forked from M-Labs/nac3
core/ndstrides: implement ndarray subscript assignment
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@ -2,6 +2,12 @@ use super::{
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super::symbol_resolver::ValueEnum,
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expr::destructure_range,
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irrt::{handle_slice_indices, list_slice_assignment},
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object::{
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any::AnyObject,
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ndarray::{
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indexing::util::gen_ndarray_subscript_ndindices, NDArrayObject, ScalarOrNDArray,
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},
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},
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CodeGenContext, CodeGenerator,
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};
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use crate::{
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@ -401,7 +407,47 @@ pub fn gen_setitem<'ctx, G: CodeGenerator>(
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if *obj_id == ctx.primitives.ndarray.obj_id(&ctx.unifier).unwrap() =>
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{
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// Handle NDArray item assignment
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todo!("ndarray subscript assignment is not yet implemented");
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// Process target
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let target = generator
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.gen_expr(ctx, target)?
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.unwrap()
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.to_basic_value_enum(ctx, generator, target_ty)?;
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let target = AnyObject { value: target, ty: target_ty };
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// Process key
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let key = gen_ndarray_subscript_ndindices(generator, ctx, key)?;
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// Process value
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let value = value.to_basic_value_enum(ctx, generator, value_ty)?;
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let value = AnyObject { value, ty: value_ty };
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/*
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Reference code:
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```python
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target = target[key]
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value = np.asarray(value)
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shape = np.broadcast_shape((target, value))
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target = np.broadcast_to(target, shape)
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value = np.broadcast_to(value, shape)
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...and finally copy 1-1 from value to target.
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```
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*/
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let target = NDArrayObject::from_object(generator, ctx, target);
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let target = target.index(generator, ctx, &key);
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let value =
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ScalarOrNDArray::split_object(generator, ctx, value).to_ndarray(generator, ctx);
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let broadcast_result = NDArrayObject::broadcast(generator, ctx, &[target, value]);
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let target = broadcast_result.ndarrays[0];
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let value = broadcast_result.ndarrays[1];
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target.copy_data_from(generator, ctx, value);
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}
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_ => {
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panic!("encountered unknown target type: {}", ctx.unifier.stringify(target_ty));
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