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Add lean source and binary files (part 47)
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import OAI.Combinatorics.LowSpaceSubsetSum.Representation.RepresentationStoredRecords
namespace OAI
/-! # Semantic maps for the mutable reader structures
Mapping records preserves the tournament paths and all cursor coordinates.
Immutable backing arrays are mapped once; they are not copied by a read.
-/
namespace LowSpaceSubsetSum
namespace Tournament
variable {α β : Type*}
def map (f : α → β) : {d : ℕ} → Tree α d → Tree β d
| 0, .leaf v => .leaf (v.map f)
| _d + 1, .node w l r => .node (w.map f) (map f l) (map f r)
@[simp] theorem winner_map (f : α → β) {d : ℕ} (t : Tree α d) :
winner (map f t) = (winner t).map f := by cases t <;> rfl
@[simp] theorem nodes_map (f : α → β) {d : ℕ} (t : Tree α d) :
nodes (map f t) = nodes t := by
induction t with
| leaf _ => rfl
| node _ _ _ ihl ihr => simp only [map, nodes, ihl, ihr]
theorem pick_map (f : α → β) (key : β → ℤ) (a b : Option α) :
(pick (fun x => key (f x)) a b).map f = pick key (a.map f) (b.map f) := by
cases a <;> cases b <;> simp only [pick, Option.map_none, Option.map_some]
split <;> rfl
theorem node_map (f : α → β) (key : β → ℤ) {d : ℕ} (l r : Tree α d) :
map f (node (fun x => key (f x)) l r) = node key (map f l) (map f r) := by
simp only [node, map, pick_map, winner_map]
theorem valid_map (f : α → β) (key : β → ℤ) {d : ℕ} (t : Tree α d)
(h : Valid (fun x => key (f x)) t) : Valid key (map f t) := by
induction t with
| leaf _ => trivial
| node w l r ihl ihr =>
refine ⟨?_, ihl h.2.1, ihr h.2.2⟩
rw [h.1, pick_map, winner_map, winner_map]
theorem lookup_map (f : α → β) {d : ℕ} (t : Tree α d) (p : Fin d → Bool) :
lookup (map f t) p = (lookup t p).map f := by
induction t with
| leaf _ => rfl
| node _ _ _ ihl ihr =>
simp only [map, lookup]
split <;> simp only [ihl, ihr]
theorem replace_map (f : α → β) (key : β → ℤ) {d : ℕ} (t : Tree α d)
(p : Fin d → Bool) (v : Option α) :
map f (replace (fun x => key (f x)) t p v) = replace key (map f t) p (v.map f) := by
induction t with
| leaf _ => rfl
| node _ _ _ ihl ihr =>
simp only [map, replace]
split <;> simp only [node_map, ihl, ihr]
theorem build_map (f : α → β) (key : β → ℤ) (d : ℕ)
(front : (Fin d → Bool) → Option α) :
map f (build (fun x => key (f x)) d front) =
build key d (fun p => (front p).map f) := by
induction d with
| zero => rfl
| succ d ih => simp only [build, node_map, ih]
end Tournament
namespace CyclicCursor
variable {α β : Type*} {n : ℕ} [NeZero n]
theorem trace_map (f : α → β) (a : Fin n → α) (k : ℕ) (c : State n) :
(trace a k c).map f = trace (fun i => f (a i)) k c := by
induction k generalizing c with
| zero => rfl
| succ k ih =>
simp only [trace]
split <;> simp only [List.map_nil, List.map_cons, ih]
end CyclicCursor
namespace SliceCursor
variable {α β : Type*}
def mapRange (f : α → β) (xs : Array α) (r : Range xs.size) : Range (xs.map f).size :=
⟨r.lo, r.length, by simpa using r.bounded⟩
def mapState (f : α → β) (xs : Array α) (s : State xs.size) : State (xs.map f).size :=
⟨mapRange f xs s.range, s.cursor⟩
theorem values_map (f : α → β) (xs : Array α) (r : Range xs.size) (i : Fin r.length) :
values (xs.map f) (mapRange f xs r) i = f (values xs r i) := by
simp only [values, mapRange, Array.getElem_map]
theorem next_map (f : α → β) (xs : Array α) (s : State xs.size) :
(next xs s).map (fun z => (f z.1, mapState f xs z.2)) =
next (xs.map f) (mapState f xs s) := by
cases h : s.cursor with
| none => simp only [next, mapState, h, Option.map_none]
| some c =>
simp only [next, mapState, h]
split <;> simp only [Option.map_none, Option.map_some, values_map]
rfl
theorem output_map (f : α → β) (xs : Array α) (s : State xs.size) :
(output xs s).map f = output (xs.map f) (mapState f xs s) := by
cases h : s.cursor with
| none => simp only [output, mapState, h, List.map_nil]
| some c =>
have : NeZero s.range.length := ⟨by have := c.position.isLt; omega⟩
simp only [output, mapState, h, CyclicCursor.trace_map]
congr 1
funext i
exact (values_map f xs s.range i).symm
end SliceCursor
namespace PairCursor
variable {α β γ δ : Type*}
def mapState (f : α → γ) (g : β → δ) (xs : Array β) (s : State α xs.size) :
State γ (xs.map g).size := ⟨f s.left, SliceCursor.mapState g xs s.cursor⟩
theorem next_map (f : α → γ) (g : β → δ) (xs : Array β) (s : State α xs.size) :
(next xs s).map (fun z => (Prod.map f g z.1, mapState f g xs z.2)) =
next (xs.map g) (mapState f g xs s) := by
have h := SliceCursor.next_map g xs s.cursor
simp only [next, mapState]
rw [← h]
simp only [Option.map_map]
rfl
theorem output_map (f : α → γ) (g : β → δ) (xs : Array β) (s : State α xs.size) :
(output xs s).map (Prod.map f g) = output (xs.map g) (mapState f g xs s) := by
change ((SliceCursor.output xs s.cursor).map (fun y => (s.left, y))).map (Prod.map f g) =
(SliceCursor.output (xs.map g) (SliceCursor.mapState g xs s.cursor)).map
(fun y => (f s.left, y))
rw [← SliceCursor.output_map g xs s.cursor]
simp only [List.map_map]
rfl
end PairCursor
namespace FilteredStream
variable {α β γ δ : Type*}
def mapCursor (f : α → γ) (g : β → δ) (xs : Array β) :
Cursor (α := α) xs → Cursor (α := γ) (xs.map g) :=
Option.map (PairCursor.mapState f g xs)
theorem read_map (f : α → γ) (g : β → δ) (xs : Array β) (s : Cursor (α := α) xs) :
(read xs s).map (fun z => (Prod.map f g z.1, mapCursor f g xs z.2)) =
read (xs.map g) (mapCursor f g xs s) := by
cases s with
| none => rfl
| some s =>
simp only [read, PaddedRows.next, mapCursor, Option.map_some]
rw [← PairCursor.next_map f g xs s]
simp only [Option.map_map]
rfl
theorem view_map (f : α → γ) (g : β → δ) (xs : Array β) (s : Cursor (α := α) xs) :
(view xs s).map (Prod.map f g) = view (xs.map g) (mapCursor f g xs s) := by
cases s with
| none => rfl
| some s => exact PairCursor.output_map f g xs s
end FilteredStream
namespace PaddedRows
variable {α β : Type*}
theorem rows_map (f : α → β) (xs : Array α) (d : ℕ) (p : RowMerge.Path d) :
(rows xs d p).map f = rows (xs.map f) d p := by
simp only [rows, Array.size_map]
split <;> simp only [Option.map_some, Option.map_none, Array.getElem_map]
end PaddedRows
namespace RowMerge
variable {α β σ τ : Type*} {d : ℕ}
def mapFront (f : α → β) (g : σ → τ) (x : Front d α σ) : Front d β τ :=
⟨x.row, f x.value, g x.after⟩
theorem front_map (f : α → β) (g : σ → τ)
(readA : σ → Option (α × σ)) (readB : τ → Option (β × τ))
(hr : ∀ s, (readA s).map (fun z => (f z.1, g z.2)) = readB (g s))
(p : Path d) (s : σ) :
(front readA p s).map (mapFront f g) = front readB p (g s) := by
unfold front
rw [← hr]
simp only [Option.map_map]
rfl
theorem start_map (f : α → β) (g : σ → τ) (key : β → ℤ)
(readA : σ → Option (α × σ)) (readB : τ → Option (β × τ))
(hr : ∀ s, (readA s).map (fun z => (f z.1, g z.2)) = readB (g s))
(rows : Path d → σ) :
Tournament.map (mapFront f g) (start (fun x => key (f x)) readA rows) =
start key readB (fun p => g (rows p)) := by
unfold start
change Tournament.map (mapFront f g)
(Tournament.build (fun x => (fun y : Front d β τ => key y.value) (mapFront f g x))
d (fun p => front readA p (rows p))) = _
rw [Tournament.build_map (mapFront f g) (fun y : Front d β τ => key y.value) d
(fun p => front readA p (rows p))]
congr 1
funext p
exact front_map f g readA readB hr p (rows p)
theorem advance_map (f : α → β) (g : σ → τ) (key : β → ℤ)
(readA : σ → Option (α × σ)) (readB : τ → Option (β × τ))
(hr : ∀ s, (readA s).map (fun z => (f z.1, g z.2)) = readB (g s))
(t : Tournament.Tree (Front d α σ) d) :
(advance (fun x => key (f x)) readA t).map
(fun z => (f z.1, Tournament.map (mapFront f g) z.2)) =
advance key readB (Tournament.map (mapFront f g) t) := by
simp only [advance, Tournament.winner_map]
cases h : Tournament.winner t with
| none => rfl
| some x =>
simp only [Option.map_some]
congr 1
apply Prod.ext
· rfl
change Tournament.map (mapFront f g)
(Tournament.replace (fun y => key (mapFront f g y).value) t x.row
(front readA x.row x.after)) =
Tournament.replace (fun y => key y.value) (Tournament.map (mapFront f g) t)
x.row (front readB x.row (g x.after))
rw [Tournament.replace_map (mapFront f g) (fun y : Front d β τ => key y.value)
t x.row (front readA x.row x.after), front_map f g readA readB hr]
theorem aligned_map (f : α → β) (g : σ → τ)
(t : Tournament.Tree (Front d α σ) d) (h : Aligned t) :
Aligned (Tournament.map (mapFront f g) t) := by
intro p y hy
rw [Tournament.lookup_map] at hy
obtain ⟨x, hx, he⟩ := Option.map_eq_some_iff.mp hy
rw [← he]
exact h p x hx
theorem remaining_map (f : α → β) (g : σ → τ)
(viewA : σ → List α) (viewB : τ → List β)
(hv : ∀ s, (viewA s).map f = viewB (g s))
(t : Tournament.Tree (Front d α σ) d) (p : Path d) :
remaining viewB (Tournament.map (mapFront f g) t) p = (remaining viewA t p).map f := by
unfold remaining
rw [Tournament.lookup_map]
cases ht : Tournament.lookup t p with
| none => rfl
| some x => simp only [Option.map_some, mapFront, List.map_cons, hv]
theorem rowsSorted_map (f : α → β) (g : σ → τ) (key : β → ℤ)
(viewA : σ → List α) (viewB : τ → List β)
(hv : ∀ s, (viewA s).map f = viewB (g s))
(t : Tournament.Tree (Front d α σ) d) (h : RowsSorted (fun x => key (f x)) viewA t) :
RowsSorted key viewB (Tournament.map (mapFront f g) t) := by
intro p
rw [remaining_map f g viewA viewB hv, List.pairwise_map]
exact h p
theorem potential_map (f : α → β) (g : σ → τ)
(viewA : σ → List α) (viewB : τ → List β)
(hv : ∀ s, (viewA s).map f = viewB (g s))
(t : Tournament.Tree (Front d α σ) d) :
potential viewB (Tournament.map (mapFront f g) t) = potential viewA t := by
unfold potential
apply Finset.sum_congr rfl
intro p _
rw [remaining_map f g viewA viewB hv, List.length_map]
theorem trace_map (f : α → β) (g : σ → τ) (key : β → ℤ)
(readA : σ → Option (α × σ)) (readB : τ → Option (β × τ))
(hr : ∀ s, (readA s).map (fun z => (f z.1, g z.2)) = readB (g s))
(k : ℕ) (t : Tournament.Tree (Front d α σ) d) :
(trace (fun x => key (f x)) readA k t).map f =
trace key readB k (Tournament.map (mapFront f g) t) := by
induction k generalizing t with
| zero => rfl
| succ k ih =>
have h := advance_map f g key readA readB hr t
cases ha : advance (fun x => key (f x)) readA t with
| none =>
have hb : advance key readB (Tournament.map (mapFront f g) t) = none := by
simpa only [ha, Option.map_none] using h.symm
simp only [trace, ha, hb, List.map_nil]
| some z =>
obtain ⟨a, t'⟩ := z
have hb : advance key readB (Tournament.map (mapFront f g) t) =
some (f a, Tournament.map (mapFront f g) t') := by
simpa only [ha, Option.map_some] using h.symm
simp only [trace, ha, hb, List.map_cons, ih]
end RowMerge
namespace MergedReader
variable {α β σ τ : Type*} {d : ℕ}
def mapState (f : α → β) (g : σ → τ) (key : β → ℤ)
(viewA : σ → List α) (viewB : τ → List β)
(hv : ∀ s, (viewA s).map f = viewB (g s))
(s : State (fun x => key (f x)) viewA d) : State key viewB d :=
⟨Tournament.map (RowMerge.mapFront f g) s.tree,
Tournament.valid_map (RowMerge.mapFront f g) (fun x => key x.value) s.tree s.valid,
RowMerge.aligned_map f g s.tree s.aligned,
RowMerge.rowsSorted_map f g key viewA viewB hv s.tree s.sorted⟩
theorem next_map (f : α → β) (g : σ → τ) (key : β → ℤ)
(readA : σ → Option (α × σ)) (readB : τ → Option (β × τ))
(hr : ∀ s, (readA s).map (fun z => (f z.1, g z.2)) = readB (g s))
(viewA : σ → List α) (viewB : τ → List β)
(hv : ∀ s, (viewA s).map f = viewB (g s))
(ha : RowMerge.IsReader readA viewA) (hb : RowMerge.IsReader readB viewB)
(s : State (fun x => key (f x)) viewA d) :
(next (fun x => key (f x)) readA viewA ha s).map
(fun z => (f z.1, mapState f g key viewA viewB hv z.2)) =
next key readB viewB hb (mapState f g key viewA viewB hv s) := by
have h := RowMerge.advance_map f g key readA readB hr s.tree
cases he : RowMerge.advance (fun x => key (f x)) readA s.tree with
| none =>
have h' : RowMerge.advance key readB (Tournament.map (RowMerge.mapFront f g) s.tree) = none := by
simpa only [he, Option.map_none] using h.symm
rw [next_none _ _ _ _ _ he, next_none _ _ _ _ _ h']
rfl
| some z =>
obtain ⟨a, t⟩ := z
have h' : RowMerge.advance key readB (Tournament.map (RowMerge.mapFront f g) s.tree) =
some (f a, Tournament.map (RowMerge.mapFront f g) t) := by
simpa only [he, Option.map_some] using h.symm
rw [next_some _ _ _ _ _ he, next_some _ _ _ _ _ h']
rfl
theorem output_map (f : α → β) (g : σ → τ) (key : β → ℤ)
(readA : σ → Option (α × σ)) (readB : τ → Option (β × τ))
(hr : ∀ s, (readA s).map (fun z => (f z.1, g z.2)) = readB (g s))
(viewA : σ → List α) (viewB : τ → List β)
(hv : ∀ s, (viewA s).map f = viewB (g s))
(s : State (fun x => key (f x)) viewA d) :
(output (fun x => key (f x)) readA viewA s).map f =
output key readB viewB (mapState f g key viewA viewB hv s) := by
unfold output
rw [show RowMerge.potential viewB (mapState f g key viewA viewB hv s).tree =
RowMerge.potential viewA s.tree from RowMerge.potential_map f g viewA viewB hv s.tree]
exact RowMerge.trace_map f g key readA readB hr _ _
end MergedReader
end LowSpaceSubsetSum
end OAI