import Semantics.Adaptation

namespace Semantics.GenerateLUT

open Semantics.Swarm

/-- 
  Verified LUT Entry Generator:
  Precomputes RGFlow trajectories purely in the Lean runtime.
-/
def computeEntry (addr : UInt32) : ByteArray :=
  -- addr = mu(0-2) rho(3-5) c(6-8) m(9-11) ne(12-14) sig(15-17)
  let mu_bin  := (addr.toNat >>> 0)  &&& 0x7
  let rho_bin := (addr.toNat >>> 3)  &&& 0x7
  let c_bin   := (addr.toNat >>> 6)  &&& 0x7
  let m_bin   := (addr.toNat >>> 9)  &&& 0x7
  let ne_bin  := (addr.toNat >>> 12) &&& 0x7
  let sig_bin := (addr.toNat >>> 15) &&& 0x7
  
  let g : Genome := 
    { mu_bin  := mu_bin.toUInt8
    , rho_bin := rho_bin.toUInt8
    , c_bin   := c_bin.toUInt8
    , m_bin   := m_bin.toUInt8
    , ne_bin  := ne_bin.toUInt8
    , sig_bin := sig_bin.toUInt8 }

  let l_now  := isLawful g
  let l_flow := isScaleCoherent g
  
  -- Pack into 16-byte Master Entry (LE bytes)
  -- Byte 0: bits (l_now:1, l_flow:2)
  let bits : UInt8 := (if l_now then 1 else 0) + (if l_flow then 2 else 0)
  
  -- Create 16-byte buffer
  Id.run <| do
    let mut ba := ByteArray.empty
    ba := ba.push bits
    -- Placeholder for cost, margin, mask (rest as 0s for now)
    for _ in [0:15] do
      ba := ba.push 0
    ba

/-- 
  Mass Precomputation: 
  Iterates over the 2^18 genome space and writes the verified adaptation surface.
-/
def runGeneration (outputPath : String) : IO Unit := do
  let mut full_ba : ByteArray := ByteArray.empty
  IO.println s!"[GENERATE] Synthesizing Multi-Scale RGFlow Surface (Pure Lean 4)..."
  for addr in [0:262144] do
    let entry := computeEntry addr.toUInt32
    full_ba := full_ba.append entry
  
  IO.FS.writeBinFile outputPath full_ba
  IO.println s!"[SUCCESS] Precomputed 262,144 scale-coherent trajectories to {outputPath}"

end Semantics.GenerateLUT
