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Add lean source and binary files (part 46)
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import OAI.Combinatorics.LowSpaceSubsetSum.Separators.SeparatorBlocks
namespace OAI
/-! # Record-map refinement of the complete separator execution
Mapping stored records to their mathematical views preserves not only
acceptance but the original scan and workspace ledgers.
-/
namespace LowSpaceSubsetSum.SeparatorExecutionMap
variable {α β γ δ : Type*}
private def mapOut (f : α → β) (out : List α × ℕ) : List β × ℕ := (out.1.map f, out.2)
private theorem merge_map (f : α → β) (cmp : β → β → Bool) (xs ys : List α) :
CountedSort.merge cmp (xs.map f) (ys.map f) =
mapOut f (CountedSort.merge (fun x y => cmp (f x) (f y)) xs ys) := by
induction xs generalizing ys with
| nil => simp [CountedSort.merge, mapOut]
| cons x xs ih =>
induction ys with
| nil => simp [CountedSort.merge, mapOut]
| cons y ys ihy =>
cases h : cmp (f x) (f y) with
| false =>
simp only [List.map_cons] at ihy
simp only [List.map_cons, CountedSort.merge, h, Bool.false_eq_true, ↓reduceIte]
rw [ihy]
simp only [mapOut, List.map_cons]
| true =>
have hi := ih (y :: ys)
simp only [List.map_cons] at hi
simp only [List.map_cons, CountedSort.merge, h, ↓reduceIte]
rw [hi]
simp only [mapOut, List.map_cons]
private theorem sortRun_split {α : Type*} (cmp : α → α → Bool) (k : ℕ) (xs : List α)
(h : 2 ≤ xs.length) :
CountedSort.run cmp (k + 1) xs =
let cut := (xs.length + 1) / 2
let left := CountedSort.run cmp k (xs.take cut)
let right := CountedSort.run cmp k (xs.drop cut)
let out := CountedSort.merge cmp left.1 right.1
(out.1, left.2 + right.2 + 3 * xs.length + out.2 + 1) := by
cases xs with
| nil => simp at h
| cons x xs => cases xs with
| nil => simp at h
| cons y ys => rfl
private theorem sortRun_map (f : α → β) (cmp : β → β → Bool) (k : ℕ) (xs : List α) :
CountedSort.run cmp k (xs.map f) =
mapOut f (CountedSort.run (fun x y => cmp (f x) (f y)) k xs) := by
induction k generalizing xs with
| zero => rfl
| succ k ih =>
cases xs with
| nil => rfl
| cons x xs =>
cases xs with
| nil => rfl
| cons y rest =>
have hl : 2 ≤ (x :: y :: rest).length := by simp
rw [sortRun_split cmp k _ (by simpa only [List.length_map] using hl),
sortRun_split _ k _ hl]
simp only [List.length_map, ← List.map_take, ← List.map_drop, ih, mapOut, merge_map]
private theorem sort_map (f : α → β) (cmp : β → β → Bool) (xs : List α) :
CountedSort.sort cmp (xs.map f) =
mapOut f (CountedSort.sort (fun x y => cmp (f x) (f y)) xs) := by
simp only [CountedSort.sort, List.length_map, sortRun_map]
private theorem find_map (f : α → β) (h : γ → δ) (wx : β → ℤ) (wy : δ → ℤ)
(fuel : ℕ) (xs : List α) (ys : List γ) (queries : ℕ) :
SortedFind.runAcc SeparatorTerminal.read wx SeparatorTerminal.read wy fuel
(xs.map f) (ys.map h) queries =
SortedFind.runAcc SeparatorTerminal.read (wx ∘ f) SeparatorTerminal.read (wy ∘ h)
fuel xs ys queries := by
induction fuel generalizing xs ys queries with
| zero => rfl
| succ fuel ih =>
cases xs with
| nil => rfl
| cons x xs =>
cases ys with
| nil => rfl
| cons y ys =>
simp only [List.map_cons, SortedFind.runAcc, SeparatorTerminal.read, Function.comp_apply]
split
· simpa only [List.map_cons] using ih xs (y :: ys) (queries + 2)
· split
· simpa only [List.map_cons] using ih (x :: xs) ys (queries + 2)
· rfl
theorem terminal_map (f : α → β) (h : γ → δ) (wx : β → ℤ) (wy : δ → ℤ)
(target : ℤ) (xs : List α) (ys : List γ) :
SeparatorTerminal.run wx wy target (xs.map f) (ys.map h) =
SeparatorTerminal.run (wx ∘ f) (wy ∘ h) target xs ys := by
simp only [SeparatorTerminal.run, List.isEmpty_map, List.length_map]
split
· rfl
· simp only [SeparatorTerminal.sort, sort_map, mapOut, find_map, Function.comp_def]
theorem bounded_map (f : α → β) (h : γ → δ) (wx : β → ℤ) (wy : δ → ℤ)
(n : ℕ) (target : ℤ) (xs : List α) (ys : List γ) :
SeparatorTerminal.bounded n wx wy target (xs.map f) (ys.map h) =
SeparatorTerminal.bounded n (wx ∘ f) (wy ∘ h) target xs ys := by
simp only [SeparatorTerminal.bounded, List.length_map]
split
· exact terminal_map f h wx wy target xs ys
· rfl
private theorem keep_map (f : α → β) (inc : β → Array ℕ)
(lo hi : ℕ) (xs : List α) :
SeparatorTraversal.keep inc lo hi (xs.map f) =
(SeparatorTraversal.keep (inc ∘ f) lo hi xs).map f := by
simp only [SeparatorTraversal.keep, List.filter_map, Function.comp_def]
theorem traversal_map (f : α → β) (h : γ → δ) (inc₁ : β → Array ℕ) (inc₂ : δ → Array ℕ)
(leaf : ℕ → List β → List δ → SeparatorTraversal.Result)
(k lo hi : ℕ) (xs : List α) (ys : List γ) :
SeparatorTraversal.run inc₁ inc₂ leaf k lo hi (xs.map f) (ys.map h) =
SeparatorTraversal.run (inc₁ ∘ f) (inc₂ ∘ h)
(fun j as bs => leaf j (as.map f) (bs.map h)) k lo hi xs ys := by
induction k generalizing lo hi xs ys with
| zero =>
simp only [SeparatorTraversal.run, keep_map, List.isEmpty_map, List.length_map,
SeparatorTraversal.finish]
| succ k ih =>
simp only [SeparatorTraversal.run, keep_map, List.isEmpty_map, List.length_map,
SeparatorTraversal.finish, ih]
def block (f : α → β) (h : γ → δ) (b : SeparatorBlocks.Block β δ) :
SeparatorBlocks.Block α γ where
size := b.size
left := b.left ∘ f
right := b.right ∘ h
left_sorted := fun x => b.left_sorted (f x)
right_sorted := fun y => b.right_sorted (h y)
theorem blocks_map (f : α → β) (h : γ → δ) (wx : β → ℤ) (wy : δ → ℤ)
(n : ℕ) (target : ℤ) (blocks : List (SeparatorBlocks.Block β δ))
(xs : List α) (ys : List γ) :
SeparatorBlocks.check n wx wy target blocks (xs.map f) (ys.map h) =
SeparatorBlocks.check n (wx ∘ f) (wy ∘ h) target (blocks.map (block f h)) xs ys := by
induction blocks generalizing xs ys with
| nil => exact bounded_map f h wx wy n target xs ys
| cons b bs ih =>
simp only [SeparatorBlocks.check, List.map_cons, List.length_map]
split
· rw [traversal_map]
simp only [ih, block, SeparatorBlocks.depth]
· rfl
end LowSpaceSubsetSum.SeparatorExecutionMap
end OAI