nac3artiq/src/codegen.rs

@@ -23,6 +23,7 @@ use pyo3::{
 
 use crate::{symbol_resolver::InnerResolver, timeline::TimeFns};
 
+use nac3core::toplevel::numpy::unpack_ndarray_var_tys;
 use std::{
     collections::hash_map::DefaultHasher,
     collections::HashMap,
@@ -397,6 +398,27 @@ fn gen_rpc_tag(
                 buffer.push(b'l');
                 gen_rpc_tag(ctx, *ty, buffer)?;
             }
+            TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
+                let (ndarray_dtype, ndarray_ndims) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
+                let ndarray_ndims = if let TLiteral { values, .. } =
+                    &*ctx.unifier.get_ty_immutable(ndarray_ndims)
+                {
+                    if values.len() != 1 {
+                        return Err(format!("NDArray types with multiple literal bounds for ndims is not supported: {}", ctx.unifier.stringify(ty)));
+                    }
+
+                    let value = values[0].clone();
+                    u64::try_from(value.clone())
+                        .map_err(|()| format!("Expected u64 for ndarray.ndims, got {value}"))?
+                } else {
+                    unreachable!()
+                };
+                assert!((0u64..=u64::from(u8::MAX)).contains(&ndarray_ndims));
+
+                buffer.push(b'a');
+                buffer.push((ndarray_ndims & 0xFF) as u8);
+                gen_rpc_tag(ctx, ndarray_dtype, buffer)?;
+            }
             _ => return Err(format!("Unsupported type: {:?}", ctx.unifier.stringify(ty))),
         }
     }