refactor(aura-core): split Scalar into a tag-free Cell + ScalarKind
Motivation
----------
`Scalar` was a tagged enum (I64/F64/Bool/Ts), so every scalar value
physically carried its own kind tag. But the kind is already known from
the schema/port/column the value flows through (C7: the type is a
property of the column, not of the value — the hot path is already
columnar `Column<T>`, and `AnyColumn::get` *reconstructs* the tag from
the column on the way out). The per-value tag was therefore redundant
with the kind the surrounding context already holds.
That redundancy had three costs:
* It baked an implicit `match` (a branch) into every function that read
a Scalar payload — even where the caller statically knew the type.
The tag could never be exploited away.
* Size: a tagged enum is tag + payload = 16 bytes (f64/i64 alignment),
twice the 8 bytes the value needs. A `Column<Scalar>` would be double
the memory and half the cache utilisation.
* It is the shared root of several downstream papercuts we keep hitting
— the lossy f64 manifest field, the `unreachable!` panic on a
non-numeric param, the serde-tag question — all symptoms of "the type
is baked into the value".
Change
------
Introduce `Cell`: a type-erased 64-bit word (`struct Cell(u64)`) that is
not readable without external type context. It is constructed per base
type (`from_i64/from_f64/from_bool/from_ts`) and read only by naming the
type at the call site (`i64()/f64()/bool()/ts()`) — each a branch-free
bit-cast. The hot path resolves the kind once at the boundary (from the
schema) and then reads natively, with no per-value branch. `Cell` knows
nothing of `Scalar` or `ScalarKind`; the dependency is strictly one-way,
and it lives in its own `cell.rs` (more is planned on top of it).
`Scalar` becomes `struct { kind: ScalarKind, cell: Cell }` — the
self-describing form for the dynamic boundaries (builder binding,
serialization, rendering), built on top of `Cell`. Its `as_*` accessors
now `debug_assert` the kind and return the native value (free in
release); calling the wrong accessor is a caller bug, not a checked
`Option`. The variant constructors `Scalar::I64(..)` become associated
fns `Scalar::i64(..)`.
`PartialEq` is hand-written (not derived) to preserve the former enum's
value semantics: kinds must match, then native payloads compare, so f64
keeps IEEE-754 behaviour (`NaN != NaN`, `+0.0 == -0.0`) and a kind
mismatch is never equal even when the raw words coincide. A fixture
(`scalar_eq_is_value_not_bitwise`) pins exactly the cases where bit- and
value-equality diverge, so it can't silently regress. `Cell`'s own
`Eq`/`Hash` stay bitwise — correct for a raw word.
The change is behaviour-preserving: Scalar's observable behaviour is
identical to the pre-Cell enum (the value-equality fixture proves it);
only the internal representation changed. The ~440 call sites across the
workspace are a mechanical constructor rename plus ~12 destructuring
sites (match-arms / `let`-patterns) rewritten to `kind()` + `as_*`.
Verified: cargo build --workspace --all-targets, cargo clippy --workspace
--all-targets -- -D warnings, cargo test --workspace — all green.
This commit is contained in:
@@ -37,7 +37,7 @@ impl LinComb {
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/// Panics if `weights` is empty.
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pub fn new(weights: Vec<f64>) -> Self {
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assert!(!weights.is_empty(), "LinComb needs at least one weight");
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Self { weights, out: [Scalar::F64(0.0)] }
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Self { weights, out: [Scalar::f64(0.0)] }
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}
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/// The param-generic recipe for a blueprint primitive. The `arity` is topology
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@@ -54,7 +54,7 @@ impl LinComb {
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"LinComb",
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NodeSchema { inputs, output: vec![FieldSpec { name: "value".into(), kind: ScalarKind::F64 }], params },
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|p| Box::new(LinComb::new(
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p.iter().map(|s| s.as_f64().expect("weight slot is F64")).collect(),
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p.iter().map(|s| s.as_f64()).collect(),
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)),
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)
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}
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@@ -74,7 +74,7 @@ impl Node for LinComb {
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}
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acc += w * w_in[0];
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}
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self.out[0] = Scalar::F64(acc);
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self.out[0] = Scalar::f64(acc);
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Some(&self.out)
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}
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@@ -97,12 +97,12 @@ mod tests {
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];
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// only input 0 present -> None
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inputs[0].push(Scalar::F64(10.0)).unwrap();
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inputs[0].push(Scalar::f64(10.0)).unwrap();
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assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), None);
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// both present -> 0.5*10 + 2.0*3 = 11.0
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inputs[1].push(Scalar::F64(3.0)).unwrap();
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assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::F64(11.0)].as_slice()));
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inputs[1].push(Scalar::f64(3.0)).unwrap();
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assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::f64(11.0)].as_slice()));
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}
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#[test]
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@@ -112,10 +112,10 @@ mod tests {
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AnyColumn::with_capacity(ScalarKind::F64, 1),
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AnyColumn::with_capacity(ScalarKind::F64, 1),
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];
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inputs[0].push(Scalar::F64(7.0)).unwrap();
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inputs[1].push(Scalar::F64(5.0)).unwrap();
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inputs[0].push(Scalar::f64(7.0)).unwrap();
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inputs[1].push(Scalar::f64(5.0)).unwrap();
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// unit weights reproduce Add: 7 + 5
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assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::F64(12.0)].as_slice()));
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assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::f64(12.0)].as_slice()));
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}
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#[test]
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@@ -126,14 +126,14 @@ mod tests {
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AnyColumn::with_capacity(ScalarKind::F64, 1),
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AnyColumn::with_capacity(ScalarKind::F64, 1),
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];
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inputs[0].push(Scalar::F64(1.0)).unwrap();
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inputs[1].push(Scalar::F64(2.0)).unwrap();
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inputs[0].push(Scalar::f64(1.0)).unwrap();
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inputs[1].push(Scalar::f64(2.0)).unwrap();
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// third leg still cold -> None (withheld until every leg is present)
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assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), None);
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inputs[2].push(Scalar::F64(3.0)).unwrap();
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inputs[2].push(Scalar::f64(3.0)).unwrap();
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// all warm -> 1 + 2 + 3
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assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::F64(6.0)].as_slice()));
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assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::f64(6.0)].as_slice()));
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}
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#[test]
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@@ -153,33 +153,33 @@ mod tests {
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fn chained_bind_reconstructs_positional_vector() {
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// bind BOTH weights, in reverse slot order, to DISTINCT values; build empty.
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let builder = LinComb::builder(2)
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.bind("weights[1]", Scalar::F64(2.0))
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.bind("weights[0]", Scalar::F64(0.5));
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.bind("weights[1]", Scalar::f64(2.0))
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.bind("weights[0]", Scalar::f64(0.5));
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assert!(builder.params().is_empty());
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let mut lc = builder.build(&[]);
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let mut inputs = vec![
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AnyColumn::with_capacity(ScalarKind::F64, 1),
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AnyColumn::with_capacity(ScalarKind::F64, 1),
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];
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inputs[0].push(Scalar::F64(10.0)).unwrap();
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inputs[1].push(Scalar::F64(3.0)).unwrap();
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inputs[0].push(Scalar::f64(10.0)).unwrap();
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inputs[1].push(Scalar::f64(3.0)).unwrap();
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// 0.5*10 + 2.0*3 = 11.0 — holds ONLY if each weight landed in its right slot
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// (a swap would give 2.0*10 + 0.5*3 = 21.5)
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assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::F64(11.0)].as_slice()));
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assert_eq!(lc.eval(Ctx::new(&inputs, Timestamp(0))), Some([Scalar::f64(11.0)].as_slice()));
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// partial: bind weights[0], leave weights[1] open → inject it at build
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let partial = LinComb::builder(2).bind("weights[0]", Scalar::F64(0.5));
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let partial = LinComb::builder(2).bind("weights[0]", Scalar::f64(0.5));
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assert_eq!(
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partial.params().iter().map(|p| p.name.as_str()).collect::<Vec<_>>(),
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["weights[1]"],
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);
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let mut lc2 = partial.build(&[Scalar::F64(2.0)]); // weights[1] = 2.0 injected
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let mut lc2 = partial.build(&[Scalar::f64(2.0)]); // weights[1] = 2.0 injected
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let mut inputs2 = vec![
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AnyColumn::with_capacity(ScalarKind::F64, 1),
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AnyColumn::with_capacity(ScalarKind::F64, 1),
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];
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inputs2[0].push(Scalar::F64(10.0)).unwrap();
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inputs2[1].push(Scalar::F64(3.0)).unwrap();
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assert_eq!(lc2.eval(Ctx::new(&inputs2, Timestamp(0))), Some([Scalar::F64(11.0)].as_slice()));
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inputs2[0].push(Scalar::f64(10.0)).unwrap();
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inputs2[1].push(Scalar::f64(3.0)).unwrap();
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assert_eq!(lc2.eval(Ctx::new(&inputs2, Timestamp(0))), Some([Scalar::f64(11.0)].as_slice()));
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}
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}
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