import OAI.Combinatorics.LowSpaceSubsetSum.Streams.MeasuredLog2 import OAI.Combinatorics.LowSpaceSubsetSum.Storage.MixerOrderExecution namespace OAI /-! # Integer mixer parameter arithmetic after the measured counts The count logarithms are computed by bounded division loops. Sorting and all four prime-width formulas then use only stored integers. -/ namespace LowSpaceSubsetSum.MixerParameterExecution open scoped BigOperators def low (n half count : ℕ) : ℕ × ℕ := let bits := MeasuredLog2.run n count (max (rationalLowParameter n half) (bits.1 / 2), bits.2 + 12) theorem low_value (n half count : ℕ) (hc : count ≤ 2 ^ n) : (low n half count).1 = lowParameterFromCount n half count := by simp only [low, MeasuredLog2.run_value n count hc, lowParameterFromCount] theorem low_work (n half count : ℕ) : (low n half count).2 ≤ 3 * n + 13 := by have h := MeasuredLog2.run_work n count change _ + 12 ≤ _ omega structure Parameters where order : Vector (Fin 3) 3 low : Vector ℕ 3 widths : Vector ℕ 4 def run (n : ℕ) (counts : Vector ℕ 3) : Parameters × ℕ := let order := MixerOrderExecution.run counts let lows := Vector.ofFn (fun i : Fin 3 => low n (mixerSize n / 2) counts[order.1[i.val].val]) let lowValues := lows.map Prod.fst let widths : Vector ℕ 4 := #v[lowValues[2], lowValues[1] - lowValues[2], lowValues[0] - lowValues[1], extraParameterFromLow n (mixerSize n) (fun i => lowValues[i.val])] (⟨order.1, lowValues, widths⟩, order.2 + (∑ i : Fin 3, lows[i.val].2) + 30) theorem order_value (n : ℕ) (counts : Vector ℕ 3) (i : Fin 3) : (run n counts).1.order[i.val] = mixerOrderFromCounts (fun j => counts[j.val]) i := MixerOrderExecution.run_value counts i theorem low_values (n : ℕ) (counts : Vector ℕ 3) (hc : ∀ i : Fin 3, counts[i.val] ≤ 2 ^ n) (i : Fin 3) : (run n counts).1.low[i.val] = lowParameterFromCount n (mixerSize n / 2) counts[(mixerOrderFromCounts (fun j => counts[j.val]) i).val] := by simp only [run, Vector.getElem_map, Vector.getElem_ofFn, low_value n _ _ (hc _), MixerOrderExecution.run_value] theorem low_values_of_counts (n : ℕ) (counts : Vector ℕ 3) (hc : ∀ i : Fin 3, counts[i.val] ≤ 2 ^ n) (f : Fin 3 → ℕ) (hf : ∀ i : Fin 3, counts[i.val] = f i) (i : Fin 3) : (run n counts).1.low[i.val] = lowParameterFromCount n (mixerSize n / 2) (f (mixerOrderFromCounts f i)) := by rw [low_values n counts hc] have he : (fun j : Fin 3 => counts[j.val]) = f := funext hf change lowParameterFromCount n (mixerSize n / 2) ((fun j : Fin 3 => counts[j.val]) (mixerOrderFromCounts (fun j => counts[j.val]) i)) = _ rw [he] theorem widths_value (n : ℕ) (counts : Vector ℕ 3) : (run n counts).1.widths = #v[(run n counts).1.low[2], (run n counts).1.low[1] - (run n counts).1.low[2], (run n counts).1.low[0] - (run n counts).1.low[1], extraParameterFromLow n (mixerSize n) (fun i => (run n counts).1.low[i.val])] := rfl theorem work (n : ℕ) (counts : Vector ℕ 3) : (run n counts).2 ≤ 9 * n + 120 := by have h := Finset.sum_le_sum (fun i (_ : i ∈ (Finset.univ : Finset (Fin 3))) => low_work n (mixerSize n / 2) counts[(MixerOrderExecution.run counts).1[i.val].val]) simp only [Finset.sum_const, Finset.card_univ, Fintype.card_fin, smul_eq_mul] at h change 40 + (∑ i : Fin 3, (low n (mixerSize n / 2) counts[(MixerOrderExecution.run counts).1[i.val].val]).2) + 30 ≤ _ omega end LowSpaceSubsetSum.MixerParameterExecution end OAI