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Add lean source and binary files (part 59)
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import Mathlib.Computability.TuringMachine.Computable
import Mathlib.Logic.Function.Iterate
import OAI.Computability.BinPacking.Model
import OAI.Computability.BinPacking.Reductions.Target
namespace OAI
namespace BinPackingGames.Foundations.Complexity
section
def encodeWords : List Nat → List Bool
| [] => []
| n :: ns => encodeWord n ++ encodeWords ns
def decodeWordsAux : List Bool → Nat → Option (List Nat)
| [], 0 => some []
| [], _ + 1 => none
| true :: bs, n => decodeWordsAux bs (n + 1)
| false :: bs, n => (decodeWordsAux bs 0).map (n :: ·)
def decodeWords (bs : List Bool) : Option (List Nat) := decodeWordsAux bs 0
theorem decodeWordsAux_word (n k : Nat) (bs : List Bool) :
decodeWordsAux (encodeWord n ++ bs) k =
(decodeWordsAux bs 0).map ((k + n) :: ·) := by
induction n generalizing k with
| zero => simp [encodeWord, decodeWordsAux]
| succ n ih =>
simp only [encodeWord, List.replicate_succ, List.cons_append, List.append_assoc,
decodeWordsAux]
simpa [encodeWord, Nat.add_assoc, Nat.add_comm, Nat.add_left_comm] using ih (k + 1)
@[simp] theorem decodeWords_encodeWords (ns : List Nat) :
decodeWords (encodeWords ns) = some ns := by
induction ns with
| nil => rfl
| cons n ns ih =>
simp only [decodeWords, encodeWords, decodeWordsAux_word, Nat.zero_add]
simpa [decodeWords] using congrArg (Option.map (n :: ·)) ih
theorem encodeWords_injective {xs ys : List Nat} (h : encodeWords xs = encodeWords ys) :
xs = ys := by
have decoded := congrArg decodeWords h
simpa only [decodeWords_encodeWords, Option.some.injEq] using decoded
@[simp] theorem encodeWord_length (n : Nat) : (encodeWord n).length = n + 1 := by
simp [encodeWord]
@[simp] theorem encodeWords_append (xs ys : List Nat) :
encodeWords (xs ++ ys) = encodeWords xs ++ encodeWords ys := by
induction xs with
| nil => rfl
| cons x xs ih => simp [encodeWords, ih, List.append_assoc]
@[simp] theorem encodeWords_length (ns : List Nat) :
(encodeWords ns).length = ns.sum + ns.length := by
induction ns with
| nil => rfl
| cons n ns ih => simp [encodeWords, ih]; omega
theorem encodeWords_length_le (ns : List Nat) (bound : Nat)
(bounded : ∀ n ∈ ns, n ≤ bound) :
(encodeWords ns).length ≤ ns.length * (bound + 1) := by
induction ns with
| nil => simp [encodeWords]
| cons n ns ih =>
have hn := bounded n (by simp)
have hns := ih (fun x hx => bounded x (by simp [hx]))
simp only [encodeWords, List.length_append, encodeWord_length, List.length_cons,
Nat.add_mul, Nat.one_mul]
omega
open Target
def literalWords {n : Nat} (literal : Literal n) : List Nat :=
[literal.variableIndex.val, if literal.positive then 1 else 0]
def clauseWords {n : Nat} (clause : Clause n) : List Nat :=
literalWords clause[0] ++ literalWords clause[1] ++ literalWords clause[2]
def formulaWords (formula : Formula) : List Nat :=
[formula.variables, formula.clauses.length] ++ formula.clauses.flatMap clauseWords
def formulaBits (formula : Formula) : List Bool := encodeWords (formulaWords formula)
@[simp] theorem literalWords_length {n : Nat} (literal : Literal n) :
(literalWords literal).length = 2 := by simp [literalWords]
@[simp] theorem clauseWords_length {n : Nat} (clause : Clause n) :
(clauseWords clause).length = 6 := by simp [clauseWords]
theorem clausesWords_length {n : Nat} (clauses : List (Clause n)) :
(clauses.flatMap clauseWords).length = 6 * clauses.length := by
induction clauses with
| nil => rfl
| cons clause clauses ih =>
simp only [List.flatMap_cons, List.length_append, clauseWords_length,
List.length_cons, ih, Nat.mul_add, Nat.mul_one]
omega
@[simp] theorem formulaWords_length (formula : Formula) :
(formulaWords formula).length = 2 + 6 * formula.clauses.length := by
simp only [formulaWords, List.length_append, List.length_cons, List.length_nil,
clausesWords_length]
theorem literalBits_length_le {n : Nat} (literal : Literal n) :
(encodeWords (literalWords literal)).length ≤ n + 2 := by
cases hp : literal.positive <;> simp [literalWords, hp]
theorem clauseBits_length_le {n : Nat} (clause : Clause n) :
(encodeWords (clauseWords clause)).length ≤ 3 * (n + 2) := by
have h0 := literalBits_length_le clause[0]
have h1 := literalBits_length_le clause[1]
have h2 := literalBits_length_le clause[2]
simp only [clauseWords, encodeWords_append, List.length_append]
omega
theorem clausesBits_length_le {n : Nat} (clauses : List (Clause n)) :
(encodeWords (clauses.flatMap clauseWords)).length ≤ clauses.length * (3 * (n + 2)) := by
induction clauses with
| nil => simp [encodeWords]
| cons clause clauses ih =>
have hc := clauseBits_length_le clause
simp only [List.flatMap_cons, encodeWords_append, List.length_append,
List.length_cons, Nat.add_mul, Nat.one_mul]
omega
theorem formulaBits_length_le (formula : Formula) :
(formulaBits formula).length ≤
formula.variables + formula.clauses.length + 2 +
formula.clauses.length * (3 * (formula.variables + 2)) := by
have h := clausesBits_length_le formula.clauses
simp only [formulaBits, formulaWords, encodeWords_append, List.length_append,
encodeWords, encodeWord_length, List.length_nil]
omega
end
open Target
def parseLiteral («variables» : Nat) : List Nat → Option (Literal «variables» × List Nat)
| index :: sign :: rest =>
if bounded : index < «variables» then
if sign = 0 then some (⟨⟨index, bounded⟩, false⟩, rest)
else if sign = 1 then some (⟨⟨index, bounded⟩, true⟩, rest)
else none
else none
| _ => none
@[simp] theorem parseLiteral_encoded {n : Nat} (literal : Literal n) (rest : List Nat) :
parseLiteral n (literalWords literal ++ rest) = some (literal, rest) := by
cases literal with
| mk index positive =>
cases positive <;> simp [literalWords, parseLiteral, index.isLt]
def parseClause («variables» : Nat) (words : List Nat) : Option (Clause «variables» × List Nat) := do
let (a, words) ← parseLiteral «variables» words
let (b, words) ← parseLiteral «variables» words
let (c, words) ← parseLiteral «variables» words
return (⟨#[a, b, c], rfl⟩, words)
theorem clause_three_entries {n : Nat} (clause : Clause n) :
(⟨#[clause[0], clause[1], clause[2]], rfl⟩ : Clause n) = clause := by
apply Vector.ext
intro i hi
have cases_i : i = 0 ∨ i = 1 ∨ i = 2 := by omega
rcases cases_i with rfl | rfl | rfl <;> rfl
@[simp] theorem parseClause_encoded {n : Nat} (clause : Clause n) (rest : List Nat) :
parseClause n (clauseWords clause ++ rest) = some (clause, rest) := by
simp [clauseWords, List.append_assoc, parseClause, parseLiteral_encoded,
clause_three_entries]
def parseClauses («variables» : Nat) : Nat → List Nat → Option (List (Clause «variables») × List Nat)
| 0, words => some ([], words)
| count + 1, words => do
let (clause, words) ← parseClause «variables» words
let (clauses, words) ← parseClauses «variables» count words
return (clause :: clauses, words)
@[simp] theorem parseClauses_encoded {n : Nat} (clauses : List (Clause n)) (rest : List Nat) :
parseClauses n clauses.length (clauses.flatMap clauseWords ++ rest) = some (clauses, rest) := by
induction clauses with
| nil => rfl
| cons clause clauses ih =>
simp [List.append_assoc, parseClauses, parseClause_encoded, ih]
def decodeFormulaWords : List Nat → Option Formula
| «variables» :: count :: words => do
let (clauses, trailing) ← parseClauses «variables» count words
if trailing = [] then some ⟨«variables», clauses⟩ else none
| _ => none
@[simp] theorem decodeFormulaWords_encoded (formula : Formula) :
decodeFormulaWords (formulaWords formula) = some formula := by
cases formula with
| mk «variables» clauses =>
have parsed := parseClauses_encoded clauses []
simp only [List.append_nil] at parsed
simp [decodeFormulaWords, formulaWords, parsed]
def decodeFormulaBits (bits : List Bool) : Option Formula :=
decodeWords bits >>= decodeFormulaWords
@[simp] theorem decodeFormulaBits_encoded (formula : Formula) :
decodeFormulaBits (formulaBits formula) = some formula := by
simp [decodeFormulaBits, formulaBits]
theorem formulaBits_injective {first second : Formula}
(same : formulaBits first = formulaBits second) : first = second := by
have parsed := congrArg decodeFormulaBits same
simpa only [decodeFormulaBits_encoded, Option.some.injEq] using parsed
def parseLabel (alphabet value : Nat) : Option (Fin alphabet) :=
if bounded : value < alphabet then some ⟨value, bounded⟩ else none
@[simp] theorem parseLabel_value {q : Nat} (label : Fin q) :
parseLabel q label.val = some label := by simp [parseLabel, label.isLt]
@[simp] theorem parseLabels_values {q : Nat} (labels : List (Fin q)) :
(labels.map Fin.val).mapM (parseLabel q) = some labels := by
induction labels with
| nil => rfl
| cons label labels ih => simp [ih]
def parseImages (alphabet : Nat) (words : List Nat) : Option (Vector (Fin alphabet) alphabet) := do
let labels ← words.mapM (parseLabel alphabet)
if length_ok : labels.length = alphabet then
some ⟨labels.toArray, by simpa using length_ok⟩
else none
@[simp] theorem parseImages_values {q : Nat} (images : Vector (Fin q) q) :
parseImages q (images.toList.map Fin.val) = some images := by
unfold parseImages
rw [parseLabels_values]
simp
exact Vector.toArray_toList
def findPreimage {q : Nat} (images : Vector (Fin q) q) (label : Fin q) : Fin q :=
((List.finRange q).find? (fun x => decide (images[x] = label))).getD label
theorem findPreimage_permutation {q : Nat} (table : PermutationTable q) (label : Fin q) :
findPreimage table.images label = table.inverseImages[label] := by
have exists_preimage :
((List.finRange q).find? (fun x => decide (table.images[x] = label))).isSome := by
apply List.find?_isSome.mpr
exact ⟨table.inverseImages[label], List.mem_finRange _, by
simpa only [decide_eq_true_eq] using table.rightInverse label⟩
cases found : (List.finRange q).find? (fun x => decide (table.images[x] = label)) with
| none =>
rw [found] at exists_preimage
contradiction
| some x =>
have image_eq : table.images[x] = label := by
simpa using List.find?_some found
have x_eq := table.images_injective (image_eq.trans (table.rightInverse label).symm)
unfold findPreimage
rw [found]
exact x_eq
def searchedInverse {q : Nat} (images : Vector (Fin q) q) : Vector (Fin q) q :=
Vector.ofFn (findPreimage images)
theorem searchedInverse_permutation {q : Nat} (table : PermutationTable q) :
searchedInverse table.images = table.inverseImages := by
apply Vector.ext
intro i hi
simpa [searchedInverse] using findPreimage_permutation table ⟨i, hi⟩
def tableWords {q : Nat} (table : PermutationTable q) : List Nat :=
table.images.toList.map Fin.val
def parsePermutation (alphabet : Nat) (words : List Nat) : Option (PermutationTable alphabet) := do
let images ← parseImages alphabet words
let inverseImages := searchedInverse images
if left : ∀ label : Fin alphabet, inverseImages[images[label]] = label then
if right : ∀ label : Fin alphabet, images[inverseImages[label]] = label then
some ⟨images, inverseImages, left, right⟩
else none
else none
@[simp] theorem parsePermutation_encoded {q : Nat} (table : PermutationTable q) :
parsePermutation q (tableWords table) = some table := by
simp only [parsePermutation, tableWords, parseImages_values]
dsimp only [Bind.bind, Option.bind]
simp only [searchedInverse_permutation]
simp only [table.leftInverse, table.rightInverse, implies_true, dite_true]
@[simp] theorem tableWords_length {q : Nat} (table : PermutationTable q) :
(tableWords table).length = q := by simp [tableWords]
def constraintWords {n q : Nat} (constraint : Constraint n q) : List Nat :=
[constraint.source.val, constraint.target.val] ++ tableWords constraint.permutation
def parseConstraint (vertices alphabet : Nat) :
List Nat → Option (Constraint vertices alphabet × List Nat)
| source :: target :: words => do
let source ← parseLabel vertices source
let target ← parseLabel vertices target
let permutation ← parsePermutation alphabet (words.take alphabet)
return (⟨source, target, permutation⟩, words.drop alphabet)
| _ => none
@[simp] theorem parseConstraint_encoded {n q : Nat}
(constraint : Constraint n q) (rest : List Nat) :
parseConstraint n q (constraintWords constraint ++ rest) = some (constraint, rest) := by
cases constraint with
| mk source target permutation =>
have taken := List.take_left' (l₂ := rest) (tableWords_length permutation)
have dropped := List.drop_left' (l₂ := rest) (tableWords_length permutation)
simp [constraintWords, parseConstraint, taken, dropped]
def parseConstraints (vertices alphabet : Nat) :
Nat → List Nat → Option (List (Constraint vertices alphabet) × List Nat)
| 0, words => some ([], words)
| count + 1, words => do
let (constraint, words) ← parseConstraint vertices alphabet words
let (constraints, words) ← parseConstraints vertices alphabet count words
return (constraint :: constraints, words)
@[simp] theorem parseConstraints_encoded {n q : Nat}
(constraints : List (Constraint n q)) (rest : List Nat) :
parseConstraints n q constraints.length (constraints.flatMap constraintWords ++ rest) =
some (constraints, rest) := by
induction constraints with
| nil => rfl
| cons constraint constraints ih =>
simp [parseConstraints, List.append_assoc, ih]
def gameWords {q : Nat} (game : Instance q) : List Nat :=
[game.vertices, q, game.constraints.length] ++ game.constraints.flatMap constraintWords
def gameBits {q : Nat} (game : Instance q) : List Bool := encodeWords (gameWords game)
def decodeGameWords (alphabet : Nat) : List Nat → Option (Instance alphabet)
| vertices :: encodedAlphabet :: count :: words => do
if encodedAlphabet = alphabet then
let (constraints, trailing) ← parseConstraints vertices alphabet count words
if trailing = [] then
if nonempty : constraints ≠ [] then some ⟨vertices, constraints, nonempty⟩ else none
else none
else none
| _ => none
@[simp] theorem decodeGameWords_encoded {q : Nat} (game : Instance q) :
decodeGameWords q (gameWords game) = some game := by
cases game with
| mk vertices constraints nonempty =>
have parsed := parseConstraints_encoded constraints []
simp only [List.append_nil] at parsed
simp [decodeGameWords, gameWords, parsed, nonempty]
def decodeGameBits (alphabet : Nat) (bits : List Bool) : Option (Instance alphabet) :=
decodeWords bits >>= decodeGameWords alphabet
@[simp] theorem decodeGameBits_encoded {q : Nat} (game : Instance q) :
decodeGameBits q (gameBits game) = some game := by
simp [decodeGameBits, gameBits]
theorem gameBits_injective {q : Nat} {first second : Instance q}
(same : gameBits first = gameBits second) : first = second := by
have parsed := congrArg (decodeGameBits q) same
simpa only [decodeGameBits_encoded, Option.some.injEq] using parsed
@[simp] theorem constraintWords_length {n q : Nat} (constraint : Constraint n q) :
(constraintWords constraint).length = q + 2 := by simp [constraintWords]
theorem constraintsWords_length {n q : Nat} (constraints : List (Constraint n q)) :
(constraints.flatMap constraintWords).length = constraints.length * (q + 2) := by
induction constraints with
| nil => simp
| cons constraint constraints ih =>
simp only [List.flatMap_cons, List.length_append, constraintWords_length,
List.length_cons, Nat.add_mul, Nat.one_mul, ih]
omega
@[simp] theorem gameWords_length {q : Nat} (game : Instance q) :
(gameWords game).length = 3 + game.constraints.length * (q + 2) := by
simp only [gameWords, List.length_append, List.length_cons, List.length_nil,
constraintsWords_length]
end BinPackingGames.Foundations.Complexity
namespace BinPackingGames.Foundations.Complexity.MachineLookupSpec
def skipWord : List Bool → List Bool
| [] => []
| true :: bs => skipWord bs
| false :: bs => bs
@[simp] theorem skipWord_encodeWord (n : Nat) (bs : List Bool) :
skipWord (encodeWord n ++ bs) = bs := by
induction n with
| zero => simp [encodeWord, skipWord]
| succ n ih =>
simpa [encodeWord, List.replicate_succ, skipWord] using ih
theorem skipWord_iterate_encodeWords (i : Nat) (values : List Nat) :
(skipWord^[i]) (encodeWords values) = encodeWords (values.drop i) := by
induction i generalizing values with
| zero => rfl
| succ i ih =>
rw [Function.iterate_succ_apply]
cases values with
| nil => simpa [encodeWords, skipWord] using ih []
| cons n ns =>
simpa only [encodeWords, skipWord_encodeWord, List.drop_succ_cons] using ih ns
def headWord : List Bool → Option (List Bool)
| [] => none
| false :: _ => some [false]
| true :: bs => (headWord bs).map (true :: ·)
@[simp] theorem headWord_encodeWord (n : Nat) (bs : List Bool) :
headWord (encodeWord n ++ bs) = some (encodeWord n) := by
induction n with
| zero => simp [encodeWord, headWord]
| succ n ih =>
simpa [encodeWord, List.replicate_succ, headWord] using
congrArg (Option.map (true :: ·)) ih
@[simp] theorem headWord_encodeWords (values : List Nat) :
headWord (encodeWords values) = values.head?.map encodeWord := by
cases values with
| nil => rfl
| cons n ns => exact headWord_encodeWord n (encodeWords ns)
def lookupBits (i : Nat) (table : List Bool) : Option (List Bool) :=
headWord ((skipWord^[i]) table)
@[simp] theorem lookupBits_encodeWords (i : Nat) (values : List Nat) :
lookupBits i (encodeWords values) = values[i]?.map encodeWord := by
rw [lookupBits, skipWord_iterate_encodeWords, headWord_encodeWords,
List.head?_drop]
def lookupEncoded (index table : List Bool) : Option (List Bool) :=
match decodeWords index with
| some [i] => lookupBits i table
| _ => none
@[simp] theorem decodeWords_encodeWord (i : Nat) :
decodeWords (encodeWord i) = some [i] := by
simpa [encodeWords] using decodeWords_encodeWords [i]
@[simp] theorem lookupEncoded_encode (i : Nat) (values : List Nat) :
lookupEncoded (encodeWord i) (encodeWords values) =
values[i]?.map encodeWord := by
simp [lookupEncoded]
theorem lookupEncoded_some (i value : Nat) (values : List Nat)
(h : values[i]? = some value) :
lookupEncoded (encodeWord i) (encodeWords values) = some (encodeWord value) := by
simp [h]
theorem lookupEncoded_none (i : Nat) (values : List Nat)
(h : values.length ≤ i) :
lookupEncoded (encodeWord i) (encodeWords values) = none := by
simp [List.getElem?_eq_none h]
theorem encoded_selected_split (values : List Nat) (i value : Nat)
(h : values[i]? = some value) :
encodeWords values = encodeWords (values.take i) ++ encodeWord value ++
encodeWords (values.drop (i + 1)) := by
rcases List.getElem?_eq_some_iff.mp h with ⟨hi, hv⟩
have hs : values = values.take i ++ value :: values.drop (i + 1) := by
calc
values = values.take i ++ values.drop i := (List.take_append_drop i values).symm
_ = _ := by rw [List.drop_eq_getElem_cons hi, hv]
simpa only [encodeWords_append, encodeWords, List.append_assoc] using
congrArg encodeWords hs
def scannedBits (values : List Nat) (i : Nat) : Nat :=
(encodeWords (values.take (i + 1))).length
theorem encoded_prefix_length_le (values : List Nat) (i : Nat) :
(encodeWords (values.take i)).length ≤ (encodeWords values).length := by
have hs : encodeWords (values.take i) ++ encodeWords (values.drop i) =
encodeWords values := by
rw [← encodeWords_append, List.take_append_drop]
have hl := congrArg List.length hs
simp only [List.length_append] at hl
omega
theorem scannedBits_le (values : List Nat) (i : Nat) :
scannedBits values i ≤ (encodeWords values).length :=
encoded_prefix_length_le values (i + 1)
theorem scannedBits_of_some (values : List Nat) (i value : Nat)
(h : values[i]? = some value) :
scannedBits values i = (encodeWords (values.take i)).length + value + 1 := by
rcases List.getElem?_eq_some_iff.mp h with ⟨hi, hv⟩
simp [scannedBits, List.take_succ_eq_append_getElem hi, hv, encodeWords,
Nat.add_assoc]
theorem selected_scan_length_le (values : List Nat) (i value : Nat)
(h : values[i]? = some value) :
(encodeWords (values.take i)).length + value + 1 ≤
(encodeWords values).length := by
rw [← scannedBits_of_some values i value h]
exact scannedBits_le values i
theorem output_length_le (values : List Nat) (i value : Nat)
(h : values[i]? = some value) :
(encodeWord value).length ≤ (encodeWords values).length := by
have hs := selected_scan_length_le values i value h
rw [encodeWord_length]
omega
theorem index_length_le (values : List Nat) (i value : Nat)
(h : values[i]? = some value) :
(encodeWord i).length ≤ (encodeWords values).length := by
rcases List.getElem?_eq_some_iff.mp h with ⟨hi, _⟩
have hp : i ≤ (encodeWords (values.take i)).length := by
simp only [encodeWords_length, List.length_take, Nat.min_eq_left (Nat.le_of_lt hi)]
omega
have hs := selected_scan_length_le values i value h
rw [encodeWord_length]
omega
def steps : List Nat → Nat → Nat
| [], i => 2 * i + 2
| n :: _, 0 => n + 3
| n :: ns, i + 1 => n + 2 + steps ns i
theorem steps_le_encoded_length_strong (values : List Nat) (i : Nat) :
steps values i ≤ (encodeWords values).length + 2 * i + 2 := by
induction values generalizing i with
| nil => simp [steps, encodeWords]
| cons n ns ih =>
cases i with
| zero =>
simp only [steps, encodeWords, List.length_append, encodeWord_length]
omega
| succ i =>
have ht := ih i
simp only [steps, encodeWords, List.length_append, encodeWord_length]
omega
theorem steps_le_encoded_length (values : List Nat) (i : Nat) :
steps values i ≤ (encodeWords values).length + 2 * i + 3 := by
have h := steps_le_encoded_length_strong values i
omega
theorem steps_eq_scannedBits_of_lt (values : List Nat) (i : Nat)
(h : i < values.length) :
steps values i = scannedBits values i + i + 2 := by
induction values generalizing i with
| nil => simp at h
| cons n ns ih =>
cases i with
| zero => simp [steps, scannedBits, encodeWords, Nat.add_assoc]
| succ i =>
have ht := ih i (by simpa using h)
simp only [scannedBits] at ht
simp only [steps, scannedBits, List.take_succ_cons, encodeWords,
List.length_append, encodeWord_length]
omega
theorem steps_eq_scannedBits_of_some (values : List Nat) (i value : Nat)
(h : values[i]? = some value) :
steps values i = scannedBits values i + i + 2 := by
rcases List.getElem?_eq_some_iff.mp h with ⟨hi, _⟩
exact steps_eq_scannedBits_of_lt values i hi
theorem steps_add_length_of_invalid (values : List Nat) (i : Nat)
(h : values.length ≤ i) :
steps values i + values.length = (encodeWords values).length + 2 * i + 2 := by
induction values generalizing i with
| nil => simp [steps, encodeWords]
| cons n ns ih =>
cases i with
| zero => simp at h
| succ i =>
have ht := ih i (by simpa using h)
simp only [steps, encodeWords, List.length_append, encodeWord_length,
List.length_cons]
omega
theorem steps_le_input_encoding_size (values : List Nat) (i : Nat) :
steps values i ≤ (encodeWords values).length + 2 * (encodeWord i).length := by
have h := steps_le_encoded_length_strong values i
rw [encodeWord_length]
omega
end BinPackingGames.Foundations.Complexity.MachineLookupSpec
namespace BinPackingGames.Foundations.Complexity
def naturalWordsEncoding : Computability.Encoding (List Nat) Bool where
encode := encodeWords
decode := decodeWords
decode_encode := decodeWords_encodeWords
def formulaEncoding : Computability.Encoding Target.Formula Bool where
encode := formulaBits
decode := decodeFormulaBits
decode_encode := decodeFormulaBits_encoded
def gameEncoding (alphabet : Nat) : Computability.Encoding (Target.Instance alphabet) Bool where
encode := gameBits
decode := decodeGameBits alphabet
decode_encode := decodeGameBits_encoded
def prefixBitMachine (bit : Bool) : Turing.FinTM2 where
K := Unit
k₀ := ()
k₁ := ()
Γ _ := Bool
Λ := Unit
main := ()
σ := Unit
initialState := ()
m _ := .push () (fun _ => bit) .halt
noncomputable def prefixBitPolyTime (bit : Bool) :
Turing.TM2ComputableInPolyTime (id : List Bool → List Bool) id (bit :: ·) where
tm := prefixBitMachine bit
inputAlphabet := Equiv.refl Bool
outputAlphabet := Equiv.refl Bool
time := 1
outputsFun bs := {
steps := 1
evals_in_steps := by
change some (Turing.TM2.stepAux (.push () (fun _ => bit) .halt) ()
(fun _ : Unit => bs.map id)) =
some { l := none, var := (), stk := fun _ : Unit => (bit :: bs).map id }
simp [Turing.TM2.stepAux]
funext k
cases k
rfl
steps_le_m := by simp
}
def enlargePolynomialBound {α β αΓ βΓ : Type}
{ea : α → List αΓ} {eb : β → List βΓ} {f : α → β}
(certificate : Turing.TM2ComputableInPolyTime ea eb f)
(bound : Polynomial Nat)
(larger : ∀ n, certificate.time.eval n ≤ bound.eval n) :
Turing.TM2ComputableInPolyTime ea eb f where
toTM2ComputableAux := certificate.toTM2ComputableAux
time := bound
outputsFun a := {
toEvalsTo := (certificate.outputsFun a).toEvalsTo
steps_le_m := Nat.le_trans (certificate.outputsFun a).steps_le_m (larger _)
}
def composeMachinePhases {σ : Type} (step : σ → Option σ)
(start intermediate : σ) (finish : Option σ)
(p q : Polynomial Nat) (inputLength : Nat)
(first : StateTransition.EvalsToInTime step start (some intermediate) (p.eval inputLength))
(second : StateTransition.EvalsToInTime step intermediate finish (q.eval inputLength)) :
StateTransition.EvalsToInTime step start finish ((p + q).eval inputLength) := by
have composed := StateTransition.EvalsToInTime.trans step (p.eval inputLength)
(q.eval inputLength) start intermediate finish first second
simpa only [Polynomial.eval_add, Nat.add_comm] using composed
open Target
structure PolynomialGapReduction
(completenessError soundnessError : RationalError)
extends SemanticGapReduction completenessError soundnessError where
computation : Turing.TM2ComputableInPolyTime formulaEncoding.encode
(gameEncoding alphabet).encode reduce
end BinPackingGames.Foundations.Complexity
end OAI