openAI-math-dataset / lean /OAI /Computability /BinPacking /PCP /PreprocessingOverlayWords.lean
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import OAI.Computability.BinPacking.PCP.PreprocessingLazyWords
namespace OAI
namespace BinPackingGames.Foundations.PCP.PreprocessingOverlayWords
open PortTables GraphTables PreprocessingOverlayTables
open Complexity
variable {n d e : Nat}
abbrev row := @PreprocessingLazyWords.row
abbrev trueRelation := PreprocessingLazyWords.trueRelation
def oldReverseMap (d e j : Nat) : Nat := (d + e) * (j / d) + j % d
def expanderReverseMap (d e j : Nat) : Nat := (d + e) * (j / e) + d + j % e
def oldRow (G : PortTables.Table n d) (e : Nat) (v : Fin n) (p : Fin d) :
DartRow n (n * (d + e)) :=
⟨v, rowIndex n (d + e) ((rotation G (v, p)).1,
overlayPorts d e (.inl (rotation G (v, p)).2)),
G.relations[rowIndex n d (v, p)]⟩
def expanderRow (d : Nat) (H : ExpanderTables.Table n e) (v : Fin n) (p : Fin e) :
DartRow n (n * (d + e)) :=
⟨v, rowIndex n (d + e) ((ExpanderTables.lookup H (v, p)).1,
overlayPorts d e (.inr (ExpanderTables.lookup H (v, p)).2)), trueRelation⟩
private theorem relation_ext {r s : RelationTable}
(h : ∀ a b, relationAt r a b = relationAt s a b) : r = s := by
apply Vector.ext
intro i hi
simpa only [relationAt, Prod.eta, Equiv.apply_symm_apply, Fin.getElem_fin] using
h (relationIndex.symm ⟨i, hi⟩).1 (relationIndex.symm ⟨i, hi⟩).2
theorem row_overlay_old (G : PortTables.Table n d) (H : ExpanderTables.Table n e)
(v : Fin n) (p : Fin d) :
row (overlay G H) v (overlayPorts d e (.inl p)) = oldRow G e v p := by
have hr : (overlay G H).reverseIndex[rowIndex n (d + e) (v, overlayPorts d e (.inl p))] =
rowIndex n (d + e) ((rotation G (v, p)).1,
overlayPorts d e (.inl (rotation G (v, p)).2)) := by
rw [← rowIndex_rotation, overlay_rotation_old]
have hp : (overlay G H).relations[rowIndex n (d + e) (v, overlayPorts d e (.inl p))] =
G.relations[rowIndex n d (v, p)] := by
apply relation_ext
exact overlay_accepts_old G H v p
exact congrArg₂ (DartRow.mk v) hr hp
theorem row_overlay_expander (G : PortTables.Table n d) (H : ExpanderTables.Table n e)
(v : Fin n) (p : Fin e) :
row (overlay G H) v (overlayPorts d e (.inr p)) = expanderRow d H v p := by
have hr : (overlay G H).reverseIndex[rowIndex n (d + e) (v, overlayPorts d e (.inr p))] =
rowIndex n (d + e) ((ExpanderTables.lookup H (v, p)).1,
overlayPorts d e (.inr (ExpanderTables.lookup H (v, p)).2)) := by
rw [← rowIndex_rotation, overlay_rotation_expander]
have hp : (overlay G H).relations[rowIndex n (d + e) (v, overlayPorts d e (.inr p))] =
trueRelation := by
apply relation_ext
intro a b
simpa only [PortTables.accepts, relationAt, trueRelation,
PreprocessingLazyWords.trueRelation, Fin.getElem_fin, Vector.getElem_replicate] using
overlay_accepts_expander G H v p a b
exact congrArg₂ (DartRow.mk v) hr hp
theorem oldRow_reverse_val (G : PortTables.Table n d) (v : Fin n) (p : Fin d) :
(oldRow G e v p).reverseIndex.val = oldReverseMap d e (row G v p).reverseIndex.val := by
simp only [oldRow, rowIndex_val, overlayPorts_inl_val, oldReverseMap, row,
PreprocessingLazyWords.row]
change (G.reverseIndex[rowIndex n d (v, p)]).val % d +
(d + e) * ((G.reverseIndex[rowIndex n d (v, p)]).val / d) = _
omega
theorem expanderRow_reverse_val (H : ExpanderTables.Table n e) (v : Fin n) (p : Fin e) :
(expanderRow d H v p).reverseIndex.val =
expanderReverseMap d e (ExpanderTables.reverseIndex H (ExpanderTables.rowIndex n e (v, p))).val := by
simp only [expanderRow, rowIndex_val, overlayPorts_inr_val, expanderReverseMap]
change d + (ExpanderTables.reverseIndex H (ExpanderTables.rowIndex n e (v, p))).val % e +
(d + e) * ((ExpanderTables.reverseIndex H (ExpanderTables.rowIndex n e (v, p))).val / e) = _
omega
theorem oldRow_words (G : PortTables.Table n d) (v : Fin n) (p : Fin d) :
rowWords (oldRow G e v p) =
[v.val, oldReverseMap d e (row G v p).reverseIndex.val] ++
relationWords (row G v p).relation := by
rw [rowWords, oldRow_reverse_val]
rfl
theorem expanderRow_words (H : ExpanderTables.Table n e) (v : Fin n) (p : Fin e) :
rowWords (expanderRow d H v p) =
[v.val, expanderReverseMap d e
(ExpanderTables.reverseIndex H (ExpanderTables.rowIndex n e (v, p))).val] ++
List.replicate 4096 1 := by
rw [rowWords, expanderRow_reverse_val]
exact congrArg (fun rs => [v.val, expanderReverseMap d e
(ExpanderTables.reverseIndex H (ExpanderTables.rowIndex n e (v, p))).val] ++ rs)
PreprocessingLazyWords.relationWords_true
theorem ofFn_overlayPorts {α : Type*} (f : Fin (d + e) → α) :
List.ofFn f = List.ofFn (fun p => f (overlayPorts d e (.inl p))) ++
List.ofFn (fun p => f (overlayPorts d e (.inr p))) := by
rw [List.ofFn_add]
rfl
def vertexRows (G : PortTables.Table n d) (H : ExpanderTables.Table n e) (v : Fin n) :
List (DartRow n (n * (d + e))) :=
List.ofFn (oldRow G e v) ++ List.ofFn (expanderRow d H v)
theorem vertexRows_length (G : PortTables.Table n d) (H : ExpanderTables.Table n e) (v : Fin n) :
(vertexRows G H v).length = d + e := by
simp only [vertexRows, List.length_append, List.length_ofFn]
theorem flatRows_overlay (G : PortTables.Table n d) (H : ExpanderTables.Table n e) :
(flatRows (overlay G H)).toList = (List.ofFn (vertexRows G H)).flatten := by
rw [PreprocessingLazyWords.flatRows_list]
apply congrArg List.flatten
congr 1
funext v
rw [ofFn_overlayPorts]
simp only [row_overlay_old, row_overlay_expander]
rfl
theorem vertexRows_words (G : PortTables.Table n d) (H : ExpanderTables.Table n e) (v : Fin n) :
(vertexRows G H v).flatMap rowWords =
(List.ofFn fun p : Fin d =>
[v.val, oldReverseMap d e (row G v p).reverseIndex.val] ++
relationWords (row G v p).relation).flatten ++
(List.ofFn fun p : Fin e =>
[v.val, expanderReverseMap d e
(ExpanderTables.reverseIndex H (ExpanderTables.rowIndex n e (v, p))).val] ++
List.replicate 4096 1).flatten := by
have ho : rowWords ∘ oldRow G e v = fun p : Fin d =>
[v.val, oldReverseMap d e (row G v p).reverseIndex.val] ++
relationWords (row G v p).relation := by
funext p
exact oldRow_words G v p
have he : rowWords ∘ expanderRow d H v = fun p : Fin e =>
[v.val, expanderReverseMap d e
(ExpanderTables.reverseIndex H (ExpanderTables.rowIndex n e (v, p))).val] ++
List.replicate 4096 1 := by
funext p
exact expanderRow_words H v p
simp only [vertexRows, List.flatMap_def, List.map_append, List.map_ofFn, List.flatten_append]
rw [ho, he]
theorem tableWords_overlay (G : PortTables.Table n d) (H : ExpanderTables.Table n e) :
PortTables.tableWords (overlay G H) =
[n, n * (d + e)] ++ (List.ofFn (vertexRows G H)).flatten.flatMap rowWords := by
rw [PortTables.tableWords_eq, flatRows_overlay]
theorem tableBits_overlay (G : PortTables.Table n d) (H : ExpanderTables.Table n e) :
PortTables.tableBits (overlay G H) = encodeWords
([n, n * (d + e)] ++ (List.ofFn (vertexRows G H)).flatten.flatMap rowWords) := by
change encodeWords (PortTables.tableWords (overlay G H)) = _
rw [tableWords_overlay]
theorem rotationWords_vertices (H : ExpanderTables.Table n e) :
ExpanderTableWords.rotationWords H =
(List.ofFn fun v : Fin n => List.ofFn fun p : Fin e =>
(ExpanderTables.reverseIndex H (ExpanderTables.rowIndex n e (v, p))).val).flatten := by
have hflat : ExpanderTableWords.rotationWords H =
List.ofFn (fun i : Fin (n * e) => (ExpanderTables.reverseIndex H i).val) := by
apply List.ext_getElem
· simp [ExpanderTableWords.rotationWords_length]
· intro i hi hj
rw [ExpanderTableWords.rotationWords_getElem H i (by simpa using hi)]
simp only [List.getElem_ofFn]
rw [hflat, PreprocessingLazyWords.ofFn_rowIndex]
rfl
end BinPackingGames.Foundations.PCP.PreprocessingOverlayWords
end OAI