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Replace 30 scaffolds + 5 sorries with genuine proofs (Groups A–C, E, F, H)
Per the proof-completion brief, this lands 30 of 38 items: full build green, all proofs axiom-clean ([propext, Classical.choice, Quot.sound]), no new sorries, scaffold count 32 → 7, sorry count 5 → 0, spec-item coverage 94.9 % → 99.5 %. Composition / Phase 8 — keystone done (Groups A + B + C, 15 items) New `FdrsFormal/Composition/RoutingGraph/Graph.lean` builds `G_ρ` on vertices `ℕ × ℕ = (timeline, cylinder)` from `Verification.RoutingSpecification`'s rule list, with `depthIter` longest-path relaxation (bounded by `depthIter_le`) and decidable `Reaches` / `Acyclic` / `DeadlockFree` / `BoundedFanout` / `BoundedDepth`. Wired throughout Phase 8: - `routingDepth` + `finiteRoutingDepth` (Def 121 / Prop 108) - `localTimelineCost`, `routingOverheadCost` (Def 122 / 123, parametric) - `compositeTimingBound` (Thm 53, main result) — proved as `Σ path cost ≤ Σ_{k≤D} layerMax` under the acyclic-layering hypothesis `Pairwise (· < ·)` on the route's depths - `staticRoutingCompileTimeBound` (Cor 29, computable bound) - `multicastFanout`, `synchronizationSourceCount` - all five `*_decidable` of Prop 109 + `deadlockFree_iff_acyclic` (Thm 52) - `fdrs_schedulable` (no graph needed; uses existing `isFeasible`) - `undeliveredResidue`, `residualPayload`, `residualPayload_as_junction_sum` (Thm 57), `residual_is_in_flight_information` Phase 8 is now 51/51 proven, 0 scaffold. VariableRadix Design — Group E (9 items) `Modes/VariableRadix/Design/*.lean` — every example carries a concrete radix-law witness plus a real ∃-property (no `True` conjuncts). Two of them prove actual `prefixWeight` growth: - `exponentialGrowthRadix c hc` — `ω ≡ c` with proved `β_ω(s) = c ^ |s|` - `factorialGrowthRadix` — `ω(s) = |s| + 2` with proved `β_ω(s) = (|s| + 1)!` (note: the spec's `|s|+1` gives `ω([])=1` which violates `RadixLaw`'s `≥ 2` constraint) - `polynomialGrowthRadix α hα` — variable-radix regime; an exact `β_ω ~ |s|^α` is unattainable under `ω ≥ 2` since `β_ω ≥ 2^|s|`, stated honestly in the docstring - `ultrametricDesignProblem`, `optimalDesign`, `contextDependentRadix`, `dnaCodonUltrametric`, `cacheOptimizedRadix`, `volumeToPrescribedRadix` Haar wavelet packets — Group H (5 sorries → 0) `FunctionSpaces/Haar/WaveletPacket.lean` — all five sorries resolved via a closed-form factorization of the packet basis: - `tailProduct_zero_eq_prod` via new helper `tailProduct_eq_prod_Ico` (note `Finset.Ico_zero_eq_range` doesn't exist; use `← range_eq_Ico`) - `fromDepthBound_full` / `fromDepthBound_leaf_count` via well-founded recursion on `k + 1 - L` and `dif_pos`/`dif_neg` - new `pCompAt` (per-position factor) and `basisEval_eq_prod` (closed form, induction on `T` with `Finset.mul_prod_erase` peeling position `⟨M, hM1⟩` at each split) - `packetBasis_norm_sq` via `Fintype.prod_sum` + `haarComponent_inner` - `packetBasis_orthogonal` via `Fintype.prod_sum` + first-difference position lemma `firstDiffMode_gen` (common path forces same split-vs-Haar mode at the first-difference position) + `Finset.prod_eq_zero` The Haar module is now part of the default build (`FdrsFormal/FunctionSpaces.lean` imports `Haar`), bringing 7 modules out of the excluded set. MultiMetric — Group F (1 item) `Modes/VariableRadix/MultiMetric/Residual.lean` — Theorem 42 (residual as metric discrepancy). New `residualPayload` parametric in state evolution `τ : ℕ → α`, projection `π_B : α → β`, and the two metrics; the named theorem `residualAsMetricDiscrepancy` proves the existential form, and a genuine companion `residualPayload_eq_zero_of_eq` shows payload vanishes whenever the intrinsic and pullback distances agree (via `div_self` / `Real.log_one` for the nonzero case, `zero_div` / `Real.log_zero` for the degenerate one). Verification - `lake build` green (3647 jobs, up from 3640 — `Haar` now included). - `#print axioms` on every new declaration shows only the standard `[propext, Classical.choice, Quot.sound]` subset; no `sorryAx`, `Lean.ofReduceBool`, or `native_decide`. - `python3 scripts/fdrs-summary --check`: 0 sorries, 0 axioms, 7 scaffolds (down from 32 at the brief's start), index consistent with live code (`data/fdrs-index.yaml`, `docs/fdrs-index.md` regenerated via `scripts/fdrs_index.py` + `fdrs-summary --spec-index`). Remaining scaffolds: Group D (Theorem B realizability, 3), G (Lᵖ convergence, 1), I (`touchComplexity`, `circuitDepth`, 2), J (`valuationFiltration_monotone`, 1) + the unflagged `:= Unit` type stub on `multiplicativeSigmaAlgebra`.
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FdrsFormal/Composition.lean

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@@ -42,6 +42,7 @@ import FdrsFormal.Composition.TimelineGraphs.Identifiers
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import FdrsFormal.Composition.Routing.Definition
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import FdrsFormal.Composition.Routing.Events
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import FdrsFormal.Composition.DeadlockAnalysis.Definition
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import FdrsFormal.Composition.RoutingGraph.Graph
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import FdrsFormal.Composition.TimingBounds.Definition
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import FdrsFormal.Composition.TimingBounds.RoutingAnalysis
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FdrsFormal/Composition/ObserverIntegration/ResidualPayload.lean

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import FdrsFormal.Composition.ObserverIntegration.RoutedObserver
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import FdrsFormal.Composition.Injection.Queue
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import FdrsFormal.Composition.Verification.Specification
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namespace FdrsFormal.Composition.ObserverIntegration
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open Injection
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open FdrsFormal.Composition.Verification
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/-!
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## Residual Payload Characterization
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-/
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/--
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Undelivered residue at a junction at time t.
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Undelivered residue at an A→B junction at time `t`.
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**fdrs.md line 6451**: Residue generated by A but not yet processed by B.
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**Axiomatized**: Requires junction state tracking.
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**fdrs.md line 6451**: residue generated by A at cylinder `s_A` but not yet
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processed by B. Parametric in the junction-queue state `residue`, which reports
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the outstanding residue at junction `(sourceTimeline, sourceCylinder) →
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targetTimeline` at time `t`.
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-/
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def undeliveredResidue_placeholder (_sourceTimeline _sourceCylinder _targetTimeline : ℕ) (_time : ℕ) : ℕ := 0
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def undeliveredResidue (residue : ℕ → ℕ → ℕ → ℕ → ℕ)
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(sourceTimeline sourceCylinder targetTimeline time : ℕ) : ℕ :=
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residue sourceTimeline sourceCylinder targetTimeline time
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/-- The A→B junctions of `G_ρ`: routing rules from timeline `A` to timeline `B`. -/
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def aToBJunctions (spec : RoutingSpecification) (sourceTimeline targetTimeline : ℕ) :
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List RoutingRule :=
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spec.rules.filter (fun r =>
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decide (r.sourceTimeline = sourceTimeline ∧ r.targetTimeline = targetTimeline))
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/--
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Residual payload as sum over junctions.
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Total in-flight payload from A to B at time `t` — Theorem 57's right-hand side:
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the accumulation of undelivered residue over all A→B junctions.
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-/
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def residualPayload (spec : RoutingSpecification) (residue : ℕ → ℕ → ℕ → ℕ → ℕ)
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(sourceTimeline targetTimeline time : ℕ) : ℕ :=
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((aToBJunctions spec sourceTimeline targetTimeline).map
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(fun r => undeliveredResidue residue r.sourceTimeline r.sourceCylinder
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r.targetTimeline time)).sum
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**fdrs.md Theorem 57 (lines 6448-6456)**: Total in-flight information.
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/--
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**fdrs.md**: Theorem 57 (Residual payload as junction accumulation) [§8.9 · Phase 8] (lines 6448-6456)
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**Proof sketch (fdrs.md lines 6453-6455)**:
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- Payload exists when A overflows to B but injection queue not yet processed
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- Each junction contributes its undelivered residue
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- Total = sum over all A-to-B junctions
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The residual payload from A to B is exactly the accumulation of undelivered
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residue over all A→B junctions:
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`payload_{A→B}(t) = Σ_{(A,s_A,B,s_B) ∈ 𝒥} undelivered(A, s_A, t)`.
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**Axiomatized**: Requires junction set enumeration and queue state.
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Payload exists precisely when A has overflowed to B but B's injection queue has
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not yet processed it; summing over all A→B junctions gives the total in flight.
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-/
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theorem residualPayload_as_junction_sum_placeholder (_sourceTimeline _targetTimeline _time : ℕ) :
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∃ payload : ℕ, True := ⟨0, trivial⟩
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theorem residualPayload_as_junction_sum (spec : RoutingSpecification)
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(residue : ℕ → ℕ → ℕ → ℕ → ℕ) (sourceTimeline targetTimeline time : ℕ) :
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residualPayload spec residue sourceTimeline targetTimeline time
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= ((aToBJunctions spec sourceTimeline targetTimeline).map
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(fun r => undeliveredResidue residue r.sourceTimeline r.sourceCylinder
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r.targetTimeline time)).sum :=
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rfl
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/--
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Residual represents in-flight information: total undelivered residue is zero
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when no junctions are active (all information has been delivered).
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Residual represents in-flight information: when the junction-queue state is
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everywhere clear, the total residual payload is zero — all information has been
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delivered.
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**fdrs.md line 6457**: Payload = information between timelines.
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**fdrs.md line 6457**: Payload = information in flight between timelines.
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-/
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def residual_is_in_flight_information : Prop :=
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∀ source target time, undeliveredResidue_placeholder source 0 target time = 0
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/-- In the stub model, all residue is trivially zero (no actual injection). -/
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theorem residual_is_in_flight_information_holds : residual_is_in_flight_information :=
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fun _ _ _ => rfl
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theorem residual_is_in_flight_information (spec : RoutingSpecification)
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(residue : ℕ → ℕ → ℕ → ℕ → ℕ) (sourceTimeline targetTimeline time : ℕ)
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(hclear : ∀ a b c d, residue a b c d = 0) :
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residualPayload spec residue sourceTimeline targetTimeline time = 0 := by
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simp [residualPayload, undeliveredResidue, hclear]
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end FdrsFormal.Composition.ObserverIntegration
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/-
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Copyright 2026 Hyphaeic SPC.
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Licensed under the Hyphaeic Public License, Version 1.0 (the
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"License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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https://github.com/hyphaeic/hpl
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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implied. See the License for the specific language governing
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permissions and limitations under the License.
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# The Routing Graph `G_ρ`
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The routing dependency graph induced by a `RoutingSpecification`, together with
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the finite-DAG longest-path and reachability machinery used throughout Phase 8
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(timing bounds, compile-time verification, synchronization).
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## Mathematical Content (fdrs.md lines 6110-6167)
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**Definition 119** (Routing dependency graph): vertices are junction points
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`(T, s)`; an edge `(A, s_A) → (B, s_B)` exists when some routing rule sends A's
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overflow at `s_A` to B at `s_B`.
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**Definition 120** (Acyclic routing): `G_ρ` is a DAG.
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**Definition 121** (Routing depth): the longest source→`(T, s)` path length.
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**Proposition 108** (Finite routing depth): on a finite graph the depth is bounded.
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Vertices are modelled as `ℕ × ℕ = (timeline id, cylinder code)`, matching the
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`RoutingRule` encoding (and the `ℕ × ℕ` vertex type already used by the
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reachability decision API in `Verification/CompileTime.lean`). Because a
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specification carries a *finite* `List` of rules, every quantity here is
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computable and every graph property is decidable.
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## References
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- fdrs.md, Phase 8, §8.4 (lines 6110-6167)
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-/
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import FdrsFormal.Composition.Verification.Specification
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import Mathlib.Data.List.Dedup
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namespace FdrsFormal.Composition.RoutingGraph
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open FdrsFormal.Composition.Verification
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/-! ## Vertices and edges -/
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/-- A vertex of `G_ρ`: a junction point `(timeline, cylinder code)`. -/
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abbrev Vertex := ℕ × ℕ
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/-- Source endpoint `(A, s_A)` of a routing rule. -/
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def ruleSrc (r : RoutingRule) : Vertex := (r.sourceTimeline, r.sourceCylinder)
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/-- Target endpoint `(B, s_B)` of a routing rule. -/
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def ruleTgt (r : RoutingRule) : Vertex := (r.targetTimeline, r.targetCylinder)
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/--
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**fdrs.md Definition 119**: the vertex set `V` of `G_ρ`.
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All junction points mentioned by the specification (as a source or a target),
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deduplicated.
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-/
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def vertices (spec : RoutingSpecification) : List Vertex :=
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((spec.rules.map ruleSrc) ++ (spec.rules.map ruleTgt)).dedup
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/--
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Out-neighbours of `u`: the target of every rule whose source is `u`.
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One entry per matching rule, so `(successors spec u).length` is the routing
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action multiplicity `|ρ(A, s_A, _, _)|` (Definition 123 / 128).
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-/
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def successors (spec : RoutingSpecification) (u : Vertex) : List Vertex :=
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(spec.rules.filter (fun r => decide (ruleSrc r = u))).map ruleTgt
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/--
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In-neighbours of `v`: the source of every rule whose target is `v`.
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This is the multiset of incoming edges `{(A, s_A) : ((A, s_A), v) ∈ E}` used by
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Definition 121 (routing depth) and Definition 129 (synchronization point).
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-/
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def predecessors (spec : RoutingSpecification) (v : Vertex) : List Vertex :=
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(spec.rules.filter (fun r => decide (ruleTgt r = v))).map ruleSrc
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/--
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**fdrs.md Definition 123/128**: fanout `|ρ(A, s_A, _, _)|`, the number of
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routing actions out of `u`.
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-/
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def fanout (spec : RoutingSpecification) (u : Vertex) : ℕ := (successors spec u).length
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/-! ## Routing depth (Definition 121) via DAG longest path -/
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/-- `(l.map f).foldr max 0` is bounded by `b` when every `f x` is. -/
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private theorem foldr_max_le {α : Type*} (f : α → ℕ) (b : ℕ) :
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∀ (l : List α), (∀ x ∈ l, f x ≤ b) → (l.map f).foldr max 0 ≤ b := by
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intro l
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induction l with
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| nil => intro _; exact Nat.zero_le b
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| cons x xs ih =>
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intro h
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simp only [List.map_cons, List.foldr_cons]
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exact max_le (h x (by simp)) (ih (fun y hy => h y (by simp [hy])))
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/--
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One longest-path relaxation pass.
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A source (no predecessors) has depth `0`; otherwise depth is `1 +` the maximum
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predecessor depth under the current estimate `d`.
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-/
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def depthStep (spec : RoutingSpecification) (d : Vertex → ℕ) (v : Vertex) : ℕ :=
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if (predecessors spec v).isEmpty then 0
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else 1 + ((predecessors spec v).map d).foldr max 0
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/--
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Iterate `depthStep` `n` times starting from the all-zero estimate.
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On a finite DAG, `n = |V|` passes converge to the true longest-path length
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(Definition 121); on any graph the result is bounded by `n` (`depthIter_le`).
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-/
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def depthIter (spec : RoutingSpecification) : ℕ → (Vertex → ℕ)
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| 0 => fun _ => 0
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| n + 1 => fun v => depthStep spec (depthIter spec n) v
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/-- After `b`-bounded predecessor estimates, one relaxation pass stays `≤ b + 1`. -/
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private theorem depthStep_le (spec : RoutingSpecification) (d : Vertex → ℕ) (v : Vertex)
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(b : ℕ) (h : ∀ u ∈ predecessors spec v, d u ≤ b) : depthStep spec d v ≤ b + 1 := by
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unfold depthStep
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split
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· exact Nat.zero_le _
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· have hb : ((predecessors spec v).map d).foldr max 0 ≤ b := foldr_max_le d b _ h
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omega
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/-- Each relaxation pass adds at most one, so `n` passes stay `≤ n`. -/
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theorem depthIter_le (spec : RoutingSpecification) :
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∀ (n : ℕ) (v : Vertex), depthIter spec n v ≤ n := by
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intro n
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induction n with
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| zero => intro v; exact Nat.zero_le _
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| succ n ih =>
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intro v
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have hstep : depthIter spec (n + 1) v = depthStep spec (depthIter spec n) v := rfl
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rw [hstep]
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exact depthStep_le spec (depthIter spec n) v n (fun u _ => ih u)
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/-! ## Reachability and acyclicity (Definition 120) -/
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/-- One BFS expansion: keep the current frontier and add all its successors. -/
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def expand (spec : RoutingSpecification) (S : List Vertex) : List Vertex :=
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(S ++ S.flatMap (successors spec)).dedup
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/-- Iterate `expand` `n` times. -/
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def reachIter (spec : RoutingSpecification) : ℕ → List Vertex → List Vertex
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| 0, S => S
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| n + 1, S => reachIter spec n (expand spec S)
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/--
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Vertices reachable from `u` in at least one routing step.
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Starts from `u`'s successors (one edge taken) and saturates within `|V|`
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expansions, which suffices on a graph with `|V|` vertices.
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-/
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def reachableFrom (spec : RoutingSpecification) (u : Vertex) : List Vertex :=
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reachIter spec (vertices spec).length (successors spec u)
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/-- `u` reaches `v` along at least one routing edge. -/
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def Reaches (spec : RoutingSpecification) (u v : Vertex) : Prop :=
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v ∈ reachableFrom spec u
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instance (spec : RoutingSpecification) (u v : Vertex) : Decidable (Reaches spec u v) :=
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inferInstanceAs (Decidable (v ∈ reachableFrom spec u))
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/--
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**fdrs.md Definition 120**: `G_ρ` is acyclic when no junction can reach itself.
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-/
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def Acyclic (spec : RoutingSpecification) : Prop :=
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∀ v ∈ vertices spec, ¬ Reaches spec v v
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instance (spec : RoutingSpecification) : Decidable (Acyclic spec) :=
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inferInstanceAs (Decidable (∀ v ∈ vertices spec, ¬ Reaches spec v v))
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/--
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**fdrs.md Theorem 52**: deadlock-freedom of the system is acyclicity of `G_ρ`
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— a set of mutually waiting timelines is exactly a cycle in the routing graph.
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-/
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def DeadlockFree (spec : RoutingSpecification) : Prop := Acyclic spec
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instance (spec : RoutingSpecification) : Decidable (DeadlockFree spec) :=
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inferInstanceAs (Decidable (Acyclic spec))
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/-! ## Bounded fanout / depth (Proposition 109 items 2, 3) -/
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/-- Fanout is bounded by `B` across all junctions. -/
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def BoundedFanout (spec : RoutingSpecification) (B : ℕ) : Prop :=
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∀ u ∈ vertices spec, fanout spec u ≤ B
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instance (spec : RoutingSpecification) (B : ℕ) : Decidable (BoundedFanout spec B) :=
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inferInstanceAs (Decidable (∀ u ∈ vertices spec, fanout spec u ≤ B))
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/-- Routing depth is bounded by `D` across all junctions. -/
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def BoundedDepth (spec : RoutingSpecification) (D : ℕ) : Prop :=
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∀ v ∈ vertices spec, depthIter spec (vertices spec).length v ≤ D
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instance (spec : RoutingSpecification) (D : ℕ) : Decidable (BoundedDepth spec D) :=
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inferInstanceAs
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(Decidable (∀ v ∈ vertices spec, depthIter spec (vertices spec).length v ≤ D))
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end FdrsFormal.Composition.RoutingGraph

FdrsFormal/Composition/Synchronization/Join.lean

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namespace FdrsFormal.Composition.Synchronization
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open FdrsFormal.Composition.Verification
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/-!
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## Synchronization Points
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-/
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/--
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Source count for synchronization point.
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**fdrs.md line 6332**: |{sources}| for synchronization.
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Placeholder: actual count depends on routing graph structure.
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**fdrs.md line 6332**: `|{(A, s_A) : ((A, s_A), (T, s)) ∈ E_{G_ρ}}|`, the number
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of *distinct* source junctions with an edge into `(timeline, cylinder)` in `G_ρ`.
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-/
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def synchronizationSourceCount_placeholder (_timeline _cylinder : ℕ) : ℕ := 0
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def synchronizationSourceCount (spec : RoutingSpecification) (timeline cylinder : ℕ) : ℕ :=
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(RoutingGraph.predecessors spec (timeline, cylinder)).dedup.length
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/-!
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## Join Semantics

FdrsFormal/Composition/Synchronization/Multicast.lean

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-/
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import FdrsFormal.Composition.Routing.Definition
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import FdrsFormal.Composition.RoutingGraph.Graph
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namespace FdrsFormal.Composition.Synchronization
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open FdrsFormal.Composition.Verification
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/-!
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## Multicast Routing
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-/
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/--
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Fanout count: number of targets for a multicast.
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**fdrs.md line 6320**: |ρ(A, s_A, e, c)| = fanout.
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Placeholder: actual fanout depends on routing function.
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**fdrs.md line 6320**: `|ρ(A, s_A, e, c)|` = fanout, the number of routing
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actions out of junction `(sourceTimeline, sourceCylinder)` in `G_ρ`.
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-/
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def multicastFanout_placeholder (_sourceTimeline _sourceCylinder : ℕ) : ℕ := 0
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def multicastFanout (spec : RoutingSpecification) (sourceTimeline sourceCylinder : ℕ) : ℕ :=
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RoutingGraph.fanout spec (sourceTimeline, sourceCylinder)
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/--
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Multicast example: timer overflow.

FdrsFormal/Composition/TimingBounds/Definition.lean

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@@ -201,12 +201,19 @@ def trivialSchedule : Schedule :=
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{ startTime := fun _ => 0 }
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/--
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FDRS programs are schedulable: a trivial schedule always exists.
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FDRS programs are schedulable: whenever every operation's worst-case execution
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time fits within its deadline, a feasible schedule exists.
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**fdrs.md**: Earliest Deadline First scheduling works for FDRS.
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**fdrs.md**: Earliest Deadline First scheduling works for FDRS. Concretely, when
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`wcet(op) ≤ deadline(op)` for all `op`, the all-at-time-`0` schedule already meets
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every deadline, so the feasibility problem is solvable.
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-/
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theorem fdrs_schedulable_placeholder : ∃ s : Schedule, True :=
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⟨trivialSchedule, trivial⟩
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theorem fdrs_schedulable (tm : TimingModel) (deadlines : ℕ → ℕ)
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(h : ∀ op, (tm op).wcet ≤ deadlines op) :
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∃ s : Schedule, isFeasible tm s deadlines := by
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refine ⟨trivialSchedule, ?_⟩
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intro op
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simpa [trivialSchedule] using h op
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/-!
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## Latency Bounds

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