91ef69ed7b
Add `RandomBinder`, the by-name sibling to `SweepBinder`, so a random sweep (`RandomSpace`, C12.1) can be built by name against `param_space()` instead of by positional `Vec<ParamRange>` slot order. By-name resolution makes a same-kind transposition (e.g. swapping the I64 ranges for `fast.length` and `slow.length`) structurally impossible — the failure class `RandomSpace::new`'s positional validation passes silently. Direct structural mirror of `SweepBinder`: `Composite::range` opens the binder, `.range(name, ParamRange)` accumulates, `.sweep(count, seed, run)` resolves the named ranges via the shared `resolve_into` (new `resolve_ranges` caller) and runs the disjoint sweep. New `BindError::EmptyRange` mirrors `EmptyAxis`; `ParamRange::is_empty` homes the non-empty invariant the named layer pre-checks so `RandomSpace::new` cannot fail. closes #79
789 lines
31 KiB
Rust
789 lines
31 KiB
Rust
//! Param-sweep (C12.1): enumerate a blueprint's param-space — either a cartesian
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//! `GridSpace` (a discrete per-slot lattice) or a seeded `RandomSpace` (`N` draws
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//! over typed continuous ranges) — and run each point disjointly (C1). Both
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//! enumerations implement the `Space` trait that `sweep` is generic over, so
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//! either runs through one execution path. This module owns enumeration
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//! (`GridSpace` / `RandomSpace` / the `Space` trait), execution (`sweep`), and
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//! collection (`SweepFamily`); the per-point run-to-metrics closure is the
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//! author's (harness-specific sink glue the engine cannot generically own — C8/C18).
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use aura_core::{zip_params, Cell, ParamSpec, Scalar, ScalarKind};
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use crate::RunReport;
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use crate::harness::SplitMix64;
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use std::sync::atomic::{AtomicUsize, Ordering};
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/// A validated cartesian grid over a blueprint's param-space: one discrete
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/// value-list per param slot, in `param_space()` order. Enumerates a family of
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/// points (C12.1 grid axis).
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#[derive(Debug)]
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pub struct GridSpace {
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space: Vec<ParamSpec>,
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axes: Vec<Vec<Cell>>,
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}
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impl GridSpace {
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/// Validate `axes` against `space` (the blueprint's `param_space()`): one
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/// axis per slot (`Arity`), every value the slot's declared kind
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/// (`KindMismatch`), no empty axis (`EmptyAxis`, which would yield zero
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/// points). On success the grid enumerates `∏ |axis_i|` points.
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pub fn new(space: &[ParamSpec], axes: Vec<Vec<Scalar>>) -> Result<Self, SweepError> {
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if axes.len() != space.len() {
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return Err(SweepError::Arity { expected: space.len(), got: axes.len() });
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}
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for (slot, (axis, ps)) in axes.iter().zip(space).enumerate() {
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if axis.is_empty() {
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return Err(SweepError::EmptyAxis { slot });
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}
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for (value_index, v) in axis.iter().enumerate() {
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if v.kind() != ps.kind {
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return Err(SweepError::KindMismatch {
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slot,
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value_index,
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expected: ps.kind,
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got: v.kind(),
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});
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}
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}
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}
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// author edge: the values were just kind-checked above; strip the tag and
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// store the enumerated grid as tag-free cells (the kind now lives once, in
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// `space`).
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let axes = axes.iter().map(|ax| ax.iter().map(|s| s.cell()).collect()).collect();
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Ok(Self { space: space.to_vec(), axes })
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}
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/// The number of grid points (`∏ |axis_i|`), always `>= 1` (a valid grid has
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/// no empty axis; a zero-param grid is the single empty point).
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pub fn len(&self) -> usize {
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self.axes.iter().map(|a| a.len()).product()
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}
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/// Always `false` — a valid `GridSpace` rejects empty axes, so it has at
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/// least one point. Present to satisfy clippy's `len_without_is_empty`.
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pub fn is_empty(&self) -> bool {
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false
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}
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/// The cartesian product, in odometer order: the **last** axis varies
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/// fastest. Deterministic — the same grid yields the same point sequence.
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pub fn points(&self) -> Vec<Vec<Cell>> {
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let mut out = Vec::with_capacity(self.len());
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let mut idx = vec![0usize; self.axes.len()];
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loop {
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out.push(self.axes.iter().zip(&idx).map(|(a, &i)| a[i]).collect());
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// odometer increment from the last axis
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let mut k = self.axes.len();
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loop {
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if k == 0 {
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return out;
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}
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k -= 1;
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idx[k] += 1;
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if idx[k] < self.axes[k].len() {
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break;
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}
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idx[k] = 0;
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}
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}
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}
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/// The param-space (names + kinds) this grid was validated against, retained
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/// for the family to carry — the derived-name source (C23: names, not identity).
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pub fn param_specs(&self) -> &[ParamSpec] {
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&self.space
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}
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}
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/// The enumeration interface `sweep` runs over: a producer of param-space points.
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/// Both `GridSpace` (cartesian product) and `RandomSpace` (seeded draws) implement
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/// it, so the disjoint execution core (`run_indexed`) carries either enumeration
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/// through one path (C1).
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pub trait Space {
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/// The enumerated points, each a tag-free coordinate in `param_specs()` order
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/// (the kind lives once, in `param_specs()`).
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fn points(&self) -> Vec<Vec<Cell>>;
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/// The param-space (names + kinds) the points are coordinates in.
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fn param_specs(&self) -> &[ParamSpec];
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}
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impl Space for GridSpace {
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// `GridSpace::points(self)` is path syntax that selects the *inherent* method
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// (inherent methods win method resolution), so this forward does not recurse;
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// the grid path is behaviour-preserving (C1).
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fn points(&self) -> Vec<Vec<Cell>> {
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GridSpace::points(self)
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}
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fn param_specs(&self) -> &[ParamSpec] {
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GridSpace::param_specs(self)
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}
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}
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/// A structural fault constructing a `GridSpace` or a `RandomSpace` — the shared
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/// typed gate before any run (grid faults: `Arity` / `KindMismatch` / `EmptyAxis`;
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/// random faults: `NonNumericRange` / `RangeKindMismatch` / `EmptyRange`).
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#[derive(Clone, Debug, PartialEq, Eq)]
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pub enum SweepError {
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/// The number of axes does not equal the param-space slot count.
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Arity { expected: usize, got: usize },
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/// A grid value's kind does not match its slot's declared kind. `slot` is the
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/// flat param-space index; `value_index` is the position within that axis.
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KindMismatch { slot: usize, value_index: usize, expected: ScalarKind, got: ScalarKind },
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/// A slot was given no values (would collapse the product to zero points).
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EmptyAxis { slot: usize },
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/// A `RandomSpace` slot's declared kind is not range-sampleable (`I64`/`F64`):
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/// a `Bool` is degenerate, a `Timestamp` is a structural axis (C20).
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NonNumericRange { slot: usize, kind: ScalarKind },
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/// A `ParamRange`'s kind does not match its slot's declared kind.
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RangeKindMismatch { slot: usize, expected: ScalarKind, got: ScalarKind },
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/// A `ParamRange` admits no sampleable value: `lo > hi` for an inclusive I64
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/// range, or `lo >= hi` for a half-open F64 range.
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EmptyRange { slot: usize },
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}
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/// A typed, kind-tagged continuous range for one `RandomSpace` param slot, carried
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/// positional-parallel to the param-space. `lo`/`hi` share a kind by construction;
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/// this is the home for the non-empty-range invariant (validated in
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/// [`RandomSpace::new`]) and, later, a distribution tag.
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#[derive(Clone, Copy, Debug, PartialEq)]
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pub struct ParamRange {
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pub lo: Scalar,
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pub hi: Scalar,
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}
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impl ParamRange {
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/// An inclusive `[lo, hi]` I64 range.
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pub fn i64(lo: i64, hi: i64) -> Self {
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Self { lo: Scalar::i64(lo), hi: Scalar::i64(hi) }
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}
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/// A half-open `[lo, hi)` F64 range.
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pub fn f64(lo: f64, hi: f64) -> Self {
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Self { lo: Scalar::f64(lo), hi: Scalar::f64(hi) }
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}
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/// The kind of this range (`lo`/`hi` share it by construction).
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pub fn kind(&self) -> ScalarKind {
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self.lo.kind()
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}
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/// `true` iff the range admits no value: I64 `lo > hi`, F64 `lo >= hi`. The home
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/// of the non-empty invariant the named binder pre-checks.
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pub fn is_empty(&self) -> bool {
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match self.kind() {
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ScalarKind::I64 => self.lo.as_i64() > self.hi.as_i64(),
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_ => self.lo.as_f64() >= self.hi.as_f64(),
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}
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}
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}
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/// `count` seeded uniform points over per-slot continuous `ranges`, validated
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/// against a blueprint's param-space — the random sibling to `GridSpace` (C12.1).
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/// The points are fully determined by `seed` before any run (C1).
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#[derive(Debug)]
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pub struct RandomSpace {
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space: Vec<ParamSpec>,
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ranges: Vec<ParamRange>,
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count: usize,
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seed: u64,
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}
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impl RandomSpace {
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/// Validate `ranges` against `space` (the blueprint's `param_space()`): one
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/// range per slot (`Arity`); each slot numeric, i.e. `I64`/`F64`
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/// (`NonNumericRange` otherwise); each range's kind == the slot's declared kind
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/// (`RangeKindMismatch`); a non-empty range (`EmptyRange`: I64 `lo > hi`, F64
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/// `lo >= hi`). A `count` of 0 is valid and yields an empty family.
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pub fn new(
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space: &[ParamSpec],
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ranges: Vec<ParamRange>,
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count: usize,
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seed: u64,
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) -> Result<Self, SweepError> {
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if ranges.len() != space.len() {
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return Err(SweepError::Arity { expected: space.len(), got: ranges.len() });
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}
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for (slot, (r, ps)) in ranges.iter().zip(space).enumerate() {
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if !matches!(ps.kind, ScalarKind::I64 | ScalarKind::F64) {
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return Err(SweepError::NonNumericRange { slot, kind: ps.kind });
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}
|
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if r.kind() != ps.kind {
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return Err(SweepError::RangeKindMismatch { slot, expected: ps.kind, got: r.kind() });
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}
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// a range must admit at least one value: I64 [lo,hi] is non-empty iff
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// lo <= hi (lo==hi is the valid single point); F64 [lo,hi) is non-empty
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// iff lo < hi (at lo==hi the half-open interval is empty -> rejected).
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let empty = match ps.kind {
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ScalarKind::I64 => r.lo.as_i64() > r.hi.as_i64(),
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_ => r.lo.as_f64() >= r.hi.as_f64(),
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};
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if empty {
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return Err(SweepError::EmptyRange { slot });
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}
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}
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Ok(Self { space: space.to_vec(), ranges, count, seed })
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}
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/// The number of points this space draws (`count`).
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pub fn len(&self) -> usize {
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self.count
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}
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|
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/// `true` iff `count == 0` (an explicit empty family). Present alongside
|
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/// `len` to satisfy clippy's `len_without_is_empty`.
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pub fn is_empty(&self) -> bool {
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self.count == 0
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}
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}
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impl Space for RandomSpace {
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fn param_specs(&self) -> &[ParamSpec] {
|
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&self.space
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}
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/// `count` points drawn from a single `SplitMix64` seeded with `self.seed`;
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/// per point, each slot is sampled in declared `param_specs()` order (points in
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/// sequence, slots within a point in order). Deterministic: same
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/// `(ranges, count, seed)` => identical points, identical to a re-run (C1).
|
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/// This RNG instance is code-path-disjoint from the data-edge seed RNG (the
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/// #52/#71 World-II firewall): they share only the `u64` type, never a path.
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fn points(&self) -> Vec<Vec<Cell>> {
|
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let mut rng = SplitMix64::new(self.seed);
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(0..self.count)
|
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.map(|_| {
|
||
self.ranges
|
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.iter()
|
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.map(|r| match r.kind() {
|
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// inclusive [lo, hi]; span via i128 then u64 handles a negative lo.
|
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// (Modulo bias for spans not dividing 2^64 is an accepted,
|
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// documented simplification — param search needs no crypto
|
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// uniformity, spec §"Error handling".)
|
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ScalarKind::I64 => {
|
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let (lo, hi) = (r.lo.as_i64(), r.hi.as_i64());
|
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// span is 1..=2^64; the full-width span [i64::MIN, i64::MAX]
|
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// is exactly 2^64 and wraps the u64 counter to 0, so guard it:
|
||
// a 0 span means "any i64", a single raw draw (no modulo).
|
||
let span = (hi as i128 - lo as i128 + 1) as u64;
|
||
let draw = if span == 0 { rng.next_u64() } else { rng.next_u64() % span };
|
||
Cell::from_i64(lo.wrapping_add(draw as i64))
|
||
}
|
||
// half-open [lo, hi)
|
||
ScalarKind::F64 => {
|
||
let (lo, hi) = (r.lo.as_f64(), r.hi.as_f64());
|
||
Cell::from_f64(lo + rng.next_f64() * (hi - lo))
|
||
}
|
||
_ => unreachable!("RandomSpace::new rejects non-numeric ranges"),
|
||
})
|
||
.collect()
|
||
})
|
||
.collect()
|
||
}
|
||
}
|
||
|
||
/// One enumerated point and the full `RunReport` its run produced.
|
||
/// Self-describing: `params` is the point's coordinate in `param_space()` order,
|
||
/// and `report` carries the run's `(manifest, metrics)` — the unit the run
|
||
/// registry indexes (C18).
|
||
#[derive(Clone, Debug, PartialEq)]
|
||
pub struct SweepPoint {
|
||
pub params: Vec<Cell>,
|
||
pub report: RunReport,
|
||
}
|
||
|
||
/// The ordered result family of a sweep — one `SweepPoint` per grid point, in
|
||
/// enumeration (odometer) order, independent of thread completion order.
|
||
#[derive(Clone, Debug, PartialEq)]
|
||
pub struct SweepFamily {
|
||
pub space: Vec<ParamSpec>,
|
||
pub points: Vec<SweepPoint>,
|
||
}
|
||
|
||
impl SweepFamily {
|
||
/// The i-th point's params paired with their names — a derived view over the
|
||
/// carried param-space (reuses [`zip_params`]); no new per-point state.
|
||
pub fn named_params(&self, i: usize) -> Vec<(String, Scalar)> {
|
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zip_params(&self.space, &self.points[i].params)
|
||
}
|
||
}
|
||
|
||
/// Run `run_one` over every point the `space` produces (`Space::points` —
|
||
/// `GridSpace`'s cartesian product or `RandomSpace`'s seeded draws), disjointly
|
||
/// in parallel (C1), and collect the family in enumeration order. `run_one`
|
||
/// builds + bootstraps + runs +
|
||
/// summarizes one point; it shares nothing mutable, so it is `Sync` and the runs
|
||
/// are lock-free. Parallelism is `available_parallelism()` workers — `std` only,
|
||
/// via `std::thread::scope`.
|
||
pub fn sweep<S, F>(space: &S, run_one: F) -> SweepFamily
|
||
where
|
||
S: Space,
|
||
F: Fn(&[Cell]) -> RunReport + Sync,
|
||
{
|
||
let nthreads = std::thread::available_parallelism().map(|n| n.get()).unwrap_or(1);
|
||
sweep_with_threads(space, nthreads, run_one)
|
||
}
|
||
|
||
/// Run `n` disjoint jobs in parallel and collect their results in **job-index
|
||
/// order** — the shared disjoint-parallel core both `sweep` (over grid points)
|
||
/// and `monte_carlo` (over seeds) drive (C1: order is the input order, not the
|
||
/// completion order). Workers pull job indices from a shared atomic cursor
|
||
/// (work-stealing load-balances uneven per-job cost); each tags its result with
|
||
/// the index, and the results are sorted on that index after the scope joins.
|
||
/// Only the cursor is shared; the results side is lock-free. `nthreads` is
|
||
/// clamped to `[1, n.max(1)]` (a 0-job call yields an empty vec; a 0 thread
|
||
/// count coerces to 1).
|
||
pub(crate) fn run_indexed<T, F>(n: usize, nthreads: usize, run_one: F) -> Vec<T>
|
||
where
|
||
T: Send,
|
||
F: Fn(usize) -> T + Sync,
|
||
{
|
||
let nthreads = nthreads.clamp(1, n.max(1));
|
||
let cursor = AtomicUsize::new(0);
|
||
|
||
let mut results: Vec<(usize, T)> = std::thread::scope(|scope| {
|
||
let handles: Vec<_> = (0..nthreads)
|
||
.map(|_| {
|
||
scope.spawn(|| {
|
||
let mut local: Vec<(usize, T)> = Vec::new();
|
||
loop {
|
||
let i = cursor.fetch_add(1, Ordering::Relaxed);
|
||
if i >= n {
|
||
break;
|
||
}
|
||
local.push((i, run_one(i)));
|
||
}
|
||
local
|
||
})
|
||
})
|
||
.collect();
|
||
handles.into_iter().flat_map(|h| h.join().unwrap()).collect()
|
||
});
|
||
|
||
results.sort_by_key(|&(i, _)| i);
|
||
results.into_iter().map(|(_, t)| t).collect()
|
||
}
|
||
|
||
/// The thread-count-explicit core of [`sweep`]. Module-private: the public
|
||
/// `sweep` derives the count, while the tests drive it at 1 and at N to pin
|
||
/// determinism under concurrency (C1). A thin adapter over [`run_indexed`]: it
|
||
/// enumerates the `space`'s param-space points (`Space::points`), runs each
|
||
/// disjointly, and zips the reports back onto their points in enumeration
|
||
/// (odometer) order.
|
||
fn sweep_with_threads<S, F>(space: &S, nthreads: usize, run_one: F) -> SweepFamily
|
||
where
|
||
S: Space,
|
||
F: Fn(&[Cell]) -> RunReport + Sync,
|
||
{
|
||
let points = space.points();
|
||
let reports = run_indexed(points.len(), nthreads, |i| run_one(&points[i]));
|
||
SweepFamily {
|
||
space: space.param_specs().to_vec(),
|
||
points: points
|
||
.into_iter()
|
||
.zip(reports)
|
||
.map(|(params, report)| SweepPoint { params, report })
|
||
.collect(),
|
||
}
|
||
}
|
||
|
||
#[cfg(test)]
|
||
mod tests {
|
||
use super::*;
|
||
use crate::test_fixtures::{composite_sma_cross_harness, synthetic_prices};
|
||
use crate::{f64_field, summarize, RunManifest, VecSource};
|
||
use aura_core::{Cell, ParamSpec, Scalar, ScalarKind, Timestamp};
|
||
|
||
fn i64_space(n: usize) -> Vec<ParamSpec> {
|
||
(0..n)
|
||
.map(|i| ParamSpec { name: format!("p{i}"), kind: ScalarKind::I64 })
|
||
.collect()
|
||
}
|
||
|
||
fn one_i64_space() -> Vec<ParamSpec> {
|
||
vec![ParamSpec { name: "p0".into(), kind: ScalarKind::I64 }]
|
||
}
|
||
|
||
#[test]
|
||
fn random_space_new_arity_mismatch() {
|
||
let space = i64_space(2);
|
||
let err = RandomSpace::new(&space, vec![ParamRange::i64(0, 1)], 10, 0).unwrap_err();
|
||
assert_eq!(err, SweepError::Arity { expected: 2, got: 1 });
|
||
}
|
||
|
||
#[test]
|
||
fn random_space_new_non_numeric_slot() {
|
||
let space = vec![ParamSpec { name: "b".into(), kind: ScalarKind::Bool }];
|
||
let err = RandomSpace::new(&space, vec![ParamRange::i64(0, 1)], 10, 0).unwrap_err();
|
||
assert_eq!(err, SweepError::NonNumericRange { slot: 0, kind: ScalarKind::Bool });
|
||
}
|
||
|
||
#[test]
|
||
fn random_space_new_range_kind_mismatch() {
|
||
let space = one_i64_space();
|
||
let err = RandomSpace::new(&space, vec![ParamRange::f64(0.0, 1.0)], 10, 0).unwrap_err();
|
||
assert_eq!(
|
||
err,
|
||
SweepError::RangeKindMismatch { slot: 0, expected: ScalarKind::I64, got: ScalarKind::F64 },
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn random_space_new_empty_i64_range() {
|
||
// inclusive [lo, hi] is empty iff lo > hi
|
||
let space = one_i64_space();
|
||
let err = RandomSpace::new(&space, vec![ParamRange::i64(5, 4)], 10, 0).unwrap_err();
|
||
assert_eq!(err, SweepError::EmptyRange { slot: 0 });
|
||
}
|
||
|
||
#[test]
|
||
fn random_space_new_empty_f64_range() {
|
||
// half-open [lo, hi) is empty at lo == hi
|
||
let space = vec![ParamSpec { name: "f".into(), kind: ScalarKind::F64 }];
|
||
let err = RandomSpace::new(&space, vec![ParamRange::f64(1.0, 1.0)], 10, 0).unwrap_err();
|
||
assert_eq!(err, SweepError::EmptyRange { slot: 0 });
|
||
}
|
||
|
||
#[test]
|
||
fn random_space_new_accepts_i64_single_point() {
|
||
// inclusive [lo, hi] with lo == hi is the valid single point {lo}
|
||
let space = one_i64_space();
|
||
let rs = RandomSpace::new(&space, vec![ParamRange::i64(7, 7)], 3, 0)
|
||
.expect("lo == hi is a valid single-point I64 range");
|
||
assert_eq!(rs.len(), 3);
|
||
}
|
||
|
||
#[test]
|
||
fn random_space_len_and_is_empty() {
|
||
let space = one_i64_space();
|
||
let rs = RandomSpace::new(&space, vec![ParamRange::i64(0, 10)], 5, 0).unwrap();
|
||
assert_eq!(rs.len(), 5);
|
||
assert!(!rs.is_empty());
|
||
let empty = RandomSpace::new(&space, vec![ParamRange::i64(0, 10)], 0, 0).unwrap();
|
||
assert_eq!(empty.len(), 0);
|
||
assert!(empty.is_empty());
|
||
}
|
||
|
||
#[test]
|
||
fn param_range_constructors_carry_kind() {
|
||
let ri = ParamRange::i64(2, 50);
|
||
assert_eq!(ri.kind(), ScalarKind::I64);
|
||
assert_eq!(ri.lo, Scalar::i64(2));
|
||
assert_eq!(ri.hi, Scalar::i64(50));
|
||
|
||
let rf = ParamRange::f64(0.1, 2.0);
|
||
assert_eq!(rf.kind(), ScalarKind::F64);
|
||
assert_eq!(rf.lo, Scalar::f64(0.1));
|
||
assert_eq!(rf.hi, Scalar::f64(2.0));
|
||
}
|
||
|
||
#[test]
|
||
fn random_points_respect_bounds() {
|
||
let space = vec![
|
||
ParamSpec { name: "i".into(), kind: ScalarKind::I64 },
|
||
ParamSpec { name: "f".into(), kind: ScalarKind::F64 },
|
||
];
|
||
let ranges = vec![ParamRange::i64(2, 50), ParamRange::f64(0.1, 2.0)];
|
||
let rs = RandomSpace::new(&space, ranges, 500, 0xC0FFEE).unwrap();
|
||
let pts = rs.points();
|
||
assert_eq!(pts.len(), 500);
|
||
for p in &pts {
|
||
let i = p[0].i64();
|
||
let f = p[1].f64();
|
||
assert!((2..=50).contains(&i), "I64 inclusive [2,50], got {i}");
|
||
assert!((0.1..2.0).contains(&f), "F64 half-open [0.1,2.0), got {f}");
|
||
}
|
||
}
|
||
|
||
#[test]
|
||
fn random_points_full_range_i64_does_not_panic() {
|
||
// Property: `points()` samples a full-width inclusive I64 range without a
|
||
// divide-by-zero panic. The span [i64::MIN, i64::MAX] is exactly 2^64,
|
||
// which overflows the u64 span counter to 0; the sampler must treat a
|
||
// full-width span as "any i64" rather than `% 0`.
|
||
let space = one_i64_space();
|
||
let rs = RandomSpace::new(
|
||
&space,
|
||
vec![ParamRange::i64(i64::MIN, i64::MAX)],
|
||
64,
|
||
0xABCD,
|
||
)
|
||
.expect("a full-width inclusive I64 range is non-empty");
|
||
let pts = rs.points();
|
||
assert_eq!(pts.len(), 64);
|
||
// every drawn value is a valid i64 (the whole range is admissible); the
|
||
// assertion that matters is that the call above did not panic.
|
||
for p in &pts {
|
||
let _ = p[0].i64();
|
||
}
|
||
}
|
||
|
||
#[test]
|
||
fn random_points_are_deterministic() {
|
||
let space = one_i64_space();
|
||
let mk = || {
|
||
RandomSpace::new(&space, vec![ParamRange::i64(0, 1_000_000)], 100, 42)
|
||
.unwrap()
|
||
.points()
|
||
};
|
||
assert_eq!(mk(), mk(), "same (ranges, count, seed) => identical points");
|
||
}
|
||
|
||
#[test]
|
||
fn random_points_seed_sensitive() {
|
||
let space = one_i64_space();
|
||
let a = RandomSpace::new(&space, vec![ParamRange::i64(0, 1_000_000)], 100, 1)
|
||
.unwrap()
|
||
.points();
|
||
let b = RandomSpace::new(&space, vec![ParamRange::i64(0, 1_000_000)], 100, 2)
|
||
.unwrap()
|
||
.points();
|
||
assert_ne!(a, b, "different seeds => different point sequences");
|
||
}
|
||
|
||
#[test]
|
||
fn random_points_zero_count_is_empty() {
|
||
let space = one_i64_space();
|
||
let rs = RandomSpace::new(&space, vec![ParamRange::i64(0, 10)], 0, 0).unwrap();
|
||
assert!(rs.points().is_empty());
|
||
}
|
||
|
||
#[test]
|
||
fn points_enumerate_in_odometer_order() {
|
||
let space = i64_space(2);
|
||
let grid = GridSpace::new(
|
||
&space,
|
||
vec![
|
||
vec![Scalar::i64(2), Scalar::i64(3)],
|
||
vec![Scalar::i64(4), Scalar::i64(5)],
|
||
],
|
||
)
|
||
.expect("valid grid");
|
||
assert_eq!(
|
||
grid.points(),
|
||
vec![
|
||
vec![Cell::from_i64(2), Cell::from_i64(4)],
|
||
vec![Cell::from_i64(2), Cell::from_i64(5)],
|
||
vec![Cell::from_i64(3), Cell::from_i64(4)],
|
||
vec![Cell::from_i64(3), Cell::from_i64(5)],
|
||
],
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn grid_space_satisfies_space_trait() {
|
||
// A generic helper that can only call the trait surface — proves GridSpace
|
||
// is usable through `Space`, the property `sweep` now relies on.
|
||
fn via_trait<S: Space>(s: &S) -> (Vec<Vec<Cell>>, Vec<ParamSpec>) {
|
||
(s.points(), s.param_specs().to_vec())
|
||
}
|
||
let grid = sma_cross_grid();
|
||
let (pts, specs) = via_trait(&grid);
|
||
// the trait surface forwards to the inherent methods — identical results
|
||
assert_eq!(pts, grid.points());
|
||
assert_eq!(specs, grid.param_specs().to_vec());
|
||
}
|
||
|
||
#[test]
|
||
fn len_is_product_of_axis_lengths() {
|
||
let space = vec![
|
||
ParamSpec { name: "a".into(), kind: ScalarKind::I64 },
|
||
ParamSpec { name: "b".into(), kind: ScalarKind::I64 },
|
||
ParamSpec { name: "c".into(), kind: ScalarKind::F64 },
|
||
];
|
||
let grid = GridSpace::new(
|
||
&space,
|
||
vec![
|
||
vec![Scalar::i64(2), Scalar::i64(3)],
|
||
vec![Scalar::i64(4), Scalar::i64(5)],
|
||
vec![Scalar::f64(0.5)],
|
||
],
|
||
)
|
||
.expect("valid grid");
|
||
assert_eq!(grid.len(), 4);
|
||
assert!(!grid.is_empty());
|
||
}
|
||
|
||
#[test]
|
||
fn arity_mismatch_is_an_error() {
|
||
let space = i64_space(2);
|
||
let err = GridSpace::new(&space, vec![vec![Scalar::i64(2)]]).unwrap_err();
|
||
assert_eq!(err, SweepError::Arity { expected: 2, got: 1 });
|
||
}
|
||
|
||
#[test]
|
||
fn wrong_kind_is_a_kind_mismatch() {
|
||
let space = i64_space(1);
|
||
let err = GridSpace::new(&space, vec![vec![Scalar::f64(1.0)]]).unwrap_err();
|
||
assert_eq!(
|
||
err,
|
||
SweepError::KindMismatch {
|
||
slot: 0,
|
||
value_index: 0,
|
||
expected: ScalarKind::I64,
|
||
got: ScalarKind::F64,
|
||
},
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn empty_axis_is_an_error() {
|
||
let space = i64_space(1);
|
||
let err = GridSpace::new(&space, vec![vec![]]).unwrap_err();
|
||
assert_eq!(err, SweepError::EmptyAxis { slot: 0 });
|
||
}
|
||
|
||
/// Build + bootstrap + run + drain + summarize one grid point into a
|
||
/// `RunReport`. A free `fn` (Copy + Sync) so it serves as the `sweep` closure
|
||
/// AND a direct reference for the "sweep == N independent runs" comparison.
|
||
/// The manifest is a minimal fixed fixture — the metrics are the run's, and
|
||
/// determinism makes `run_point` reproduce a point's report exactly.
|
||
fn run_point(point: &[Cell]) -> RunReport {
|
||
let (bp, rx_eq, rx_ex) = composite_sma_cross_harness();
|
||
let mut h = bp
|
||
.bootstrap_with_cells(point)
|
||
.expect("enumerated grid points are pre-validated by GridSpace::new");
|
||
h.run(vec![Box::new(VecSource::new(synthetic_prices()))]);
|
||
let equity = f64_field(&rx_eq.try_iter().collect::<Vec<_>>(), 0);
|
||
let exposure = f64_field(&rx_ex.try_iter().collect::<Vec<_>>(), 0);
|
||
RunReport {
|
||
manifest: RunManifest {
|
||
commit: "test".to_string(),
|
||
params: Vec::new(),
|
||
window: (Timestamp(0), Timestamp(0)),
|
||
seed: 0,
|
||
broker: "test".to_string(),
|
||
},
|
||
metrics: summarize(&equity, &exposure),
|
||
}
|
||
}
|
||
|
||
fn sma_cross_grid() -> GridSpace {
|
||
let space = composite_sma_cross_harness().0.param_space();
|
||
GridSpace::new(
|
||
&space,
|
||
vec![
|
||
vec![Scalar::i64(2), Scalar::i64(3)], // fast ∈ {2, 3}
|
||
vec![Scalar::i64(4), Scalar::i64(5)], // slow ∈ {4, 5}
|
||
vec![Scalar::f64(0.5)], // scale ∈ {0.5}
|
||
],
|
||
)
|
||
.expect("grid matches the sample param-space")
|
||
}
|
||
|
||
#[test]
|
||
fn sweep_equals_n_independent_runs() {
|
||
let grid = sma_cross_grid();
|
||
let family = sweep(&grid, run_point);
|
||
assert_eq!(family.points.len(), 4);
|
||
// params carried in enumeration (odometer) order, as tag-free cells (the
|
||
// kind lives once, in `family.space`)
|
||
assert_eq!(
|
||
family.points[0].params,
|
||
vec![Cell::from_i64(2), Cell::from_i64(4), Cell::from_f64(0.5)],
|
||
);
|
||
assert_eq!(
|
||
family.points[3].params,
|
||
vec![Cell::from_i64(3), Cell::from_i64(5), Cell::from_f64(0.5)],
|
||
);
|
||
// each point's metrics equal a direct, independent run of the same point:
|
||
// the sweep adds enumeration + execution, never a metrics change (C1).
|
||
for pt in &family.points {
|
||
assert_eq!(pt.report, run_point(&pt.params));
|
||
assert!(pt.report.metrics.total_pips.is_finite());
|
||
}
|
||
}
|
||
|
||
#[test]
|
||
fn sweep_family_carries_param_space() {
|
||
let space = composite_sma_cross_harness().0.param_space();
|
||
let family = sweep(&sma_cross_grid(), run_point);
|
||
assert_eq!(family.space, space);
|
||
}
|
||
|
||
#[test]
|
||
fn family_named_params_round_trips() {
|
||
let space = composite_sma_cross_harness().0.param_space();
|
||
let family = sweep(&sma_cross_grid(), run_point);
|
||
// odometer-first point is [I64(2), I64(4), F64(0.5)]
|
||
let expected: Vec<(String, Scalar)> = space
|
||
.iter()
|
||
.zip(&family.points[0].params)
|
||
.map(|(ps, c)| (ps.name.clone(), Scalar::from_cell(ps.kind, *c)))
|
||
.collect();
|
||
assert_eq!(family.named_params(0), expected);
|
||
assert_eq!(family.named_params(0)[0].1, Scalar::i64(2));
|
||
}
|
||
|
||
#[test]
|
||
fn family_is_deterministic_across_thread_counts() {
|
||
let grid = sma_cross_grid();
|
||
let one = sweep_with_threads(&grid, 1, run_point);
|
||
let many = sweep_with_threads(&grid, 8, run_point);
|
||
// same family at 1 worker and at N (C1: order = enumeration, not completion)
|
||
assert_eq!(one, many);
|
||
// and identical to the public `sweep`, which derives the worker count
|
||
assert_eq!(one, sweep(&grid, run_point));
|
||
}
|
||
|
||
#[test]
|
||
fn distinct_points_produce_distinct_metrics() {
|
||
let family = sweep(&sma_cross_grid(), run_point);
|
||
// not a constant family: differing SMA lengths produce differing equity
|
||
let first = family.points[0].report.metrics.total_pips;
|
||
assert!(
|
||
family.points.iter().any(|p| p.report.metrics.total_pips != first),
|
||
"a 4-point SMA-length grid must not collapse to one metric",
|
||
);
|
||
}
|
||
|
||
fn sma_cross_random() -> RandomSpace {
|
||
let space = composite_sma_cross_harness().0.param_space();
|
||
RandomSpace::new(
|
||
&space,
|
||
vec![
|
||
// integer windows drawn from exactly the grid test's proven domain
|
||
// ({2,3}×{4,5}): all <= the 7-tick fixture length, so the SMAs warm
|
||
// up and metrics are finite & non-degenerate. scale is continuous
|
||
// (a bounded multiplier over a clamped exposure), spanning the grid's
|
||
// 0.5.
|
||
ParamRange::i64(2, 3), // fast ∈ [2, 3]
|
||
ParamRange::i64(4, 5), // slow ∈ [4, 5]
|
||
ParamRange::f64(0.25, 1.5), // scale ∈ [0.25, 1.5)
|
||
],
|
||
8,
|
||
0xABCDEF,
|
||
)
|
||
.expect("ranges match the sample param-space kinds")
|
||
}
|
||
|
||
#[test]
|
||
fn random_sweep_equals_n_independent_runs() {
|
||
let rs = sma_cross_random();
|
||
let family = sweep(&rs, run_point);
|
||
assert_eq!(family.points.len(), 8);
|
||
// each point's metrics equal a direct, independent run of the same point:
|
||
// the random sweep adds enumeration + execution, never a metrics change (C1).
|
||
for pt in &family.points {
|
||
assert_eq!(pt.report, run_point(&pt.params));
|
||
assert!(pt.report.metrics.total_pips.is_finite());
|
||
}
|
||
}
|
||
|
||
#[test]
|
||
fn random_sweep_is_deterministic_across_thread_counts() {
|
||
let rs = sma_cross_random();
|
||
let one = sweep_with_threads(&rs, 1, run_point);
|
||
let many = sweep_with_threads(&rs, 8, run_point);
|
||
// same family at 1 worker and at N (C1: order = enumeration, not completion)
|
||
assert_eq!(one, many);
|
||
assert_eq!(one, sweep(&rs, run_point));
|
||
}
|
||
|
||
#[test]
|
||
fn random_sweep_family_named_view_round_trips() {
|
||
let rs = sma_cross_random();
|
||
let family = sweep(&rs, run_point);
|
||
let space = composite_sma_cross_harness().0.param_space();
|
||
let expected: Vec<(String, Scalar)> = space
|
||
.iter()
|
||
.zip(&family.points[0].params)
|
||
.map(|(ps, c)| (ps.name.clone(), Scalar::from_cell(ps.kind, *c)))
|
||
.collect();
|
||
assert_eq!(family.named_params(0), expected);
|
||
}
|
||
}
|