feat: Specialize pipeline types for performance
Introduces type specialization for reactive pipeline nodes and their data buffers. This eliminates the overhead of generic `Value` enums and `SharedValueSeries` when dealing with known scalar or record types. The architecture shifts buffer instantiation from the VM to the runtime (RTL), leveraging type information from the AST. A new `out_type` field is added to `BoundKind::Pipe` to store the static type of the pipeline's output, determined by the type checker. This enables the creation of specialized `RingBuffer<T>` and `SharedRecordSeries` (for Struct-of-Arrays layout) when the output type is known, significantly improving memory usage and processing speed for time-series data, especially in financial analysis.
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@@ -48,7 +48,7 @@ impl TCO {
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args: Box::new(Self::transform(Rc::new((**args).clone()), false)),
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}
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}
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BoundKind::Pipe { inputs, lambda } => {
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BoundKind::Pipe { inputs, lambda, out_type } => {
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let mut t_inputs = Vec::with_capacity(inputs.len());
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for input in inputs {
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t_inputs.push(Self::transform(Rc::new(input.clone()), false));
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@@ -56,6 +56,7 @@ impl TCO {
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BoundKind::Pipe {
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inputs: t_inputs,
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lambda: Box::new(Self::transform(Rc::new((**lambda).clone()), false)),
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out_type: out_type.clone(),
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}
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}
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