Download lean/OAI/Computability/MinUncut/Model.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 4.7 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Computability/MinUncut/Model.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Computability/MinUncut/Model.lean
-
curl -L -o Model.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Computability/MinUncut/Model.lean
4.7 kB
| import Mathlib | |
| namespace OAI | |
| namespace MinUncutGames.BinaryFormula | |
| structure Literal where | |
| name : Nat | |
| positive : Bool | |
| deriving DecidableEq | |
| def Literal.eval (literal : Literal) (assignment : Nat → Bool) : Bool := | |
| if literal.positive then assignment literal.name else !(assignment literal.name) | |
| abbrev Clause := Vector Literal 3 | |
| def Clause.eval (clause : Clause) (assignment : Nat → Bool) : Bool := | |
| (clause[0].eval assignment || clause[1].eval assignment) || clause[2].eval assignment | |
| structure Formula where | |
| clauses : List Clause | |
| def Formula.Satisfiable (F : Formula) : Prop := | |
| ∃ assignment : Nat → Bool, ∀ clause ∈ F.clauses, clause.eval assignment = true | |
| end MinUncutGames.BinaryFormula | |
| namespace MinUncutGames.BinaryEncoding | |
| open BinaryFormula | |
| def frame : List Bool → List Bool | |
| | [] => [false] | |
| | b :: bits => true :: b :: frame bits | |
| def nameBits (name : Nat) : List Bool := frame name.bits | |
| def literalBits (literal : Literal) : List Bool := | |
| literal.positive :: nameBits literal.name | |
| def clauseBits (clause : Clause) : List Bool := | |
| literalBits clause[0] ++ literalBits clause[1] ++ literalBits clause[2] | |
| def clausesBits : List Clause → List Bool | |
| | [] => [false] | |
| | clause :: clauses => true :: (clauseBits clause ++ clausesBits clauses) | |
| def formulaBits (formula : Formula) : List Bool := clausesBits formula.clauses | |
| end MinUncutGames.BinaryEncoding | |
| namespace MinUncut | |
| open MinUncutGames.BinaryFormula MinUncutGames.BinaryEncoding | |
| structure Output where | |
| vertices : ℕ | |
| adjacent : Fin vertices → Fin vertices → Bool | |
| symmetric : ∀ u v, adjacent u v = adjacent v u | |
| loopless : ∀ u, adjacent u u = false | |
| threshold : ℕ | |
| threshold_pos : 1 ≤ threshold | |
| def Output.uncut (G : Output) (cut : Fin G.vertices → Bool) : ℕ := | |
| (Finset.univ.filter fun uv : Fin G.vertices × Fin G.vertices => | |
| uv.1 < uv.2 ∧ G.adjacent uv.1 uv.2 = true ∧ cut uv.1 = cut uv.2).card | |
| noncomputable def Output.opt (G : Output) : ℕ := | |
| (Finset.univ.image G.uncut).min' (by | |
| exact Finset.image_nonempty.mpr Finset.univ_nonempty) | |
| def Output.bits (G : Output) : List Bool := | |
| nameBits G.vertices ++ | |
| ((List.finRange G.vertices).flatMap fun u => | |
| (List.finRange G.vertices).map fun v => G.adjacent u v) ++ | |
| nameBits G.threshold | |
| def inputBits (input : ℕ × Formula) : List Bool := | |
| nameBits input.1 ++ formulaBits input.2 | |
| structure Reduction where | |
| reduce : ℕ → Formula → Output | |
| machine : Turing.TM2Computable inputBits Output.bits (fun p => reduce p.1 p.2) | |
| finiteAlphabet : ∀ k : machine.tm.K, Finite (machine.tm.Γ k) | |
| time : ℕ → Polynomial ℕ | |
| runtime : ∀ K φ, | |
| Turing.TM2OutputsInTime machine.tm | |
| ((inputBits (K, φ)).map machine.inputAlphabet.symm) | |
| (some (((reduce K φ).bits).map machine.outputAlphabet.symm)) | |
| ((time K).eval (formulaBits φ).length) | |
| size : ℕ → Polynomial ℕ | |
| output_size : ∀ K φ, | |
| (reduce K φ).vertices + (reduce K φ).bits.length ≤ | |
| (size K).eval (formulaBits φ).length | |
| yes : ∀ K, 2 ≤ K → ∀ φ, φ.Satisfiable → | |
| (reduce K φ).opt ≤ (reduce K φ).threshold | |
| no : ∀ K, 2 ≤ K → ∀ φ, ¬ φ.Satisfiable → | |
| K * (reduce K φ).threshold < (reduce K φ).opt | |
| end MinUncut | |
| end OAI | |