forked from M-Labs/nac3
core/ndstrides: add NDArrayObject::to_any
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@ -28,7 +28,10 @@ use crate::{
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model::*,
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model::*,
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CodeGenContext, CodeGenerator,
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CodeGenContext, CodeGenerator,
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},
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},
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toplevel::{helper::extract_ndims, numpy::unpack_ndarray_var_tys},
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toplevel::{
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helper::{create_ndims, extract_ndims},
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numpy::{make_ndarray_ty, unpack_ndarray_var_tys},
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},
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typecheck::typedef::{Type, TypeEnum},
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typecheck::typedef::{Type, TypeEnum},
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};
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};
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@ -105,6 +108,18 @@ impl<'ctx> NDArrayObject<'ctx> {
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Int(SizeT).const_int(generator, ctx, self.ndims)
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Int(SizeT).const_int(generator, ctx, self.ndims)
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}
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}
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/// Get the typechecker ndarray type of this [`NDArrayObject`].
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pub fn get_type(&self, ctx: &mut CodeGenContext<'ctx, '_>) -> Type {
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let ndims = create_ndims(&mut ctx.unifier, self.ndims);
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make_ndarray_ty(&mut ctx.unifier, &ctx.primitives, Some(self.dtype), Some(ndims))
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}
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/// Forget that this is an ndarray and convert into an [`AnyObject`].
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pub fn to_any(&self, ctx: &mut CodeGenContext<'ctx, '_>) -> AnyObject<'ctx> {
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let ty = self.get_type(ctx);
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AnyObject { value: self.instance.value.as_basic_value_enum(), ty }
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}
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/// Allocate an ndarray on the stack given its `ndims` and `dtype`.
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/// Allocate an ndarray on the stack given its `ndims` and `dtype`.
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///
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///
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/// `shape` and `strides` will be automatically allocated onto the stack.
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/// `shape` and `strides` will be automatically allocated onto the stack.
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