import OAI.Combinatorics.EditApproximation.Geometry.ChargedRandomGlobalQuery import OAI.Combinatorics.EditApproximation.Refinement.PhysicalRandomBoundedCost import OAI.Combinatorics.EditApproximation.Geometry.ChargedQueryProgress namespace OAI /-! Actual mixed requests retain the charged physical depth/index progress. This statement holds for every returned source and table value. -/ namespace EditApproximation section Global variable {σ α : Type*} [DecidableEq α] {M J R : ℕ} [NeZero M] [NeZero R] (source target : List α) (N P F exponent H Q T S passes copies : ℕ) (factor : ℕ → ℚ) (multiplier : ℕ → ℕ) (tau eta kappa delta : ℚ) (readGroup : ℕ → ℕ → PhysicalInternalNode M J → Fin R → GroupScalarKey M F Q → FiniteQuery σ) (readInteger : ℕ → ℕ → PhysicalInternalNode M J → Fin R → (ℕ × TargetInterval target.length) → ℕ → FiniteQuery σ) (initial : PhysicalEntry M J target.length → ℕ) (sourceAnswer : σ → ℚ) (answer : ChargedPhysicalRequest M J target.length passes copies T S → ℚ) theorem chargedRandomGlobalQuery_keys_progress (request : ChargedPhysicalRequest M J target.length passes copies T S) : ∀ key ∈ (chargedRandomGlobalQuery source target N P F exponent H Q T S passes copies factor multiplier tau eta kappa delta readGroup readInteger initial request).keys (Sum.elim sourceAnswer (fun child => answer child.val)), match key with | .inl _ => True | .inr child => ChargedPhysicalRequest.DependencyProgress request child.val := by cases request with | inl entry => intro key hk exact False.elim (List.not_mem_nil hk) | inr parent => unfold chargedRandomGlobalQuery dsimp only split_ifs with hi hb hs · apply FiniteQuery.keys_all_mapKeys intro key hk exact Or.inr (chargedWarmupQuery_keys_earlier source target N P F factor multiplier parent _ key hk) · apply FiniteQuery.keys_all_mapKeys intro key hk apply Or.inr apply physicalInitialQuery_keys_all source target N P F _ _ _ _ _ _ _ key hk intro q exact chargedSeedQuery_keys_earlier N multiplier parent (parent.val.node, q) _ · rw [FiniteQuery.mapKeys_keys] intro key hk obtain ⟨child, hc, rfl⟩ := List.mem_map.mp hk let tableMap : {child : {r : PhysicalTableRequest M J target.length // r.Bounded passes copies T S} // child.val.combinedRank T S < parent.val.combinedRank T S} → {child : ChargedPhysicalRequest M J target.length passes copies T S // child.rank < ChargedPhysicalRequest.rank (.inr parent)} := fun child => ⟨.inr child.val, ChargedPhysicalRequest.table_rank_lt parent child.val child.property⟩ have horacle : (Sum.elim sourceAnswer (fun child => answer child.val)) ∘ Sum.map (id : σ → σ) tableMap = Sum.elim sourceAnswer (fun child => answer (Sum.inr child.val)) := by funext key cases key <;> rfl rw [horacle] at hc have hp := physicalRandomBoundedQuery_progress source target N P F exponent H Q T S passes copies factor multiplier tau eta kappa delta readGroup readInteger initial sourceAnswer (fun r => if hr : r.Bounded passes copies T S then answer (.inr ⟨r, hr⟩) else 0) parent cases child with | inl key => trivial | inr child => apply ChargedPhysicalRequest.table_progress apply hp (.inr child) convert hc using 1 congr 1 funext key cases key with | inl key => rfl | inr key => simp only [Sum.elim_inr, dite_eq_left key.val.property] · apply FiniteQuery.keys_all_mapKeys intro key hk apply Or.inr apply physicalInitialQuery_keys_all source target N P F _ _ _ _ _ _ _ key hk intro q exact chargedSeedQuery_keys_earlier N multiplier parent (parent.val.node, q) _ end Global end EditApproximation end OAI