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Definitions bundle OAIQ051M000 of the split of OpenAI, A Fully Polynomial Randomized Approximation Scheme for Perfect Matchings in General Graphs (result family 113)

Definition
OAIQ051M000

by dbenbenn · Oct 27, 2026 · Mathlib 0df444a (Lean v4.33.1)

openai-math

A definitions bundle of the split of OpenAI's proof of OAI.MatchingFPRAS.thm_main, carved from OpenAI's openai/math development (OpenAI, A Fully Polynomial Randomized Approximation Scheme for Perfect Matchings in General Graphs (result family 113), OpenAI Math Release, September 23, 2026, result family 113, github.com/openai/math at commit adc7f12, Apache License 2.0) and ported to Lean 4.33.1 and Mathlib 0df444a. The declarations and their proofs are OpenAI's.

Contents. It holds 833 declarations of OpenAI's Lean: 390 definitions, 22 inductive types or structures, 13 instances and 408 theorems. The definitions and types are OAI.MatchingFPRAS.Adaptive.Law, OAI.MatchingFPRAS.Adaptive.Law.event, OAI.MatchingFPRAS.Adaptive.Law.iid, OAI.MatchingFPRAS.Adaptive.Law.sigma, OAI.MatchingFPRAS.AlphabetCost.supportedWrites, OAI.MatchingFPRAS.AlphabetCost.writesCount, OAI.MatchingFPRAS.Amplification.halfRepetitions, OAI.MatchingFPRAS.Amplification.median, OAI.MatchingFPRAS.Amplification.sortedList, OAI.MatchingFPRAS.Amplification.sortedValue, OAI.MatchingFPRAS.BinaryArithmeticProc.add, OAI.MatchingFPRAS.BinaryArithmeticProc.addEntry, OAI.MatchingFPRAS.BinaryArithmeticProc.compare, OAI.MatchingFPRAS.BinaryArithmeticProc.compareEntry, OAI.MatchingFPRAS.BinaryArithmeticProc.less, OAI.MatchingFPRAS.BinaryArithmeticProc.pickLt, OAI.MatchingFPRAS.BinaryArithmeticProc.sub, OAI.MatchingFPRAS.BinaryArithmeticProc.subEntry, OAI.MatchingFPRAS.BinaryNormalize.normalize, OAI.MatchingFPRAS.BinaryNormalize.program, OAI.MatchingFPRAS.BinaryNormalize.stripProgram, OAI.MatchingFPRAS.BinaryNormalize.stripRaw, OAI.MatchingFPRAS.BinaryNormalize.swap01, OAI.MatchingFPRAS.BitArithmetic.FractionBound, OAI.MatchingFPRAS.BitArithmetic.GridFraction, OAI.MatchingFPRAS.BitArithmetic.matrixBound, OAI.MatchingFPRAS.BitComplexity.PolynomiallyBounded, OAI.MatchingFPRAS.BitComplexity.boundD, OAI.MatchingFPRAS.BitComplexity.boundK, OAI.MatchingFPRAS.BitComplexity.boundN, OAI.MatchingFPRAS.BitComplexity.boundS, OAI.MatchingFPRAS.BoolPostCompiler.down, OAI.MatchingFPRAS.BoolPostCompiler.up, OAI.MatchingFPRAS.BottleneckAlgorithm.advance, OAI.MatchingFPRAS.BottleneckAlgorithm.close, OAI.MatchingFPRAS.BottleneckAlgorithm.edge, OAI.MatchingFPRAS.BottleneckAlgorithm.seed, OAI.MatchingFPRAS.Cells.ArcData, OAI.MatchingFPRAS.Cells.ArcData.Admissible, OAI.MatchingFPRAS.Cells.ArcData.Good and 372 more.

Sources. They come from these modules of lean/OAI/Combinatorics/MatchingCount, in whole or in part: MatchingCount_Algorithm_EmpiricalDenom, MatchingCount_Algorithm_Guard, MatchingCount_Algorithm_OutputLengthBound, MatchingCount_Algorithm_RationalScale, MatchingCount_Algorithm_RelabelWeights, MatchingCount_Algorithm_SortedList, MatchingCount_Algorithm_TreeScaling, MatchingCount_Algorithm_TreeStageActivity, MatchingCount_Arithmetic_ArithmeticSize, MatchingCount_Arithmetic_BinaryAddition, MatchingCount_Arithmetic_BinaryCompare, MatchingCount_Arithmetic_BinaryNormalize, MatchingCount_Arithmetic_BinarySubtract, MatchingCount_Arithmetic_SubtractProc, MatchingCount_Arithmetic_TreeAdaptiveArithmetic, MatchingCount_Arithmetic_TreeCompare, MatchingCount_Arithmetic_TreeFraction, MatchingCount_Arithmetic_TreeFractionExtra, MatchingCount_Arithmetic_TreeNumberOps, MatchingCount_Complexity_AlphabetCompilerCost, MatchingCount_Complexity_GuardMachineBase, MatchingCount_Graphs_ArcData, MatchingCount_Graphs_ColoredEdge, MatchingCount_Graphs_CompleteGraph, MatchingCount_Graphs_Edge, MatchingCount_Graphs_EdgeLow, MatchingCount_Graphs_FillHoles, MatchingCount_Graphs_FirstHoleSortedCons, MatchingCount_Graphs_Height, MatchingCount_Graphs_HoleBlocks, MatchingCount_Graphs_HoleStrength, MatchingCount_Graphs_Incident, MatchingCount_Graphs_Marked, MatchingCount_Graphs_MatchingMap, MatchingCount_Graphs_Mate, MatchingCount_Graphs_PM, MatchingCount_Graphs_PathActivity, MatchingCount_Graphs_PathStrength, MatchingCount_Graphs_Profile, MatchingCount_Graphs_RatWeight, MatchingCount_Graphs_Related, MatchingCount_Graphs_RemainingBags, MatchingCount_Graphs_RowPeak, MatchingCount_Graphs_Sets, MatchingCount_Graphs_SumLiftMate, MatchingCount_Graphs_ThresholdGraph, MatchingCount_Graphs_TreeGeometry, MatchingCount_Graphs_Vertex, MatchingCount_Machines_BoolPostCompiler, MatchingCount_Machines_CoinTM1, MatchingCount_Machines_CoinTM1Finite, MatchingCount_Machines_FiniteStore, MatchingCount_Machines_PhysicalPost, MatchingCount_Machines_PhysicalRestriction, MatchingCount_Machines_RegisterControl, MatchingCount_Machines_RegisterProc, MatchingCount_Machines_RegisterStructured, MatchingCount_Machines_RegisterTree, MatchingCount_Machines_SupportedCompiler, MatchingCount_Machines_TableLookup, MatchingCount_Machines_TreeChoice, MatchingCount_Machines_TreeFold, MatchingCount_Machines_TreeFunction, MatchingCount_Machines_TreeList, MatchingCount_Machines_TreeLookup, MatchingCount_Machines_TreeMachine, MatchingCount_Machines_TreeSlotWeight, MatchingCount_Machines_TreeTransfer, MatchingCount_Machines_TreeTyped, MatchingCount_Probability_AdaptiveLaw, MatchingCount_Probability_FinitePMF, MatchingCount_Probability_Tv, MatchingCount_Sampling_Certify, MatchingCount_Sampling_ChosenChord, MatchingCount_Sampling_DiscreteLadderSteps, MatchingCount_Sampling_Endpoints, MatchingCount_Sampling_Sym2Order, MatchingCount_Tapes_CoinAlphabet, MatchingCount_Tapes_CoinStack, MatchingCount_Tapes_CoinSupport, MatchingCount_Tapes_RunBits, MatchingCount_Tapes_StackEmbedding, MatchingCount_Tapes_StackLens, MatchingCount_Tapes_TreeBits, MatchingCount_Tapes_WordOps.

Imports. It imports the published bundle Def_MatchingFPRAS.

Imported by (directly, in this split): the bundles OAIQ051M002 and OAIQ051M003.

Definition code
import Mathlib
import Definitions.Def_MatchingFPRAS

section
-- module Solutions.OAIQ051_MC.Compat
namespace OAI

/-! Compatibility with the newer Lean core OpenAI's code was written against: lemmas it uses by
names this environment (Lean 4.33.1, Mathlib 0df444a) does not have yet. Each is the
corresponding `if_pos` / `if_neg` / `dif_pos` / `dif_neg`. The `dite` forms are stated as
`dite p a b`, not with the `if hp : p then …` notation: its eta-expanded lambdas form is a higher-order pattern
that `rw` cannot find (DepthThree, PeriodicTiling 2026-10-25). -/
section OAICompat434
theorem ite_eq_left {α : Sort _} {p : Prop} {_ : Decidable p} {a b : α} (h : p) :
    (if p then a else b) = a := if_pos h
theorem ite_eq_right {α : Sort _} {p : Prop} {_ : Decidable p} {a b : α} (h : ¬p) :
    (if p then a else b) = b := if_neg h
theorem dite_eq_left {α : Sort _} {p : Prop} {_ : Decidable p} {a : p → α} {b : ¬p → α} (h : p) :
    dite p a b = a h := dif_pos h
theorem dite_eq_right {α : Sort _} {p : Prop} {_ : Decidable p} {a : p → α} {b : ¬p → α} (h : ¬p) :
    dite p a b = b h := dif_neg h
end OAICompat434

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_ColoredEdge
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Transport

variable {V L : Type*}

abbrev ColoredEdge (V L : Type*) := {e : Sym2 V × L // ¬ e.1.IsDiag}

namespace ColoredEdge

variable (e : ColoredEdge V L)

def Incident (v : V) : Prop := v ∈ e.val.1

def color : L := e.val.2

end ColoredEdge

def Allowed (bags : V → Finset L) (e : ColoredEdge V L) : Prop :=
  ∀ v, e.Incident v → e.color ∈ bags v

abbrev BagEdge (bags : V → Finset L) := {e : ColoredEdge V L // Allowed bags e}

namespace BagEdge

variable {bags : V → Finset L}

def Incident (e : BagEdge bags) (v : V) : Prop := e.val.Incident v

end BagEdge

variable {E : Type*} [DecidableEq V] [DecidableEq E] (inc : E → V → Prop)

def MatchingOn (M : Finset E) (U : Finset V) : Prop :=
  (∀ e ∈ M, ∀ v, inc e v → v ∈ U) ∧
  (∀ v ∈ U, ∃! e, e ∈ M ∧ inc e v)

end MatchingFPRAS.Transport

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_Mate
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Switching

open Finset
open scoped Classical symmDiff

abbrev Mate (V : Type*) := {m : V → V // Function.Involutive m}

variable {V : Type*}

@[simp] theorem mate_mate (m : Mate V) (v : V) : m.1 (m.1 v) = v := m.2 v

def overlay (m n : Mate V) : SimpleGraph V where
  Adj v w := (m.1 v = w ∧ v ≠ w) ∨ (n.1 v = w ∧ v ≠ w)
  symm := ⟨by
    intro v w h
    rcases h with ⟨h, hne⟩ | ⟨h, hne⟩
    · exact Or.inl ⟨by rw [← h, mate_mate], Ne.symm hne⟩
    · exact Or.inr ⟨by rw [← h, mate_mate], Ne.symm hne⟩⟩
  loopless := ⟨by intro v; simp⟩

@[simp] theorem overlay_adj (m n : Mate V) (v w : V) :
    (overlay m n).Adj v w ↔ (m.1 v = w ∧ v ≠ w) ∨ (n.1 v = w ∧ v ≠ w) := Iff.rfl

theorem overlay_comm (m n : Mate V) : overlay m n = overlay n m := by
  ext v w
  exact or_comm

theorem reachable_mate_left (m n : Mate V) (v : V) :
    (overlay m n).Reachable v (m.1 v) := by
  by_cases hv : m.1 v = v
  · rw [hv]
  · exact (show (overlay m n).Adj v (m.1 v) from Or.inl ⟨rfl, Ne.symm hv⟩).reachable

theorem reachable_mate_left_iff (m n : Mate V) (a v : V) :
    (overlay m n).Reachable a (m.1 v) ↔ (overlay m n).Reachable a v := by
  constructor
  · intro h
    exact h.trans (reachable_mate_left m n v).symm
  · intro h
    exact h.trans (reachable_mate_left m n v)

theorem reachable_mate_right_iff (m n : Mate V) (a v : V) :
    (overlay m n).Reachable a (n.1 v) ↔ (overlay m n).Reachable a v := by
  rw [overlay_comm]
  exact reachable_mate_left_iff n m a v

noncomputable def switched (m n : Mate V) (a : V) : Mate V := by
  classical
  refine ⟨fun v => if (overlay m n).Reachable a v then n.1 v else m.1 v, ?_⟩
  intro v
  by_cases h : (overlay m n).Reachable a v
  · simp [h, reachable_mate_right_iff]
  · simp [h, reachable_mate_left_iff]

@[simp] theorem switched_apply (m n : Mate V) (a v : V) :
    (switched m n a).1 v =
      if (overlay m n).Reachable a v then n.1 v else m.1 v := by
  classical
  rfl

def restrictMate (m : Mate V) (S : Set V)
    (hS : ∀ v, m.1 v ∈ S ↔ v ∈ S) : Mate S :=
  ⟨fun v => ⟨m.1 v.1, (hS v.1).mpr v.2⟩,
   by intro v; apply Subtype.ext; exact m.2 v.1⟩

@[simp] theorem restrictMate_apply (m : Mate V) (S : Set V)
    (hS : ∀ v, m.1 v ∈ S ↔ v ∈ S) (v : S) :
    ((restrictMate m S hS).1 v).1 = m.1 v.1 := rfl

@[simp] theorem component_mem_iff (m n : Mate V) (a v : V) :
    v ∈ ((overlay m n).connectedComponentMk a).supp ↔ (overlay m n).Reachable a v := by
  rw [SimpleGraph.ConnectedComponent.mem_supp_iff, SimpleGraph.ConnectedComponent.eq,
    SimpleGraph.reachable_comm]

noncomputable def weight [Fintype V] [LinearOrder V] (w : V → V → ℝ)
    (m : Mate V) : ℝ := ∏ v, if v < m.1 v then w v (m.1 v) else 1

def HasHoles (m : Mate V) (U : Finset V) : Prop := ∀ v, m.1 v = v ↔ v ∈ U

noncomputable def matchings [Fintype V] (U : Finset V) : Finset (Mate V) :=
  Finset.univ.filter (fun m => HasHoles m U)

@[simp] theorem mem_matchings [Fintype V] (m : Mate V) (U : Finset V) :
    m ∈ matchings U ↔ HasHoles m U := by simp [matchings]

noncomputable def partition [Fintype V] [LinearOrder V]
    (w : V → V → ℝ) (U : Finset V) : ℝ := ∑ m ∈ matchings U, weight w m

end MatchingFPRAS.Switching

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_Edge
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Switching
open Finset
open scoped Classical symmDiff

variable {V : Type*}

noncomputable def withEdge (m : Mate V) (a b : V) : Mate V := by
  classical
  by_cases h : m.1 a = a ∧ m.1 b = b
  · refine ⟨fun v => if v = a then b else if v = b then a else m.1 v, ?_⟩
    intro v
    by_cases hva : v = a
    · subst v
      by_cases hab : a = b <;> simp [hab]
    by_cases hvb : v = b
    · subst v
      by_cases hab : a = b <;> simp [hab, hva]
    have hma : m.1 v ≠ a := by
      intro hv
      have he := congrArg m.1 hv
      rw [mate_mate, h.1] at he
      exact hva he
    have hmb : m.1 v ≠ b := by
      intro hv
      have he := congrArg m.1 hv
      rw [mate_mate, h.2] at he
      exact hvb he
    simp [hva, hvb, hma, hmb]
  · exact m

@[simp] theorem withEdge_apply (m : Mate V) (a b v : V)
    (ha : m.1 a = a) (hb : m.1 b = b) :
    (withEdge m a b).1 v = if v = a then b else if v = b then a else m.1 v := by
  classical
  simp [withEdge, ha, hb]

def edgeActivity [LinearOrder V] (w : V → V → ℝ) (a b : V) : ℝ :=
  if a < b then w a b else w b a

theorem edgeActivity_comm [LinearOrder V] (w : V → V → ℝ) (a b : V) :
    edgeActivity w a b = edgeActivity w b a := by
  rcases lt_trichotomy a b with h | rfl | h
  · simp [edgeActivity, h, h.not_gt]
  · rfl
  · simp [edgeActivity, h, h.not_gt]

noncomputable def holeRatio [Fintype V] [LinearOrder V]
    (w : V → V → ℝ) (U : Finset V) : ℝ := partition w U / partition w ∅

noncomputable def rowMax [Fintype V] [LinearOrder V]
    (hcard : 2 ≤ Fintype.card V) (w : V → V → ℝ) (a : V) : ℝ :=
  ((Finset.univ.erase a).sup' (by
    apply Finset.card_pos.mp
    rw [Finset.card_erase_of_mem (Finset.mem_univ a), Finset.card_univ]
    omega) fun b => holeRatio w {a,b})

end MatchingFPRAS.Switching

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_PathStrength
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Switching
open Finset
open scoped Classical symmDiff

variable {V : Type*}

noncomputable def pathStrength [LinearOrder V] (w : V → V → ℝ) {a b : V}
    (hab : a ≠ b) (p : (⊤ : SimpleGraph V).Path a b) : ℝ :=
  p.val.darts.toFinset.inf' (by
    obtain ⟨d,hd⟩ := List.exists_mem_of_ne_nil p.val.darts
      (fun h => hab ((SimpleGraph.Walk.darts_eq_nil.mp h).eq))
    exact ⟨d,List.mem_toFinset.mpr hd⟩)
    (fun d => edgeActivity w d.fst d.snd)

noncomputable def bottleneck [Fintype V] [LinearOrder V]
    (w : V → V → ℝ) (a b : V) : ℝ :=
  if hab : a = b then 1 else
    max 1 ((Finset.univ : Finset ((⊤ : SimpleGraph V).Path a b)).sup'
      (by exact ⟨SimpleGraph.Path.singleton (by simpa using hab), Finset.mem_univ _⟩)
      (pathStrength w hab))

theorem one_le_bottleneck [Fintype V] [LinearOrder V]
    (w : V → V → ℝ) (a b : V) : 1 ≤ bottleneck w a b := by
  unfold bottleneck
  split_ifs
  · rfl
  · exact le_max_left _ _

theorem walk_isChain_of_darts [LinearOrder V] {G : SimpleGraph V}
    (w : V → V → ℝ) (B : ℝ) {a b : V} (p : G.Walk a b)
    (h : ∀ d ∈ p.darts, B ≤ edgeActivity w d.fst d.snd) :
    List.IsChain (fun x y => B ≤ edgeActivity w x y) p.support := by
  induction p with
  | nil => simp
  | @cons a c b hadj p ih =>
    rw [SimpleGraph.Walk.support_cons, ← p.cons_tail_support]
    apply List.isChain_cons_cons.mpr
    constructor
    · exact h ⟨(a,c),hadj⟩ (by simp)
    · rw [p.cons_tail_support]
      apply ih
      intro d hd
      exact h d (by simp [hd])

theorem bottleneck_path [Fintype V] [LinearOrder V]
    (w : V → V → ℝ) (a b : V) (hab : a ≠ b) (hB : 1 < bottleneck w a b) :
    ∃ L : List V,
      List.IsChain (fun x y => bottleneck w a b ≤ edgeActivity w x y) (a :: L) ∧
      (a :: L).Nodup ∧ b ∈ L := by
  obtain ⟨p,hp,hmax⟩ := Finset.exists_mem_eq_sup'
    (show (Finset.univ : Finset ((⊤ : SimpleGraph V).Path a b)).Nonempty from
      ⟨SimpleGraph.Path.singleton (by simpa using hab), Finset.mem_univ _⟩)
    (pathStrength w hab)
  have he : bottleneck w a b = pathStrength w hab p := by
    unfold bottleneck at hB ⊢
    rw [dite_eq_right hab, hmax] at hB ⊢
    exact max_eq_right ((lt_max_iff.mp hB).resolve_left (lt_irrefl 1)).le
  have hd : ∀ d ∈ p.val.darts, bottleneck w a b ≤ edgeActivity w d.fst d.snd := by
    intro d hd
    rw [he]
    exact Finset.inf'_le _ (List.mem_toFinset.mpr hd)
  refine ⟨p.val.support.tail, ?_, ?_, ?_⟩
  · rw [p.val.cons_tail_support]
    exact walk_isChain_of_darts w _ p.val hd
  · rw [p.val.cons_tail_support]
    exact p.property.support_nodup
  · exact p.val.end_mem_tail_support_of_ne hab

noncomputable def erasePair (m : Mate V) (a b : V) : Mate V := by
  classical
  by_cases h : m.1 a = b
  · refine ⟨fun v => if v = a ∨ v = b then v else m.1 v, ?_⟩
    intro v
    have hba : m.1 b = a := by rw [← h, mate_mate]
    by_cases hv : v = a ∨ v = b
    · simp [hv]
    · have hma : m.1 v ≠ a := by
        intro he
        have hh := congrArg m.1 he
        rw [mate_mate, h] at hh
        exact hv (Or.inr hh)
      have hmb : m.1 v ≠ b := by
        intro he
        have hh := congrArg m.1 he
        rw [mate_mate, hba] at hh
        exact hv (Or.inl hh)
      simp [hv, hma, hmb, mate_mate]
  · exact m

@[simp] theorem erasePair_apply (m : Mate V) (a b v : V) (h : m.1 a = b) :
    (erasePair m a b).1 v = if v = a ∨ v = b then v else m.1 v := by
  classical
  simp [erasePair, h]

end MatchingFPRAS.Switching

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_FillHoles
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Switching
open Finset
open scoped Classical symmDiff

variable {V : Type*}
theorem mate_mem_holes_iff [DecidableEq V] (m : Mate V) (S : Finset V)
    (hm : HasHoles m S) (v : V) : m.1 v ∈ S ↔ v ∈ S := by
  rw [← hm (m.1 v), ← hm v, mate_mate]
  exact eq_comm

noncomputable def fillHoles [Fintype V] [DecidableEq V] (m q : Mate V) (S : Finset V)
    (hm : HasHoles m S) (hq : HasHoles q Sᶜ) : Mate V := by
  classical
  refine ⟨fun v => if v ∈ S then q.1 v else m.1 v, ?_⟩
  intro v
  by_cases hv : v ∈ S
  · have hqv : q.1 v ∈ S := by
      have h := mate_mem_holes_iff q Sᶜ hq v
      have he : q.1 v ∈ S ↔ v ∈ S := by
        simpa only [Finset.mem_compl, not_iff_not] using h
      exact he.mpr hv
    simp [hv,hqv,mate_mate]
  · have hmv : m.1 v ∉ S := fun h => hv ((mate_mem_holes_iff m S hm v).mp h)
    simp [hv,hmv,mate_mate]

@[simp] theorem fillHoles_apply [Fintype V] [DecidableEq V] (m q : Mate V) (S : Finset V)
    (hm : HasHoles m S) (hq : HasHoles q Sᶜ) (v : V) :
    (fillHoles m q S hm hq).1 v = if v ∈ S then q.1 v else m.1 v := rfl

end MatchingFPRAS.Switching

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_ThresholdGraph
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Switching

open Finset

variable {V : Type*}

lemma edgeActivity_of_symmetric [LinearOrder V] (B : V → V → ℝ)
    (hB : ∀ a b, B a b = B b a) (a b : V) : edgeActivity B a b = B a b := by
  unfold edgeActivity
  split_ifs
  · rfl
  · exact hB b a

def thresholdGraph [LinearOrder V] (w : V → V → ℝ) (t : ℝ) : SimpleGraph V where
  Adj a b := a ≠ b ∧ t ≤ edgeActivity w a b
  symm := ⟨by
    intro a b h
    exact ⟨h.1.symm,by simpa only [edgeActivity_comm w b a] using h.2⟩⟩
  loopless := ⟨by intro a h; exact h.1 rfl⟩

lemma strong_walk_reachable [LinearOrder V] (w : V → V → ℝ) (t : ℝ)
    {a b : V} (p : (⊤ : SimpleGraph V).Walk a b)
    (hp : ∀ d ∈ p.darts, t ≤ edgeActivity w d.fst d.snd) :
    (thresholdGraph w t).Reachable a b := by
  induction p with
  | nil => exact SimpleGraph.Reachable.refl _
  | @cons a c b hac p ih =>
    have he : t ≤ edgeActivity w a c := hp ⟨(a,c),hac⟩ (by simp)
    have htail : ∀ d ∈ p.darts, t ≤ edgeActivity w d.fst d.snd := by
      intro d hd
      exact hp d (by simp [hd])
    exact (SimpleGraph.Adj.reachable (G := thresholdGraph w t)
      ⟨by simpa using hac,he⟩).trans (ih htail)

lemma threshold_map_strong [LinearOrder V] (w : V → V → ℝ) (t : ℝ)
    {a b : V} (p : (thresholdGraph w t).Walk a b) :
    ∀ d ∈ (p.map (SimpleGraph.Hom.ofLE le_top)).darts,
      t ≤ edgeActivity w d.fst d.snd := by
  intro d hd
  rw [SimpleGraph.Walk.darts_map] at hd
  obtain ⟨e,he,rfl⟩ := List.mem_map.mp hd
  exact e.adj.2

theorem bottleneck_threshold [Fintype V] [LinearOrder V]
    (w : V → V → ℝ) (a b : V) (hab : a ≠ b) (t : ℝ) (ht : 1 < t) :
    t ≤ bottleneck w a b ↔ (thresholdGraph w t).Reachable a b := by
  classical
  constructor
  · intro h
    obtain ⟨p,hp,hmax⟩ := Finset.exists_mem_eq_sup'
      (show (Finset.univ : Finset ((⊤ : SimpleGraph V).Path a b)).Nonempty from
        ⟨SimpleGraph.Path.singleton (by simpa using hab), Finset.mem_univ _⟩)
      (pathStrength w hab)
    have he : t ≤ pathStrength w hab p := by
      unfold bottleneck at h
      rw [dite_eq_right hab,hmax] at h
      exact (le_max_iff.mp h).resolve_left (not_le_of_gt ht)
    apply strong_walk_reachable w t p.val
    intro d hd
    exact he.trans (Finset.inf'_le _ (List.mem_toFinset.mpr hd))
  · intro h
    obtain ⟨p,hp⟩ := h.exists_isPath
    let q : (⊤ : SimpleGraph V).Path a b :=
      ⟨p.map (SimpleGraph.Hom.ofLE le_top),hp.map Function.injective_id⟩
    have hstr : t ≤ pathStrength w hab q := by
      apply Finset.le_inf'
      intro d hd
      exact threshold_map_strong w t p d (List.mem_toFinset.mp hd)
    unfold bottleneck
    rw [dite_eq_right hab]
    exact hstr.trans ((Finset.le_sup' _ (Finset.mem_univ q)).trans (le_max_right _ _))

theorem bottleneck_comm [Fintype V] [LinearOrder V] (w : V → V → ℝ) (a b : V) :
    bottleneck w a b = bottleneck w b a := by
  by_cases hab : a = b
  · subst b; rfl
  apply le_antisymm
  · by_cases h : 1 < bottleneck w a b
    · exact (bottleneck_threshold w b a (Ne.symm hab) _ h).mpr
        (((bottleneck_threshold w a b hab _ h).mp le_rfl).symm)
    · exact (le_of_not_gt h).trans (one_le_bottleneck w b a)
  · by_cases h : 1 < bottleneck w b a
    · exact (bottleneck_threshold w a b hab _ h).mpr
        (((bottleneck_threshold w b a (Ne.symm hab) _ h).mp le_rfl).symm)
    · exact (le_of_not_gt h).trans (one_le_bottleneck w a b)

theorem bottleneck_ultrametric [Fintype V] [LinearOrder V]
    (w : V → V → ℝ) (a b c : V) (hab : a ≠ b) (hac : a ≠ c) (hbc : b ≠ c) :
    min (bottleneck w a c) (bottleneck w c b) ≤ bottleneck w a b := by
  let t := min (bottleneck w a c) (bottleneck w c b)
  by_cases ht : 1 < t
  · apply (bottleneck_threshold w a b hab t ht).mpr
    exact ((bottleneck_threshold w a c hac t ht).mp (min_le_left _ _)).trans
      ((bottleneck_threshold w c b hbc.symm t ht).mp (min_le_right _ _))
  · exact (le_of_not_gt ht).trans (one_le_bottleneck w a b)

theorem edgeActivity_le_bottleneck [Fintype V] [LinearOrder V]
    (w : V → V → ℝ) (a b : V) (hab : a ≠ b) :
    edgeActivity w a b ≤ bottleneck w a b := by
  by_cases h : 1 < edgeActivity w a b
  · exact (bottleneck_threshold w a b hab _ h).mpr
      (SimpleGraph.Adj.reachable (G := thresholdGraph w _) ⟨hab,le_rfl⟩)
  · exact (le_of_not_gt h).trans (one_le_bottleneck w a b)

theorem bottleneck_le_row_bound [Fintype V] [LinearOrder V]
    (w : V → V → ℝ) (a : V) (T : ℝ) (hT : 1 ≤ T)
    (hrow : ∀ b, a ≠ b → edgeActivity w a b ≤ T) (b : V) :
    bottleneck w a b ≤ T := by
  by_cases hab : a = b
  · subst b; simpa [bottleneck] using hT
  by_cases hB : 1 < bottleneck w a b
  · obtain ⟨L,hL,hnd,hb⟩ := bottleneck_path w a b hab hB
    cases L with
    | nil => simp at hb
    | cons c L =>
      have hne : a ≠ c := by
        have h := (List.nodup_cons.mp hnd).1
        simp only [List.mem_cons,not_or] at h
        exact h.1
      have he := (List.isChain_cons_cons.mp hL).1
      exact he.trans (hrow c hne)
  · exact (le_of_not_gt hB).trans hT

theorem bottleneck_eq_of_threshold_iff
    {W : Type*} [Fintype V] [LinearOrder V] [Fintype W] [LinearOrder W]
    (w : V → V → ℝ) (w' : W → W → ℝ) (a b : V) (a' b' : W)
    (hab : a ≠ b) (hab' : a' ≠ b')
    (h : ∀ t : ℝ, 1 < t →
      ((thresholdGraph w t).Reachable a b ↔ (thresholdGraph w' t).Reachable a' b')) :
    bottleneck w a b = bottleneck w' a' b' := by
  apply le_antisymm
  · by_cases ht : 1 < bottleneck w a b
    · exact (bottleneck_threshold w' a' b' hab' _ ht).mpr
        ((h _ ht).mp ((bottleneck_threshold w a b hab _ ht).mp le_rfl))
    · exact (le_of_not_gt ht).trans (one_le_bottleneck w' a' b')
  · by_cases ht : 1 < bottleneck w' a' b'
    · exact (bottleneck_threshold w a b hab _ ht).mpr
        ((h _ ht).mpr ((bottleneck_threshold w' a' b' hab' _ ht).mp le_rfl))
    · exact (le_of_not_gt ht).trans (one_le_bottleneck w a b)

end MatchingFPRAS.Switching

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_SumLiftMate
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Switching

section

open Finset

variable {V W : Type*}

def sumLiftMate (m : Mate V) : Mate (V ⊕ W) :=
  ⟨Sum.map m.val id,by intro x; cases x <;> simp⟩

@[simp] lemma sumLiftMate_inl (m : Mate V) (a : V) :
    (sumLiftMate (W := W) m).val (Sum.inl a)=Sum.inl (m.val a) := rfl

@[simp] lemma sumLiftMate_inr (m : Mate V) (a : W) :
    (sumLiftMate m).val (Sum.inr a)=(Sum.inr a : V ⊕ W) := rfl

end

end MatchingFPRAS.Switching

namespace MatchingFPRAS.Subdivision

open Finset

abbrev Selection (m : ℕ) := Fin (m+1) → Bool

def Valid {m : ℕ} (holes : Finset (Fin m)) (b : Selection m) : Prop :=
  ∀ i : Fin m, if i ∈ holes then b i.castSucc = false ∧ b i.succ = false
    else b i.castSucc ≠ b i.succ

def alternating (a : Bool) (i : ℕ) : Bool := if i % 2 = 0 then a else !a

@[simp] theorem alternating_zero (a : Bool) : alternating a 0 = a := by
  simp [alternating]

@[simp] theorem alternating_succ (a : Bool) (i : ℕ) :
    alternating a (i+1) = !(alternating a i) := by
  by_cases h : i % 2 = 0
  · have hs : (i+1)%2 = 1 := by omega
    simp [alternating,h,hs]
  · have hs : i%2=1 := by omega
    have ht : (i+1)%2=0 := by omega
    simp [alternating,hs,ht]

@[simp] theorem alternating_add_two (a : Bool) (i : ℕ) :
    alternating a (i+2) = alternating a i := by
  rw [show i+2=(i+1)+1 by omega, alternating_succ, alternating_succ]
  simp

lemma bool_ne_iff_eq_not (a b : Bool) : a ≠ b ↔ b = !a := by
  cases a <;> cases b <;> simp

theorem intact_iff {m : ℕ} (b : Selection m) :
    Valid ∅ b ↔ ∀ i : Fin (m+1), b i = alternating (b 0) i.val := by
  constructor
  · intro h i
    have hstep (j : Fin m) : b j.succ = !(b j.castSucc) := by
      apply (bool_ne_iff_eq_not _ _).mp
      simpa [Valid] using h j
    have aux (k : ℕ) (hk : k < m+1) : b ⟨k,hk⟩ = alternating (b 0) k := by
      induction k with
      | zero => simp
      | succ k ih =>
        rw [alternating_succ]
        have hk' : k < m := by omega
        have he := hstep ⟨k,hk'⟩
        simpa only [Fin.succ_mk, Fin.castSucc_mk, ih (by omega)] using he
    exact aux i.val i.isLt
  · intro h i
    simp only [Finset.notMem_empty, ↓reduceIte]
    rw [h i.castSucc, h i.succ]
    simp only [Fin.val_castSucc, Fin.val_succ, alternating_succ]
    cases alternating (b 0) i.val <;> decide

theorem intact_terminals {m : ℕ} (hm : Even m) (b : Selection m)
    (h : Valid ∅ b) : b (Fin.last m) = b 0 := by
  rw [(intact_iff b).mp h]
  simp [alternating, Nat.even_iff.mp hm]

theorem alternating_valid (m : ℕ) (a : Bool) :
    Valid ∅ (fun i : Fin (m+1) => alternating a i.val) := by
  apply (intact_iff _).mpr
  intro i
  simp

@[simp] theorem alternating_not (a : Bool) (i : ℕ) :
    alternating (!a) i = !(alternating a i) := by
  unfold alternating
  split_ifs <;> simp

def duplicate (xs : List ℝ) : List ℝ := xs.flatMap (fun x => [x,x])

@[simp] theorem duplicate_nil : duplicate [] = [] := rfl

@[simp] theorem duplicate_cons (x : ℝ) (xs : List ℝ) :
    duplicate (x::xs) = x::x::duplicate xs := by simp [duplicate]

@[simp] theorem duplicate_length (xs : List ℝ) :
    (duplicate xs).length = 2*xs.length := by
  induction xs with
  | nil => simp
  | cons x xs ih => simp [ih]; omega

end MatchingFPRAS.Subdivision

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_Profile
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Subdivision

open Finset

noncomputable def profile (p : ℕ) (B Hu Hv lam : ℝ) : List ℝ :=
  duplicate (List.ofFn fun r : Fin p => max B (Hu / 2^r.val)) ++ [lam] ++
    duplicate ((List.ofFn fun r : Fin p => max B (Hv / 2^r.val)).reverse)

@[simp] theorem profile_length (p : ℕ) (B Hu Hv lam : ℝ) :
    (profile p B Hu Hv lam).length = 4*p+1 := by simp [profile]; omega

noncomputable def profileActivity (p : ℕ) (B Hu Hv lam : ℝ) (i : Fin (4*p+1)) : ℝ :=
  (profile p B Hu Hv lam).get (i.cast (profile_length p B Hu Hv lam).symm)

section Deletion

variable {V E : Type*} [Fintype V] [Fintype E]

def Uses {m : ℕ} (u v : E → V) (b : E → Selection m) (e : E) (x : V) : Prop :=
  (b e 0 = true ∧ u e = x) ∨ (b e (Fin.last m) = true ∧ v e = x)

def FamilyHoles (u v : E → V) (m : ℕ) (R₀ : Finset V) (U : E → Finset (Fin m))
    (b : E → Selection m) : Prop :=
  (∀ e, Valid (U e) (b e)) ∧
  (∀ x ∈ R₀, ∀ e, ¬ Uses u v b e x) ∧
  (∀ x ∉ R₀, ∃! e, Uses u v b e x)

noncomputable def broken {m : ℕ} (U : E → Finset (Fin m)) : Finset E := by
  classical
  exact Finset.univ.filter fun e => (U e).Nonempty

@[simp] lemma mem_broken {m : ℕ} (U : E → Finset (Fin m)) (e : E) :
    e ∈ broken U ↔ (U e).Nonempty := by
  classical
  simp [broken]

noncomputable def residualHoles {m : ℕ} (u v : E → V) (R₀ : Finset V)
    (U : E → Finset (Fin m)) (b : E → Selection m) : Finset V := by
  classical
  exact R₀ ∪ Finset.univ.filter (fun x => ∃ e ∈ broken U, Uses u v b e x)

@[simp] lemma mem_residualHoles {m : ℕ} (u v : E → V) (R₀ : Finset V)
    (U : E → Finset (Fin m)) (b : E → Selection m) (x : V) :
    x ∈ residualHoles u v R₀ U b ↔ x ∈ R₀ ∨ ∃ e ∈ broken U, Uses u v b e x := by
  classical
  simp [residualHoles]

def LogicalHoles (u v : E → V) (R : Finset V) (forbidden : Finset E)
    (s : E → Bool) : Prop :=
  (∀ e ∈ forbidden, s e = false) ∧
  (∀ x ∈ R, ∀ e, ¬ (s e = true ∧ (u e = x ∨ v e = x))) ∧
  (∀ x ∉ R, ∃! e, s e = true ∧ (u e = x ∨ v e = x))

omit [Fintype V] [Fintype E] in
lemma intact_uses {m : ℕ} (hm : Even m) (u v : E → V) (b : E → Selection m)
    (e : E) (x : V) (hb : Valid ∅ (b e)) :
    Uses u v b e x ↔ b e 0 = true ∧ (u e = x ∨ v e = x) := by
  rw [Uses,intact_terminals hm _ hb]
  exact and_or_left.symm

end Deletion

end MatchingFPRAS.Subdivision

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_HoleBlocks
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Subdivision
open Finset

structure HoleBlocks (m : ℕ) where
  left : Option (Fin m)
  neutral : List (Fin m × Fin m)
  right : Option (Fin m)

lemma duplicate_getElem (xs : List ℝ) (i : ℕ) (hi : i < (duplicate xs).length) :
    (duplicate xs)[i] = xs[i/2]'(by simp only [duplicate_length] at hi; omega) := by
  induction xs generalizing i with
  | nil => simp [duplicate] at hi
  | cons x xs ih =>
    cases i with
    | zero => simp [duplicate]
    | succ i =>
      cases i with
      | zero => simp [duplicate]
      | succ i =>
        have hi' : i < (duplicate xs).length := by simp only [duplicate_cons,List.length_cons] at hi; omega
        have hh := ih i hi'
        simpa only [duplicate_cons,List.getElem_cons_succ,Nat.succ_eq_add_one,
          show (i+1+1)/2=i/2+1 by omega] using hh

lemma profile_left (p : ℕ) (B Hu Hv lam : ℝ) (i : Fin (4*p+1))
    (hi : i.val < 2*p) :
    profileActivity p B Hu Hv lam i = max B (Hu/2^(i.val/2)) := by
  unfold profileActivity profile
  simp only [List.get_eq_getElem,Fin.cast]
  have hl : i.val < (duplicate (List.ofFn fun r : Fin p => max B (Hu/2^r.val))).length := by
    simpa using hi
  rw [List.getElem_append_left (by simpa only [List.length_append,List.length_singleton] using
    (show i.val < (duplicate (List.ofFn fun r : Fin p => max B (Hu/2^r.val))).length+1 by omega))]
  rw [List.getElem_append_left hl,duplicate_getElem]
  simp

@[simp] lemma profile_center (p : ℕ) (B Hu Hv lam : ℝ) :
    profileActivity p B Hu Hv lam ⟨2*p,by omega⟩ = lam := by
  unfold profileActivity profile
  simp only [List.get_eq_getElem,Fin.cast]
  rw [List.getElem_append_left (by simp)]
  rw [List.getElem_append_right (by simp)]
  simp

lemma profile_right (p : ℕ) (B Hu Hv lam : ℝ) (i : Fin (4*p+1))
    (hi : 2*p < i.val) :
    profileActivity p B Hu Hv lam i = max B (Hv/2^((4*p-i.val)/2)) := by
  unfold profileActivity profile
  simp only [List.get_eq_getElem,Fin.cast]
  rw [List.getElem_append_right (by simp; omega),duplicate_getElem]
  simp only [duplicate_length,List.length_ofFn,List.length_append,List.length_singleton,
    List.getElem_reverse,List.getElem_ofFn]
  congr 3
  omega

theorem profile_lower (p : ℕ) (B Hu Hv lam : ℝ) (hlam : lam ≤ B)
    (i : Fin (4*p+1)) : lam ≤ profileActivity p B Hu Hv lam i := by
  rcases lt_trichotomy i.val (2*p) with hi | hi | hi
  · rw [profile_left _ _ _ _ _ _ hi]; exact hlam.trans (le_max_left _ _)
  · have he : i=⟨2*p,by omega⟩ := Fin.ext hi
    rw [he]; simp
  · rw [profile_right _ _ _ _ _ _ hi]; exact hlam.trans (le_max_left _ _)

lemma legValue_antitone (B H : ℝ) (hH : 0 ≤ H) :
    Antitone (fun r : ℕ => max B (H/(2:ℝ)^r)) := by
  intro i j hij
  apply max_le_max_left
  exact div_le_div_of_nonneg_left hH (by positivity)
    (pow_le_pow_right₀ (by norm_num : (1:ℝ) ≤ 2) hij)

lemma legValue_step (B H : ℝ) (hB : 0 ≤ B) (r : ℕ) :
    max B (H/(2:ℝ)^r) ≤ 2*max B (H/(2:ℝ)^(r+1)) := by
  apply max_le
  · exact (le_max_left B (H/2^(r+1))).trans
      (by have hh := (le_max_left B (H/2^(r+1))); nlinarith)
  · have he : H/(2:ℝ)^r = 2*(H/(2:ℝ)^(r+1)) := by rw [pow_succ]; field_simp
    rw [he]
    exact mul_le_mul_of_nonneg_left (le_max_right _ _) (by norm_num)

lemma profile_innermost (K : ℕ) (B H : ℝ) (hB : 1 ≤ B) (hH : H ≤ 4^K) :
    max B (H/(2:ℝ)^(2*K+1)) = B := by
  apply max_eq_left
  have hp : (2:ℝ)^(2*K+1) = 2*4^K := by
    rw [pow_succ,pow_mul]; norm_num; ring
  rw [hp]
  apply (div_le_iff₀ (by positivity)).mpr
  have h4 : (0:ℝ) ≤ 4^K := by positivity
  nlinarith

noncomputable def internalStrength (p : ℕ) (B Hu Hv : ℝ) (j : Fin (4*p)) : ℝ :=
  if j.val < 2*p then max B (Hu/2^(j.val/2))
    else max B (Hv/2^((4*p-(j.val+1))/2))

lemma le_internalStrength (p : ℕ) (B Hu Hv : ℝ) (j : Fin (4*p)) :
    B ≤ internalStrength p B Hu Hv j := by
  unfold internalStrength; split_ifs <;> exact le_max_left _ _

theorem internalStrength_incident (p : ℕ) (B Hu Hv lam : ℝ)
    (hHu : 0 ≤ Hu) (hHv : 0 ≤ Hv) (hlam : lam ≤ B) (j : Fin (4*p)) :
    profileActivity p B Hu Hv lam j.castSucc ≤ internalStrength p B Hu Hv j ∧
    profileActivity p B Hu Hv lam j.succ ≤ internalStrength p B Hu Hv j := by
  by_cases hj : j.val < 2*p
  · have hs : internalStrength p B Hu Hv j=max B (Hu/2^(j.val/2)) := by simp [internalStrength,hj]
    rw [hs]
    constructor
    · rw [profile_left _ _ _ _ _ _ hj]
      exact le_rfl
    · by_cases hj' : j.val+1 < 2*p
      · rw [profile_left _ _ _ _ _ _ hj']
        exact legValue_antitone B Hu hHu (by simp only [Fin.val_succ]; omega)
      · have hc : j.succ=⟨2*p,by omega⟩ := Fin.ext (by simp only [Fin.val_succ]; omega)
        rw [hc,profile_center]
        exact hlam.trans (le_max_left _ _)
  · have hs : internalStrength p B Hu Hv j=max B (Hv/2^((4*p-(j.val+1))/2)) := by
      simp [internalStrength,hj]
    rw [hs]
    constructor
    · by_cases hj' : 2*p < j.val
      · rw [profile_right _ _ _ _ _ _ hj']
        exact legValue_antitone B Hv hHv (by simp only [Fin.val_castSucc]; omega)
      · have hc : j.castSucc=⟨2*p,by omega⟩ := Fin.ext (by simp only [Fin.val_castSucc]; omega)
        rw [hc,profile_center]
        exact hlam.trans (le_max_left _ _)
    · rw [profile_right _ _ _ _ _ _ (by simp only [Fin.val_succ]; omega)]
      exact le_rfl

theorem internalStrength_left_leg (p : ℕ) (B Hu Hv lam : ℝ) (hHu : 0 ≤ Hu)
    (j : Fin (4*p)) (hj : j.val < 2*p) (i : Fin (4*p+1)) (hi : i.val ≤ j.val) :
    internalStrength p B Hu Hv j ≤ profileActivity p B Hu Hv lam i := by
  rw [profile_left _ _ _ _ _ _ (by omega)]
  simp only [internalStrength,ite_eq_left hj]
  exact legValue_antitone B Hu hHu (by omega)

theorem internalStrength_right_leg (p : ℕ) (B Hu Hv lam : ℝ) (hHv : 0 ≤ Hv)
    (j : Fin (4*p)) (hj : ¬ j.val < 2*p) (i : Fin (4*p+1)) (hi : j.val+1 ≤ i.val) :
    internalStrength p B Hu Hv j ≤ profileActivity p B Hu Hv lam i := by
  rw [profile_right _ _ _ _ _ _ (by omega)]
  simp only [internalStrength,ite_eq_right hj]
  exact legValue_antitone B Hv hHv (by omega)

end MatchingFPRAS.Subdivision

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_FirstHoleSortedCons
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Subdivision

variable {V E : Type*} [Fintype V] [Fintype E]

lemma internalStrength_le_twice_incident (p : ℕ) (hp : 1≤p) (B Hu Hv : ℝ)
    (hB : 0≤B) (hHu : 0≤Hu) (hHv : 0≤Hv)
    (hinnerL : max B (Hu/2^(p-1))=B) (hinnerR : max B (Hv/2^(p-1))=B)
    (j : Fin (4*p)) :
    internalStrength p B Hu Hv j ≤ 2*profileActivity p B Hu Hv B j.castSucc ∧
    internalStrength p B Hu Hv j ≤ 2*profileActivity p B Hu Hv B j.succ := by
  have two_self (x : ℝ) (hx : B≤x) : x≤2*x := by linarith
  by_cases hj : j.val<2*p
  · rw [internalStrength,ite_eq_left hj]
    constructor
    · rw [profile_left _ _ _ _ _ _ hj]
      exact two_self _ (le_max_left _ _)
    · by_cases hk : j.val+1<2*p
      · rw [profile_left _ _ _ _ _ _ hk]
        calc
          _ ≤ 2*max B (Hu/2^(j.val/2+1)) := legValue_step B Hu hB _
          _ ≤ _ := mul_le_mul_of_nonneg_left
            (legValue_antitone B Hu hHu (by simp only [Fin.val_succ]; omega)) (by norm_num)
      · have he : j.succ=⟨2*p,by omega⟩ := Fin.ext (by simp only [Fin.val_succ]; omega)
        rw [he,profile_center,show j.val/2=p-1 by omega,hinnerL]
        exact two_self _ le_rfl
  · rw [internalStrength,ite_eq_right hj]
    constructor
    · by_cases hk : 2*p<j.val
      · rw [profile_right _ _ _ _ _ _ hk]
        calc
          _ ≤ 2*max B (Hv/2^((4*p-(j.val+1))/2+1)) := legValue_step B Hv hB _
          _ ≤ _ := mul_le_mul_of_nonneg_left
            (legValue_antitone B Hv hHv (by simp only [Fin.val_castSucc]; omega)) (by norm_num)
      · have he : j.castSucc=⟨2*p,by omega⟩ := Fin.ext (by simp only [Fin.val_castSucc]; omega)
        rw [he,profile_center,show (4*p-(j.val+1))/2=p-1 by omega,hinnerR]
        exact two_self _ le_rfl
    · rw [profile_right _ _ _ _ _ _ (by simp only [Fin.val_succ]; omega)]
      exact two_self _ (le_max_left _ _)

lemma profile_adjacent_near (p : ℕ) (hp : 1≤p) (B Hu Hv : ℝ)
    (hB : 0≤B) (hHu : 0≤Hu) (hHv : 0≤Hv)
    (hinnerL : max B (Hu/2^(p-1))=B) (hinnerR : max B (Hv/2^(p-1))=B)
    (j : Fin (4*p)) :
    profileActivity p B Hu Hv B j.castSucc ≤ 2*profileActivity p B Hu Hv B j.succ ∧
    profileActivity p B Hu Hv B j.succ ≤ 2*profileActivity p B Hu Hv B j.castSucc := by
  have h₁ := internalStrength_incident p B Hu Hv B hHu hHv le_rfl j
  have h₂ := internalStrength_le_twice_incident p hp B Hu Hv hB hHu hHv hinnerL hinnerR j
  exact ⟨h₁.1.trans h₂.2,h₁.2.trans h₂.1⟩

end MatchingFPRAS.Subdivision

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_Vertex
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.RealGeometry

variable {V E : Type*}

abbrev Vertex (V E : Type*) (m : ℕ) := V ⊕ (E × Fin m)

def atVertex (u v : E → V) (m : ℕ) (e : E) (i : Fin (m+2)) : Vertex V E m :=
  if h0 : i.val=0 then Sum.inl (u e)
  else if h1 : i.val=m+1 then Sum.inl (v e)
  else Sum.inr (e,⟨i.val-1,by omega⟩)

@[simp] lemma atVertex_zero (u v : E → V) (m : ℕ) (e : E) :
    atVertex u v m e 0 = Sum.inl (u e) := by simp [atVertex]

@[simp] lemma atVertex_last (u v : E → V) (m : ℕ) (e : E) :
    atVertex u v m e (Fin.last (m+1)) = Sum.inl (v e) := by simp [atVertex]

@[simp] lemma atVertex_internal (u v : E → V) (m : ℕ) (e : E) (i : Fin m) :
    atVertex u v m e i.succ.castSucc = Sum.inr (e,i) := by
  simp only [atVertex,Fin.val_castSucc,Fin.val_succ,Nat.add_eq_zero_iff,one_ne_zero,
    and_false,↓reduceDIte]
  rw [dite_eq_right (by have := i.isLt; omega)]
  rfl

lemma atVertex_eq_inr_iff (u v : E → V) (m : ℕ) (e f : E)
    (i : Fin (m+2)) (j : Fin m) :
    atVertex u v m e i = Sum.inr (f,j) ↔ e=f ∧ i.val=j.val+1 := by
  unfold atVertex
  split_ifs with h0 h1
  · simp only [false_iff,not_and]
    intro h
    have := j.isLt
    omega
  · simp only [false_iff,not_and]
    intro h
    have := j.isLt
    omega
  · simp only [Sum.inr.injEq,Prod.mk.injEq,Fin.ext_iff]
    constructor
    · rintro ⟨rfl,h⟩; exact ⟨rfl,by omega⟩
    · rintro ⟨rfl,h⟩; exact ⟨rfl,by omega⟩

lemma atVertex_eq_inl_iff (u v : E → V) (m : ℕ) (e : E)
    (i : Fin (m+2)) (x : V) :
    atVertex u v m e i = Sum.inl x ↔
      (i.val=0 ∧ u e=x) ∨ (i.val=m+1 ∧ v e=x) := by
  unfold atVertex
  split_ifs with h0 h1
  · simp [h0]
  · simp [h1]
  · simp [h0,h1]

theorem atVertex_injective (u v : E → V) (m : ℕ) (e : E) (huv : u e ≠ v e) :
    Function.Injective (atVertex u v m e) := by
  intro i j h
  by_cases hi0 : i.val=0
  · have he : atVertex u v m e i = Sum.inl (u e) := by simp [atVertex,hi0]
    have hj := (atVertex_eq_inl_iff u v m e j (u e)).mp (h.symm.trans he)
    rcases hj with hj | hj
    · apply Fin.ext; omega
    · exact False.elim (huv hj.2.symm)
  · by_cases hi1 : i.val=m+1
    · have he : atVertex u v m e i = Sum.inl (v e) := by simp [atVertex,hi1]
      have hj := (atVertex_eq_inl_iff u v m e j (v e)).mp (h.symm.trans he)
      rcases hj with hj | hj
      · exact False.elim (huv hj.2)
      · apply Fin.ext; omega
    · let k : Fin m := ⟨i.val-1,by omega⟩
      have he : atVertex u v m e i = Sum.inr (e,k) := by simp [atVertex,hi0,hi1,k]
      have hj := (atVertex_eq_inr_iff u v m e e j k).mp (h.symm.trans he)
      apply Fin.ext
      dsimp [k] at hj
      omega

theorem internal_private (u v : E → V) (m : ℕ) (e f : E) (i : Fin m)
    (j : Fin (m+2)) :
    atVertex u v m e i.succ.castSucc = atVertex u v m f j ↔
      e=f ∧ i.val+1=j.val := by
  rw [atVertex_internal,eq_comm,atVertex_eq_inr_iff]
  exact and_congr eq_comm eq_comm

def edge (u v : E → V) (m : ℕ) (e : E) (i : Fin (m+1)) : Sym2 (Vertex V E m) :=
  s(atVertex u v m e i.castSucc,atVertex u v m e i.succ)

lemma first_vertex_terminal (u v : E → V) (m : ℕ) (e : E)
    (i : Fin (m+1)) (x : V) :
    atVertex u v m e i.castSucc = Sum.inl x ↔ i.val=0 ∧ u e=x := by
  rw [atVertex_eq_inl_iff]
  have h : i.val ≠ m+1 := by omega
  simp [h]

lemma second_vertex_terminal (u v : E → V) (m : ℕ) (e : E)
    (i : Fin (m+1)) (x : V) :
    atVertex u v m e i.succ = Sum.inl x ↔ i.val=m ∧ v e=x := by
  rw [atVertex_eq_inl_iff]
  simp only [Fin.val_succ,Nat.add_eq_zero_iff,one_ne_zero,and_false,false_and,false_or,
    Nat.add_right_cancel_iff]

lemma edge_ordered_injective (u v : E → V) (m : ℕ) (hm : 1 ≤ m)
    (e f : E) (i j : Fin (m+1))
    (h0 : atVertex u v m e i.castSucc = atVertex u v m f j.castSucc)
    (h1 : atVertex u v m e i.succ = atVertex u v m f j.succ) : e=f ∧ i=j := by
  by_cases hi : i.val=0
  · have hz : atVertex u v m e i.castSucc = Sum.inl (u e) := by
      apply (first_vertex_terminal _ _ _ _ _ _).mpr; exact ⟨hi,rfl⟩
    have hj : j.val=0 := ((first_vertex_terminal _ _ _ _ _ _).mp (h0.symm.trans hz)).1
    let k : Fin m := ⟨0,by omega⟩
    have hki : i.succ = k.succ.castSucc := by apply Fin.ext; simp only [Fin.val_succ,Fin.val_castSucc]; dsimp only [k]; omega
    have hkj : j.succ = k.succ.castSucc := by apply Fin.ext; simp only [Fin.val_succ,Fin.val_castSucc]; dsimp only [k]; omega
    rw [hki,hkj,atVertex_internal,atVertex_internal] at h1
    have hef : e=f := congrArg Prod.fst (Sum.inr.inj h1)
    exact ⟨hef,Fin.ext (by omega)⟩
  · let k : Fin m := ⟨i.val-1,by omega⟩
    have hki : i.castSucc = k.succ.castSucc := by apply Fin.ext; simp only [Fin.val_succ,Fin.val_castSucc]; dsimp only [k]; omega
    rw [hki] at h0
    have hh := (internal_private u v m e f k j.castSucc).mp h0
    refine ⟨hh.1,Fin.ext ?_⟩
    dsimp [k] at hh
    omega

lemma edge_ordered_not_reverse (u v : E → V) (m : ℕ) (hm : 2 ≤ m)
    (e f : E) (i j : Fin (m+1)) :
    ¬ (atVertex u v m e i.castSucc = atVertex u v m f j.succ ∧
      atVertex u v m e i.succ = atVertex u v m f j.castSucc) := by
  rintro ⟨h0,h1⟩
  by_cases hi : i.val=0
  · have hz : atVertex u v m e i.castSucc = Sum.inl (u e) := by
      apply (first_vertex_terminal _ _ _ _ _ _).mpr; exact ⟨hi,rfl⟩
    have hj : j.val=m := ((second_vertex_terminal _ _ _ _ _ _).mp (h0.symm.trans hz)).1
    let k : Fin m := ⟨0,by omega⟩
    have hki : i.succ = k.succ.castSucc := by apply Fin.ext; simp only [Fin.val_succ,Fin.val_castSucc]; dsimp only [k]; omega
    rw [hki] at h1
    have hh := (internal_private u v m e f k j.castSucc).mp h1
    dsimp [k] at hh
    omega
  · let k : Fin m := ⟨i.val-1,by omega⟩
    have hki : i.castSucc = k.succ.castSucc := by apply Fin.ext; simp only [Fin.val_succ,Fin.val_castSucc]; dsimp only [k]; omega
    rw [hki] at h0
    have hh := (internal_private u v m e f k j.succ).mp h0
    have hij : i.val=j.val+1 := by dsimp [k] at hh; omega
    by_cases him : i.val=m
    · have hz : atVertex u v m e i.succ = Sum.inl (v e) := by
        apply (second_vertex_terminal _ _ _ _ _ _).mpr; exact ⟨him,rfl⟩
      have hj : j.val=0 := ((first_vertex_terminal _ _ _ _ _ _).mp (h1.symm.trans hz)).1
      omega
    · let l : Fin m := ⟨i.val,by omega⟩
      have hli : i.succ = l.succ.castSucc := rfl
      rw [hli] at h1
      have hh' := (internal_private u v m e f l j.castSucc).mp h1
      dsimp [l] at hh'
      omega

theorem edge_injective (u v : E → V) (m : ℕ) (hm : 2 ≤ m) :
    Function.Injective (fun q : E × Fin (m+1) => edge u v m q.1 q.2) := by
  rintro ⟨e,i⟩ ⟨f,j⟩ h
  have he := Sym2.eq_iff.mp h
  rcases he with h | h
  · have hh := edge_ordered_injective u v m (by omega) e f i j h.1 h.2
    exact Prod.ext hh.1 hh.2
  · exact False.elim (edge_ordered_not_reverse u v m hm e f i j h)

noncomputable def activity [Fintype E] (u v : E → V) (m : ℕ)
    (t : E → Fin (m+1) → ℝ) (x y : Vertex V E m) : ℝ := by
  classical
  exact ∑ q : E × Fin (m+1), if edge u v m q.1 q.2 = s(x,y) then t q.1 q.2 else 0

lemma activity_symm [Fintype E] (u v : E → V) (m : ℕ)
    (t : E → Fin (m+1) → ℝ) (x y : Vertex V E m) :
    activity u v m t x y = activity u v m t y x := by
  classical
  simp only [activity,Sym2.eq_swap]

theorem activity_on_edge [Fintype E] (u v : E → V) (m : ℕ) (hm : 2 ≤ m)
    (t : E → Fin (m+1) → ℝ) (e : E) (i : Fin (m+1)) :
    activity u v m t (atVertex u v m e i.castSucc) (atVertex u v m e i.succ) = t e i := by
  classical
  unfold activity
  rw [Finset.sum_eq_single (e,i)]
  · simp [edge]
  · intro q hq hne
    have hnot : edge u v m q.1 q.2 ≠ edge u v m e i := by
      intro he
      exact hne (edge_injective u v m hm he)
    exact ite_eq_right hnot
  · simp

lemma activity_eq_zero_of_not_edge [Fintype E] (u v : E → V) (m : ℕ)
    (t : E → Fin (m+1) → ℝ) (x y : Vertex V E m)
    (h : ∀ e i, edge u v m e i ≠ s(x,y)) : activity u v m t x y = 0 := by
  classical
  apply Finset.sum_eq_zero
  intro q hq
  exact ite_eq_right (h q.1 q.2)

theorem activity_eq_edge_or_zero [Fintype E] (u v : E → V) (m : ℕ) (hm : 2 ≤ m)
    (t : E → Fin (m+1) → ℝ) (x y : Vertex V E m) :
    activity u v m t x y = 0 ∨
      ∃ e i, edge u v m e i = s(x,y) ∧ activity u v m t x y = t e i := by
  classical
  by_cases hex : ∃ e i, edge u v m e i = s(x,y)
  · obtain ⟨e,i,he⟩ := hex
    refine Or.inr ⟨e,i,he,?_⟩
    rcases Sym2.eq_iff.mp he with he | he
    · rw [← he.1,← he.2]
      exact activity_on_edge u v m hm t e i
    · rw [← he.2,← he.1,activity_symm]
      exact activity_on_edge u v m hm t e i
  · left
    exact activity_eq_zero_of_not_edge u v m t x y (by simpa only [not_exists] using hex)

theorem internal_incident_iff (u v : E → V) (m : ℕ) (e f : E)
    (i : Fin (m+1)) (j : Fin m) :
    Sum.inr (f,j) ∈ edge u v m e i ↔
      e=f ∧ (i.val=j.val ∨ i.val=j.val+1) := by
  rw [edge,Sym2.mem_iff]
  simp only [eq_comm (a := Sum.inr (f,j)),atVertex_eq_inr_iff,Fin.val_castSucc,Fin.val_succ]
  constructor
  · rintro (⟨he,hi⟩ | ⟨he,hi⟩)
    · exact ⟨he,Or.inr hi⟩
    · exact ⟨he,Or.inl (by omega)⟩
  · rintro ⟨he,hi | hi⟩
    · exact Or.inr ⟨he,by omega⟩
    · exact Or.inl ⟨he,hi⟩

theorem internal_activity_le [Fintype E] (u v : E → V) (m : ℕ) (hm : 2 ≤ m)
    (t : E → Fin (m+1) → ℝ) (e : E) (j : Fin m) (T : ℝ) (hT : 0 ≤ T)
    (hleft : t e j.castSucc ≤ T) (hright : t e j.succ ≤ T) (y : Vertex V E m) :
    activity u v m t (Sum.inr (e,j)) y ≤ T := by
  rcases activity_eq_edge_or_zero u v m hm t (Sum.inr (e,j)) y with hzero | ⟨f,i,he,hw⟩
  · simpa [hzero] using hT
  · have hin : Sum.inr (e,j) ∈ edge u v m f i := by rw [he]; exact Sym2.mem_mk_left _ _
    obtain ⟨rfl,hi | hi⟩ := (internal_incident_iff u v m f e i j).mp hin
    · have hij : i=j.castSucc := Fin.ext hi
      simpa [hw,hij] using hleft
    · have hij : i=j.succ := Fin.ext hi
      simpa [hw,hij] using hright

def realThreshold (u v : E → V) (m : ℕ) (t : E → Fin (m+1) → ℝ)
    (τ : ℝ) : SimpleGraph (Vertex V E m) where
  Adj a b := a ≠ b ∧ ∃ e i, edge u v m e i = s(a,b) ∧ τ ≤ t e i
  symm := ⟨by rintro a b ⟨hne,e,i,he,ht⟩; exact ⟨hne.symm,e,i,by simpa only [Sym2.eq_swap] using he,ht⟩⟩
  loopless := ⟨by rintro a ⟨hne,_⟩; exact hne rfl⟩

def logicalThreshold (u v : E → V) (lam : E → ℝ) (τ : ℝ) : SimpleGraph V where
  Adj a b := a ≠ b ∧ ∃ e, s(u e,v e)=s(a,b) ∧ τ ≤ lam e
  symm := ⟨by rintro a b ⟨hne,e,he,ht⟩; exact ⟨hne.symm,e,by simpa only [Sym2.eq_swap] using he,ht⟩⟩
  loopless := ⟨by rintro a ⟨hne,_⟩; exact hne rfl⟩

def contract (u v : E → V) (m : ℕ) (c : Fin (m+1)) : Vertex V E m → V
  | Sum.inl a => a
  | Sum.inr (e,j) => if j.val < c.val then u e else v e

@[simp] lemma contract_terminal (u v : E → V) (m : ℕ) (c : Fin (m+1)) (a : V) :
    contract u v m c (Sum.inl a) = a := rfl

lemma contract_atVertex (u v : E → V) (m : ℕ) (c : Fin (m+1)) (e : E)
    (i : Fin (m+2)) : contract u v m c (atVertex u v m e i) =
      if i.val ≤ c.val then u e else v e := by
  by_cases h0 : i.val=0
  · simp [atVertex,h0,contract]
  by_cases hlast : i.val=m+1
  · have hn : ¬ i.val ≤ c.val := by omega
    simp only [atVertex,dite_eq_right h0,dite_eq_left hlast,contract,ite_eq_right hn]
  · have he : i.val-1 < c.val ↔ i.val ≤ c.val := by omega
    simp [atVertex,h0,hlast,contract,he]

lemma contracted_edge (u v : E → V) (m : ℕ) (c : Fin (m+1)) (e : E)
    (i : Fin (m+1)) :
    contract u v m c (atVertex u v m e i.castSucc) =
      contract u v m c (atVertex u v m e i.succ) ∨
    (i=c ∧ contract u v m c (atVertex u v m e i.castSucc)=u e ∧
      contract u v m c (atVertex u v m e i.succ)=v e) := by
  rw [contract_atVertex,contract_atVertex]
  simp only [Fin.val_castSucc,Fin.val_succ]
  by_cases hi : i.val < c.val
  · left; simp [show i.val ≤ c.val by omega,show i.val+1 ≤ c.val by omega]
  by_cases hi' : c.val < i.val
  · left; simp [show ¬ i.val ≤ c.val by omega,show ¬ i.val+1 ≤ c.val by omega]
  · have hic : i=c := Fin.ext (by omega)
    right; subst i; simp

lemma reachable_of_edge_reachable {W : Type*} (G : SimpleGraph V) (H : SimpleGraph W)
    (f : V → W) (hf : ∀ a b, G.Adj a b → H.Reachable (f a) (f b))
    {a b : V} (h : G.Reachable a b) : H.Reachable (f a) (f b) := by
  rw [SimpleGraph.reachable_iff_reflTransGen] at h ⊢
  induction h with
  | refl => exact Relation.ReflTransGen.refl
  | tail h he ih =>
    exact ih.trans ((SimpleGraph.reachable_iff_reflTransGen _ _).mp (hf _ _ he))

theorem threshold_contract (u v : E → V) (m : ℕ) (c : Fin (m+1))
    (lam : E → ℝ) (t : E → Fin (m+1) → ℝ) (hc : ∀ e, t e c=lam e)
    (τ : ℝ) {a b : Vertex V E m} (h : (realThreshold u v m t τ).Reachable a b) :
    (logicalThreshold u v lam τ).Reachable (contract u v m c a) (contract u v m c b) := by
  apply reachable_of_edge_reachable (realThreshold u v m t τ)
    (logicalThreshold u v lam τ) (contract u v m c) _ h
  rintro a b ⟨hab,e,i,he,ht⟩
  rcases Sym2.eq_iff.mp he with he | he
  · rw [← he.1,← he.2]
    rcases contracted_edge u v m c e i with heq | ⟨rfl,hleft,hright⟩
    · rw [heq]
    · rw [hleft,hright]
      by_cases huv : u e=v e
      · rw [huv]
      · exact SimpleGraph.Adj.reachable ⟨huv,e,rfl,by simpa [hc e] using ht⟩
  · rw [← he.2,← he.1]
    apply SimpleGraph.Reachable.symm
    rcases contracted_edge u v m c e i with heq | ⟨rfl,hleft,hright⟩
    · rw [heq]
    · rw [hleft,hright]
      by_cases huv : u e=v e
      · rw [huv]
      · exact SimpleGraph.Adj.reachable ⟨huv,e,rfl,by simpa [hc e] using ht⟩

lemma positions_reachable (G : SimpleGraph V) (m : ℕ) (f : Fin (m+2) → V)
    (hf : ∀ i : Fin (m+1), G.Reachable (f i.castSucc) (f i.succ))
    (i : Fin (m+2)) : G.Reachable (f 0) (f i) := by
  obtain ⟨i,hi⟩ := i
  induction i with
  | zero => exact SimpleGraph.Reachable.refl _
  | succ i ih =>
    have hi' : i < m+2 := by omega
    have hi'' : i < m+1 := by omega
    exact (ih hi').trans (hf ⟨i,hi''⟩)

theorem threshold_lift_edge (u v : E → V) (m : ℕ) (lam : E → ℝ)
    (t : E → Fin (m+1) → ℝ) (hm : ∀ e i, lam e ≤ t e i)
    (τ : ℝ) (e : E) (he : τ ≤ lam e) :
    (realThreshold u v m t τ).Reachable (Sum.inl (u e)) (Sum.inl (v e)) := by
  have h := positions_reachable (realThreshold u v m t τ) m (atVertex u v m e)
    (fun i => ?_) (Fin.last (m+1))
  · simpa using h
  by_cases hn : atVertex u v m e i.castSucc = atVertex u v m e i.succ
  · rw [hn]
  · exact SimpleGraph.Adj.reachable ⟨hn,e,i,rfl,he.trans (hm e i)⟩

theorem terminal_threshold_iff (u v : E → V) (m : ℕ) (c : Fin (m+1))
    (lam : E → ℝ) (t : E → Fin (m+1) → ℝ) (hc : ∀ e, t e c=lam e)
    (hm : ∀ e i, lam e ≤ t e i) (τ : ℝ) (a b : V) :
    (realThreshold u v m t τ).Reachable (Sum.inl a) (Sum.inl b) ↔
      (logicalThreshold u v lam τ).Reachable a b := by
  constructor
  · exact threshold_contract u v m c lam t hc τ
  · apply reachable_of_edge_reachable (logicalThreshold u v lam τ)
      (realThreshold u v m t τ) Sum.inl
    rintro a b ⟨hne,e,he,ht⟩
    rcases Sym2.eq_iff.mp he with he | he
    · rw [← he.1,← he.2]; exact threshold_lift_edge u v m lam t hm τ e ht
    · rw [← he.2,← he.1]; exact (threshold_lift_edge u v m lam t hm τ e ht).symm

lemma activity_on_eq [Fintype E] (u v : E → V) (m : ℕ) (hm : 2 ≤ m)
    (t : E → Fin (m+1) → ℝ) (e : E) (i : Fin (m+1)) (a b : Vertex V E m)
    (he : edge u v m e i=s(a,b)) : activity u v m t a b=t e i := by
  rcases Sym2.eq_iff.mp he with he | he
  · rw [← he.1,← he.2]; exact activity_on_edge u v m hm t e i
  · rw [← he.2,← he.1,activity_symm]; exact activity_on_edge u v m hm t e i

theorem realThreshold_adj_iff [Fintype E] (u v : E → V) (m : ℕ) (hm : 2 ≤ m)
    (t : E → Fin (m+1) → ℝ) (τ : ℝ) (hτ : 0 < τ) (a b : Vertex V E m) :
    (realThreshold u v m t τ).Adj a b ↔ a ≠ b ∧ τ ≤ activity u v m t a b := by
  constructor
  · rintro ⟨hne,e,i,he,ht⟩
    exact ⟨hne,by rwa [activity_on_eq u v m hm t e i a b he]⟩
  · rintro ⟨hne,ht⟩
    rcases activity_eq_edge_or_zero u v m hm t a b with hzero | ⟨e,i,he,hw⟩
    · rw [hzero] at ht; exact False.elim (not_le_of_gt hτ ht)
    · exact ⟨hne,e,i,he,by rwa [hw] at ht⟩

theorem path_interval_reachable (u v : E → V) (m : ℕ)
    (t : E → Fin (m+1) → ℝ) (τ : ℝ) (e : E)
    (i j : Fin (m+2)) (hij : i.val ≤ j.val)
    (ht : ∀ k : Fin (m+1), i.val ≤ k.val → k.val < j.val → τ ≤ t e k) :
    (realThreshold u v m t τ).Reachable (atVertex u v m e i) (atVertex u v m e j) := by
  have aux : ∀ (k : ℕ) (hk : k < m+2), i.val ≤ k →
      (∀ q : Fin (m+1), i.val ≤ q.val → q.val < k → τ ≤ t e q) →
      (realThreshold u v m t τ).Reachable (atVertex u v m e i)
        (atVertex u v m e ⟨k,hk⟩) := by
    intro k
    induction k with
    | zero =>
      intro hk hik hq
      have he : i=⟨0,hk⟩ := Fin.ext (by change i.val = 0; omega)
      rw [he]
    | succ k ih =>
      intro hk hik hq
      by_cases he : i.val=k+1
      · have hei : i=⟨k+1,hk⟩ := Fin.ext he
        rw [hei]
      have hki : i.val ≤ k := by omega
      have hk' : k < m+2 := by omega
      have hk'' : k < m+1 := by omega
      have hprior := ih hk' hki (fun q hiq hqk => hq q hiq (by omega))
      apply hprior.trans
      by_cases hn : atVertex u v m e ⟨k,hk'⟩ = atVertex u v m e ⟨k+1,hk⟩
      · rw [hn]
      · exact SimpleGraph.Adj.reachable ⟨hn,e,⟨k,hk''⟩,rfl,hq ⟨k,hk''⟩ hki (Nat.lt_succ_self k)⟩
  exact aux j.val j.isLt hij ht

end MatchingFPRAS.RealGeometry

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_PathActivity
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open Finset

variable {V E : Type*} [Fintype V] [LinearOrder V] [Fintype E] [LinearOrder E]

instance vertexLinearOrder (m : ℕ) : LinearOrder (Vertex V E m) := by
  letI : LinearOrder (E × Fin m) := LinearOrder.lift' (toLex : E × Fin m → E ×ₗ Fin m) (fun _ _ h => h)
  exact LinearOrder.lift' (toLex : V ⊕ (E × Fin m) → V ⊕ₗ (E × Fin m)) (fun _ _ h => h)

omit [Fintype V] [Fintype E] in
@[simp] lemma terminal_lt_iff (m : ℕ) (a b : V) :
    @LT.lt (Vertex V E m) (vertexLinearOrder (V := V) (E := E) m).toLT (Sum.inl a) (Sum.inl b) ↔ a < b := by
  change Sum.Lex (· < · : V → V → Prop) _ (Sum.inl a) (Sum.inl b) ↔ a < b
  exact Sum.lex_inl_inl

omit [Fintype V] in
lemma real_threshold_eq [Fintype V] (u v : E → V) (m : ℕ) (hm : 2 ≤ m)
    (t : E → Fin (m+1) → ℝ) (τ : ℝ) (hτ : 0 < τ) :
    thresholdGraph (activity u v m t) τ=realThreshold u v m t τ := by
  ext a b
  rw [realThreshold_adj_iff u v m hm t τ hτ]
  change (a ≠ b ∧ τ ≤ edgeActivity (activity u v m t) a b) ↔ _
  rw [edgeActivity_of_symmetric _ (activity_symm u v m t)]

theorem interval_le_bottleneck (u v : E → V) (m : ℕ) (hm : 2 ≤ m)
    (huv : ∀ e, u e ≠ v e) (t : E → Fin (m+1) → ℝ) (e : E)
    (i j : Fin (m+2)) (hij : i.val < j.val) (T : ℝ)
    (ht : ∀ k : Fin (m+1), i.val ≤ k.val → k.val < j.val → T ≤ t e k) :
    T ≤ bottleneck (activity u v m t) (atVertex u v m e i) (atVertex u v m e j) := by
  by_cases hT : 1 < T
  · apply (bottleneck_threshold _ _ _ ?_ T hT).mpr
    · rw [real_threshold_eq u v m hm t T (by linarith)]
      exact path_interval_reachable u v m t T e i j hij.le ht
    · intro he
      have := congrArg Fin.val (atVertex_injective u v m e (huv e) he)
      omega
  · exact (le_of_not_gt hT).trans (one_le_bottleneck _ _ _)

noncomputable def pathActivity (p : ℕ) (B Hu Hv lam : E → ℝ) : E → Fin (4*p+1) → ℝ :=
  fun e => profileActivity p (B e) (Hu e) (Hv e) (lam e)

noncomputable def realBottleneck (u v : E → V) (p : ℕ) (B Hu Hv lam : E → ℝ) :
    Vertex V E (4*p) → Vertex V E (4*p) → ℝ :=
  bottleneck (activity u v (4*p) (pathActivity p B Hu Hv lam))

theorem realBottleneck_internal_cap (u v : E → V) (p : ℕ) (hp : 1 ≤ p)
    (B Hu Hv lam : E → ℝ) (hB : ∀ e, 1 ≤ B e) (hHu : ∀ e, 0 ≤ Hu e)
    (hHv : ∀ e, 0 ≤ Hv e) (hlam : ∀ e, lam e ≤ B e) (e : E) (j : Fin (4*p))
    (a : Vertex V E (4*p)) :
    realBottleneck u v p B Hu Hv lam (Sum.inr (e,j)) a ≤
      internalStrength p (B e) (Hu e) (Hv e) j := by
  apply bottleneck_le_row_bound
  · exact (hB e).trans (le_internalStrength _ _ _ _ _)
  · intro b hb
    rw [edgeActivity_of_symmetric _ (activity_symm _ _ _ _)]
    apply internal_activity_le u v (4*p) (by omega)
    · exact (zero_le_one.trans (hB e)).trans (le_internalStrength _ _ _ _ _)
    · exact (internalStrength_incident p (B e) (Hu e) (Hv e) (lam e)
        (hHu e) (hHv e) (hlam e) j).1
    · exact (internalStrength_incident p (B e) (Hu e) (Hv e) (lam e)
        (hHu e) (hHv e) (hlam e) j).2

theorem realBottleneck_left_home (u v : E → V) (huv : ∀ e, u e ≠ v e)
    (p : ℕ) (hp : 1 ≤ p) (B Hu Hv lam : E → ℝ) (hHu : ∀ e, 0 ≤ Hu e)
    (e : E) (j : Fin (4*p)) (hj : j.val < 2*p) :
    internalStrength p (B e) (Hu e) (Hv e) j ≤
      realBottleneck u v p B Hu Hv lam (Sum.inr (e,j)) (Sum.inl (u e)) := by
  rw [realBottleneck,bottleneck_comm]
  have h := interval_le_bottleneck u v (4*p) (by omega) huv
    (pathActivity p B Hu Hv lam) e 0 j.succ.castSucc (by simp) _
    (fun k _ hk => internalStrength_left_leg p (B e) (Hu e) (Hv e) (lam e)
      (hHu e) j hj k (by simp only [Fin.val_castSucc,Fin.val_succ] at hk; omega))
  simpa only [atVertex_zero,atVertex_internal,atVertex_last,realBottleneck] using h

 theorem realBottleneck_right_home (u v : E → V) (huv : ∀ e, u e ≠ v e)
    (p : ℕ) (hp : 1 ≤ p) (B Hu Hv lam : E → ℝ) (hHv : ∀ e, 0 ≤ Hv e)
    (e : E) (j : Fin (4*p)) (hj : ¬ j.val < 2*p) :
    internalStrength p (B e) (Hu e) (Hv e) j ≤
      realBottleneck u v p B Hu Hv lam (Sum.inr (e,j)) (Sum.inl (v e)) := by
  have h := interval_le_bottleneck u v (4*p) (by omega) huv
    (pathActivity p B Hu Hv lam) e j.succ.castSucc (Fin.last (4*p+1))
    (by simp only [Fin.val_castSucc,Fin.val_succ,Fin.val_last]; omega) _
    (fun k hk _ => internalStrength_right_leg p (B e) (Hu e) (Hv e) (lam e)
      (hHv e) j hj k (by simpa only [Fin.val_castSucc,Fin.val_succ] using hk))
  simpa only [atVertex_zero,atVertex_internal,atVertex_last,realBottleneck] using h

noncomputable def leftFactor (p : ℕ) (B Hu Hv lam : ℝ) (j : Fin (4*p)) : ℝ :=
  if j.val < 2*p then 1 else lam / internalStrength p B Hu Hv j

noncomputable def rightFactor (p : ℕ) (B Hu Hv lam : ℝ) (j : Fin (4*p)) : ℝ :=
  if j.val < 2*p then lam / internalStrength p B Hu Hv j else 1

noncomputable def neutralFactor (p : ℕ) (B Hu Hv lam : ℝ) (j k : Fin (4*p)) : ℝ :=
  if k.val < 2*p then (internalStrength p B Hu Hv j)⁻¹
  else if j.val < 2*p then lam / (internalStrength p B Hu Hv j * internalStrength p B Hu Hv k)
  else (internalStrength p B Hu Hv k)⁻¹

abbrev LogicalEdge (V : Type*) [LinearOrder V] := {q : V × V // q.1 < q.2}

instance logicalEdgeLinearOrder : LinearOrder (LogicalEdge V) :=
  LinearOrder.lift' (fun e => toLex e.val) (fun _ _ h => Subtype.ext h)

def source (e : LogicalEdge V) : V := e.val.1

def target (e : LogicalEdge V) : V := e.val.2

omit [Fintype V] in
lemma source_ne_target [Fintype V] (e : LogicalEdge V) : source e ≠ target e := e.property.ne

def logicalActivity (w : V → V → ℝ) (e : LogicalEdge V) : ℝ :=
  edgeActivity w (source e) (target e)

omit [Fintype V] in
lemma logical_threshold_eq [Fintype V] (w : V → V → ℝ) (τ : ℝ) :
    logicalThreshold source target (logicalActivity w) τ=thresholdGraph w τ := by
  ext a b
  change (a ≠ b ∧ ∃ e : LogicalEdge V, s(source e,target e)=s(a,b) ∧ τ ≤ logicalActivity w e) ↔
    (a ≠ b ∧ τ ≤ edgeActivity w a b)
  constructor
  · rintro ⟨hne,e,he,ht⟩
    refine ⟨hne,?_⟩
    rcases Sym2.eq_iff.mp he with he | he
    · simpa only [logicalActivity,he.1,he.2] using ht
    · simpa only [logicalActivity,he.1,he.2,edgeActivity_comm w b a] using ht
  · rintro ⟨hne,ht⟩
    refine ⟨hne,?_⟩
    rcases lt_or_gt_of_ne hne with hab | hab
    · exact ⟨⟨(a,b),hab⟩,rfl,ht⟩
    · exact ⟨⟨(b,a),hab⟩,Sym2.eq_swap,by simpa [logicalActivity,source,target,edgeActivity_comm w b a] using ht⟩

theorem terminal_bottleneck (w : V → V → ℝ) (p : ℕ) (hp : 1 ≤ p)
    (Hu Hv : LogicalEdge V → ℝ) (a b : V) :
    realBottleneck source target p (fun e => bottleneck w (source e) (target e))
      Hu Hv (logicalActivity w) (Sum.inl a) (Sum.inl b) = bottleneck w a b := by
  by_cases hab : a=b
  · subst b; simp [realBottleneck,bottleneck]
  apply bottleneck_eq_of_threshold_iff _ w _ _ a b (Sum.inl_injective.ne hab) hab
  intro τ hτ
  rw [real_threshold_eq source target (4*p) (by omega) _ τ (by linarith)]
  rw [terminal_threshold_iff source target (4*p) ⟨2*p,by omega⟩
    (logicalActivity w) (pathActivity p (fun e => bottleneck w (source e) (target e)) Hu Hv (logicalActivity w))
    (fun e => profile_center p _ _ _ _) ?_ τ a b]
  · rw [logical_threshold_eq]
  · intro e i
    exact profile_lower p _ _ _ _ (edgeActivity_le_bottleneck w (source e) (target e)
      (source_ne_target e)) i

noncomputable def enlargedHoles (m : ℕ) (R₀ : Finset V) (U : E → Finset (Fin m)) :
    Finset (Vertex V E m) :=
  R₀.map ⟨Sum.inl,Sum.inl_injective⟩ ∪
    Finset.univ.biUnion (fun e => (U e).map ⟨fun j => Sum.inr (e,j),fun _ _ h => congrArg Prod.snd (Sum.inr_injective h)⟩)

omit [Fintype V] in
@[simp] lemma mem_enlargedHoles_left [Fintype V] (m : ℕ) (R₀ : Finset V) (U : E → Finset (Fin m)) (x : V) :
    Sum.inl x ∈ enlargedHoles m R₀ U ↔ x ∈ R₀ := by
  classical
  simp [enlargedHoles]

omit [Fintype V] in
@[simp] lemma mem_enlargedHoles_right [Fintype V] (m : ℕ) (R₀ : Finset V) (U : E → Finset (Fin m))
    (e : E) (j : Fin m) : Sum.inr (e,j) ∈ enlargedHoles m R₀ U ↔ j ∈ U e := by
  classical
  simp only [enlargedHoles,Finset.mem_union,Finset.mem_map,Finset.mem_biUnion,
    Finset.mem_univ,true_and]
  constructor
  · rintro (⟨x,hx,hxx⟩ | ⟨e',j',hj,hjj⟩)
    · change (Sum.inl x : Vertex V E m)=Sum.inr (e,j) at hxx
      cases hxx
    · have hh := Prod.mk.inj (Sum.inr_injective hjj)
      rcases hh with ⟨hee,hjj⟩
      subst e'; subst j'; exact hj
  · intro hj; exact Or.inr ⟨e,j,hj,rfl⟩

noncomputable def neutralPairs (m : ℕ) (d : E → HoleBlocks m) :
    List (Vertex V E m × Vertex V E m) :=
  Finset.univ.toList.flatMap (fun e => (d e).neutral.map
    (fun q => (Sum.inr (e,q.1),Sum.inr (e,q.2))))

noncomputable def consumedPairs (u v : E → V) (m : ℕ) (d : E → HoleBlocks m) :
    List (Vertex V E m × Vertex V E m) :=
  Finset.univ.toList.flatMap (fun e =>
    (d e).left.toList.map (fun j => (Sum.inr (e,j),Sum.inl (u e))) ++
    (d e).right.toList.map (fun j => (Sum.inr (e,j),Sum.inl (v e))))

omit [Fintype V] [LinearOrder V] [LinearOrder E] in
@[simp] lemma mem_neutralPairs [Fintype V] [LinearOrder V] [LinearOrder E]
    {m : ℕ} (d : E → HoleBlocks m) (q : Vertex V E m × Vertex V E m) :
    q ∈ neutralPairs m d ↔ ∃ e r, r ∈ (d e).neutral ∧ q=(Sum.inr (e,r.1),Sum.inr (e,r.2)) := by
  classical
  simp only [neutralPairs,List.mem_flatMap,Finset.mem_toList,Finset.mem_univ,true_and,List.mem_map]
  constructor
  · rintro ⟨e,r,hr,he⟩; exact ⟨e,r,hr,he.symm⟩
  · rintro ⟨e,r,hr,rfl⟩; exact ⟨e,r,hr,rfl⟩

omit [Fintype V] [LinearOrder V] [LinearOrder E] in
@[simp] lemma mem_consumedPairs [Fintype V] [LinearOrder V] [LinearOrder E]
    {m : ℕ} (u v : E → V) (d : E → HoleBlocks m)
    (q : Vertex V E m × Vertex V E m) :
    q ∈ consumedPairs u v m d ↔ ∃ e j,
      (j ∈ (d e).left ∧ q=(Sum.inr (e,j),Sum.inl (u e))) ∨
      (j ∈ (d e).right ∧ q=(Sum.inr (e,j),Sum.inl (v e))) := by
  classical
  simp only [consumedPairs,List.mem_flatMap,Finset.mem_toList,Finset.mem_univ,true_and,
    List.mem_append,List.mem_map,Option.mem_toList]
  constructor
  · rintro ⟨e,h | h⟩
    · obtain ⟨j,hj,he⟩ := h; exact ⟨e,j,Or.inl ⟨hj,he.symm⟩⟩
    · obtain ⟨j,hj,he⟩ := h; exact ⟨e,j,Or.inr ⟨hj,he.symm⟩⟩
  · rintro ⟨e,j,h | h⟩
    · exact ⟨e,Or.inl ⟨j,h.1,h.2.symm⟩⟩
    · exact ⟨e,Or.inr ⟨j,h.1,h.2.symm⟩⟩

end MatchingFPRAS.Enlargement

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_Related
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open Finset

variable {V E : Type*} [Fintype V] [LinearOrder V] [Fintype E] [LinearOrder E]

lemma edge_activity_le_realBottleneck (u v : E → V) (huv : ∀ e, u e ≠ v e)
    (p : ℕ) (hp : 1 ≤ p) (B Hu Hv lam : E → ℝ) (e : E) (i : Fin (4*p+1)) :
    pathActivity p B Hu Hv lam e i ≤ realBottleneck u v p B Hu Hv lam
      (atVertex u v (4*p) e i.castSucc) (atVertex u v (4*p) e i.succ) := by
  apply interval_le_bottleneck u v (4*p) (by omega) huv (pathActivity p B Hu Hv lam) e
    i.castSucc i.succ (by simp)
  intro k hk hk'
  have he : k=i := Fin.ext (by simp only [Fin.val_castSucc,Fin.val_succ] at hk hk'; omega)
  subst k
  exact le_rfl

theorem realBottleneck_noncentral_edge (u v : E → V) (huv : ∀ e, u e ≠ v e)
    (p : ℕ) (hp : 1 ≤ p) (B Hu Hv lam : E → ℝ) (hB : ∀ e, 1 ≤ B e)
    (hHu : ∀ e, 0 ≤ Hu e) (hHv : ∀ e, 0 ≤ Hv e) (hlam : ∀ e, lam e ≤ B e)
    (e : E) (i : Fin (4*p+1)) (hi : i.val ≠ 2*p) :
    realBottleneck u v p B Hu Hv lam (atVertex u v (4*p) e i.castSucc)
      (atVertex u v (4*p) e i.succ) = pathActivity p B Hu Hv lam e i := by
  apply le_antisymm _ (edge_activity_le_realBottleneck u v huv p hp B Hu Hv lam e i)
  rcases lt_or_gt_of_ne hi with hi | hi
  · let j : Fin (4*p) := ⟨i.val,by omega⟩
    have hv : atVertex u v (4*p) e i.succ=Sum.inr (e,j) :=
      (atVertex_eq_inr_iff u v (4*p) e e i.succ j).mpr ⟨rfl,rfl⟩
    rw [hv,realBottleneck,bottleneck_comm]
    have hc := realBottleneck_internal_cap u v p hp B Hu Hv lam hB hHu hHv hlam e j
      (atVertex u v (4*p) e i.castSucc)
    simpa [realBottleneck,pathActivity,internalStrength,show j.val<2*p from hi,
      profile_left p (B e) (Hu e) (Hv e) (lam e) i hi,j] using hc
  · let j : Fin (4*p) := ⟨i.val-1,by have := i.isLt; omega⟩
    have hv : atVertex u v (4*p) e i.castSucc=Sum.inr (e,j) :=
      (atVertex_eq_inr_iff u v (4*p) e e i.castSucc j).mpr ⟨rfl,by dsimp [j]; omega⟩
    rw [hv]
    have hc := realBottleneck_internal_cap u v p hp B Hu Hv lam hB hHu hHv hlam e j
      (atVertex u v (4*p) e i.succ)
    have hj : ¬ j.val < 2*p := by dsimp [j]; omega
    have he : j.val+1=i.val := by dsimp [j]; omega
    simpa only [pathActivity,profile_right p (B e) (Hu e) (Hv e) (lam e) i hi,
      internalStrength,ite_eq_right hj,he] using hc

variable {V : Type*} [Fintype V] [LinearOrder V]

theorem realBottleneck_central_edge (w : V → V → ℝ) (p : ℕ) (hp : 1 ≤ p)
    (Hu Hv : LogicalEdge V → ℝ) (hHu : ∀ e, 0 ≤ Hu e) (hHv : ∀ e, 0 ≤ Hv e)
    (hinner : ∀ e, max (bottleneck w (source e) (target e)) (Hu e/2^(p-1)) =
      bottleneck w (source e) (target e)) (e : LogicalEdge V) :
    realBottleneck source target p (fun e => bottleneck w (source e) (target e))
      Hu Hv (logicalActivity w)
      (atVertex source target (4*p) e ⟨2*p,by omega⟩)
      (atVertex source target (4*p) e ⟨2*p+1,by omega⟩) =
      bottleneck w (source e) (target e) := by
  let B := fun e : LogicalEdge V => bottleneck w (source e) (target e)
  let j : Fin (4*p) := ⟨2*p-1,by omega⟩
  let k : Fin (4*p) := ⟨2*p,by omega⟩
  have hj : j.val < 2*p := by dsimp [j]; omega
  have hk : ¬ k.val < 2*p := by simp [k]
  have hjk : j≠k := by intro h; have := congrArg Fin.val h; dsimp [j,k] at this; omega
  have hjv : atVertex source target (4*p) e ⟨2*p,by omega⟩ = Sum.inr (e,j) :=
    (atVertex_eq_inr_iff _ _ _ _ _ _ _).mpr ⟨rfl,by dsimp [j]; omega⟩
  have hkv : atVertex source target (4*p) e ⟨2*p+1,by omega⟩ = Sum.inr (e,k) :=
    (atVertex_eq_inr_iff _ _ _ _ _ _ _).mpr ⟨rfl,rfl⟩
  rw [hjv,hkv]
  have hsj : internalStrength p (B e) (Hu e) (Hv e) j=B e := by
    rw [internalStrength,ite_eq_left hj]
    have hdiv : j.val/2=p-1 := by dsimp [j]; omega
    rw [hdiv]
    exact hinner e
  apply le_antisymm
  · have hc := realBottleneck_internal_cap source target p hp B Hu Hv (logicalActivity w)
        (fun e => one_le_bottleneck w _ _) hHu hHv
        (fun e => edgeActivity_le_bottleneck w _ _ (source_ne_target e)) e j (Sum.inr (e,k))
    exact (hc.trans_eq hsj)
  · let t := activity source target (4*p) (pathActivity p B Hu Hv (logicalActivity w))
    have hleft : B e ≤ bottleneck t (Sum.inr (e,j)) (Sum.inl (source e)) :=
      (le_internalStrength p (B e) (Hu e) (Hv e) j).trans
        (realBottleneck_left_home source target source_ne_target p hp B Hu Hv (logicalActivity w) hHu e j hj)
    have hright : B e ≤ bottleneck t (Sum.inr (e,k)) (Sum.inl (target e)) :=
      (le_internalStrength p (B e) (Hu e) (Hv e) k).trans
        (realBottleneck_right_home source target source_ne_target p hp B Hu Hv (logicalActivity w) hHv e k hk)
    have hterm : bottleneck t (Sum.inl (source e)) (Sum.inl (target e))=B e :=
      terminal_bottleneck w p hp Hu Hv _ _
    have hx : B e ≤ bottleneck t (Sum.inr (e,j)) (Sum.inl (target e)) := by
      have ht := bottleneck_ultrametric t (Sum.inr (e,j)) (Sum.inl (target e)) (Sum.inl (source e))
        (by simp) (by simp) (by simpa using (source_ne_target e).symm)
      exact ((le_min hleft hterm.ge).trans ht)
    have htri := bottleneck_ultrametric t (Sum.inr (e,j)) (Sum.inr (e,k)) (Sum.inl (target e))
      (by simpa using hjk) (by simp) (by simp)
    rw [bottleneck_comm t (Sum.inl (target e)) (Sum.inr (e,k))] at htri
    exact (le_min hx hright).trans htri

theorem source_effective_profile (w : V → V → ℝ) (p : ℕ) (hp : 1≤p)
    (Hu Hv : LogicalEdge V → ℝ) (hHu : ∀ e, 0≤Hu e) (hHv : ∀ e, 0≤Hv e)
    (hinner : ∀ e, max (bottleneck w (source e) (target e)) (Hu e/2^(p-1)) =
      bottleneck w (source e) (target e)) (e : LogicalEdge V) (i : Fin (4*p+1)) :
    realBottleneck source target p (fun e => bottleneck w (source e) (target e)) Hu Hv
      (logicalActivity w) (atVertex source target (4*p) e i.castSucc)
      (atVertex source target (4*p) e i.succ) =
      profileActivity p (bottleneck w (source e) (target e)) (Hu e) (Hv e)
        (bottleneck w (source e) (target e)) i := by
  by_cases hi : i.val=2*p
  · have he : i=⟨2*p,by omega⟩ := Fin.ext hi
    rw [he,profile_center]
    exact realBottleneck_central_edge w p hp Hu Hv hHu hHv hinner e
  · rw [realBottleneck_noncentral_edge source target source_ne_target p hp _ Hu Hv
      (logicalActivity w) (fun _ => one_le_bottleneck _ _ _) hHu hHv
      (fun e => edgeActivity_le_bottleneck w _ _ (source_ne_target e)) e i hi]
    rcases lt_or_gt_of_ne hi with hi | hi
    · simp only [pathActivity,profile_left _ _ _ _ _ _ hi]
    · simp only [pathActivity,profile_right _ _ _ _ _ _ hi]

omit [Fintype V] [LinearOrder V] in
theorem effective_profile_incident_near {E : Type*} (u v : E → V)
    (p : ℕ) (hp : 1≤p) (B : E → ℝ) (H : V → ℝ)
    (hB : ∀ e, 0≤B e) (hH : ∀ x, 0≤H x)
    (hdom : ∀ e, B e≤H (u e) ∧ B e≤H (v e))
    (hinnerL : ∀ e, max (B e) (H (u e)/2^(p-1))=B e)
    (hinnerR : ∀ e, max (B e) (H (v e)/2^(p-1))=B e)
    (x : Vertex V E (4*p)) (e f : E) (i j : Fin (4*p+1))
    (he : x=atVertex u v (4*p) e i.castSucc ∨ x=atVertex u v (4*p) e i.succ)
    (hf : x=atVertex u v (4*p) f j.castSucc ∨ x=atVertex u v (4*p) f j.succ) :
    profileActivity p (B e) (H (u e)) (H (v e)) (B e) i ≤
      2*profileActivity p (B f) (H (u f)) (H (v f)) (B f) j := by
  cases x with
  | inl x =>
    have ht (g : E) (k : Fin (4*p+1))
        (hg : Sum.inl x=atVertex u v (4*p) g k.castSucc ∨ Sum.inl x=atVertex u v (4*p) g k.succ) :
        profileActivity p (B g) (H (u g)) (H (v g)) (B g) k=H x := by
      rcases hg with hg | hg
      · obtain ⟨hk,hx⟩ := (first_vertex_terminal u v (4*p) g k x).mp hg.symm
        rw [profile_left _ _ _ _ _ _ (by omega),hk]
        simp only [Nat.zero_div,pow_zero,div_one,max_eq_right (hdom g).1]
        exact congrArg H hx
      · obtain ⟨hk,hx⟩ := (second_vertex_terminal u v (4*p) g k x).mp hg.symm
        rw [profile_right _ _ _ _ _ _ (by omega),hk]
        simp only [Nat.sub_self,Nat.zero_div,pow_zero,div_one,max_eq_right (hdom g).2]
        exact congrArg H hx
    rw [ht e i he,ht f j hf]
    linarith [hH x]
  | inr z =>
    rcases z with ⟨g,k⟩
    have hi : e=g ∧ (i.val=k.val ∨ i.val=k.val+1) := by
      rcases he with he | he
      · have hh := (atVertex_eq_inr_iff u v (4*p) e g i.castSucc k).mp he.symm
        exact ⟨hh.1,Or.inr hh.2⟩
      · have hh := (atVertex_eq_inr_iff u v (4*p) e g i.succ k).mp he.symm
        exact ⟨hh.1,Or.inl (by simpa using hh.2)⟩
    have hj : f=g ∧ (j.val=k.val ∨ j.val=k.val+1) := by
      rcases hf with hf | hf
      · have hh := (atVertex_eq_inr_iff u v (4*p) f g j.castSucc k).mp hf.symm
        exact ⟨hh.1,Or.inr hh.2⟩
      · have hh := (atVertex_eq_inr_iff u v (4*p) f g j.succ k).mp hf.symm
        exact ⟨hh.1,Or.inl (by simpa using hh.2)⟩
    obtain ⟨rfl,hi⟩ := hi
    obtain ⟨rfl,hj⟩ := hj
    have hnear := profile_adjacent_near p hp (B f) (H (u f)) (H (v f))
      (hB f) (hH _) (hH _) (hinnerL f) (hinnerR f) k
    rcases hi with hi | hi <;> rcases hj with hj | hj
    · have heq : i=j := Fin.ext (hi.trans hj.symm)
      rw [heq]
      have hn := (hB f).trans (profile_lower p (B f) (H (u f)) (H (v f)) (B f) le_rfl j)
      linarith
    · have hi' : i=k.castSucc := Fin.ext hi
      have hj' : j=k.succ := Fin.ext hj
      simpa [hi',hj'] using hnear.1
    · have hi' : i=k.succ := Fin.ext hi
      have hj' : j=k.castSucc := Fin.ext hj
      simpa [hi',hj'] using hnear.2
    · have heq : i=j := Fin.ext (hi.trans hj.symm)
      rw [heq]
      have hn := (hB f).trans (profile_lower p (B f) (H (u f)) (H (v f)) (B f) le_rfl j)
      linarith

end MatchingFPRAS.Enlargement

namespace MatchingFPRAS.Hierarchy

variable {V : Type*} [Fintype V]

variable (B : V → V → ℝ)

variable (hsym : ∀ a b, B a b = B b a)

variable (htri : ∀ a b c, a ≠ b → a ≠ c → b ≠ c → min (B a c) (B c b) ≤ B a b)

def Related (t : ℝ) (a b : V) : Prop := a=b ∨ t ≤ B a b

omit [Fintype V] in
include hsym in
lemma related_symm (t : ℝ) {a b : V} (h : Related B t a b) : Related B t b a := by
  rcases h with h | h
  · exact Or.inl h.symm
  · exact Or.inr (by rwa [hsym])

omit [Fintype V] in
include htri in
lemma related_trans (t : ℝ) {a b c : V} (hab : Related B t a b) (hbc : Related B t b c) :
    Related B t a c := by
  rcases hab with rfl | hab
  · exact hbc
  rcases hbc with rfl | hbc
  · exact Or.inr hab
  by_cases hac : a=c
  · exact Or.inl hac
  by_cases hab' : a=b
  · subst b; exact Or.inr hbc
  by_cases hbc' : c=b
  · subst c; exact Or.inr hab
  exact Or.inr ((le_min hab hbc).trans (htri a c b hac hab' hbc'))

def thresholdSetoid (t : ℝ) : Setoid V where
  r := Related B t
  iseqv := ⟨fun _ => Or.inl rfl,related_symm B hsym t,related_trans B htri t⟩

abbrev Component (t : ℝ) := Quotient (thresholdSetoid B hsym htri t)

abbrev Label (H : ℕ) := (k : Fin (H+1)) × Component B hsym htri (2^k.val)

def labelAt {H : ℕ} (k : Fin (H+1)) (x : V) : Label B hsym htri H :=
  ⟨k,Quotient.mk _ x⟩

variable (hfloor : ∀ a b, 1 ≤ B a b)

noncomputable def dyadicLevel (H : ℕ) (x : ℝ) : Fin (H+1) := by
  classical
  exact ⟨Nat.findGreatest (fun k => (2:ℝ)^k ≤ x) H,
    Nat.lt_succ_of_le (Nat.findGreatest_le H)⟩

lemma dyadic_upper (H : ℕ) (x : ℝ) (hx : x ≤ (2:ℝ)^H) :
    x < (2:ℝ)^((dyadicLevel H x).val+1) := by
  classical
  by_cases he : (dyadicLevel H x).val=H
  · rw [he,pow_succ]
    have : 0 < (2:ℝ)^H := by positivity
    linarith
  · by_contra hn
    have hle : (dyadicLevel H x).val+1 ≤ H := by have := (dyadicLevel H x).isLt; omega
    have hg := Nat.le_findGreatest (P := fun k => (2:ℝ)^k ≤ x) hle (le_of_not_gt hn)
    change (dyadicLevel H x).val+1 ≤ (dyadicLevel H x).val at hg
    omega

variable {E : Type*} [Fintype E] (left right : E → V) (H : ℕ)

def Incident (e : E) (x : V) : Prop := x=left e ∨ x=right e

noncomputable def edgeLabel (e : E) : Label B hsym htri H :=
  labelAt B hsym htri (dyadicLevel H (B (left e) (right e))) (left e)

noncomputable def memberships (x : V) : Finset (Label B hsym htri H) := by
  classical
  exact (Finset.univ.filter (fun e => Incident left right e x)).image
    (edgeLabel B hsym htri left right H)

omit [Fintype V] in
lemma mem_memberships (x : V) (l : Label B hsym htri H) :
    l ∈ memberships B hsym htri left right H x ↔
      ∃ e, Incident left right e x ∧ edgeLabel B hsym htri left right H e=l := by
  classical
  simp [memberships]

end MatchingFPRAS.Hierarchy

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_Height
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open MatchingFPRAS.Hierarchy Finset

variable {V : Type*} [Fintype V] [LinearOrder V] [Nontrivial V]

lemma row_nonempty (x : V) : (Finset.univ.erase x : Finset V).Nonempty := by
  obtain ⟨y,hy⟩ := exists_ne x
  exact ⟨y,by simp [hy]⟩

noncomputable def sourceHeight (w : V → V → ℝ) (x : V) : ℝ :=
  (Finset.univ.erase x).sup' (row_nonempty x) (bottleneck w x)

lemma bottleneck_le_sourceHeight (w : V → V → ℝ) {x y : V} (hxy : x ≠ y) :
    bottleneck w x y ≤ sourceHeight w x :=
  Finset.le_sup' (bottleneck w x) (by simp [hxy.symm])

lemma one_le_sourceHeight (w : V → V → ℝ) (x : V) : 1 ≤ sourceHeight w x := by
  obtain ⟨y,hy⟩ := exists_ne x
  exact (one_le_bottleneck w x y).trans (bottleneck_le_sourceHeight w hy.symm)

lemma sourceHeight_nonneg (w : V → V → ℝ) (x : V) : 0 ≤ sourceHeight w x :=
  zero_le_one.trans (one_le_sourceHeight w x)

lemma sourceHeight_bound (w : V → V → ℝ) (K : ℕ)
    (hw : ∀ x y, x ≠ y → edgeActivity w x y ≤ (4:ℝ)^K) (x : V) : sourceHeight w x ≤ 4^K := by
  apply Finset.sup'_le
  intro y hy
  exact bottleneck_le_row_bound w x (4^K) (one_le_pow₀ (by norm_num)) (hw x) y

noncomputable def maxSourceHeight (w : V → V → ℝ) : ℝ :=
  Finset.univ.sup' Finset.univ_nonempty (sourceHeight w)

lemma sourceHeight_le_max (w : V → V → ℝ) (x : V) : sourceHeight w x ≤ maxSourceHeight w :=
  Finset.le_sup' (sourceHeight w) (Finset.mem_univ x)

lemma maxSourceHeight_bound (w : V → V → ℝ) (K : ℕ)
    (hw : ∀ x y, x ≠ y → edgeActivity w x y ≤ (4:ℝ)^K) : maxSourceHeight w ≤ 4^K := by
  exact Finset.sup'_le _ _ (fun x _ => sourceHeight_bound w K hw x)

noncomputable def sourceLevels (w : V → V → ℝ) (K : ℕ) : ℕ :=
  (dyadicLevel (2*K) (maxSourceHeight w)).val

lemma sourceLevels_le (w : V → V → ℝ) (K : ℕ) : sourceLevels w K ≤ 2*K := by
  have := (dyadicLevel (2*K) (maxSourceHeight w)).isLt
  dsimp [sourceLevels]; omega

lemma maxSourceHeight_lt (w : V → V → ℝ) (K : ℕ)
    (hw : ∀ x y, x ≠ y → edgeActivity w x y ≤ (4:ℝ)^K) :
    maxSourceHeight w < (2:ℝ)^(sourceLevels w K+1) := by
  apply dyadic_upper
  convert maxSourceHeight_bound w K hw using 1
  all_goals try with_reducible_and_instances rfl
  rw [pow_mul]; norm_num

abbrev SourceVertex (V : Type*) [LinearOrder V] (K : ℕ) := Vertex V (LogicalEdge V) (4*(2*K+2))

abbrev SourceRealEdge (V : Type*) [LinearOrder V] (K : ℕ) := LogicalEdge V × Fin (4*(2*K+2)+1)

def realLeft (K : ℕ) (e : SourceRealEdge V K) : SourceVertex V K :=
  atVertex source target (4*(2*K+2)) e.1 e.2.castSucc

def realRight (K : ℕ) (e : SourceRealEdge V K) : SourceVertex V K :=
  atVertex source target (4*(2*K+2)) e.1 e.2.succ

noncomputable def sourceRealB (w : V → V → ℝ) (K : ℕ) : SourceVertex V K → SourceVertex V K → ℝ :=
  realBottleneck source target (2*K+2) (fun e => bottleneck w (source e) (target e))
    (fun e => sourceHeight w (source e)) (fun e => sourceHeight w (target e)) (logicalActivity w)

lemma source_profile_strength (w : V → V → ℝ) (K : ℕ)
    (hw : ∀ x y, x ≠ y → edgeActivity w x y ≤ (4:ℝ)^K) (e : SourceRealEdge V K) :
    sourceRealB w K (realLeft K e) (realRight K e) =
      profileActivity (2*K+2) (bottleneck w (source e.1) (target e.1))
        (sourceHeight w (source e.1)) (sourceHeight w (target e.1))
        (bottleneck w (source e.1) (target e.1)) e.2 := by
  apply source_effective_profile
  · omega
  · intro e; exact sourceHeight_nonneg w _
  · intro e; exact sourceHeight_nonneg w _
  · intro f
    rw [show 2*K+2-1=2*K+1 by omega]
    exact profile_innermost K _ _ (one_le_bottleneck _ _ _) (sourceHeight_bound w K hw _)

lemma source_strength_incident_near (w : V → V → ℝ) (K : ℕ)
    (hw : ∀ x y, x ≠ y → edgeActivity w x y ≤ (4:ℝ)^K)
    (x : SourceVertex V K) (e f : SourceRealEdge V K)
    (he : Incident (realLeft K) (realRight K) e x)
    (hf : Incident (realLeft K) (realRight K) f x) :
    sourceRealB w K (realLeft K e) (realRight K e) ≤ 2*sourceRealB w K (realLeft K f) (realRight K f) := by
  simp only [source_profile_strength w K hw]
  apply effective_profile_incident_near source target (2*K+2) (by omega)
    (fun e => bottleneck w (source e) (target e)) (sourceHeight w)
  · intro e; exact zero_le_one.trans (one_le_bottleneck _ _ _)
  · exact sourceHeight_nonneg w
  · intro e
    exact ⟨bottleneck_le_sourceHeight w (source_ne_target e),by
      rw [bottleneck_comm]; exact bottleneck_le_sourceHeight w (source_ne_target e).symm⟩
  · intro e
    rw [show 2*K+2-1=2*K+1 by omega]
    exact profile_innermost K _ _ (one_le_bottleneck _ _ _) (sourceHeight_bound w K hw _)
  · intro e
    rw [show 2*K+2-1=2*K+1 by omega]
    exact profile_innermost K _ _ (one_le_bottleneck _ _ _) (sourceHeight_bound w K hw _)
  · exact he
  · exact hf

lemma profile_upper (p : ℕ) (B HU HV lam T : ℝ) (hB : B ≤ T) (hU : HU ≤ T) (hV : HV ≤ T)
    (hU0 : 0 ≤ HU) (hV0 : 0 ≤ HV) (hlam : lam ≤ T) (i : Fin (4*p+1)) :
    profileActivity p B HU HV lam i ≤ T := by
  rcases lt_trichotomy i.val (2*p) with h | h | h
  · rw [profile_left _ _ _ _ _ _ h]
    exact max_le hB ((div_le_self hU0 (one_le_pow₀ (by norm_num))).trans hU)
  · have hi : i=⟨2*p,by omega⟩ := Fin.ext h
    rw [hi,profile_center]; exact hlam
  · rw [profile_right _ _ _ _ _ _ h]
    exact max_le hB ((div_le_self hV0 (one_le_pow₀ (by norm_num))).trans hV)

lemma source_strength_le_max (w : V → V → ℝ) (K : ℕ)
    (hw : ∀ x y, x ≠ y → edgeActivity w x y ≤ (4:ℝ)^K) (e : SourceRealEdge V K) :
    sourceRealB w K (realLeft K e) (realRight K e) ≤ maxSourceHeight w := by
  rw [source_profile_strength w K hw]
  have hb := (bottleneck_le_sourceHeight w (source_ne_target e.1)).trans (sourceHeight_le_max w _)
  exact profile_upper _ _ _ _ _ _ hb (sourceHeight_le_max w _) (sourceHeight_le_max w _)
    (sourceHeight_nonneg w _) (sourceHeight_nonneg w _) hb _

lemma sourceRealB_comm (w : V → V → ℝ) (K : ℕ) (x y : SourceVertex V K) :
    sourceRealB w K x y = sourceRealB w K y x := bottleneck_comm _ _ _

lemma sourceRealB_tri (w : V → V → ℝ) (K : ℕ) (x y z : SourceVertex V K)
    (hxy : x ≠ y) (hxz : x ≠ z) (hyz : y ≠ z) :
    min (sourceRealB w K x z) (sourceRealB w K z y) ≤ sourceRealB w K x y :=
  bottleneck_ultrametric _ _ _ _ hxy hxz hyz

lemma sourceRealB_floor (w : V → V → ℝ) (K : ℕ) (x y : SourceVertex V K) :
    1 ≤ sourceRealB w K x y := one_le_bottleneck _ _ _

abbrev SourceLabel (w : V → V → ℝ) (K : ℕ) :=
  Label (sourceRealB w K) (sourceRealB_comm w K) (sourceRealB_tri w K) (sourceLevels w K)

noncomputable def sourceBags (w : V → V → ℝ) (K : ℕ) (x : SourceVertex V K) :
    Finset (SourceLabel w K) :=
  memberships (sourceRealB w K) (sourceRealB_comm w K) (sourceRealB_tri w K)
    (realLeft K) (realRight K) (sourceLevels w K) x

end MatchingFPRAS.Enlargement

namespace MatchingFPRAS.Transport

section

open Finset

variable {V E : Type*} [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E]

variable (inc : E → V → Prop)

noncomputable def support (Q : Finset E) : Finset V := by
  classical
  exact Finset.univ.filter fun v => ∃ e ∈ Q, inc e v

omit [Fintype E] [DecidableEq V] [DecidableEq E] in
lemma mem_support (Q : Finset E) (v : V) : v ∈ support inc Q ↔ ∃ e ∈ Q, inc e v := by
  classical
  simp [support]

abbrev Partial := {Q : Finset E // MatchingOn inc Q (support inc Q)}

abbrev Matchings (U : Finset V) := {M : Finset E // MatchingOn inc M U}

noncomputable instance matchingsFintype (U : Finset V) : Fintype (Matchings inc U) := Fintype.ofFinite _

noncomputable def partitionWeight {R : Type*} [CommSemiring R] (w : E → R) (U : Finset V) : R :=
  ∑ M : Matchings inc U, ∏ e ∈ M.val, w e

end

open Finset

variable {V E : Type*} [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E]

variable (inc : E → V → Prop)

omit [Fintype E] [DecidableEq V] [DecidableEq E] in
@[simp] lemma support_empty : support inc ∅=∅ := by
  ext x; simp [support]

end MatchingFPRAS.Transport

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_HoleStrength
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open Finset

variable {V E : Type*} [Fintype V] [LinearOrder V] [Fintype E] [LinearOrder E]

omit [Fintype V] [LinearOrder V] [LinearOrder E] in
@[simp] lemma mem_consumed_destination_right [Fintype V] [LinearOrder V] [LinearOrder E]
    (u v : E → V) (m : ℕ) (d : E → HoleBlocks m)
    (e : E) (j : Fin m) : Sum.inr (e,j) ∉ (consumedPairs u v m d).map Prod.snd := by
  simp [consumedPairs,List.map_flatMap,List.map_append,List.map_map,Function.comp_def]




noncomputable def holeStrength (p : ℕ) (B Hu Hv : E → ℝ) : Vertex V E (4*p) → ℝ
  | Sum.inl _ => 1
  | Sum.inr (e,j) => internalStrength p (B e) (Hu e) (Hv e) j

noncomputable def neutralCharge (p : ℕ) (B Hu Hv lam : E → ℝ) :
    Vertex V E (4*p) × Vertex V E (4*p) → ℝ
  | (Sum.inr (e,j),Sum.inr (_,k)) => neutralFactor p (B e) (Hu e) (Hv e) (lam e) j k
  | _ => 0

noncomputable def consumedCharge (u : E → V) (p : ℕ) (B Hu Hv lam : E → ℝ) :
    Vertex V E (4*p) × Vertex V E (4*p) → ℝ
  | (Sum.inr (e,j),Sum.inl x) => if x=u e then leftFactor p (B e) (Hu e) (Hv e) (lam e) j
      else rightFactor p (B e) (Hu e) (Hv e) (lam e) j
  | _ => 0

noncomputable def totalDeletionCharge (u v : E → V) (p : ℕ) (B Hu Hv lam : E → ℝ)
    (d : E → HoleBlocks (4*p)) : ℝ :=
  ((neutralPairs (V := V) (4*p) d).map (neutralCharge p B Hu Hv lam)).prod *
    ((consumedPairs u v (4*p) d).map (consumedCharge u p B Hu Hv lam)).prod

noncomputable def blockCharge (p : ℕ) (B Hu Hv lam : ℝ) (d : HoleBlocks (4*p)) : ℝ :=
  (d.left.toList.map (leftFactor p B Hu Hv lam)).prod *
    (d.neutral.map (fun q => neutralFactor p B Hu Hv lam q.1 q.2)).prod *
    (d.right.toList.map (rightFactor p B Hu Hv lam)).prod

noncomputable def pathConstant (p : ℕ) (B Hu Hv : ℝ) : ℝ :=
  (∏ r : Fin p, max B (Hu/2^r.val)) * (∏ r : Fin p, max B (Hv/2^r.val))

end MatchingFPRAS.Enlargement

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_Incident
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Representation

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.Enlargement
open Finset

variable {V : Type*} [Fintype V] [LinearOrder V]

abbrev Incident (e : LogicalEdge V) (x : V) := source e=x ∨ target e=x

noncomputable def other (e : LogicalEdge V) (x : V) : V :=
  if source e=x then target e else source e

omit [Fintype V] in
@[simp] lemma other_source (e : LogicalEdge V) : other e (source e)=target e := by simp [other]
@[simp] lemma other_target (e : LogicalEdge V) : other e (target e)=source e := by
  simp [other,source_ne_target e]

lemma other_incident (e : LogicalEdge V) (x : V) (hx : Incident e x) :
    Incident e (other e x) := by
  rcases hx with rfl | rfl <;> simp only [other_source,other_target] <;> tauto

lemma other_ne (e : LogicalEdge V) (x : V) (hx : Incident e x) : other e x ≠ x := by
  rcases hx with rfl | rfl <;> simp [source_ne_target e,(source_ne_target e).symm]

lemma other_other (e : LogicalEdge V) (x : V) (hx : Incident e x) :
    other e (other e x)=x := by rcases hx with rfl | rfl <;> simp

lemma edge_eq_of_inc_other {e f : LogicalEdge V} (h : Incident f (source e))
    (ho : other f (source e)=target e) : f=e := by
  rcases h with h | h
  · have ht : target f=target e := by simpa only [← h,other_source] using ho
    exact Subtype.ext (Prod.ext h ht)
  · have hs : source f=target e := by simpa only [← h,other_target] using ho
    have hf := f.property
    have he := e.property
    change source f < target f at hf
    change source e < target e at he
    rw [hs,h] at hf
    exact False.elim ((lt_asymm he hf))

variable (R : Finset V) (s : LogicalEdge V → Bool)
    (hs : LogicalHoles source target R ∅ s)

include hs in
omit [Fintype V] in
lemma selected_not_hole [Fintype V] (e : LogicalEdge V) (he : s e=true) (x : V) (hx : Incident e x) :
    x ∉ R := by
  intro hxR
  exact hs.2.1 x hxR e ⟨he,hx⟩

noncomputable def chosen (x : V) (hx : x ∉ R) : LogicalEdge V :=
  (hs.2.2 x hx).exists.choose

omit [Fintype V] in
lemma chosen_spec [Fintype V] (x : V) (hx : x ∉ R) :
    s (chosen R s hs x hx)=true ∧ Incident (chosen R s hs x hx) x :=
  (hs.2.2 x hx).exists.choose_spec

lemma chosen_eq (x : V) (hx : x ∉ R) (e : LogicalEdge V)
    (he : s e=true) (hi : Incident e x) : chosen R s hs x hx=e := by
  exact (hs.2.2 x hx).unique (chosen_spec R s hs x hx) ⟨he,hi⟩

noncomputable def mateFun (x : V) : V :=
  if h : x ∈ R then x else other (chosen R s hs x h) x

omit [Fintype V] in
lemma mateFun_hole [Fintype V] (x : V) (hx : x ∈ R) : mateFun R s hs x=x := by simp [mateFun,hx]

lemma mateFun_selected (e : LogicalEdge V) (he : s e=true) (x : V) (hx : Incident e x) :
    mateFun R s hs x=other e x := by
  have hn := selected_not_hole R s hs e he x hx
  simp only [mateFun,dite_eq_right hn]
  rw [chosen_eq R s hs x hn e he hx]

lemma mateFun_involutive : Function.Involutive (mateFun R s hs) := by
  intro x
  by_cases hx : x ∈ R
  · rw [mateFun_hole R s hs x hx,mateFun_hole R s hs x hx]
  · let e := chosen R s hs x hx
    have he := chosen_spec R s hs x hx
    have hx' : mateFun R s hs x=other e x := mateFun_selected R s hs e he.1 x he.2
    rw [hx',mateFun_selected R s hs e he.1 _ (other_incident e x he.2),other_other e x he.2]

noncomputable def asMate : Mate V := ⟨mateFun R s hs,mateFun_involutive R s hs⟩

lemma asMate_selected (e : LogicalEdge V) :
    (asMate R s hs).val (source e)=target e ↔ s e=true := by
  constructor
  · intro hm
    have hx : source e ∉ R := by
      intro hx
      have hh := mateFun_hole R s hs _ hx
      change mateFun R s hs (source e)=target e at hm
      exact source_ne_target e (hh.symm.trans hm)
    let f := chosen R s hs (source e) hx
    have hf := chosen_spec R s hs (source e) hx
    have ho : other f (source e)=target e := by
      rw [← mateFun_selected R s hs f hf.1 _ hf.2]
      exact hm
    have hfe : f=e := edge_eq_of_inc_other hf.2 ho
    exact hfe ▸ hf.1
  · intro he
    exact (mateFun_selected R s hs e he (source e) (Or.inl rfl)).trans (other_source e)

variable {R s hs}

noncomputable def select (m : Mate V) (e : LogicalEdge V) : Bool :=
  decide (m.val (source e)=target e)

omit [Fintype V] in
@[simp] lemma select_eq_true [Fintype V] (m : Mate V) (e : LogicalEdge V) :
    select m e=true ↔ m.val (source e)=target e := by simp [select]

lemma select_mate_other (m : Mate V) (e : LogicalEdge V)
    (he : select m e=true) (x : V) (hx : Incident e x) : m.val x=other e x := by
  have ht := (select_eq_true m e).mp he
  rcases hx with rfl | rfl
  · simpa only [other_source] using ht
  · simp only [other_target]
    rw [← ht,mate_mate]

lemma edge_eq_of_selected_inc (m : Mate V) {e f : LogicalEdge V}
    (he : select m e=true) (hf : select m f=true)
    (x : V) (hex : Incident e x) (hfx : Incident f x) : e=f := by
  have hh : other e x=other f x := (select_mate_other m e he x hex).symm.trans
    (select_mate_other m f hf x hfx)
  rcases hex with rfl | rfl
  · exact (edge_eq_of_inc_other hfx (hh.symm.trans (other_source e))).symm
  · have hy : Incident f (source e) := by
      rw [other_target] at hh
      rw [hh]
      exact other_incident f _ hfx
    apply (edge_eq_of_inc_other hy ?_).symm
    rw [other_target] at hh
    rw [hh,other_other f _ hfx]

lemma select_holes (m : Mate V) (hm : HasHoles m R) :
    LogicalHoles source target R ∅ (select m) := by
  classical
  refine ⟨by simp,?_,?_⟩
  · intro x hx e he
    have hh := select_mate_other m e he.1 x he.2
    rw [(hm x).mpr hx] at hh
    exact other_ne e x he.2 hh.symm
  · intro x hx
    have hmx : m.val x ≠ x := fun h => hx ((hm x).mp h)
    have hex : ∃ e : LogicalEdge V, select m e=true ∧ Incident e x := by
      rcases lt_or_gt_of_ne hmx.symm with h | h
      · exact ⟨⟨(x,m.val x),h⟩,by simp [select,source,target],Or.inl rfl⟩
      · exact ⟨⟨(m.val x,x),h⟩,by simp [select,source,target],Or.inr rfl⟩
    obtain ⟨e,he⟩ := hex
    refine ⟨e,he,?_⟩
    intro f hf
    exact edge_eq_of_selected_inc m hf.1 he.1 x hf.2 he.2

@[simp] lemma select_asMate : select (asMate R s hs)=s := by
  funext e
  apply Bool.eq_iff_iff.mpr
  exact (select_eq_true _ e).trans (asMate_selected R s hs e)

end MatchingFPRAS.Representation

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open MatchingFPRAS.Representation
open Finset

variable {V : Type*} [Fintype V] [LinearOrder V]

lemma intact_family (p : ℕ) (m : Mate V) (hm : HasHoles m ∅) :
    FamilyHoles source target (4*p) ∅ (fun _ => ∅)
      (fun e i => alternating (select m e) i.val) := by
  have hs := select_holes m hm
  refine ⟨fun e => alternating_valid _ _,by simp,?_⟩
  intro x hx
  have hi (e : LogicalEdge V) :
      Uses source target (fun (e : LogicalEdge V) (i : Fin (4*p+1)) => alternating (select m e) i.val) e x ↔
        select m e=true ∧ Incident e x := by
    rw [intact_uses (show Even (4*p) from ⟨2*p,by omega⟩) source target _ e x
      (alternating_valid _ _)]
    simp only [Fin.val_zero,alternating,Nat.zero_mod,ite_true]
  simpa only [hi] using hs.2.2 x hx

end MatchingFPRAS.Enlargement

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_EdgeLow
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.RealGeometry

open Finset MatchingFPRAS.Subdivision MatchingFPRAS.Transport

variable {V E : Type*} [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E]

variable (u v : E → V) (m : ℕ)

noncomputable def survivors (R : Finset V) (U : E → Finset (Fin m)) : Finset (Vertex V E m) := by
  classical
  exact univ.filter fun x => match x with
    | Sum.inl x => x∉R
    | Sum.inr (e,i) => i∉U e

omit [DecidableEq V] [DecidableEq E] in
@[simp] lemma mem_survivors_terminal (R : Finset V) (U : E → Finset (Fin m)) (x : V) :
    Sum.inl x ∈ survivors m R U ↔ x∉R := by simp [survivors]

omit [DecidableEq V] [DecidableEq E] in
@[simp] lemma mem_survivors_internal (R : Finset V) (U : E → Finset (Fin m)) (e : E) (i : Fin m) :
    Sum.inr (e,i) ∈ survivors m R U ↔ i∉U e := by simp [survivors]

end MatchingFPRAS.RealGeometry

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_ArcData
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Cells

open SimpleGraph

variable {L : Type*} {G : SimpleGraph L}

lemma exists_walk_on_trace (a : ℕ → L) (n : ℕ)
    (ha : ∀ i < n, a i = a (i + 1) ∨ G.Adj (a i) (a (i + 1))) :
    ∃ w : G.Walk (a 0) (a n), ∀ v ∈ w.support, ∃ i ≤ n, a i = v := by
  induction n with
  | zero =>
    refine ⟨.nil, ?_⟩
    intro v hv
    have hv' : v = a 0 := by simpa using hv
    exact ⟨0, le_rfl, hv'.symm⟩
  | succ n ih =>
    obtain ⟨w, hw⟩ := ih (fun i hi => ha i (by omega))
    rcases ha n (by omega) with heq | hadj
    · refine ⟨w.copy rfl heq, ?_⟩
      intro v hv
      obtain ⟨i, hi, hiv⟩ := hw v (by simpa using hv)
      exact ⟨i, by omega, hiv⟩
    · refine ⟨w.concat hadj, ?_⟩
      intro v hv
      have hv' : v ∈ w.support ∨ v = a (n + 1) := by simpa using hv
      rcases hv' with hv' | hv'
      · obtain ⟨i, hi, hiv⟩ := hw v hv'
        exact ⟨i, by omega, hiv⟩
      · exact ⟨n + 1, le_rfl, hv'.symm⟩

lemma neighbor_return (hG : G.IsAcyclic) (a : ℕ → L) (n : ℕ) (P : L)
    (ha : ∀ i < n, a i = a (i + 1) ∨ G.Adj (a i) (a (i + 1)))
    (havoid : ∀ i ≤ n, a i ≠ P) (hfirst : G.Adj P (a 0))
    (hlast : G.Adj P (a n)) : a 0 = a n := by
  classical
  obtain ⟨w, hw⟩ := exists_walk_on_trace a n ha
  have hnot : P ∉ w.toPath.val.support := by
    intro hP
    obtain ⟨i, hi, hiP⟩ := hw P (w.support_toPath_subset_support hP)
    exact havoid i hi hiP
  have hp : (Walk.cons hfirst w.toPath.val).IsPath := w.toPath.isPath.cons hnot
  have hv := hG.eq_snd_of_adj_start hp hlast (Walk.cons hfirst w.toPath.val).end_mem_support
  simpa using hv.symm

structure ArcData (G : SimpleGraph L) (s : ℕ) where
  labels : ℕ → L
  sets : ℕ → Finset L
  left_mem : ∀ i < s, labels i ∈ sets i
  right_mem : ∀ i < s, labels i ∈ sets (i + 1)
  clique : ∀ i ≤ s, ∀ u ∈ sets i, ∀ v ∈ sets i, u = v ∨ G.Adj u v

namespace ArcData

variable {s : ℕ} (A : ArcData G s)

def Admissible (x y : ℕ) : Prop := ∃ l, l ∈ A.sets x ∧ l ∈ A.sets y

def Good (x y : ℕ) : Prop := y = x + 1 ∨ A.Admissible (x + 1) (y - 1)

structure Split (exteriorGood : Prop) where
  p₁ : ℕ
  p₂ : ℕ
  positive : 0 < p₁
  ordered : p₁ < p₂
  inside : p₂ < s
  odd₁ : p₁ % 2 = 1
  even₂ : p₂ % 2 = 0
  first : A.Admissible 0 p₁
  middle : A.Admissible p₁ p₂
  third : A.Admissible p₂ s
  some_good : (A.Good 0 p₁ ∧ A.Good p₂ s) ∨ (A.Good p₁ p₂ ∧ exteriorGood)
  outer_long : 1 < p₁ → 1 < s - p₂ → A.Good p₁ p₂ ∧ exteriorGood
  middle_long : 1 < p₂ - p₁ → A.Good 0 p₁ ∧ A.Good p₂ s

lemma trace (i : ℕ) (hi : i + 1 < s) :
    A.labels i = A.labels (i + 1) ∨ G.Adj (A.labels i) (A.labels (i + 1)) :=
  A.clique (i + 1) (by omega) _ (A.right_mem i (by omega)) _ (A.left_mem (i + 1) hi)

lemma edge_admissible (i : ℕ) (hi : i < s) : A.Admissible i (i + 1) :=
  ⟨A.labels i, A.left_mem i hi, A.right_mem i hi⟩

lemma last_mem (hs : 0 < s) : A.labels (s - 1) ∈ A.sets s := by
  convert A.right_mem (s - 1) (by omega) using 1
  all_goals try with_reducible_and_instances rfl
  congr 1
  omega

lemma good_of_same_boundary (x y : ℕ) (hxy : x < y) (hy : y ≤ s)
    (heq : A.labels x = A.labels (y - 1)) : A.Good x y := by
  right
  refine ⟨A.labels x, A.right_mem x (by omega), ?_⟩
  rw [heq]
  exact A.left_mem (y - 1) (by omega)

lemma neighbor_return_between (hG : G.IsAcyclic) (P : L)
    (lo hi : ℕ) (hlo : lo ≤ hi) (hhi : hi < s)
    (havoid : ∀ i, lo ≤ i → i ≤ hi → A.labels i ≠ P)
    (hfirst : G.Adj P (A.labels lo)) (hlast : G.Adj P (A.labels hi)) :
    A.labels lo = A.labels hi := by
  have hf : G.Adj P ((fun i => A.labels (lo + i)) 0) := by simpa using hfirst
  have hl : G.Adj P ((fun i => A.labels (lo + i)) (hi - lo)) := by
    simpa only [Nat.add_sub_of_le hlo] using hlast
  have h := neighbor_return hG (fun i => A.labels (lo + i)) (hi - lo) P
    (fun i hi' => by
      have := A.trace (lo + i) (by omega)
      simpa only [Nat.add_assoc] using this)
    (fun i hi' => havoid (lo + i) (by omega) (by omega)) hf hl
  simpa only [Nat.add_zero, Nat.add_sub_of_le hlo] using h

lemma split_short_middle {exteriorGood : Prop} (hext : exteriorGood)
    (p : ℕ) (hp : 0 < p) (hps : p + 1 < s) (hodd : p % 2 = 1)
    (hfirst : A.Admissible 0 p) (hthird : A.Admissible (p + 1) s) :
    Nonempty (A.Split exteriorGood) := by
  refine ⟨⟨p, p + 1, hp, by omega, hps, hodd, by omega,
    hfirst, A.edge_admissible p (by omega), hthird, ?_, ?_, ?_⟩⟩
  · exact Or.inr ⟨Or.inl rfl, hext⟩
  · exact fun _ _ => ⟨Or.inl rfl, hext⟩
  · intro h
    omega

lemma split_short_outer (exteriorGood : Prop) (hs : 3 ≤ s) (hsodd : s % 2 = 1)
    (heq : A.labels 0 = A.labels (s - 1)) : Nonempty (A.Split exteriorGood) := by
  have hg₁ : A.Good 0 1 := Or.inl rfl
  have hg₃ : A.Good (s - 1) s := Or.inl (by omega)
  have ha₃ : A.Admissible (s - 1) s :=
    ⟨A.labels (s - 1), A.left_mem (s - 1) (by omega), A.last_mem (by omega)⟩
  have ha₂ : A.Admissible 1 (s - 1) := by
    refine ⟨A.labels 0, A.right_mem 0 (by omega), ?_⟩
    rw [heq]
    exact A.left_mem (s - 1) (by omega)
  refine ⟨⟨1, s - 1, by omega, by omega, by omega, by omega, by omega,
    A.edge_admissible 0 (by omega), ha₂, ha₃, Or.inl ⟨hg₁, hg₃⟩,
    ?_, fun _ => ⟨hg₁, hg₃⟩⟩⟩
  intro h
  omega

lemma split_good_exterior (hG : G.IsAcyclic) {exteriorGood : Prop} (hext : exteriorGood)
    (hs : 3 ≤ s) (hsodd : s % 2 = 1) (P : L)
    (hP₀ : P ∈ A.sets 0) (hPₛ : P ∈ A.sets s) : Nonempty (A.Split exteriorGood) := by
  classical
  by_cases hboundary : A.labels 0 = A.labels (s - 1)
  · exact A.split_short_outer exteriorGood hs hsodd hboundary
  by_cases hodd : ∃ i, i < s ∧ i % 2 = 1 ∧ A.labels i = P
  · obtain ⟨i, his, hi, hiP⟩ := hodd
    refine A.split_short_middle hext i (by omega) (by omega) hi ?_ ?_
    · exact ⟨P, hP₀, by simpa only [hiP] using A.left_mem i his⟩
    · exact ⟨P, by simpa only [hiP] using A.right_mem i his, hPₛ⟩
  have heven : ∀ i < s, A.labels i = P → i % 2 = 0 := by
    intro i his hiP
    have hm := Nat.mod_lt i (by omega : 0 < 2)
    by_contra hn
    exact hodd ⟨i, his, by omega, hiP⟩
  have hex : ∃ i, i < s ∧ A.labels i = P := by
    by_contra hnone
    push Not at hnone
    have hav : ∀ i, 0 ≤ i → i ≤ s - 1 → A.labels i ≠ P :=
      fun i _ hi => hnone i (by omega)
    have hadj₀ : G.Adj P (A.labels 0) :=
      (A.clique 0 (by omega) P hP₀ _ (A.left_mem 0 (by omega))).resolve_left
        (fun h => hnone 0 (by omega) h.symm)
    have hadjₛ : G.Adj P (A.labels (s - 1)) :=
      (A.clique s le_rfl P hPₛ _ (A.last_mem (by omega))).resolve_left
        (fun h => hnone (s - 1) (by omega) h.symm)
    exact hboundary (A.neighbor_return_between hG P 0 (s - 1) (by omega) (by omega)
      hav hadj₀ hadjₛ)
  by_cases hzero : A.labels 0 = P
  · let j := Nat.findGreatest (fun i => A.labels i = P) (s - 1)
    have hjle : j ≤ s - 1 := Nat.findGreatest_le _
    have hjP : A.labels j = P := Nat.findGreatest_spec (P := fun i => A.labels i = P) (by omega : 0 ≤ s - 1) hzero
    have hlast : A.labels (s - 1) ≠ P := fun h => hboundary (hzero.trans h.symm)
    have hjlt : j < s - 1 := by
      by_contra h
      have : j = s - 1 := by omega
      exact hlast (this ▸ hjP)
    have hjEven : j % 2 = 0 := heven j (by omega) hjP
    have hav : ∀ i, j + 1 ≤ i → i ≤ s - 1 → A.labels i ≠ P := by
      intro i hi his
      exact Nat.findGreatest_is_greatest (P := fun k => A.labels k = P) (by omega : j < i) his
    have hPa : P ∈ A.sets (j + 1) := by
      simpa only [hjP] using A.right_mem j (by omega)
    have hadjFirst : G.Adj P (A.labels (j + 1)) :=
      (A.clique (j + 1) (by omega) P hPa _ (A.left_mem (j + 1) (by omega))).resolve_left
        (fun h => hav (j + 1) le_rfl (by omega) h.symm)
    have hadjLast : G.Adj P (A.labels (s - 1)) :=
      (A.clique s le_rfl P hPₛ _ (A.last_mem (by omega))).resolve_left
        (fun h => hlast h.symm)
    have hQ := A.neighbor_return_between hG P (j + 1) (s - 1)
      (by omega) (by omega) hav hadjFirst hadjLast
    refine A.split_short_middle hext (j + 1) (by omega) (by omega) (by omega)
      ⟨P, hP₀, hPa⟩ ?_
    refine ⟨A.labels (j + 1), A.right_mem (j + 1) (by omega), ?_⟩
    rw [hQ]
    exact A.last_mem (by omega)
  · let i := Nat.find hex
    have hi : i < s := (Nat.find_spec hex).1
    have hiP : A.labels i = P := (Nat.find_spec hex).2
    have hiPos : 0 < i := by
      by_contra h
      have hi0 : i = 0 := by omega
      exact hzero (hi0 ▸ hiP)
    have hiEven : i % 2 = 0 := heven i hi hiP
    have hia : i - 1 + 1 = i := by omega
    have hav : ∀ k, 0 ≤ k → k ≤ i - 1 → A.labels k ≠ P := by
      intro k _ hk hkP
      have hkmin := Nat.find_min' hex (show k < s ∧ A.labels k = P from ⟨by omega, hkP⟩)
      change i ≤ k at hkmin
      omega
    have hPi : P ∈ A.sets i := by simpa only [hiP] using A.left_mem i hi
    have hprev : A.labels (i - 1) ∈ A.sets i := by
      simpa only [hia] using A.right_mem (i - 1) (by omega)
    have hadjFirst : G.Adj P (A.labels 0) :=
      (A.clique 0 (by omega) P hP₀ _ (A.left_mem 0 (by omega))).resolve_left
        (fun h => hzero h.symm)
    have hadjLast : G.Adj P (A.labels (i - 1)) :=
      (A.clique i (by omega) P hPi _ hprev).resolve_left
        (fun h => hav (i - 1) (by omega) le_rfl h.symm)
    have hQ := A.neighbor_return_between hG P 0 (i - 1) (by omega) (by omega)
      hav hadjFirst hadjLast
    refine A.split_short_middle hext (i - 1) (by omega) (by omega) (by omega) ?_ ?_
    · refine ⟨A.labels 0, A.left_mem 0 (by omega), ?_⟩
      rw [hQ]
      exact A.left_mem (i - 1) (by omega)
    · rw [hia]
      exact ⟨P, hPi, hPₛ⟩

lemma split_left_boundary (hG : G.IsAcyclic) (exteriorGood : Prop)
    (hs : 3 ≤ s) (hsodd : s % 2 = 1) (P : L)
    (hP₀ : P ∈ A.sets 0) (hPₛ : P ∈ A.sets s) (hzero : A.labels 0 = P) :
    Nonempty (A.Split exteriorGood) := by
  classical
  by_cases hlast : A.labels (s - 1) = P
  · exact A.split_short_outer exteriorGood hs hsodd (hzero.trans hlast.symm)
  let j := Nat.findGreatest (fun i => A.labels i = P) (s - 1)
  have hjle : j ≤ s - 1 := Nat.findGreatest_le _
  have hjP : A.labels j = P :=
    Nat.findGreatest_spec (P := fun i => A.labels i = P) (by omega : 0 ≤ s - 1) hzero
  have hjlt : j < s - 1 := by
    by_contra h
    have : j = s - 1 := by omega
    exact hlast (this ▸ hjP)
  have hav : ∀ i, j + 1 ≤ i → i ≤ s - 1 → A.labels i ≠ P := by
    intro i hi his
    exact Nat.findGreatest_is_greatest (P := fun k => A.labels k = P) (by omega : j < i) his
  have hPt : P ∈ A.sets (j + 1) := by
    simpa only [hjP] using A.right_mem j (by omega)
  have hadjFirst : G.Adj P (A.labels (j + 1)) :=
    (A.clique (j + 1) (by omega) P hPt _ (A.left_mem (j + 1) (by omega))).resolve_left
      (fun h => hav (j + 1) le_rfl (by omega) h.symm)
  have hadjLast : G.Adj P (A.labels (s - 1)) :=
    (A.clique s le_rfl P hPₛ _ (A.last_mem (by omega))).resolve_left
      (fun h => hlast h.symm)
  have hQ := A.neighbor_return_between hG P (j + 1) (s - 1)
    (by omega) (by omega) hav hadjFirst hadjLast
  by_cases htEven : (j + 1) % 2 = 0
  · have hg₁ : A.Good 0 1 := Or.inl rfl
    have hg₃ : A.Good (j + 1) s := A.good_of_same_boundary _ _ (by omega) le_rfl hQ
    have ha₂ : A.Admissible 1 (j + 1) :=
      ⟨P, by simpa only [hzero] using A.right_mem 0 (by omega), hPt⟩
    have ha₃ : A.Admissible (j + 1) s := by
      refine ⟨A.labels (j + 1), A.left_mem (j + 1) (by omega), ?_⟩
      rw [hQ]
      exact A.last_mem (by omega)
    refine ⟨⟨1, j + 1, by omega, by omega, by omega, by omega, htEven,
      A.edge_admissible 0 (by omega), ha₂, ha₃, Or.inl ⟨hg₁, hg₃⟩,
      ?_, fun _ => ⟨hg₁, hg₃⟩⟩⟩
    intro h
    omega
  · have htOdd : (j + 1) % 2 = 1 := by omega
    have hg₁ : A.Good 0 (j + 1) := by
      apply A.good_of_same_boundary _ _ (by omega) (by omega)
      simpa only [Nat.add_sub_cancel, hzero] using hjP.symm
    have hg₃ : A.Good (s - 1) s := Or.inl (by omega)
    have ha₁ : A.Admissible 0 (j + 1) := ⟨P, hP₀, hPt⟩
    have ha₂ : A.Admissible (j + 1) (s - 1) := by
      refine ⟨A.labels (j + 1), A.left_mem (j + 1) (by omega), ?_⟩
      rw [hQ]
      exact A.left_mem (s - 1) (by omega)
    have ha₃ : A.Admissible (s - 1) s :=
      ⟨A.labels (s - 1), A.left_mem (s - 1) (by omega), A.last_mem (by omega)⟩
    refine ⟨⟨j + 1, s - 1, by omega, by omega, by omega, htOdd, by omega,
      ha₁, ha₂, ha₃, Or.inl ⟨hg₁, hg₃⟩, ?_, fun _ => ⟨hg₁, hg₃⟩⟩⟩
    intro _ h
    omega

def reverse : ArcData G s where
  labels i := A.labels (s - 1 - i)
  sets i := A.sets (s - i)
  left_mem i hi := by
    have hj : s - 1 - i < s := by omega
    have heq : s - 1 - i + 1 = s - i := by omega
    simpa only [heq] using A.right_mem (s - 1 - i) hj
  right_mem i hi := by
    have hj : s - 1 - i < s := by omega
    have heq : s - 1 - i = s - (i + 1) := by omega
    simpa only [← heq] using A.left_mem (s - 1 - i) hj
  clique i hi := A.clique (s - i) (by omega)

lemma admissible_symm {x y : ℕ} (h : A.Admissible x y) : A.Admissible y x := by
  obtain ⟨l, hl₁, hl₂⟩ := h
  exact ⟨l, hl₂, hl₁⟩

lemma good_reverse {x y : ℕ} (hxy : x < y) (hy : y ≤ s)
    (h : A.reverse.Good x y) : A.Good (s - y) (s - x) := by
  rcases h with hshort | ⟨l, hl₁, hl₂⟩
  · left
    omega
  · right
    change l ∈ A.sets (s - (x + 1)) at hl₁
    change l ∈ A.sets (s - (y - 1)) at hl₂
    have h₁ : s - (x + 1) = s - x - 1 := by omega
    have h₂ : s - (y - 1) = s - y + 1 := by omega
    exact ⟨l, by simpa only [h₂] using hl₂, by simpa only [h₁] using hl₁⟩

def Split.unreverse {exteriorGood : Prop} (hsodd : s % 2 = 1)
    (T : A.reverse.Split exteriorGood) : A.Split exteriorGood := by
  have h₁ := T.positive
  have h₂ := T.ordered
  have h₃ := T.inside
  have ho := T.odd₁
  have he := T.even₂
  have ha₁ : A.Admissible 0 (s - T.p₂) := by
    have h := A.admissible_symm T.third
    simpa only [reverse, Nat.sub_self] using h
  have ha₂ : A.Admissible (s - T.p₂) (s - T.p₁) := A.admissible_symm T.middle
  have ha₃ : A.Admissible (s - T.p₁) s := by
    have h := A.admissible_symm T.first
    simpa only [reverse, Nat.sub_zero] using h
  have g₁ : A.reverse.Good T.p₂ s → A.Good 0 (s - T.p₂) := by
    intro h
    simpa only [Nat.sub_self] using A.good_reverse h₃ le_rfl h
  have g₂ : A.reverse.Good T.p₁ T.p₂ → A.Good (s - T.p₂) (s - T.p₁) :=
    A.good_reverse h₂ (by omega)
  have g₃ : A.reverse.Good 0 T.p₁ → A.Good (s - T.p₁) s := by
    intro h
    simpa only [Nat.sub_zero] using A.good_reverse h₁ (by omega) h
  refine ⟨s - T.p₂, s - T.p₁, by omega, by omega, by omega, by omega, by omega,
    ha₁, ha₂, ha₃, ?_, ?_, ?_⟩
  · rcases T.some_good with ⟨hf, ht⟩ | ⟨hm, hg⟩
    · exact Or.inl ⟨g₁ ht, g₃ hf⟩
    · exact Or.inr ⟨g₂ hm, hg⟩
  · intro hf ht
    obtain ⟨hm, hg⟩ := T.outer_long (by omega) (by omega)
    exact ⟨g₂ hm, hg⟩
  · intro hm
    obtain ⟨hf, ht⟩ := T.middle_long (by omega)
    exact ⟨g₁ ht, g₃ hf⟩

theorem split (hG : G.IsAcyclic) (exteriorGood : Prop)
    (hs : 3 ≤ s) (hsodd : s % 2 = 1) (P : L)
    (hP₀ : P ∈ A.sets 0) (hPₛ : P ∈ A.sets s)
    (hbad : ¬exteriorGood → A.labels 0 = P ∨ A.labels (s - 1) = P) :
    Nonempty (A.Split exteriorGood) := by
  classical
  by_cases hext : exteriorGood
  · exact A.split_good_exterior hG hext hs hsodd P hP₀ hPₛ
  rcases hbad hext with hleft | hright
  · exact A.split_left_boundary hG exteriorGood hs hsodd P hP₀ hPₛ hleft
  · have hP₀' : P ∈ A.reverse.sets 0 := by simpa only [reverse, Nat.sub_zero] using hPₛ
    have hPₛ' : P ∈ A.reverse.sets s := by simpa only [reverse, Nat.sub_self] using hP₀
    have hzero : A.reverse.labels 0 = P := by simpa only [reverse, Nat.sub_zero] using hright
    obtain ⟨T⟩ := A.reverse.split_left_boundary hG exteriorGood hs hsodd P hP₀' hPₛ' hzero
    exact ⟨T.unreverse A hsodd⟩

end ArcData

structure CycleData (G : SimpleGraph L) (m : ℕ) where
  labels : ℤ → L
  periodic : ∀ i, labels (i + m) = labels i
  adjacent : ∀ i, labels (i - 1) = labels i ∨ G.Adj (labels (i - 1)) (labels i)

end MatchingFPRAS.Cells

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_Sets
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Cells
open SimpleGraph

variable {L : Type*} {G : SimpleGraph L}
namespace CycleData

variable [DecidableEq L] {m : ℕ} (C : CycleData G m)

def sets (i : ℤ) : Finset L := {C.labels (i - 1), C.labels i}

def Admissible (x y : ℕ) : Prop := ∃ l, l ∈ C.sets x ∧ l ∈ C.sets y

def Good (x y : ℕ) : Prop := y = x + 1 ∨ C.Admissible (x + 1) (y - 1)

def ExteriorGood (x y : ℕ) : Prop :=
  y + 1 = x + m ∨ ∃ l, l ∈ C.sets ((y : ℤ) + 1) ∧ l ∈ C.sets ((x : ℤ) - 1)

lemma sets_clique (i : ℤ) : ∀ u ∈ C.sets i, ∀ v ∈ C.sets i, u = v ∨ G.Adj u v := by
  intro u hu v hv
  simp only [sets, Finset.mem_insert, Finset.mem_singleton] at hu hv
  rcases hu with rfl | rfl <;> rcases hv with rfl | rfl
  · exact Or.inl rfl
  · exact C.adjacent i
  · exact (C.adjacent i).imp Eq.symm (fun h => h.symm)
  · exact Or.inl rfl

def arc (x s : ℕ) : ArcData G s where
  labels i := C.labels ((x : ℤ) + i)
  sets i := C.sets ((x : ℤ) + i)
  left_mem i _ := by simp [sets]
  right_mem i _ := by
    simp only [sets, Finset.mem_insert, Finset.mem_singleton]
    left
    congr 1
    push_cast
    omega
  clique i _ := C.sets_clique ((x : ℤ) + i)

lemma arc_admissible (x s u v : ℕ) :
    (C.arc x s).Admissible u v ↔ C.Admissible (x + u) (x + v) := by
  simp only [ArcData.Admissible, Admissible, arc, Nat.cast_add]

lemma arc_good (x s u v : ℕ) (huv : u < v) :
    (C.arc x s).Good u v ↔ C.Good (x + u) (x + v) := by
  have hv : 1 ≤ v := by omega
  have h₁ : x + u + 1 = x + (u + 1) := by omega
  have h₂ : x + v - 1 = x + (v - 1) := by omega
  simp only [ArcData.Good, Good, h₁, h₂, ← C.arc_admissible x s]
  constructor
  · rintro (h | h)
    · exact Or.inl (by omega)
    · exact Or.inr h
  · rintro (h | h)
    · exact Or.inl (by omega)
    · exact Or.inr h

lemma bad_exterior_boundary (x s : ℕ) (hs : 0 < s) (P : L)
    (hP₀ : P ∈ (C.arc x s).sets 0) (hPₛ : P ∈ (C.arc x s).sets s)
    (hbad : ¬ C.ExteriorGood x (x + s)) :
    (C.arc x s).labels 0 = P ∨ (C.arc x s).labels (s - 1) = P := by
  by_contra h
  push Not at h
  rcases h with ⟨hleft, hright⟩
  have hcast : (↑(s - 1) : ℤ) = (s : ℤ) - 1 := by omega
  simp only [arc, Nat.cast_zero, add_zero] at hleft hP₀
  simp only [arc, hcast] at hright
  have h₀ : P = C.labels ((x : ℤ) - 1) := by
    simpa only [sets, Finset.mem_insert, Finset.mem_singleton, or_iff_left hleft.symm] using hP₀
  have hₛ : P = C.labels ((x : ℤ) + s) := by
    have hne : P ≠ C.labels ((x : ℤ) + s - 1) := by
      intro hh
      apply hright
      convert hh.symm using 1
      all_goals try with_reducible_and_instances rfl
      congr 1
      omega
    simpa only [arc, sets, Finset.mem_insert, Finset.mem_singleton, or_iff_right hne] using hPₛ
  apply hbad
  right
  refine ⟨P, ?_, ?_⟩
  · simp only [sets, Finset.mem_insert, Finset.mem_singleton]
    left
    convert hₛ using 1
    all_goals try with_reducible_and_instances rfl
    congr 1
    push_cast
    omega
  · simp only [sets, Finset.mem_insert, Finset.mem_singleton]
    exact Or.inr h₀

structure Cell (x p q y : ℕ) : Prop where
  first_pos : x < p
  middle_pos : p < q
  third_pos : q < y
  odd_first : (p - x) % 2 = 1
  odd_middle : (q - p) % 2 = 1
  odd_third : (y - q) % 2 = 1
  odd_exterior : (m - (y - x)) % 2 = 1
  first : C.Admissible x p
  middle : C.Admissible p q
  third : C.Admissible q y
  exterior : C.Admissible y x
  some_good : (C.Good x p ∧ C.Good q y) ∨ (C.Good p q ∧ C.ExteriorGood x y)
  outer_long : 1 < p - x → 1 < y - q → C.Good p q ∧ C.ExteriorGood x y
  middle_exterior_long : 1 < q - p → 1 < m - (y - x) → C.Good x p ∧ C.Good q y

inductive Subdivision (C : CycleData G m) : ℕ → ℕ → Type _ where
  | edge {x y} (short : y = x + 1) : Subdivision C x y
  | node {x p q y} (cell : C.Cell x p q y)
      (first : Subdivision C x p) (middle : Subdivision C p q)
      (third : Subdivision C q y) : Subdivision C x y

lemma cell_of_split (x s : ℕ) (hm : m % 2 = 0) (hs : s % 2 = 1)
    (hbound : x + s < m) (hadm : C.Admissible x (x + s))
    (T : (C.arc x s).Split (C.ExteriorGood x (x + s))) :
    C.Cell x (x + T.p₁) (x + T.p₂) (x + s) := by
  have h₁ := T.positive
  have h₂ := T.ordered
  have h₃ := T.inside
  have ho := T.odd₁
  have he := T.even₂
  have ha₁ : C.Admissible x (x + T.p₁) := by
    simpa only [Nat.add_zero] using (C.arc_admissible x s 0 T.p₁).mp T.first
  have ha₂ := (C.arc_admissible x s T.p₁ T.p₂).mp T.middle
  have ha₃ := (C.arc_admissible x s T.p₂ s).mp T.third
  have hae : C.Admissible (x + s) x := by
    obtain ⟨l, hl₁, hl₂⟩ := hadm
    exact ⟨l, hl₂, hl₁⟩
  have g₁ : (C.arc x s).Good 0 T.p₁ → C.Good x (x + T.p₁) := by
    intro h
    simpa only [Nat.add_zero] using (C.arc_good x s 0 T.p₁ h₁).mp h
  have g₂ := (C.arc_good x s T.p₁ T.p₂ h₂).mp
  have g₃ := (C.arc_good x s T.p₂ s h₃).mp
  refine ⟨by omega, by omega, by omega, by omega, by omega, by omega, by omega,
      ha₁, ha₂, ha₃, hae, ?_, ?_, ?_⟩
  · rcases T.some_good with ⟨hf, ht⟩ | ⟨hm, hg⟩
    · exact Or.inl ⟨g₁ hf, g₃ ht⟩
    · exact Or.inr ⟨g₂ hm, hg⟩
  · intro hf ht
    obtain ⟨hm, hg⟩ := T.outer_long (by omega) (by omega)
    exact ⟨g₂ hm, hg⟩
  · intro hmiddle _
    obtain ⟨hf, ht⟩ := T.middle_long (by omega)
    exact ⟨g₁ hf, g₃ ht⟩

theorem quadrangulate_arc (hG : G.IsAcyclic) (heven : m % 2 = 0)
    (s : ℕ) : ∀ x, 0 < s → s % 2 = 1 → x + s < m →
      C.Admissible x (x + s) → Nonempty (Subdivision C x (x + s)) := by
  induction s using Nat.strong_induction_on with
  | h s ih =>
    intro x hs hsodd hbound hadm
    by_cases hshort : s = 1
    · exact ⟨.edge (by omega)⟩
    have hslarge : 3 ≤ s := by omega
    obtain ⟨P, hP₀, hPₛ⟩ := hadm
    have hP₀' : P ∈ (C.arc x s).sets 0 := by simpa only [arc, Nat.cast_zero, add_zero] using hP₀
    have hPₛ' : P ∈ (C.arc x s).sets s := by simpa only [arc, Nat.cast_add] using hPₛ
    obtain ⟨T⟩ := (C.arc x s).split hG (C.ExteriorGood x (x + s)) hslarge hsodd P
      hP₀' hPₛ' (C.bad_exterior_boundary x s hs P hP₀' hPₛ')
    have h₁ := T.positive
    have h₂ := T.ordered
    have h₃ := T.inside
    have ho := T.odd₁
    have he := T.even₂
    have cell := C.cell_of_split x s heven hsodd hbound ⟨P, hP₀, hPₛ⟩ T
    obtain ⟨Q₁⟩ := ih T.p₁ (by omega) x h₁ ho (by omega) cell.first
    have eq₂ : x + T.p₁ + (T.p₂ - T.p₁) = x + T.p₂ := by omega
    have eq₃ : x + T.p₂ + (s - T.p₂) = x + s := by omega
    obtain ⟨Q₂⟩ := ih (T.p₂ - T.p₁) (by omega) (x + T.p₁) (by omega) (by omega)
      (by omega) (by simpa only [eq₂] using cell.middle)
    obtain ⟨Q₃⟩ := ih (s - T.p₂) (by omega) (x + T.p₂) (by omega) (by omega)
      (by omega) (by simpa only [eq₃] using cell.third)
    rw [eq₂] at Q₂
    rw [eq₃] at Q₃
    exact ⟨.node cell Q₁ Q₂ Q₃⟩

theorem quadrangulate (hG : G.IsAcyclic) (hm : 4 ≤ m) (heven : m % 2 = 0) :
    Nonempty (Subdivision C 0 (m - 1)) := by
  have hclose : C.labels ((m : ℤ) - 1) = C.labels (-1) := by
    calc
      C.labels ((m : ℤ) - 1) = C.labels (-1 + (m : ℤ)) := congrArg C.labels (by omega)
      _ = C.labels (-1) := C.periodic (-1)
  have hadm : C.Admissible 0 (0 + (m - 1)) := by
    refine ⟨C.labels (-1), ?_, ?_⟩
    · simp [sets]
    · simp only [Nat.zero_add, sets, Finset.mem_insert, Finset.mem_singleton]
      right
      rw [← hclose]
      congr 1
      omega
  simpa only [Nat.zero_add] using
    C.quadrangulate_arc hG heven (m - 1) 0 (by omega) (by omega) (by omega) hadm

namespace Subdivision

variable {C} {x y : ℕ}

def cells : {x y : ℕ} → Subdivision C x y → ℕ
  | _, _, .edge _ => 0
  | _, _, .node _ Q₁ Q₂ Q₃ => 1 + Q₁.cells + Q₂.cells + Q₃.cells

def sumCells : {x y : ℕ} → Subdivision C x y → (ℕ → ℕ → ℕ → ℕ → ℝ) → ℝ
  | _, _, .edge _, _ => 0
  | x, y, .node (p := p) (q := q) _ Q₁ Q₂ Q₃, localTerm =>
      localTerm x p q y + Q₁.sumCells localTerm + Q₂.sumCells localTerm + Q₃.sumCells localTerm

end Subdivision

end CycleData

end MatchingFPRAS.Cells

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Sampling_ChosenChord
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Cells.CycleData

variable {L : Type*} [DecidableEq L] {G : SimpleGraph L} {m : ℕ} {C : CycleData G m}

@[ext] structure CellIndex where
  x : ℕ
  p : ℕ
  q : ℕ
  y : ℕ
  deriving DecidableEq

namespace Subdivision

variable {x y : ℕ}

def cellList : {x y : ℕ} → Subdivision C x y → List CellIndex
  | _, _, .edge _ => []
  | x, y, .node (p := p) (q := q) _ Q₁ Q₂ Q₃ =>
      ⟨x,p,q,y⟩ :: (Q₁.cellList ++ Q₂.cellList ++ Q₃.cellList)

lemma mem_cellList {Q : Subdivision C x y} {a : CellIndex} (ha : a ∈ Q.cellList) :
    x ≤ a.x ∧ a.y ≤ y ∧ C.Cell a.x a.p a.q a.y := by
  induction Q with
  | edge h => simp [cellList] at ha
  | @node x p q y h Q₁ Q₂ Q₃ ih₁ ih₂ ih₃ =>
    simp only [cellList, List.mem_cons, List.mem_append] at ha
    rcases ha with rfl | (ha | ha) | ha
    · exact ⟨le_rfl, le_rfl, h⟩
    · obtain ⟨hx,hy,hc⟩ := ih₁ ha
      exact ⟨hx, by have := h.middle_pos; have := h.third_pos; omega, hc⟩
    · obtain ⟨hx,hy,hc⟩ := ih₂ ha
      exact ⟨by have := h.first_pos; omega, by have := h.third_pos; omega, hc⟩
    · obtain ⟨hx,hy,hc⟩ := ih₃ ha
      exact ⟨by have := h.first_pos; have := h.middle_pos; omega, hy, hc⟩

def cellSet (Q : Subdivision C x y) : Finset CellIndex := Q.cellList.toFinset

end Subdivision

end MatchingFPRAS.Cells.CycleData

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_MatchingMap
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Transport

open Finset

variable {V E F : Type*} [Fintype V] [Fintype E] [Fintype F]

variable [DecidableEq V] [DecidableEq E] [DecidableEq F]

variable (inc : E → V → Prop) (inc' : F → V → Prop) (f : E ↪ F)

variable (hinc : ∀ e x,inc' (f e) x ↔ inc e x)

noncomputable def edgeExtension (w : E → ℝ) (q : F) : ℝ := by
  classical
  exact if h : ∃ e,f e=q then w h.choose else 0

end MatchingFPRAS.Transport

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open MatchingFPRAS.Hierarchy MatchingFPRAS.Transport Finset

variable {V : Type*} [Fintype V] [LinearOrder V] [Nontrivial V]

noncomputable local instance instDecidableEqSourceLabel (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _

noncomputable local instance instFintypeBagEdgeSourceVertexSourceLabelSourceBags (w : V → V → ℝ) (K : ℕ) : Fintype (BagEdge (sourceBags w K)) := Fintype.ofFinite _

noncomputable def sourceRealLabel (w : V → V → ℝ) (K : ℕ) (e : SourceRealEdge V K) : SourceLabel w K :=
  edgeLabel (sourceRealB w K) (sourceRealB_comm w K) (sourceRealB_tri w K)
    (realLeft K) (realRight K) (sourceLevels w K) e

omit [Nontrivial V] in
lemma real_edge_not_diag [Nontrivial V] (K : ℕ) (e : SourceRealEdge V K) :
    ¬(edge source target (4*(2*K+2)) e.1 e.2).IsDiag := by
  rw [edge,Sym2.mk_isDiag_iff]
  intro he
  have hi := atVertex_injective source target (4*(2*K+2)) e.1 (source_ne_target e.1) he
  have := congrArg Fin.val hi
  simp at this

noncomputable def sourceColoredReal (w : V → V → ℝ) (K : ℕ) (e : SourceRealEdge V K) :
    BagEdge (sourceBags w K) :=
  ⟨⟨(edge source target (4*(2*K+2)) e.1 e.2,sourceRealLabel w K e),real_edge_not_diag K e⟩,by
    intro x hx
    apply (mem_memberships _ _ _ (realLeft K) (realRight K) (sourceLevels w K) x _).mpr
    refine ⟨e,?_,rfl⟩
    simpa [ColoredEdge.Incident,Incident,realLeft,realRight,edge] using hx⟩

lemma sourceColoredReal_injective (w : V → V → ℝ) (K : ℕ) :
    Function.Injective (sourceColoredReal w K) := by
  intro e f h
  apply edge_injective source target (4*(2*K+2)) (by omega)
  exact congrArg (fun q : BagEdge (sourceBags w K) => q.val.val.1) h

noncomputable def sourceRealEmbedding (w : V → V → ℝ) (K : ℕ) :
    SourceRealEdge V K ↪ BagEdge (sourceBags w K) :=
  ⟨sourceColoredReal w K,sourceColoredReal_injective w K⟩

noncomputable def sourceRealActivity (w : V → V → ℝ) (K : ℕ) (e : SourceRealEdge V K) : ℝ :=
  pathActivity (2*K+2) (fun e => bottleneck w (source e) (target e))
    (fun e => sourceHeight w (source e)) (fun e => sourceHeight w (target e)) (logicalActivity w) e.1 e.2

noncomputable def sourceRealPortion (w : V → V → ℝ) (K : ℕ) : BagEdge (sourceBags w K) → ℝ :=
  by classical exact edgeExtension (sourceRealEmbedding w K) (sourceRealActivity w K)

noncomputable def holeTerminals (K : ℕ) (H : Finset (SourceVertex V K)) : Finset V :=
  by classical exact univ.filter fun x => Sum.inl x∈H

noncomputable def holeInternals (K : ℕ) (H : Finset (SourceVertex V K)) (e : LogicalEdge V) :
    Finset (Fin (4*(2*K+2))) := by classical exact univ.filter fun i => Sum.inr (e,i)∈H

omit [Nontrivial V] in
lemma survivors_empty [Nontrivial V] (K : ℕ) : survivors (V := V) (E := LogicalEdge V) (4*(2*K+2)) ∅ (fun _ => ∅)=univ := by
  ext x
  cases x with
  | inl x => simp
  | inr ei => rcases ei with ⟨e,i⟩; simp



open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open MatchingFPRAS.Hierarchy MatchingFPRAS.Transport Finset

variable {V : Type*} [Fintype V] [LinearOrder V] [Nontrivial V]

noncomputable local instance instDecidableEqSourceLabel_1_rb8346f_1 (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _
noncomputable def bagHeight (w : V → V → ℝ) (K : ℕ) (l : SourceLabel w K) : ℝ := (2:ℝ)^l.1.val

noncomputable def sourceBagWeight (w : V → V → ℝ) (K D : ℕ)
    (e : BagEdge (sourceBags w K)) : ℝ :=
  sourceRealPortion w K e+bagHeight w K e.val.val.2/D

noncomputable def sourceD (K : ℕ) : ℕ :=
  100*Fintype.card (SourceVertex V K)^2*(100000000*(Fintype.card V+1)^4)

lemma sourceD_one (K : ℕ) : 1 ≤ sourceD (V:=V) K := by
  have hn : 0 < Fintype.card (SourceVertex V K) := Fintype.card_pos
  have hp : 0 < sourceD (V:=V) K := by
    dsimp [sourceD]
    positivity
  omega

end MatchingFPRAS.Enlargement

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_PM
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open MatchingFPRAS.Hierarchy MatchingFPRAS.Transport Finset

variable {V : Type*} [Fintype V] [LinearOrder V] [Nontrivial V]

noncomputable local instance instDecidableEqSourceLabel_2_rb8346f_1 (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _
omit [Nontrivial V] in
lemma sourceVertex_card_ge (K : ℕ) : Fintype.card V ≤ Fintype.card (SourceVertex V K) := by
  exact Fintype.card_le_of_injective (Sum.inl : V → SourceVertex V K) Sum.inl_injective

end MatchingFPRAS.Enlargement

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_Marked
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Marking

open Finset MatchingFPRAS.Transport

variable {V E I : Type*} [Fintype V] [Fintype E] [Fintype I]

variable [DecidableEq V] [DecidableEq E] [DecidableEq I]

variable (inc : E → V → Prop)

abbrev Marked := Σ M : Matchings inc univ, (↥M.val → I)

noncomputable def mass (part : E → I → ℝ) (a : Marked (I:=I) inc) : ℝ :=
  ∏ e : a.1.val, part e.val (a.2 e)

def collapse (part : E → I → ℝ) (e : E) : ℝ := ∑ i,part e i

noncomputable def law (part : E → I → ℝ) (a : Marked (I:=I) inc) : ℝ :=
  mass inc part a/partitionWeight inc (collapse part) univ

end MatchingFPRAS.Marking

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open MatchingFPRAS.Hierarchy MatchingFPRAS.Transport MatchingFPRAS.Representation Finset

variable {V : Type*} [Fintype V] [LinearOrder V] [Nontrivial V]

noncomputable local instance instDecidableEqSourceLabel_3 (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _

noncomputable local instance instFintypeBagEdgeSourceVertexSourceLabelSourceBags_4 (w : V → V → ℝ) (K : ℕ) : Fintype (BagEdge (sourceBags w K)) := Fintype.ofFinite _

noncomputable def frozenActivity (w w₁ : V → V → ℝ) (K : ℕ)
    (e : SourceRealEdge V K) : ℝ :=
  pathActivity (2*K+2) (fun e => bottleneck w (source e) (target e))
    (fun e => sourceHeight w (source e)) (fun e => sourceHeight w (target e))
    (logicalActivity w₁) e.1 e.2

noncomputable def frozenPortion (w w₁ : V → V → ℝ) (K : ℕ) : BagEdge (sourceBags w K) → ℝ :=
  by classical exact edgeExtension (sourceRealEmbedding w K) (frozenActivity w w₁ K)

noncomputable def sourceC (w : V → V → ℝ) (K : ℕ) : ℝ :=
  ∏ e : LogicalEdge V,pathConstant (2*K+2) (bottleneck w (source e) (target e))
    (sourceHeight w (source e)) (sourceHeight w (target e))

noncomputable def rawReweight (w w₁ : V → V → ℝ) (K : ℕ) (e : SourceRealEdge V K) : ℝ :=
  if e.2.val=2*(2*K+2) then logicalActivity w₁ e.1/logicalActivity w e.1 else 1

noncomputable def bagReweight (w w₁ : V → V → ℝ) (K : ℕ) (q : BagEdge (sourceBags w K)) : ℝ := by
  classical
  exact if h : ∃ e,sourceRealEmbedding w K e=q then rawReweight w w₁ K h.choose else 1

lemma bagReweight_on (w w₁ : V → V → ℝ) (K : ℕ) (e : SourceRealEdge V K) :
    bagReweight w w₁ K (sourceRealEmbedding w K e)=rawReweight w w₁ K e := by
  classical
  unfold bagReweight
  rw [dite_eq_left ⟨e,rfl⟩]
  exact congrArg (rawReweight w w₁ K) ((sourceRealEmbedding w K).injective
    (Exists.choose_spec (show ∃ e',sourceRealEmbedding w K e'=sourceRealEmbedding w K e from ⟨e,rfl⟩)))

noncomputable def centralEdge (w : V → V → ℝ) (K : ℕ) (e : LogicalEdge V) : BagEdge (sourceBags w K) :=
  sourceRealEmbedding w K (e,⟨2*(2*K+2),by omega⟩)

noncomputable def probePortion (w : V → V → ℝ) (K D : ℕ) (q : BagEdge (sourceBags w K)) : ℝ := by
  classical
  exact if ∃ e,centralEdge w K e=q then 1/(D:ℝ) else 0

noncomputable def sourcePortions (w : V → V → ℝ) (K D : ℕ)
    (e : BagEdge (sourceBags w K)) : Fin 3 → ℝ :=
  ![sourceRealPortion w K e,bagHeight w K e.val.val.2/D-probePortion w K D e,probePortion w K D e]

noncomputable def probePartial (w : V → V → ℝ) (K : ℕ) (e₀ : LogicalEdge V) :
    Partial (BagEdge.Incident (bags:=sourceBags w K)) := by
  classical
  refine ⟨{centralEdge w K e₀},?_,?_⟩
  · intro e he x hx
    exact (mem_support _ _ _).mpr ⟨e,he,hx⟩
  · intro x hx
    obtain ⟨e,he,hex⟩ := (mem_support _ _ _).mp hx
    refine ⟨e,⟨he,hex⟩,?_⟩
    intro f hf
    exact (mem_singleton.mp hf.1).trans (mem_singleton.mp he).symm

open scoped Classical

abbrev SourceMarked (w : V → V → ℝ) (K : ℕ) :=
  Marking.Marked (I:=Fin 3) (BagEdge.Incident (bags:=sourceBags w K))

noncomputable def sourceLaw (w : V → V → ℝ) (K D : ℕ) : SourceMarked w K → ℝ :=
  Marking.law BagEdge.Incident (sourcePortions w K D)

noncomputable def observableA (w : V → V → ℝ) (K : ℕ) (a : SourceMarked w K) : ℝ := by
  classical exact if a.2=(fun _ => 0) then 1 else 0

noncomputable def observableD (w w₁ : V → V → ℝ) (K : ℕ) (a : SourceMarked w K) : ℝ := by
  classical exact if a.2=(fun _ => 0) then ∏ e ∈ a.1.val,bagReweight w w₁ K e else 0

noncomputable def observableProbe (w w₁ : V → V → ℝ) (K : ℕ) (e₀ : LogicalEdge V)
    (a : SourceMarked w K) : ℝ := by
  classical exact if {centralEdge w K e₀}⊆a.1.val ∧
      a.2=(fun e => if e.val∈({centralEdge w K e₀} : Finset _) then 2 else 0)
    then ∏ e ∈ a.1.val \ {centralEdge w K e₀},bagReweight w w₁ K e else 0

noncomputable def sourceBagZ (w : V → V → ℝ) (K D : ℕ) : ℝ :=
  partitionWeight BagEdge.Incident (sourceBagWeight w K D) univ

end MatchingFPRAS.Enlargement

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Probability_Tv
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Variation

open Finset
open scoped Classical

variable {Ω Ψ : Type*} [Fintype Ω] [Fintype Ψ]

noncomputable def iid (p : Ω → ℝ) (n : ℕ) (x : Fin n → Ω) : ℝ := ∏ i,p (x i)

omit [Fintype Ω] in
lemma iid_nonneg (p : Ω → ℝ) (hp : ∀ x,0 ≤ p x) (n : ℕ) (x : Fin n → Ω) : 0 ≤ iid p n x :=
  prod_nonneg fun _ _ => hp _

lemma iid_sum (p : Ω → ℝ) (hs : ∑ x,p x=1) (n : ℕ) : ∑ x,iid p n x=1 := by
  unfold iid
  rw [←Fintype.prod_sum]
  simp [hs]


end MatchingFPRAS.Variation

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Tapes_RunBits
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Counting

open Finset

abbrev alpha : ℚ := 1/100000

lemma others_nonempty {n : ℕ} (hn : 2 ≤ n) (i : Fin n) : (univ.erase i).Nonempty := by
  let j : Fin n := ⟨if i.val=0 then 1 else 0, by split_ifs <;> omega⟩
  refine ⟨j,mem_erase.mpr ⟨?_,mem_univ _⟩⟩
  apply Fin.ne_of_val_ne
  dsimp [j]; split_ifs <;> omega

def rowMaximum {n : ℕ} (hn : 2 ≤ n) (G : Fin n → Fin n → ℚ) (v : Fin n → ℚ) (i : Fin n) : ℚ :=
  (univ.erase i).sup' (others_nonempty hn i) (fun j => G i j / v j)

def scaleUpdate {n : ℕ} (hn : 2 ≤ n) (G : Fin n → Fin n → ℚ) (v : Fin n → ℚ) (i : Fin n) : Fin n → ℚ :=
  Function.update v i (rowMaximum hn G v i)

def scalingTrace {n : ℕ} (hn : 2 ≤ n) (G : Fin n → Fin n → ℚ) : ℕ → Fin n → ℚ
  | 0 => fun _ => 2
  | k+1 => if hk : k<n then scaleUpdate hn G (scalingTrace hn G k) ⟨k,hk⟩ else scalingTrace hn G k



open Finset

variable {n : ℕ}

structure ScaleInvariant (G : Fin n → Fin n → ℚ) (v : Fin n → ℚ) : Prop where
  lower : ∀ i, alpha/2 ≤ v i
  upper : ∀ i, v i ≤ 2
  feasible : ∀ i j, i≠j → G i j ≤ v i*v j

lemma ScaleInvariant.pos {G : Fin n → Fin n → ℚ} {v : Fin n → ℚ}
    (hv : ScaleInvariant G v) (i) : 0 < v i := lt_of_lt_of_le (by norm_num [alpha]) (hv.lower i)

lemma rowMaximum_le (hn : 2 ≤ n) (G : Fin n → Fin n → ℚ) (v : Fin n → ℚ)
    (hv : ScaleInvariant G v) (i) : rowMaximum hn G v i ≤ v i := by
  apply Finset.sup'_le
  intro j hj
  exact (div_le_iff₀ (hv.pos j)).mpr (hv.feasible i j (mem_erase.mp hj).1.symm)

lemma ratio_le_rowMaximum (hn : 2 ≤ n) (G : Fin n → Fin n → ℚ) (v : Fin n → ℚ)
    (i j) (hji : j≠i) : G i j/v j ≤ rowMaximum hn G v i :=
  Finset.le_sup' (fun j => G i j/v j) (mem_erase.mpr ⟨hji,mem_univ _⟩)

lemma rowMaximum_lower (hn : 2 ≤ n) (G : Fin n → Fin n → ℚ) (v : Fin n → ℚ)
    (hG : ∀ i j, i≠j → alpha ≤ G i j) (hv : ScaleInvariant G v) (i) :
    alpha/2 ≤ rowMaximum hn G v i := by
  obtain ⟨j,hj⟩ := others_nonempty hn i
  have hji := (mem_erase.mp hj).1
  apply le_trans _ (ratio_le_rowMaximum hn G v i j hji)
  apply (le_div_iff₀ (hv.pos j)).mpr
  have hGi := hG i j hji.symm
  have hvi := hv.upper j
  norm_num [alpha] at *
  linarith

lemma scaleUpdate_le (hn : 2 ≤ n) (G : Fin n → Fin n → ℚ) (v : Fin n → ℚ)
    (hv : ScaleInvariant G v) (i j) : scaleUpdate hn G v i j ≤ v j := by
  by_cases hji : j=i
  · subst j; simpa [scaleUpdate] using rowMaximum_le hn G v hv i
  · simp [scaleUpdate,Function.update_of_ne hji]

lemma scaleUpdate_invariant (hn : 2 ≤ n) (G : Fin n → Fin n → ℚ) (v : Fin n → ℚ)
    (hsym : ∀ i j, G i j=G j i) (hG : ∀ i j, i≠j → alpha ≤ G i j)
    (hv : ScaleInvariant G v) (i) : ScaleInvariant G (scaleUpdate hn G v i) := by
  constructor
  · intro j
    by_cases hji : j=i
    · subst j; simpa [scaleUpdate] using rowMaximum_lower hn G v hG hv i
    · simpa [scaleUpdate,Function.update_of_ne hji] using hv.lower j
  · intro j; exact (scaleUpdate_le hn G v hv i j).trans (hv.upper j)
  · intro a b hab
    by_cases hai : a=i
    · subst a
      have hb := (div_le_iff₀ (hv.pos b)).mp (ratio_le_rowMaximum hn G v i b hab.symm)
      simpa [scaleUpdate,Function.update_of_ne hab.symm] using hb
    · by_cases hbi : b=i
      · subst b
        have ha := (div_le_iff₀ (hv.pos a)).mp (ratio_le_rowMaximum hn G v i a hai)
        simpa [scaleUpdate,Function.update_of_ne hai,hsym i a,mul_comm] using ha
      · simpa [scaleUpdate,Function.update_of_ne hai,Function.update_of_ne hbi] using hv.feasible a b hab

lemma scaleUpdate_tight (hn : 2 ≤ n) (G : Fin n → Fin n → ℚ) (v : Fin n → ℚ)
    (hv : ScaleInvariant G v) (i) :
    ∃ j, j≠i ∧ scaleUpdate hn G v i i*scaleUpdate hn G v i j=G i j := by
  obtain ⟨j,hj,heq⟩ := Finset.exists_mem_eq_sup' (others_nonempty hn i) (fun j => G i j/v j)
  have hji := (mem_erase.mp hj).1
  refine ⟨j,hji,?_⟩
  change rowMaximum hn G v i = G i j/v j at heq
  simp only [scaleUpdate,Function.update_self,Function.update_of_ne hji]
  rw [heq]
  exact div_mul_cancel₀ _ (hv.pos j).ne'

lemma tight_persists (G : Fin n → Fin n → ℚ) (v v' : Fin n → ℚ)
    (hv : ScaleInvariant G v) (hv' : ScaleInvariant G v') (hdown : ∀ i, v' i ≤ v i)
    (i j) (hji : j≠i) (hij : v i*v j=G i j) : v' i*v' j=G i j := by
  apply le_antisymm
  · calc
      _ ≤ v i*v j := mul_le_mul (hdown i) (hdown j) (hv'.pos j).le (hv.pos i).le
      _ = _ := hij
  · exact hv'.feasible i j hji.symm




lemma scalingTrace_invariant (hn : 2 ≤ n) (G : Fin n → Fin n → ℚ)
    (hsym : ∀ i j, G i j=G j i) (hG : ∀ i j, i≠j → alpha ≤ G i j ∧ G i j ≤ 3)
    (k : ℕ) : ScaleInvariant G (scalingTrace hn G k) ∧
      ∀ i, i.val<k → ∃ j, j≠i ∧ scalingTrace hn G k i*scalingTrace hn G k j=G i j := by
  induction k with
  | zero =>
    constructor
    · constructor
      · intro i; norm_num [scalingTrace,alpha]
      · intro i; simp [scalingTrace]
      · intro i j h; have := (hG i j h).2; simp only [scalingTrace]; linarith
    · intro i hi; omega
  | succ k ih =>
    by_cases hk : k<n
    · let i : Fin n := ⟨k,hk⟩
      have hinv := scaleUpdate_invariant hn G (scalingTrace hn G k) hsym (fun i j h => (hG i j h).1) ih.1 i
      have htrace : scalingTrace hn G (k+1)=scaleUpdate hn G (scalingTrace hn G k) i := by
        simp [scalingTrace,hk,i]
      rw [htrace]
      refine ⟨hinv,?_⟩
      intro a ha
      by_cases hak : a.val<k
      · obtain ⟨j,hj,he⟩ := ih.2 a hak
        refine ⟨j,hj,?_⟩
        exact tight_persists G _ _ ih.1 hinv (scaleUpdate_le hn G _ ih.1 i) a j hj he
      · have hai : a=i := Fin.ext (by dsimp [i]; omega)
        subst a
        exact scaleUpdate_tight hn G _ ih.1 i
    · have htrace : scalingTrace hn G (k+1)=scalingTrace hn G k := by simp [scalingTrace,hk]
      rw [htrace]
      refine ⟨ih.1,?_⟩
      intro i _
      exact ih.2 i (by have := i.isLt; omega)



open Finset



def sigma (D K : ℕ) (epsilon : ℚ) : ℚ := min (alpha/(100*D)) (epsilon/(1000*K))

def ratioEstimate (abar dbar : ℚ) : ℚ := if 0<abar then dbar/abar else 1

def upperEstimate (D : ℕ) (dbar zbar : ℚ) : ℚ :=
  if 0<dbar then max alpha (min 3 ((D:ℚ)*zbar/dbar+alpha)) else 1

end MatchingFPRAS.Counting

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Sampling_Certify
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.ComputableReach

open Finset

variable {α : Type*} [Fintype α] [DecidableEq α]

variable (G : SimpleGraph α) [DecidableRel G.Adj]

def grow (s : Finset α) : Finset α := s ∪ univ.filter (fun b => ∃ a ∈ s, G.Adj a b)

def reached (s : Finset α) (n : ℕ) : Finset α := (grow G)^[n] s

def closure (a : α) : Finset α := reached G {a} (Fintype.card α)

lemma mem_grow (s : Finset α) (b : α) :
    b ∈ grow G s ↔ b ∈ s ∨ ∃ a ∈ s, G.Adj a b := by simp [grow]

lemma subset_grow (s : Finset α) : s ⊆ grow G s := subset_union_left

lemma reached_step (s : Finset α) (n : ℕ) : reached G s (n+1) = grow G (reached G s n) :=
  Function.iterate_succ_apply' _ _ _

lemma reached_step' (s : Finset α) (n : ℕ) : reached G s (n+1) = reached G (grow G s) n :=
  Function.iterate_succ_apply _ _ _

lemma reached_succ (s : Finset α) (n : ℕ) : reached G s n ⊆ reached G s (n+1) := by
  rw [reached_step]
  exact subset_grow G _

lemma reached_mono_time (s : Finset α) : Monotone (reached G s) :=
  monotone_nat_of_le_succ (reached_succ G s)

lemma reached_reachable (a b : α) (n : ℕ) (h : b ∈ reached G {a} n) : G.Reachable a b := by
  induction n generalizing b with
  | zero =>
    have hb : b=a := by simpa [reached] using h
    subst b
    exact SimpleGraph.Reachable.refl a
  | succ n ih =>
    rw [reached_step,mem_grow] at h
    rcases h with h | ⟨c,hc,hcb⟩
    · exact ih b h
    · exact (ih c hc).trans hcb.reachable

lemma walk_reached {s : Finset α} {a b : α} (p : G.Walk a b) (ha : a ∈ s) :
    b ∈ reached G s p.length := by
  induction p generalizing s with
  | nil => exact ha
  | @cons a b c hab p ih =>
    rw [SimpleGraph.Walk.length_cons,reached_step']
    exact ih ((mem_grow G s b).mpr (Or.inr ⟨a,ha,hab⟩))

@[simp] theorem mem_closure (a b : α) : b ∈ closure G a ↔ G.Reachable a b := by
  constructor
  · exact reached_reachable G a b _
  · rintro ⟨p⟩
    exact reached_mono_time G {a} p.toPath.isPath.length_lt.le
      (walk_reached G p.toPath.val (mem_singleton_self a))

end MatchingFPRAS.ComputableReach

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_RemainingBags
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.UnitRefresh.Computable

open Finset MatchingFPRAS.Transport

variable {V L : Type*} [Fintype V] [Fintype L] [DecidableEq V] [DecidableEq L]

variable {bags : V → Finset L}

instance allowedDec (e : ColoredEdge V L) : Decidable (Allowed bags e) :=
  inferInstanceAs (Decidable (∀ x,x∈e.val.1 → e.val.2∈bags x))

end MatchingFPRAS.UnitRefresh.Computable

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Sampling_Sym2Order
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Transport

open Finset Variation

variable {V L : Type*} [Fintype V] [LinearOrder V] [Fintype L] [LinearOrder L]

@[instance_reducible] def sym2Order : LinearOrder (Sym2 V) :=
  LinearOrder.lift' (fun e=>toLex (Sym2.sortEquiv e).val)
    (fun _ _ h=>Sym2.sortEquiv.injective (Subtype.ext (toLex.injective h)))

attribute [local instance] sym2Order

@[instance_reducible] def bagEdgeOrder {bags : V → Finset L} : LinearOrder (BagEdge bags) :=
  LinearOrder.lift' (fun e : BagEdge bags=>toLex e.val.val)
    (fun _ _ h=>Subtype.ext (Subtype.ext (toLex.injective h)))

attribute [local instance] bagEdgeOrder

variable {bags : V → Finset L} {G : SimpleGraph L}

variable (hbags : ∀ v,∀ a∈bags v,∀ b∈bags v,a=b ∨ G.Adj a b) (hG : G.IsAcyclic)

attribute [local instance] UnitRefresh.Computable.allowedDec

@[instance_reducible] def bagEdgeFintype : Fintype (BagEdge bags) := Subtype.fintype (Allowed bags)

attribute [local instance] bagEdgeFintype

end MatchingFPRAS.Transport

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Sampling_DiscreteLadderSteps
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.BottleneckAlgorithm

open Finset MatchingFPRAS.Switching

variable {V : Type*} [Fintype V] [LinearOrder V]

variable {α : Type*} [LinearOrder α] [OfNat α 1]

def edge (w : V → V → α) (a b : V) : α := if a<b then w a b else w b a

def seed (w : V → V → α) (a b : V) : α := if a=b then 1 else max 1 (edge w a b)

def advance (w : V → V → α) (a b : V) : α :=
  if a=b then 1 else max (w a b)
    (univ.sup' ⟨a,mem_univ a⟩ fun c => min (w a c) (w c b))

def close (w : V → V → α) : ℕ → V → V → α
  | 0 => seed w
  | k+1 => advance (close w k)

@[simp] lemma close_diag (w : V → V → α) (k : ℕ) (a : V) : close w k a a=1 := by
  cases k <;> simp [close,seed,advance]

lemma close_one (w : V → V → α) (k : ℕ) (a b : V) : 1 ≤ close w k a b := by
  induction k with
  | zero =>
    by_cases hab : a=b
    · simp [close,seed,hab]
    · simp [close,seed,hab]
  | succ k ih =>
    by_cases h : a=b
    · subst b; simp
    · exact ih.trans (by simp [close,advance,h])

lemma close_mono_step (w : V → V → α) (k : ℕ) (a b : V) :
    close w k a b ≤ close w (k+1) a b := by
  by_cases h : a=b
  · subst b; simp
  · simp [close,advance,h]

lemma close_mono (w : V → V → α) (a b : V) : Monotone (fun k=>close w k a b) :=
  monotone_nat_of_le_succ (fun k=>close_mono_step w k a b)

lemma edge_le_close (w : V → V → α) (k : ℕ) (a b : V) (hab : a≠b) :
    edge w a b ≤ close w k a b := by
  have h : edge w a b ≤ close w 0 a b := by
    simp [close,seed,hab]
  exact h.trans (close_mono w a b (Nat.zero_le k))

lemma via_le_close (w : V → V → α) (k : ℕ) (a b c : V) (hab : a≠b) :
    min (close w k a c) (close w k c b) ≤ close w (k+1) a b := by
  exact (le_sup' (fun c=>min (close w k a c) (close w k c b)) (mem_univ c)).trans
    (by simp [close,advance,hab])

lemma chain_le_close (w : V → V → α) (t : α) (a b : V) (L : List V)
    (hab : a≠b) (hc : List.IsChain (fun x y=>t≤edge w x y) (a::L))
    (hn : (a::L).Nodup) (hb : b∈L) : t ≤ close w L.length a b := by
  induction L generalizing a with
  | nil => simp at hb
  | cons c cs ih =>
    rcases List.isChain_cons_cons.mp hc with ⟨hac,hc⟩
    have han := List.nodup_cons.mp hn
    have hne : a≠c := by intro h; apply han.1; simp [h]
    rcases List.mem_cons.mp hb with rfl|hb
    · exact hac.trans (edge_le_close w _ _ _ hne)
    · have hcb : c≠b := by
        intro he
        exact (List.nodup_cons.mp han.2).1 (he ▸ hb)
      have hh := ih c hcb hc han.2 hb
      change t ≤ close w (cs.length+1) a b
      exact (le_min (hac.trans (edge_le_close w cs.length a c hne)) hh).trans
        (via_le_close w cs.length a b c hab)

lemma close_le (w B : V → V → α) (_hdiag : ∀ a,B a a=1) (hone : ∀ a b,1≤B a b)
    (hedge : ∀ a b,a≠b → edge w a b≤B a b)
    (htri : ∀ a b c,a≠b → a≠c → b≠c → min (B a c) (B c b)≤B a b)
    (k : ℕ) (a b : V) : close w k a b≤B a b := by
  induction k generalizing a b with
  | zero =>
    by_cases hab : a=b
    · subst b; simpa [close,seed] using hone a a
    · simpa [close,seed,hab] using max_le (hone a b) (hedge a b hab)
  | succ k ih =>
    by_cases hab : a=b
    · subst b; simpa using hone a a
    · change (if a=b then 1 else _)≤_
      rw [ite_eq_right hab]
      apply max_le (ih a b)
      apply sup'_le
      intro c _
      by_cases hac : a=c
      · subst c
        rw [close_diag]
        exact (min_le_left _ _).trans (hone a b)
      by_cases hbc : b=c
      · subst c
        rw [close_diag]
        exact (min_le_right _ _).trans (hone a b)
      exact (min_le_min (ih a c) (ih c b)).trans (htri a b c hab hac hbc)

theorem real_close_eq (w : V → V → ℝ) (a b : V) :
    close w (Fintype.card V) a b=bottleneck w a b := by
  apply le_antisymm
  · exact close_le w (bottleneck w) (by intro a; simp [bottleneck])
      (one_le_bottleneck w) (edgeActivity_le_bottleneck w) (bottleneck_ultrametric w) _ _ _
  · by_cases hab : a=b
    · subst b; simp [bottleneck]
    by_cases ht : 1<bottleneck w a b
    · obtain ⟨L,hL,hnd,hb⟩ := bottleneck_path w a b hab ht
      have hlen := hnd.length_le_card
      have h := chain_le_close w (bottleneck w a b) a b L hab hL hnd hb
      exact h.trans (close_mono w a b (by simpa using (show L.length≤Fintype.card V from by simpa using (Nat.le_of_succ_le hlen))))
    · exact (le_of_not_gt ht).trans (close_one w _ _ _)

lemma cast_close (w : V → V → ℚ) (k : ℕ) (a b : V) :
    ((close w k a b : ℚ) : ℝ)=close (fun x y => (w x y : ℝ)) k a b := by
  induction k generalizing a b with
  | zero =>
    unfold close seed edge
    split_ifs <;> simp [Rat.cast_max]
  | succ k ih =>
    simp only [close,advance]
    split_ifs with hab
    · simp
    · have hh := Finset.apply_sup'_eq_sup'_comp (s:=(univ:Finset V))
        (f:=fun c=>min (close w k a c) (close w k c b)) ⟨a,mem_univ a⟩
        (fun x : ℚ => (x : ℝ)) (by intro x y; exact Rat.cast_max x y)
      rw [Rat.cast_max]
      apply congrArg₂ max (ih a b)
      calc
        _ = _ := hh
        _ = _ := by
          apply Finset.sup'_congr _ rfl
          intro c _
          simp [Rat.cast_min,ih]

theorem rational_close_eq (w : V → V → ℚ) (a b : V) :
    ((close w (Fintype.card V) a b : ℚ) : ℝ)=bottleneck (fun x y=>(w x y:ℝ)) a b := by
  rw [cast_close,real_close_eq]

end MatchingFPRAS.BottleneckAlgorithm

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Algorithm_RelabelWeights
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Enlargement
open Transport

variable {V : Type*} [Fintype V] [LinearOrder V] [Nontrivial V]
noncomputable local instance relabelWeightsSourceLabelDecidableEq (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _
noncomputable local instance relabelWeightsSourceBagEdgeFintype (w : V → V → ℝ) (K : ℕ) : Fintype (BagEdge (sourceBags w K)) := Fintype.ofFinite _
end MatchingFPRAS.Enlargement

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_CompleteGraph
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Counting

def scheduleAdmissible (n : ℕ) (epsilon : ℚ) (k : ℕ) : Prop :=
  1 ≤ k ∧ (n:ℚ)^(n/2)/(1+1/(n:ℚ))^k ≤ epsilon/32



theorem counting_schedule_exists (n : ℕ) (hn : 2 ≤ n) (epsilon : ℚ)
    (he : 0 < epsilon) (he1 : epsilon < 1) :
    ∃ K : ℕ, scheduleAdmissible n epsilon K ∧
      (∀ k, scheduleAdmissible n epsilon k → K ≤ k) ∧
      (K:ℝ) ≤ 1+2*n*((n/2:ℕ)*Real.log n+Real.log (32/(epsilon:ℝ))) := by
  classical
  have hnr : (2:ℝ) ≤ n := by exact_mod_cast hn
  have hn0 : (0:ℝ) < n := by linarith
  have her : (0:ℝ) < epsilon := by exact_mod_cast he
  have he1r : (epsilon:ℝ) < 1 := by exact_mod_cast he1
  let b : ℝ := 1+1/(n:ℝ)
  have hb : 1 < b := by
    dsimp [b]
    have ht : 0 < 1/(n:ℝ) := by positivity
    linarith
  have hb0 : 0 < b := by linarith
  have hlog : 1/(2*(n:ℝ)) ≤ Real.log b := by
    have h := Real.one_sub_inv_le_log_of_pos hb0
    have hcalc : 1/(2*(n:ℝ)) ≤ 1-b⁻¹ := by
      dsimp [b]
      field_simp
      nlinarith
    exact hcalc.trans h
  let L : ℝ := (n/2:ℕ)*Real.log n+Real.log (32/(epsilon:ℝ))
  have hratio : 1 < 32/(epsilon:ℝ) := (lt_div_iff₀ her).mpr (by linarith)
  have hL : 0 < L := by
    have ha : 0 ≤ (n/2:ℕ)*Real.log (n:ℝ) := mul_nonneg (Nat.cast_nonneg _) (Real.log_nonneg (by linarith))
    have hb := Real.log_pos hratio
    dsimp [L]
    linarith
  let C : ℝ := 2*n*L
  have hC : 0 ≤ C := by dsimp [C]; positivity
  let k : ℕ := ⌊C⌋₊+1
  have hk1 : 1 ≤ k := by dsimp [k]; omega
  have hkt : C < (k:ℝ) := by
    dsimp [k]
    exact_mod_cast Nat.lt_floor_add_one C
  have hku : (k:ℝ) ≤ C+1 := by
    dsimp [k]
    push_cast
    linarith [Nat.floor_le hC]
  have hkl : L ≤ (k:ℝ)*Real.log b := by
    have hk0 : (0:ℝ) ≤ k := Nat.cast_nonneg _
    have hm := mul_le_mul_of_nonneg_left hlog hk0
    have hsmall : L ≤ (k:ℝ)*(1/(2*(n:ℝ))) := by
      rw [mul_one_div]
      apply (le_div_iff₀ (by positivity : 0 < 2*(n:ℝ))).mpr
      dsimp [C] at hkt
      nlinarith
    exact hsmall.trans hm
  have ha0 : (0:ℝ) < (n:ℝ)^(n/2)/b^k := by positivity
  have ht0 : (0:ℝ) < (epsilon:ℝ)/32 := by positivity
  have hlogratio : Real.log ((n:ℝ)^(n/2)/b^k) ≤ Real.log ((epsilon:ℝ)/32) := by
    rw [Real.log_div (by positivity) (by positivity),Real.log_pow,Real.log_pow]
    have hcancel : Real.log ((epsilon:ℝ)/32) = -Real.log (32/(epsilon:ℝ)) := by
      rw [Real.log_div (by positivity) (by norm_num),Real.log_div (by norm_num) (by positivity)]
      ring
    rw [hcancel]
    dsimp [L] at hkl
    linarith
  have hreal : (n:ℝ)^(n/2)/(1+1/(n:ℝ))^k ≤ (epsilon:ℝ)/32 :=
    (Real.log_le_log_iff ha0 ht0).mp hlogratio
  have hrat : (n:ℚ)^(n/2)/(1+1/(n:ℚ))^k ≤ epsilon/32 := by
    apply (Rat.cast_le (K := ℝ)).mp
    push_cast
    exact hreal
  have hex : ∃ k, scheduleAdmissible n epsilon k := ⟨k,hk1,hrat⟩
  refine ⟨Nat.find hex, Nat.find_spec hex, ?_, ?_⟩
  · intro j hj
    exact Nat.find_min' hex hj
  · have hleast : Nat.find hex ≤ k := Nat.find_min' hex ⟨hk1,hrat⟩
    have hlr : (Nat.find hex:ℝ) ≤ k := by exact_mod_cast hleast
    change (Nat.find hex:ℝ) ≤ 1+C
    linarith

end MatchingFPRAS.Counting

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_RatWeight
attribute [-instance] _root_.OAI.MatchingFPRAS.UnitRefresh.Computable.allowedDec
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open MatchingFPRAS.Hierarchy MatchingFPRAS.Transport Finset

variable {V : Type*} [Fintype V] [LinearOrder V] [Nontrivial V]

noncomputable local instance instDecidableEqSourceLabel_6 (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _

noncomputable local instance instFintypeBagEdgeSourceVertexSourceLabelSourceBags_7 (w : V → V → ℝ) (K : ℕ) : Fintype (BagEdge (sourceBags w K)) := Fintype.ofFinite _

open scoped Classical

end MatchingFPRAS.Enlargement

noncomputable section

namespace MatchingFPRAS.RealStage

open Finset

abbrev alpha : ℝ := 1/100000



open Finset

end MatchingFPRAS.RealStage

end

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_RowPeak
attribute [-instance] _root_.OAI.MatchingFPRAS.UnitRefresh.Computable.allowedDec
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

noncomputable section
namespace MatchingFPRAS.RealStage

open Finset

variable {n : ℕ}



open Finset



def sigma (D K : ℕ) (epsilon : ℝ) : ℝ := min (alpha/(100*D)) (epsilon/(1000*K))

def ratioEstimate (abar dbar : ℝ) : ℝ := if 0<abar then dbar/abar else 1

def upperEstimate (D : ℕ) (dbar zbar : ℝ) : ℝ :=
  if 0<dbar then max alpha (min 3 ((D:ℝ)*zbar/dbar+alpha)) else 1



end MatchingFPRAS.RealStage

end

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open MatchingFPRAS.Hierarchy MatchingFPRAS.Transport Finset
open scoped Classical

variable {V : Type*} [Fintype V] [LinearOrder V]

def pairEdge (i j : V) (hij : i≠j) : LogicalEdge V :=
  ⟨(min i j,max i j),min_lt_max.mpr hij⟩

omit [Fintype V] in
lemma pairEdge_swap (i j : V) (hij : i≠j) : pairEdge i j hij=pairEdge j i hij.symm := by
  apply Subtype.ext
  simp [pairEdge,min_comm,max_comm]

noncomputable def probeMatrix (z : LogicalEdge V → ℝ) (i j : V) : ℝ :=
  if hij : i=j then 0 else z (pairEdge i j hij)

omit [Fintype V] in
lemma probeMatrix_off (z : LogicalEdge V → ℝ) (i j : V) (hij : i≠j) :
    probeMatrix z i j=z (pairEdge i j hij) := dite_eq_right hij

omit [Fintype V] in
lemma probeMatrix_symm (z : LogicalEdge V → ℝ) (i j : V) : probeMatrix z i j=probeMatrix z j i := by
  by_cases hij : i=j
  · subst j; rfl
  · rw [probeMatrix_off _ _ _ hij,probeMatrix_off _ _ _ (Ne.symm hij),pairEdge_swap]

noncomputable def estimateMatrix (D : ℕ) (dbar : ℝ) (zbar : LogicalEdge V → ℝ) (i j : V) : ℝ :=
  RealStage.upperEstimate D dbar (probeMatrix zbar i j)

variable [Nontrivial V]

noncomputable local instance instDecidableEqSourceLabel_7 (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _

noncomputable local instance instFintypeBagEdgeSourceVertexSourceLabelSourceBags_8 (w : V → V → ℝ) (K : ℕ) : Fintype (BagEdge (sourceBags w K)) := Fintype.ofFinite _

noncomputable def meanA (w : V → V → ℝ) (K : ℕ) : ℝ :=
  ∑ q : SourceMarked w K,sourceLaw w K (sourceD (V:=V) K) q*observableA w K q

noncomputable def meanD (w w₁ : V → V → ℝ) (K : ℕ) : ℝ :=
  ∑ q : SourceMarked w K,sourceLaw w K (sourceD (V:=V) K) q*observableD w w₁ K q

noncomputable def meanProbe (w w₁ : V → V → ℝ) (K : ℕ) (e : LogicalEdge (V)) : ℝ :=
  ∑ q : SourceMarked w K,sourceLaw w K (sourceD (V:=V) K) q*observableProbe w w₁ K e q

variable {n : ℕ} [Nontrivial (Fin n)]

noncomputable local instance instDecidableEqSourceLabelFin_rb8346f_1 (w : Fin n → Fin n → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _
structure StageData (n K T : ℕ) where
  hn : 2 ≤ n
  w : Fin n → Fin n → ℝ
  next : Fin n → Fin n → ℝ
  positive : ∀ i j,0 < w i j
  next_positive : ∀ i j,0 < next i j
  partition_positive : 0 < partition w ∅
  lower : ∀ i,(1:ℝ)/4 ≤ rowMax (by simpa using hn) w i
  upper : ∀ i,rowMax (by simpa using hn) w i ≤ 1
  cool_lower : ∀ i j,i≠j → (1+1/(n:ℝ))⁻¹*w i j ≤ next i j
  cool_upper : ∀ i j,i≠j → next i j ≤ w i j
  cap : ∀ i j,i≠j → edgeActivity w i j ≤ (4:ℝ)^K
  stages : 1 ≤ T
  epsilon : ℝ
  epsilon_positive : 0 < epsilon
  epsilon_lt_one : epsilon < 1

variable {K T : ℕ}

structure EmpiricalData (c : StageData n K T) where
  abar : ℝ
  dbar : ℝ
  zbar : LogicalEdge (Fin n) → ℝ
  errorA : |abar-meanA c.w K| ≤ RealStage.sigma (sourceD (V:=Fin n) K) T c.epsilon
  errorD : |dbar-meanD c.w c.next K| ≤ RealStage.sigma (sourceD (V:=Fin n) K) T c.epsilon
  errorProbe : ∀ e,|zbar e-meanProbe c.w c.next K e| ≤ RealStage.sigma (sourceD (V:=Fin n) K) T c.epsilon

end MatchingFPRAS.Enlargement

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Probability_FinitePMF
attribute [-instance] _root_.OAI.MatchingFPRAS.UnitRefresh.Computable.allowedDec
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Concentration

open MeasureTheory ProbabilityTheory Finset

variable {Ω I J : Type*} [MeasurableSpace Ω] [Fintype I]

variable {μ : Measure Ω} [IsProbabilityMeasure μ]



open MeasureTheory ProbabilityTheory Finset
open scoped Classical

variable {Ω I J : Type*} [Fintype Ω] [Fintype I] [Fintype J]

noncomputable def finitePMF (p : Ω → ℝ) (hp : ∀ x,0 ≤ p x) (hs : ∑ x,p x=1) : PMF Ω :=
  PMF.ofFintype (fun x => ENNReal.ofReal (p x)) (by
    rw [←ENNReal.ofReal_sum_of_nonneg (fun x _ => hp x),hs]
    simp)

end MatchingFPRAS.Concentration

namespace MatchingFPRAS.Enlargement

open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open MatchingFPRAS.Hierarchy MatchingFPRAS.Transport Finset
open scoped Classical

variable {V : Type*} [Fintype V] [LinearOrder V] [Nontrivial V]

noncomputable local instance instDecidableEqSourceLabel_8 (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _

noncomputable local instance instFintypeBagEdgeSourceVertexSourceLabelSourceBags_9 (w : V → V → ℝ) (K : ℕ) : Fintype (BagEdge (sourceBags w K)) := Fintype.ofFinite _

omit [Fintype V] [Nontrivial V] in
lemma logicalActivity_le_off (w w₁ : V → V → ℝ)
    (h : ∀ i j,i≠j → w₁ i j ≤ w i j) (e : LogicalEdge V) :
    logicalActivity w₁ e ≤ logicalActivity w e := by
  unfold logicalActivity edgeActivity
  split_ifs
  · exact h _ _ e.property.ne
  · exact h _ _ e.property.ne.symm

lemma bagReweight_range_off (w w₁ : V → V → ℝ) (hw : ∀ x y,0 < w x y)
    (hw₁ : ∀ x y,0 ≤ w₁ x y) (hle : ∀ x y,x≠y → w₁ x y ≤ w x y)
    (K : ℕ) (e : BagEdge (sourceBags w K)) :
    0 ≤ bagReweight w w₁ K e ∧ bagReweight w w₁ K e ≤ 1 := by
  unfold bagReweight
  split_ifs with he
  · unfold rawReweight
    split_ifs
    · have h₀ : 0 < logicalActivity w he.choose.1 := by
        unfold logicalActivity edgeActivity; split_ifs <;> exact hw _ _
      have h₁ : 0 ≤ logicalActivity w₁ he.choose.1 := by
        unfold logicalActivity edgeActivity; split_ifs <;> exact hw₁ _ _
      exact ⟨div_nonneg h₁ h₀.le,(div_le_one h₀).mpr (logicalActivity_le_off w w₁ hle _)⟩
    · norm_num
  · norm_num

lemma observableD_range_off (w w₁ : V → V → ℝ) (hw : ∀ x y,0 < w x y)
    (hw₁ : ∀ x y,0 ≤ w₁ x y) (hle : ∀ x y,x≠y → w₁ x y ≤ w x y)
    (K : ℕ) (a : SourceMarked w K) :
    0 ≤ observableD w w₁ K a ∧ observableD w w₁ K a ≤ 1 := by
  unfold observableD
  split_ifs
  · exact ⟨Finset.prod_nonneg (fun e _ => (bagReweight_range_off w w₁ hw hw₁ hle K e).1),
      Finset.prod_le_one (fun e _ => (bagReweight_range_off w w₁ hw hw₁ hle K e).1)
        (fun e _ => (bagReweight_range_off w w₁ hw hw₁ hle K e).2)⟩
  · norm_num

abbrev ObservableIndex (V : Type*) [LinearOrder V] := Fin 2 ⊕ LogicalEdge V

noncomputable def sourceObservable (w w₁ : V → V → ℝ) (K : ℕ) :
    ObservableIndex V → SourceMarked w K → ℝ
  | Sum.inl i => if i=0 then observableA w K else observableD w w₁ K
  | Sum.inr e => observableProbe w w₁ K e

noncomputable def sampleAverage {Ω : Type*} {S : ℕ} (f : Ω → ℝ) (x : Fin S → Ω) : ℝ :=
  (∑ i,f (x i))/(S:ℝ)

noncomputable def sourceMean (w w₁ : V → V → ℝ) (K : ℕ) (j : ObservableIndex V) : ℝ :=
  ∑ x : SourceMarked w K,sourceLaw w K (sourceD (V:=V) K) x*sourceObservable w w₁ K j x

def StageGood {S : ℕ} (w w₁ : V → V → ℝ) (K : ℕ) (σ : ℝ) (x : Fin S → SourceMarked w K) : Prop :=
  ∀ j : ObservableIndex V, |sampleAverage (sourceObservable w w₁ K j) x-sourceMean w w₁ K j| ≤ σ

variable {n K T S : ℕ} [Nontrivial (Fin n)]

noncomputable def empiricalData (c : StageData n K T) (x : Fin S → SourceMarked c.w K)
    (h : StageGood c.w c.next K (RealStage.sigma (sourceD (V:=Fin n) K) T c.epsilon) x) : EmpiricalData c where
  abar := sampleAverage (observableA c.w K) x
  dbar := sampleAverage (observableD c.w c.next K) x
  zbar e := sampleAverage (observableProbe c.w c.next K e) x
  errorA := by simpa only [sourceObservable,ite_true,sourceMean,meanA] using h (Sum.inl 0)
  errorD := by simpa only [sourceObservable,show (1:Fin 2)≠0 by decide,ite_false,sourceMean,meanD] using h (Sum.inl 1)
  errorProbe e := by simpa only [sourceObservable,sourceMean,meanProbe] using h (Sum.inr e)

noncomputable def stageSampleCount (n D T : ℕ) (ε : ℝ) : ℕ :=
  ⌈10*((RealStage.sigma D T ε)⁻¹)^2*((n:ℝ)+T+1)⌉₊



open MatchingFPRAS.Switching MatchingFPRAS.Subdivision MatchingFPRAS.RealGeometry
open MatchingFPRAS.Hierarchy MatchingFPRAS.Transport Finset
open scoped Classical

variable {V : Type*} [Fintype V] [LinearOrder V] [Nontrivial V]

noncomputable local instance instDecidableEqSourceLabel_9 (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _

noncomputable local instance instFintypeBagEdgeSourceVertexSourceLabelSourceBags_10 (w : V → V → ℝ) (K : ℕ) : Fintype (BagEdge (sourceBags w K)) := Fintype.ofFinite _

end MatchingFPRAS.Enlargement

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Sampling_Endpoints
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.GraphBridge

open Finset MatchingFPRAS.Enlargement MatchingFPRAS.Subdivision MatchingFPRAS.Representation MatchingFPRAS.Switching

variable {n : ℕ}

def endpoints : LogicalEdge (Fin n) ↪ (Fin n × Fin n) := ⟨Subtype.val,Subtype.val_injective⟩

def selectedEdges (s : LogicalEdge (Fin n) → Bool) : Finset (Fin n × Fin n) :=
  (univ.filter fun e => s e=true).map endpoints

lemma mem_selected (s : LogicalEdge (Fin n) → Bool) (e : LogicalEdge (Fin n)) :
    e.val ∈ selectedEdges s ↔ s e=true := by simp [selectedEdges,endpoints]

def edgeSelection (M : Finset (Fin n × Fin n)) (e : LogicalEdge (Fin n)) : Bool := decide (e.val∈M)

@[simp] lemma edgeSelection_selected (s : LogicalEdge (Fin n) → Bool) :
    edgeSelection (selectedEdges s)=s := by
  funext e
  apply Bool.eq_iff_iff.mpr
  simp [edgeSelection,mem_selected]

end MatchingFPRAS.GraphBridge

namespace MatchingFPRAS.Counting



def productEstimate {K : ℕ} (initial : ℝ) (estimates : Fin K → ℝ) : ℝ :=
  initial * ∏ j, estimates j



end MatchingFPRAS.Counting

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Probability_AdaptiveLaw
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Adaptive

open Finset

variable {Ω : Type*} [Fintype Ω]

structure Law (Ω : Type*) [Fintype Ω] where
  mass : Ω → ℝ
  nonneg : ∀ x,0 ≤ mass x
  total : ∑ x,mass x=1

instance instCoeFunLawForallReal : CoeFun (Law Ω) (fun _ => Ω → ℝ) := ⟨Law.mass⟩

noncomputable def Law.event (μ : Law Ω) (P : Ω → Prop) : ℝ := by
  classical
  exact ∑ x,if P x then μ x else 0



open Finset
open scoped Classical

variable {Ω : Type*} [Fintype Ω] {Ψ : Ω → Type*} [∀ x,Fintype (Ψ x)]

noncomputable def Law.sigma (μ : Law Ω) (ν : ∀ x,Law (Ψ x)) : Law (Sigma Ψ) where
  mass z := μ z.1*ν z.1 z.2
  nonneg z := mul_nonneg (μ.nonneg z.1) ((ν z.1).nonneg z.2)
  total := by
    rw [Fintype.sum_sigma]
    change (∑ x,∑ y,μ x*(ν x) y)=1
    simp_rw [←mul_sum,Law.total,mul_one]
    exact μ.total



open Finset
open MatchingFPRAS.Enlargement MatchingFPRAS.Transport
open scoped Classical

variable {Ω : Type*} [Fintype Ω]

noncomputable def Law.iid (μ : Law Ω) (S : ℕ) : Law (Fin S → Ω) where
  mass := Variation.iid μ.mass S
  nonneg := Variation.iid_nonneg μ.mass μ.nonneg S
  total := Variation.iid_sum μ.mass μ.total S

end MatchingFPRAS.Adaptive

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Algorithm_RationalScale
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Counting
open Finset

variable {n : ℕ}
lemma ratioEstimate_cast (a d : ℚ) :
    (ratioEstimate a d:ℝ)=RealStage.ratioEstimate a d := by
  simp only [ratioEstimate,RealStage.ratioEstimate]
  have hp : (0:ℝ)<a ↔ (0:ℚ)<a := by exact_mod_cast Iff.rfl
  simp only [hp]
  split_ifs <;> push_cast <;> rfl
end MatchingFPRAS.Counting

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Algorithm_SortedList
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Amplification
open Finset

variable {k : ℕ}

def sortedList (x : Fin (2*k+1) → ℚ) : List ℚ :=
  (List.ofFn x).mergeSort (· ≤ ·)

lemma sortedList_length (x : Fin (2*k+1) → ℚ) : (sortedList x).length=2*k+1 := by
  simp [sortedList]

def sortedValue (x : Fin (2*k+1) → ℚ) (i : Fin (2*k+1)) : ℚ :=
  (sortedList x)[i.val]'(by rw [sortedList_length]; exact i.isLt)

def median (x : Fin (2*k+1) → ℚ) : ℚ := sortedValue x ⟨k,by omega⟩

open Finset MatchingFPRAS.Adaptive MatchingFPRAS.Transport
open scoped Classical

variable {Ω : Type*} [Fintype Ω]

open Finset MatchingFPRAS.Adaptive
open scoped Classical

def halfRepetitions (δ : ℚ) : ℕ := 5*(Nat.clog 2 ⌈δ⁻¹⌉₊+1)
end MatchingFPRAS.Amplification

namespace MatchingFPRAS.Counting
instance scheduleDecidable (n : ℕ) (epsilon : ℚ) (k : ℕ) : Decidable (scheduleAdmissible n epsilon k) :=
  inferInstanceAs (Decidable (1≤k ∧ (n:ℚ)^(n/2)/(1+1/(n:ℚ))^k≤epsilon/32))
lemma schedule_exists (n : ℕ) (hn : 2≤n) (e : ℚ) (he : 0<e) (he1 : e<1) :
    ∃ k,scheduleAdmissible n e k := by
  obtain ⟨k,hk,_⟩:=counting_schedule_exists n hn e he he1
  exact ⟨k,hk⟩
def leastSchedule (n : ℕ) (hn : 2≤n) (e : ℚ) (he : 0<e) (he1 : e<1) : ℕ :=
  Nat.find (schedule_exists n hn e he he1)
lemma leastSchedule_spec (n : ℕ) (hn : 2≤n) (e : ℚ) (he : 0<e) (he1 : e<1) :
    scheduleAdmissible n e (leastSchedule n hn e he he1) := Nat.find_spec _
end MatchingFPRAS.Counting

namespace MatchingFPRAS.BitArithmetic
open Finset

def FractionBound (B : ℕ) (x : ℝ) : Prop :=
  ∃ a b : ℕ,0<b ∧ a≤B ∧ b≤B ∧ x=(a:ℝ)/b
end MatchingFPRAS.BitArithmetic

namespace MatchingFPRAS.BitArithmetic
open Finset

def GridFraction (Q : ℕ) (x : ℝ) : Prop := ∃ a : ℕ,a≤Q ∧ x=(a:ℝ)/Q
end MatchingFPRAS.BitArithmetic

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Algorithm_EmpiricalDenom
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.BitArithmetic
open Finset

def matrixBound (D B : ℕ) : ℕ := 200000*(D+1)*B^2
end MatchingFPRAS.BitArithmetic

namespace MatchingFPRAS.Counting

def schedulePolynomial (n : ℕ) (e : ℚ) : ℕ := n*(n*n+32*⌈e⁻¹⌉₊)
end MatchingFPRAS.Counting

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Algorithm_OutputLengthBound
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.BitComplexity

def PolynomiallyBounded (f : ℕ → ℕ) : Prop := ∃ C d : ℕ, ∀ x,1≤x → f x≤C*x^d
def boundK (x : ℕ) : ℕ := (2*x)*((2*x)*(2*x)+32*x)
def boundN (x : ℕ) : ℕ := 2*x+(2*x)^2*(4*(2*boundK x+2))
def boundD (x : ℕ) : ℕ := 100*(boundN x)^2*(100000000*(2*x+1)^4)
def boundS (x : ℕ) : ℕ := 10*(10000000*boundD x+1000*boundK x*x)^2*(2*x+boundK x+1)
open Transport

end MatchingFPRAS.BitComplexity

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Algorithm_Guard
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.Enlargement
open Finset Switching Subdivision RealGeometry MatchingFPRAS.Representation

open Transport
open scoped Classical

variable {V : Type*} [Fintype V] [LinearOrder V] [Nontrivial V]
noncomputable local instance instDecidableEqSourceLabel_11 (w : V → V → ℝ) (K : ℕ) : DecidableEq (SourceLabel w K) := Classical.decEq _
noncomputable local instance instFintypeBagEdgeSourceVertexSourceLabelSourceBags_12 (w : V → V → ℝ) (K : ℕ) : Fintype (BagEdge (sourceBags w K)) := Fintype.ofFinite _

end MatchingFPRAS.Enlargement

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Complexity_GuardMachineBase
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.MachineCost
open Turing

def advance {α : Type*} (f : α → Option α) (x : α) : α := (f x).getD x
def run {α : Type*} (f : α → Option α) : ℕ → α → α
  | 0,x => x
  | n+1,x => run f n (advance f x)

lemma run_add {α : Type*} (f : α → Option α) (n m : ℕ) (x : α) :
    run f (n+m) x=run f m (run f n x) := by
  induction n generalizing x with
  | zero => simp only [Nat.zero_add,run]
  | succ n ih => simpa only [Nat.succ_add,run] using ih (advance f x)

end MatchingFPRAS.MachineCost

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_BinaryAddition
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.StackAddition
open Turing MachineCost

abbrev Stacks := Fin 3 → List Bool
abbrev Store := Option Bool × Option Bool
def value : List Bool → ℕ
  | [] => 0
  | b::bs => b.toNat+2*value bs
def digit (c a b : Bool) : Bool := xor (xor c a) b
def carry (c a b : Bool) : Bool := (c && a) || (c && b) || (a && b)
lemma digit_identity (c a b : Bool) :
    (digit c a b).toNat+2*(carry c a b).toNat=c.toNat+a.toNat+b.toNat := by
  cases c <;> cases a <;> cases b <;> rfl

def addDigits (c : Bool) (A B : List Bool) : List Bool :=
  match A,B with
  | [],[] => if c then [true] else []
  | a::A,[] => digit c a false::addDigits (carry c a false) A []
  | [],b::B => digit c false b::addDigits (carry c false b) [] B
  | a::A,b::B => digit c a b::addDigits (carry c a b) A B
termination_by A.length+B.length

lemma addDigits_value (A B : List Bool) (c : Bool) :
    value (addDigits c A B)=value A+value B+c.toNat := by
  induction A generalizing B c with
  | nil =>
    induction B generalizing c with
    | nil => cases c <;> simp [addDigits,value]
    | cons b B ih =>
      rw [addDigits]
      simp only [value]
      rw [ih]
      have h:=digit_identity c false b
      simp only [Bool.toNat_false,Nat.add_zero] at h
      simp only [value]
      omega
  | cons a A ih =>
    cases B with
    | nil =>
      rw [addDigits]
      simp only [value]
      rw [ih]
      have h:=digit_identity c a false
      simp only [Bool.toNat_false,Nat.add_zero] at h
      simp only [value]
      omega
    | cons b B =>
      rw [addDigits]
      simp only [value]
      rw [ih]
      have h:=digit_identity c a b
      omega
lemma addDigits_length (A B : List Bool) (c : Bool) :
    (addDigits c A B).length ≤ max A.length B.length+1 := by
  induction A generalizing B c with
  | nil =>
    induction B generalizing c with
    | nil => cases c <;> simp [addDigits]
    | cons b B ih =>
      rw [addDigits,List.length_cons]
      have h:=ih (carry c false b)
      simp only [List.length_nil,Nat.zero_max,List.length_cons] at h ⊢
      omega
  | cons a A ih =>
    cases B with
    | nil =>
      rw [addDigits,List.length_cons]
      have h:=ih [] (carry c a false)
      simp only [List.length_nil,Nat.max_zero,List.length_cons] at h ⊢
      omega
    | cons b B =>
      rw [addDigits,List.length_cons]
      have h:=ih B (carry c a b)
      simp only [List.length_cons]
      omega

def program (c : Bool) : TM2.Stmt (fun _ : Fin 3=>Bool) Bool Store :=
  .pop 0 (fun v a=>(a,v.2)) (.pop 1 (fun v b=>(v.1,b))
    (.branch (fun v=>v.1.isNone && v.2.isNone)
      (.branch (fun _=>c) (.push 2 (fun _=>true) (.load (fun _=>default) .halt))
        (.load (fun _=>default) .halt))
      (.push 2 (fun v=>digit c (v.1.getD false) (v.2.getD false))
        (.goto (fun v=>carry c (v.1.getD false) (v.2.getD false))))))
def stackData (A B L : List Bool) : Stacks := ![A,B,L]
@[simp] lemma stackData_zero (A B L : List Bool) : stackData A B L 0=A := rfl
@[simp] lemma stackData_one (A B L : List Bool) : stackData A B L 1=B := rfl
@[simp] lemma stackData_two (A B L : List Bool) : stackData A B L 2=L := rfl
def cfg (c : Option Bool) (A B L : List Bool) (v : Store) :
    TM2.Cfg (fun _ : Fin 3=>Bool) Bool Store := ⟨c,v,stackData A B L⟩
lemma update_zero (A B L X : List Bool) :
    Function.update (stackData A B L) 0 X=stackData X B L := by
  funext i
  fin_cases i <;> simp [stackData]
lemma update_one (A B L X : List Bool) :
    Function.update (stackData A B L) 1 X=stackData A X L := by
  funext i
  fin_cases i <;> simp [stackData]
lemma update_two (A B L X : List Bool) :
    Function.update (stackData A B L) 2 X=stackData A B X := by
  funext i
  fin_cases i <;> simp [stackData]
lemma step_empty (c : Bool) (L : List Bool) (v : Store) :
    advance (TM2.step program) (cfg (some c) [] [] L v)=
      cfg none [] [] ((addDigits c [] []).reverse++L) default := by
  cases c <;> simp [advance,TM2.step,program,TM2.stepAux,cfg,
    update_zero,update_one,update_two,addDigits]
lemma step_digits (c : Bool) (A B L : List Bool) (v : Store)
    (h : A≠[] ∨ B≠[]) :
    advance (TM2.step program) (cfg (some c) A B L v)=
      cfg (some (carry c (A.headD false) (B.headD false))) A.tail B.tail
        (digit c (A.headD false) (B.headD false)::L) (A.head?,B.head?) := by
  cases A <;> cases B <;> simp_all [advance,TM2.step,program,TM2.stepAux,cfg,
    update_zero,update_one,update_two]
lemma addDigits_step (c : Bool) (A B : List Bool) (h : A ≠ [] ∨ B ≠ []) :
    addDigits c A B=digit c (A.headD false) (B.headD false)::
      addDigits (carry c (A.headD false) (B.headD false)) A.tail B.tail := by
  cases A <;> cases B <;> simp_all [addDigits]

theorem run_addition (A B L : List Bool) (c : Bool) (v : Store) :
    ∃ t ≤ A.length+B.length+1,
      MachineCost.run (TM2.step program) t (cfg (some c) A B L v)=
        cfg none [] [] ((addDigits c A B).reverse++L) default := by
  have aux : ∀ n (A B : List Bool), A.length+B.length=n →
      ∀ (c : Bool) (L : List Bool) (v : Store),
      ∃ t ≤ A.length+B.length+1,
        MachineCost.run (TM2.step program) t (cfg (some c) A B L v)=
          cfg none [] [] ((addDigits c A B).reverse++L) default := by
    intro n
    induction n using Nat.strong_induction_on with
    | h n ih =>
      intro A B hn c L v
      by_cases he : A=[] ∧ B=[]
      · rcases he with ⟨rfl,rfl⟩
        exact ⟨1,by simp,step_empty c L v⟩
      · have hne : A≠[] ∨ B≠[] := by tauto
        have hlt : A.tail.length+B.tail.length<n := by
          cases A <;> cases B <;> simp_all
          all_goals omega
        obtain ⟨t,ht,hr⟩:=ih _ hlt A.tail B.tail rfl
          (carry c (A.headD false) (B.headD false))
          (digit c (A.headD false) (B.headD false)::L) (A.head?,B.head?)
        refine ⟨t+1,by omega,?_⟩
        rw [MachineCost.run,step_digits c A B L v hne,hr,addDigits_step c A B hne]
        simp only [List.reverse_cons,List.append_assoc,List.singleton_append]
  exact aux _ A B rfl c L v
lemma value_bits (n : ℕ) : value n.bits=n := by
  induction n using Nat.binaryRec' with
  | zero => rfl
  | bit b n h ih =>
    rw [Nat.bits_append_bit n b h]
    simp only [value,ih]
    cases b <;> simp [Nat.bit,Bool.toNat]
    omega

lemma addition_numerals (m n : ℕ) : value (addDigits false m.bits n.bits)=m+n := by
  simp only [addDigits_value,value_bits,Bool.toNat_false,Nat.add_zero]
end MatchingFPRAS.StackAddition

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_BoolPostCompiler
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.BoolPostCompiler
open Turing MachineCost
open scoped Classical

def up : PointedMap Bool Symbol := ⟨fun b=>if b then 1 else 0,rfl⟩
def down : PointedMap Symbol Bool := ⟨fun a=>decide (a=1),rfl⟩
end MatchingFPRAS.BoolPostCompiler

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Complexity_AlphabetCompilerCost
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.AlphabetCost
open Turing Turing.TM1 Turing.TM1to1 MachineCost

variable {Γ Λ σ : Type*} [Inhabited Γ]

def writesCount : TM1.Stmt Γ Λ σ → ℕ
  | .move _ q => writesCount q
  | .write _ q => writesCount q+1
  | .load _ q => writesCount q
  | .branch _ q r => max (writesCount q) (writesCount r)
  | .goto _ => 0
  | .halt => 0
end MatchingFPRAS.AlphabetCost

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_SupportedCompiler
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.AlphabetCost
open Turing MachineCost
open scoped Classical

variable {Γ Λ σ : Type*} [Inhabited Γ] [Inhabited Λ] [Inhabited σ]
variable {n : ℕ} (enc : Γ → List.Vector Bool n) (dec : List.Vector Bool n → Γ)
  (enc0 : enc default = List.Vector.replicate n false)
  (encdec : ∀ a,dec (enc a)=a) (M : Λ → TM1.Stmt Γ Λ σ)
  (S : Finset Λ) (hS : TM1.Supports M S)
include encdec hS
noncomputable def supportedWrites : ℕ := S.sup (fun l=>writesCount (M l))
end MatchingFPRAS.AlphabetCost

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_BinaryCompare
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.StackCompare
open Turing MachineCost StackAddition

def updateOrder (c : Ordering) (a b : Bool) : Ordering :=
  if a=b then c else if a then .gt else .lt

def compareDigits (c : Ordering) (A B : List Bool) : Ordering :=
  match A,B with
  | [],[] => c
  | a::A,[] => compareDigits (updateOrder c a false) A []
  | [],b::B => compareDigits (updateOrder c false b) [] B
  | a::A,b::B => compareDigits (updateOrder c a b) A B
termination_by A.length+B.length

def result (c : Ordering) (m n : ℕ) : Ordering := if m=n then c else compare m n
lemma result_digits (c : Ordering) (a b : Bool) (m n : ℕ) :
    result (updateOrder c a b) m n=result c (a.toNat+2*m) (b.toNat+2*n) := by
  rcases lt_trichotomy m n with h|h|h
  · have hb : a.toNat+2*m < b.toNat+2*n := by
      cases a <;> cases b <;> simp only [Bool.toNat_true,Bool.toNat_false] <;> omega
    simp [result,ne_of_lt h,ne_of_lt hb,compare_lt_iff_lt.mpr h,compare_lt_iff_lt.mpr hb]
  · subst n
    cases a <;> cases b <;> cases c <;>
      simp [result,updateOrder,eq_comm]
    all_goals first
    | exact (compare_lt_iff_lt.mpr (by omega)).symm
    | exact (compare_gt_iff_gt.mpr (by omega)).symm
  · have hb : b.toNat+2*n < a.toNat+2*m := by
      cases a <;> cases b <;> simp only [Bool.toNat_true,Bool.toNat_false] <;> omega
    simp [result,ne_of_gt h,ne_of_gt hb,compare_gt_iff_gt.mpr h,compare_gt_iff_gt.mpr hb]
lemma compareDigits_result (A B : List Bool) (c : Ordering) :
    compareDigits c A B=result c (value A) (value B) := by
  induction A generalizing B c with
  | nil =>
    induction B generalizing c with
    | nil => simp [compareDigits,result,value]
    | cons b B ih =>
      rw [compareDigits,ih]
      simpa only [value,Bool.toNat_false,Nat.zero_add,Nat.mul_zero] using result_digits c false b 0 (value B)
  | cons a A ih =>
    cases B with
    | nil =>
      rw [compareDigits,ih]
      simpa only [value,Bool.toNat_false,Nat.zero_add,Nat.mul_zero,Nat.add_zero] using result_digits c a false (value A) 0
    | cons b B =>
      rw [compareDigits,ih]
      exact result_digits c a b (value A) (value B)
lemma compares_values (A B : List Bool) :
    compareDigits .eq A B=compare (value A) (value B) := by
  rw [compareDigits_result]
  unfold result
  split_ifs with h
  · simp [h]
  · rfl
def flags (c : Ordering) : List Bool := [decide (c=.lt),decide (c=.gt)]
def program (c : Ordering) : TM2.Stmt (fun _ : Fin 3=>Bool) Ordering Store :=
  .pop 0 (fun v a=>(a,v.2)) (.pop 1 (fun v b=>(v.1,b))
    (.branch (fun v=>v.1.isNone && v.2.isNone)
      (.push 2 (fun _=>decide (c=.gt)) (.push 2 (fun _=>decide (c=.lt))
         (.load (fun _=>default) .halt)))
      (.goto (fun v=>updateOrder c (v.1.getD false) (v.2.getD false)))))
def cfg (c : Option Ordering) (A B L : List Bool) (v : Store) :
    TM2.Cfg (fun _ : Fin 3=>Bool) Ordering Store := ⟨c,v,stackData A B L⟩
lemma step_empty (c : Ordering) (L : List Bool) (v : Store) :
    advance (TM2.step program) (cfg (some c) [] [] L v)=
      cfg none [] [] (flags c++L) default := by
  cases c <;> simp [advance,TM2.step,program,TM2.stepAux,cfg,flags,
    update_zero,update_one,update_two]
lemma step_digits (c : Ordering) (A B L : List Bool) (v : Store)
    (h : A≠[] ∨ B≠[]) :
    advance (TM2.step program) (cfg (some c) A B L v)=
      cfg (some (updateOrder c (A.headD false) (B.headD false))) A.tail B.tail L (A.head?,B.head?) := by
  cases A <;> cases B <;> simp_all [advance,TM2.step,program,TM2.stepAux,cfg,
    update_zero,update_one,update_two,List.headD]
lemma compareDigits_step (c : Ordering) (A B : List Bool) (h : A ≠ [] ∨ B ≠ []) :
    compareDigits c A B=
      compareDigits (updateOrder c (A.headD false) (B.headD false)) A.tail B.tail := by
  cases A <;> cases B <;> simp_all [compareDigits,List.headD]
theorem run_comparison (A B L : List Bool) (c : Ordering) (v : Store) :
    ∃ t ≤ A.length+B.length+1,
      MachineCost.run (TM2.step program) t (cfg (some c) A B L v)=
        cfg none [] [] (flags (compareDigits c A B)++L) default := by
  have aux : ∀ n (A B : List Bool), A.length+B.length=n →
      ∀ (c : Ordering) (L : List Bool) (v : Store),
      ∃ t ≤ A.length+B.length+1,
        MachineCost.run (TM2.step program) t (cfg (some c) A B L v)=
          cfg none [] [] (flags (compareDigits c A B)++L) default := by
    intro n
    induction n using Nat.strong_induction_on with
    | h n ih =>
      intro A B hn c L v
      by_cases he : A=[] ∧ B=[]
      · rcases he with ⟨rfl,rfl⟩
        refine ⟨1,by simp,?_⟩
        simpa only [MachineCost.run,compareDigits] using step_empty c L v
      · have hne : A≠[] ∨ B≠[] := by tauto
        have hlt : A.tail.length+B.tail.length<n := by
          cases A <;> cases B <;> simp_all
          all_goals omega
        obtain ⟨t,ht,hr⟩:=ih _ hlt A.tail B.tail rfl
          (updateOrder c (A.headD false) (B.headD false)) L (A.head?,B.head?)
        refine ⟨t+1,by omega,?_⟩
        rw [MachineCost.run,step_digits c A B L v hne,hr,compareDigits_step c A B hne]
  exact aux _ A B rfl c L v
end MatchingFPRAS.StackCompare

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_ArithmeticSize
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.StackComposition
open Turing MachineCost

variable {K Λ P σ : Type*} {Γ : K → Type*} [DecidableEq K]
def relabel (f : Λ → P) (h : Option P) : TM2.Stmt Γ Λ σ → TM2.Stmt Γ P σ
  | .push k a q => .push k a (relabel f h q)
  | .peek k a q => .peek k a (relabel f h q)
  | .pop k a q => .pop k a (relabel f h q)
  | .load a q => .load a (relabel f h q)
  | .branch p q r => .branch p (relabel f h q) (relabel f h r)
  | .goto l => .goto (fun a=>f (l a))
  | .halt => match h with | none=>.halt | some k=>.goto (fun _=>k)
def mapCfg (f : Λ → P) (h : Option P) (c : TM2.Cfg Γ Λ σ) : TM2.Cfg Γ P σ :=
  ⟨c.l.bind (fun l=>some (f l)) |>.or h,c.var,c.stk⟩
omit [DecidableEq K] in
lemma mapCfg_some (f : Λ → P) (h : Option P) (l : Λ) (v : σ) (S : ∀ k,List (Γ k)) :
    mapCfg f h ⟨some l,v,S⟩=⟨some (f l),v,S⟩ := rfl
lemma relabel_eval (f : Λ → P) (h : Option P) (q : TM2.Stmt Γ Λ σ)
    (v : σ) (S : ∀ k,List (Γ k)) :
    TM2.stepAux (relabel f h q) v S=mapCfg f h (TM2.stepAux q v S) := by
  induction q generalizing v S with
  | push k a q ih => exact ih v _
  | peek k a q ih => exact ih _ S
  | pop k a q ih => exact ih _ _
  | load a q ih => exact ih (a v) S
  | branch p q r ihq ihr =>
    cases hp:p v <;> simp only [relabel,TM2.stepAux,hp,Bool.cond_false,Bool.cond_true] <;>
      first | apply ihr | apply ihq
  | goto l => rfl
  | halt => cases h <;> rfl
lemma run_halted (M : Λ → TM2.Stmt Γ Λ σ) (n : ℕ)
    (v : σ) (S : ∀ k,List (Γ k)) :
    MachineCost.run (TM2.step M) n ⟨none,v,S⟩=⟨none,v,S⟩ := by
  induction n with
  | zero => rfl
  | succ n ih => simpa only [MachineCost.run,advance,TM2.step,Option.getD_none] using ih
lemma run_relabel_to_halt (M : Λ → TM2.Stmt Γ Λ σ) (N : P → TM2.Stmt Γ P σ)
    (f : Λ → P) (h : Option P) (hN : ∀ l,N (f l)=relabel f h (M l))
    (n : ℕ) (c : TM2.Cfg Γ Λ σ) (v : σ) (S : ∀ k,List (Γ k))
    (he : MachineCost.run (TM2.step M) n c=⟨none,v,S⟩) :
    ∃ k≤n,MachineCost.run (TM2.step N) k (mapCfg f h c)=⟨h,v,S⟩ := by
  induction n generalizing c with
  | zero =>
    have hc : c=⟨none,v,S⟩:=he
    subst c
    exact ⟨0,le_rfl,rfl⟩
  | succ n ih =>
    rcases c with ⟨l,v',S'⟩
    cases l with
    | none =>
      rw [run_halted] at he
      cases he
      exact ⟨0,Nat.zero_le _,rfl⟩
    | some l =>
      have he' : MachineCost.run (TM2.step M) n (TM2.stepAux (M l) v' S')=⟨none,v,S⟩ := he
      obtain ⟨k,hk,hh⟩:=ih _ he'
      refine ⟨k+1,by omega,?_⟩
      rw [MachineCost.run,mapCfg_some]
      have hs : advance (TM2.step N) ⟨some (f l),v',S'⟩=
          mapCfg f h (TM2.stepAux (M l) v' S') := by
        simp only [advance,TM2.step,Option.getD_some,hN,relabel_eval]
      rw [hs,hh]
variable [Inhabited Λ] [Inhabited P]
def sequence (M : Λ → TM2.Stmt Γ Λ σ) (N : P → TM2.Stmt Γ P σ) :
    Λ⊕P → TM2.Stmt Γ (Λ⊕P) σ
  | .inl l => relabel Sum.inl (some (Sum.inr default)) (M l)
  | .inr k => relabel Sum.inr none (N k)
omit [Inhabited Λ] in
lemma sequence_run (M : Λ → TM2.Stmt Γ Λ σ) (N : P → TM2.Stmt Γ P σ)
    (c : TM2.Cfg Γ Λ σ) (m n : ℕ) (v v' : σ) (S S' : ∀ k,List (Γ k))
    (hM : MachineCost.run (TM2.step M) m c=⟨none,v,S⟩)
    (hN : MachineCost.run (TM2.step N) n ⟨some default,v,S⟩=⟨none,v',S'⟩) :
    ∃ k ≤ m+n,MachineCost.run (TM2.step (sequence M N)) k
      (mapCfg Sum.inl (some (Sum.inr default)) c)=⟨none,v',S'⟩ := by
  obtain ⟨i,hi,hei⟩:=run_relabel_to_halt M (sequence M N) Sum.inl
    (some (Sum.inr default)) (fun _=>rfl) m c v S hM
  obtain ⟨j,hj,hej⟩:=run_relabel_to_halt N (sequence M N) Sum.inr
    none (fun _=>rfl) n ⟨some default,v,S⟩ v' S' hN
  refine ⟨i+j,by omega,?_⟩
  rw [run_add,hei]
  exact hej

open Turing MachineCost

end MatchingFPRAS.StackComposition

namespace MatchingFPRAS.StackReverse
open Turing MachineCost StackAddition

abbrev S := Option Bool
abbrev Γ := fun _ : Fin 3 => Bool
def program : Unit → TM2.Stmt Γ Unit S := fun _ =>
  .pop 0 (fun _ a=>a)
    (.branch Option.isNone (.load (fun _=>none) .halt)
      (.push 1 (fun v=>v.getD false) (.goto (fun _=>()))))
def cfg (l : Option Unit) (A B C : List Bool) (v : S) : TM2.Cfg Γ Unit S :=
  ⟨l,v,stackData A B C⟩
lemma next_empty (B C : List Bool) (v : S) :
    advance (TM2.step program) (cfg (some ()) [] B C v)=cfg none [] B C none := by
  simp [advance,TM2.step,program,TM2.stepAux,cfg,update_zero]
lemma next_cons (a : Bool) (A B C : List Bool) (v : S) :
    advance (TM2.step program) (cfg (some ()) (a::A) B C v)=
      cfg (some ()) A (a::B) C (some a) := by
  simp [advance,TM2.step,program,TM2.stepAux,cfg,update_zero,update_one]
theorem run_reverse (A B C : List Bool) (v : S) :
    MachineCost.run (TM2.step program) (A.length+1) (cfg (some ()) A B C v)=
      cfg none [] (A.reverse++B) C none := by
  induction A generalizing B v with
  | nil => simpa only [List.length_nil,List.reverse_nil,List.nil_append,MachineCost.run] using next_empty B C v
  | cons a A ih =>
    rw [List.length_cons,show A.length+1+1=(A.length+1)+1 by rfl,MachineCost.run,next_cons,ih]
    simp [List.reverse_cons,List.append_assoc]
end MatchingFPRAS.StackReverse

namespace MatchingFPRAS.ForwardAddition
open Turing MachineCost StackAddition

local instance initialControl : Inhabited (Bool⊕Unit) := ⟨.inl false⟩
abbrev Γ := fun _ : Fin 3 => Bool
def reverseProgram : Unit → TM2.Stmt Γ Unit Store := fun _ =>
  .pop 2 (fun v a=>(a,v.2))
    (.branch (fun v=>v.1.isNone) (.load (fun _=>default) .halt)
      (.push 0 (fun v=>v.1.getD false) (.goto (fun _=>()))))
def rcfg (l : Option Unit) (A B C : List Bool) (v : Store) : TM2.Cfg Γ Unit Store :=
  ⟨l,v,stackData A B C⟩
lemma next_empty (A B : List Bool) (v : Store) :
    advance (TM2.step reverseProgram) (rcfg (some ()) A B [] v)=rcfg none A B [] default := by
  simp [advance,TM2.step,reverseProgram,TM2.stepAux,rcfg,update_two]
lemma next_cons (a : Bool) (A B C : List Bool) (v : Store) :
    advance (TM2.step reverseProgram) (rcfg (some ()) A B (a::C) v)=
      rcfg (some ()) (a::A) B C (some a,v.2) := by
  simp [advance,TM2.step,reverseProgram,TM2.stepAux,rcfg,update_zero,update_two]
lemma run_reverse (A B C : List Bool) (v : Store) :
    MachineCost.run (TM2.step reverseProgram) (C.length+1) (rcfg (some ()) A B C v)=
      rcfg none (C.reverse++A) B [] default := by
  induction C generalizing A v with
  | nil => simpa only [List.length_nil,List.reverse_nil,List.nil_append,MachineCost.run] using next_empty A B v
  | cons c C ih =>
    rw [List.length_cons,MachineCost.run,next_cons,ih]
    simp [List.reverse_cons,List.append_assoc]
def program : Bool⊕Unit → TM2.Stmt Γ (Bool⊕Unit) Store :=
  StackComposition.sequence StackAddition.program reverseProgram
lemma run_add (A B : List Bool) :
    ∃ k≤2*(A.length+B.length)+3,
      MachineCost.run (TM2.step program) k ⟨some default,default,stackData A B []⟩=
        ⟨none,default,stackData (addDigits false A B) [] []⟩ := by
  obtain ⟨n,hn,he⟩:=run_addition A B [] false default
  have he' : MachineCost.run (TM2.step StackAddition.program) n
      (cfg (some false) A B [] default)=cfg none [] [] (addDigits false A B).reverse default := by
    simpa only [List.append_nil] using he
  have hr := run_reverse [] [] (addDigits false A B).reverse default
  have hr' : MachineCost.run (TM2.step reverseProgram) ((addDigits false A B).length+1)
      ⟨some default,default,stackData [] [] (addDigits false A B).reverse⟩=
      ⟨none,default,stackData (addDigits false A B) [] []⟩ := by
    simpa only [rcfg,List.length_reverse,List.reverse_reverse,List.append_nil] using hr
  obtain ⟨k,hk,hkrun⟩:=StackComposition.sequence_run StackAddition.program reverseProgram
    (cfg (some false) A B [] default) n ((addDigits false A B).length+1)
    (default : Store) (default : Store) (stackData [] [] (addDigits false A B).reverse)
      (stackData (addDigits false A B) [] []) he' hr'
  refine ⟨k,?_,?_⟩
  · have hl:=addDigits_length A B false
    omega
  · exact hkrun
end MatchingFPRAS.ForwardAddition

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Tapes_StackEmbedding
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.StackEmbedding
open Turing MachineCost

variable {K J α Λ σ τ : Type*} [DecidableEq K] [DecidableEq J]
open scoped Classical

noncomputable def extend (e : K ↪ J) (S : K → List α) (R : J → List α) (j : J) : List α :=
  if h : ∃ k,e k=j then S (Classical.choose h) else R j
omit [DecidableEq K] [DecidableEq J] in
@[simp] lemma extend_on (e : K ↪ J) (S : K → List α) (R : J → List α) (k : K) :
    extend e S R (e k)=S k := by
  have h : ∃ l,e l=e k := ⟨k,rfl⟩
  rw [extend,dite_eq_left h,e.injective (Classical.choose_spec h)]
omit [DecidableEq K] [DecidableEq J] in
lemma extend_off (e : K ↪ J) (S : K → List α) (R : J → List α) (j : J)
    (h : ¬∃ k,e k=j) : extend e S R j=R j := by rw [extend,dite_eq_right h]
lemma extend_update (e : K ↪ J) (S : K → List α) (R : J → List α) (k : K) (w : List α) :
    Function.update (extend e S R) (e k) w=extend e (Function.update S k w) R := by
  funext j
  by_cases h : ∃ l,e l=j
  · obtain ⟨l,rfl⟩:=h
    by_cases hl : l=k
    · subst l; simp
    · have hne : e l≠e k := fun h=>hl (e.injective h)
      simp [Function.update_of_ne hne,Function.update_of_ne hl]
  · have hne : j≠e k := fun h'=>h ⟨k,h'.symm⟩
    rw [Function.update_of_ne hne,extend_off e _ _ j h,extend_off e _ _ j h]

end MatchingFPRAS.StackEmbedding

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Tapes_StackLens
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.StackLens
open Turing MachineCost StackEmbedding

structure Lens (σ τ : Type*) where
  get : τ → σ
  put : τ → σ → τ
  get_put : ∀ v s,get (put v s)=s
  put_get : ∀ v,put v (get v)=v
  put_put : ∀ v s t,put (put v s) t=put v t

def Lens.identity (σ : Type*) : Lens σ σ :=
  ⟨id,fun _ s=>s,fun _ _=>rfl,fun _=>rfl,fun _ _ _=>rfl⟩
variable {K J α Λ σ τ : Type*} [DecidableEq K] [DecidableEq J]

def stmt (e : K ↪ J) (L : Lens σ τ) :
    TM2.Stmt (fun _ : K=>α) Λ σ → TM2.Stmt (fun _ : J=>α) Λ τ
  | .push k a q => .push (e k) (fun v=>a (L.get v)) (stmt e L q)
  | .peek k a q => .peek (e k) (fun v x=>L.put v (a (L.get v) x)) (stmt e L q)
  | .pop k a q => .pop (e k) (fun v x=>L.put v (a (L.get v) x)) (stmt e L q)
  | .load a q => .load (fun v=>L.put v (a (L.get v))) (stmt e L q)
  | .branch p q r => .branch (fun v=>p (L.get v)) (stmt e L q) (stmt e L r)
  | .goto l => .goto (fun v=>l (L.get v))
  | .halt => .halt
noncomputable def cfg (e : K ↪ J) (L : Lens σ τ) (R : J → List α) (u : τ)
    (c : TM2.Cfg (fun _ : K=>α) Λ σ) : TM2.Cfg (fun _ : J=>α) Λ τ :=
  ⟨c.l,L.put u c.var,extend e c.stk R⟩
lemma stmt_eval (e : K ↪ J) (L : Lens σ τ) (R : J → List α) (u : τ)
    (q : TM2.Stmt (fun _ : K=>α) Λ σ) (v : σ) (S : K → List α) :
    TM2.stepAux (stmt e L q) (L.put u v) (extend e S R)=
      cfg e L R u (TM2.stepAux q v S) := by
  induction q generalizing v S with
  | push k a q ih =>
    simpa only [stmt,TM2.stepAux,L.get_put,extend_on,extend_update] using ih v (Function.update S k (a v::S k))
  | peek k a q ih =>
    simpa only [stmt,TM2.stepAux,L.get_put,L.put_put,extend_on] using ih (a v (S k).head?) S
  | pop k a q ih =>
    simpa only [stmt,TM2.stepAux,L.get_put,L.put_put,extend_on,extend_update] using ih (a v (S k).head?) (Function.update S k (S k).tail)
  | load a q ih => simpa only [stmt,TM2.stepAux,L.get_put,L.put_put] using ih (a v) S
  | branch p q r ihq ihr =>
    cases h : p v <;> simp only [stmt,TM2.stepAux,L.get_put,h,Bool.cond_false,Bool.cond_true] <;>
      first | apply ihr | apply ihq
  | goto l => simp only [stmt,TM2.stepAux,cfg,L.get_put]
  | halt => rfl
def program (e : K ↪ J) (L : Lens σ τ) (M : Λ → TM2.Stmt (fun _ : K=>α) Λ σ) :=
  fun l=>stmt e L (M l)
lemma advance_cfg (e : K ↪ J) (L : Lens σ τ) (M : Λ → TM2.Stmt (fun _ : K=>α) Λ σ)
    (R : J → List α) (u : τ) (c : TM2.Cfg (fun _ : K=>α) Λ σ) :
    advance (TM2.step (program e L M)) (cfg e L R u c)=cfg e L R u (advance (TM2.step M) c) := by
  rcases c with ⟨l,v,S⟩
  cases l with
  | none => rfl
  | some l => exact stmt_eval e L R u (M l) v S

theorem run_cfg (e : K ↪ J) (L : Lens σ τ) (M : Λ → TM2.Stmt (fun _ : K=>α) Λ σ)
    (R : J → List α) (u : τ) (n : ℕ) (c : TM2.Cfg (fun _ : K=>α) Λ σ) :
    MachineCost.run (TM2.step (program e L M)) n (cfg e L R u c)=
      cfg e L R u (MachineCost.run (TM2.step M) n c) := by
  induction n generalizing c with
  | zero => rfl
  | succ n ih => rw [MachineCost.run,advance_cfg,ih,MachineCost.run]
end MatchingFPRAS.StackLens

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_TreeTransfer
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeData
inductive Data where
  | nil
  | cons (head tail : Data)
  deriving DecidableEq, Inhabited
open Data

def encode : Data → List Bool
  | .nil => [false]
  | .cons a b => true::(encode a++encode b)
end MatchingFPRAS.TreeData

namespace MatchingFPRAS.TreeTransfer
open Turing MachineCost TreeData

abbrev Store := Option Bool
abbrev Stacks := Fin 3 → List Bool
def program : Unit → TM2.Stmt (fun _ : Fin 3=>Bool) Unit Store := fun _=>
  .peek 2 (fun _ b=>b) (.branch Option.isNone (.load (fun _=>none) .halt)
    (.pop 2 (fun v _=>v) (.pop 0 (fun _ b=>b)
      (.push 1 (fun v=>v.getD false) (.branch (fun v=>v.getD false)
        (.push 2 (fun _=>false) (.push 2 (fun _=>false) (.goto (fun _=>()))))
        (.goto (fun _=>())))))))
def stackData (A B D : List Bool) : Stacks := ![A,B,D]
def cfg (l : Option Unit) (A B D : List Bool) (v : Store) :
    TM2.Cfg (fun _ : Fin 3=>Bool) Unit Store := ⟨l,v,stackData A B D⟩
@[simp] lemma stacks_zero (A B D : List Bool) : stackData A B D 0=A := rfl
@[simp] lemma stacks_one (A B D : List Bool) : stackData A B D 1=B := rfl
@[simp] lemma stacks_two (A B D : List Bool) : stackData A B D 2=D := rfl
lemma update_zero (A B D X : List Bool) : Function.update (stackData A B D) 0 X=stackData X B D := by
  funext i; fin_cases i <;> simp [stackData]
lemma update_one (A B D X : List Bool) : Function.update (stackData A B D) 1 X=stackData A X D := by
  funext i; fin_cases i <;> simp [stackData]
lemma update_two (A B D X : List Bool) : Function.update (stackData A B D) 2 X=stackData A B X := by
  funext i; fin_cases i <;> simp [stackData]
lemma step_nil (A B D : List Bool) (v : Store) :
    advance (TM2.step program) (cfg (some ()) (false::A) B (false::D) v)=
      cfg (some ()) A (false::B) D (some false) := by
  simp [advance,TM2.step,program,TM2.stepAux,cfg,update_zero,update_one,update_two]
lemma step_cons (A B D : List Bool) (v : Store) :
    advance (TM2.step program) (cfg (some ()) (true::A) B (false::D) v)=
      cfg (some ()) A (true::B) (false::false::D) (some true) := by
  simp [advance,TM2.step,program,TM2.stepAux,cfg,update_zero,update_one,update_two]
lemma step_stop (A B : List Bool) (v : Store) :
    advance (TM2.step program) (cfg (some ()) A B [] v)=cfg none A B [] none := by
  simp [advance,TM2.step,program,TM2.stepAux,cfg]

theorem run_tree (x : Data) (A B D : List Bool) (v : Store) :
    MachineCost.run (TM2.step program) (encode x).length
      (cfg (some ()) (encode x++A) B (false::D) v)=
      cfg (some ()) A ((encode x).reverse++B) D (some false) := by
  induction x generalizing A B D v with
  | nil => simpa [encode,MachineCost.run] using step_nil A B D v
  | cons x y ihx ihy =>
    simp only [encode,List.length_cons,List.length_append,List.cons_append]
    rw [MachineCost.run,step_cons]
    rw [show (encode x++encode y)++A=encode x++(encode y++A) by simp only [List.append_assoc]]
    rw [run_add,ihx,ihy]
    simp only [List.reverse_cons,List.reverse_append,List.append_assoc,List.singleton_append]

theorem run_transfer (x : Data) (A B : List Bool) (v : Store) :
    MachineCost.run (TM2.step program) ((encode x).length+1)
      (cfg (some ()) (encode x++A) B [false] v)=
      cfg none A ((encode x).reverse++B) [] none := by
  rw [run_add,run_tree]
  exact step_stop A ((encode x).reverse++B) (some false)
end MatchingFPRAS.TreeTransfer

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Tapes_WordOps
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.WordOps
open Turing MachineCost TreeTransfer

def duplicate : Unit → TM2.Stmt (fun _ : Fin 3=>Bool) Unit Store := fun _=>
  .pop 0 (fun _ b=>b) (.branch Option.isNone (.load (fun _=>none) .halt)
    (.push 1 (fun v=>v.getD false) (.push 2 (fun v=>v.getD false) (.goto (fun _=>())))))
lemma duplicate_nil (B D : List Bool) (v : Store) :
    advance (TM2.step duplicate) (cfg (some ()) [] B D v)=cfg none [] B D none := by
  simp [advance,TM2.step,duplicate,TM2.stepAux,cfg,update_zero]
lemma duplicate_cons (b : Bool) (A B D : List Bool) (v : Store) :
    advance (TM2.step duplicate) (cfg (some ()) (b::A) B D v)=
      cfg (some ()) A (b::B) (b::D) (some b) := by
  simp [advance,TM2.step,duplicate,TM2.stepAux,cfg,update_zero,update_one,update_two]
theorem run_duplicate (A B D : List Bool) (v : Store) :
    MachineCost.run (TM2.step duplicate) (A.length+1) (cfg (some ()) A B D v)=
      cfg none [] (A.reverse++B) (A.reverse++D) none := by
  induction A generalizing B D v with
  | nil => simpa only [List.length_nil,Nat.zero_add,List.reverse_nil,List.nil_append,MachineCost.run] using duplicate_nil B D v
  | cons b A ih =>
    rw [List.length_cons,Nat.add_right_comm,MachineCost.run,duplicate_cons,ih]
    simp only [List.reverse_cons,List.append_assoc,List.singleton_append]

def clear : Unit → TM2.Stmt (fun _ : Fin 3=>Bool) Unit Store := fun _=>
  .pop 0 (fun _ b=>b) (.branch Option.isNone (.load (fun _=>none) .halt) (.goto (fun _=>())))
lemma clear_nil (B D : List Bool) (v : Store) :
    advance (TM2.step clear) (cfg (some ()) [] B D v)=cfg none [] B D none := by
  simp [advance,TM2.step,clear,TM2.stepAux,cfg,update_zero]
lemma clear_cons (b : Bool) (A B D : List Bool) (v : Store) :
    advance (TM2.step clear) (cfg (some ()) (b::A) B D v)=cfg (some ()) A B D (some b) := by
  simp [advance,TM2.step,clear,TM2.stepAux,cfg,update_zero]
theorem run_clear (A B D : List Bool) (v : Store) :
    MachineCost.run (TM2.step clear) (A.length+1) (cfg (some ()) A B D v)=cfg none [] B D none := by
  induction A generalizing v with
  | nil => exact clear_nil B D v
  | cons b A ih => rw [List.length_cons,Nat.add_right_comm,MachineCost.run,clear_cons,ih]
end MatchingFPRAS.WordOps

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_RegisterProc
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.RegisterProc
open Turing MachineCost

abbrev Store := Option Bool
abbrev Stack (K : Type) := K → List Bool
structure Proc (K : Type) where
  Label : Type
  [labels : Fintype Label]
  [entry : Inhabited Label]
  code : Label → TM2.Stmt (fun _ : K=>Bool) Label Store
attribute [instance] Proc.labels Proc.entry
variable {K : Type} [DecidableEq K]

def Exec (P : Proc K) (S T : Stack K) (bound : ℕ) : Prop :=
  ∃ n≤bound,MachineCost.run (TM2.step P.code) n ⟨some default,none,S⟩=⟨none,none,T⟩
lemma Exec.mono {P : Proc K} {S T : Stack K} {n m : ℕ}
    (h : Exec P S T n) (hn : n ≤ m) : Exec P S T m := by
  obtain ⟨k,hk,he⟩:=h; exact ⟨k,hk.trans hn,he⟩

def seq (P Q : Proc K) : Proc K :=
  { Label := P.Label ⊕ Q.Label
    entry := ⟨Sum.inl default⟩
    code := StackComposition.sequence P.code Q.code }
lemma Exec.seq {P Q : Proc K} {S T U : Stack K} {n m : ℕ}
    (hP : Exec P S T n) (hQ : Exec Q T U m) : Exec (seq P Q) S U (n+m) := by
  obtain ⟨i,hi,he⟩:=hP
  obtain ⟨j,hj,hf⟩:=hQ
  obtain ⟨k,hk,hg⟩:=StackComposition.sequence_run P.code Q.code
    ⟨some default,none,S⟩ i j none none T U he hf
  exact ⟨k,hk.trans (Nat.add_le_add hi hj),hg⟩

def atom (s : TM2.Stmt (fun _ : K=>Bool) Unit Store) : Proc K := ⟨Unit,fun _=>s⟩
lemma exec_atom (s : TM2.Stmt (fun _ : K=>Bool) Unit Store) (S T : Stack K)
    (h : TM2.stepAux s none S=⟨none,none,T⟩) : Exec (atom s) S T 1 := ⟨1,le_rfl,h⟩

def reindex (P : Proc (Fin 3)) (e : Fin 3 ↪ K) : Proc K :=
  ⟨P.Label,StackLens.program e (StackLens.Lens.identity Store) P.code⟩
noncomputable def frame (e : Fin 3 ↪ K) (A B C : List Bool) (S : Stack K) : Stack K :=
  StackEmbedding.extend e ![A,B,C] S
lemma exec_reindex (P : Proc (Fin 3)) (e : Fin 3 ↪ K) (S : Stack K)
    (A B C A' B' C' : List Bool) (n : ℕ)
    (h : Exec P ![A,B,C] ![A',B',C'] n) :
    Exec (reindex P e) (frame e A B C S) (frame e A' B' C' S) n := by
  obtain ⟨k,hk,he⟩:=h
  refine ⟨k,hk,?_⟩
  have hh := StackLens.run_cfg e (StackLens.Lens.identity Store) P.code S none k
    ⟨some default,none,![A,B,C]⟩
  rw [he] at hh
  exact hh

def triple (a b c : K) (hab : a≠b) (hac : a≠c) (hbc : b≠c) : Fin 3 ↪ K :=
  ⟨![a,b,c],by intro i j h; fin_cases i <;> fin_cases j <;> simp_all⟩
omit [DecidableEq K] in
@[simp] lemma triple_zero (a b c : K) (hab : a≠b) (hac : a≠c) (hbc : b≠c) :
    triple a b c hab hac hbc 0=a := rfl
omit [DecidableEq K] in
@[simp] lemma triple_one (a b c : K) (hab : a≠b) (hac : a≠c) (hbc : b≠c) :
    triple a b c hab hac hbc 1=b := rfl
omit [DecidableEq K] in
@[simp] lemma triple_two (a b c : K) (hab : a≠b) (hac : a≠c) (hbc : b≠c) :
    triple a b c hab hac hbc 2=c := rfl

def put3 (S : Stack K) (a b c : K) (A B C : List Bool) : Stack K :=
  Function.update (Function.update (Function.update S a A) b B) c C
lemma frame_triple (S : Stack K) (a b c : K) (hab : a≠b) (hac : a≠c) (hbc : b≠c)
    (A B C : List Bool) : frame (triple a b c hab hac hbc) A B C S=put3 S a b c A B C := by
  funext j
  by_cases hja : j=a
  · subst j
    have hh:=StackEmbedding.extend_on (triple a b c hab hac hbc) ![A,B,C] S 0
    simpa [frame,put3,hab,hac,hbc,hab.symm,hac.symm,hbc.symm] using hh
  by_cases hjb : j=b
  · subst j
    have hh:=StackEmbedding.extend_on (triple a b c hab hac hbc) ![A,B,C] S 1
    simpa [frame,put3,hab,hac,hbc,hab.symm,hac.symm,hbc.symm] using hh
  by_cases hjc : j=c
  · subst j
    have hh:=StackEmbedding.extend_on (triple a b c hab hac hbc) ![A,B,C] S 2
    simpa [frame,put3] using hh
  have he : ¬∃ k,triple a b c hab hac hbc k=j := by
    rintro ⟨k,hk⟩; fin_cases k <;> simp_all
  rw [frame,StackEmbedding.extend_off _ _ _ j he]
  simp [put3,hja,hjb,hjc]
lemma put3_same (S : Stack K) (a b c : K) (_ : a≠b) (hac : a≠c) (hbc : b≠c) :
    put3 S a b c (S a) (S b) (S c)=S := by
  funext j
  by_cases hja : j=a <;> by_cases hjb : j=b <;> by_cases hjc : j=c <;> simp_all [put3]

def clearRaw : Proc (Fin 3) := ⟨Unit,WordOps.clear⟩
def reverseRaw : Proc (Fin 3) := ⟨Unit,StackReverse.program⟩
def duplicateRaw : Proc (Fin 3) := ⟨Unit,WordOps.duplicate⟩
def transferRaw : Proc (Fin 3) := ⟨Unit,TreeTransfer.program⟩
lemma clearRaw_exec (A B C : List Bool) :
    Exec clearRaw ![A,B,C] ![[],B,C] (A.length+1) :=
  ⟨_,le_rfl,WordOps.run_clear A B C none⟩
lemma reverseRaw_exec (A B C : List Bool) :
    Exec reverseRaw ![A,B,C] ![[],A.reverse++B,C] (A.length+1) :=
  ⟨_,le_rfl,StackReverse.run_reverse A B C none⟩
lemma duplicateRaw_exec (A B C : List Bool) :
    Exec duplicateRaw ![A,B,C] ![[],A.reverse++B,A.reverse++C] (A.length+1) :=
  ⟨_,le_rfl,WordOps.run_duplicate A B C none⟩
lemma transferRaw_exec (x : TreeData.Data) (A B : List Bool) :
    Exec transferRaw ![TreeData.encode x++A,B,[false]] ![A,(TreeData.encode x).reverse++B,[]]
      ((TreeData.encode x).length+1) :=
  ⟨_,le_rfl,TreeTransfer.run_transfer x A B none⟩
end MatchingFPRAS.RegisterProc

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_RegisterTree
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.RegisterProc
open Turing MachineCost TreeData

lemma exec_perm (P : Proc (Fin 3)) (e : Fin 3 ≃ Fin 3) (S T : Stack (Fin 3))
    (n : ℕ) (h : Exec P (S ∘ e) (T ∘ e) n) : Exec (reindex P e.toEmbedding) S T n := by
  have hf (S : Stack (Fin 3)) : frame e.toEmbedding (S (e 0)) (S (e 1)) (S (e 2)) S=S := by
    funext j
    obtain ⟨i,rfl⟩:=e.surjective j
    have hh:=StackEmbedding.extend_on e.toEmbedding ![S (e 0),S (e 1),S (e 2)] S i
    fin_cases i <;> exact hh
  have hs : S ∘ e=![S (e 0),S (e 1),S (e 2)] := by funext i; fin_cases i <;> rfl
  have ht : T ∘ e=![T (e 0),T (e 1),T (e 2)] := by funext i; fin_cases i <;> rfl
  rw [hs,ht] at h
  have hh:=exec_reindex P e.toEmbedding S _ _ _ _ _ _ n h
  rw [hf] at hh
  have hf' : frame e.toEmbedding (T (e 0)) (T (e 1)) (T (e 2)) S=T := by
    funext j
    obtain ⟨i,rfl⟩:=e.surjective j
    have he:=StackEmbedding.extend_on e.toEmbedding ![T (e 0),T (e 1),T (e 2)] S i
    fin_cases i <;> exact he
  rwa [hf'] at hh

def p02 : Fin 3 ≃ Fin 3 := Equiv.swap 0 2
def p01 : Fin 3 ≃ Fin 3 := Equiv.swap 0 1
def p12 : Fin 3 ≃ Fin 3 := Equiv.swap 1 2
def p201 : Fin 3 ≃ Fin 3 := p02.trans p01

def p120 : Fin 3 ≃ Fin 3 := p201.symm
@[simp] lemma vector_p01 (A B C : List Bool) : ![A,B,C] ∘ p01=![B,A,C] := by
  funext i; fin_cases i <;> rfl
@[simp] lemma vector_p02 (A B C : List Bool) : ![A,B,C] ∘ p02=![C,B,A] := by
  funext i; fin_cases i <;> rfl
@[simp] lemma vector_p12 (A B C : List Bool) : ![A,B,C] ∘ p12=![A,C,B] := by
  funext i; fin_cases i <;> rfl
@[simp] lemma vector_p201 (A B C : List Bool) : ![A,B,C] ∘ p201=![C,A,B] := by
  funext i; fin_cases i <;> rfl
@[simp] lemma vector_p120 (A B C : List Bool) : ![A,B,C] ∘ p120=![B,C,A] := by
  funext i; fin_cases i <;> rfl

def reverse02 : Proc (Fin 3) := reindex reverseRaw p12.toEmbedding
def reverse10 : Proc (Fin 3) := reindex reverseRaw p01.toEmbedding
def reverse20 : Proc (Fin 3) := reindex reverseRaw p201.toEmbedding
def reverse21 : Proc (Fin 3) := reindex reverseRaw p02.toEmbedding
lemma reverse02_exec (A B C : List Bool) :
    Exec reverse02 ![A,B,C] ![[],B,A.reverse++C] (A.length+1) := by
  apply exec_perm
  simpa only [vector_p12] using reverseRaw_exec A C B
lemma reverse10_exec (A B C : List Bool) :
    Exec reverse10 ![A,B,C] ![B.reverse++A,[],C] (B.length+1) := by
  apply exec_perm
  simpa only [vector_p01] using reverseRaw_exec B A C
lemma reverse20_exec (A B C : List Bool) :
    Exec reverse20 ![A,B,C] ![C.reverse++A,B,[]] (C.length+1) := by
  apply exec_perm
  simpa only [vector_p201] using reverseRaw_exec C A B
lemma reverse21_exec (A B C : List Bool) :
    Exec reverse21 ![A,B,C] ![A,C.reverse++B,[]] (C.length+1) := by
  apply exec_perm
  simpa only [vector_p02] using reverseRaw_exec C B A

def finishCons : Proc (Fin 3) := atom (.push 0 (fun _=>false) (.push 1 (fun _=>true) .halt))
lemma finishCons_exec (A : List Bool) : Exec finishCons ![[],A,[]] ![[false],true::A,[]] 1 := by
  apply exec_atom
  simp only [TM2.stepAux]
  congr 1
  funext i; fin_cases i <;> simp

def cons : Proc (Fin 3) := seq reverse02 (seq reverse21 finishCons)
lemma cons_exec (x y : Data) :
    Exec cons ![encode x,encode y,[]] ![encode .nil,encode (.cons x y),[]]
      (2*(encode x).length+3) := by
  have h₁:=reverse02_exec (encode x) (encode y) []
  have h₂:=reverse21_exec [] (encode y) (encode x).reverse
  simp only [List.append_nil,List.reverse_reverse,List.length_reverse] at h₁ h₂
  have hh:=h₁.seq (h₂.seq (finishCons_exec (encode x++encode y)))
  exact hh.mono (by omega)

def clear1 : Proc (Fin 3) := reindex clearRaw p01.toEmbedding
lemma clear1_exec (A B C : List Bool) : Exec clear1 ![A,B,C] ![A,[],C] (B.length+1) := by
  apply exec_perm
  simpa only [vector_p01] using clearRaw_exec B A C

def copy : Proc (Fin 3) := seq clear1 (seq duplicateRaw (seq reverse10 reverse21))
lemma copy_exec (A B : List Bool) : Exec copy ![A,B,[]] ![A,A,[]]
    (B.length+3*A.length+4) := by
  have h₁:=clear1_exec A B []
  have h₂:=duplicateRaw_exec A [] []
  have h₃:=reverse10_exec [] A.reverse A.reverse
  have h₄:=reverse21_exec A [] A.reverse
  simp only [List.reverse_reverse,List.append_nil,List.length_reverse] at h₂ h₃ h₄
  have hh:=h₁.seq (h₂.seq (h₃.seq h₄))
  exact hh.mono (by omega)

def startSplit : Proc (Fin 3) := atom (.pop 1 (fun v _=>v) (.push 0 (fun _=>false) .halt))
lemma startSplit_exec (A : List Bool) : Exec startSplit ![[],true::A,[]] ![[false],A,[]] 1 := by
  apply exec_atom
  simp only [TM2.stepAux]
  congr 1
  funext i; fin_cases i <;> simp
def transfer12 : Proc (Fin 3) := reindex transferRaw p120.toEmbedding
lemma transfer12_exec (x : Data) (A B : List Bool) :
    Exec transfer12 ![[false],encode x++A,B] ![[],A,(encode x).reverse++B]
      ((encode x).length+1) := by
  apply exec_perm
  simpa only [vector_p120] using transferRaw_exec x A B

def split : Proc (Fin 3) := seq clearRaw (seq startSplit (seq transfer12 reverse20))
lemma split_exec (A : List Bool) (x y : Data) :
    Exec split ![A,encode (.cons x y),[]] ![encode x,encode y,[]]
      (A.length+2*(encode x).length+4) := by
  have h₁:=clearRaw_exec A (encode (.cons x y)) []
  have h₂:=startSplit_exec (encode x++encode y)
  have h₃:=transfer12_exec x (encode y) []
  have h₄:=reverse20_exec [] (encode y) (encode x).reverse
  simp only [List.reverse_reverse,List.append_nil,List.length_reverse] at h₃ h₄
  have hh:=h₁.seq (h₂.seq (h₃.seq h₄))
  exact hh.mono (by omega)
end MatchingFPRAS.RegisterProc

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_TreeMachine
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.RegisterProc
open Turing TreeData

def makeNil : Proc (Fin 3) := seq clearRaw (atom (.push 0 (fun _=>false) .halt))
lemma makeNil_exec (A B C : List Bool) : Exec makeNil ![A,B,C] ![[false],B,C] (A.length+2) := by
  have h₁:=clearRaw_exec A B C
  have h₂ : Exec (atom (.push 0 (fun _=>false) .halt)) ![[],B,C] ![[false],B,C] 1 := by
    apply exec_atom
    simp only [TM2.stepAux]
    congr 1
    funext i; fin_cases i <;> simp
  exact (h₁.seq h₂).mono (by omega)

variable {K : Type} [DecidableEq K]
lemma exec_on (P : Proc (Fin 3)) (a b c : K) (hab : a≠b) (hac : a≠c) (hbc : b≠c)
    (S : Stack K) (A B C : List Bool) (n : ℕ)
    (h : Exec P ![S a,S b,S c] ![A,B,C] n) :
    Exec (reindex P (triple a b c hab hac hbc)) S (put3 S a b c A B C) n := by
  have hh:=exec_reindex P (triple a b c hab hac hbc) S _ _ _ _ _ _ n h
  simpa only [frame_triple,put3_same S a b c hab hac hbc] using hh
end MatchingFPRAS.RegisterProc

namespace MatchingFPRAS.TreeMachine
open TreeData RegisterProc Turing MachineCost

variable {R Λ : Type} [DecidableEq R]
abbrev K (R : Type) := R⊕Fin 2
abbrev Env (R : Type) := R→Data

def encodeEnv (E : Env R) : Stack (K R)
  | .inl r => encode (E r)
  | .inr _ => []
def pairEmbedding (i j : R) (hij : i≠j) : Fin 3 ↪ K R :=
  triple (.inl i) (.inl j) (.inr 0) (by simpa) (by simp) (by simp)
def singleEmbedding (i : R) : Fin 3 ↪ K R :=
  triple (.inl i) (.inr 0) (.inr 1) (by simp) (by simp) (by simp)

def putPair (E : Env R) (i j : R) (x y : Data) : Env R :=
  Function.update (Function.update E i x) j y
lemma encode_putPair (E : Env R) (i j : R) (hij : i≠j) (x y : Data) :
    put3 (encodeEnv E) (.inl i) (.inl j) (.inr 0) (encode x) (encode y) []=
      encodeEnv (putPair E i j x y) := by
  funext k
  cases k with
  | inr k => fin_cases k <;> simp [put3,encodeEnv]
  | inl k =>
    by_cases hi : k=i <;> by_cases hj : k=j <;> simp_all [put3,encodeEnv,putPair]
lemma encode_putSingle (E : Env R) (i : R) (x : Data) :
    put3 (encodeEnv E) (.inl i) (.inr 0) (.inr 1) (encode x) [] []=
      encodeEnv (Function.update E i x) := by
  funext k
  cases k with
  | inr k => fin_cases k <;> simp [put3,encodeEnv]
  | inl k => by_cases hi : k=i <;> simp_all [put3,encodeEnv]

inductive Instr (R Λ : Type) where
  | halt
  | go (next : Λ)
  | branch (i : R) (nil cons : Λ)
  | nil (i : R) (next : Λ)
  | copy (i j : R) (distinct : i≠j) (next : Λ)
  | cons (i j : R) (distinct : i≠j) (next : Λ)
  | split (i j : R) (distinct : i≠j) (next : Λ)

def procedure : Instr R Λ → Proc (K R)
  | .nil i _ => reindex makeNil (singleEmbedding i)
  | .copy i j h _ => reindex RegisterProc.copy (pairEmbedding i j h)
  | .cons i j h _ => reindex RegisterProc.cons (pairEmbedding i j h)
  | .split i j h _ => reindex RegisterProc.split (pairEmbedding i j h)
  | _ => atom .halt

lemma nil_exec (E : Env R) (i : R) (l : Λ) :
    Exec (procedure (.nil i l)) (encodeEnv E) (encodeEnv (Function.update E i .nil))
      ((encode (E i)).length+2) := by
  have hh:=exec_on (K:=K R) makeNil (.inl i) (.inr 0) (.inr 1) (by simp) (by simp) (by simp)
    (encodeEnv E) [false] [] [] _ (makeNil_exec (encode (E i)) [] [])
  have he:=encode_putSingle E i .nil
  simp only [encode] at he
  rwa [he] at hh
lemma copy_exec (E : Env R) (i j : R) (hij : i≠j) (l : Λ) :
    Exec (procedure (.copy i j hij l)) (encodeEnv E) (encodeEnv (putPair E i j (E i) (E i)))
      ((encode (E j)).length+3*(encode (E i)).length+4) := by
  have hh:=exec_on (K:=K R) RegisterProc.copy (.inl i) (.inl j) (.inr 0) (by simpa) (by simp) (by simp)
    (encodeEnv E) (encode (E i)) (encode (E i)) [] _ (RegisterProc.copy_exec (encode (E i)) (encode (E j)))
  rwa [encode_putPair E i j hij] at hh
lemma cons_exec (E : Env R) (i j : R) (hij : i≠j) (l : Λ) :
    Exec (procedure (.cons i j hij l)) (encodeEnv E) (encodeEnv (putPair E i j .nil (.cons (E i) (E j))))
      (2*(encode (E i)).length+3) := by
  have hh:=exec_on (K:=K R) RegisterProc.cons (.inl i) (.inl j) (.inr 0) (by simpa) (by simp) (by simp)
    (encodeEnv E) (encode .nil) (encode (.cons (E i) (E j))) [] _ (RegisterProc.cons_exec (E i) (E j))
  rwa [encode_putPair E i j hij] at hh
lemma split_exec (E : Env R) (i j : R) (hij : i≠j) (l : Λ) (x y : Data) (he : E j=.cons x y) :
    Exec (procedure (.split i j hij l)) (encodeEnv E) (encodeEnv (putPair E i j x y))
      ((encode (E i)).length+2*(encode x).length+4) := by
  have h:=RegisterProc.split_exec (encode (E i)) x y
  rw [←he] at h
  have hh:=exec_on (K:=K R) RegisterProc.split (.inl i) (.inl j) (.inr 0) (by simpa) (by simp) (by simp)
    (encodeEnv E) (encode x) (encode y) [] _ h
  rwa [encode_putPair E i j hij] at hh
end MatchingFPRAS.TreeMachine

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_BinaryNormalize
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.BinaryNormalize
open Turing MachineCost RegisterProc TreeTransfer
open StackAddition (value value_bits)

def normalize (A : List Bool) : List Bool := (A.reverse.dropWhile Bool.not).reverse
lemma normalize_cons (b : Bool) (A : List Bool) :
    normalize (b::A)=if normalize A=[] ∧ b=false then [] else b::normalize A := by
  simp only [normalize,List.reverse_cons,List.dropWhile_append]
  have hh (B : List Bool) :
      (if B.isEmpty then [b].dropWhile Bool.not else B++[b]).reverse=
        if B.reverse=[] ∧ b=false then [] else b::B.reverse := by
    cases B <;> cases b <;> simp
  exact hh _
lemma normalize_bits (A : List Bool) : normalize A=(value A).bits := by
  induction A with
  | nil => rfl
  | cons b A ih =>
    rw [normalize_cons,ih]
    cases b with
    | false =>
      by_cases hz : value A=0
      · simp [hz,value]
      · have hne : (value A).bits≠[] := by
          intro emptyBits
          exact hz ((value_bits (value A)).symm.trans (congrArg value emptyBits))
        simp only [value,Bool.toNat_false,Nat.zero_add, Nat.bit0_bits _ hz,hne,false_and,↓reduceIte]
    | true =>
      simp only [Bool.true_eq_false,and_false,↓reduceIte,value,Bool.toNat_true]
      rw [Nat.add_comm 1 (2*value A),Nat.bit1_bits]
lemma normalize_length (A : List Bool) : (normalize A).length≤A.length := by
  simpa only [normalize,List.length_reverse] using List.length_dropWhile_le Bool.not A.reverse

def stripProgram : Unit→TM2.Stmt (fun _ : Fin 3=>Bool) Unit (Option Bool) := fun _=>
  .peek 0 (fun _ x=>x) (.branch (fun x=>x.isNone || x.getD false)
    (.load (fun _=>none) .halt)
    (.pop 0 (fun v _=>v) (.goto (fun _=>()))))
lemma strip_nil (B C : List Bool) (v : Option Bool) :
    advance (TM2.step stripProgram) (cfg (some ()) [] B C v)=cfg none [] B C none := by
  simp [advance,TM2.step,stripProgram,TM2.stepAux,cfg]
lemma strip_true (A B C : List Bool) (v : Option Bool) :
    advance (TM2.step stripProgram) (cfg (some ()) (true::A) B C v)=cfg none (true::A) B C none := by
  simp [advance,TM2.step,stripProgram,TM2.stepAux,cfg]
lemma strip_false (A B C : List Bool) (v : Option Bool) :
    advance (TM2.step stripProgram) (cfg (some ()) (false::A) B C v)=cfg (some ()) A B C (some false) := by
  simp [advance,TM2.step,stripProgram,TM2.stepAux,cfg,update_zero]
lemma run_strip (A B C : List Bool) (v : Option Bool) :
    ∃ n≤A.length+1,MachineCost.run (TM2.step stripProgram) n (cfg (some ()) A B C v)=
      cfg none (A.dropWhile Bool.not) B C none := by
  induction A generalizing v with
  | nil => exact ⟨1,le_rfl,strip_nil B C v⟩
  | cons a A ih => cases a with
    | false =>
      obtain ⟨n,hn,he⟩:=ih (some false)
      refine ⟨n+1,by simp only [List.length_cons]; omega,?_⟩
      rw [MachineCost.run,strip_false,he]
      rfl
    | true => exact ⟨1,by simp,strip_true A B C v⟩
def stripRaw : Proc (Fin 3) := ⟨Unit,stripProgram⟩
lemma stripRaw_exec (A B C : List Bool) :
    Exec stripRaw ![A,B,C] ![A.dropWhile Bool.not,B,C] (A.length+1) := run_strip A B C none

def swap01 : Fin 3 ↪ Fin 3 := triple 1 0 2 (by decide) (by decide) (by decide)
lemma reindex_swap (P : Proc (Fin 3)) (A B C A' B' C' : List Bool) (n : ℕ)
    (h : Exec P ![A,B,C] ![A',B',C'] n) :
    Exec (reindex P swap01) ![B,A,C] ![B',A',C'] n := by
  have hh:=exec_on P (1 : Fin 3) 0 2 (by decide) (by decide) (by decide) ![B,A,C] A' B' C' n h
  have hout : put3 ![B,A,C] (1 : Fin 3) 0 2 A' B' C'=![B',A',C'] := by
    funext i; fin_cases i <;> simp [put3]
  rw [hout] at hh
  exact hh

def program : Proc (Fin 3) := seq reverseRaw (seq (reindex stripRaw swap01) (reindex reverseRaw swap01))
theorem exec (A C : List Bool) : Exec program ![A,[],C] ![normalize A,[],C] (3*A.length+3) := by
  have h₁:=reverseRaw_exec A [] C
  simp only [List.append_nil] at h₁
  have h₂:=reindex_swap stripRaw A.reverse [] C _ [] C _ (stripRaw_exec A.reverse [] C)
  have h₃:=reindex_swap reverseRaw (A.reverse.dropWhile Bool.not) [] C [] _ C _
    (reverseRaw_exec (A.reverse.dropWhile Bool.not) [] C)
  simp only [List.append_nil] at h₃
  have hh:=h₁.seq (h₂.seq h₃)
  apply hh.mono
  have hl:=List.length_dropWhile_le Bool.not A.reverse
  simp only [List.length_reverse] at hl ⊢
  omega
end MatchingFPRAS.BinaryNormalize

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_FiniteStore
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.FiniteStore
open Turing MachineCost RegisterProc

variable {K Λ σ : Type} [DecidableEq K]

def stmt : TM2.Stmt (fun _ : K=>Bool) Λ σ → σ →
    TM2.Stmt (fun _ : K=>Bool) (Λ×σ) (Option Bool)
  | .push k f q,v => .push k (fun _=>f v) (stmt q v)
  | .peek k f q,v => .peek k (fun _ x=>x)
      (.branch Option.isNone (stmt q (f v none))
        (.branch (fun x=>x.getD false) (stmt q (f v (some true))) (stmt q (f v (some false)))))
  | .pop k f q,v => .pop k (fun _ x=>x)
      (.branch Option.isNone (stmt q (f v none))
        (.branch (fun x=>x.getD false) (stmt q (f v (some true))) (stmt q (f v (some false)))))
  | .load f q,v => stmt q (f v)
  | .branch f q r,v => if f v then stmt q v else stmt r v
  | .goto f,v => .load (fun _=>none) (.goto (fun _=>(f v,v)))
  | .halt,_ => .load (fun _=>none) .halt

def cfg (c : TM2.Cfg (fun _ : K=>Bool) Λ σ) :
    TM2.Cfg (fun _ : K=>Bool) (Λ×σ) (Option Bool) :=
  ⟨c.l.map (fun l=>(l,c.var)),none,c.stk⟩

theorem stmt_eval (q : TM2.Stmt (fun _ : K=>Bool) Λ σ) (v : σ) (u : Option Bool)
    (S : K→List Bool) : TM2.stepAux (stmt q v) u S=cfg (TM2.stepAux q v S) := by
  induction q generalizing v u S with
  | push k f q ih => simpa only [stmt,TM2.stepAux] using ih v u (Function.update S k (f v::S k))
  | peek k f q ih =>
    cases hh : (S k).head? with
    | none => simpa only [stmt,TM2.stepAux,hh,Option.isNone_none,Bool.cond_true] using ih (f v none) none S
    | some b => cases b <;> simpa only [stmt,TM2.stepAux,hh,Option.isNone_some,Bool.cond_false,
      Option.getD_some,Bool.cond_true] using ih (f v (S k).head?) (S k).head? S
  | pop k f q ih =>
    cases hh : (S k).head? with
    | none => simpa only [stmt,TM2.stepAux,hh,Option.isNone_none,Bool.cond_true] using ih (f v none) none (Function.update S k (S k).tail)
    | some b => cases b <;> simpa only [stmt,TM2.stepAux,hh,Option.isNone_some,Bool.cond_false,
      Option.getD_some,Bool.cond_true] using ih (f v (S k).head?) (S k).head? (Function.update S k (S k).tail)
  | load f q ih => exact ih (f v) u S
  | branch f q r ihq ihr =>
    cases hh : f v with
    | false => simpa only [stmt,TM2.stepAux,hh,Bool.false_eq_true,↓reduceIte,Bool.cond_false] using ihr v u S
    | true => simpa only [stmt,TM2.stepAux,hh,↓reduceIte,Bool.cond_true] using ihq v u S
  | goto f => rfl
  | halt => rfl

def program (M : Λ→TM2.Stmt (fun _ : K=>Bool) Λ σ) :
    Λ×σ→TM2.Stmt (fun _ : K=>Bool) (Λ×σ) (Option Bool) := fun p=>stmt (M p.1) p.2
lemma advance_cfg (M : Λ→TM2.Stmt (fun _ : K=>Bool) Λ σ)
    (c : TM2.Cfg (fun _ : K=>Bool) Λ σ) :
    advance (TM2.step (program M)) (cfg c)=cfg (advance (TM2.step M) c) := by
  rcases c with ⟨l,v,S⟩
  cases l with
  | none => rfl
  | some l => exact stmt_eval (M l) v none S
lemma run_cfg (M : Λ→TM2.Stmt (fun _ : K=>Bool) Λ σ) (n : ℕ)
    (c : TM2.Cfg (fun _ : K=>Bool) Λ σ) :
    MachineCost.run (TM2.step (program M)) n (cfg c)=cfg (MachineCost.run (TM2.step M) n c) := by
  induction n generalizing c with
  | zero => rfl
  | succ n ih => rw [MachineCost.run,advance_cfg,ih,MachineCost.run]

def procedure [Fintype Λ] [DecidableEq Λ] [Inhabited Λ] [Fintype σ] [DecidableEq σ]
    (M : Λ→TM2.Stmt (fun _ : K=>Bool) Λ σ) (v : σ) : Proc K :=
  { Label := Λ×σ
    labels := inferInstance
    entry := ⟨(default,v)⟩
    code := program M }

theorem exec [Fintype Λ] [DecidableEq Λ] [Inhabited Λ] [Fintype σ] [DecidableEq σ]
    (M : Λ→TM2.Stmt (fun _ : K=>Bool) Λ σ) (v w : σ) (A B : Stack K) (n : ℕ)
    (h : MachineCost.run (TM2.step M) n ⟨some default,v,A⟩=⟨none,w,B⟩) :
    Exec (procedure M v) A B n := by
  refine ⟨n,le_rfl,?_⟩
  exact (run_cfg M n ⟨some default,v,A⟩).trans (congrArg cfg h)
end MatchingFPRAS.FiniteStore

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_TreeLookup
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeData
open Data

def ofList : List Data → Data
  | [] => .nil
  | x::xs => .cons x (ofList xs)
end MatchingFPRAS.TreeData

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_TableLookup
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeData
open Data

def bit (b : Bool) : Data := if b then .cons .nil .nil else .nil
def nat (n : ℕ) : Data := ofList (n.bits.map bit)
@[simp] lemma nat_zero : nat 0=.nil := by simp [nat,Nat.bits,ofList]
end MatchingFPRAS.TreeData

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Tapes_TreeBits
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeData

def bits (A : List Bool) : Data := ofList (A.map bit)
@[simp] lemma bits_nil : bits []=.nil := rfl
@[simp] lemma bits_cons (b : Bool) (A : List Bool) : bits (b::A)=.cons (bit b) (bits A) := rfl
end MatchingFPRAS.TreeData

namespace MatchingFPRAS.TreeBits
open Turing MachineCost RegisterProc TreeData TreeTransfer

def decodeProgram : Unit→TM2.Stmt (fun _ : Fin 3=>Bool) Unit (Option Bool) := fun _=>
  .pop 0 (fun _ x=>x) (.branch (fun x=>x.getD false)
    (.pop 0 (fun _ x=>x) (.branch (fun x=>x.getD false)
      (.pop 0 (fun v _=>v) (.pop 0 (fun v _=>v) (.push 1 (fun _=>true) (.goto (fun _=>())))))
      (.push 1 (fun _=>false) (.goto (fun _=>())))))
    (.load (fun _=>none) .halt))
lemma decode_nil (A B C : List Bool) (v : Option Bool) :
    advance (TM2.step decodeProgram) (cfg (some ()) (false::A) B C v)=cfg none A B C none := by
  simp [advance,TM2.step,decodeProgram,TM2.stepAux,cfg,update_zero]
lemma decode_cons (b : Bool) (bs A B C : List Bool) (v : Option Bool) :
    advance (TM2.step decodeProgram) (cfg (some ()) (encode (bits (b::bs))++A) B C v)=
      cfg (some ()) (encode (bits bs)++A) (b::B) C (some b) := by
  cases b <;> simp [advance,TM2.step,decodeProgram,TM2.stepAux,cfg,update_zero,update_one,encode,bit]
lemma run_decode (bs A B C : List Bool) (v : Option Bool) :
    MachineCost.run (TM2.step decodeProgram) (bs.length+1)
      (cfg (some ()) (encode (bits bs)++A) B C v)=cfg none A (bs.reverse++B) C none := by
  induction bs generalizing B v with
  | nil => simpa only [bits_nil,encode,List.singleton_append,List.length_nil,List.reverse_nil,List.nil_append,Nat.zero_add,MachineCost.run] using decode_nil A B C v
  | cons b bs ih =>
    rw [List.length_cons,Nat.add_right_comm,MachineCost.run,decode_cons,ih]
    simp only [List.reverse_cons,List.append_assoc,List.singleton_append]
def decodeRaw : Proc (Fin 3) := ⟨Unit,decodeProgram⟩
lemma decodeRaw_exec (bs A B C : List Bool) :
    Exec decodeRaw ![encode (bits bs)++A,B,C] ![A,bs.reverse++B,C] (bs.length+1) :=
  ⟨_,le_rfl,run_decode bs A B C none⟩

def encodeProgram : Unit→TM2.Stmt (fun _ : Fin 3=>Bool) Unit (Option Bool) := fun _=>
  .pop 0 (fun _ x=>x) (.branch Option.isNone (.load (fun _=>none) .halt)
    (.branch (fun x=>x.getD false)
      (.push 1 (fun _=>false) (.push 1 (fun _=>false) (.push 1 (fun _=>true) (.push 1 (fun _=>true) (.goto (fun _=>()))))))
      (.push 1 (fun _=>false) (.push 1 (fun _=>true) (.goto (fun _=>()))))))
lemma encode_nil (B C : List Bool) (v : Option Bool) :
    advance (TM2.step encodeProgram) (cfg (some ()) [] B C v)=cfg none [] B C none := by
  simp [advance,TM2.step,encodeProgram,TM2.stepAux,cfg,update_zero]
lemma encode_cons (b : Bool) (bs C : List Bool) (x : Data) (v : Option Bool) :
    advance (TM2.step encodeProgram) (cfg (some ()) (b::bs) (encode x) C v)=
      cfg (some ()) bs (encode (.cons (bit b) x)) C (some b) := by
  cases b <;> simp [advance,TM2.step,encodeProgram,TM2.stepAux,cfg,update_zero,update_one,encode,bit]
def prepend (bs : List Bool) (x : Data) : Data := bs.foldr (fun b x=>.cons (bit b) x) x
lemma prepend_append (A B : List Bool) (x : Data) : prepend (A++B) x=prepend A (prepend B x) := by
  simp [prepend,List.foldr_append]
lemma run_encode (bs C : List Bool) (x : Data) (v : Option Bool) :
    MachineCost.run (TM2.step encodeProgram) (bs.length+1)
      (cfg (some ()) bs (encode x) C v)=cfg none [] (encode (prepend bs.reverse x)) C none := by
  induction bs generalizing x v with
  | nil => exact encode_nil (encode x) C v
  | cons b bs ih =>
    rw [List.length_cons,Nat.add_right_comm,MachineCost.run,encode_cons,ih,List.reverse_cons,prepend_append]
    rfl
lemma prepend_bits (bs : List Bool) : prepend bs .nil=bits bs := by
  induction bs <;> simp_all [prepend,bits,ofList]
def encodeRaw : Proc (Fin 3) := ⟨Unit,encodeProgram⟩
lemma encodeRaw_exec (bs C : List Bool) :
    Exec encodeRaw ![bs.reverse,[false],C] ![[],encode (bits bs),C] (bs.length+1) := by
  refine ⟨_,le_rfl,?_⟩
  have h:=run_encode bs.reverse C .nil none
  simpa only [List.length_reverse,List.reverse_reverse,prepend_bits,encode,encodeRaw,cfg,stackData] using h
end MatchingFPRAS.TreeBits

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_TreeNumberOps
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeBits
open Turing MachineCost RegisterProc BinaryNormalize TreeData

def decodeForward : Proc (Fin 3) := seq decodeRaw (reindex reverseRaw swap01)
lemma decodeForward_exec (A C : List Bool) :
    Exec decodeForward ![encode (bits A),[],C] ![A,[],C] (2*A.length+2) := by
  have h₁:=decodeRaw_exec A [] [] C
  simp only [List.append_nil] at h₁
  have h₂:=reindex_swap reverseRaw A.reverse [] C [] _ C _ (reverseRaw_exec A.reverse [] C)
  simp only [List.reverse_reverse,List.append_nil] at h₂
  apply (h₁.seq h₂).mono
  simp only [List.length_reverse]; omega

def encodeForward : Proc (Fin 3) := seq reverseRaw
  (seq (atom (.push 0 (fun _=>false) .halt)) (reindex encodeRaw swap01))
end MatchingFPRAS.TreeBits

namespace MatchingFPRAS.BinaryArithmeticProc
open RegisterProc Turing MachineCost

local instance addEntry : Inhabited (Bool⊕Unit) := ⟨.inl false⟩
def add : Proc (Fin 3) := FiniteStore.procedure ForwardAddition.program (default : StackAddition.Store)
lemma add_exec (A B : List Bool) :
    Exec add ![A,B,[]] ![StackAddition.addDigits false A B,[],[]] (2*(A.length+B.length)+3) := by
  obtain ⟨n,hn,he⟩:=ForwardAddition.run_add A B
  exact (FiniteStore.exec ForwardAddition.program default default _ _ n he).mono hn

local instance compareEntry : Inhabited Ordering := ⟨.eq⟩
def compare : Proc (Fin 3) := FiniteStore.procedure StackCompare.program (default : StackAddition.Store)
lemma compare_exec (A B : List Bool) :
    Exec compare ![A,B,[]] ![[],[],StackCompare.flags (Ord.compare (StackAddition.value A) (StackAddition.value B))]
      (A.length+B.length+1) := by
  obtain ⟨n,hn,he⟩:=StackCompare.run_comparison A B [] .eq default
  have h:=FiniteStore.exec StackCompare.program default default _ _ n he
  simp only [StackCompare.compares_values,List.append_nil] at h
  exact h.mono hn
end MatchingFPRAS.BinaryArithmeticProc

namespace MatchingFPRAS.TreeArithmetic
open RegisterProc TreeData TreeMachine Turing

variable {R : Type} [DecidableEq R]

def decode (i : R) : Proc (K R) := reindex TreeBits.decodeForward (singleEmbedding i)
def encode (i : R) : Proc (K R) := reindex TreeBits.encodeForward (singleEmbedding i)
def normalize (i : R) : Proc (K R) := reindex BinaryNormalize.program (singleEmbedding i)
def add (i j : R) (hij : i≠j) : Proc (K R) :=
  seq (decode i) (seq (decode j)
    (seq (reindex BinaryArithmeticProc.add (pairEmbedding i j hij))
      (seq (normalize i) (seq (encode i) (atom (.push (.inl j) (fun _=>false) .halt))))))

def rawPair (E : Env R) (i j : R) (A B : List Bool) : Stack (K R) :=
  Function.update (Function.update (encodeEnv E) (.inl i) A) (.inl j) B
lemma rawPair_scratch (E : Env R) (i j : R) (A B : List Bool) (k : Fin 2) :
    rawPair E i j A B (.inr k)=[] := by simp [rawPair,encodeEnv]
lemma rawPair_left (E : Env R) (i j : R) (hij : i≠j) (A B : List Bool) :
    rawPair E i j A B (.inl i)=A := by simp [rawPair,hij]
lemma rawPair_right (E : Env R) (i j : R) (A B : List Bool) :
    rawPair E i j A B (.inl j)=B := by simp [rawPair]
lemma rawPair_encode (E : Env R) (i j : R) (x y : Data) :
    rawPair E i j (TreeData.encode x) (TreeData.encode y)=encodeEnv (putPair E i j x y) := by
  funext k
  cases k with
  | inr k => simp [rawPair,encodeEnv]
  | inl k => by_cases hi : k=i <;> by_cases hj : k=j <;> simp_all [rawPair,encodeEnv,putPair]
lemma rawPair_same (E : Env R) (i j : R) :
    rawPair E i j (TreeData.encode (E i)) (TreeData.encode (E j))=encodeEnv E := by
  funext k
  cases k with
  | inr k => simp [rawPair,encodeEnv]
  | inl k => by_cases hi : k=i <;> by_cases hj : k=j <;> simp_all [rawPair,encodeEnv]
lemma put3_raw_left (E : Env R) (i j : R) (hij : i≠j) (A B F : List Bool) :
    put3 (rawPair E i j A B) (.inl i) (.inr 0) (.inr 1) F [] []=rawPair E i j F B := by
  funext k
  cases k with
  | inr k => fin_cases k <;> simp [put3,rawPair,encodeEnv]
  | inl k => by_cases hi : k=i <;> by_cases hj : k=j <;> simp_all [put3,rawPair]
lemma put3_raw_right (E : Env R) (i j : R) (hij : i≠j) (A B F : List Bool) :
    put3 (rawPair E i j A B) (.inl j) (.inr 0) (.inr 1) F [] []=rawPair E i j A F := by
  funext k
  cases k with
  | inr k => fin_cases k <;> simp [put3,rawPair,encodeEnv]
  | inl k => by_cases hi : k=i <;> by_cases hj : k=j <;> simp_all [put3,rawPair]
lemma on_left (P : Proc (Fin 3)) (E : Env R) (i j : R) (hij : i≠j) (A B F : List Bool) (n : ℕ)
    (h : Exec P ![A,[],[]] ![F,[],[]] n) :
    Exec (reindex P (singleEmbedding i)) (rawPair E i j A B) (rawPair E i j F B) n := by
  have hh:=exec_on P (.inl i : K R) (.inr 0) (.inr 1) (by simp) (by simp) (by simp)
    (rawPair E i j A B) F [] [] n
  rw [rawPair_left E i j hij,rawPair_scratch,rawPair_scratch] at hh
  simpa only [singleEmbedding,put3_raw_left E i j hij] using hh h
lemma on_right (P : Proc (Fin 3)) (E : Env R) (i j : R) (hij : i≠j) (A B F : List Bool) (n : ℕ)
    (h : Exec P ![B,[],[]] ![F,[],[]] n) :
    Exec (reindex P (singleEmbedding j)) (rawPair E i j A B) (rawPair E i j A F) n := by
  have hh:=exec_on P (.inl j : K R) (.inr 0) (.inr 1) (by simp) (by simp) (by simp)
    (rawPair E i j A B) F [] [] n
  rw [rawPair_right,rawPair_scratch,rawPair_scratch] at hh
  simpa only [singleEmbedding,put3_raw_right E i j hij] using hh h
lemma on_pair (P : Proc (Fin 3)) (E : Env R) (i j : R) (hij : i≠j) (A B F G : List Bool) (n : ℕ)
    (h : Exec P ![A,B,[]] ![F,G,[]] n) :
    Exec (reindex P (pairEmbedding i j hij)) (rawPair E i j A B) (rawPair E i j F G) n := by
  have hh:=exec_on P (.inl i : K R) (.inl j) (.inr 0) (by simpa) (by simp) (by simp)
    (rawPair E i j A B) F G [] n
  rw [rawPair_left E i j hij,rawPair_right,rawPair_scratch] at hh
  have he : put3 (rawPair E i j A B) (.inl i) (.inl j) (.inr 0) F G []=rawPair E i j F G := by
    funext k
    cases k with
    | inr k => fin_cases k <;> simp [put3,rawPair,encodeEnv]
    | inl k => by_cases hi : k=i <;> by_cases hj : k=j <;> simp_all [put3,rawPair]
  exact he ▸ hh h

end MatchingFPRAS.TreeArithmetic

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_TreeCompare
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.BinaryArithmeticProc
open RegisterProc TreeData Turing

def pickLt : Proc (Fin 3) := atom
  (.pop 2 (fun _ x=>x) (.pop 2 (fun x _=>x)
    (.branch (fun x=>x.getD false)
      (.push 0 (fun _=>false) (.push 0 (fun _=>false) (.push 0 (fun _=>true)
        (.load (fun _=>none) .halt))))
      (.push 0 (fun _=>false) (.load (fun _=>none) .halt)))))
lemma pickLt_exec (c : Ordering) :
    Exec pickLt ![[],[],StackCompare.flags c] ![encode (bit (decide (c=.lt))),[],[]] 1 := by
  apply exec_atom
  cases c <;> simp [TM2.stepAux,StackCompare.flags,encode,bit]
  all_goals funext k; fin_cases k <;> simp

def less : Proc (Fin 3) := seq compare pickLt
lemma less_exec (A B : List Bool) :
    Exec less ![A,B,[]] ![encode (bit (decide (StackAddition.value A<StackAddition.value B))),[],[]]
      (A.length+B.length+2) := by
  have hh:=(compare_exec A B).seq (pickLt_exec (Ord.compare (StackAddition.value A) (StackAddition.value B)))
  simp only [compare_lt_iff_lt] at hh
  exact hh.mono (by omega)
end MatchingFPRAS.BinaryArithmeticProc

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_RegisterControl
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.RegisterControl
open TreeData TreeMachine RegisterProc Turing MachineCost

variable {R Λ : Type} [DecidableEq R]
inductive Instr (R Λ : Type) where
  | halt
  | go (next : Λ)
  | branch (i : R) (nil cons : Λ)
  | call (P : Proc (K R)) (next : Λ)

def procedure : Instr R Λ → Proc (K R)
  | .call P _ => P
  | _ => atom .halt
def successor : Instr R Λ → Option Λ
  | .call _ l => some l
  | _ => none
abbrev Label (M : Λ → Instr R Λ) := Λ ⊕ ((l : Λ) × (procedure (M l)).Label)
instance instFintypeLabel (M : Λ → Instr R Λ) [Fintype Λ] : Fintype (Label M) := by unfold Label; infer_instance

def code (M : Λ → Instr R Λ) : Label M → TM2.Stmt (fun _ : K R=>Bool) (Label M) Store
  | .inl l => match M l with
    | .halt => .halt
    | .go k => .goto (fun _=>.inl k)
    | .branch i a b => .peek (.inl i) (fun _ x=>x) (.branch (fun x=>x.getD false)
        (.load (fun _=>none) (.goto (fun _=>.inl b)))
        (.load (fun _=>none) (.goto (fun _=>.inl a))))
    | .call _ _ => .goto (fun _=>.inr ⟨l,default⟩)
  | .inr ⟨l,u⟩ => StackComposition.relabel (fun u=>.inr ⟨l,u⟩)
      ((successor (M l)).map Sum.inl) ((procedure (M l)).code u)
def compile [Fintype Λ] [Inhabited Λ] (M : Λ → Instr R Λ) : Proc (K R) :=
  { Label := Label M
    entry := ⟨.inl default⟩
    code := code M }
def cfg (M : Λ → Instr R Λ) (l : Option Λ) (E : Env R) : TM2.Cfg (fun _ : K R=>Bool) (Label M) Store :=
  ⟨l.map Sum.inl,none,encodeEnv E⟩

inductive Effect : Instr R Λ → Env R → Option Λ → Env R → ℕ → Prop
  | halt (E) : Effect .halt E none E 1
  | go (E l) : Effect (.go l) E (some l) E 1
  | nilBranch (E i l r) (h : E i=.nil) : Effect (.branch i l r) E (some l) E 1
  | consBranch (E i l r x y) (h : E i=.cons x y) : Effect (.branch i l r) E (some r) E 1
  | call (P E F l n) (h : Exec P (encodeEnv E) (encodeEnv F) n) : Effect (.call P l) E (some l) F (n+1)

lemma effect_compiles (M : Λ → Instr R Λ) (l : Λ) (I : Instr R Λ) (hI : M l=I)
    (E F : Env R) (next : Option Λ) (n : ℕ) (h : Effect I E next F n) :
    ∃ k≤n,MachineCost.run (TM2.step (code M)) k (cfg M (some l) E)=cfg M next F := by
  cases h with
  | halt E =>
    refine ⟨1,le_rfl,?_⟩
    simp only [MachineCost.run,advance,TM2.step,cfg,Option.map_some,code,hI,TM2.stepAux,
      Option.getD_some,Option.map_none]
  | go E a =>
    refine ⟨1,le_rfl,?_⟩
    simp only [MachineCost.run,advance,TM2.step,cfg,Option.map_some,code,hI,TM2.stepAux,Option.getD_some]
  | nilBranch E i a b hi =>
    refine ⟨1,le_rfl,?_⟩
    simp only [MachineCost.run,advance,TM2.step,cfg,Option.map_some,code,hI,TM2.stepAux,
      encodeEnv,hi,encode,List.head?_cons,Option.getD_some,Bool.cond_false]
  | consBranch E i a b x y hi =>
    refine ⟨1,le_rfl,?_⟩
    simp only [MachineCost.run,advance,TM2.step,cfg,Option.map_some,code,hI,TM2.stepAux,
      encodeEnv,hi,encode,List.head?_cons,Option.getD_some,Bool.cond_true]
  | call P E F a n hp =>
    have hp' : Exec (procedure (M l)) (encodeEnv E) (encodeEnv F) n := by simpa only [hI,procedure] using hp
    obtain ⟨j,hj,he⟩:=hp'
    obtain ⟨k,hk,hs⟩:=StackComposition.run_relabel_to_halt (procedure (M l)).code (code M)
      (fun u=>Sum.inr ⟨l,u⟩) ((successor (M l)).map Sum.inl) (fun _=>rfl)
      j ⟨some default,none,encodeEnv E⟩ none (encodeEnv F) he
    refine ⟨k+1,by omega,?_⟩
    rw [MachineCost.run]
    have ha : advance (TM2.step (code M)) (cfg M (some l) E)=
        StackComposition.mapCfg (fun u=>Sum.inr ⟨l,u⟩) ((successor (M l)).map Sum.inl)
          ⟨some default,none,encodeEnv E⟩ := by
      simp only [advance,TM2.step,cfg,Option.map_some,code,hI,TM2.stepAux,Option.getD_some,
        StackComposition.mapCfg_some]
    rw [ha,hs]
    simp only [cfg,hI,successor,Option.map_some]

inductive Runs (M : Λ → Instr R Λ) : Option Λ → Env R → Env R → ℕ → Prop
  | done (E) : Runs M none E E 0
  | step (l E next F G n k) (h : Effect (M l) E next F k)
      (rest : Runs M next F G n) : Runs M (some l) E G (k+n)
  | weaken (l : Option Λ) (E F : Env R) (n b : ℕ) (h : Runs M l E F n) (hn : n ≤ b) : Runs M l E F b
lemma runs_compiles (M : Λ → Instr R Λ) (n : ℕ) (l : Option Λ) (E F : Env R)
    (h : Runs M l E F n) :
    ∃ k≤n,MachineCost.run (TM2.step (code M)) k (cfg M l E)=cfg M none F := by
  induction h with
  | done E => exact ⟨0,le_rfl,rfl⟩
  | step l E next F G n k h rest ih =>
    obtain ⟨i,hi,he⟩:=effect_compiles M l (M l) rfl E F next k h
    obtain ⟨j,hj,hf⟩:=ih
    exact ⟨i+j,Nat.add_le_add hi hj,by rw [run_add,he,hf]⟩
  | weaken l E F n m h hnm ih => obtain ⟨k,hk,he⟩:=ih; exact ⟨k,hk.trans hnm,he⟩
lemma compile_exec [Fintype Λ] [Inhabited Λ] (M : Λ → Instr R Λ) (n : ℕ) (E F : Env R)
    (h : Runs M (some default) E F n) : Exec (compile M) (encodeEnv E) (encodeEnv F) n :=
  runs_compiles M n (some default) E F h
end MatchingFPRAS.RegisterControl

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_RegisterStructured
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.RegisterStructured
open RegisterProc TreeData TreeMachine RegisterControl

variable {R : Type} [DecidableEq R]

inductive Select where | test | left | right | halt deriving DecidableEq, Inhabited
instance instFintypeSelect : Fintype Select := ⟨{.test,.left,.right,.halt},by intro s; cases s <;> simp⟩
def selectCode (i : R) (P Q : Proc (K R)) : Select → RegisterControl.Instr R Select
  | .test => .branch i .left .right
  | .left => .call P .halt
  | .right => .call Q .halt
  | .halt => .halt
def select (i : R) (P Q : Proc (K R)) : Proc (K R) := compile (selectCode i P Q)
lemma select_nil (i : R) (P Q : Proc (K R)) (E F : Env R) (n : ℕ)
    (hi : E i=.nil) (h : Exec P (encodeEnv E) (encodeEnv F) n) :
    Exec (select i P Q) (encodeEnv E) (encodeEnv F) (n+3) := by
  have hh : RegisterControl.Runs (selectCode i P Q) (some Select.halt) F F 1 :=
    Runs.step _ _ _ _ _ 0 1 (Effect.halt _) (Runs.done _)
  have hl : RegisterControl.Runs (selectCode i P Q) (some Select.left) E F ((n+1)+1) :=
    Runs.step _ _ _ _ _ _ _ (Effect.call _ _ _ _ n h) hh
  have ht : RegisterControl.Runs (selectCode i P Q) (some Select.test) E F (1+((n+1)+1)) :=
    Runs.step _ _ _ _ _ _ _ (Effect.nilBranch E i _ _ hi) hl
  exact (compile_exec _ _ _ _ ht).mono (by omega)
lemma select_cons (i : R) (P Q : Proc (K R)) (E F : Env R) (n : ℕ) (x y : Data)
    (hi : E i=.cons x y) (h : Exec Q (encodeEnv E) (encodeEnv F) n) :
    Exec (select i P Q) (encodeEnv E) (encodeEnv F) (n+3) := by
  have hh : RegisterControl.Runs (selectCode i P Q) (some Select.halt) F F 1 :=
    Runs.step _ _ _ _ _ 0 1 (Effect.halt _) (Runs.done _)
  have hr : RegisterControl.Runs (selectCode i P Q) (some Select.right) E F ((n+1)+1) :=
    Runs.step _ _ _ _ _ _ _ (Effect.call _ _ _ _ n h) hh
  have ht : RegisterControl.Runs (selectCode i P Q) (some Select.test) E F (1+((n+1)+1)) :=
    Runs.step _ _ _ _ _ _ _ (Effect.consBranch E i _ _ x y hi) hr
  exact (compile_exec _ _ _ _ ht).mono (by omega)

end MatchingFPRAS.RegisterStructured

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_TreeFunction
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeFunction
open TreeData TreeMachine RegisterProc

abbrev Reg := Fin 10
def env (x y s : Data) : Env Reg := fun i=>if i=0 then x else if i=1 then y else if i=2 then s else .nil
@[simp] lemma env0 (x y s : Data) : env x y s 0=x := rfl
@[simp] lemma env1 (x y s : Data) : env x y s 1=y := rfl
@[simp] lemma env2 (x y s : Data) : env x y s 2=s := rfl
def size (x : Data) : ℕ := (TreeData.encode x).length
@[simp] lemma size_nil : size .nil=1 := rfl
@[simp] lemma size_cons (x y : Data) : size (.cons x y)=size x+size y+1 := by
  simp [size,TreeData.encode]

lemma env_update0 (x y s a : Data) : Function.update (env x y s) 0 a=env a y s := by
  funext i; fin_cases i <;> simp [env]
lemma env_update1 (x y s a : Data) : Function.update (env x y s) 1 a=env x a s := by
  funext i; fin_cases i <;> simp [env]
lemma env_update2 (x y s a : Data) : Function.update (env x y s) 2 a=env x y a := by
  funext i; fin_cases i <;> simp [env]
attribute [simp] env_update0 env_update1 env_update2

def clear (i : Reg) : Proc (K Reg) := procedure (.nil i ())
def copy (i j : Reg) (h : i≠j) : Proc (K Reg) := procedure (.copy i j h ())
def cons (i j : Reg) (h : i≠j) : Proc (K Reg) := procedure (.cons i j h ())
def split (i j : Reg) (h : i≠j) : Proc (K Reg) := procedure (.split i j h ())

lemma copy01 (x y s : Data) :
    Exec (copy 0 1 (by decide)) (encodeEnv (env x y s)) (encodeEnv (env x x s)) (size y+3*size x+4) := by
  simpa only [putPair,env_update0,env_update1,env0,env1,size,copy] using copy_exec (env x y s) 0 1 (by decide) ()
lemma copy10 (x y s : Data) :
    Exec (copy 1 0 (by decide)) (encodeEnv (env x y s)) (encodeEnv (env y y s)) (size x+3*size y+4) := by
  simpa only [putPair,env_update0,env_update1,env0,env1,size,copy] using copy_exec (env x y s) 1 0 (by decide) ()
lemma cons12 (x y s : Data) :
    Exec (cons 1 2 (by decide)) (encodeEnv (env x y s)) (encodeEnv (env x .nil (.cons y s))) (2*size y+3) := by
  simpa only [putPair,env_update1,env_update2,env1,env2,size,cons] using cons_exec (env x y s) 1 2 (by decide) ()
lemma cons02 (x y s : Data) :
    Exec (cons 0 2 (by decide)) (encodeEnv (env x y s)) (encodeEnv (env .nil y (.cons x s))) (2*size x+3) := by
  simpa only [putPair,env_update0,env_update2,env0,env2,size,cons] using cons_exec (env x y s) 0 2 (by decide) ()
lemma cons10 (x y s : Data) :
    Exec (cons 1 0 (by decide)) (encodeEnv (env x y s)) (encodeEnv (env (.cons y x) .nil s)) (2*size y+3) := by
  simpa only [putPair,env_update0,env_update1,env0,env1,size,cons] using cons_exec (env x y s) 1 0 (by decide) ()
lemma split12 (x y a s : Data) :
    Exec (split 1 2 (by decide)) (encodeEnv (env x y (.cons a s))) (encodeEnv (env x a s)) (size y+2*size a+4) := by
  simpa only [putPair,env_update1,env_update2,env1,env2,size,split] using split_exec (env x y (.cons a s)) 1 2 (by decide) () a s rfl
lemma split10 (x y z s : Data) :
    Exec (split 1 0 (by decide)) (encodeEnv (env (.cons x y) z s)) (encodeEnv (env y x s)) (size z+2*size x+4) := by
  simpa only [putPair,env_update0,env_update1,env0,env1,size,split] using split_exec (env (.cons x y) z s) 1 0 (by decide) () x y rfl
lemma clear0 (x y s : Data) :
    Exec (clear 0) (encodeEnv (env x y s)) (encodeEnv (env .nil y s)) (size x+2) := by
  simpa only [env_update0,env0,size,clear] using nil_exec (env x y s) 0 ()
lemma clear1 (x y s : Data) :
    Exec (clear 1) (encodeEnv (env x y s)) (encodeEnv (env x .nil s)) (size y+2) := by
  simpa only [env_update1,env1,size,clear] using nil_exec (env x y s) 1 ()

def pair (P Q : Proc (K Reg)) : Proc (K Reg) :=
  seq (copy 0 1 (by decide)) (seq (cons 1 2 (by decide)) (seq P
    (seq (split 1 2 (by decide)) (seq (cons 0 2 (by decide))
      (seq (copy 1 0 (by decide)) (seq (clear 1) (seq Q
        (seq (split 1 2 (by decide)) (cons 1 0 (by decide))))))))))

end MatchingFPRAS.TreeFunction

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_TreeTyped
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeTyped
open TreeData TreeMachine RegisterProc TreeFunction

class Codec (A : Type) where
  encode : A → Data
export Codec (encode)
instance instCodecData : Codec Data := ⟨id⟩
instance instCodecNat : Codec ℕ := ⟨nat⟩
instance instCodecBool : Codec Bool := ⟨bit⟩
instance instCodecProd {A B : Type} [Codec A] [Codec B] : Codec (A×B) := ⟨fun x=>.cons (encode x.1) (encode x.2)⟩
instance instCodecList {A : Type} [Codec A] : Codec (List A) := ⟨fun x=>ofList (x.map encode)⟩
@[simp] lemma encode_prod {A B : Type} [Codec A] [Codec B] (a : A) (b : B) :
    encode (a,b)=.cons (encode a) (encode b) := rfl
@[simp] lemma encode_list_nil {A : Type} [Codec A] : encode ([] : List A)=.nil := rfl
@[simp] lemma encode_list_cons {A : Type} [Codec A] (a : A) (as : List A) :
    encode (a::as)=.cons (encode a) (encode as) := rfl

def Realizes {A B : Type} [Codec A] [Codec B] (P : Proc (K Reg)) (f : A → B) (t : A → ℕ) : Prop :=
  ∀ a s,Exec P (encodeEnv (env (encode a) .nil s)) (encodeEnv (env (encode (f a)) .nil s)) (t a)
structure Realizer {A B : Type} [Codec A] [Codec B] (f : A → B) where
  program : Proc (K Reg)
  cost : A → ℕ
  correct : Realizes program f cost

variable {A B C : Type} [Codec A] [Codec B] [Codec C]

def composition {f : A → B} {g : B → C} (F : Realizer f) (G : Realizer g) : Realizer (g ∘ f) :=
  ⟨seq F.program G.program,fun a=>F.cost a+G.cost (f a),fun a s=>(F.correct a s).seq (G.correct (f a) s)⟩

def pair {f : A → B} {g : A → C} (F : Realizer f) (G : Realizer g) : Realizer (fun a=>(f a,g a)) where
  program := TreeFunction.pair F.program G.program
  cost := fun a=>F.cost a+G.cost a+11*TreeFunction.size (encode a)+6*TreeFunction.size (encode (f a))+31
  correct := by
    intro a s
    have h1:=copy01 (encode a) .nil s
    have h2:=cons12 (encode a) (encode a) s
    have h3:=F.correct a (.cons (encode a) s)
    have h4:=split12 (encode (f a)) .nil (encode a) s
    have h5:=cons02 (encode (f a)) (encode a) s
    have h6:=copy10 .nil (encode a) (.cons (encode (f a)) s)
    have h7:=clear1 (encode a) (encode a) (.cons (encode (f a)) s)
    have h8:=G.correct a (.cons (encode (f a)) s)
    have h9:=split12 (encode (g a)) .nil (encode (f a)) s
    have h10:=cons10 (encode (g a)) (encode (f a)) s
    apply (h1.seq (h2.seq (h3.seq (h4.seq (h5.seq (h6.seq (h7.seq (h8.seq (h9.seq h10))))))))).mono
    simp only [size_nil]
    omega

def identity : Realizer (id : A → A) :=
  ⟨atom .halt,fun _=>1,fun _ _=>exec_atom .halt _ _ rfl⟩

def first : Realizer (Prod.fst : A×B → A) where
  program := seq (TreeFunction.split 1 0 (by decide))
    (seq (TreeFunction.copy 1 0 (by decide)) (TreeFunction.clear 1))
  cost := fun ab=>6*TreeFunction.size (encode ab.1)+TreeFunction.size (encode ab.2)+11
  correct := by
    intro ⟨a,b⟩ s
    have h1:=split10 (encode a) (encode b) .nil s
    have h2:=copy10 (encode b) (encode a) s
    have h3:=clear1 (encode a) (encode a) s
    apply (h1.seq (h2.seq h3)).mono
    simp only [size_nil]; omega

end MatchingFPRAS.TreeTyped

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_TreeChoice
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeFunction
open TreeData TreeMachine RegisterProc

lemma split02 (x y a s : Data) :
    Exec (split 0 2 (by decide)) (encodeEnv (env x y (.cons a s)))
      (encodeEnv (env a y s)) (size x+2*size a+4) := by
  simpa only [putPair,env_update0,env_update2,env0,env2,size,split] using
    split_exec (env x y (.cons a s)) 0 2 (by decide) () a s rfl
end MatchingFPRAS.TreeFunction

namespace MatchingFPRAS.TreeTyped
open TreeData TreeMachine RegisterProc TreeFunction

variable {A B C : Type} [Codec A] [Codec B] [Codec C]

def choose {f : A → Bool} {g h : A → B} (F : Realizer f) (G : Realizer g) (H : Realizer h) :
    Realizer (fun a=>if f a then g a else h a) where
  program := seq (TreeFunction.copy 0 1 (by decide)) (seq (TreeFunction.cons 1 2 (by decide))
    (seq F.program (RegisterStructured.select 0
      (seq (TreeFunction.split 0 2 (by decide)) H.program)
      (seq (TreeFunction.split 0 2 (by decide)) G.program))))
  cost := fun a=>F.cost a+(if f a then G.cost a else H.cost a)+7*TreeFunction.size (encode a)+18
  correct := by
    intro a s
    have h1:=copy01 (encode a) .nil s
    have h2:=cons12 (encode a) (encode a) s
    have h3:=F.correct a (.cons (encode a) s)
    have h4:=split02 (encode (f a)) .nil (encode a) s
    have hs : TreeFunction.size (encode (f a)) ≤ 3 := by
      cases f a <;> simp [Codec.encode,bit]
    cases hf : f a
    · have h5:=H.correct a s
      have hh:=RegisterStructured.select_nil 0 _ (seq (TreeFunction.split 0 2 (by decide)) G.program) (env (encode (f a)) .nil (.cons (encode a) s))
        (env (encode (h a)) .nil s) _ (by simp [hf,Codec.encode,bit]) (h4.seq h5)
      simp only [hf,Bool.false_eq_true,↓reduceIte]
      apply (h1.seq (h2.seq (h3.seq hh))).mono
      simp only [hf]
      simp only [size_nil]
      rw [hf] at hs
      omega
    · have h5:=G.correct a s
      have hh:=RegisterStructured.select_cons 0 (seq (TreeFunction.split 0 2 (by decide)) H.program) _ (env (encode (f a)) .nil (.cons (encode a) s))
        (env (encode (g a)) .nil s) _ .nil .nil (by simp [hf,Codec.encode,bit]) (h4.seq h5)
      simp only [hf,↓reduceIte]
      apply (h1.seq (h2.seq (h3.seq hh))).mono
      simp only [hf]
      simp only [size_nil]
      rw [hf] at hs
      omega

def constantData (x : Data) : Realizer (fun _ : A => x) :=
  match x with
  | .nil => ⟨TreeFunction.clear 0,fun a=>TreeFunction.size (encode a)+2,fun a s=>clear0 (encode a) .nil s⟩
  | .cons x y =>
    let P : Realizer (fun _ : A => (x,y)) := pair (constantData x) (constantData y)
    ⟨P.program,P.cost,P.correct⟩

def constant (b : B) : Realizer (fun _ : A=>b) :=
  let P : Realizer (fun _ : A=>encode b) := constantData (encode b)
  ⟨P.program,P.cost,P.correct⟩
end MatchingFPRAS.TreeTyped

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_TreeFold
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeTyped
open TreeData TreeMachine RegisterProc TreeFunction

variable {A B : Type} [Codec A] [Codec B]
namespace Fold
open RegisterControl (Instr Runs Effect)

def heads (a b r s : Data) : Env Reg := Function.update (env b r s) 3 a
end Fold

end MatchingFPRAS.TreeTyped

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_TreeList
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeTyped
open TreeData TreeMachine RegisterProc TreeFunction

variable {A B C : Type} [Codec A] [Codec B] [Codec C]
def Realizer.congr {f g : A → B} (F : Realizer f) (h : ∀ a,f a=g a) : Realizer g :=
  ⟨F.program,F.cost,fun a s=>by simpa only [h a] using F.correct a s⟩

end MatchingFPRAS.TreeTyped

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_BinarySubtract
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.StackSubtract
open Turing MachineCost StackAddition

def borrow (c a b : Bool) : Bool := decide (a.toNat < b.toNat+c.toNat)

def subDigits (c : Bool) (A B : List Bool) : Bool × List Bool :=
  match A,B with
  | [],[] => (c,[])
  | a::A,[] => let r:=subDigits (borrow c a false) A []; (r.1,digit c a false::r.2)
  | [],b::B => let r:=subDigits (borrow c false b) [] B; (r.1,digit c false b::r.2)
  | a::A,b::B => let r:=subDigits (borrow c a b) A B; (r.1,digit c a b::r.2)
termination_by A.length+B.length

lemma subDigits_length (A B : List Bool) (c : Bool) :
    (subDigits c A B).2.length=max A.length B.length := by
  induction A generalizing B c with
  | nil =>
    induction B generalizing c with
    | nil => simp [subDigits]
    | cons b B ih => simp [subDigits,ih]
  | cons a A ih =>
    cases B with
    | nil => simp [subDigits,ih]
    | cons b B => simp [subDigits,ih,max_add_add_right]

def program (c : Bool) : TM2.Stmt (fun _ : Fin 3=>Bool) Bool Store :=
  .pop 0 (fun v a=>(a,v.2)) (.pop 1 (fun v b=>(v.1,b))
    (.branch (fun v=>v.1.isNone && v.2.isNone)
      (.load (fun _=>default) .halt)
      (.push 2 (fun v=>digit c (v.1.getD false) (v.2.getD false))
        (.goto (fun v=>borrow c (v.1.getD false) (v.2.getD false))))))
def cfg (c : Option Bool) (A B L : List Bool) (v : Store) :
    TM2.Cfg (fun _ : Fin 3=>Bool) Bool Store := ⟨c,v,stackData A B L⟩
lemma step_empty (c : Bool) (L : List Bool) (v : Store) :
    advance (TM2.step program) (cfg (some c) [] [] L v)=cfg none [] [] L default := by
  simp [advance,TM2.step,program,TM2.stepAux,cfg,update_zero,update_one]
lemma step_digits (c : Bool) (A B L : List Bool) (v : Store) (h : A ≠ [] ∨ B ≠ []) :
    advance (TM2.step program) (cfg (some c) A B L v)=
      cfg (some (borrow c (A.headD false) (B.headD false))) A.tail B.tail
        (digit c (A.headD false) (B.headD false)::L) (A.head?,B.head?) := by
  cases A <;> cases B <;> simp_all [advance,TM2.step,program,TM2.stepAux,cfg,
    update_zero,update_one,update_two]
lemma subDigits_step (c : Bool) (A B : List Bool) (h : A ≠ [] ∨ B ≠ []) :
    (subDigits c A B).2 = digit c (A.headD false) (B.headD false)::
      (subDigits (borrow c (A.headD false) (B.headD false)) A.tail B.tail).2 := by
  cases A <;> cases B <;> simp_all [subDigits]

theorem run_subtraction (A B L : List Bool) (c : Bool) (v : Store) :
    ∃ t≤A.length+B.length+1,MachineCost.run (TM2.step program) t (cfg (some c) A B L v)=
      cfg none [] [] ((subDigits c A B).2.reverse++L) default := by
  have aux : ∀ n (A B : List Bool),A.length+B.length=n → ∀ (c : Bool) (L : List Bool) (v : Store),
      ∃ t≤A.length+B.length+1,MachineCost.run (TM2.step program) t (cfg (some c) A B L v)=
        cfg none [] [] ((subDigits c A B).2.reverse++L) default := by
    intro n
    induction n using Nat.strong_induction_on with
    | h n ih =>
      intro A B hn c L v
      by_cases he : A=[] ∧ B=[]
      · rcases he with ⟨rfl,rfl⟩
        refine ⟨1,by simp,?_⟩
        simpa only [MachineCost.run,subDigits,List.reverse_nil,List.nil_append] using step_empty c L v
      · have hne : A≠[] ∨ B≠[] := by tauto
        have hlt : A.tail.length+B.tail.length<n := by
          cases A <;> cases B <;> simp_all
          all_goals omega
        obtain ⟨t,ht,hr⟩:=ih _ hlt A.tail B.tail rfl
          (borrow c (A.headD false) (B.headD false))
          (digit c (A.headD false) (B.headD false)::L) (A.head?,B.head?)
        refine ⟨t+1,by omega,?_⟩
        rw [MachineCost.run,step_digits c A B L v hne,hr,subDigits_step c A B hne]
        simp only [List.reverse_cons,List.append_assoc,List.singleton_append]
  exact aux _ A B rfl c L v
end MatchingFPRAS.StackSubtract

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_SubtractProc
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.ForwardSubtract
open Turing MachineCost StackAddition StackSubtract

local instance initialControl : Inhabited (Bool⊕Unit) := ⟨.inl false⟩
abbrev Γ := fun _ : Fin 3 => Bool
def program : Bool⊕Unit → TM2.Stmt Γ (Bool⊕Unit) Store :=
  StackComposition.sequence StackSubtract.program ForwardAddition.reverseProgram
lemma run_sub (A B : List Bool) :
    ∃ k≤2*(A.length+B.length)+2,
      MachineCost.run (TM2.step program) k ⟨some default,default,stackData A B []⟩=
        ⟨none,default,stackData ((subDigits false A B).2) [] []⟩ := by
  obtain ⟨n,hn,he⟩:=run_subtraction A B [] false default
  have he' : MachineCost.run (TM2.step StackSubtract.program) n
      (StackSubtract.cfg (some false) A B [] default)=StackSubtract.cfg none [] [] ((subDigits false A B).2).reverse default := by
    simpa only [List.append_nil] using he
  have hr := ForwardAddition.run_reverse [] [] ((subDigits false A B).2).reverse default
  have hr' : MachineCost.run (TM2.step ForwardAddition.reverseProgram) (((subDigits false A B).2).length+1)
      ⟨some default,default,stackData [] [] ((subDigits false A B).2).reverse⟩=
      ⟨none,default,stackData ((subDigits false A B).2) [] []⟩ := by
    simpa only [ForwardAddition.rcfg,List.length_reverse,List.reverse_reverse,List.append_nil] using hr
  obtain ⟨k,hk,hkrun⟩:=StackComposition.sequence_run StackSubtract.program ForwardAddition.reverseProgram
    (StackSubtract.cfg (some false) A B [] default) n (((subDigits false A B).2).length+1)
    (default : Store) (default : Store) (stackData [] [] ((subDigits false A B).2).reverse)
      (stackData ((subDigits false A B).2) [] []) he' hr'
  refine ⟨k,?_,?_⟩
  · have hl:=subDigits_length A B false
    omega
  · exact hkrun
end MatchingFPRAS.ForwardSubtract

namespace MatchingFPRAS.BinaryArithmeticProc
open RegisterProc Turing

local instance subEntry : Inhabited (Bool⊕Unit) := ⟨.inl false⟩
def sub : Proc (Fin 3) := FiniteStore.procedure ForwardSubtract.program (default : StackAddition.Store)
lemma sub_exec (A B : List Bool) :
    Exec sub ![A,B,[]] ![(StackSubtract.subDigits false A B).2,[],[]] (2*(A.length+B.length)+2) := by
  obtain ⟨n,hn,he⟩:=ForwardSubtract.run_sub A B
  exact (FiniteStore.exec ForwardSubtract.program default default _ _ n he).mono hn
end MatchingFPRAS.BinaryArithmeticProc

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_TreeFraction
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeFraction
open TreeTyped

abbrev Fraction := ℕ×ℕ

def normalize (x : Fraction) : Fraction :=
  if x.2=0 then (0,1) else (x.1/(x.1.gcd x.2),x.2/(x.1.gcd x.2))

def mul (x : Fraction×Fraction) : Fraction := normalize (x.1.1*x.2.1,x.1.2*x.2.2)

def add (x : Fraction×Fraction) : Fraction :=
  normalize (x.1.1*x.2.2+x.2.1*x.1.2,x.1.2*x.2.2)

def div (x : Fraction×Fraction) : Fraction := normalize (x.1.1*x.2.2,x.1.2*x.2.1)

end MatchingFPRAS.TreeFraction

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Algorithm_TreeScaling
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.ExecutableScaling
open TreeTyped TreeFraction Polynomial

abbrev Vector := List (ℕ×Fraction)
end MatchingFPRAS.ExecutableScaling

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_TreeFractionExtra
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeFraction
open TreeTyped Polynomial

def product (xs : List Fraction) : Fraction := xs.foldl (fun a b=>mul (b,a)) (1,1)
end MatchingFPRAS.TreeFraction

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_TreeSlotWeight
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.TreeFraction
open TreeTyped

def fuelPower (x : Fraction×List Bool) : Fraction := product (x.2.map (fun _=>x.1))
end MatchingFPRAS.TreeFraction

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Graphs_TreeGeometry
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.ExecutableSource
open TreeTyped Polynomial Enlargement RealGeometry

abbrev RawLogical := ℕ×ℕ
end MatchingFPRAS.ExecutableSource

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Arithmetic_TreeAdaptiveArithmetic
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.ExecutableAdaptive
open TreeTyped TreeFraction ExecutableScaling

abbrev ProbeTable := List ((ℕ×ℕ)×Fraction)
abbrev MatrixData := (ℕ×Fraction)×ProbeTable

def orderedPair (x : ℕ×ℕ) : ℕ×ℕ := if x.1<x.2 then x else (x.2,x.1)
end MatchingFPRAS.ExecutableAdaptive

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Algorithm_TreeStageActivity
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.ExecutableAdaptive
open TreeTyped TreeFraction ExecutableScaling ExecutableSource

abbrev GraphData := List ℕ×List RawLogical
abbrev ActivityData := (GraphData×List Bool)×Vector
abbrev CellData := (List RawLogical×Fraction)×Vector

def cooling (n : ℕ) : Fraction := div ((1,1),add ((1,1),div ((1,1),(n,1))))

def cellData (x : ActivityData) : CellData :=
  ((x.1.1.2,fuelPower (cooling x.1.1.1.length,x.1.2)),x.2)
end MatchingFPRAS.ExecutableAdaptive

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_PhysicalPost
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.PhysicalPost
open Turing

variable {Γ Q R : Type} [Inhabited Γ]

structure Cfg (Γ Q : Type) [Inhabited Γ] where
  state : Option Q
  tape : Tape Γ

abbrev Table (Γ Q : Type) := Q → Γ → Bool → Option (Q × TM0.Stmt Γ)

end MatchingFPRAS.PhysicalPost

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_CoinTM1
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.CoinTM1
open Turing MachineCost

variable {Γ Λ σ : Type} [Inhabited Γ]

abbrev Node (Γ Λ σ : Type) := Λ ⊕ TM1.Stmt Γ Λ σ
abbrev State (Γ Λ σ : Type) := Node Γ Λ σ × σ
abbrev Coins (Λ : Type) := Λ → Option (Bool → Λ)

def aux (a : Γ) : TM1.Stmt Γ Λ σ → σ → Option (State Γ Λ σ × TM0.Stmt Γ)
  | .move d q,v => some ((.inr q,v),.move d)
  | .write f q,v => some ((.inr q,v),.write (f a v))
  | .load f q,v => aux a q (f a v)
  | .branch f q r,v => if f a v then aux a q v else aux a r v
  | .goto f,v => some ((.inl (f a v),v),.write a)
  | .halt,_ => none

def table (M : Λ → TM1.Stmt Γ Λ σ) (coin : Coins Λ) : PhysicalPost.Table Γ (State Γ Λ σ)
  | (.inl l,v),a,b => match coin l with
    | none => aux a (M l) v
    | some f => some ((.inl (f b),v),.write a)
  | (.inr q,v),a,_ => aux a q v

def pending (q : TM1.Stmt Γ Λ σ) (v : σ) (T : Tape Γ) : PhysicalPost.Cfg Γ (State Γ Λ σ) :=
  ⟨some (.inr q,v),T⟩

def trCfg (c : TM1.Cfg Γ Λ σ) : PhysicalPost.Cfg Γ (State Γ Λ σ) :=
  ⟨c.l.map (fun l=>(Sum.inl l,c.var)),c.Tape⟩

end MatchingFPRAS.CoinTM1

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_PhysicalRestriction
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.PhysicalPost
open Turing

variable {Γ Q : Type} [Inhabited Γ]

def Supported (M : Table Γ Q) (S : Finset Q) : Prop :=
  ∀ q ∈ S, ∀ a b q' act,M q a b=some (q',act) → q'∈S

end MatchingFPRAS.PhysicalPost

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Machines_CoinTM1Finite
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.CoinTM1
open Turing
open scoped Classical

variable {Γ Λ σ : Type} [Inhabited Λ] [Fintype σ]

noncomputable def nodes (M : Λ → TM1.Stmt Γ Λ σ) (S : Finset Λ) : Finset (Node Γ Λ σ) :=
  S.disjSum (S.biUnion (fun l=>TM1.stmts₁ (M l)))
noncomputable def states (M : Λ → TM1.Stmt Γ Λ σ) (S : Finset Λ) : Finset (State Γ Λ σ) :=
  (nodes M S) ×ˢ Finset.univ

omit [Inhabited Λ] [Fintype σ] in
lemma node_entry {M : Λ → TM1.Stmt Γ Λ σ} {S : Finset Λ} {l : Λ} (h : l∈S) :
    Sum.inl l∈nodes M S := by simp only [nodes,Finset.inl_mem_disjSum]; exact h
omit [Inhabited Λ] [Fintype σ] in
lemma node_pending {M : Λ → TM1.Stmt Γ Λ σ} {S : Finset Λ} {q : TM1.Stmt Γ Λ σ}
    (h : some q∈TM1.stmts M S) : Sum.inr q∈nodes M S := by
  simpa only [nodes,Finset.inr_mem_disjSum,TM1.stmts,Finset.some_mem_insertNone] using h
omit [Inhabited Λ] in
lemma state_mem {M : Λ → TM1.Stmt Γ Λ σ} {S : Finset Λ} {q : Node Γ Λ σ} {v : σ}
    (h : q∈nodes M S) : (q,v)∈states M S := by
  simp only [states,Finset.mem_product,Finset.mem_univ,and_true]; exact h

lemma aux_supported {M : Λ → TM1.Stmt Γ Λ σ} {S : Finset Λ}
    (hs : TM1.Supports M S) (a : Γ) (q : TM1.Stmt Γ Λ σ)
    (hq : some q∈TM1.stmts M S) (v : σ) (q' : State Γ Λ σ) (act : TM0.Stmt Γ)
    (he : aux a q v=some (q',act)) : q'∈states M S := by
  classical
  induction q generalizing v q' act with
  | move d q ih =>
    simp only [aux,Option.some.injEq,Prod.mk.injEq] at he
    rcases he with ⟨rfl,rfl⟩
    apply state_mem
    apply node_pending
    exact TM1.stmts_trans (by simp only [TM1.stmts₁,Finset.mem_insert]; exact Or.inr TM1.stmts₁_self) hq
  | write f q ih =>
    simp only [aux,Option.some.injEq,Prod.mk.injEq] at he
    rcases he with ⟨rfl,rfl⟩
    apply state_mem
    apply node_pending
    exact TM1.stmts_trans (by simp only [TM1.stmts₁,Finset.mem_insert]; exact Or.inr TM1.stmts₁_self) hq
  | load f q ih =>
    exact ih (TM1.stmts_trans (by simp only [TM1.stmts₁,Finset.mem_insert]; exact Or.inr TM1.stmts₁_self) hq) _ _ _ he
  | branch f q r ihq ihr =>
    simp only [aux] at he
    split_ifs at he with hf
    · exact ihq (TM1.stmts_trans (by simp only [TM1.stmts₁,Finset.mem_insert,Finset.mem_union]; exact Or.inr (Or.inl TM1.stmts₁_self)) hq) _ _ _ he
    · exact ihr (TM1.stmts_trans (by simp only [TM1.stmts₁,Finset.mem_insert,Finset.mem_union]; exact Or.inr (Or.inr TM1.stmts₁_self)) hq) _ _ _ he
  | goto f =>
    simp only [aux,Option.some.injEq,Prod.mk.injEq] at he
    rcases he with ⟨rfl,rfl⟩
    exact state_mem (node_entry (TM1.stmts_supportsStmt hs hq a v))
  | halt => simp [aux] at he

theorem table_supported (M : Λ → TM1.Stmt Γ Λ σ) (S : Finset Λ) (hs : TM1.Supports M S)
    (coin : Coins Λ) (hc : ∀ l∈S,∀ f,coin l=some f→∀ b,f b∈S) :
    PhysicalPost.Supported (table M coin) (states M S) := by
  intro q hq a b q' act he
  have hn : q.1∈nodes M S := (Finset.mem_product.mp hq).1
  rcases q with ⟨l,v⟩
  cases l with
  | inl l =>
    have hl : l∈S := by simpa only [nodes,Finset.inl_mem_disjSum] using hn
    simp only [table] at he
    split at he
    · apply aux_supported hs a (M l) _ v q' act he
      simp only [TM1.stmts,Finset.some_mem_insertNone,Finset.mem_biUnion]
      exact ⟨l,hl,TM1.stmts₁_self⟩
    · rename_i f hf
      simp only [Option.some.injEq,Prod.mk.injEq] at he
      rcases he with ⟨rfl,rfl⟩
      exact state_mem (node_entry (hc l hl f hf b))
  | inr q =>
    apply aux_supported hs a q _ v q' act he
    simpa only [nodes,Finset.inr_mem_disjSum,TM1.stmts,Finset.some_mem_insertNone] using hn

end MatchingFPRAS.CoinTM1

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Tapes_CoinAlphabet
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.CoinAlphabet
open Turing TM1 TM1to1 MachineCost

variable {Γ Λ σ : Type} [Inhabited Γ]
def safe (p : Λ → Prop) : Λ' Γ Λ σ → Prop
  | .normal l => p l
  | .write _ _ => True

def coins (c : CoinTM1.Coins Λ) : CoinTM1.Coins (Λ' Γ Λ σ)
  | .normal l => (c l).map (fun f b=>.normal (f b))
  | .write _ _ => none

end MatchingFPRAS.CoinAlphabet

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Tapes_CoinStack
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.CoinStack
open Turing TM2to1 TM2to1.Λ' MachineCost

variable {K : Type} {Γ : K → Type} {Λ σ : Type} [DecidableEq K]

def safe (p : Λ → Prop) : Λ' K Γ Λ σ → Prop
  | .normal l => p l
  | .go _ _ _ | .ret _ => True

def coins (c : CoinTM1.Coins Λ) : CoinTM1.Coins (Λ' K Γ Λ σ)
  | .normal l => (c l).map (fun f b=>.normal (f b))
  | .go _ _ _ | .ret _ => none

end MatchingFPRAS.CoinStack

end OAI
end

section
-- module Solutions.OAIQ051_MC.MatchingCount_Tapes_CoinSupport
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

namespace MatchingFPRAS.CoinAlphabet
open Turing
open scoped Classical

variable {Γ Λ σ : Type} [Inhabited Γ] [Fintype Γ]
omit [Inhabited Γ] in
lemma normal_not_writes (l : Λ) (q : TM1.Stmt Γ Λ σ) : TM1to1.Λ'.normal l∉TM1to1.writes q := by
  induction q <;> simp_all [TM1to1.writes]
omit [Inhabited Γ] in
lemma normal_mem (M : Λ → TM1.Stmt Γ Λ σ) (S : Finset Λ) (l : Λ) :
    TM1to1.Λ'.normal l∈TM1to1.trSupp M S ↔ l∈S := by
  simp only [TM1to1.trSupp,Finset.mem_biUnion,Finset.mem_insert,TM1to1.Λ'.normal.injEq,
    normal_not_writes,or_false]
  constructor
  · rintro ⟨l',hl',rfl⟩; exact hl'
  · intro hl; exact ⟨l,hl,rfl⟩
omit [Inhabited Γ] in
lemma coins_supported (M : Λ → TM1.Stmt Γ Λ σ) (S : Finset Λ) (c : CoinTM1.Coins Λ)
    (hc : ∀ l∈S,∀ f,c l=some f→∀ b,f b∈S) :
    ∀ l∈TM1to1.trSupp M S,∀ f,coins c l=some f→∀ b,f b∈TM1to1.trSupp M S := by
  intro l hl f hf b
  cases l with
  | normal l =>
    have hl':= (normal_mem M S l).mp hl
    simp only [coins,Option.map_eq_some_iff] at hf
    obtain ⟨g,hg,rfl⟩:=hf
    exact (normal_mem M S (g b)).mpr (hc l hl' g hg b)
  | write a q => simp [coins] at hf
end MatchingFPRAS.CoinAlphabet

namespace MatchingFPRAS.CoinStack
open Turing TM2to1
open scoped Classical

variable {K : Type} {Γ : K → Type} {Λ σ : Type} [DecidableEq K]
omit [DecidableEq K] in
lemma normal_not_internal (l : Λ) (q : TM2.Stmt Γ Λ σ) : Λ'.normal l∉trStmts₁ q := by
  induction q using stmtStRec with
  | run k o q ih => simp_all [trStmts₁_run]
  | load f q ih => exact ih
  | branch f q r ihq ihr => simp_all [trStmts₁]
  | goto f => simp [trStmts₁]
  | halt => simp [trStmts₁]
omit [DecidableEq K] in
lemma normal_mem (M : Λ → TM2.Stmt Γ Λ σ) (S : Finset Λ) (l : Λ) :
    Λ'.normal l∈trSupp M S ↔ l∈S := by
  simp only [trSupp,Finset.mem_biUnion,Finset.mem_insert,Λ'.normal.injEq,
    normal_not_internal,or_false]
  constructor
  · rintro ⟨l',hl',rfl⟩; exact hl'
  · intro hl; exact ⟨l,hl,rfl⟩
omit [DecidableEq K] in
lemma coins_supported (M : Λ → TM2.Stmt Γ Λ σ) (S : Finset Λ) (c : CoinTM1.Coins Λ)
    (hc : ∀ l∈S,∀ f,c l=some f→∀ b,f b∈S) :
    ∀ l∈trSupp M S,∀ f,coins c l=some f→∀ b,f b∈trSupp M S := by
  intro l hl f hf b
  cases l with
  | normal l =>
    have hl':= (normal_mem M S l).mp hl
    simp only [coins,Option.map_eq_some_iff] at hf
    obtain ⟨g,hg,rfl⟩:=hf
    exact (normal_mem M S (g b)).mpr (hc l hl' g hg b)
  | go k o q => simp [coins] at hf
  | ret q => simp [coins] at hf
end MatchingFPRAS.CoinStack

end OAI
end
Source
OpenAI, A Fully Polynomial Randomized Approximation Scheme for Perfect Matchings in General Graphs (result family 113), OpenAI Math Release, September 23, 2026, https://github.com/openai/math (result family 113; paper: https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-Fully-Polynomial-Randomized-Approximation-Scheme-for-Perfect-Matchings-in-General-Graphs-September-23-2026/main.pdf; Apache License 2.0); definitions carved from lean/OAI/Combinatorics/MatchingCount at commit adc7f12

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