You are an expert Lean4 and formal verification agent proving a Lean4 theorem. Your output **must** strictly adhere to the specified format.

### Input Information
You will receive the following components, relevant to the target theorem:
* <all_available_defs>: Definitions available from imported modules (either from the current Lean repository or from Mathlib)
* <all_available_lemmas>: Lemmas/theorems available that may assist the proof.
* <local_ctx>...</local_ctx>: The local file context (imports, namespaces, definitions, comments, etc.) from the top of the file up to—but not including—the target theorem or any previously defined local lemmas/theorems.
* <target_theorem>...</target_theorem>: The target theorem statement, ending with `:=`.

**Notes**
1. Definitions include their full bodies, but for definitions whose bodies contain proofs, the proof parts are replaced by `admit` (i.e., admit /- proof elided -/), while the rest of the definition is kept unchanged; lemmas include only their statements.
2. You may freely reference any definition or lemma contained in these tags without redefining them.
3. The tags for available definitions and lemmas (all_available_defs, all_available_lemmas) may be omitted if empty.

### Output Format & Requirements
Your output MUST contain a complete, syntactically correct Lean 4 proof for the target theorem.

**Strict Output Structure:**
<reasoning> 
...
</reasoning> 

<lean4_invented_lemmas>
-- each lemma is a full Lean 4 declaration with a complete proof
...
</lean4_invented_lemmas>

<lean4_proof>
-- Lean 4 proof body of the target theorem
...
</lean4_proof>

**Requirements:**
1. <reasoning> and <lean4_invented_lemmas> are OPTIONAL. Include them only if they aid proof construction.
2. <lean4_proof> MUST contain only the proof body (tactics/terms), starting by "by", NOT the theorem declaration.
3. <lean4_invented_lemmas> (if present) MUST contain syntactically correct lemma declarations that type checks AND complete proof bodies. Defining a lemma using `axiom` is NOT allowed.
4. <reasoning> contains high-level proof planning.
5. If you create a lemma under <lean4_invented_lemmas> whose name is namespaced (e.g., X.Y.Z), you MUST always refer to it using its fully qualified name. Do NOT rely on shortened names. For example, write rw [X.Y.Z], not rw [Z] for invented lemmas.
6. All Lean 4 code MUST be syntactically correct. No `sorry`, `admit`, or non-Lean text. Comments allowed using `--` or `/- ... -/`.
7. Follow the tags and structure EXACTLY. No extra text before, between, or after the sections.
8. Do NOT wrap invented lemmas in a `mutual` block unless they have genuine mutual recursion. Declare each lemma independently.

### Examples are provided here (example input are under "User Prompt", and example assistant response are under "Agent Response"):
Example 1 ------------------- 
User Prompt:
<all_available_defs>
structure BitVec (w : Nat) where
  /-- Construct a `BitVec w` from a number less than `2^w`.
  O(1), because we use `Fin` as the internal representation of a bitvector. -/
  ofFin ::

  /-- Interpret a bitvector as a number less than `2^w`.
  O(1), because we use `Fin` as the internal representation of a bitvector. -/
  toFin : Fin (hPow 2 w)
</all_available_defs>

<all_available_lemmas>
theorem List.getElem_append_left{α : Type u_1} {l₁ l₂ : List α} {i : Nat} (hn : i < l₁.length) : (l₁ ++ l₂)[i] = l₁[i]
theorem getElem_eq_testBit_toNat (x : BitVec w) (i : Nat) (h : i < w) :
  x[i] = x.toNat.testBit i := rfl
@[simp, grind =] theorem toNat_cons (b : Bool) (x : BitVec w) :
    (cons b x).toNat = (b.toNat <<< w) ||| x.toNat
@[simp, grind =] theorem getLsbD_of_ge (x : BitVec w) (i : Nat) (ge : w ≤ i) : getLsbD x i = false
theorem testBit_toNat (x : BitVec w) : x.toNat.testBit i = x.getLsbD i
</all_available_lemmas>

<local_ctx>
import Mathlib.Computability.NFA
import Mathlib.Data.FinEnum
import Mathlib.Data.Rel
import Mathlib.Data.Vector.Basic
import Blase.AutoStructs.ForLean

open Set
open Mathlib
open SetRel

-- this is better because card is defeq to n
instance (α : Type) : Inter (Language α) := ⟨Set.inter⟩
instance (α : Type) : Union (Language α) := ⟨Set.union⟩

/--
The set of `n`-tuples of bit vectors of an arbitrary width.
-/
structure BitVecs (n : Nat) where
  w : Nat
  bvs : List.Vector (BitVec w) n

def BitVecs.cast (bvs : BitVecs n) (h : n = n') : BitVecs n' :=
  { w := bvs.w, bvs := h ▸ bvs.bvs }

abbrev BitVecs.empty : BitVecs n := ⟨0, List.Vector.replicate n .nil⟩
abbrev BitVecs.singleton {w : Nat} (bv : BitVec w) : BitVecs 1 := ⟨w, bv ::ᵥ .nil⟩
abbrev BitVecs.pair {w : Nat} (bv1 bv2 : BitVec w) : BitVecs 2 := ⟨w, bv1 ::ᵥ bv2 ::ᵥ .nil⟩

/--
The set of `n`-tuples of bit vectors of an arbitrary width, encoded as a list of
bit vectors of width `n`. The width of the encoded bit vectors is the length of
the list.
-/
abbrev BitVecs' (n : Nat) := List (BitVec n)

@[simps]
def dec (bvs' : BitVecs' n) : BitVecs n where
  w := bvs'.length
  bvs := List.Vector.ofFn fun k => BitVec.ofFn fun i => bvs'[i].getLsbD k

@[simp]
</local_ctx>

<target_theorem>
lemma dec_snoc n (bvs' : BitVecs' n) (a : BitVec n) :
  dec (bvs' ++ [a]) =
    { w := bvs'.length + 1
      bvs := List.Vector.ofFn fun k =>
        BitVec.cons (a.getLsbD k) ((dec bvs').bvs.get k) } :=
</target_theorem>

Agent Response:
<reasoning> 
The goal is to understand what `dec` does after appending one more bitvector `a` to `bvs'`. By definition, `dec` builds a width `= length` and a vector of bitvectors whose `i`-th bit at position `k` is `bvs'[i].getLsbD k`. So for `bvs' ++ [a]`, we expect the width to increase by 1 and each resulting bitvector to be `BitVec.cons` of the new bit coming from `a`.

First, I use `ext` twice: once on the record to focus on the `bvs` field, and once on the resulting bitvector. This reduces everything to a pointwise statement:
for fixed `k` and `i` with `i < bvs'.length + 1`,
the bit `(bvs' ++ [a])[i].getLsbD k` should match the bit at index `i` of `BitVec.cons (a.getLsbD k) ((dec bvs').bvs.get k)`.

At this point I need a clean description of indexing into `BitVec.cons`: if we have `x : BitVec n`, then `(cons b x)[i]` should give `b` at the new “last” index `n` and `x[i]` otherwise. That motivates an auxiliary lemma `getElem_cons` expressing exactly this behavior, proved via the `testBit`/`toNat` characterization and a case split on `i < n`, `i = n`, `i > n`.

Using `getElem_cons`, the RHS becomes an `if` on whether `i = bvs'.length`. So I split into cases:
- If `i = bvs'.length`, then `(bvs' ++ [a])[i]` is the appended `a`, so both sides reduce to `a.getLsbD k`.
- If `i ≠ bvs'.length`, the bound `i < bvs'.length + 1` forces `i < bvs'.length`. Then `(bvs' ++ [a])[i] = bvs'[i]` by `List.getElem_append_left`, and the RHS takes the “else” branch and likewise gives the bit from `bvs'[i]`. In both subcases, `simp` (plus the definition of `dec`) finishes.

So the whole proof is: `ext` to bit level, unfold `dec` with `simp_all`, rewrite with `getElem_cons`, split on the boundary index `i = length bvs'`, and in the “< length” branch use `List.getElem_append_left` and bounds to line up both sides.
</reasoning> 

<lean4_invented_lemmas>
@[grind =]
theorem getElem_cons {b : Bool} {n} {x : BitVec n} {i : Nat} (h : i < n + 1) :
    (cons b x)[i] = if h : i = n then b else x[i] := by
  simp only [BitVec.getElem_eq_testBit_toNat, BitVec.toNat_cons, Nat.testBit_or]
  rw [Nat.testBit_shiftLeft]
  rcases Nat.lt_trichotomy i n with i_lt_n | i_eq_n | n_lt_i
  · have p1 : ¬(n ≤ i) := by omega
    have p2 : i ≠ n := by omega
    simp [p1, p2]
  · simp only [i_eq_n, ge_iff_le, Nat.le_refl, decide_true, Nat.sub_self, Nat.testBit_zero,
    Bool.true_and, BitVec.testBit_toNat, BitVec.getLsbD_of_ge, Bool.or_false]
    cases b <;> trivial
  · have p1 : i ≠ n := by omega
    have p2 : i - n ≠ 0 := by omega
    simp [p1, p2, Nat.testBit_bool_toNat]
</lean4_invented_lemmas>

<lean4_proof>
by
  ext k i hi <;> simp_all
  rw [getElem_cons]
  split
  next heq => simp_all
  next h =>
    have hlt : i < List.length bvs' := by simp at hi; omega
    rw [List.getElem_append_left hlt]
    simp
</lean4_proof>

### Your task:
<all_available_defs>
def rotRight32 (x : ℕ) (offset : ℕ) : ℕ :=
  let offset := offset % 32
  let low := x % (2^offset)
  let high := x / (2^offset)
  low * (2^(32-offset)) + high

structure U32 (T : Type) where
  x0 : T
  x1 : T
  x2 : T
  x3 : T
deriving DecidableEq

def valueNat (x : U32 ℕ) :=
  x.x0 + x.x1 * 256 + x.x2 * 256^2 + x.x3 * 256^3

structure U64 (T : Type) where
  x0 : T
  x1 : T
  x2 : T
  x3 : T
  x4 : T
  x5 : T
  x6 : T
  x7 : T
deriving DecidableEq

def valueNat (x : U64 ℕ) :=
  x.x0 + x.x1 * 256 + x.x2 * 256^2 + x.x3 * 256^3 +
  x.x4 * 256^4 + x.x5 * 256^5 + x.x6 * 256^6 + x.x7 * 256^7

def Spec (offset : Fin 32) (x : U32 (F p)) (y : U32 (F p)) :=
  y.value = rotRight32 x.value offset.val
  ∧ y.Normalized

instance : ProvableStruct Inputs where
  components := [U32, U32]
  toComponents := fun {x, y} => .cons x ( .cons y .nil)
  fromComponents := fun (.cons x ( .cons y .nil)) => ⟨ x, y ⟩

def tableConstraints (table : InductiveTable F State Input) (input_state output_state : State F) :
  List (TableOperation (ProvablePair State Input) F) := [
    .everyRowExceptLast table.inductiveConstraint,
    .boundary (.fromStart 0) (equalityConstraint Input input_state),
    .boundary (.fromEnd 0) (equalityConstraint Input output_state),
  ]

instance [Field F] : Inhabited (α F) where
  default := synthesizeValue

Vector.toList in Init.Data.Vector.Basic

example : MemoryAccessList.isConsistentOnline [] (by admit /- proof elided -/
) := by admit /- proof elided -/

@[table_assignment_norm]
def pushVarAux (assignment : CellAssignment W S) : CellAssignment W S where
  offset := assignment.offset + 1
  aux_length := assignment.aux_length + 1
  vars := assignment.vars.push (.aux assignment.aux_length)

def Spec (a b c d : Fin 16) (input : Inputs (F p)) (out : BLAKE3State (F p)) :=
  let { state, x, y } := input
  out.value = g state.value a b c d x.value y.value ∧ out.Normalized

let (lout, _) ← Circuit.foldlRange n ((0 : Expression (F p)), (1 : Expression (F p))) fun (lout, e2) i => do
    
    out[i] * (out[i] - (1 : Expression (F p))) === (0 : Expression (F p))
    let lout := lout + out[i] * e2
    return (lout, e2 + e2)

localLength _ := 0
  output x _ := not64_bytewise x

def TwoRoundsSpec (input : Round.Inputs (F p)) (output : Round.Inputs (F p)) : Prop :=
  let (final_state, final_message) := applyTwoRounds input.state.value (input.message.map U32.value)
  output.state.value = final_state ∧
  output.message.map U32.value = final_message ∧
  output.state.Normalized ∧
  (∀ i : Fin 16, output.message[i].Normalized)

def everyRowTwoRowsInduction' {P : (t : Trace F S) → t.len ≥ 2 → Sort*}
    (base : ∀ first second, P (<+> +> first +> second) (show 2 ≤ 2 by admit /- proof elided -/
    ))
    (more : ∀ (row : Row F S) (rest : Trace F S) (h : rest.len ≥ 2),
      P rest h → P (rest +> row) (Nat.le_succ_of_le h))
    : ∀ (trace : Trace F S) (h : trace.len ≥ 2), P trace h
  
  
  | <+> => by admit /- proof elided -/
  | <+> +> first => by admit /- proof elided -/
  | <+> +> first +> second => fun _ => base first second
  | rest +> prev +> curr +> next => fun h =>
    have h_len : 2 ≤ rest.len + 2 := by admit /- proof elided -/

def two_row_induction {prop : Row F S → ℕ → Prop}
    (zero : ∀ first_row : Row F S, prop first_row 0)
    (succ : ∀ (N : ℕ) (curr next : Row F S), prop curr N → prop next (N + 1))
    : ∀ N (trace : TraceOfLength F S N), ForAllRowsOfTraceWithIndex trace prop :=

def Assumptions := KeccakState.Normalized (p:=p)

def Spec (input : Inputs (F p)) (z : U32 (F p)) :=
  let ⟨x, y⟩ := input
  z.value = (x.value + y.value) % 2^32 ∧ z.Normalized

structure Inputs (F : Type) where
  state : BLAKE3State F
  x : U32 F
  y : U32 F

instance : ProvableStruct Inputs where
  components := [U32, U32]
  toComponents := fun { x, y } => .cons x (.cons y .nil)
  fromComponents := fun (.cons x (.cons y .nil)) => { x, y }

Finset.range in Mathlib.Data.Finset.Range

def femtoCairoMachineTransition
    {programSize : ℕ} [NeZero programSize] (program : Fin programSize → (F p))
    {memorySize : ℕ} [NeZero memorySize] (memory : Fin memorySize → (F p))
    (state : State (F p)) : Option (State (F p)) := do
  
  let { rawInstrType, op1, op2, op3 } ← fetchInstruction program state.pc

completeness := by admit /- proof elided -/

@[table_norm, table_assignment_norm]
def assignCurrRow {W : ℕ+} (curr : Var S F) : TableConstraint W S F Unit :=
  let vars := toVars curr
  forM (List.finRange (size S)) fun i =>
    assign (.curr i) vars[i]

Vector.range in Init.Data.Vector.Basic

let z ← Gadgets.Addition32.circuit { x := curr.x, y := curr.y }

def circuit : FormalCircuit (F p) fieldPair field where
  main
  localLength _ := 1
  localLength_eq := by admit /- proof elided -/

-- Test single block processing
-- With the fix, 64 bytes now stay in the buffer (matching Python behavior)
example :
    let state := initialChunkState testCV 0
    let updated := updateChunk state testBlock64
    updated.blocks_compressed = 0 ∧ updated.block_buffer = testBlock64 :=

@[circuit_norm]
def ConstraintsHold (eval : Environment F) : List (Operation F) → Prop
  | [] => True
  | .witness _ _ :: ops => ConstraintsHold eval ops
  | .assert e :: ops => eval e = 0 ∧ ConstraintsHold eval ops
  | .lookup { table, entry, .. } :: ops =>
    table.Contains (entry.map eval) ∧ ConstraintsHold eval ops
  | .subcircuit s :: ops =>
    ConstraintsHoldFlat eval s.ops ∧ ConstraintsHold eval ops

instance : Repr (Variable F) where
  reprPrec v _ := "var ⟨" ++ repr v.index ++ "⟩"

def p1009 := 1009

def main (input : Var Input (F p)) : Circuit (F p) (Var KeccakState (F p)) := do
  let { state, block } := input
  
  let state_rate ← Circuit.mapFinRange RATE fun i => Xor64.circuit ⟨state[i.val], block[i.val]⟩

def iv : Vector UInt32 8 := #v[
  0x6a09e667,
  0xbb67ae85,
  0x3c6ef372,
  0xa54ff53a,
  0x510e527f,
  0x9b05688c,
  0x1f83d9ab,
  0x5be0cd19
]

instance ProvableVector.instance : ProvableType (ProvableVector α n) where
  size := n * size α
  toElements x := x.map toElements |>.flatten
  fromElements v := v.toChunks (psize α) |>.map fromElements
  fromElements_toElements x := by admit /- proof elided -/

let state_capacity := Vector.mapFinRange (25 - RATE) fun i => state[RATE + i.val]
  let state' : Vector _ 25 := state_rate ++ state_capacity

instance elaborated : ElaboratedCircuit F M field where
  main
  localLength _ := 2 * size M
  localLength_eq := by admit /- proof elided -/

instance : ProvableStruct Inputs where
  components := [fields 4, fields 2]
  toComponents := fun {c, s} => .cons c (.cons s .nil)
  fromComponents := fun (.cons c (.cons s .nil)) => ⟨c, s⟩

Spec input output :=
    output = (if input = 0 then 1 else 0)

def circuit : FormalCircuit (F p) Inputs Outputs where
  main
  Assumptions
  Spec
  localLength _ := 2
  output _ i0 := { z := var ⟨i0⟩, carryOut := var ⟨i0 + 1⟩ }

MulZeroOneClass in Mathlib.Algebra.GroupWithZero.Defs

def processBlocksWords (state : ChunkState) (blocks : List (Vector ℕ 16)) : ChunkState :=
  blocks.foldl processBlockWords state

Set in Mathlib.Data.Set.Defs

def induct {motive : Operations F → Sort*}
  (empty : motive [])
  (witness : ∀ m c ops, motive ops → motive (.witness m c :: ops))
  (assert : ∀ e ops, motive ops → motive (.assert e :: ops))
  (lookup : ∀ l ops, motive ops → motive (.lookup l :: ops))
  (subcircuit : ∀ {n} (s : Subcircuit F n) ops, motive ops → motive (.subcircuit s :: ops))
    (ops : Operations F) : motive ops :=
  match ops with
  | [] => empty
  | .witness m c :: ops => witness m c ops (induct empty witness assert lookup subcircuit ops)
  | .assert e :: ops => assert e ops (induct empty witness assert lookup subcircuit ops)
  | .lookup l :: ops => lookup l ops (induct empty witness assert lookup subcircuit ops)
  | .subcircuit s :: ops => subcircuit s ops (induct empty witness assert lookup subcircuit ops)

def Spec (state : KeccakState (F p)) (out_state : KeccakState (F p)) : Prop :=
  out_state.Normalized
  ∧ out_state.value = Specs.Keccak256.theta state.value

def circuit : FormalCircuit (F p) ApplyRounds.Inputs BLAKE3State := {
  elaborated with Assumptions, Spec, soundness, completeness
}

Fin.isValue in Lean.Meta.Tactic.Simp.BuiltinSimprocs.Fin

Nat.bitwise in Init.Data.Nat.Bitwise.Basic

Assumptions := fun { enabled, inp } =>
    enabled = 0 ∨ enabled = 1

def inputLinearSum (n ops : ℕ) (inp : BinSumInput n ops (Expression (F p))) : Expression (F p) :=
  
  Fin.foldl n (fun lin k =>
    Fin.foldl ops (fun lin j => lin + inp[j][k] * (2^k.val : F p)) lin) 0

Spec : (initialState : State F) → (xs : List (Input F)) → (i : ℕ) → (xs.length = i) → (currentState : State F) → Prop

structure RawTable (F : Type) where
  name : String
  arity : ℕ
  Contains : Vector F arity → Prop
  Soundness : Vector F arity → Prop
  Completeness : Vector F arity → Prop
  imply_soundness : ∀ row, Contains row → Soundness row
  implied_by_completeness : ∀ row, Completeness row → Contains row

instFintypeProd in Mathlib.Data.Fintype.Prod

@[circuit_norm]
def componentsToElements {F : Type} : (cs : List WithProvableType) → ProvableTypeList F cs → Vector F (combinedSize' cs)
  | [], .nil => #v[]
  | _ :: cs, .cons a as => toElements a ++ componentsToElements cs as

def circuit : FormalCircuit (F p) KeccakState KeccakRow :=
 { elaborated with Assumptions, Spec, soundness, completeness }

localLength _ := 2
  output _ i0 := var ⟨i0⟩

def rhoPi (state : Vector ℕ 25) : Vector ℕ 25 :=
  #v[
    rotLeft64 state[0] 0,
    rotLeft64 state[15] 28,
    rotLeft64 state[5] 1,
    rotLeft64 state[20] 27,
    rotLeft64 state[10] 62,
    rotLeft64 state[6] 44,
    rotLeft64 state[21] 20,
    rotLeft64 state[11] 6,
    rotLeft64 state[1] 36,
    rotLeft64 state[16] 55,
    rotLeft64 state[12] 43,
    rotLeft64 state[2] 3,
    rotLeft64 state[17] 25,
    rotLeft64 state[7] 10,
    rotLeft64 state[22] 39,
    rotLeft64 state[18] 21,
    rotLeft64 state[8] 45,
    rotLeft64 state[23] 8,
    rotLeft64 state[13] 15,
    rotLeft64 state[3] 41,
    rotLeft64 state[24] 14,
    rotLeft64 state[14] 61,
    rotLeft64 state[4] 18,
    rotLeft64 state[19] 56,
    rotLeft64 state[9] 2
  ]

localLength _ := n + 1
  localLength_eq := by admit /- proof elided -/

Spec _ _ i _ row : Prop :=
    row.x.value = fib32 i ∧
    row.y.value = fib32 (i + 1) ∧
    row.x.Normalized ∧ row.y.Normalized

@[reducible] def fieldVar (F : Type) := field (Expression F)

localLength _ := nbits ((2^n - 1) * ops)
  localLength_eq := by admit /- proof elided -/

def KeccakBlock.Normalized (block : KeccakBlock (F p)) :=
  ∀ i : Fin RATE, block[i.val].Normalized

@[table_assignment_norm]
def get {M : ℕ} :
    (env : TraceOfLength F S M) → (i : Fin M) → (j : Fin (size S)) → F
  | ⟨env, h⟩, i, j => env.getLeFromBottom ⟨
      M - 1 - i,
      by admit /- proof elided -/
    ⟩ j

soundness : InductiveTable.Soundness F State Input Spec step

def rotRight64 (x : ℕ) (offset : ℕ) : ℕ :=
  let offset := offset % 64
  let low := x % (2^offset)
  let high := x / (2^offset)
  low * (2^(64-offset)) + high

@[table_norm]
def TableConstraintsHold {N : ℕ} (constraints : List (TableOperation S F))
  (trace : TraceOfLength F S N) (env : ℕ → ℕ → Environment F) : Prop :=
  let constraints_and_envs := constraints.mapIdx (fun i cs => (cs, env i))
  foldl N constraints_and_envs trace.val constraints_and_envs
  where

def KeccakRow.Normalized (row : KeccakRow (F p)) :=
  ∀ i : Fin 5, row[i.val].Normalized

def main (offset : Fin 32) (x : Var U32 (F p)) : Circuit (F p) (Var U32 (F p)) := do
  let byte_offset : Fin 4 := ⟨ offset.val / 8, by admit /- proof elided -/
  ⟩
  let bit_offset : Fin 8 := ⟨ offset.val % 8, by admit /- proof elided -/
  ⟩

private def isStructLiteral (e : Expr) : MetaM Bool := do
  
  try
    let type ← inferType e
    if ← hasProvableStructInstance type then
      
      isMkConstructor e
    else
      return false
  catch _ => return false

instance {p : ℕ} : DecidableEq (F p) := ZMod.decidableEq p

let mux_out ← MultiMux3.circuit 1 { c := #v[c], s }
  return mux_out[0]

def rotRight64_bytes (xs : Vector ℕ 8) (o : ℕ) : Vector ℕ 8 :=
  .ofFn fun ⟨ i, hi ⟩ => xs[i] / 2^o + (xs[(i + 1) % 8] % 2^o) * 2^(8-o)

Assumptions _ := True
  Spec (x : F p) := x.val < 2^n

structure TestInputs (F : Type) where
  x : F
  y : F
  z : F

def Assumptions (input : ApplyRounds.Inputs (F p)) : Prop :=
  ApplyRounds.Assumptions input

def Assumptions (input : Inputs (F p)) :=
  let ⟨x, y⟩ := input
  x.Normalized ∧ y.Normalized

def thetaC (state : Vector ℕ 25) : Vector ℕ 5 :=
  #v[
    state[0] ^^^ state[1] ^^^ state[2] ^^^ state[3] ^^^ state[4],
    state[5] ^^^ state[6] ^^^ state[7] ^^^ state[8] ^^^ state[9],
    state[10] ^^^ state[11] ^^^ state[12] ^^^ state[13] ^^^ state[14],
    state[15] ^^^ state[16] ^^^ state[17] ^^^ state[18] ^^^ state[19],
    state[20] ^^^ state[21] ^^^ state[22] ^^^ state[23] ^^^ state[24]
  ]

instance elaborated : ElaboratedCircuit (F p) KeccakRow KeccakRow where
  main
  localLength _ := 120

class ProvableStruct (α : TypeMap) where
  components : List WithProvableType
  toComponents {F : Type} : α F → ProvableTypeList F components
  fromComponents {F : Type} : ProvableTypeList F components → α F

structure Inputs (F : Type) where
  x: F
  y: F
  carryIn: F

let out1 ← main input1
    let out2 ← main input2

Array in Init.Prelude

InputAssumptions : ℕ → Input F → Prop := fun _ _ => True
  InitialStateAssumptions : State F → Prop := fun _ => True

let mut currentGoal := goal
    let mut decomposed := false

instance {α : TypeMap} [ProvableType α] : ExplicitCircuits (ProvableType.witness (α:=α) (F:=F)) where
  output _ n := varFromOffset α n
  localLength _ _ := size α
  operations c n := [.witness (size α) (toElements ∘ c)]

def toLimbs {F} (x : U32 F) : Vector F 4 := toElements x

def InductiveTable.Soundness (F : Type) [Field F] (State Input : Type → Type) [ProvableType State] [ProvableType Input]
    (Spec : (initialState : State F) → (xs : List (Input F)) → (i : ℕ) → (xs.length = i) → (currentState : State F) → Prop)
    (step : Var State F → Var Input F → Circuit F (Var State F)) :=
  ∀ (initialState : State F) (row_index : ℕ) (env : Environment F),
  
  ∀ (acc_var : Var State F) (x_var : Var Input F)
    (acc : State F) (x : Input F) (xs : List (Input F)) (xs_len : xs.length = row_index),
      (eval env acc_var = acc) ∧ (eval env x_var = x) →
    
    Circuit.ConstraintsHold.Soundness env (step acc_var x_var |>.operations ((size State) + (size Input))) →
    
    Spec initialState xs row_index xs_len acc →
    
    Spec initialState (xs.concat x) (row_index + 1) (xs_len ▸ List.length_concat) (eval env (step acc_var x_var |>.output ((size State) + (size Input))))

structure SimpleStruct (F : Type) where
  a : F
  b : F

UInt32.size in Init.Prelude

def proverEnvironment (circuit : LookupCircuit F α β) (input : α F) : Environment F :=
  circuit.main (const input) |>.proverEnvironment

instance : Sub (Expression F) where
  sub e₁ e₂ := add e₁ (-e₂)

@[table_norm]
def ForAllRowsOfTraceWithIndex {N : ℕ}
    (trace : TraceOfLength F S N) (prop : Row F S → ℕ → Prop) : Prop :=
  trace.val.ForAllRowsOfTraceWithIndex prop

instance : ProvableStruct (Inputs M) where
  components := [field, M, M]
  toComponents := fun { selector, ifTrue, ifFalse } => .cons selector (.cons ifTrue (.cons ifFalse .nil))
  fromComponents := fun (.cons selector (.cons ifTrue (.cons ifFalse .nil))) => { selector, ifTrue, ifFalse }

def Spec (input : Inputs (F p)) (out : BLAKE3State (F p)) :=
  let { chaining_value, block_words, counter_high, counter_low, block_len, flags } := input
  out.value = applyRounds
    (chaining_value.map U32.value)
    (block_words.map U32.value)
    (counter_low.value + 2^32 * counter_high.value)
    block_len.value
    flags.value ∧
  out.Normalized

CommRing in Mathlib.Algebra.Ring.Defs

class NonEmptyProvableType (M : TypeMap) extends ProvableType M where
  nonempty : size > 0 := by admit /- proof elided -/

let startFlagU32 : Var U32 (F p) :=  ⟨isFirstBlock * (Expression.const (F:=F p) chunkStart), 0, 0, 0⟩

Not in Init.Prelude

def stateInitRound : Vector ℕ 16 := #v[1048429017, 869689525, 3373747814, 3881173978, 867318181, 93804160, 1095841330, 3806666906, 1528071400, 2951122214, 4271188711, 3509256835, 40453064, 3578515354, 1456976626, 243768026]

def inductPush {motive : {n : ℕ} → Vector α n → Sort u}
  (nil : motive #v[])
  (push: ∀ {n : ℕ} (as : Vector α n) (a : α), motive as → motive (as.push a))
  {n : ℕ} (v : Vector α n) : motive v :=
  match v with
  | ⟨ .mk [], (h : 0 = n) ⟩ =>
    cast (by admit /- proof elided -/
    ) nil
  | ⟨ .mk (a :: as), h ⟩ =>
    have hlen : as.length + 1 = n := by admit /- proof elided -/

instance : Repr (CellOffset W S) where
  reprPrec off _ := "⟨" ++ reprStr off.row ++ ", " ++ reprStr off.column ++ "⟩"

@[circuit_norm]
def SubcircuitsConsistent (offset : ℕ) (ops : Operations F) := ops.forAll offset {
  subcircuit offset {n} _ := n = offset
}

@[circuit_norm]
def FormalAssertion.Soundness (F : Type) [Field F] (circuit : ElaboratedCircuit F Input unit)
    (Assumptions : Input F → Prop) (Spec : Input F → Prop) :=
  
  ∀ offset : ℕ, ∀ env,
  
  ∀ input_var : Var Input F, ∀ input : Input F, eval env input_var = input →
  Assumptions input →
  
  ConstraintsHold.Soundness env (circuit.main input_var |>.operations offset) →
  
  Spec input

def concatTwoBytes (x y : Fin 256) : Fin (256 * 256) :=
  let i := x.val * 256 + y.val
  have i_lt : i < 256 * 256 := by admit /- proof elided -/

def permute (state : Vector ℕ 16) : Vector ℕ 16 :=
  Vector.ofFn (fun i => state[msgPermutation[i]])

instance (T : Type) [Repr T] : Repr (U32 T) where
  reprPrec x _ := "⟨" ++ repr x.x0 ++ ", " ++ repr x.x1 ++ ", " ++ repr x.x2 ++ ", " ++ repr x.x3 ++ "⟩"

def keyLen : ℕ := 32

instance {F : Type} [Field F] : HasAssertEq (Expression F) F where
  assert_eq := Expression.assertEquals

let state_b ← Rotation32.circuit 12 <|
    ← Xor32.circuit ⟨state[b], state_c⟩

def generateFieldBasedNames (baseName : Name) (fieldNames : Array Name) : Array Name :=
  fieldNames.map fun fieldName => baseName.appendAfter s!"_{fieldName}"

instance : HAdd (field (Expression F)) (field (Expression F)) (field (Expression F)) where
  hAdd (a : Expression F) (b : Expression F) := a + b

instance ExplicitCircuit.from_bind {f : Circuit F α} {g : α → Circuit F β}
    (f_explicit : ExplicitCircuit f) (g_explicit : ∀ a : α, ExplicitCircuit (g a)) : ExplicitCircuit (f >>= g) where
  output n :=
    let a := output f n
    output (g a) (n + localLength f n)

def main (input : Vector (Expression (F p)) 254) := do
  
  AliasCheck.circuit input

output_eq : ∀ n : ℕ, circuit.output n = output n := by admit /- proof elided -/

instance : ToJson (Operations F) where
  toJson ops := toJson ops.toList

def ConstraintsHoldFlat (eval : Environment F) : List (FlatOperation F) → Prop
  | [] => True
  | op :: ops => match op with
    | assert e => (eval e = 0) ∧ ConstraintsHoldFlat eval ops
    | lookup { table, entry } =>
      table.Contains (entry.map eval) ∧ ConstraintsHoldFlat eval ops
    | _ => ConstraintsHoldFlat eval ops

Inv in Init.Prelude

instance primeBabybear : Fact (pBabybear.Prime) :=

soundness := by admit /- proof elided -/

partial def SpecializeAuto (e_term : Lean.Term): Lean.Elab.Tactic.TacticM Unit := do
  let (e, mvarIds') ← elabTermWithHoles e_term none `specialize_auto (allowNaturalHoles := true)

List in Init.Prelude

assertZero (decoded.instrType.isMul * (v3 - (v1 * v2)))

soundness := by admit /- proof elided -/

def equalityConstraint (Input : TypeMap) [ProvableType Input] (target : State F) : SingleRowConstraint (ProvablePair State Input) F := do
  let (actual, _) ← getCurrRow
  actual === (const target)

structure Inputs (F : Type) where
  c : Vector F 2  
  s : F

@[circuit_norm]
def ConstantOutput (circuit : α → Circuit F β) [Inhabited α] :=
  ∀ (x : α) (n : ℕ), (circuit x).output n = (circuit default).output n

let c2 ← Rotation64.circuit (64 - 1) row[3]
  let c2 ← Xor64.circuit ⟨row[1], c2⟩

def add32 (a b : ℕ) : ℕ := (a + b) % 2^32

instance elaborated : ElaboratedCircuit (F p) Inputs field where
  main
  localLength _ := 1
  output _ i := var ⟨i⟩

Lean.getStructureFields in Lean.Structure

instance (p : ℕ) : CommRing (F p) := ZMod.commRing p

x === low + high * (2^offset.val : F p)

instance explicit : ExplicitCircuits (Gadgets.Addition32Full.main (p:=pBabybear)) :=

let rotated := highs.zip (lows.rotate 1) |>.map fun (high, low) =>
    high + low * ((2^(8-offset.val) : ℕ) : F p)

soundness := by admit /- proof elided -/

instance : Repr (Cell W S) where
  reprPrec cell _ := match cell with
    | .input off => ".input " ++ reprStr off
    | .aux i => ".aux " ++ reprStr i

def main (state : Var KeccakState (F p)) : Circuit (F p) (Var KeccakRow (F p)) :=
  .mapFinRange 5 fun i => do
    let c ← Xor64.circuit ⟨state[5*i.val], state[5*i.val + 1]⟩
    let c ← Xor64.circuit ⟨c, state[5*i.val + 2]⟩
    let c ← Xor64.circuit ⟨c, state[5*i.val + 3]⟩
    let c ← Xor64.circuit ⟨c, state[5*i.val + 4]⟩
    return c

def applyTwoRounds (state : Vector ℕ 16) (message : Vector ℕ 16) : Vector ℕ 16 × Vector ℕ 16 :=
  let state1 := round state message
  let msg1 := permute message
  let state2 := round state1 msg1
  let msg2 := permute msg1
  (state2, msg2)

def Spec (initialState : ProcessBlocksState (F p)) (inputs : List (BlockInput (F p))) i (_ : inputs.length = i) (state : ProcessBlocksState (F p)) :=
    inputs.length < 2^32 →
    initialState.Normalized ∧
    (∀ input ∈ inputs, input.Normalized) ∧
    
    
    let validBlocks := inputs |>.filter (·.block_exists = 1)
    let blockWords := validBlocks.map (fun b => b.block_data.map (·.value))
    let finalState := processBlocksWords initialState.toChunkState blockWords
    
    state.toChunkState.blocks_compressed < inputs.length ∧
    state.toChunkState = finalState ∧
    state.Normalized

localLength _ := 0
  
  output _ _ := ()

contains_iff := by admit /- proof elided -/

imply_soundness := by admit /- proof elided -/

def applySixRounds (state : Vector ℕ 16) (message : Vector ℕ 16) : Vector ℕ 16 × Vector ℕ 16 :=
  let state1 := round state message
  let msg1 := permute message
  let state2 := round state1 msg1
  let msg2 := permute msg1
  let state3 := round state2 msg2
  let msg3 := permute msg2
  let state4 := round state3 msg3
  let msg4 := permute msg3
  let state5 := round state4 msg4
  let msg5 := permute msg4
  let state6 := round state5 msg5
  let msg6 := permute msg5
  (state6, msg6)

return out

def initRow : RowType (F p_babybear) := { x := 0, y := 1 }

instance : ProvableType RowType where
  size := 2
  toElements x := #v[x.x, x.y]
  fromElements v :=
    let ⟨ .mk [x, y], _ ⟩ := v
    ⟨ x, y ⟩

instance : Fact (p > 512) := .mk (by admit /- proof elided -/
)

Vector.push in Init.Data.Vector.Basic

structure DecodedInstructionType (F : Type) where
  isAdd : F
  isMul : F
  isStoreState : F
  isLoadState : F

instance : Zero (Expression F) where
  zero := const 0

instance : ProvableStruct Outputs where
  components := [field, field]
  toComponents := fun { low, high } => .cons low (.cons high .nil)
  fromComponents := fun (.cons low (.cons high .nil)) => { low, high }

LawfulMonad in Init.Control.Lawful.Basic

let equalities ← extractEqualities type

instance elaborated (rc : UInt64) : ElaboratedCircuit (F p) KeccakState KeccakState where
  main := main rc
  localLength _ := 1288
  output _ i0 := (Vector.mapRange 25 fun i => varFromOffset U64 (i0 + i*16 + 888) ).set 0 (varFromOffset U64 (i0 + 1280))

Nat.cast in Init.Data.Cast

subcircuitsConsistent : ∀ acc x, ((step acc x).operations ((size State) + (size Input))).SubcircuitsConsistent ((size State) + (size Input))
    := by admit /- proof elided -/

def main (state : Var BLAKE3State (F p)) : Circuit (F p) (Var BLAKE3State (F p)) := do
  return Vector.ofFn (fun i => state[msgPermutation[i]])

def ProvableType.witnessAny (α: TypeMap) [ProvableType α] : Circuit F (Var α F) := do
  let offset ← getOffset
  witness (computeValueFromOffset α offset)

let state_c ← Addition32.circuit ⟨state_c, state_d⟩

def toLimbs {F} (x : U64 F) : Vector F 8 := toElements x

let state_b ← Rotation32.circuit 7 <|
    ← Xor32.circuit ⟨state_b, state_c⟩

def ProvablePair.fromElements {α β: TypeMap} [ProvableType α] [ProvableType β] (xs : Vector F (size α + size β)) : α F × β F :=
  (ProvableType.fromElements xs : ProvablePair α β F)

def round (state : Vector ℕ 16) (m : Vector ℕ 16) : Vector ℕ 16 :=
  roundConstants.foldl (fun state (a, b, c, d, i, j) =>
    g state a b c d m[i] m[j]
  ) state

for (_, lhs, rhs) in equalities do
        
        let lhsIsConstructor ← isMkConstructor lhs
        let rhsIsConstructor ← isMkConstructor rhs

def stateVar (n : ℕ) (i : ℕ) : Var KeccakState (F p) :=
  Vector.mapRange 25 (fun j => varFromOffset U64 (n + i * 1288 + j * 16 + 888))
  |>.set 0 (varFromOffset U64 (n + i * 1288 + 1280))

let carryOut ← witness fun eval => floorDiv256 (eval (x + y + carryIn))
  assertBool carryOut

def rotRight32_eq_bv_rotate (x : ℕ) (h : x < 2^32) (offset : ℕ) :
    rotRight32 x offset = (x.toUInt32.toBitVec.rotateRight offset).toNat :=

@[reducible, table_norm, table_assignment_norm]
def finalOffset (table : TableConstraint W S F α) : ℕ :=
  table .empty |>.snd.circuit.localLength

def Assumptions (state : KeccakState (F p)) := state.Normalized

structure NestedInputs (F : Type) where
  first : TestInputs F
  second : TestInputs F

def Spec (inputs : Inputs (F p)) (out : KeccakState (F p)) : Prop :=
  let ⟨state, d⟩ := inputs
  out.Normalized
  ∧ out.value = Specs.Keccak256.thetaXor state.value d.value

@[circuit_norm]
def assertZero (e : Expression F) : Circuit F Unit := fun _ =>
  ((), [.assert e])

Vector.foldl in Init.Data.Vector.Basic

localLength n :=
    let a := output f n
    localLength f n + localLength (g a) (n + localLength f n)

instance ExplicitCircuits.to_single (circuit : α → Circuit F β) (a : α)
    [explicit : ExplicitCircuits circuit] : ExplicitCircuit (circuit a) where
  output n := output circuit a n
  localLength n := explicit.localLength a n
  operations n := operations circuit a n
  output_eq n := output_eq a n
  localLength_eq n := localLength_eq a n
  operations_eq n := operations_eq a n
  subcircuitsConsistent n := subcircuitsConsistent a n

instance (T : Type) [Repr T] : Repr (U64 T) where
  reprPrec x _ := "⟨" ++ repr x.x0 ++ ", " ++ repr x.x1 ++ ", " ++ repr x.x2 ++ ", " ++ repr x.x3 ++ ", " ++ repr x.x4 ++ ", " ++ repr x.x5 ++ ", " ++ repr x.x6 ++ ", " ++ repr x.x7 ++ "⟩"

structure Inputs (F : Type) where
  state : KeccakState F
  d : KeccakRow F

def circuit (offset : Fin 8) : FormalCircuit (F p) field Outputs := {
  elaborated offset with
  main := main offset
  Assumptions
  Spec := Spec offset
  soundness := soundness offset
  completeness := completeness offset
}

toNat in Mathlib.Computability.Reduce

def main (offset : Fin 64) (x : Var U64 (F p)) : Circuit (F p) (Var U64 (F p)) := do
  let byte_offset : Fin 8 := ⟨ offset.val / 8, by admit /- proof elided -/
  ⟩
  let bit_offset : Fin 8 := ⟨ offset.val % 8, by admit /- proof elided -/
  ⟩

def memoryAccess {n : ℕ} [NeZero n] (memory : Fin n → F p) (addr : F p) : Option (F p) :=
  if h : addr.val < n then
    some (memory ⟨addr.val, h⟩)
  else
    none

def ConstantLength.fromConstantLength {circuit : α → Circuit F β} [Inhabited α]
    (h : ∀ (a : α) n, (circuit a).localLength n = (circuit default).localLength 0) : ConstantLength circuit where
  localLength := (circuit default).localLength 0
  localLength_eq a n := h a n

return #v[c0, c1, c2, c3, c4]

Vector.drop in Init.Data.Vector.Basic

inferInstanceAs in Init.Prelude

localLength_eq : ∀ input offset, (main input).localLength offset = localLength input
    := by admit /- proof elided -/

let headConst? := goalType.getAppFn.constName?
    let isSoundness := headConst? == some ``Soundness ||
                       headConst? == some ``FormalAssertion.Soundness ||
                       headConst? == some ``GeneralFormalCircuit.Soundness
    let isCompleteness := headConst? == some ``Completeness ||
                          headConst? == some ``FormalAssertion.Completeness ||
                          headConst? == some ``GeneralFormalCircuit.Completeness

def IsBool {α : Type*} [Zero α] [One α] (x : α) : Prop := x = 0 ∨ x = 1

IO in Init.System.IO

def MemoryAccessList.filterAddress (accesses : MemoryAccessList) (addr : ℕ) : MemoryAccessList :=
  accesses.filter (fun (_timestamp, addr', _readValue, _writeValue) => addr' = addr)

def localWitnesses (env : Environment F) : (op : Operation F) → Vector F op.localLength
  | .witness _ c => c env
  | .assert _ => #v[]
  | .lookup _ => #v[]
  | .subcircuit s => s.witnesses env

def circuit : FormalCircuit (F p) (fields 254) field where
  main
  localLength input := (CompConstant.circuit ((p - 1) / 2)).localLength input

def Operations.forAllFlat (n : ℕ) (condition : Condition F) (ops : Operations F) : Prop :=
  forAll n { condition with subcircuit n _ s := FlatOperation.forAll n condition s.ops } ops

instance : IsIrrefl MemoryAccess address_strict_timestamp_ordering :=

@[table_norm]
def ForAllRowsOfTrace {N : ℕ}
    (trace : TraceOfLength F S N) (prop : Row F S → Prop) : Prop :=
  inner trace.val prop
  where

def circuit : FormalCircuit (F p) BLAKE3State BLAKE3State :=
  { elaborated with Assumptions, Spec, soundness, completeness }

List.Sorted in Mathlib.Deprecated.Sort

def update (v : Vector α n) (i : Fin n) (f : α → α) : Vector α n :=
  v.set i (f (v.get i))

instance : HMul (field (Expression F)) (field (Expression F)) (field (Expression F)) where
  hMul (a : Expression F) (b : Expression F) := a * b

def Spec (input : Inputs (F p)) (out : BLAKE3State (F p)) :=
  let { state, chaining_value } := input
  out.value = finalStateUpdate state.value (chaining_value.map U32.value) ∧ out.Normalized

def Assumptions (input : Inputs (F p)) :=
  let { state, x, y } := input
  state.Normalized ∧ x.Normalized ∧ y.Normalized

def main (n : ℕ) [NeZero n] (inp : BinSubInput n (Expression (F p))) := do
  
  let lin := Fin.foldl n (fun lin i =>
      let e2 : Expression (F p) := (2^i.val : F p)
      lin + inp[0][i] * e2 - inp[1][i] * e2)
    (2^n : F p)

def FlatOperation.proverEnvironment (ops : List (FlatOperation F)) (init : List F) : Environment F :=
  .fromList (FlatOperation.dynamicWitnesses ops init)

def generateStructFieldNames (fvarId : FVarId) : MetaM AltVarNames := do
  let localDecl ← fvarId.getDecl
  let userName := localDecl.userName

go e []

@[circuit_norm]
def varFromOffset (α : TypeMap) [ProvableStruct α] (offset : ℕ) : Var α F :=
  go (components α) offset |> fromComponents (F:=Expression F)
where

instance {F : Type} [Field F] {n : ℕ} : HasAssignEq (Vector (Expression F) n) F :=
  inferInstanceAs (HasAssignEq (fields n (Expression F)) F)

NeZero in Init.Data.NeZero

structure MemoryReadInput (F : Type) where
  state : State F
  offset : F
  mode : DecodedAddressingMode F

structure FormalAssertion (F : Type) (Input : TypeMap) [Field F] [ProvableType Input]
    extends elaborated : ElaboratedCircuit F Input unit where
  Assumptions : Input F → Prop
  Spec : Input F → Prop
  soundness : FormalAssertion.Soundness F elaborated Assumptions Spec
  completeness : FormalAssertion.Completeness F elaborated Assumptions Spec

UInt32.ofNatLT in Init.Prelude

def Spec {N : ℕ} (trace : TraceOfLength (F p) RowType N) : Prop :=
  trace.ForAllRowsOfTraceWithIndex fun row index =>
    (row.x.val = fib8 index) ∧
    (row.y.val = fib8 (index + 1))

instance [Repr F] : Repr (TableConstraint W S F α) where
  reprPrec table _ := reprStr (table .empty).2

structure Inputs (F : Type) where
  state : ProcessBlocksState F          
  buffer_len : F                        
  buffer_data : Vector F 64             
  base_flags : U32 F

instance : ProvableType fieldPair where
  size := 2
  toElements := fun (x, y) => #v[x, y]
  fromElements := fun ⟨⟨[x, y]⟩, _ ⟩ => (x, y)

def Spec (input : Inputs (F p)) (out : Outputs (F p)) :=
  let ⟨x, y, carryIn⟩ := input
  out.z.val = (x.val + y.val + carryIn.val) % 256 ∧
  out.carryOut.val = (x.val + y.val + carryIn.val) / 256

List.filter in Init.Data.List.Basic
</all_available_defs>

<all_available_lemmas>
lemma mul_mod256_off {offset : ℕ} (ho : offset < 8) (x i : ℕ) (h : i > 0):
    (x * 256^i) % 2^offset = 0

lemma Nat.pow_minus_one_mul {x y : ℕ} (hy : y > 0) : x ^ y = x * x ^ (y - 1)

lemma divides_256_two_power {offset : ℕ} (ho : offset < 8) {x i : ℕ} (h : i > 0):
    (2^offset) ∣ x * (256 ^ i)

lemma div_256_two_power {offset : ℕ} (ho : offset < 8) {i : ℕ} (h : i > 0):
    256^i / 2^offset = 256^(i-1) * 2^(8-offset)

lemma mul_div_256_off {offset : ℕ} (ho : offset < 8) {x : ℕ} (i : ℕ) (h : i > 0):
    (x * 256^i) / 2^offset = x * 256^(i-1) * 2^(8-offset)

lemma shifted_decomposition_eq {offset : ℕ} (ho : offset < 8) {x1 x2 : ℕ} :
    (x1 / 2 ^ offset + x2 % 2 ^ offset * 2 ^ (8-offset)) * 256 =
    (2^offset * (x1 / 2^offset) + (x2 % 2^offset) * 256) * 2^(8-offset)

lemma shifted_decomposition_eq' {offset : ℕ} (ho : offset < 8) {x1 x2 i : ℕ} (hi : i > 0) :
    (x1 / 2 ^ offset + x2 % 2 ^ offset * 2 ^ (8-offset)) * 256^i =
    (2^offset * (x1 / 2^offset) + (x2 % 2^offset) * 256) * 2^(8-offset) * 256^(i-1)

lemma shifted_decomposition_eq'' {offset : ℕ} (ho : offset < 8) {x1 x2 i : ℕ} (hi : i > 0) :
    (x1 / 2 ^ offset + x2 % 2 ^ offset * 2 ^ (8-offset)) * 256^i =
    (2^offset * (x1 / 2^offset) * 2^(8-offset) * 256^(i-1) +
    (x2 % 2^offset) * 2^(8-offset) * 256^i)

lemma soundness_simp {offset : ℕ} {x y : ℕ} :
    x % 2 ^ offset * 2 ^ (8-offset) * y + 2 ^ offset * (x / 2 ^ offset) * 2 ^ (8-offset) * y =
    x * y * 2^ (8-offset)

lemma soundness_simp' {offset : ℕ} {x : ℕ} :
    x % 2 ^ offset * 2 ^ (8-offset) + 2 ^ offset * (x / 2 ^ offset) * 2 ^ (8-offset) =
    x * 2^ (8-offset)

lemma positive_netFlow_has_outgoing_edge (R : Run S) (s : S)
    (h_pos : R.netFlow s > 0) :
    ∃ y, R (s, y) > 0

lemma subcircuit_localLength_eq (circuit : FormalCircuit F β α) (input : Var β F) (offset : ℕ) :
  (circuit.toSubcircuit offset input).localLength = circuit.localLength input

lemma zip_take_sublist (l1 l2 : List S) (n m : ℕ) :
    ((l1.take n).zip (l2.take m)).Sublist (l1.zip l2)

lemma Vector.mapRange_one {α : Type} (f : ℕ → α) :
  Vector.mapRange 1 f = #v[f 0]

omit p_prime in
lemma two_pow_lt (n : ℕ) (hn : n ≤ 8) : 2^n < p

lemma cycle_from_suffix_contains (R : Run S) (suffix : List S) (current y : S)
    (h_suffix_nodup : suffix.Nodup)
    (h_contains_suffix : R.containsPath suffix)
    (h_suffix_nonempty : suffix ≠ [])
    (h_suffix_last : suffix.getLast? = some current)
    (h_edge : R (current, y) > 0) :
    ∀ t : Transition S, countTransitionInPath t (suffix ++ [y]) ≤ R t

lemma sum_nat_cast_nonneg {α : Type*} [Fintype α] (f : α → ℕ) :
    0 ≤ ∑ x : α, (f x : ℤ)

theorem iff_mul_sub_one {α : Type*} [Ring α] [NoZeroDivisors α] {x : α} :
    IsBool x ↔ x * (x - 1) = 0

lemma path_has_transition {S : Type*} [DecidableEq S] (path : List S)
    (h_len : path.length ≥ 2) :
    ∃ (t : Transition S), t ∈ path.zip path.tail

@[circuit_norm] theorem ConstraintsHold.bind_soundness {f : Circuit F α} {g : α → Circuit F β} (n : ℕ) :
  ConstraintsHold.Soundness env ((f >>= g).operations n)
  ↔ ConstraintsHold.Soundness env (f.operations n) ∧
    ConstraintsHold.Soundness env ((g (f.output n)).operations (n + f.localLength n))

lemma and_mul_two_pow_lt {n : ℕ} {x : ℕ} (hx : x < 2^n) (y : ℕ) : x &&& 2^n * y = 0

lemma completeness_zero {p : ℕ} [Fact p.Prime]
    (offset : ℕ) (env : Environment (F p)) (input_var : Var (fields 0) (F p))
    (input : fields 0 (F p))
    (_h_local_witnesses : env.UsesLocalWitnessesCompleteness offset ((main input_var).operations offset))
    (_h_env : input = eval env input_var)
    (_h_assumptions : Assumptions 0 input) :
    Circuit.ConstraintsHold.Completeness env ((main input_var).operations offset)

lemma dynamicWitness_length {op : FlatOperation F} {init : List F} :
    (op.dynamicWitness init).length = op.singleLocalLength

theorem soundness : Soundness (F p) elaborated Assumptions Spec

private lemma step_process_block (env : Environment (F p))
    (acc_var : Var ProcessBlocksState (F p)) (x_var : Var BlockInput (F p))
    (acc : ProcessBlocksState (F p)) (x : BlockInput (F p))
    (h_eval : eval env acc_var = acc ∧ eval env x_var = x)
    (h_x : x.block_exists = 1)
    (h_holds : Circuit.ConstraintsHold.Soundness env ((step acc_var x_var).operations (size ProcessBlocksState + size BlockInput)))
    (acc_normalized : acc.Normalized)
    (x_normalized : x.Normalized)
    (blocks_compressed_not_many : acc.toChunkState.blocks_compressed < 2^32 - 1) :
    (eval env ((step acc_var x_var).output (size ProcessBlocksState + size BlockInput))).toChunkState =
      processBlockWords acc.toChunkState (x.block_data.map (·.value)) ∧
    (eval env ((step acc_var x_var).output (size ProcessBlocksState + size BlockInput))).Normalized

lemma getElem_eval_toLimbs {F} [Field F] {env : Environment F} {x : U64 (Expression F)} {i : ℕ} (hi : i < 8) :
    Expression.eval env x.toLimbs[i] = (eval env x).toLimbs[i]

@[circuit_norm]
theorem bind_normalize {α β} (f : Circuit F α) (g : α → Circuit F β) : f.bind g = f >>= g

lemma foldlAcc_zero [NeZero m] : foldlAcc n xs circuit init 0 = init

lemma fieldFromBits_succ (n : ℕ) (bits : Vector (F p) (n + 1)) :
    fieldFromBits bits = fieldFromBits bits.pop + bits[n] * (2^n : F p)

omit p_large_enough in
omit [Fact (Nat.Prime p)] in
@[circuit_norm]
lemma normalized_componentwise' (a b c d : field (F p)):
    (U32.mk a b c d).Normalized ↔
    (a.val < 256 ∧ b.val < 256 ∧ c.val < 256 ∧ d.val < 256)

lemma sum_countTransitionInPath_snd (cycle : List S) (x : S) :
    ∑ y : S, (countTransitionInPath (y, x) cycle : ℤ) = (countAsSecond cycle x : ℤ)

lemma cycle_netFlow_zero (cycle : List S) (x : S)
    (h_cycle : cycle.head? = cycle.getLast?) :
    Run.netFlow (fun t => countTransitionInPath t cycle) x = 0

theorem soundness : Soundness (F p) elaborated Assumptions Spec

theorem test_multiple_no_projection {F : Type} [Field F]
    (a : TestInputs F) (b : TestInputs F) (c : TestInputs F)
    (ha : a = ⟨1, 2, 3⟩) (hb : b = ⟨4, 5, 6⟩) (hc : c = ⟨7, 8, 9⟩) :
    a = ⟨1, 2, 3⟩ ∧ b = ⟨4, 5, 6⟩ ∧ c = ⟨7, 8, 9⟩

lemma containsPath_drop_take (R : Run S) (path : List S) (n m : ℕ)
    (h_contains : R.containsPath path) :
    R.containsPath ((path.drop n).take m)

@[circuit_norm ↓]
lemma map.soundness :
  ConstraintsHold.Soundness env (map xs body constant |>.operations n) ↔
    ∀ i : Fin m, ConstraintsHold.Soundness env (body xs[i.val] |>.operations (n + i*(body default).localLength))

lemma fromByte_value {x : Fin 256} : (fromByte x).value (p:=p) = x

theorem completeness [DecidableEq F] : Completeness F (elaborated (F:=F) (M:=M)) Assumptions

theorem completeness {p : ℕ} [Fact p.Prime] (n : ℕ) :
    ∀ (offset : ℕ) (env : Environment (F p)) (input_var : Var (fields n) (F p))
      (input : fields n (F p)),
    env.UsesLocalWitnessesCompleteness offset ((main input_var).operations offset) →
    input = eval env input_var →
    Assumptions n input →
    Circuit.ConstraintsHold.Completeness env ((main input_var).operations offset)

lemma ApplyRounds.circuit_assumptions_is :
  ApplyRounds.circuit.Assumptions (F := F p) = ApplyRounds.Assumptions

theorem and_eq_val_and {a b : F p} (ha : IsBool a) (hb : IsBool b) :
    (a * b).val = a.val &&& b.val

theorem output_eq : (xs.forM circuit).output n = ()

theorem completeness : Completeness (F p) elaborated Assumptions

@[circuit_norm ↓]
lemma mapFinRange.usesLocalWitnesses :
  env.UsesLocalWitnessesCompleteness n (mapFinRange m body constant |>.operations n) ↔
    ∀ i : Fin m, env.UsesLocalWitnessesCompleteness (n + i*(body 0).localLength) (body i |>.operations (n + i*(body 0).localLength))

theorem MemoryAccessList.isConsistentSingleAddress_filterAddress_forall_of_cons
    (head : MemoryAccess) (tail : MemoryAccessList)
    (h_sorted : isAddressTimestampSorted (head :: tail))
    (h_nodup : Notimestampdup (head :: tail))
    (h : ∀ addr, isConsistentSingleAddress (filterAddress (head :: tail) addr)
         (filterAddress_sorted_from_addressTimestampSorted (head :: tail) h_sorted h_nodup addr)) :
    ∀ addr, isConsistentSingleAddress (filterAddress tail addr)
      (filterAddress_sorted_from_addressTimestampSorted tail
        (isAddressTimestampSorted_of_cons head tail h_sorted)
        (noTimestampDup_of_cons head tail h_nodup) addr)

Nat.min_add_right_self in Init.Data.Nat.Lemmas

@[circuit_norm]
lemma FormalCircuit.weakenSpec_assumptions {F Input Output} [Field F] [ProvableType Input] [ProvableType Output]
    (c : FormalCircuit F Input Output) (WeakerSpec : Input F → Output F → Prop) h_spec_implication :
    (c.weakenSpec WeakerSpec h_spec_implication).Assumptions = c.Assumptions

lemma applyRounds_eq_applySevenRounds
    (chaining_value : Vector ℕ 8)
    (block_words : Vector ℕ 16)
    (counter : ℕ)
    (block_len : ℕ)
    (flags : ℕ) :
    applyRounds chaining_value block_words counter block_len flags =
    applySevenRounds
      (#v[
        chaining_value[0], chaining_value[1], chaining_value[2], chaining_value[3],
        chaining_value[4], chaining_value[5], chaining_value[6], chaining_value[7],
        iv[0].toNat, iv[1].toNat, iv[2].toNat, iv[3].toNat,
        counter % 2^32, counter / 2^32, block_len, flags
      ])
      block_words

theorem test_decompose_multiple_hypotheses {F : Type} [Field F] (a : TestInputs F) (b : TestInputs F)
    (h1 : a.x = b.y) (h2 : b.z = 10) : a.x = a.x

theorem rotate_rotate {α : Type} {n : ℕ} (v : Vector α n) (off1 off2 : ℕ) :
    v.rotate (off1 + off2) = (v.rotate off1).rotate off2

theorem val_of_IsBool {p : ℕ} [Fact p.Prime] {x : F p} (h : IsBool x) : IsBool x.val

theorem soundness {p : ℕ} [Fact p.Prime] (n : ℕ) :
    ∀ (offset : ℕ) (env : Environment (F p)) (input_var : Var (fields n) (F p))
      (input : fields n (F p)),
    input = eval env input_var →
    Assumptions n input →
    Circuit.ConstraintsHold.Soundness env ((main input_var).operations offset) →
    Spec n input (env ((main input_var).output offset))

lemma eval_vector_eq_get {M : TypeMap} [NonEmptyProvableType M] {n : ℕ} (env : Environment F)
    (vars : Vector (Var M F) n)
    (vals : Vector (M F) n)
    (h : (eval env vars : ProvableVector _ _ _) = (vals : ProvableVector _ _ _))
    (i : ℕ) (h_i : i < n) :
    eval env vars[i] = vals[i]

theorem soundness : Soundness (F p) elaborated Assumptions Spec

theorem soundness : Soundness (F p) elaborated Assumptions Spec

@[circuit_norm ↓]
lemma foldl.output_eq [NeZero m] :
  (foldl xs init body const_out constant).output n =
    (body default (xs[m-1]'(Nat.pred_lt (NeZero.ne m)))).output (n + (m-1)*(body default default).localLength)

theorem not_lt (n : ℕ) {x : ℕ} (hx : x < n) : n - 1 - (x : ℤ) < n

theorem localWitnesses_cons (op : Operation F) (ops : Operations F) (env : Environment F) :
  localWitnesses env (op :: ops) =
    (op.localWitnesses env ++ ops.localWitnesses env).cast (localLength_cons.symm)

theorem test_struct_variable_eq_literal {F : Type} [Field F] (input : TestInputs F)
    (h : input = TestInputs.mk 1 2 3) :
    input.x = 1

theorem funext_heq {α α' β : Type} (h : α = α') {f : α → β} {g : α' → β} :
    (∀ x : α, f x = g (cast h x)) → HEq f g

lemma Vector.forM_toList (xs : Vector α n) {m : Type → Type} [Monad m] (body : α → m Unit) :
    xs.forM body = forM xs.toList body

lemma forAll_append {condition : Condition F} {ops ops' : List (FlatOperation F)} (n : ℕ) :
  forAll n condition (ops ++ ops') ↔
    forAll n condition ops ∧ forAll (localLength ops + n) condition ops'

theorem rotRight32_composition (x n m : ℕ) (h : x < 2^32) :
    rotRight32 (rotRight32 x n) m = rotRight32 x (n + m)

@[circuit_norm]
theorem GeneralFormalCircuit.toSubcircuit_localLength
    {F : Type} [Field F] {Input Output : TypeMap} [ProvableType Input] [ProvableType Output]
    (circuit : GeneralFormalCircuit F Input Output) (n : ℕ) (input_var : Var Input F) :
    (circuit.toSubcircuit n input_var).localLength = circuit.localLength input_var

@[circuit_norm ↓]
lemma mapFinRange.completeness :
  ConstraintsHold.Completeness env (mapFinRange m body constant |>.operations n) ↔
    ∀ i : Fin m, ConstraintsHold.Completeness env (body i |>.operations (n + i*(body 0).localLength))

theorem soundness : Soundness (F p) elaborated Assumptions Spec

lemma eval_vector_takeShort {M : TypeMap} [NonEmptyProvableType M] {n : ℕ} (env : Environment F)
    (vars : Var (ProvableVector M n) F) (i : ℕ) (h_i : i < n) :
    (eval env (vars.takeShort i h_i) : ProvableVector _ _ _) = (eval env vars).takeShort i h_i

lemma sum_nat_cast_zero_of_not_pos {α : Type*} [Fintype α] (f : α → ℕ)
    (h : ∀ x, ¬(f x > 0)) :
    ∑ x : α, (f x : ℤ) = 0

theorem fromLimbs_toLimbs {F} (x : U64 F) :
    U64.fromLimbs x.toLimbs = x

@[ext]
lemma ext {x y : U32 (F p)}
    (h0 : x.x0 = y.x0)
    (h1 : x.x1 = y.x1)
    (h2 : x.x2 = y.x2)
    (h3 : x.x3 = y.x3)
    : x = y

theorem mapFinRangeM_forAll_iff {circuit : Fin m → Circuit F β} [constant : ConstantLength circuit] :
  (Vector.mapFinRangeM m circuit).forAll n prop ↔
    ∀ i : Fin m, (circuit i).forAll (n + i*constant.localLength) prop

lemma getLast_drop_take {α : Type*} (path : List α) (n k : ℕ)
    (h_n_lt : n < path.length)
    (h_bound : n + k ≤ path.length)
    (h_k_pos : k > 0) :
    ((path.drop n).take k).getLast? = path[n + k - 1]?

lemma assertion_localLength_eq (circuit : FormalAssertion F β) (input : Var β F) (offset : ℕ) :
  (circuit.toSubcircuit offset input).localLength = circuit.localLength input

lemma sum_countTransitionInPath_fst (cycle : List S) (x : S) :
    ∑ y : S, (countTransitionInPath (x, y) cycle : ℤ) = (countAsFirst cycle x : ℤ)

theorem MemoryAccessList.filterAddress_empty_when_address_changes
    (head : MemoryAccess) (second : MemoryAccess) (tail : MemoryAccessList)
    (h_sorted : isAddressTimestampSorted (head :: second :: tail))
    (h_addr_ne : head.2.1 ≠ second.2.1) :
    filterAddress (second :: tail) head.2.1 = []

theorem soundness : Soundness (F p) elaborated Assumptions Spec

lemma drop_take_cycle_same_endpoints (path : List S) (x : S) (n m : Fin path.length)
    (h_n_lt_m : n < m)
    (h_x_at_n : path[n] = x)
    (h_x_at_m : path[m] = x) :
    ((path.drop n.val).take (m.val - n.val + 1)).head? =
    ((path.drop n.val).take (m.val - n.val + 1)).getLast?

lemma toBits_fromBits_aux {n : ℕ} (bits : Vector ℕ n)
  (h_bits : ∀ (i : ℕ) (hi : i < n), bits[i] = 0 ∨ bits[i] = 1) :
    (fromBits bits) < 2^n ∧ toBits n (fromBits bits) = bits

theorem completeness (offset : Fin 8) : Completeness (F p) (elaborated offset) Assumptions

lemma eval_vector_take {M : TypeMap} [NonEmptyProvableType M] {n : ℕ} (env : Environment F)
    (vars : Var (ProvableVector M n) F) (i : ℕ) :
    (eval env (vars.take i) : ProvableVector _ _ _) = (eval env vars).take i

lemma rotRight32_bytes_u32_eq (o : ℕ) (x : U32 ℕ) :
  rotRight32_bytes x.toLimbs o = (rotRight32_u32 x o).toLimbs

@[circuit_norm ↓]
lemma foldlRange.output_eq :
  (foldlRange m init body constant).output n =
    Fin.foldl m (fun acc i => (body acc i).output (n + i*(body default i).localLength)) init

lemma fromElements_eq_iff {M : TypeMap} [ProvableType M] {F : Type} {A : Vector F (size M)} {B : M F} :
    fromElements A = B ↔ A = toElements B

theorem inductPush_push {motive : {n : ℕ} → Vector α n → Sort u}
  {nil : motive #v[]}
  {push : ∀ {n : ℕ} (as : Vector α n) (a : α), motive as → motive (as.push a)}
  {n : ℕ} (as : Vector α n) (a : α) :
    inductPush nil push (as.push a) = push as a (inductPush nil push as)

theorem mul_nat_val_eq_iff {x : F p} (c : ℕ) (c_pos : c > 0) (c_lt : c < p) {z : ℕ} :
    (c * x).val = c * z ↔ (x.val = z ∧ c * x.val < p)

lemma rotRight32_fin (x : ℕ) (offset : Fin 32) :
    rotRight32 x offset.val = x % (2^offset.val) * (2^(32-offset.val)) + x / (2^offset.val)

theorem byte_sum_do_not_wrap (x y : F p) [Fact (p > 512)]:
    x.val < 256 -> y.val < 256 -> (x + y).val = x.val + y.val

theorem output_eq :
  (xs.foldlM circuit init).output n =
    Fin.foldl m (fun acc i => (circuit acc xs[i.val]).output (n + i * constant.localLength)) init

theorem usesLocalWitnesses_iff_forAll (n : ℕ) {env : Environment F} {ops : Operations F} :
  env.UsesLocalWitnesses n ops ↔ ops.forAll n {
    witness n _ c := env.ExtendsVector (c env) n,
    subcircuit n _ s := FlatOperation.forAll n { witness n _ c := env.ExtendsVector (c env) n} s.ops
  }

theorem rotRight64_toBits (x r : ℕ) (h : x < 2^64):
    toBits 64 (rotRight64 x r) = (toBits 64 x).rotate r

@[circuit_norm]
theorem FormalCircuit.toSubcircuit_completeness
    {F : Type} [Field F] {Input Output : TypeMap} [ProvableType Input] [ProvableType Output]
    (circuit : FormalCircuit F Input Output) (n : ℕ) (input_var : Var Input F) (env : Environment F) :
    (circuit.toSubcircuit n input_var).Completeness env =
    circuit.Assumptions (eval env input_var)

theorem one_land_of_IsBool (a : ℕ) (h : IsBool a) : 1 &&& a = a

@[circuit_norm ↓]
lemma map.forAll :
  Operations.forAll n prop (map xs body constant |>.operations n) ↔
    ∀ i : Fin m, (body xs[i.val] |>.forAll (n + i*(body default).localLength) prop)

@[ext]
lemma State.ext {F : Type} {s1 s2 : State F} (h1 : s1.pc = s2.pc) (h2 : s1.ap = s2.ap) (h3 : s1.fp = s2.fp) : s1 = s2

theorem nor_is_bool {α : Type*} [Ring α] {x y : α} (hx : IsBool x) (hy : IsBool y) :
    IsBool (x * y + 1 - x - y)

omit p_large_enough in
@[circuit_norm]
lemma eval_of_literal (env : Environment (F p)) (a b c d : Var field (F p)) :
    eval env (U32.mk a b c d) =
    U32.mk (eval env a) (eval env b) (eval env c) (eval env d)

theorem completeness : Completeness (F p) elaborated Assumptions

lemma sum_decrease {α : Type*} [Fintype α] [DecidableEq α] (f g : α → ℕ) (a : α)
    (h_a_decrease : g a < f a)
    (h_others_le : ∀ x, g x ≤ f x) :
    ∑ x : α, g x < ∑ x : α, f x

omit p_large_enough in
lemma zify_bool {b : (F p)} (b_bool : IsBool b) : (↑(b.val) : ℤ) = 0 ∨ (↑(b.val) : ℤ) = 1

lemma value_of_decomposedNat_of_small (x : ℕ) :
    x < 256^4 ->
    (decomposeNat (p:=p) x).value = x

theorem and_times_two_add_xor {x y : ℕ} (hx : x < 256) (hy : y < 256) : 2 * (x &&& y) + (x ^^^ y) = x + y
</all_available_lemmas>

<local_ctx>
import Clean.Utils.Field

import Clean.Utils.Bitwise

import Clean.Utils.Rotation

import Clean.Types.U32

import Clean.Gadgets.ByteDecomposition.ByteDecomposition

variable {p : ℕ} [Fact p.Prime]

variable [p_large_enough: Fact (p > 2^16 + 2^8)]

namespace Gadgets.Rotation32.Theorems

open Gadgets.ByteDecomposition.Theorems (byteDecomposition_lift)

open Utils.Rotation

def rotRight32_u32 : U32 ℕ → ℕ → U32 ℕ
  | ⟨ x0, x1, x2, x3 ⟩, o => ⟨
    (x0 / 2^o) + (x1 % 2^o) * 2^(8-o),
    (x1 / 2^o) + (x2 % 2^o) * 2^(8-o),
    (x2 / 2^o) + (x3 % 2^o) * 2^(8-o),
    (x3 / 2^o) + (x0 % 2^o) * 2^(8-o),
  ⟩
</local_ctx>

<target_theorem>
theorem rotation32_bits_soundness {o : ℕ} (ho : o < 8) {x : U32 ℕ} :
    (rotRight32_u32 x o).valueNat = rotRight32 x.valueNat o :=
</target_theorem>

