayObject::alloca(generator, ctx, dtype, shape.len() as u64);
-
-        // Write shape
-        let dst_shape = ndarray.instance.get(generator, ctx, |f| f.shape);
-        for (i, dim) in shape.iter().enumerate() {
-            dst_shape.offset_const(ctx, i64::try_from(i).unwrap()).store(ctx, *dim);
-        }
-
-        ndarray
-    }
-
-    /// Initialize an ndarray's `data` by allocating a buffer on the stack.
-    /// The allocated data buffer is considered to be *owned* by the ndarray.
-    ///
-    /// `strides` of the ndarray will also be updated with `set_strides_by_shape`.
-    ///
-    /// `shape` and `itemsize` of the ndarray ***must*** be initialized first.
-    pub fn create_data<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) {
-        let nbytes = self.nbytes(generator, ctx);
-
-        let data = Int(Byte).array_alloca(generator, ctx, nbytes.value);
-        self.instance.set(ctx, |f| f.data, data);
-
-        self.set_strides_contiguous(generator, ctx);
-    }
-
-    /// Copy shape dimensions from an array.
-    pub fn copy_shape_from_array<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        shape: Instance<'ctx, Ptr<Int<SizeT>>>,
-    ) {
-        let num_items = self.ndims_llvm(generator, ctx.ctx).value;
-        self.instance.get(generator, ctx, |f| f.shape).copy_from(generator, ctx, shape, num_items);
-    }
-
-    /// Copy shape dimensions from an ndarray.
-    /// Panics if `ndims` mismatches.
-    pub fn copy_shape_from_ndarray<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        src_ndarray: NDArrayObject<'ctx>,
-    ) {
-        assert_eq!(self.ndims, src_ndarray.ndims);
-        let src_shape = src_ndarray.instance.get(generator, ctx, |f| f.shape);
-        self.copy_shape_from_array(generator, ctx, src_shape);
-    }
-
-    /// Copy strides dimensions from an array.
-    pub fn copy_strides_from_array<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        strides: Instance<'ctx, Ptr<Int<SizeT>>>,
-    ) {
-        let num_items = self.ndims_llvm(generator, ctx.ctx).value;
-        self.instance
-            .get(generator, ctx, |f| f.strides)
-            .copy_from(generator, ctx, strides, num_items);
-    }
-
-    /// Copy strides dimensions from an ndarray.
-    /// Panics if `ndims` mismatches.
-    pub fn copy_strides_from_ndarray<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        src_ndarray: NDArrayObject<'ctx>,
-    ) {
-        assert_eq!(self.ndims, src_ndarray.ndims);
-        let src_strides = src_ndarray.instance.get(generator, ctx, |f| f.strides);
-        self.copy_strides_from_array(generator, ctx, src_strides);
-    }
-
-    /// Get the `np.size()` of this ndarray.
-    pub fn size<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) -> Instance<'ctx, Int<SizeT>> {
-        call_nac3_ndarray_size(generator, ctx, self.instance)
-    }
-
-    /// Get the `ndarray.nbytes` of this ndarray.
-    pub fn nbytes<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) -> Instance<'ctx, Int<SizeT>> {
-        call_nac3_ndarray_nbytes(generator, ctx, self.instance)
-    }
-
-    /// Get the `len()` of this ndarray.
-    pub fn len<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) -> Instance<'ctx, Int<SizeT>> {
-        call_nac3_ndarray_len(generator, ctx, self.instance)
-    }
-
-    /// Check if this ndarray is C-contiguous.
-    ///
-    /// See NumPy's `flags["C_CONTIGUOUS"]`: <https://numpy.org/doc/stable/reference/generated/numpy.ndarray.flags.html#numpy.ndarray.flags>
-    pub fn is_c_contiguous<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) -> Instance<'ctx, Int<Bool>> {
-        call_nac3_ndarray_is_c_contiguous(generator, ctx, self.instance)
-    }
-
-    /// Get the pointer to the n-th (0-based) element.
-    ///
-    /// The returned pointer has the element type of the LLVM type of this ndarray's `dtype`.
-    pub fn get_nth_pelement<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        nth: Instance<'ctx, Int<SizeT>>,
-    ) -> PointerValue<'ctx> {
-        let elem_ty = ctx.get_llvm_type(generator, self.dtype);
-
-        let p = call_nac3_ndarray_get_nth_pelement(generator, ctx, self.instance, nth);
-        ctx.builder
-            .build_pointer_cast(p.value, elem_ty.ptr_type(AddressSpace::default()), "")
-            .unwrap()
-    }
-
-    /// Get the n-th (0-based) scalar.
-    pub fn get_nth_scalar<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        nth: Instance<'ctx, Int<SizeT>>,
-    ) -> AnyObject<'ctx> {
-        let ptr = self.get_nth_pelement(generator, ctx, nth);
-        let value = ctx.builder.build_load(ptr, "").unwrap();
-        AnyObject { ty: self.dtype, value }
-    }
-
-    /// Get the pointer to the element indexed by `indices`.
-    ///
-    /// The returned pointer has the element type of the LLVM type of this ndarray's `dtype`.
-    pub fn get_pelement_by_indices<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        indices: Instance<'ctx, Ptr<Int<SizeT>>>,
-    ) -> PointerValue<'ctx> {
-        let elem_ty = ctx.get_llvm_type(generator, self.dtype);
-
-        let p = call_nac3_ndarray_get_pelement_by_indices(generator, ctx, self.instance, indices);
-        ctx.builder
-            .build_pointer_cast(p.value, elem_ty.ptr_type(AddressSpace::default()), "")
-            .unwrap()
-    }
-
-    /// Get the scalar indexed by `indices`.
-    pub fn get_scalar_by_indices<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        indices: Instance<'ctx, Ptr<Int<SizeT>>>,
-    ) -> AnyObject<'ctx> {
-        let ptr = self.get_pelement_by_indices(generator, ctx, indices);
-        let value = ctx.builder.build_load(ptr, "").unwrap();
-        AnyObject { ty: self.dtype, value }
-    }
-
-    /// Call [`call_nac3_ndarray_set_strides_by_shape`] on this ndarray to update `strides`.
-    ///
-    /// Update the ndarray's strides to make the ndarray contiguous.
-    pub fn set_strides_contiguous<G: CodeGenerator + ?Sized>(
-        self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) {
-        call_nac3_ndarray_set_strides_by_shape(generator, ctx, self.instance);
-    }
-
-    /// Copy data from another ndarray.
-    ///
-    /// This ndarray and `src` is that their `np.size()` should be the same. Their shapes
-    /// do not matter. The copying order is determined by how their flattened views look.
-    ///
-    /// Panics if the `dtype`s of ndarrays are different.
-    pub fn copy_data_from<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        src: NDArrayObject<'ctx>,
-    ) {
-        assert!(ctx.unifier.unioned(self.dtype, src.dtype), "self and src dtype should match");
-        call_nac3_ndarray_copy_data(generator, ctx, src.instance, self.instance);
-    }
-
-    /// Fill the ndarray with a scalar.
-    ///
-    /// `fill_value` must have the same LLVM type as the `dtype` of this ndarray.
-    pub fn fill<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        value: BasicValueEnum<'ctx>,
-    ) {
-        self.foreach(generator, ctx, |generator, ctx, _hooks, nditer| {
-            let p = nditer.get_pointer(generator, ctx);
-            ctx.builder.build_store(p, value).unwrap();
-            Ok(())
-        })
-        .unwrap();
-    }
-}

nac3core/src/codegen/object/ndarray/nditer.rs

@@ -1,178 +0,0 @@
-use inkwell::{types::BasicType, values::PointerValue, AddressSpace};
-
-use super::NDArrayObject;
-use crate::codegen::{
-    irrt::{call_nac3_nditer_has_element, call_nac3_nditer_initialize, call_nac3_nditer_next},
-    model::*,
-    object::any::AnyObject,
-    stmt::{gen_for_callback, BreakContinueHooks},
-    CodeGenContext, CodeGenerator,
-};
-
-/// Fields of [`NDIter`]
-pub struct NDIterFields<'ctx, F: FieldTraversal<'ctx>> {
-    pub ndims: F::Output<Int<SizeT>>,
-    pub shape: F::Output<Ptr<Int<SizeT>>>,
-    pub strides: F::Output<Ptr<Int<SizeT>>>,
-
-    pub indices: F::Output<Ptr<Int<SizeT>>>,
-    pub nth: F::Output<Int<SizeT>>,
-    pub element: F::Output<Ptr<Int<Byte>>>,
-
-    pub size: F::Output<Int<SizeT>>,
-}
-
-/// An IRRT helper structure used to iterate through an ndarray.
-#[derive(Debug, Clone, Copy, Default)]
-pub struct NDIter;
-
-impl<'ctx> StructKind<'ctx> for NDIter {
-    type Fields<F: FieldTraversal<'ctx>> = NDIterFields<'ctx, F>;
-
-    fn iter_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F> {
-        Self::Fields {
-            ndims: traversal.add_auto("ndims"),
-            shape: traversal.add_auto("shape"),
-            strides: traversal.add_auto("strides"),
-
-            indices: traversal.add_auto("indices"),
-            nth: traversal.add_auto("nth"),
-            element: traversal.add_auto("element"),
-
-            size: traversal.add_auto("size"),
-        }
-    }
-}
-
-/// A helper structure with a convenient interface to interact with [`NDIter`].
-#[derive(Debug, Clone)]
-pub struct NDIterHandle<'ctx> {
-    instance: Instance<'ctx, Ptr<Struct<NDIter>>>,
-    /// The ndarray this [`NDIter`] to iterating over.
-    ndarray: NDArrayObject<'ctx>,
-    /// The current indices of [`NDIter`].
-    indices: Instance<'ctx, Ptr<Int<SizeT>>>,
-}
-
-impl<'ctx> NDIterHandle<'ctx> {
-    /// Allocate an [`NDIter`] that iterates through an ndarray.
-    pub fn new<G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        ndarray: NDArrayObject<'ctx>,
-    ) -> Self {
-        let nditer = Struct(NDIter).alloca(generator, ctx);
-        let ndims = ndarray.ndims_llvm(generator, ctx.ctx);
-
-        // The caller has the responsibility to allocate 'indices' for `NDIter`.
-        let indices = Int(SizeT).array_alloca(generator, ctx, ndims.value);
-        call_nac3_nditer_initialize(generator, ctx, nditer, ndarray.instance, indices);
-
-        NDIterHandle { ndarray, instance: nditer, indices }
-    }
-
-    /// Is the current iteration valid?
-    ///
-    /// If true, then `element`, `indices` and `nth` contain details about the current element.
-    ///
-    /// If `ndarray` is unsized, this returns true only for the first iteration.
-    /// If `ndarray` is 0-sized, this always returns false.
-    #[must_use]
-    pub fn has_element<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) -> Instance<'ctx, Int<Bool>> {
-        call_nac3_nditer_has_element(generator, ctx, self.instance)
-    }
-
-    /// Go to the next element. If `has_element()` is false, then this has undefined behavior.
-    ///
-    /// If `ndarray` is unsized, this can only be called once.
-    /// If `ndarray` is 0-sized, this can never be called.
-    pub fn next<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) {
-        call_nac3_nditer_next(generator, ctx, self.instance);
-    }
-
-    /// Get pointer to the current element.
-    #[must_use]
-    pub fn get_pointer<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) -> PointerValue<'ctx> {
-        let elem_ty = ctx.get_llvm_type(generator, self.ndarray.dtype);
-
-        let p = self.instance.get(generator, ctx, |f| f.element);
-        ctx.builder
-            .build_pointer_cast(p.value, elem_ty.ptr_type(AddressSpace::default()), "element")
-            .unwrap()
-    }
-
-    /// Get the value of the current element.
-    #[must_use]
-    pub fn get_scalar<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) -> AnyObject<'ctx> {
-        let p = self.get_pointer(generator, ctx);
-        let value = ctx.builder.build_load(p, "value").unwrap();
-        AnyObject { ty: self.ndarray.dtype, value }
-    }
-
-    /// Get the index of the current element if this ndarray were a flat ndarray.
-    #[must_use]
-    pub fn get_index<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) -> Instance<'ctx, Int<SizeT>> {
-        self.instance.get(generator, ctx, |f| f.nth)
-    }
-
-    /// Get the indices of the current element.
-    #[must_use]
-    pub fn get_indices(&self) -> Instance<'ctx, Ptr<Int<SizeT>>> {
-        self.indices
-    }
-}
-
-impl<'ctx> NDArrayObject<'ctx> {
-    /// Iterate through every element in the ndarray.
-    ///
-    /// `body` has access to [`BreakContinueHooks`] to short-circuit and [`NDIterHandle`] to
-    /// get properties of the current iteration (e.g., the current element, indices, etc.)
-    pub fn foreach<'a, G, F>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, 'a>,
-        body: F,
-    ) -> Result<(), String>
-    where
-        G: CodeGenerator + ?Sized,
-        F: FnOnce(
-            &mut G,
-            &mut CodeGenContext<'ctx, 'a>,
-            BreakContinueHooks<'ctx>,
-            NDIterHandle<'ctx>,
-        ) -> Result<(), String>,
-    {
-        gen_for_callback(
-            generator,
-            ctx,
-            Some("ndarray_foreach"),
-            |generator, ctx| Ok(NDIterHandle::new(generator, ctx, *self)),
-            |generator, ctx, nditer| Ok(nditer.has_element(generator, ctx).value),
-            |generator, ctx, hooks, nditer| body(generator, ctx, hooks, nditer),
-            |generator, ctx, nditer| {
-                nditer.next(generator, ctx);
-                Ok(())
-            },
-        )
-    }
-}

nac3core/src/codegen/object/ndarray/shape_util.rs

@@ -1,104 +0,0 @@
-use crate::{
-    codegen::{
-        model::*,
-        object::{any::AnyObject, list::ListObject, tuple::TupleObject},
-        CodeGenContext, CodeGenerator,
-    },
-    typecheck::typedef::TypeEnum,
-};
-use util::gen_for_model;
-
-/// Parse a NumPy-like "int sequence" input and return the int sequence as an array and its length.
-///
-/// * `sequence` - The `sequence` parameter.
-/// * `sequence_ty` - The typechecker type of `sequence`
-///
-/// The `sequence` argument type may only be one of the following:
-///   1. A list of `int32`;   e.g., `np.empty([600, 800, 3])`
-///   2. A tuple of `int32`;  e.g., `np.empty((600, 800, 3))`
-///   3. A scalar `int32`;    e.g., `np.empty(3)`, this is functionally equivalent to `np.empty([3])`
-///
-/// All `int32` values will be sign-extended to `SizeT`.
-pub fn parse_numpy_int_sequence<'ctx, G: CodeGenerator + ?Sized>(
-    generator: &mut G,
-    ctx: &mut CodeGenContext<'ctx, '_>,
-    input_sequence: AnyObject<'ctx>,
-) -> (Instance<'ctx, Int<SizeT>>, Instance<'ctx, Ptr<Int<SizeT>>>) {
-    let zero = Int(SizeT).const_0(generator, ctx.ctx);
-    let one = Int(SizeT).const_1(generator, ctx.ctx);
-
-    // The result `list` to return.
-    match &*ctx.unifier.get_ty(input_sequence.ty) {
-        TypeEnum::TObj { obj_id, .. }
-            if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
-        {
-            // 1. A list of `int32`; e.g., `np.empty([600, 800, 3])`
-
-            // Check `input_sequence`
-            let input_sequence = ListObject::from_object(generator, ctx, input_sequence);
-
-            let len = input_sequence.instance.get(generator, ctx, |f| f.len);
-            let result = Int(SizeT).array_alloca(generator, ctx, len.value);
-
-            // Load all the `int32`s from the input_sequence, cast them to `SizeT`, and store them into `result`
-            gen_for_model(generator, ctx, zero, len, one, |generator, ctx, _hooks, i| {
-                // Load the i-th int32 in the input sequence
-                let int = input_sequence
-                    .instance
-                    .get(generator, ctx, |f| f.items)
-                    .get_index(generator, ctx, i.value)
-                    .value
-                    .into_int_value();
-
-                // Cast to SizeT
-                let int = Int(SizeT).s_extend_or_bit_cast(generator, ctx, int);
-
-                // Store
-                result.set_index(ctx, i.value, int);
-
-                Ok(())
-            })
-            .unwrap();
-
-            (len, result)
-        }
-        TypeEnum::TTuple { .. } => {
-            // 2. A tuple of ints; e.g., `np.empty((600, 800, 3))`
-
-            let input_sequence = TupleObject::from_object(ctx, input_sequence);
-
-            let len = input_sequence.len(generator, ctx);
-
-            let result = Int(SizeT).array_alloca(generator, ctx, len.value);
-
-            for i in 0..input_sequence.num_elements() {
-                // Get the i-th element off of the tuple and load it into `result`.
-                let int = input_sequence.index(ctx, i).value.into_int_value();
-                let int = Int(SizeT).s_extend_or_bit_cast(generator, ctx, int);
-
-                result.set_index_const(ctx, i64::try_from(i).unwrap(), int);
-            }
-
-            (len, result)
-        }
-        TypeEnum::TObj { obj_id, .. }
-            if *obj_id == ctx.primitives.int32.obj_id(&ctx.unifier).unwrap() =>
-        {
-            // 3. A scalar int; e.g., `np.empty(3)`, this is functionally equivalent to `np.empty([3])`
-            let input_int = input_sequence.value.into_int_value();
-
-            let len = Int(SizeT).const_1(generator, ctx.ctx);
-            let result = Int(SizeT).array_alloca(generator, ctx, len.value);
-            let int = Int(SizeT).s_extend_or_bit_cast(generator, ctx, input_int);
-
-            // Storing into result[0]
-            result.store(ctx, int);
-
-            (len, result)
-        }
-        _ => panic!(
-            "encountered unknown sequence type: {}",
-            ctx.unifier.stringify(input_sequence.ty)
-        ),
-    }
-}

nac3core/src/codegen/object/tuple.rs

@@ -1,98 +0,0 @@
-use inkwell::values::StructValue;
-use itertools::Itertools;
-
-use super::any::AnyObject;
-use crate::{
-    codegen::{model::*, CodeGenContext, CodeGenerator},
-    typecheck::typedef::{Type, TypeEnum},
-};
-
-/// A NAC3 tuple object.
-///
-/// NOTE: This struct has no copy trait.
-#[derive(Debug, Clone)]
-pub struct TupleObject<'ctx> {
-    /// The type of the tuple.
-    pub tys: Vec<Type>,
-    /// The underlying LLVM struct value of this tuple.
-    pub value: StructValue<'ctx>,
-}
-
-impl<'ctx> TupleObject<'ctx> {
-    pub fn from_object(ctx: &mut CodeGenContext<'ctx, '_>, object: AnyObject<'ctx>) -> Self {
-        // TODO: Keep `is_vararg_ctx` from TTuple?
-
-        // Sanity check on object type.
-        let TypeEnum::TTuple { ty: tys, .. } = &*ctx.unifier.get_ty(object.ty) else {
-            panic!(
-                "Expected type to be a TypeEnum::TTuple, got {}",
-                ctx.unifier.stringify(object.ty)
-            );
-        };
-
-        // Check number of fields
-        let value = object.value.into_struct_value();
-        let value_num_fields = value.get_type().count_fields() as usize;
-        assert!(
-            value_num_fields == tys.len(),
-            "Tuple type has {} item(s), but the LLVM struct value has {} field(s)",
-            tys.len(),
-            value_num_fields
-        );
-
-        TupleObject { tys: tys.clone(), value }
-    }
-
-    /// Convenience function. Create a [`TupleObject`] from an iterator of objects.
-    pub fn from_objects<I, G: CodeGenerator + ?Sized>(
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-        objects: I,
-    ) -> Self
-    where
-        I: IntoIterator<Item = AnyObject<'ctx>>,
-    {
-        let (values, tys): (Vec<_>, Vec<_>) =
-            objects.into_iter().map(|object| (object.value, object.ty)).unzip();
-
-        let llvm_tys = tys.iter().map(|ty| ctx.get_llvm_type(generator, *ty)).collect_vec();
-        let llvm_tuple_ty = ctx.ctx.struct_type(&llvm_tys, false);
-
-        let pllvm_tuple = ctx.builder.build_alloca(llvm_tuple_ty, "tuple").unwrap();
-        for (i, val) in values.into_iter().enumerate() {
-            let pval = ctx.builder.build_struct_gep(pllvm_tuple, i as u32, "value").unwrap();
-            ctx.builder.build_store(pval, val).unwrap();
-        }
-
-        let value = ctx.builder.build_load(pllvm_tuple, "").unwrap().into_struct_value();
-        TupleObject { tys, value }
-    }
-
-    #[must_use]
-    pub fn num_elements(&self) -> usize {
-        self.tys.len()
-    }
-
-    /// Get the `len()` of this tuple.
-    #[must_use]
-    pub fn len<G: CodeGenerator + ?Sized>(
-        &self,
-        generator: &mut G,
-        ctx: &mut CodeGenContext<'ctx, '_>,
-    ) -> Instance<'ctx, Int<SizeT>> {
-        Int(SizeT).const_int(generator, ctx.ctx, self.num_elements() as u64, false)
-    }
-
-    /// Get the `i`-th (0-based) object in this tuple.
-    pub fn index(&self, ctx: &mut CodeGenContext<'ctx, '_>, i: usize) -> AnyObject<'ctx> {
-        assert!(
-            i < self.num_elements(),
-            "Tuple object with length {} have index {i}",
-            self.num_elements()
-        );
-
-        let value = ctx.builder.build_extract_value(self.value, i as u32, "tuple[{i}]").unwrap();
-        let ty = self.tys[i];
-        AnyObject { ty, value }
-    }
-}

nac3core/src/toplevel/composer.rs

@@ -1,6 +1,6 @@
 use std::rc::Rc;
 
-use nac3parser::ast::{fold::Fold, ExprKind};
+use nac3parser::ast::{fold::Fold, ExprKind, Ident};
 
 use super::*;
 use crate::{
@@ -382,32 +382,66 @@ impl TopLevelComposer {
                 ))
             }
 
+            ast::StmtKind::Assign { .. } => {
+                // Assignment statements can assign to (and therefore create) more than one 
+                // variable, but this function only allows returning one set of symbol information.
+                // We want to avoid changing this to return a `Vec` of symbol info, as this would 
+                // require `iter().next().unwrap()` on every variable created from a non-Assign 
+                // statement.
+                //
+                // Make callers use `register_top_level_var` instead, as it provides more
+                // fine-grained control over which symbols to register, while also simplifying the
+                // usage of this function.
+                panic!("Registration of top-level Assign statements must use TopLevelComposer::register_top_level_var (at {})", ast.location);
+            }
+
             ast::StmtKind::AnnAssign { target, annotation, .. } => {
                 let ExprKind::Name { id: name, .. } = target.node else {
                     return Err(format!(
                         "global variable declaration must be an identifier (at {})",
-                        ast.location
+                        target.location
                     ));
                 };
 
-                if self.keyword_list.contains(&name) {
-                    return Err(format!(
-                        "cannot use keyword `{}` as a class name (at {})",
+                self.register_top_level_var(
                     name,
-                        ast.location
-                    ));
+                    Some(annotation.as_ref().clone()),
+                    resolver,
+                    mod_path,
+                    target.location,
+                )
             }
 
-                let global_var_name = if mod_path.is_empty() {
-                    name.to_string()
-                } else {
-                    format!("{mod_path}.{name}")
-                };
-                if !defined_names.insert(global_var_name.clone()) {
-                    return Err(format!(
-                        "global variable `{}` defined twice (at {})",
-                        global_var_name,
+            _ => Err(format!(
+                "registrations of constructs other than top level classes/functions/variables are not supported (at {})",
                 ast.location
+            )),
+        }
+    }
+
+    /// Registers a top-level variable with the given `name` into the composer.
+    ///
+    /// `annotation` - The type annotation of the top-level variable, or [`None`] if no type
+    /// annotation is provided.
+    /// `location` - The location of the top-level variable.
+    pub fn register_top_level_var(
+        &mut self,
+        name: Ident,
+        annotation: Option<Expr>,
+        resolver: Option<Arc<dyn SymbolResolver + Send + Sync>>,
+        mod_path: &str,
+        location: Location,
+    ) -> Result<(StrRef, DefinitionId, Option<Type>), String> {
+        if self.keyword_list.contains(&name) {
+            return Err(format!("cannot use keyword `{name}` as a class name (at {location})"));
+        }
+
+        let global_var_name =
+            if mod_path.is_empty() { name.to_string() } else { format!("{mod_path}.{name}") };
+
+        if !self.defined_names.insert(global_var_name.clone()) {
+            return Err(format!(
+                "global variable `{global_var_name}` defined twice (at {location})"
             ));
         }
 
@@ -418,25 +452,15 @@ impl TopLevelComposer {
                 name,
                 // dummy here, unify with correct type later,
                 ty_to_be_unified,
-                        *(annotation.clone()),
+                annotation,
                 resolver,
-                        Some(ast.location),
-                    )).into(),
+                Some(location),
+            ))
+            .into(),
             None,
         ));
 
-                Ok((
-                    name,
-                    DefinitionId(self.definition_ast_list.len() - 1),
-                    Some(ty_to_be_unified),
-                ))
-            }
-
-            _ => Err(format!(
-                "registrations of constructs other than top level classes/functions/variables are not supported (at {})",
-                ast.location
-            )),
-        }
+        Ok((name, DefinitionId(self.definition_ast_list.len() - 1), Some(ty_to_be_unified)))
     }
 
     pub fn start_analysis(&mut self, inference: bool) -> Result<(), HashSet<String>> {
@@ -485,7 +509,7 @@ impl TopLevelComposer {
                     // things like `class A(Generic[T, V, ImportedModule.T])` is not supported
                     // i.e. only simple names are allowed in the subscript
                     // should update the TopLevelDef::Class.typevars and the TypeEnum::TObj.params
-                    ast::ExprKind::Subscript { value, slice, .. }
+                    ExprKind::Subscript { value, slice, .. }
                         if {
                             matches!(
                                 &value.node,
@@ -501,9 +525,9 @@ impl TopLevelComposer {
                         }
                         is_generic = true;
 
-                        let type_var_list: Vec<&ast::Expr<()>>;
+                        let type_var_list: Vec<&Expr<()>>;
                         // if `class A(Generic[T, V, G])`
-                        if let ast::ExprKind::Tuple { elts, .. } = &slice.node {
+                        if let ExprKind::Tuple { elts, .. } = &slice.node {
                             type_var_list = elts.iter().collect_vec();
                         // `class A(Generic[T])`
                         } else {
@@ -1014,15 +1038,15 @@ impl TopLevelComposer {
                     }
                 }
 
-                let arg_with_default: Vec<(&ast::Located<ast::ArgData<()>>, Option<&ast::Expr>)> =
-                    args.args
+                let arg_with_default: Vec<(&ast::Located<ast::ArgData<()>>, Option<&Expr>)> = args
+                    .args
                     .iter()
                     .rev()
                     .zip(
                         args.defaults
                             .iter()
                             .rev()
-                                .map(|x| -> Option<&ast::Expr> { Some(x) })
+                            .map(|x| -> Option<&Expr> { Some(x) })
                             .chain(std::iter::repeat(None)),
                     )
                     .collect_vec();
@@ -1283,7 +1307,7 @@ impl TopLevelComposer {
 
                         let arg_with_default: Vec<(
                             &ast::Located<ast::ArgData<()>>,
-                            Option<&ast::Expr>,
+                            Option<&Expr>,
                         )> = args
                             .args
                             .iter()
@@ -1292,7 +1316,7 @@ impl TopLevelComposer {
                                 args.defaults
                                     .iter()
                                     .rev()
-                                    .map(|x| -> Option<&ast::Expr> { Some(x) })
+                                    .map(|x| -> Option<&Expr> { Some(x) })
                                     .chain(std::iter::repeat(None)),
                             )
                             .collect_vec();
@@ -1449,7 +1473,7 @@ impl TopLevelComposer {
                         .map_err(|e| HashSet::from([e.to_display(unifier).to_string()]))?;
                 }
                 ast::StmtKind::AnnAssign { target, annotation, value, .. } => {
-                    if let ast::ExprKind::Name { id: attr, .. } = &target.node {
+                    if let ExprKind::Name { id: attr, .. } = &target.node {
                         if defined_fields.insert(attr.to_string()) {
                             let dummy_field_type = unifier.get_dummy_var().ty;
 
@@ -1457,7 +1481,7 @@ impl TopLevelComposer {
                                 None => {
                                     // handle Kernel[T], KernelInvariant[T]
                                     let (annotation, mutable) = match &annotation.node {
-                                        ast::ExprKind::Subscript { value, slice, .. }
+                                        ExprKind::Subscript { value, slice, .. }
                                             if matches!(
                                                 &value.node,
                                                 ast::ExprKind::Name { id, .. } if id == &core_config.kernel_invariant_ann.into()
@@ -1465,7 +1489,7 @@ impl TopLevelComposer {
                                         {
                                             (slice, false)
                                         }
-                                        ast::ExprKind::Subscript { value, slice, .. }
+                                        ExprKind::Subscript { value, slice, .. }
                                             if matches!(
                                                 &value.node,
                                                 ast::ExprKind::Name { id, .. } if core_config.kernel_ann.map_or(false, |c| id == &c.into())
@@ -1483,13 +1507,13 @@ impl TopLevelComposer {
                                 Some(boxed_expr) => {
                                     // Class attributes are set as immutable regardless
                                     let (annotation, _) = match &annotation.node {
-                                        ast::ExprKind::Subscript { slice, .. } => (slice, false),
+                                        ExprKind::Subscript { slice, .. } => (slice, false),
                                         _ if core_config.kernel_ann.is_none() => (annotation, false),
                                         _ => continue,
                                     };
 
                                     match &**boxed_expr {
-                                        ast::Located {location: _, custom: (), node: ast::ExprKind::Constant { value: v, kind: _ }} => {
+                                        ast::Located {location: _, custom: (), node: ExprKind::Constant { value: v, kind: _ }} => {
                                             // Restricting the types allowed to be defined as class attributes
                                             match v {
                                                 ast::Constant::Bool(_) | ast::Constant::Str(_) | ast::Constant::Int(_) | ast::Constant::Float(_) => {}
@@ -1937,20 +1961,20 @@ impl TopLevelComposer {
             if ast.is_none() {
                 return Ok(());
             }
-            let mut function_def = def.write();
-            if let TopLevelDef::Function {
-                instance_to_stmt,
-                instance_to_symbol,
-                name,
-                simple_name,
-                signature,
-                resolver,
-                ..
-            } = &mut *function_def
-            {
-                let signature_ty_enum = unifier.get_ty(*signature);
-                let TypeEnum::TFunc(FunSignature { args, ret, vars, .. }) =
-                    signature_ty_enum.as_ref()
+
+            let (name, simple_name, signature, resolver) = {
+                let function_def = def.read();
+                let TopLevelDef::Function { name, simple_name, signature, resolver, .. } =
+                    &*function_def
+                else {
+                    return Ok(());
+                };
+
+                (name.clone(), *simple_name, *signature, resolver.clone())
+            };
+
+            let signature_ty_enum = unifier.get_ty(signature);
+            let TypeEnum::TFunc(FunSignature { args, ret, vars, .. }) = signature_ty_enum.as_ref()
             else {
                 unreachable!("must be typeenum::tfunc")
             };
@@ -2062,8 +2086,7 @@ impl TopLevelComposer {
                     if self_type.is_some() {
                         result.insert("self".into(), IdentifierInfo::default());
                     }
-                        result
-                            .extend(inst_args.iter().map(|x| (x.name, IdentifierInfo::default())));
+                    result.extend(inst_args.iter().map(|x| (x.name, IdentifierInfo::default())));
                     result
                 };
                 let mut calls: HashMap<CodeLocation, CallId> = HashMap::new();
@@ -2100,33 +2123,43 @@ impl TopLevelComposer {
                 else {
                     unreachable!("must be function def ast")
                 };
-                    if !decorator_list.is_empty()
-                        && matches!(&decorator_list[0].node,
-                            ast::ExprKind::Name{ id, .. } if id == &"extern".into())
-                    {
-                        instance_to_symbol.insert(String::new(), simple_name.to_string());
-                        continue;
-                    }
-                    if !decorator_list.is_empty()
-                        && matches!(&decorator_list[0].node,
-                            ast::ExprKind::Name{ id, .. } if id == &"rpc".into())
-                    {
-                        instance_to_symbol.insert(String::new(), simple_name.to_string());
-                        continue;
-                    }
+
                 if !decorator_list.is_empty() {
-                        if let ast::ExprKind::Call { func, .. } = &decorator_list[0].node {
-                            if matches!(&func.node,
-                                ast::ExprKind::Name{ id, .. } if id == &"rpc".into())
+                    if matches!(&decorator_list[0].node, ExprKind::Name { id, .. } if id == &"extern".into())
                     {
+                        let TopLevelDef::Function { instance_to_symbol, .. } = &mut *def.write()
+                        else {
+                            unreachable!()
+                        };
+                        instance_to_symbol.insert(String::new(), simple_name.to_string());
+                        continue;
+                    }
+
+                    if matches!(&decorator_list[0].node, ExprKind::Name { id, .. } if id == &"rpc".into())
+                    {
+                        let TopLevelDef::Function { instance_to_symbol, .. } = &mut *def.write()
+                        else {
+                            unreachable!()
+                        };
+                        instance_to_symbol.insert(String::new(), simple_name.to_string());
+                        continue;
+                    }
+
+                    if let ExprKind::Call { func, .. } = &decorator_list[0].node {
+                        if matches!(&func.node, ExprKind::Name { id, .. } if id == &"rpc".into()) {
+                            let TopLevelDef::Function { instance_to_symbol, .. } =
+                                &mut *def.write()
+                            else {
+                                unreachable!()
+                            };
                             instance_to_symbol.insert(String::new(), simple_name.to_string());
                             continue;
                         }
                     }
                 }
 
-                    let fun_body = body
-                        .into_iter()
+                let fun_body =
+                    body.into_iter()
                         .map(|b| inferencer.fold_stmt(b))
                         .collect::<Result<Vec<_>, _>>()?;
 
@@ -2196,6 +2229,9 @@ impl TopLevelComposer {
                     )]));
                 }
 
+                let TopLevelDef::Function { instance_to_stmt, .. } = &mut *def.write() else {
+                    unreachable!()
+                };
                 instance_to_stmt.insert(
                     get_subst_key(
                         unifier,
@@ -2211,10 +2247,10 @@ impl TopLevelComposer {
                     },
                 );
             }
-            }
 
             Ok(())
         };
+
         for (id, (def, ast)) in self.definition_ast_list.iter().enumerate().skip(self.builtin_num) {
             if ast.is_none() {
                 continue;
@@ -2237,9 +2273,8 @@ impl TopLevelComposer {
         let primitives_store = &self.primitives_ty;
 
         let mut analyze = |variable_def: &Arc<RwLock<TopLevelDef>>| -> Result<_, HashSet<String>> {
-            let variable_def = &mut *variable_def.write();
-
-            let TopLevelDef::Variable { ty: dummy_ty, ty_decl, resolver, loc, .. } = variable_def
+            let TopLevelDef::Variable { ty: dummy_ty, ty_decl, resolver, loc, .. } =
+                &*variable_def.read()
             else {
                 // not top level variable def, skip
                 return Ok(());
@@ -2247,6 +2282,7 @@ impl TopLevelComposer {
 
             let resolver = &**resolver.as_ref().unwrap();
 
+            if let Some(ty_decl) = ty_decl {
                 let ty_annotation = parse_ast_to_type_annotation_kinds(
                     resolver,
                     &temp_def_list,
@@ -2266,6 +2302,8 @@ impl TopLevelComposer {
                 unifier.unify(*dummy_ty, ty_from_ty_annotation).map_err(|e| {
                     HashSet::from([e.at(Some(loc.unwrap())).to_display(unifier).to_string()])
                 })?;
+            }
+
             Ok(())
         };
 

nac3core/src/toplevel/helper.rs

@@ -600,7 +600,7 @@ impl TopLevelComposer {
         name: String,
         simple_name: StrRef,
         ty: Type,
-        ty_decl: Expr,
+        ty_decl: Option<Expr>,
         resolver: Option<Arc<dyn SymbolResolver + Send + Sync>>,
         loc: Option<Location>,
     ) -> TopLevelDef {
@@ -1136,23 +1136,3 @@ pub fn arraylike_get_ndims(unifier: &mut Unifier, ty: Type) -> u64 {
         _ => 0,
     }
 }
-
-/// Extract an ndarray's `ndims` [type][`Type`] in `u64`. Panic if not possible.
-/// The `ndims` must only contain 1 value.
-#[must_use]
-pub fn extract_ndims(unifier: &Unifier, ndims_ty: Type) -> u64 {
-    let ndims_ty_enum = unifier.get_ty_immutable(ndims_ty);
-    let TypeEnum::TLiteral { values, .. } = &*ndims_ty_enum else {
-        panic!("ndims_ty should be a TLiteral");
-    };
-
-    assert_eq!(values.len(), 1, "ndims_ty TLiteral should only contain 1 value");
-
-    let ndims = values[0].clone();
-    u64::try_from(ndims).unwrap()
-}
-
-/// Return an ndarray's `ndims` as a typechecker [`Type`] from its `u64` value.
-pub fn create_ndims(unifier: &mut Unifier, ndims: u64) -> Type {
-    unifier.get_fresh_literal(vec![SymbolValue::U64(ndims)], None)
-}

nac3core/src/toplevel/mod.rs

@@ -158,8 +158,8 @@ pub enum TopLevelDef {
         /// Type of the global variable.
         ty: Type,
 
-        /// The declared type of the global variable.
-        ty_decl: Expr,
+        /// The declared type of the global variable, or [`None`] if no type annotation is provided.
+        ty_decl: Option<Expr>,
 
         /// Symbol resolver of the module defined the class.
         resolver: Option<Arc<dyn SymbolResolver + Send + Sync>>,

nac3core/src/typecheck/function_check.rs

@@ -10,7 +10,7 @@ use nac3parser::ast::{
 };
 
 use super::{
-    type_inferencer::{IdentifierInfo, Inferencer},
+    type_inferencer::{DeclarationSource, IdentifierInfo, Inferencer},
     typedef::{Type, TypeEnum},
 };
 use crate::toplevel::helper::PrimDef;
@@ -34,6 +34,20 @@ impl<'a> Inferencer<'a> {
                 Err(HashSet::from([format!("cannot assign to a `none` (at {})", pattern.location)]))
             }
             ExprKind::Name { id, .. } => {
+                // If `id` refers to a declared symbol, reject this assignment if it is used in the
+                // context of an (implicit) global variable
+                if let Some(id_info) = defined_identifiers.get(id) {
+                    if matches!(
+                        id_info.source,
+                        DeclarationSource::Global { is_explicit: Some(false) }
+                    ) {
+                        return Err(HashSet::from([format!(
+                            "cannot access local variable '{id}' before it is declared (at {})",
+                            pattern.location
+                        )]));
+                    }
+                }
+
                 if !defined_identifiers.contains_key(id) {
                     defined_identifiers.insert(*id, IdentifierInfo::default());
                 }
@@ -104,7 +118,22 @@ impl<'a> Inferencer<'a> {
                         *id,
                     ) {
                         Ok(_) => {
-                            self.defined_identifiers.insert(*id, IdentifierInfo::default());
+                            let is_global = self.is_id_global(*id);
+
+                            defined_identifiers.insert(
+                                *id,
+                                IdentifierInfo {
+                                    source: match is_global {
+                                        Some(true) => {
+                                            DeclarationSource::Global { is_explicit: Some(false) }
+                                        }
+                                        Some(false) => {
+                                            DeclarationSource::Global { is_explicit: None }
+                                        }
+                                        None => DeclarationSource::Local,
+                                    },
+                                },
+                            );
                         }
                         Err(e) => {
                             return Err(HashSet::from([format!(
@@ -368,9 +397,9 @@ impl<'a> Inferencer<'a> {
             StmtKind::Global { names, .. } => {
                 for id in names {
                     if let Some(id_info) = defined_identifiers.get(id) {
-                        if !id_info.is_global {
+                        if id_info.source == DeclarationSource::Local {
                             return Err(HashSet::from([format!(
-                                "name '{id}' is assigned to before global declaration at {}",
+                                "name '{id}' is referenced prior to global declaration at {}",
                                 stmt.location,
                             )]));
                         }
@@ -385,8 +414,12 @@ impl<'a> Inferencer<'a> {
                         *id,
                     ) {
                         Ok(_) => {
-                            self.defined_identifiers
-                                .insert(*id, IdentifierInfo { is_global: true });
+                            defined_identifiers.insert(
+                                *id,
+                                IdentifierInfo {
+                                    source: DeclarationSource::Global { is_explicit: Some(true) },
+                                },
+                            );
                         }
                         Err(e) => {
                             return Err(HashSet::from([format!(

nac3core/src/typecheck/type_inferencer/mod.rs

@@ -12,7 +12,7 @@ use itertools::{izip, Itertools};
 use nac3parser::ast::{
     self,
     fold::{self, Fold},
-    Arguments, Comprehension, ExprContext, ExprKind, Located, Location, StrRef,
+    Arguments, Comprehension, ExprContext, ExprKind, Ident, Located, Location, StrRef,
 };
 
 use super::{
@@ -88,11 +88,31 @@ impl PrimitiveStore {
     }
 }
 
+/// The location where an identifier declaration refers to.
+#[derive(Clone, Copy, Debug, Eq, PartialEq)]
+pub enum DeclarationSource {
+    /// Local scope.
+    Local,
+
+    /// Global scope.
+    Global {
+        /// Whether the identifier is declared by the use of `global` statement. This field is
+        /// [`None`] if the identifier does not refer to a variable.
+        is_explicit: Option<bool>,
+    },
+}
+
 /// Information regarding a defined identifier.
-#[derive(Clone, Copy, Debug, Default)]
+#[derive(Clone, Copy, Debug)]
 pub struct IdentifierInfo {
     /// Whether this identifier refers to a global variable.
-    pub is_global: bool,
+    pub source: DeclarationSource,
+}
+
+impl Default for IdentifierInfo {
+    fn default() -> Self {
+        IdentifierInfo { source: DeclarationSource::Local }
+    }
 }
 
 impl IdentifierInfo {
@@ -574,7 +594,22 @@ impl<'a> Fold<()> for Inferencer<'a> {
                             *id,
                         ) {
                             Ok(_) => {
-                                self.defined_identifiers.insert(*id, IdentifierInfo::default());
+                                let is_global = self.is_id_global(*id);
+
+                                self.defined_identifiers.insert(
+                                    *id,
+                                    IdentifierInfo {
+                                        source: match is_global {
+                                            Some(true) => DeclarationSource::Global {
+                                                is_explicit: Some(false),
+                                            },
+                                            Some(false) => {
+                                                DeclarationSource::Global { is_explicit: None }
+                                            }
+                                            None => DeclarationSource::Local,
+                                        },
+                                    },
+                                );
                             }
                             Err(e) => {
                                 return report_error(
@@ -2650,4 +2685,22 @@ impl<'a> Inferencer<'a> {
         self.constrain(body.custom.unwrap(), orelse.custom.unwrap(), &body.location)?;
         Ok(body.custom.unwrap())
     }
+
+    /// Determines whether the given `id` refers to a global symbol.
+    ///
+    /// Returns `Some(true)` if `id` refers to a global variable, `Some(false)` if `id` refers to a
+    /// class/function, and `None` if `id` refers to a local symbol.
+    pub(super) fn is_id_global(&self, id: Ident) -> Option<bool> {
+        self.top_level
+            .definitions
+            .read()
+            .iter()
+            .map(|def| match *def.read() {
+                TopLevelDef::Class { name, .. } => (name, false),
+                TopLevelDef::Function { simple_name, .. } => (simple_name, false),
+                TopLevelDef::Variable { simple_name, .. } => (simple_name, true),
+            })
+            .find(|(global, _)| global == &id)
+            .map(|(_, has_explicit_prop)| has_explicit_prop)
+    }
 }

nac3standalone/demo/src/globals.py

@@ -7,7 +7,7 @@ def output_int64(x: int64):
     ...
 
 X: int32 = 0
-Y: int64 = int64(1)
+Y = int64(1)
 
 def f():
     global X, Y

nac3standalone/src/main.rs

@@ -174,46 +174,49 @@ fn handle_typevar_definition(
 fn handle_assignment_pattern(
     targets: &[Expr],
     value: &Expr,
-    resolver: &(dyn SymbolResolver + Send + Sync),
+    resolver: Arc<dyn SymbolResolver + Send + Sync>,
     internal_resolver: &ResolverInternal,
-    def_list: &[Arc<RwLock<TopLevelDef>>],
-    unifier: &mut Unifier,
-    primitives: &PrimitiveStore,
+    composer: &mut TopLevelComposer,
 ) -> Result<(), String> {
     if targets.len() == 1 {
-        match &targets[0].node {
+        let target = &targets[0];
+
+        match &target.node {
             ExprKind::Name { id, .. } => {
+                let def_list = composer.extract_def_list();
+                let unifier = &mut composer.unifier;
+                let primitives = &composer.primitives_ty;
+
                 if let Ok(var) =
-                    handle_typevar_definition(value, resolver, def_list, unifier, primitives)
+                    handle_typevar_definition(value, &*resolver, &def_list, unifier, primitives)
                 {
                     internal_resolver.add_id_type(*id, var);
                     Ok(())
-                } else if let Ok(val) = parse_parameter_default_value(value, resolver) {
+                } else if let Ok(val) = parse_parameter_default_value(value, &*resolver) {
                     internal_resolver.add_module_global(*id, val);
+                    let (name, def_id, _) = composer
+                        .register_top_level_var(
+                            *id,
+                            None,
+                            Some(resolver.clone()),
+                            "__main__",
+                            target.location,
+                        )
+                        .unwrap();
+                    internal_resolver.add_id_def(name, def_id);
                     Ok(())
                 } else {
                     Err(format!("fails to evaluate this expression `{:?}` as a constant or generic parameter at {}",
-                        targets[0].node,
-                        targets[0].location,
+                        target.node,
+                        target.location,
                     ))
                 }
             }
             ExprKind::List { elts, .. } | ExprKind::Tuple { elts, .. } => {
-                handle_assignment_pattern(
-                    elts,
-                    value,
-                    resolver,
-                    internal_resolver,
-                    def_list,
-                    unifier,
-                    primitives,
-                )?;
+                handle_assignment_pattern(elts, value, resolver, internal_resolver, composer)?;
                 Ok(())
             }
-            _ => Err(format!(
-                "assignment to {:?} is not supported at {}",
-                targets[0], targets[0].location
-            )),
+            _ => Err(format!("assignment to {target:?} is not supported at {}", target.location)),
         }
     } else {
         match &value.node {
@@ -223,11 +226,9 @@ fn handle_assignment_pattern(
                         handle_assignment_pattern(
                             std::slice::from_ref(tar),
                             val,
-                            resolver,
+                            resolver.clone(),
                             internal_resolver,
-                            def_list,
-                            unifier,
-                            primitives,
+                            composer,
                         )?;
                     }
                     Ok(())
@@ -248,8 +249,9 @@ fn handle_assignment_pattern(
 fn handle_global_var(
     target: &Expr,
     value: Option<&Expr>,
-    resolver: &(dyn SymbolResolver + Send + Sync),
+    resolver: &Arc<dyn SymbolResolver + Send + Sync>,
     internal_resolver: &ResolverInternal,
+    composer: &mut TopLevelComposer,
 ) -> Result<(), String> {
     let ExprKind::Name { id, .. } = target.node else {
         return Err(format!(
@@ -262,8 +264,12 @@ fn handle_global_var(
         return Err(format!("global variable `{id}` must be initialized in its definition"));
     };
 
-    if let Ok(val) = parse_parameter_default_value(value, resolver) {
+    if let Ok(val) = parse_parameter_default_value(value, &**resolver) {
         internal_resolver.add_module_global(id, val);
+        let (name, def_id, _) = composer
+            .register_top_level_var(id, None, Some(resolver.clone()), "__main__", target.location)
+            .unwrap();
+        internal_resolver.add_id_def(name, def_id);
         Ok(())
     } else {
         Err(format!(
@@ -355,17 +361,12 @@ fn main() {
     for stmt in parser_result {
         match &stmt.node {
             StmtKind::Assign { targets, value, .. } => {
-                let def_list = composer.extract_def_list();
-                let unifier = &mut composer.unifier;
-                let primitives = &composer.primitives_ty;
                 if let Err(err) = handle_assignment_pattern(
                     targets,
                     value,
-                    resolver.as_ref(),
+                    resolver.clone(),
                     internal_resolver.as_ref(),
-                    &def_list,
-                    unifier,
-                    primitives,
+                    &mut composer,
                 ) {
                     panic!("{err}");
                 }
@@ -375,16 +376,12 @@ fn main() {
                 if let Err(err) = handle_global_var(
                     target,
                     value.as_ref().map(Box::as_ref),
-                    resolver.as_ref(),
+                    &resolver,
                     internal_resolver.as_ref(),
+                    &mut composer,
                 ) {
                     panic!("{err}");
                 }
-
-                let (name, def_id, _) = composer
-                    .register_top_level(stmt, Some(resolver.clone()), "__main__", true)
-                    .unwrap();
-                internal_resolver.add_id_def(name, def_id);
             }
 
             // allow (and ignore) "from __future__ import annotations"