core: ndarray fill generic
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3b87bd36f3
commit
9a82b033b6
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@ -96,6 +96,19 @@ struct NDArray {
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}
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return get_nth_pelement(nth);
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}
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void set_pelement_value(uint8_t* pelement, const uint8_t* pvalue) {
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__builtin_memcpy(pelement, pvalue, itemsize);
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}
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// Fill the ndarray with a value
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void fill_generic(const uint8_t* pvalue) {
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const SizeT size = this->size();
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for (SizeT i = 0; i < size; i++) {
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uint8_t* pelement = get_nth_pelement(i); // No need for checked_get_nth_pelement
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set_pelement_value(pelement, pvalue);
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}
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}
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};
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}
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@ -131,4 +144,12 @@ void __nac3_ndarray_set_strides_by_shape(NDArray<int32_t>* ndarray) {
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void __nac3_ndarray_set_strides_by_shape64(NDArray<int64_t>* ndarray) {
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ndarray->set_strides_by_shape();
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}
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void __nac3_ndarray_fill_generic(NDArray<int32_t>* ndarray, uint8_t* pvalue) {
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ndarray->fill_generic(pvalue);
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}
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void __nac3_ndarray_fill_generic64(NDArray<int64_t>* ndarray, uint8_t* pvalue) {
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ndarray->fill_generic(pvalue);
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}
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}
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@ -1,9 +1,7 @@
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use inkwell::types::IntType;
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use crate::codegen::{
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optics::{
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Address, AddressLens, ArraySlice, FieldBuilder, GepGetter, IntLens, Optic, StructureOptic,
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},
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optics::{Address, AddressLens, ArraySlice, FieldBuilder, GepGetter, IntLens, StructureOptic},
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CodeGenContext,
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};
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@ -41,18 +39,12 @@ pub struct NpArrayFields<'ctx> {
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pub strides: GepGetter<AddressLens<IntLens<'ctx>>>,
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}
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// Note: NpArrayLens's ElementOptic is purely for type-safety and type-guidances
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// The underlying LLVM ndarray doesn't care, it only holds an opaque (uint8_t*) pointer to the elements.
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#[derive(Debug, Clone, Copy)]
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pub struct NpArrayLens<'ctx, ElementOptic> {
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pub struct NpArrayLens<'ctx> {
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pub size_type: IntType<'ctx>,
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pub element_optic: ElementOptic,
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}
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// NDArray is *frequently* used, so here is a type alias
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pub type NpArray<'ctx, ElementOptic> = Address<'ctx, NpArrayLens<'ctx, ElementOptic>>;
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impl<'ctx, ElementOptic: Optic<'ctx>> StructureOptic<'ctx> for NpArrayLens<'ctx, ElementOptic> {
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impl<'ctx> StructureOptic<'ctx> for NpArrayLens<'ctx> {
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type Fields = NpArrayFields<'ctx>;
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fn struct_name(&self) -> &'static str {
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@ -74,7 +66,7 @@ impl<'ctx, ElementOptic: Optic<'ctx>> StructureOptic<'ctx> for NpArrayLens<'ctx,
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}
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// Other convenient utilities for NpArray
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impl<'ctx, ElementOptic: Optic<'ctx>> NpArray<'ctx, ElementOptic> {
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impl<'ctx> Address<'ctx, NpArrayLens<'ctx>> {
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pub fn shape_array(&self, ctx: &CodeGenContext<'ctx, '_>) -> ArraySlice<'ctx, IntLens<'ctx>> {
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let ndims = self.focus(ctx, |fields| &fields.ndims).load(ctx, "ndims");
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let shape_base_ptr = self.focus(ctx, |fields| &fields.shape).load(ctx, "shape");
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@ -1,14 +1,14 @@
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use std::marker::PhantomData;
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use inkwell::{
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types::BasicType,
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types::{BasicType, BasicTypeEnum},
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values::{BasicValueEnum, IntValue},
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};
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use crate::{
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codegen::{
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classes::{ListValue, UntypedArrayLikeAccessor},
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optics::{Address, AddressLens, ArraySlice, IntLens, Ixed, Optic},
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optics::{opaque_address_lens, Address, AddressLens, ArraySlice, IntLens, Ixed, Optic},
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stmt::gen_for_callback_incrementing,
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CodeGenContext, CodeGenerator,
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},
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@ -16,7 +16,7 @@ use crate::{
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};
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use super::{
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classes::{ErrorContextLens, NpArray, NpArrayLens},
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classes::{ErrorContextLens, NpArrayLens},
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new::{
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check_error_context, get_sized_dependent_function_name, prepare_error_context,
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FunctionBuilder,
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@ -176,38 +176,43 @@ where
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}
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}
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pub fn alloca_ndarray<'ctx, G, ElementOptic: Optic<'ctx>>(
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pub fn alloca_ndarray<'ctx, G>(
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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element_optic: ElementOptic,
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elem_type: BasicTypeEnum<'ctx>,
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ndims: IntValue<'ctx>,
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name: &str,
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) -> Result<NpArray<'ctx, ElementOptic>, String>
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) -> Result<Address<'ctx, NpArrayLens<'ctx>>, String>
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where
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G: CodeGenerator + ?Sized,
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{
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let size_type = generator.get_size_type(ctx.ctx);
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let itemsize = element_optic.get_llvm_type(ctx.ctx).size_of().unwrap();
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// Allocate ndarray
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let ndarray_ptr = NpArrayLens { size_type }.alloca(ctx, name);
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// Set ndims
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ndarray_ptr.focus(ctx, |fields| &fields.ndims).store(ctx, &ndims);
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// Set itemsize
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let itemsize = elem_type.size_of().unwrap();
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let itemsize =
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ctx.builder.build_int_s_extend_or_bit_cast(itemsize, size_type, "itemsize").unwrap();
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ndarray_ptr.focus(ctx, |fields| &fields.itemsize).store(ctx, &itemsize);
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let shape = ctx.builder.build_array_alloca(size_type, ndims, "shape").unwrap();
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let strides = ctx.builder.build_array_alloca(size_type, ndims, "strides").unwrap();
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let ndarray = NpArrayLens { size_type, element_optic }.alloca(ctx, name);
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// Set ndims, itemsize; and allocate shape and store on the stack
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ndarray.focus(ctx, |fields| &fields.ndims).store(ctx, &ndims);
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ndarray.focus(ctx, |fields| &fields.itemsize).store(ctx, &itemsize);
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ndarray
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// Allocate and set shape
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let shape_ptr = ctx.builder.build_array_alloca(size_type, ndims, "shape").unwrap();
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ndarray_ptr
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.focus(ctx, |fields| &fields.shape)
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.store(ctx, &Address { addressee_optic: IntLens(size_type), address: shape });
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ndarray
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.focus(ctx, |fields| &fields.strides)
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.store(ctx, &Address { addressee_optic: IntLens(size_type), address: strides });
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.store(ctx, &Address { addressee_optic: IntLens(size_type), address: shape_ptr });
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Ok(ndarray)
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// Allocate and set strides
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let strides_ptr = ctx.builder.build_array_alloca(size_type, ndims, "strides").unwrap();
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ndarray_ptr
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.focus(ctx, |fields| &fields.strides)
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.store(ctx, &Address { addressee_optic: IntLens(size_type), address: strides_ptr });
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Ok(ndarray_ptr)
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}
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enum NDArrayInitMode<'ctx, G: CodeGenerator + ?Sized> {
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@ -217,75 +222,75 @@ enum NDArrayInitMode<'ctx, G: CodeGenerator + ?Sized> {
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}
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/// TODO: DOCUMENT ME
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fn alloca_ndarray_and_init<'ctx, G, ElementOptic: Optic<'ctx>>(
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fn alloca_ndarray_and_init<'ctx, G>(
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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element_optic: ElementOptic,
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elem_type: BasicTypeEnum<'ctx>,
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init_mode: NDArrayInitMode<'ctx, G>,
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name: &str,
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) -> Result<NpArray<'ctx, ElementOptic>, String>
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) -> Result<Address<'ctx, NpArrayLens<'ctx>>, String>
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where
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G: CodeGenerator + ?Sized,
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{
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// It is implemented verbosely in order to make the initialization modes super clear in their intent.
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match init_mode {
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NDArrayInitMode::NDim { ndim: ndims, _phantom } => {
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let ndarray = alloca_ndarray(generator, ctx, element_optic, ndims, name)?;
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let ndarray = alloca_ndarray(generator, ctx, elem_type, ndims, name)?;
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Ok(ndarray)
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}
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NDArrayInitMode::Shape { shape } => {
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let ndims = shape.count;
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let ndarray = alloca_ndarray(generator, ctx, element_optic, ndims, name)?;
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let ndarray_ptr = alloca_ndarray(generator, ctx, elem_type, ndims, name)?;
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// Fill `ndarray.shape`
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(shape.write_to_array)(generator, ctx, &ndarray.shape_array(ctx))?;
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(shape.write_to_array)(generator, ctx, &ndarray_ptr.shape_array(ctx))?;
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// Check if `shape` has bad inputs
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call_nac3_ndarray_util_assert_shape_no_negative(
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generator,
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ctx,
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ndims,
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&ndarray.focus(ctx, |fields| &fields.shape).load(ctx, "shape"),
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&ndarray_ptr.focus(ctx, |fields| &fields.shape).load(ctx, "shape"),
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);
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// NOTE: DO NOT DO `set_strides_by_shape` HERE.
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// Simply this is because we specified that `SetShape` wouldn't do `set_strides_by_shape`
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Ok(ndarray)
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Ok(ndarray_ptr)
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}
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NDArrayInitMode::ShapeAndAllocaData { shape } => {
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let ndims = shape.count;
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let ndarray = alloca_ndarray(generator, ctx, element_optic, ndims, name)?;
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let ndarray_ptr = alloca_ndarray(generator, ctx, elem_type, ndims, name)?;
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// Fill `ndarray.shape`
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(shape.write_to_array)(generator, ctx, &ndarray.shape_array(ctx))?;
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(shape.write_to_array)(generator, ctx, &ndarray_ptr.shape_array(ctx))?;
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// Check if `shape` has bad inputs
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call_nac3_ndarray_util_assert_shape_no_negative(
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generator,
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ctx,
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ndims,
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&ndarray.focus(ctx, |fields| &fields.shape).load(ctx, "shape"),
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&ndarray_ptr.focus(ctx, |fields| &fields.shape).load(ctx, "shape"),
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);
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// Now we populate `ndarray.data` by alloca-ing.
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// But first, we need to know the size of the ndarray to know how many elements to alloca,
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// since calculating nbytes of an ndarray requires `ndarray.shape` to be set.
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let ndarray_nbytes = call_nac3_ndarray_nbytes(generator, ctx, &ndarray);
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let ndarray_nbytes = call_nac3_ndarray_nbytes(generator, ctx, &ndarray_ptr);
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// Alloca `data` and assign it to `ndarray.data`
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let data_ptr =
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ctx.builder.build_array_alloca(ctx.ctx.i8_type(), ndarray_nbytes, "data").unwrap();
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ndarray.focus(ctx, |fields| &fields.data).store(
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ndarray_ptr.focus(ctx, |fields| &fields.data).store(
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ctx,
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&Address { addressee_optic: IntLens::int8(ctx.ctx), address: data_ptr },
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);
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// Finally, do `set_strides_by_shape`
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// Check out https://ajcr.net/stride-guide-part-1/ to see what numpy "strides" are.
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call_nac3_ndarray_set_strides_by_shape(generator, ctx, &ndarray);
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call_nac3_ndarray_set_strides_by_shape(generator, ctx, &ndarray_ptr);
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Ok(ndarray)
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Ok(ndarray_ptr)
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}
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}
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}
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@ -294,7 +299,7 @@ fn call_nac3_ndarray_util_assert_shape_no_negative<'ctx, G: CodeGenerator + ?Siz
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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ndims: IntValue<'ctx>,
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shape: &Address<'ctx, IntLens<'ctx>>,
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shape_ptr: &Address<'ctx, IntLens<'ctx>>,
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) {
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let size_type = generator.get_size_type(ctx.ctx);
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@ -308,19 +313,15 @@ fn call_nac3_ndarray_util_assert_shape_no_negative<'ctx, G: CodeGenerator + ?Siz
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)
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.arg("errctx", &AddressLens(ErrorContextLens), &errctx)
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.arg("ndims", &IntLens(size_type), &ndims)
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.arg("shape", &AddressLens(IntLens(size_type)), shape)
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.arg("shape", &AddressLens(IntLens(size_type)), shape_ptr)
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.returning_void();
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check_error_context(generator, ctx, &errctx);
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}
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fn call_nac3_ndarray_set_strides_by_shape<
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'ctx,
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G: CodeGenerator + ?Sized,
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ElementOptic: Optic<'ctx>,
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>(
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fn call_nac3_ndarray_set_strides_by_shape<'ctx, G: CodeGenerator + ?Sized>(
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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ndarray: &NpArray<'ctx, ElementOptic>,
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ndarray_ptr: &Address<'ctx, NpArrayLens<'ctx>>,
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) {
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let size_type = generator.get_size_type(ctx.ctx);
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@ -331,14 +332,14 @@ fn call_nac3_ndarray_set_strides_by_shape<
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"__nac3_ndarray_util_assert_shape_no_negative",
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),
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)
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.arg("ndarray", &AddressLens(ndarray.addressee_optic.clone()), ndarray)
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.arg("ndarray", &AddressLens(NpArrayLens { size_type }), ndarray_ptr)
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.returning_void();
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}
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fn call_nac3_ndarray_nbytes<'ctx, G: CodeGenerator + ?Sized, ElementOptic: Optic<'ctx>>(
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fn call_nac3_ndarray_nbytes<'ctx, G: CodeGenerator + ?Sized>(
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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ndarray: &NpArray<'ctx, ElementOptic>,
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ndarray_ptr: &Address<'ctx, NpArrayLens<'ctx>>,
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) -> IntValue<'ctx> {
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let size_type = generator.get_size_type(ctx.ctx);
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@ -349,6 +350,23 @@ fn call_nac3_ndarray_nbytes<'ctx, G: CodeGenerator + ?Sized, ElementOptic: Optic
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"__nac3_ndarray_util_assert_shape_no_negative",
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),
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)
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.arg("ndarray", &AddressLens(ndarray.addressee_optic.clone()), ndarray)
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.arg("ndarray", &AddressLens(NpArrayLens { size_type }), ndarray_ptr)
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.returning("nbytes", &IntLens(size_type))
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}
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fn call_nac3_ndarray_fill_generic<'ctx, G: CodeGenerator + ?Sized>(
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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ndarray_ptr: &Address<'ctx, NpArrayLens<'ctx>>,
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fill_value_ptr: &Address<'ctx, IntLens<'ctx>>,
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) {
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let size_type = generator.get_size_type(ctx.ctx);
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FunctionBuilder::begin(
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ctx,
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&get_sized_dependent_function_name(size_type, "__nac3_ndarray_fill_generic"),
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)
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.arg("ndarray", &AddressLens(NpArrayLens { size_type }), ndarray_ptr)
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.arg("pvalue", &opaque_address_lens(ctx.ctx), fill_value_ptr)
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.returning_void();
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}
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@ -50,8 +50,6 @@ pub trait MemorySetter<'ctx>: Optic<'ctx> {
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fn set(&self, ctx: &CodeGenContext<'ctx, '_>, pointer: PointerValue<'ctx>, value: &Self::Value);
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}
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pub trait SizedIntLens<'ctx>: Optic<'ctx, Value = IntValue<'ctx>> {}
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// NOTE: I wanted to make Int8Lens, Int16Lens, Int32Lens, with all
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// having the trait IsIntLens, and implement `impl <S: IsIntLens> Optic<S> for T`,
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// but that clashes with StructureOptic!!
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@ -141,10 +139,9 @@ impl<'ctx, AddresseeOptic> OpticValue<'ctx> for Address<'ctx, AddresseeOptic> {
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#[derive(Debug, Clone)]
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pub struct AddressLens<AddresseeOptic>(pub AddresseeOptic);
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impl<AddresseeOptic> AddressLens<AddresseeOptic> {
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pub fn new_opaque<'ctx>(&self, ctx: &CodeGenContext<'ctx, '_>) -> AddressLens<IntLens<'ctx>> {
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AddressLens(IntLens::int8(ctx.ctx))
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}
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#[must_use]
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pub fn opaque_address_lens(ctx: &Context) -> AddressLens<IntLens<'_>> {
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AddressLens(IntLens::int8(ctx))
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}
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impl<'ctx, AddresseeOptic: Optic<'ctx>> Optic<'ctx> for AddressLens<AddresseeOptic> {
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