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Add lean source and binary files (part 59)
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import Mathlib.Data.List.FinRange
import Mathlib.Data.List.NodupEquivFin
import OAI.Computability.BinPacking.Inventory.InventoryScores
namespace OAI
noncomputable section
namespace BinPackingGap.InventoryData
variable (D : InventoryData)
private theorem length_flatMap_constant {α β : Type*} (l : List α)
(f : α → List β) (n : ℕ) (hf : ∀ a, (f a).length = n) :
(l.flatMap f).length = l.length * n := by
induction l with
| nil => simp
| cons a l ih => simp [hf, ih, Nat.add_mul, Nat.add_comm]
def treeRowList : List D.TreeRow :=
((Finset.univ : Finset D.plus.Node).toList.flatMap fun v =>
(List.finRange D.d).map fun j => Sum.inl (v, j)) ++
((Finset.univ : Finset D.minus.Node).toList.flatMap fun v =>
(List.finRange D.d).map fun j => Sum.inr (Sum.inl (v, j))) ++
(List.finRange D.P).map (fun j => Sum.inr (Sum.inr j))
def positiveLocalList : List D.PositiveLocal :=
(Finset.univ : Finset D.PositiveLocal).toList
theorem mem_treeRowList (r : D.TreeRow) : r ∈ D.treeRowList := by
classical
rcases r with ⟨v, j⟩ | (⟨v, j⟩ | j) <;>
simp [treeRowList]
theorem mem_positiveLocalList (r : D.PositiveLocal) : r ∈ D.positiveLocalList := by
classical
simp [positiveLocalList]
theorem treeRowList_length : D.treeRowList.length = D.t := by
classical
have hp := length_flatMap_constant (Finset.univ : Finset D.plus.Node).toList
(fun v => (List.finRange D.d).map fun j => (Sum.inl (v, j) : D.TreeRow)) D.d
(fun _ => by simp)
have hm := length_flatMap_constant (Finset.univ : Finset D.minus.Node).toList
(fun v => (List.finRange D.d).map fun j =>
(Sum.inr (Sum.inl (v, j)) : D.TreeRow)) D.d (fun _ => by simp)
simp only [treeRowList, List.length_append, hp, hm, List.length_map,
List.length_finRange, Finset.length_toList, Finset.card_univ]
dsimp [t, tPlus, tMinus]
ring
theorem positiveLocalList_length : D.positiveLocalList.length = D.P := by
classical
simpa only [positiveLocalList, Finset.length_toList, Finset.card_univ] using
D.card_positiveLocal
def vertexChunk (v : D.Vertex) : List D.Item :=
(D.treeRowList.map fun r => ⟨.x, ⟨v, .inl r⟩⟩) ++
(D.treeRowList.map fun r => ⟨.anchor, ⟨v, .inl (.inl r)⟩⟩) ++
(D.positiveLocalList.map fun r => ⟨.«local», ⟨v, .inl (.inl r)⟩⟩) ++
((List.finRange (D.t - D.P)).map fun j =>
⟨.«local», ⟨v, .inl (.inr (.inl j))⟩⟩)
def vertexItems : List D.Item :=
(List.finRange D.graph.n).flatMap D.vertexChunk
def listedJobCopy (e : D.Edge) (j : Fin D.R) (s : Fin 2) (r : Fin D.d) :
D.JobCopy (D.graph.endpoint e s) :=
((⟨(e, s), rfl⟩, j), r)
def jobChunk (e : D.Edge) (j : Fin D.R) (s : Fin 2) : List D.Item :=
let v := D.graph.endpoint e s
let copy := D.listedJobCopy e j s
((List.finRange D.d).map fun r => ⟨.x, ⟨v, .inr (true, copy r)⟩⟩) ++
((List.finRange D.d).map fun r => ⟨.x, ⟨v, .inr (false, copy r)⟩⟩) ++
((List.finRange D.d).map fun r => ⟨.anchor, ⟨v, .inl (.inr (copy r))⟩⟩) ++
((List.finRange D.d).map fun r => ⟨.anchor, ⟨v, .inr (copy r)⟩⟩) ++
((List.finRange D.d).map fun r =>
⟨.«local», ⟨v, .inl (.inr (.inr (copy r)))⟩⟩) ++
((List.finRange D.d).map fun r => ⟨.«local», ⟨v, .inr (copy r)⟩⟩)
def jobItems : List D.Item :=
(List.finRange D.graph.edges.length).flatMap fun e =>
(List.finRange D.R).flatMap fun j =>
(List.finRange 2).flatMap fun s => D.jobChunk e j s
def globalPool (s : GlobalSpecies D.graph) : List D.Item :=
(List.finRange (D.globalStock s)).map fun r => ⟨.«global», ⟨s, r⟩⟩
def globalItems : List D.Item :=
D.globalPool (.up true) ++ D.globalPool (.up false) ++
D.globalPool (.um true) ++ D.globalPool (.um false) ++
(List.finRange D.graph.edges.length).flatMap fun e =>
D.globalPool (.edge e true) ++ D.globalPool (.edge e false)
def flagPool (s : FlagSpecies) : List D.Item :=
(List.finRange (D.flagStock s)).map fun r => ⟨.flag, ⟨s, r⟩⟩
def flagItems : List D.Item :=
D.flagPool .tree ++ D.flagPool .main ++ D.flagPool .edge
def itemList : List D.Item :=
D.vertexItems ++ D.jobItems ++ D.globalItems ++ D.flagItems
theorem vertexChunk_length (v : D.Vertex) : (D.vertexChunk v).length = 3 * D.t := by
simp only [vertexChunk, List.length_append, List.length_map, D.treeRowList_length,
D.positiveLocalList_length, List.length_finRange]
have h := D.P_le_t
omega
theorem vertexItems_length : D.vertexItems.length = 3 * D.graph.n * D.t := by
rw [vertexItems, length_flatMap_constant _ _ _ D.vertexChunk_length,
List.length_finRange]
ring
theorem jobChunk_length (e : D.Edge) (j : Fin D.R) (s : Fin 2) :
(D.jobChunk e j s).length = 6 * D.d := by
simp only [jobChunk, List.length_append, List.length_map, List.length_finRange]
omega
theorem jobItems_length :
D.jobItems.length = 12 * D.d * D.graph.edges.length * D.R := by
have hs (e : D.Edge) (j : Fin D.R) :
((List.finRange 2).flatMap fun s => D.jobChunk e j s).length = 2 * (6 * D.d) := by
rw [length_flatMap_constant _ _ _ (D.jobChunk_length e j), List.length_finRange]
have hj (e : D.Edge) :
((List.finRange D.R).flatMap fun j =>
(List.finRange 2).flatMap fun s => D.jobChunk e j s).length =
D.R * (2 * (6 * D.d)) := by
rw [length_flatMap_constant _ _ _ (hs e), List.length_finRange]
rw [jobItems, length_flatMap_constant _ _ _ hj, List.length_finRange]
ring
theorem globalPool_length (s : GlobalSpecies D.graph) :
(D.globalPool s).length = D.globalStock s := by simp [globalPool]
theorem globalItems_length (hk : D.k ≤ D.graph.n) : D.globalItems.length = D.B := by
have he (e : D.Edge) :
(D.globalPool (.edge e true) ++ D.globalPool (.edge e false)).length =
2 * (D.d * D.R) := by simp [globalPool_length, globalStock, two_mul]
have hu := D.up_species_total hk
have hm := D.um_species_total
have hlen : D.globalItems.length = D.plusSlots + D.minusSlots +
D.graph.edges.length * (2 * (D.d * D.R)) := by
simp only [globalItems, List.length_append, D.globalPool_length,
length_flatMap_constant _ _ _ he, List.length_finRange]
omega
rw [hlen, D.plusSlots_eq, D.sum_J, D.B_closed]
dsimp [minusSlots, t]
ring
theorem flagPool_length (s : FlagSpecies) :
(D.flagPool s).length = D.flagStock s := by simp [flagPool]
theorem flagItems_length : D.flagItems.length = D.B := by
simp only [flagItems, List.length_append, D.flagPool_length, flagStock,
treeFlags, jobFlags, D.B_eq]
omega
theorem itemList_length (hk : D.k ≤ D.graph.n) : D.itemList.length = 5 * D.B := by
simp only [itemList, List.length_append, D.vertexItems_length, D.jobItems_length,
D.globalItems_length hk, D.flagItems_length]
rw [D.B_closed]
ring
private theorem mem_itemList_of_vertex {v : D.Vertex} {i : D.Item}
(hi : i ∈ D.vertexChunk v) : i ∈ D.itemList := by
have hv : i ∈ D.vertexItems :=
List.mem_flatMap.mpr ⟨v, List.mem_finRange v, hi⟩
simp only [itemList, List.mem_append]
exact Or.inl (Or.inl (Or.inl hv))
private theorem mem_itemList_of_job {e : D.Edge} {j : Fin D.R} {s : Fin 2} {i : D.Item}
(hi : i ∈ D.jobChunk e j s) : i ∈ D.itemList := by
have hj : i ∈ D.jobItems := List.mem_flatMap.mpr ⟨e, List.mem_finRange e,
List.mem_flatMap.mpr ⟨j, List.mem_finRange j,
List.mem_flatMap.mpr ⟨s, List.mem_finRange s, hi⟩⟩⟩
simp only [itemList, List.mem_append]
exact Or.inl (Or.inl (Or.inr hj))
private theorem mem_globalItems (g : D.GlobalCopy) :
(⟨.«global», g⟩ : D.Item) ∈ D.globalItems := by
rcases g with ⟨s, r⟩
cases s with
| up b => cases b <;> simp [globalItems, globalPool]
| um b => cases b <;> simp [globalItems, globalPool]
| edge e b =>
have hp : (⟨.«global», ⟨.edge e b, r⟩⟩ : D.Item) ∈
D.globalPool (.edge e true) ++ D.globalPool (.edge e false) := by
cases b <;> simp [globalPool]
have he : (⟨.«global», ⟨.edge e b, r⟩⟩ : D.Item) ∈
(List.finRange D.graph.edges.length).flatMap
(fun e => D.globalPool (.edge e true) ++ D.globalPool (.edge e false)) :=
List.mem_flatMap.mpr ⟨e, List.mem_finRange e, hp⟩
exact List.mem_append_right _ he
private theorem mem_flagItems (g : D.FlagCopy) : (⟨.flag, g⟩ : D.Item) ∈ D.flagItems := by
rcases g with ⟨s, r⟩
cases s <;> simp [flagItems, flagPool]
theorem mem_itemList (i : D.Item) : i ∈ D.itemList := by
classical
rcases i with ⟨role, i⟩
cases role with
| x =>
rcases i with ⟨v, tree | ⟨short, job⟩⟩
· apply D.mem_itemList_of_vertex (v := v)
simp only [vertexChunk, List.mem_append]
exact Or.inl (Or.inl (Or.inl
(List.mem_map.mpr ⟨tree, D.mem_treeRowList tree, rfl⟩)))
· rcases job with ⟨⟨⟨⟨e, s⟩, hv⟩, j⟩, r⟩
cases hv
apply D.mem_itemList_of_job (e := e) (j := j) (s := s)
cases short <;> simp [jobChunk, listedJobCopy]
| anchor =>
rcases i with ⟨v, (tree | job) | job⟩
· apply D.mem_itemList_of_vertex (v := v)
simp only [vertexChunk, List.mem_append]
exact Or.inl (Or.inl (Or.inr
(List.mem_map.mpr ⟨tree, D.mem_treeRowList tree, rfl⟩)))
· rcases job with ⟨⟨⟨⟨e, s⟩, hv⟩, j⟩, r⟩
cases hv
apply D.mem_itemList_of_job (e := e) (j := j) (s := s)
simp [jobChunk, listedJobCopy]
· rcases job with ⟨⟨⟨⟨e, s⟩, hv⟩, j⟩, r⟩
cases hv
apply D.mem_itemList_of_job (e := e) (j := j) (s := s)
simp [jobChunk, listedJobCopy]
| «global» =>
simp only [itemList, List.mem_append]
exact Or.inl (Or.inr (D.mem_globalItems i))
| «local» =>
rcases i with ⟨v, (positive | (zero | job)) | job⟩
· apply D.mem_itemList_of_vertex (v := v)
simp only [vertexChunk, List.mem_append]
exact Or.inl (Or.inr
(List.mem_map.mpr ⟨positive, D.mem_positiveLocalList positive, rfl⟩))
· apply D.mem_itemList_of_vertex (v := v)
simp [vertexChunk]
· rcases job with ⟨⟨⟨⟨e, s⟩, hv⟩, j⟩, r⟩
cases hv
apply D.mem_itemList_of_job (e := e) (j := j) (s := s)
simp [jobChunk, listedJobCopy]
· rcases job with ⟨⟨⟨⟨e, s⟩, hv⟩, j⟩, r⟩
cases hv
apply D.mem_itemList_of_job (e := e) (j := j) (s := s)
simp [jobChunk, listedJobCopy]
| flag =>
simp only [itemList, List.mem_append]
exact Or.inr (D.mem_flagItems i)
open scoped Classical in
theorem itemList_toFinset : D.itemList.toFinset = Finset.univ := by
classical
ext i
simp [D.mem_itemList i]
theorem itemList_nodup (hk : D.k ≤ D.graph.n) : D.itemList.Nodup := by
classical
have hcard : D.itemList.toFinset.card = D.itemList.length := by
rw [D.itemList_toFinset, Finset.card_univ, D.card_item hk, D.itemList_length hk]
exact (Multiset.toFinset_card_eq_card_iff_nodup
(m := (D.itemList : Multiset D.Item))).mp hcard
def itemListEquiv (hk : D.k ≤ D.graph.n) : Fin D.itemList.length ≃ D.Item := by
classical
exact List.Nodup.getEquivOfForallMemList D.itemList (D.itemList_nodup hk) D.mem_itemList
@[simp] theorem itemListEquiv_apply (hk : D.k ≤ D.graph.n)
(i : Fin D.itemList.length) : D.itemListEquiv hk i = D.itemList.get i := rfl
end BinPackingGap.InventoryData
end
end OAI