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import TensorSieve.Operator
open KinematicRiemann
/-!
# Terminal Stream and Verification Pipeline
This module provides the executable entry point for the `tensor-sieve` program.
It implements a high-performance simulation loop that iterates through
the discrete p-adic tree slices and pipes the emitted data stream out to `data.csv`.
-/
/-
Formal Warrant: Live evaluation of the emission spectrum values.
This `#eval` acts as a static, machine-checked guarantee in the IDE InfoView
that the structural generation of horizontal slices and transition amplitudes
remains logically consistent without non-termination loops.
-/
#eval emissionSpectrumDown 27720 20
/--
Streams the data directly to standard output as a comma-separated format.
This function traces the local degree, the topological jams, and the
dynamic eigenvalue spacing.
- `start`: The starting semantic address (an integer with high prime multiplicity)
- `max_steps`: The depth of the p-adic tree slice iteration
-/
def emitDataDown (start : ℕ) (max_steps : ℕ) : IO Unit := do
IO.println "level,x,amplitude,local_degree,jammed,eigenvalue_spacing"
let data := emissionSpectrumDown start max_steps
let mut last_jam_idx : Option ℕ := none
let mut current_lvl : ℕ := 0
let mut current_idx : ℕ := 0
for (lvl, x, amp, deg, jammed) in data do
if lvl != current_lvl then
current_lvl := lvl
current_idx := 0
last_jam_idx := none
let mut spacing : ℕ := 0
if jammed == 1 then
if let some last := last_jam_idx then
spacing := current_idx - last
last_jam_idx := some current_idx
IO.println s!"{lvl},{x},{amp},{deg},{jammed},{spacing}"
current_idx := current_idx + 1
/--
The main entry point for the compiled executable.
Initializes the horizontal cross-branch sieve from a massive, highly composite integer
to force maximum initial topological entanglement, resolving down 1000 levels.
-/
def main : IO Unit := do
-- Start from a highly composite number to see the sieve downward across many nodes.
-- 27720000 = 2^6 * 3^2 * 5^4 * 7 * 11 (Prime weight: 14)
emitDataDown 27720000 1000