openAI-math-dataset / lean /OAI /Combinatorics /ContingencyTables /Rooted /LargeEdgeCatalogProgram.lean
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Add lean source and binary files (part 42)
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import OAI.Combinatorics.ContingencyTables.Counting.CompanionCellCatalogProgram
import OAI.Combinatorics.ContingencyTables.Machines.WeightedArgmaxProgram
import OAI.Combinatorics.ContingencyTables.Transport.NetworkVertexCode
namespace OAI
/-! # The executed weighted catalog of large cells
Rows and columns are indexed by their stored margin-list lengths. The
catalog contains each retained large cell once, with its actual binary
capacity and its row/column graph endpoints.
-/
namespace ContingencyTables.LargeEdgeCatalogProgram
open MatchingFPRAS.TreeTyped ProfilePrograms DensePrograms WeightedArgmaxProgram
abbrev Input := CompanionCellCatalog.Input
abbrev CellInput := Input×(ℕ×ℕ)
def vertexCount (z : Input) : ℕ := z.1.1.1.length+z.1.1.2.length
def vertexCountRealizer : Realizer vertexCount :=
composition (pair
(composition (composition (composition first first) first) listLength)
(composition (composition (composition first first) second) listLength)) add
lemma polynomial_vertexCount : PolynomialTime vertexCountRealizer :=
polynomial_composition (polynomial_pair
(polynomial_composition (polynomial_composition
(polynomial_composition polynomial_first polynomial_first) polynomial_first)
polynomial_listLength)
(polynomial_composition (polynomial_composition
(polynomial_composition polynomial_first polynomial_first) polynomial_second)
polynomial_listLength)) polynomial_add
def endpoints (z : CellInput) : ℕ×ℕ := (z.2.1,z.1.1.1.1.length+z.2.2)
def endpointsRealizer : Realizer endpoints :=
pair (composition second first)
(composition (pair
(composition (composition (composition (composition first first) first) first) listLength)
(composition second second)) add)
lemma polynomial_endpoints : PolynomialTime endpointsRealizer :=
polynomial_pair (polynomial_composition polynomial_second polynomial_first)
(polynomial_composition (polynomial_pair
(polynomial_composition (polynomial_composition (polynomial_composition
(polynomial_composition polynomial_first polynomial_first) polynomial_first)
polynomial_first) polynomial_listLength)
(polynomial_composition polynomial_second polynomial_second)) polynomial_add)
def entry (z : CellInput) : Edge := (endpoints z,CompanionCellCatalog.entry z)
def entryRealizer : Realizer entry := pair endpointsRealizer CompanionCellCatalog.entryRealizer
lemma polynomial_entry : PolynomialTime entryRealizer :=
polynomial_pair polynomial_endpoints CompanionCellCatalog.polynomial_entry
def large (z : CellInput) : Bool := !CompanionCellCatalog.retainedTest z
def largeRealizer : Realizer large :=
composition CompanionCellCatalog.retainedTestRealizer boolNot
lemma polynomial_large : PolynomialTime largeRealizer :=
polynomial_composition CompanionCellCatalog.polynomial_retainedTest polynomial_boolNot
def cells (z : Input) : List (ℕ×ℕ) :=
(cellPairs z.1.1).filter (fun a=>large (z,a))
def cellsRealizer : Realizer cells :=
composition (pair identity (composition (composition first first) cellPairsRealizer))
(filterWith largeRealizer)
lemma polynomial_cells : PolynomialTime cellsRealizer :=
polynomial_composition (polynomial_pair polynomial_identity
(polynomial_composition (polynomial_composition polynomial_first polynomial_first)
polynomial_cellPairs)) (polynomial_filterWith polynomial_large)
def catalog (z : Input) : List Edge := (cells z).map (fun a=>entry (z,a))
def catalogRealizer : Realizer catalog :=
composition (pair identity cellsRealizer) (mapWith entryRealizer)
lemma polynomial_catalog : PolynomialTime catalogRealizer :=
polynomial_composition (polynomial_pair polynomial_identity polynomial_cells)
(polynomial_mapWith polynomial_entry)
variable {m n : ℕ}
lemma entry_code (r : Fin m→ℕ) (c : Fin n→ℕ) (b : Fin m→Fin n→ℕ)
(W : ℕ) (i : Fin m) (j : Fin n) :
entry ((NetworkVertexCode.data r c b,W),(i.val,j.val))=
((i.val,m+j.val),b i j) := by
change ((i.val,(List.ofFn r).length+j.val),matrixEntry (matrixCode b,(i.val,j.val)))=_
rw [List.length_ofFn,matrixEntry_code]
lemma mem_cells_code (r : Fin m→ℕ) (c : Fin n→ℕ) (b : Fin m→Fin n→ℕ)
(W : ℕ) (a : ℕ×ℕ) :
a∈cells (NetworkVertexCode.data r c b,W) ↔
∃ i : Fin m,∃ j : Fin n,a=(i.val,j.val) ∧ W≤b i j := by
rw [cells,List.mem_filter]
change (a∈cellPairs (List.ofFn r,List.ofFn c) ∧
large ((NetworkVertexCode.data r c b,W),a)=true) ↔ _
rw [mem_cellPairs]
simp only [List.length_ofFn]
constructor
· rintro ⟨⟨hi,hj⟩,ht⟩
let i : Fin m := ⟨a.1,hi⟩
let j : Fin n := ⟨a.2,hj⟩
refine ⟨i,j,rfl,?_⟩
have hn : ¬CompanionCellCatalog.entry
((NetworkVertexCode.data r c b,W),(i.val,j.val))<W := by
simpa only [large,CompanionCellCatalog.retainedTest,Bool.not_eq_true',
decide_eq_false_iff_not] using ht
have he : CompanionCellCatalog.entry
((NetworkVertexCode.data r c b,W),(i.val,j.val))=b i j := matrixEntry_code b i j
rw [he] at hn
exact Nat.le_of_not_gt hn
· rintro ⟨i,j,rfl,hb⟩
refine ⟨⟨i.isLt,j.isLt⟩,?_⟩
have he : CompanionCellCatalog.entry
((NetworkVertexCode.data r c b,W),(i.val,j.val))=b i j := matrixEntry_code b i j
simpa only [large,CompanionCellCatalog.retainedTest,Bool.not_eq_true',
decide_eq_false_iff_not,he] using Nat.not_lt.mpr hb
/-- Exact source cell capacities and graph endpoints, with no finite
choice or supplied catalog-correctness hypothesis. -/
theorem mem_catalog_code (r : Fin m→ℕ) (c : Fin n→ℕ) (b : Fin m→Fin n→ℕ)
(W : ℕ) (e : Edge) :
e∈catalog (NetworkVertexCode.data r c b,W) ↔
∃ i : Fin m,∃ j : Fin n,W≤b i j ∧ e=((i.val,m+j.val),b i j) := by
rw [catalog,List.mem_map]
constructor
· rintro ⟨a,ha,he⟩
obtain ⟨i,j,rfl,hb⟩ := (mem_cells_code r c b W a).mp ha
exact ⟨i,j,hb,he.symm.trans (entry_code r c b W i j)⟩
· rintro ⟨i,j,hb,rfl⟩
exact ⟨(i.val,j.val),(mem_cells_code r c b W _).mpr ⟨i,j,rfl,hb⟩,
entry_code r c b W i j⟩
lemma vertexCount_code (r : Fin m→ℕ) (c : Fin n→ℕ) (b : Fin m→Fin n→ℕ) (W : ℕ) :
vertexCount (NetworkVertexCode.data r c b,W)=m+n := by
simp only [vertexCount,NetworkVertexCode.data,List.length_ofFn]
end ContingencyTables.LargeEdgeCatalogProgram
end OAI