Download lean/OAI/Combinatorics/MatchingCount/Algorithm/OnlineInitialLaw.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 2.53 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/MatchingCount/Algorithm/OnlineInitialLaw.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Combinatorics/MatchingCount/Algorithm/OnlineInitialLaw.lean
-
curl -L -o OnlineInitialLaw.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/MatchingCount/Algorithm/OnlineInitialLaw.lean
2.53 kB
| import Mathlib | |
| import OAI.Combinatorics.MatchingCount.Algorithm.OnlineInitial | |
| namespace OAI | |
| namespace MatchingFPRAS.OnlineInitial | |
| open TreeTyped TreeFraction ExecutableAdaptive ExecutableScaling ExecutableSource OnlineSchedule | |
| open Transport Enlargement | |
| variable {G : GraphInput} [Nontrivial (Fin G.n)] | |
| variable (hn : 2≤G.n) (heven : Even G.n) (ε δ : ℚ) (he : 0<ε) (he1 : ε<1) | |
| local notation "p" => FiniteTrial.parameters G hn heven ε he he1 | |
| noncomputable def sourceSeed : Seed := (graphRep G,(TreeFraction.repr ε,TreeFraction.repr δ)) | |
| lemma config_source : config (sourceSeed (G:=G) ε δ)= | |
| ((sourceSeed (G:=G) ε δ,(p).K),((p).N,FiniteTrial.sourceD (G:=G) (p).K)) := by | |
| have hl : (graphRep G).1.length=G.n := by simp [graphRep] | |
| unfold config seedK seedN seedD sourceSeed | |
| dsimp only | |
| rw [hl,coolingSchedule_eq G.n hn ε he he1] | |
| change ((_,(p).K),(vertexNumber (G.n,(p).K),distortion (G.n,vertexNumber (G.n,(p).K))))=_ | |
| rw [distortion_source,vertexNumber_eq] | |
| rfl | |
| lemma data_source : data (config (sourceSeed (G:=G) ε δ))= | |
| OnlineStage.fixedData p (FiniteTrial.initialScaleState G hn) := by | |
| rw [config_source hn heven ε δ he he1] | |
| unfold data sourceSeed OnlineStage.fixedData OnlineStage.data | |
| dsimp only | |
| rw [show (graphRep G).1=List.range G.n from rfl,scaleVector_source G hn,ladderSchedule_eq _ _ _ (p).N_pos] | |
| rfl | |
| lemma count_source : count (config (sourceSeed (G:=G) ε δ))=(p).S := by | |
| rw [config_source hn heven ε δ he he1] | |
| unfold count sourceSeed | |
| dsimp only | |
| have hl : (graphRep G).1.length=G.n := by simp [graphRep] | |
| rw [hl] | |
| exact sampleCount_source p | |
| lemma trialInput_source : trialInput (config (sourceSeed (G:=G) ε δ))=OnlineAmplification.initial p := by | |
| unfold trialInput | |
| rw [data_source hn heven ε δ he he1,count_source hn heven ε δ he he1,config_source hn heven ε δ he he1] | |
| unfold OnlineAmplification.initial OnlineTrial.represent OnlineTrial.product | |
| simp only [FiniteTrial.firstLayer,Fin.prod_univ_zero,mul_one] | |
| have hg : (sourceSeed (G:=G) ε δ).1.1.length=G.n := by simp [sourceSeed,graphRep] | |
| rw [hg,GraphBridge.complete_count] | |
| rw [TreeFraction.repr_nat] | |
| lemma initializeInput_source (hd : 0≤δ) : initializeInput (sourceSeed (G:=G) ε δ)= | |
| (2*Amplification.halfRepetitions δ+1,OnlineAmplification.initial p) := by | |
| unfold initializeInput runInput | |
| rw [trialInput_source hn heven ε δ he he1,config_source hn heven ε δ he he1] | |
| dsimp only [sourceSeed] | |
| rw [repetitions_repr δ hd] | |
| end MatchingFPRAS.OnlineInitial | |
| end OAI | |