core/ndstrides: implement unary op
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@ -1769,14 +1769,12 @@ pub fn gen_unaryop_expr_with_values<'ctx, G: CodeGenerator>(
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_ => val.into(),
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}
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} else if ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) {
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let llvm_usize = generator.get_size_type(ctx.ctx);
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let (ndarray_dtype, _) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
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let val = NDArrayValue::from_ptr_val(val.into_pointer_value(), llvm_usize, None);
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let ndarray = AnyObject { value: val, ty };
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let ndarray = NDArrayObject::from_object(generator, ctx, ndarray);
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// ndarray uses `~` rather than `not` to perform elementwise inversion, convert it before
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// passing it to the elementwise codegen function
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let op = if ndarray_dtype.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::Bool.id()) {
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let op = if ndarray.dtype.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::Bool.id()) {
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if op == ast::Unaryop::Invert {
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ast::Unaryop::Not
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} else {
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@ -1790,20 +1788,18 @@ pub fn gen_unaryop_expr_with_values<'ctx, G: CodeGenerator>(
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op
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};
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let res = numpy::ndarray_elementwise_unaryop_impl(
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let mapped_ndarray = ndarray.map(
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generator,
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ctx,
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ndarray_dtype,
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None,
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val,
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|generator, ctx, val| {
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gen_unaryop_expr_with_values(generator, ctx, op, (&Some(ndarray_dtype), val))?
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NDArrayOut::NewNDArray { dtype: ndarray.dtype },
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|generator, ctx, scalar| {
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gen_unaryop_expr_with_values(generator, ctx, op, (&Some(ndarray.dtype), scalar))?
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.unwrap()
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.to_basic_value_enum(ctx, generator, ndarray_dtype)
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.to_basic_value_enum(ctx, generator, ndarray.dtype)
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},
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)?;
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res.as_base_value().into()
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ValueEnum::Dynamic(mapped_ndarray.instance.value.as_basic_value_enum())
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} else {
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unimplemented!()
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}))
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