import Lean.Elab.Tactic.Omega import Mathlib.Data.Finset.Sum import OAI.Computability.BinPacking.Configurations.CoverageSoundness import OAI.Computability.BinPacking.Trees.CompetingTrees namespace OAI noncomputable section namespace BinPackingGap.SideChoice open UniformTree variable {α β : Type*} [DecidableEq α] [DecidableEq β] omit [DecidableEq α] [DecidableEq β] in theorem card_le_of_unique_hit [DecidableEq α] [DecidableEq β] (tuples : Finset α) (nodes : Finset β) (hits : α → β → Prop) (hcover : ∀ v ∈ nodes, ∃ t ∈ tuples, hits t v) (hunique : ∀ t ∈ tuples, ∀ v w, hits t v → hits t w → v = w) : nodes.card ≤ tuples.card := by classical let f : nodes → tuples := fun v => ⟨Classical.choose (hcover v.val v.property), (Classical.choose_spec (hcover v.val v.property)).1⟩ have hf : ∀ v : nodes, hits (f v).val v.val := fun v => (Classical.choose_spec (hcover v.val v.property)).2 apply Finset.card_le_card_of_injective (f := f) intro v w hvw apply Subtype.ext have ht : (f v).val = (f w).val := congrArg Subtype.val hvw apply hunique (f v).val (f v).property v.val w.val (hf v) rw [ht] exact hf w omit [DecidableEq α] [DecidableEq β] in theorem level_card_le_resources [DecidableEq α] [DecidableEq β] (selected : Finset α) (level : α → ℕ) (resource : α → β) (stock : Finset β) (ℓ q : ℕ) (hmap : ∀ t ∈ selected, level t = ℓ → resource t ∈ stock) (hinj : Set.InjOn resource (selected.filter fun t => level t = ℓ)) (hstock : stock.card ≤ q) : (selected.filter fun t => level t = ℓ).card ≤ q := by apply (Finset.card_le_card_of_injOn resource ?_ hinj).trans hstock intro t ht exact hmap t (Finset.mem_filter.mp ht).1 (Finset.mem_filter.mp ht).2 variable {d : ℕ} (T : CompetingTrees d) def taggedDepth : T.plus.Node ⊕ T.minus.Node → ℕ := Sum.elim depth depth def marksPlus (selected : Finset α) (hits : α → (T.plus.Node ⊕ T.minus.Node) → Prop) : Finset T.plus.Node := by classical exact Finset.univ.filter fun v => ∃ t ∈ selected, hits t (.inl v) def marksMinus (selected : Finset α) (hits : α → (T.plus.Node ⊕ T.minus.Node) → Prop) : Finset T.minus.Node := by classical exact Finset.univ.filter fun v => ∃ t ∈ selected, hits t (.inr v) omit [DecidableEq α] in @[simp] theorem mem_marksPlus [DecidableEq α] (selected : Finset α) (hits : α → (T.plus.Node ⊕ T.minus.Node) → Prop) (v : T.plus.Node) : v ∈ marksPlus T selected hits ↔ ∃ t ∈ selected, hits t (.inl v) := by classical simp [marksPlus] omit [DecidableEq α] in @[simp] theorem mem_marksMinus [DecidableEq α] (selected : Finset α) (hits : α → (T.plus.Node ⊕ T.minus.Node) → Prop) (v : T.minus.Node) : v ∈ marksMinus T selected hits ↔ ∃ t ∈ selected, hits t (.inr v) := by classical simp [marksMinus] theorem roots_not_marked (selected : Finset α) (level : α → ℕ) (hits : α → (T.plus.Node ⊕ T.minus.Node) → Prop) (hpositive : ∀ t ∈ selected, 0 < level t) (hdepth : ∀ t ∈ selected, ∀ v, hits t v → taggedDepth T v = level t) : T.plus.root ∉ marksPlus T selected hits ∧ T.minus.root ∉ marksMinus T selected hits := by constructor · intro hroot obtain ⟨t, ht, hhit⟩ := (mem_marksPlus T selected hits _).mp hroot have hh : 0 = level t := hdepth t ht (.inl T.plus.root) hhit have hp := hpositive t ht omega · intro hroot obtain ⟨t, ht, hhit⟩ := (mem_marksMinus T selected hits _).mp hroot have hh : 0 = level t := hdepth t ht (.inr T.minus.root) hhit have hp := hpositive t ht omega theorem marked_level_card_le (selected : Finset α) (level : α → ℕ) (hits : α → (T.plus.Node ⊕ T.minus.Node) → Prop) (hdepth : ∀ t ∈ selected, ∀ v, hits t v → taggedDepth T v = level t) (hunique : ∀ t ∈ selected, ∀ v w, hits t v → hits t w → v = w) (ℓ : ℕ) : ((marksPlus T selected hits).filter fun v => depth v = ℓ).card + ((marksMinus T selected hits).filter fun v => depth v = ℓ).card ≤ (selected.filter fun t => level t = ℓ).card := by classical rw [← Finset.card_disjSum] apply card_le_of_unique_hit _ _ hits · intro v hv cases v with | inl v => have hv' := Finset.mem_filter.mp (Finset.inl_mem_disjSum.mp hv) obtain ⟨t, ht, hhit⟩ := (mem_marksPlus T selected hits v).mp hv'.1 refine ⟨t, Finset.mem_filter.mpr ⟨ht, ?_⟩, hhit⟩ have hh : depth v = level t := hdepth t ht (.inl v) hhit exact hh.symm.trans hv'.2 | inr v => have hv' := Finset.mem_filter.mp (Finset.inr_mem_disjSum.mp hv) obtain ⟨t, ht, hhit⟩ := (mem_marksMinus T selected hits v).mp hv'.1 refine ⟨t, Finset.mem_filter.mpr ⟨ht, ?_⟩, hhit⟩ have hh : depth v = level t := hdepth t ht (.inr v) hhit exact hh.symm.trans hv'.2 · intro t ht v w hv hw exact hunique t (Finset.mem_filter.mp ht).1 v w hv hw theorem exists_unhit_leaf (selected : Finset α) (level : α → ℕ) (hits : α → (T.plus.Node ⊕ T.minus.Node) → Prop) (hpositive : ∀ t ∈ selected, 0 < level t) (hdepth : ∀ t ∈ selected, ∀ v, hits t v → taggedDepth T v = level t) (hunique : ∀ t ∈ selected, ∀ v w, hits t v → hits t w → v = w) (hstock : ∀ ℓ, 1 ≤ ℓ → ℓ ≤ T.height → (selected.filter fun t => level t = ℓ).card ≤ T.quota ℓ) : (∃ l : T.plus.Node, leaf l ∧ ∀ t ∈ selected, ∀ v, hits t (.inl v) → ¬ ancestor v l) ∨ (∃ l : T.minus.Node, leaf l ∧ ∀ t ∈ selected, ∀ v, hits t (.inr v) → ¬ ancestor v l) := by have hroots := roots_not_marked T selected level hits hpositive hdepth have hquota : ∀ ℓ, 1 ≤ ℓ → ℓ ≤ T.height → ((marksPlus T selected hits).filter fun v => depth v = ℓ).card + ((marksMinus T selected hits).filter fun v => depth v = ℓ).card ≤ T.quota ℓ := by intro ℓ hlo hhi exact (marked_level_card_le T selected level hits hdepth hunique ℓ).trans (hstock ℓ hlo hhi) rcases T.shared_obstruction (marksPlus T selected hits) (marksMinus T selected hits) hroots.1 hroots.2 hquota with ⟨l, hl, havoid⟩ | ⟨l, hl, havoid⟩ · left refine ⟨l, hl, ?_⟩ intro t ht v hhit exact havoid v ((mem_marksPlus T selected hits v).mpr ⟨t, ht, hhit⟩) · right refine ⟨l, hl, ?_⟩ intro t ht v hhit exact havoid v ((mem_marksMinus T selected hits v).mpr ⟨t, ht, hhit⟩) theorem exists_leaf_coverage_le_funded (selected : Finset α) (level : α → ℕ) (hits : α → (T.plus.Node ⊕ T.minus.Node) → Prop) (fundPlus fundMinus : Finset α) (coverPlus : T.plus.Node → Finset α) (coverMinus : T.minus.Node → Finset α) (hpositive : ∀ t ∈ selected, 0 < level t) (hdepth : ∀ t ∈ selected, ∀ v, hits t v → taggedDepth T v = level t) (hunique : ∀ t ∈ selected, ∀ v w, hits t v → hits t w → v = w) (hstock : ∀ ℓ, 1 ≤ ℓ → ℓ ≤ T.height → (selected.filter fun t => level t = ℓ).card ≤ T.quota ℓ) (hcoverPlus : ∀ l, leaf l → ∀ t ∈ coverPlus l, t ∈ fundPlus ∨ t ∈ selected ∧ ∃ v, hits t (.inl v) ∧ ancestor v l) (hcoverMinus : ∀ l, leaf l → ∀ t ∈ coverMinus l, t ∈ fundMinus ∨ t ∈ selected ∧ ∃ v, hits t (.inr v) ∧ ancestor v l) : (∃ l : T.plus.Node, leaf l ∧ (coverPlus l).card ≤ fundPlus.card) ∨ (∃ l : T.minus.Node, leaf l ∧ (coverMinus l).card ≤ fundMinus.card) := by rcases exists_unhit_leaf T selected level hits hpositive hdepth hunique hstock with ⟨l, hl, havoid⟩ | ⟨l, hl, havoid⟩ · left refine ⟨l, hl, Finset.card_le_card ?_⟩ intro t ht rcases hcoverPlus l hl t ht with hfund | ⟨hselected, v, hhit, hancestor⟩ · exact hfund · exact (havoid t hselected v hhit hancestor).elim · right refine ⟨l, hl, Finset.card_le_card ?_⟩ intro t ht rcases hcoverMinus l hl t ht with hfund | ⟨hselected, v, hhit, hancestor⟩ · exact hfund · exact (havoid t hselected v hhit hancestor).elim theorem side_choice (selected : Finset α) (level : α → ℕ) (hits : α → (T.plus.Node ⊕ T.minus.Node) → Prop) (fundPlus fundMinus : Finset α) (coverPlus : T.plus.Node → Finset α) (coverMinus : T.minus.Node → Finset α) (K : ℕ) (hpositive : ∀ t ∈ selected, 0 < level t) (hdepth : ∀ t ∈ selected, ∀ v, hits t v → taggedDepth T v = level t) (hunique : ∀ t ∈ selected, ∀ v w, hits t v → hits t w → v = w) (hstock : ∀ ℓ, 1 ≤ ℓ → ℓ ≤ T.height → (selected.filter fun t => level t = ℓ).card ≤ T.quota ℓ) (hcoverPlus : ∀ l, leaf l → ∀ t ∈ coverPlus l, t ∈ fundPlus ∨ t ∈ selected ∧ ∃ v, hits t (.inl v) ∧ ancestor v l) (hcoverMinus : ∀ l, leaf l → ∀ t ∈ coverMinus l, t ∈ fundMinus ∨ t ∈ selected ∧ ∃ v, hits t (.inr v) ∧ ancestor v l) (hlowerPlus : ∀ l, leaf l → d ≤ (coverPlus l).card + 6 * K) (hlowerMinus : ∀ l, leaf l → d ≤ (coverMinus l).card + 6 * K) : d ≤ fundPlus.card + 6 * K ∨ d ≤ fundMinus.card + 6 * K := by rcases exists_leaf_coverage_le_funded T selected level hits fundPlus fundMinus coverPlus coverMinus hpositive hdepth hunique hstock hcoverPlus hcoverMinus with ⟨l, hl, hle⟩ | ⟨l, hl, hle⟩ · exact Or.inl ((hlowerPlus l hl).trans (Nat.add_le_add_right hle _)) · exact Or.inr ((hlowerMinus l hl).trans (Nat.add_le_add_right hle _)) end BinPackingGap.SideChoice namespace BinPackingGap section def reductionTrees (c : ℕ) (ρ : ℝ) : CompetingTrees (depthDemand c ρ) := competingTrees (depthDemand c ρ) (depthDemand_pos c ρ) def reductionInventory (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : InventoryData := InventoryData.ofCompetingTrees G (reductionTrees c ρ) (repetitions (reductionTrees c ρ).quotaTotal G.n (lossAllowance c)) k def reductionInstance (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : Instance := (reductionInventory c ρ G k).packingInstance def reductionBinBound (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : ℕ := (reductionInventory c ρ G k).B @[simp] theorem reductionInventory_graph (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : (reductionInventory c ρ G k).graph = G := rfl @[simp] theorem reductionInventory_d (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : (reductionInventory c ρ G k).d = depthDemand c ρ := rfl @[simp] theorem reductionInventory_k (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : (reductionInventory c ρ G k).k = k := rfl @[simp] theorem reductionInventory_P (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : (reductionInventory c ρ G k).P = (reductionTrees c ρ).quotaTotal := rfl theorem reductionInventory_R (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : (reductionInventory c ρ G k).R = repetitions (reductionInventory c ρ G k).P G.n (lossAllowance c) := rfl theorem reductionInventory_R_pos (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : 0 < (reductionInventory c ρ G k).R := repetitions_pos _ _ _ theorem reductionInventory_height_pos (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : 0 < (reductionInventory c ρ G k).L := (reductionTrees c ρ).height_pos theorem reductionInventory_plus_height (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : (reductionInventory c ρ G k).plus.height = (reductionInventory c ρ G k).L := (reductionTrees c ρ).plus_height theorem reductionInventory_minus_height (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) : (reductionInventory c ρ G k).minus.height = (reductionInventory c ρ G k).L := (reductionTrees c ρ).minus_height theorem reductionInstance_count (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) (hk : k ≤ G.n) : (reductionInstance c ρ G k).n = 5 * reductionBinBound c ρ G k := (reductionInventory c ρ G k).packingInstance_n hk theorem reductionInstance_size_bounds (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) (i : (reductionInstance c ρ G k).Item) : (1 / 6 : ℚ) < (reductionInstance c ρ G k).size i ∧ (reductionInstance c ρ G k).size i < 1 := (reductionInventory c ρ G k).packingInstance_size_mem_interval i namespace PackingCounts variable {D : InventoryData} {I : Instance} {b : ℕ} private theorem selected_inventory_subclass (p : Packing I b) (e : D.Item ≃ I.Item) (t : p.TableBin (subclass e)) (r : Role) : D.itemSubclass ⟨r, roleCopy p e t r⟩ = patternSubclass (p.tablePattern (subclass e) t) r := by have h := p.itemAtRole_subclass (subclass e) t r rw [← roleCopy_item p e t r] at h simpa only [subclass, Function.comp_apply, Equiv.symm_apply_apply] using h private theorem selected_row_subclass (p : Packing I b) (e : D.Item ≃ I.Item) (t : p.TableBin (subclass e)) : D.rowSubclass (rowCopy p e t).2 = patternSubclass (p.tablePattern (subclass e) t) .x := by have h := selected_inventory_subclass p e t .x change D.itemSubclass ⟨.x, rowCopy p e t⟩ = _ at h rcases hc : rowCopy p e t with ⟨v, r⟩ simpa only [hc, InventoryData.itemSubclass] using h private theorem unit_global_species (u : D.GlobalCopy) (hu : D.globalUnit u = true) : u.1 = .up true ∨ u.1 = .um true := by rcases u with ⟨s, i⟩ cases s with | up one => cases one <;> simp_all [InventoryData.globalUnit] | um one => cases one <;> simp_all [InventoryData.globalUnit] | edge edge permit => simp [InventoryData.globalUnit] at hu private theorem selected_row_tm_of_um (p : Packing I b) (e : D.Item ≃ I.Item) (t : p.TableBin (subclass e)) {one : Bool} (hs : (globalCopy p e t).1 = .um one) : D.rowSubclass (rowCopy p e t).2 = .tm := by have hg := selected_inventory_subclass p e t .«global» have hclass : D.itemSubclass ⟨.«global», globalCopy p e t⟩ = .um := by rcases hc : globalCopy p e t with ⟨s, i⟩ have hs' : s = .um one := by simpa only [hc] using hs subst s rfl rw [hclass] at hg have hx := selected_row_subclass p e t cases hp : p.tablePattern (subclass e) t <;> simp_all [patternSubclass] private theorem selected_row_not_tm_of_up (p : Packing I b) (e : D.Item ≃ I.Item) (t : p.TableBin (subclass e)) {one : Bool} (hs : (globalCopy p e t).1 = .up one) : D.rowSubclass (rowCopy p e t).2 ≠ .tm := by have hg := selected_inventory_subclass p e t .«global» have hclass : D.itemSubclass ⟨.«global», globalCopy p e t⟩ = .up := by rcases hc : globalCopy p e t with ⟨s, i⟩ have hs' : s = .up one := by simpa only [hc] using hs subst s rfl rw [hclass] at hg have hx := selected_row_subclass p e t cases hp : p.tablePattern (subclass e) t <;> simp_all [patternSubclass] private theorem selected_global_resource (p : Packing I b) (e : D.Item ≃ I.Item) (t : p.TableBin (subclass e)) : p.itemAtRole (subclass e) t .«global» ∈ globalResources e (globalCopy p e t).1 := by apply (mem_globalResources e _ _).mpr refine ⟨(globalCopy p e t).2, ?_⟩ exact roleCopy_item p e t .«global» private theorem funded_of_species (p : Packing I b) (e : D.Item ≃ I.Item) (v : D.Vertex) (t : p.TableBin (subclass e)) (ht : t ∈ Coverage.mainTuplesAt p (subclass e) (label e) v) {s : GlobalSpecies D.graph} (hs : (globalCopy p e t).1 = s) : t ∈ fundedTuples p e s v := by apply (mem_fundedTuples p e s v t).mpr refine ⟨ht, ?_⟩ have hr := selected_global_resource p e t rwa [hs] at hr theorem covering_plus_unit_funded (p : Packing I b) (e : D.Item ≃ I.Item) (v : D.Vertex) (t : p.TableBin (subclass e)) (ht : t ∈ Coverage.mainTuplesAt p (subclass e) (label e) v) (leaf : D.PlusLeaf) {a : ℚ} (ha : a ∈ TreeGeometry.nodeCell D.graph.edges.length D.R D.geometryBound .plus leaf.val) (hu : D.globalUnit (globalCopy p e t) = true) (hc : tupleFinish p e t ≤ a ∧ a < tupleBaseline p e t) : t ∈ fundedTuples p e (.up true) v := by rcases unit_global_species (globalCopy p e t) hu with hup | hum · exact funded_of_species p e v t ht hup · have hrow := selected_row_tm_of_um p e t hum have hfinish : 1 < tupleFinish p e t := D.minus_row_completion_gt_one (rowCopy p e t).2 (globalCopy p e t) (localCopy p e t).2 hrow have hroot := TreeGeometry.nodeCell_subset_root D.graph.edges.length D.R D.geometryBound .plus D.plus_branch_le_geometryBound leaf.val ha have ha1 : a ≤ 1 := by simpa only [TreeGeometry.rootOffset, zero_add] using hroot.2 exact False.elim (by linarith only [hfinish, ha1, hc.1]) theorem covering_minus_unit_funded (p : Packing I b) (e : D.Item ≃ I.Item) (v : D.Vertex) (t : p.TableBin (subclass e)) (ht : t ∈ Coverage.mainTuplesAt p (subclass e) (label e) v) (leaf : D.MinusLeaf) {a : ℚ} (ha : a ∈ TreeGeometry.nodeCell D.graph.edges.length D.R D.geometryBound .minus leaf.val) (hu : D.globalUnit (globalCopy p e t) = true) (hc : tupleFinish p e t ≤ a ∧ a < tupleBaseline p e t) : t ∈ fundedTuples p e (.um true) v := by rcases unit_global_species (globalCopy p e t) hu with hup | hum · have hrow := selected_row_not_tm_of_up p e t hup have hbase : tupleBaseline p e t ≤ 1 := D.rowBaseline_le_one_of_not_tm (rowCopy p e t).2 hrow have hroot := TreeGeometry.nodeCell_subset_root D.graph.edges.length D.R D.geometryBound .minus D.minus_branch_le_geometryBound leaf.val ha have ha4 : 4 ≤ a := hroot.1 exact False.elim (by linarith only [hbase, ha4, hc.2]) · exact funded_of_species p e v t ht hum theorem zero_lengths_cover_jobCell (p : Packing I b) (e : D.Item ≃ I.Item) (t : p.TableBin (subclass e)) {a : ℚ} (hu : D.globalUnit (globalCopy p e t) = false) (hl : tupleLocalLength p e t = 0) (hc : tupleFinish p e t ≤ a ∧ a < tupleBaseline p e t) : ∃ j : D.JobCopy (rowCopy p e t).1, a ∈ D.testCell (.inr (.inr j.1) : D.TestAt (rowCopy p e t).1) := by have hg := tupleGlobalLength_eq_of_unit_false p e t hu have hmem : a ∈ completionInterval (tupleBaseline p e t) (tupleShort p e t) 0 0 (Geometry.delta D.graph.edges.length D.R D.geometryBound D.L) := by change completion (tupleBaseline p e t) (tupleShort p e t) 0 0 _ ≤ a ∧ a < tupleBaseline p e t simpa only [tupleFinish, hg, hl] using hc change a ∈ completionInterval (D.rowBaseline (rowCopy p e t).2) (D.rowShort (rowCopy p e t).2) 0 0 (Geometry.delta D.graph.edges.length D.R D.geometryBound D.L) at hmem by_cases hs : D.rowShort (rowCopy p e t).2 = true · obtain ⟨j, _, _, hj⟩ := D.row_zero_resources_job (rowCopy p e t).2 hs rw [hj] at hmem refine ⟨j, ?_⟩ change a ∈ Geometry.closedJobCell D.graph.edges.length D.R D.geometryBound D.L (D.jobPosition j) exact ⟨hmem.1, hmem.2.le⟩ · have hsfalse : D.rowShort (rowCopy p e t).2 = false := by cases hh : D.rowShort (rowCopy p e t).2 <;> simp_all rw [D.row_zero_resources_empty (rowCopy p e t).2 hsfalse] at hmem cases hmem theorem zero_lengths_not_cover_plus_leaf (p : Packing I b) (e : D.Item ≃ I.Item) (hplusheight : D.plus.height = D.L) (hminusheight : D.minus.height = D.L) (hL : 1 ≤ D.L) (t : p.TableBin (subclass e)) (leaf : D.PlusLeaf) {a : ℚ} (ha : a ∈ TreeGeometry.nodeCell D.graph.edges.length D.R D.geometryBound .plus leaf.val) (hu : D.globalUnit (globalCopy p e t) = false) (hl : tupleLocalLength p e t = 0) : ¬ (tupleFinish p e t ≤ a ∧ a < tupleBaseline p e t) := by intro hc obtain ⟨j, hj⟩ := zero_lengths_cover_jobCell p e t hu hl hc have hleaf : a ∈ D.testCell (.inl leaf : D.TestAt (rowCopy p e t).1) := ha have hdis := D.testCell_disjoint hplusheight hminusheight hL (show (.inl leaf : D.TestAt (rowCopy p e t).1) ≠ .inr (.inr j.1) by intro h; cases h) exact Set.disjoint_left.mp hdis hleaf hj theorem zero_lengths_not_cover_minus_leaf (p : Packing I b) (e : D.Item ≃ I.Item) (hplusheight : D.plus.height = D.L) (hminusheight : D.minus.height = D.L) (hL : 1 ≤ D.L) (t : p.TableBin (subclass e)) (leaf : D.MinusLeaf) {a : ℚ} (ha : a ∈ TreeGeometry.nodeCell D.graph.edges.length D.R D.geometryBound .minus leaf.val) (hu : D.globalUnit (globalCopy p e t) = false) (hl : tupleLocalLength p e t = 0) : ¬ (tupleFinish p e t ≤ a ∧ a < tupleBaseline p e t) := by intro hc obtain ⟨j, hj⟩ := zero_lengths_cover_jobCell p e t hu hl hc have hleaf : a ∈ D.testCell (.inr (.inl leaf) : D.TestAt (rowCopy p e t).1) := ha have hdis := D.testCell_disjoint hplusheight hminusheight hL (show (.inr (.inl leaf) : D.TestAt (rowCopy p e t).1) ≠ .inr (.inr j.1) by intro h; cases h) exact Set.disjoint_left.mp hdis hleaf hj end PackingCounts open UniformTree namespace InventoryData variable (D : InventoryData) def plusPoint (v : D.plus.Node) : ℚ := (TreeGeometry.left D.graph.edges.length D.R D.geometryBound .plus v.val + TreeGeometry.right D.graph.edges.length D.R D.geometryBound .plus v.val) / 2 def minusPoint (v : D.minus.Node) : ℚ := (TreeGeometry.left D.graph.edges.length D.R D.geometryBound .minus v.val + TreeGeometry.right D.graph.edges.length D.R D.geometryBound .minus v.val) / 2 theorem plusPoint_mem_Ico (v : D.plus.Node) : D.plusPoint v ∈ Set.Ico (TreeGeometry.left D.graph.edges.length D.R D.geometryBound .plus v.val) (TreeGeometry.right D.graph.edges.length D.R D.geometryBound .plus v.val) := by have h := TreeGeometry.left_lt_right D.graph.edges.length D.R D.geometryBound .plus v.val dsimp only [plusPoint, Set.mem_Ico] constructor <;> linarith theorem minusPoint_mem_Ico (v : D.minus.Node) : D.minusPoint v ∈ Set.Ico (TreeGeometry.left D.graph.edges.length D.R D.geometryBound .minus v.val) (TreeGeometry.right D.graph.edges.length D.R D.geometryBound .minus v.val) := by have h := TreeGeometry.left_lt_right D.graph.edges.length D.R D.geometryBound .minus v.val dsimp only [minusPoint, Set.mem_Ico] constructor <;> linarith theorem plusPoint_mem_cell (v : D.plus.Node) : D.plusPoint v ∈ TreeGeometry.nodeCell D.graph.edges.length D.R D.geometryBound .plus v := ⟨(D.plusPoint_mem_Ico v).1, (D.plusPoint_mem_Ico v).2.le⟩ theorem minusPoint_mem_cell (v : D.minus.Node) : D.minusPoint v ∈ TreeGeometry.nodeCell D.graph.edges.length D.R D.geometryBound .minus v := ⟨(D.minusPoint_mem_Ico v).1, (D.minusPoint_mem_Ico v).2.le⟩ def taggedAddress : D.plus.Node ⊕ D.minus.Node → TreeGeometry.Side × List ℕ | .inl v => (.plus, v.val) | .inr v => (.minus, v.val) theorem taggedAddress_injective : Function.Injective D.taggedAddress := by intro u v h cases u with | inl u => cases v with | inl v => exact congrArg Sum.inl (Subtype.ext (congrArg Prod.snd h)) | inr v => have hs := congrArg Prod.fst h; cases hs | inr u => cases v with | inl v => have hs := congrArg Prod.fst h; cases hs | inr v => exact congrArg Sum.inr (Subtype.ext (congrArg Prod.snd h)) def taggedNodeDepth (v : D.plus.Node ⊕ D.minus.Node) : ℕ := (D.taggedAddress v).2.length def taggedNodeCell (v : D.plus.Node ⊕ D.minus.Node) : Set ℚ := TreeGeometry.cell D.graph.edges.length D.R D.geometryBound (D.taggedAddress v).1 (D.taggedAddress v).2 theorem taggedAddress_bounded (v : D.plus.Node ⊕ D.minus.Node) : TreeGeometry.BoundedAddress D.geometryBound (D.taggedAddress v).2 := by cases v with | inl v => exact TreeGeometry.boundedAddress_node v D.plus_branch_le_geometryBound | inr v => exact TreeGeometry.boundedAddress_node v D.minus_branch_le_geometryBound end InventoryData namespace PackingCounts variable {D : InventoryData} {I : Instance} {b : ℕ} def tupleHits (p : Packing I b) (e : D.Item ≃ I.Item) (t : p.TableBin (subclass e)) (v : D.plus.Node ⊕ D.minus.Node) : Prop := D.taggedNodeDepth v = tupleLocalDepth p e t ∧ (tupleClosedInterval p e t ∩ D.taggedNodeCell v).Nonempty theorem selected_hits_unique (p : Packing I b) (e : D.Item ≃ I.Item) (v : D.Vertex) (t : p.TableBin (subclass e)) (ht : t ∈ zeroPositiveTuples p e v) (u w : D.plus.Node ⊕ D.minus.Node) (hu : tupleHits p e t u) (hw : tupleHits p e t w) : u = w := by apply D.taggedAddress_injective exact TreeGeometry.eq_of_short_intersections D.graph.edges.length D.R D.geometryBound (Finset.mem_Icc.mp (selected_depth_mem p e v t ht)).2 hu.1 hw.1 (D.taggedAddress_bounded u) (D.taggedAddress_bounded w) (selected_interval_length p e v t ht) hu.2 hw.2 theorem main_local_nonzero_positive (p : Packing I b) (e : D.Item ≃ I.Item) (v : D.Vertex) (t : p.TableBin (subclass e)) (ht : t ∈ Coverage.mainTuplesAt p (subclass e) (label e) v) (hlocal : tupleLocalLength p e t ≠ 0) : p.itemAtRole (subclass e) t .«local» ∈ positiveLocalResources e v := by have hlabel := good_local_vertex p e v t (Coverage.mainTuplesAt_subset_good p (subclass e) (label e) v ht) cases hcopy : localCopy p e t with | mk w l => have hwv : w = v := by simpa only [hcopy] using hlabel subst w rcases l with ((i | z) | j) · apply (mem_positiveLocalResources e v _).mpr refine ⟨i, ?_⟩ rw [← roleCopy_item p e t .«local»] exact congrArg (fun x : (Σ w : D.Vertex, D.LocalAt w) => e ⟨.«local», x⟩) hcopy.symm · exact (hlocal (congrArg (fun x : (Σ w : D.Vertex, D.LocalAt w) => D.localLength x.2) hcopy)).elim · exact (hlocal (congrArg (fun x : (Σ w : D.Vertex, D.LocalAt w) => D.localLength x.2) hcopy)).elim theorem selected_hits_plus_ancestor (p : Packing I b) (e : D.Item ≃ I.Item) (v : D.Vertex) (t : p.TableBin (subclass e)) (ht : t ∈ zeroPositiveTuples p e v) (hheight : D.plus.height = D.L) (l : D.plus.Node) (hl : leaf l) {a : ℚ} (ha : a ∈ TreeGeometry.nodeCell D.graph.edges.length D.R D.geometryBound .plus l) (hcover : tupleFinish p e t ≤ a ∧ a < tupleBaseline p e t) : ∃ u : D.plus.Node, tupleHits p e t (.inl u) ∧ ancestor u l := by let ell := tupleLocalDepth p e t have hell : ell ≤ depth l := by rw [(leaf_iff_depth_eq_height l).mp hl, hheight] exact (Finset.mem_Icc.mp (selected_depth_mem p e v t ht)).2 refine ⟨ancestorAt l ell, ⟨depth_ancestorAt l hell, ?_⟩, ancestorAt_ancestor l ell⟩ refine ⟨a, ⟨hcover.1, hcover.2.le⟩, ?_⟩ exact TreeGeometry.mem_ancestor_cell D.graph.edges.length D.R D.geometryBound .plus D.plus_branch_le_geometryBound l ell ha theorem selected_hits_minus_ancestor (p : Packing I b) (e : D.Item ≃ I.Item) (v : D.Vertex) (t : p.TableBin (subclass e)) (ht : t ∈ zeroPositiveTuples p e v) (hheight : D.minus.height = D.L) (l : D.minus.Node) (hl : leaf l) {a : ℚ} (ha : a ∈ TreeGeometry.nodeCell D.graph.edges.length D.R D.geometryBound .minus l) (hcover : tupleFinish p e t ≤ a ∧ a < tupleBaseline p e t) : ∃ u : D.minus.Node, tupleHits p e t (.inr u) ∧ ancestor u l := by let ell := tupleLocalDepth p e t have hell : ell ≤ depth l := by rw [(leaf_iff_depth_eq_height l).mp hl, hheight] exact (Finset.mem_Icc.mp (selected_depth_mem p e v t ht)).2 refine ⟨ancestorAt l ell, ⟨depth_ancestorAt l hell, ?_⟩, ancestorAt_ancestor l ell⟩ refine ⟨a, ⟨hcover.1, hcover.2.le⟩, ?_⟩ exact TreeGeometry.mem_ancestor_cell D.graph.edges.length D.R D.geometryBound .minus D.minus_branch_le_geometryBound l ell ha theorem covering_plus_classification (p : Packing I b) (e : D.Item ≃ I.Item) (v : D.Vertex) (t : p.TableBin (subclass e)) (hplusheight : D.plus.height = D.L) (hminusheight : D.minus.height = D.L) (hL : 1 ≤ D.L) (l : D.plus.Node) (hl : leaf l) {a : ℚ} (ha : a ∈ TreeGeometry.nodeCell D.graph.edges.length D.R D.geometryBound .plus l) (ht : t ∈ tupleCovering p e v a) : t ∈ fundedTuples p e (.up true) v ∨ t ∈ zeroPositiveTuples p e v ∧ ∃ u : D.plus.Node, tupleHits p e t (.inl u) ∧ ancestor u l := by obtain ⟨hmain, hcover⟩ := (mem_tupleCovering p e v a t).mp ht cases hu : D.globalUnit (globalCopy p e t) with | false => have hlocal : tupleLocalLength p e t ≠ 0 := by intro hz exact zero_lengths_not_cover_plus_leaf p e hplusheight hminusheight hL t ⟨l, hl⟩ ha hu hz hcover have hselected : t ∈ zeroPositiveTuples p e v := (mem_zeroPositiveTuples p e v t).mpr ⟨hmain, hu, main_local_nonzero_positive p e v t hmain hlocal⟩ exact Or.inr ⟨hselected, selected_hits_plus_ancestor p e v t hselected hplusheight l hl ha hcover⟩ | true => exact Or.inl (covering_plus_unit_funded p e v t hmain ⟨l, hl⟩ ha hu hcover) theorem covering_minus_classification (p : Packing I b) (e : D.Item ≃ I.Item) (v : D.Vertex) (t : p.TableBin (subclass e)) (hplusheight : D.plus.height = D.L) (hminusheight : D.minus.height = D.L) (hL : 1 ≤ D.L) (l : D.minus.Node) (hl : leaf l) {a : ℚ} (ha : a ∈ TreeGeometry.nodeCell D.graph.edges.length D.R D.geometryBound .minus l) (ht : t ∈ tupleCovering p e v a) : t ∈ fundedTuples p e (.um true) v ∨ t ∈ zeroPositiveTuples p e v ∧ ∃ u : D.minus.Node, tupleHits p e t (.inr u) ∧ ancestor u l := by obtain ⟨hmain, hcover⟩ := (mem_tupleCovering p e v a t).mp ht cases hu : D.globalUnit (globalCopy p e t) with | false => have hlocal : tupleLocalLength p e t ≠ 0 := by intro hz exact zero_lengths_not_cover_minus_leaf p e hplusheight hminusheight hL t ⟨l, hl⟩ ha hu hz hcover have hselected : t ∈ zeroPositiveTuples p e v := (mem_zeroPositiveTuples p e v t).mpr ⟨hmain, hu, main_local_nonzero_positive p e v t hmain hlocal⟩ exact Or.inr ⟨hselected, selected_hits_minus_ancestor p e v t hselected hminusheight l hl ha hcover⟩ | true => exact Or.inl (covering_minus_unit_funded p e v t hmain ⟨l, hl⟩ ha hu hcover) theorem side_choice_of_competingTrees (G : GraphInput) {d : ℕ} (T : CompetingTrees d) (R k : ℕ) (p : Packing I b) (e : (InventoryData.ofCompetingTrees G T R k).Item ≃ I.Item) (v : G.Vertex) (K : ℕ) (hlowerPlus : ∀ l : T.plus.Node, leaf l → d ≤ (tupleCovering p e v ((InventoryData.ofCompetingTrees G T R k).plusPoint l)).card + 6 * K) (hlowerMinus : ∀ l : T.minus.Node, leaf l → d ≤ (tupleCovering p e v ((InventoryData.ofCompetingTrees G T R k).minusPoint l)).card + 6 * K) : d ≤ xplus p e v + 6 * K ∨ d ≤ xminus p e v + 6 * K := by classical let D := InventoryData.ofCompetingTrees G T R k change d ≤ (fundedTuples p e (.up true) v).card + 6 * K ∨ d ≤ (fundedTuples p e (.um true) v).card + 6 * K apply SideChoice.side_choice T (zeroPositiveTuples p e v) (tupleLocalDepth p e) (tupleHits p e) (fundedTuples p e (.up true) v) (fundedTuples p e (.um true) v) (fun l => tupleCovering p e v (D.plusPoint l)) (fun l => tupleCovering p e v (D.minusPoint l)) K · intro t ht exact Nat.lt_of_lt_of_le Nat.zero_lt_one (Finset.mem_Icc.mp (selected_depth_mem p e v t ht)).1 · intro t _ w hhit cases w <;> exact hhit.1 · intro t ht u w hu hw exact selected_hits_unique p e v t ht u w hu hw · intro ell hlo hhi exact zeroPositiveTuples_depth_card_le p e v ⟨ell, Finset.mem_Icc.mpr ⟨hlo, hhi⟩⟩ · intro l hl t ht exact covering_plus_classification p e v t T.plus_height T.minus_height (Nat.succ_le_of_lt T.height_pos) l hl (D.plusPoint_mem_cell l) ht · intro l hl t ht exact covering_minus_classification p e v t T.plus_height T.minus_height (Nat.succ_le_of_lt T.height_pos) l hl (D.minusPoint_mem_cell l) ht · exact hlowerPlus · exact hlowerMinus theorem side_choice_of_test_coverage (G : GraphInput) {d : ℕ} (T : CompetingTrees d) (R k : ℕ) (p : Packing I b) (e : (InventoryData.ofCompetingTrees G T R k).Item ≃ I.Item) (v : G.Vertex) (K : ℕ) (hcoverage : ∀ q : (InventoryData.ofCompetingTrees G T R k).TestAt v, ∀ a : ℚ, a ∈ (InventoryData.ofCompetingTrees G T R k).testInterval q → d ≤ (tupleCovering p e v a).card + 6 * K) : d ≤ xplus p e v + 6 * K ∨ d ≤ xminus p e v + 6 * K := by apply side_choice_of_competingTrees G T R k p e v K · intro l hl exact hcoverage (.inl ⟨l, hl⟩) _ ((InventoryData.ofCompetingTrees G T R k).plusPoint_mem_Ico l) · intro l hl exact hcoverage (.inr (.inl ⟨l, hl⟩)) _ ((InventoryData.ofCompetingTrees G T R k).minusPoint_mem_Ico l) end PackingCounts end def extractedCover (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) {b : ℕ} (p : Packing (reductionInstance c ρ G k) b) : Finset G.Vertex := thresholdCover (depthDemand c ρ) (PackingCounts.xplus p (reductionInventory c ρ G k).itemEquiv) theorem reduction_side_choice (c : ℕ) (ρ : ℝ) (G : GraphInput) (k : ℕ) (hk : k ≤ G.n) {b : ℕ} (p : Packing (reductionInstance c ρ G k) b) (hb : b ≤ reductionBinBound c ρ G k + c) (v : G.Vertex) : depthDemand c ρ ≤ PackingCounts.xplus p (reductionInventory c ρ G k).itemEquiv v + 6 * lossAllowance c ∨ depthDemand c ρ ≤ PackingCounts.xminus p (reductionInventory c ρ G k).itemEquiv v + 6 * lossAllowance c := by let D := reductionInventory c ρ G k apply PackingCounts.side_choice_of_test_coverage G (reductionTrees c ρ) D.R k p D.itemEquiv v (lossAllowance c) intro q a ha exact D.test_coverage (reductionInventory_plus_height c ρ G k) (reductionInventory_minus_height c ρ G k) (Nat.succ_le_of_lt (reductionInventory_height_pos c ρ G k)) hk p hb v q a ha theorem extractedCover_card_le (c : ℕ) (ρ : ℝ) (hρ : 0 < ρ) (G : GraphInput) (k : ℕ) (hk : k ≤ G.n) {b : ℕ} (p : Packing (reductionInstance c ρ G k) b) (hb : b ≤ reductionBinBound c ρ G k + c) : ((extractedCover c ρ G k p).card : ℝ) ≤ (k : ℝ) + ρ * G.n := by let D := reductionInventory c ρ G k apply thresholdCover_card_le_graph G (PackingCounts.xplus p D.itemEquiv) (PackingCounts.xminus p D.itemEquiv) (depthDemand_pos c ρ) (depthDemand_ge_72 c ρ) hk hρ (depthDemand_ge_120_div c ρ) · exact PackingCounts.xplus_budget p D.itemEquiv · exact PackingCounts.total_budget p D.itemEquiv hk · exact reduction_side_choice c ρ G k hk p hb end BinPackingGap end end OAI