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Add lean source and binary files (part 46)
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import OAI.Combinatorics.LowSpaceSubsetSum.Streams.SliceCursor
import OAI.Combinatorics.LowSpaceSubsetSum.Streams.BinaryPivot
import Mathlib.Data.List.TakeDrop
namespace OAI
/-!
# Binary search for the exact eligible slice
Two prefix searches find the half-open interval of occurrences with a fixed
primary key. A secondary order within equal primary keys gives the sorted
slice needed by modular row initialization. Both searches query the shared
array directly, including when the eligible slice is empty.
-/
namespace LowSpaceSubsetSum
namespace BinarySlice
variable {α : Type*}
def lower (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ) : ℕ :=
(BinaryPivot.search (fun i : Fin xs.size => decide (key xs[i.val] < r)) k).lo
def upper (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ) : ℕ :=
(BinaryPivot.search (fun i : Fin xs.size => decide (key xs[i.val] ≤ r)) k).lo
theorem lower_spec (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ)
(hs : Monotone (fun i : Fin xs.size => key xs[i.val])) (hk : xs.size < 2 ^ k) :
∀ i : Fin xs.size, key xs[i.val] < r ↔ i.val < lower xs key r k := by
have hp : BinaryPivot.PrefixPredicate
(fun i : Fin xs.size => decide (key xs[i.val] < r)) := by
intro i j hij hj
exact decide_eq_true ((hs hij).trans_lt (of_decide_eq_true hj))
simpa only [lower, decide_eq_true_eq] using
(BinaryPivot.search_exact _ hp k hk).2
theorem upper_spec (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ)
(hs : Monotone (fun i : Fin xs.size => key xs[i.val])) (hk : xs.size < 2 ^ k) :
∀ i : Fin xs.size, key xs[i.val] ≤ r ↔ i.val < upper xs key r k := by
have hp : BinaryPivot.PrefixPredicate
(fun i : Fin xs.size => decide (key xs[i.val] ≤ r)) := by
intro i j hij hj
exact decide_eq_true ((hs hij).trans (of_decide_eq_true hj))
simpa only [upper, decide_eq_true_eq] using
(BinaryPivot.search_exact _ hp k hk).2
theorem lower_bounded (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ) :
lower xs key r k ≤ xs.size :=
(BinaryPivot.search _ k).ordered.trans (BinaryPivot.search _ k).bounded
theorem upper_bounded (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ) :
upper xs key r k ≤ xs.size :=
(BinaryPivot.search _ k).ordered.trans (BinaryPivot.search _ k).bounded
theorem ordered (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ)
(hs : Monotone (fun i : Fin xs.size => key xs[i.val])) (hk : xs.size < 2 ^ k) :
lower xs key r k ≤ upper xs key r k := by
by_contra h
have hlow := lower_bounded xs key r k
have hin : upper xs key r k < xs.size := by omega
have hlt := (lower_spec xs key r k hs hk ⟨_, hin⟩).mpr (by dsimp; omega)
have hle := (upper_spec xs key r k hs hk ⟨_, hin⟩).mp hlt.le
change upper xs key r k < upper xs key r k at hle
omega
def range (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ)
(hs : Monotone (fun i : Fin xs.size => key xs[i.val])) (hk : xs.size < 2 ^ k) :
SliceCursor.Range xs.size :=
⟨lower xs key r k, upper xs key r k - lower xs key r k, by
have := ordered xs key r k hs hk
have := upper_bounded xs key r k
omega⟩
theorem index_spec (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ)
(hs : Monotone (fun i : Fin xs.size => key xs[i.val])) (hk : xs.size < 2 ^ k)
(i : Fin xs.size) :
key xs[i.val] = r ↔ lower xs key r k ≤ i.val ∧ i.val < upper xs key r k := by
have hl := lower_spec xs key r k hs hk i
have hu := upper_spec xs key r k hs hk i
omega
theorem slice_eq_filter (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ)
(hs : Monotone (fun i : Fin xs.size => key xs[i.val])) (hk : xs.size < 2 ^ k) :
SliceCursor.slice xs (range xs key r k hs hk) =
xs.toList.filter (fun x => decide (key x = r)) := by
let lo := lower xs key r k
let hi := upper xs key r k
have hlo : lo ≤ hi := ordered xs key r k hs hk
have hhi : hi ≤ xs.size := upper_bounded xs key r k
let pre := xs.toList.take lo
let mid := (xs.toList.drop lo).take (hi - lo)
let suf := xs.toList.drop hi
have hdec : xs.toList = pre ++ mid ++ suf := by
have hd : mid ++ suf = xs.toList.drop lo := by
dsimp only [mid, suf]
have heq : lo + (hi - lo) = hi := by omega
simpa only [heq] using List.drop_take_append_drop xs.toList lo (hi - lo)
rw [List.append_assoc, hd]
exact (List.take_append_drop lo xs.toList).symm
have hp : pre.filter (fun x => decide (key x = r)) = [] := by
apply List.filter_eq_nil_iff.mpr
intro x hx
obtain ⟨i, hi', hix⟩ := List.mem_iff_getElem.mp hx
have hin : i < xs.size := by
dsimp only [pre] at hi'
simp only [List.length_take, Array.length_toList] at hi'
omega
have hil : i < lo := by
dsimp only [pre] at hi'
simp only [List.length_take, Array.length_toList] at hi'
omega
have hv := (lower_spec xs key r k hs hk ⟨i, hin⟩).mpr hil
dsimp only [pre] at hix
rw [List.getElem_take, Array.getElem_toList] at hix
rw [← hix]
simpa only [decide_eq_true_eq] using ne_of_lt hv
have hm : mid.filter (fun x => decide (key x = r)) = mid := by
apply List.filter_eq_self.mpr
intro x hx
obtain ⟨i, hi', hix⟩ := List.mem_iff_getElem.mp hx
have hin : lo + i < xs.size := by
dsimp only [mid] at hi'
simp only [List.length_take, List.length_drop, Array.length_toList] at hi'
omega
have hili : lo + i < hi := by
dsimp only [mid] at hi'
simp only [List.length_take, List.length_drop, Array.length_toList] at hi'
omega
have hv := (index_spec xs key r k hs hk ⟨lo + i, hin⟩).mpr ⟨by dsimp; omega, hili⟩
dsimp only [mid] at hix
rw [List.getElem_take, List.getElem_drop, Array.getElem_toList] at hix
rw [← hix]
exact decide_eq_true hv
have ht : suf.filter (fun x => decide (key x = r)) = [] := by
apply List.filter_eq_nil_iff.mpr
intro x hx
obtain ⟨i, hi', hix⟩ := List.mem_iff_getElem.mp hx
have hin : hi + i < xs.size := by
dsimp only [suf] at hi'
simp only [List.length_drop, Array.length_toList] at hi'
omega
have hv : ¬ key xs[hi + i] ≤ r := by
intro hle
have := (upper_spec xs key r k hs hk ⟨hi + i, hin⟩).mp hle
change hi + i < hi at this
omega
dsimp only [suf] at hix
rw [List.getElem_drop, Array.getElem_toList] at hix
rw [← hix]
simpa only [decide_eq_true_eq] using
(show ¬ key xs[hi + i] = r from fun heq => hv heq.le)
rw [SliceCursor.slice_eq_drop_take]
change mid = xs.toList.filter _
rw [hdec, List.filter_append, List.filter_append, hp, hm, ht]
simp
theorem slice_key (xs : Array α) (key : α → ℤ) (r : ℤ) (k : ℕ)
(hs : Monotone (fun i : Fin xs.size => key xs[i.val])) (hk : xs.size < 2 ^ k)
(i : Fin (range xs key r k hs hk).length) :
key (SliceCursor.values xs (range xs key r k hs hk) i) = r := by
have hmem : SliceCursor.values xs (range xs key r k hs hk) i ∈
SliceCursor.slice xs (range xs key r k hs hk) := List.mem_ofFn.mpr ⟨i, rfl⟩
rw [slice_eq_filter xs key r k hs hk] at hmem
exact of_decide_eq_true (List.mem_filter.mp hmem).2
theorem slice_sorted (xs : Array α) (key secondary : α → ℤ) (r : ℤ) (k : ℕ)
(hs : Monotone (fun i : Fin xs.size => key xs[i.val])) (hk : xs.size < 2 ^ k)
(htie : ∀ i j : Fin xs.size, i ≤ j → key xs[i.val] = key xs[j.val] →
secondary xs[i.val] ≤ secondary xs[j.val]) :
Monotone (fun i : Fin (range xs key r k hs hk).length =>
secondary (SliceCursor.values xs (range xs key r k hs hk) i)) := by
intro i j hij
let rr := range xs key r k hs hk
have hi : rr.lo + i.val < xs.size := by
have := rr.bounded
have : i.val < rr.length := i.isLt
omega
have hj : rr.lo + j.val < xs.size := by
have := rr.bounded
have : j.val < rr.length := j.isLt
omega
apply htie ⟨rr.lo + i.val, hi⟩ ⟨rr.lo + j.val, hj⟩
(show rr.lo + i.val ≤ rr.lo + j.val from Nat.add_le_add_left hij _)
exact (slice_key xs key r k hs hk i).trans (slice_key xs key r k hs hk j).symm
end BinarySlice
end LowSpaceSubsetSum
end OAI