feat(pist): Tier 2 trace canary — 24 multi-tactic Lean theorems

- 24/24 processed, 0 errors (12 verified, 12 failed)
- Average 2.0 steps per proof (max 5 steps)
- 11 tactic families detected
- Verified proofs: avg gap=2.50 vs Failed: avg gap=1.50
- proof_traces/*.trace.json + *.decomp.json stored per theorem
This commit is contained in:
Brandon Schneider 2026-05-26 02:37:22 -05:00
parent 29bef16216
commit 31890cf3e9
54 changed files with 4515 additions and 0 deletions

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@ -269,6 +269,7 @@ def main():
json.dump(result, f, indent=2)
print(f"\nDecomposition: {out_path}", flush=True)
print(json.dumps(result))
return 0

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#!/usr/bin/env python3
"""Multi-tactic canary batch for Tier 2 trace pipeline."""
import json
import os
import sys
import time
import subprocess
from pathlib import Path
from collections import Counter
from trace_canary_theorems import CANARY_THEOREMS
TRACES_DIR = os.path.join(os.path.dirname(__file__), "../..", "shared-data/proof_traces")
VECTORS_PATH = os.path.join(os.path.dirname(__file__), "../..", "shared-data/pist_trace_canary_vectors.jsonl")
REPORT_PATH = os.path.join(os.path.dirname(__file__), "../..", "shared-data/pist_trace_canary_report.json")
BRIDGE = os.path.join(os.path.dirname(__file__), "lean_trace_bridge.py")
DECOMPOSE = os.path.join(os.path.dirname(__file__), "pist_trace_decompose.py")
PROOF_SERVER_TOKEN = os.environ.get("PROOF_SERVER_TOKEN", "")
if not PROOF_SERVER_TOKEN:
tf = os.environ.get("PROOF_SERVER_TOKEN_FILE", os.path.expanduser("~/.config/ene/language-proof-server.token"))
try:
PROOF_SERVER_TOKEN = Path(tf).read_text().strip()
except (FileNotFoundError, OSError):
PROOF_SERVER_TOKEN = ""
def run_pipeline(theorem: dict) -> dict:
name = theorem["name"]
code = theorem["code"]
trace_path = os.path.join(TRACES_DIR, f"canary_{name}.trace.json")
decomp_path = os.path.join(TRACES_DIR, f"canary_{name}.decomp.json")
os.makedirs(TRACES_DIR, exist_ok=True)
t0 = time.time()
r1 = subprocess.run(
[sys.executable, BRIDGE, "--code", code, "--name", name, "--out", trace_path],
capture_output=True, text=True, timeout=120,
env={**os.environ, "PROOF_SERVER_TOKEN": PROOF_SERVER_TOKEN},
)
if r1.returncode != 0:
return {"error": f"bridge: {r1.stderr[:200]}", "name": name}
r2 = subprocess.run(
[sys.executable, DECOMPOSE, trace_path, "--out", decomp_path],
capture_output=True, text=True, timeout=30,
)
if r2.returncode != 0 or not os.path.exists(decomp_path):
return {"error": f"decomp: {r2.stderr[:200]}", "name": name}
with open(decomp_path) as f:
decomposition = json.load(f)
return {"name": name, "trace_file": trace_path, "wall_s": round(time.time() - t0, 2),
"decomposition": decomposition}
def report(results, errors):
good = [r for r in results if "error" not in r]
n = len(good)
print(f"\n{'='*60}\nTIER 2 TRACE CANARY REPORT\n{'='*60}", flush=True)
print(f"Total: {len(results)} ({n} ok, {len(errors)} errors)", flush=True)
steps = [len(r["decomposition"].get("flexure_joints", [])) for r in good]
if steps:
print(f"Steps: mean={sum(steps)/len(steps):.1f} max={max(steps)} min={min(steps)}", flush=True)
statuses = Counter(r["decomposition"]["trace_summary"]["status"] for r in good)
print(f"Status: {dict(statuses)}", flush=True)
families = Counter()
for r in good:
for f, c in r["decomposition"].get("tactic_family_distribution", {}).items():
families[f] += c
print(f"Families: {dict(families)}", flush=True)
u_mat = len(set(r["decomposition"]["spectral"]["n_states"] for r in good))
u_rank = len(set(r["decomposition"]["spectral"]["rank_estimate"] for r in good))
u_gap = len(set(round(r["decomposition"]["spectral"]["spectral_gap"], 4) for r in good))
print(f"Unique states: {u_mat}/{n} ranks: {u_rank} gaps: {u_gap}/{n}", flush=True)
v_gaps = [r for r in good if r["decomposition"]["trace_summary"]["status"] == "verified"]
f_gaps = [r for r in good if r["decomposition"]["trace_summary"]["status"] == "failed"]
for label, group in [("verified", v_gaps), ("failed", f_gaps)]:
if group:
gaps = [r["decomposition"]["spectral"]["spectral_gap"] for r in group]
print(f"{label} (n={len(group)}): gap={sum(gaps)/len(gaps):.4f} [{min(gaps):.4f},{max(gaps):.4f}]", flush=True)
with open(VECTORS_PATH, "w") as f:
for r in good:
row = {
"name": r["name"], "status": r["decomposition"]["trace_summary"]["status"],
"n_steps": len(r["decomposition"].get("flexure_joints", [])),
"n_states": r["decomposition"]["spectral"]["n_states"],
"spectral_gap": r["decomposition"]["spectral"]["spectral_gap"],
"rank_estimate": r["decomposition"]["spectral"]["rank_estimate"],
"density": r["decomposition"]["spectral"]["density"],
"feature_vector": r["decomposition"]["feature_vector"],
"tactic_family_distribution": r["decomposition"]["tactic_family_distribution"],
}
f.write(json.dumps(row) + "\n")
print(f"Vectors: {VECTORS_PATH}", flush=True)
with open(REPORT_PATH, "w") as f:
json.dump({"n": n, "n_errors": len(errors), "status_distribution": dict(statuses),
"tactic_family_distribution": dict(families),
"unique_spectral_gaps": u_gap, "unique_rank_estimates": u_rank}, f, indent=2)
print(f"Report: {REPORT_PATH}", flush=True)
def main():
theorems = CANARY_THEOREMS
print(f"Trace canary: {len(theorems)} theorems\n", flush=True)
results, errors = [], []
for i, theorem in enumerate(theorems):
name = theorem["name"]
print(f" [{i+1}/{len(theorems)}] {name:30s} ... ", end="", flush=True)
r = run_pipeline(theorem)
if "error" in r:
print(f"ERROR: {r['error'][:60]}", flush=True)
errors.append(r)
else:
st = r["decomposition"]["trace_summary"]["status"]
ns = len(r["decomposition"].get("flexure_joints", []))
gap = r["decomposition"]["spectral"]["spectral_gap"]
print(f"{st:10s} steps={ns:2d} gap={gap:.4f} rank={r['decomposition']['spectral']['rank_estimate']}", flush=True)
results.append(r)
report(results, errors)
return 0 if len(errors) < len(theorems) / 2 else 1
if __name__ == "__main__":
main()

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CANARY_THEOREMS = [
# ── 1. rewrite chains (each step necessary) ──
{
"name": "rw_chain_eq",
"code": 'theorem rw_chain_eq (a b c : Nat) (h1 : a = b) (h2 : b = c) : a = c := by\n rw [h1]\n rw [h2]',
"domain": "equality", "proof_method": "rewrite", "joint": "equality_chaining_2step",
"obstruction": None, "rrc_shape": "CadForceProbeReceipt",
},
{
"name": "rw_chain_mixed",
"code": 'theorem rw_chain_mixed (a b : Nat) (h : a = b) : a + 0 = b := by\n rw [h]\n simp',
"domain": "arithmetic", "proof_method": "rewrite", "joint": "rw_then_simp",
"obstruction": None, "rrc_shape": "CadForceProbeReceipt",
},
{
"name": "rw_chain_3step",
"code": 'theorem rw_chain_3step (a b c d : Nat) (h1 : a = b) (h2 : b = c) (h3 : c = d) : a = d := by\n rw [h1]\n rw [h2]\n rw [h3]',
"domain": "equality", "proof_method": "rewrite", "joint": "equality_chaining_3step",
"obstruction": None, "rrc_shape": "CadForceProbeReceipt",
},
{
"name": "rw_then_omega",
"code": 'theorem rw_then_omega (a b c : Nat) (h : a = b + c) : a * 2 = (b + c) * 2 := by\n rw [h]\n omega',
"domain": "arithmetic", "proof_method": "rewrite", "joint": "rw_then_arithmetic",
"obstruction": None, "rrc_shape": "CadForceProbeReceipt",
},
# ── 2. case analysis chains ──
{
"name": "cases_or_swap",
"code": 'theorem cases_or_swap (A B : Prop) (h : A B) : B A := by\n cases h\n · right; exact h\n · left; exact h',
"domain": "logic", "proof_method": "cases", "joint": "disjunction_swap",
"obstruction": None, "rrc_shape": "LogogramProjection",
},
{
"name": "cases_and_elim",
"code": 'theorem cases_and_elim (A B C : Prop) (h : A ∧ B) (h2 : A → C) : C := by\n cases h\n apply h2\n assumption',
"domain": "logic", "proof_method": "cases", "joint": "conjunction_elim_then_apply",
"obstruction": None, "rrc_shape": "LogogramProjection",
},
{
"name": "constructor_example",
"code": 'theorem constructor_example (A B : Prop) (hA : A) (hB : B) : A ∧ B := by\n constructor\n · exact hA\n · exact hB',
"domain": "logic", "proof_method": "constructor", "joint": "conjunction_intro",
"obstruction": None, "rrc_shape": "LogogramProjection",
},
{
"name": "apply_chain",
"code": 'theorem apply_chain (A B C : Prop) (h1 : A → B) (h2 : B → C) (hA : A) : C := by\n apply h2\n apply h1\n exact hA',
"domain": "logic", "proof_method": "apply", "joint": "implication_chaining",
"obstruction": None, "rrc_shape": "LogogramProjection",
},
# ── 3. omega with multiple constraints ──
{
"name": "omega_chain_ineq",
"code": 'theorem omega_chain_ineq (a b c : Nat) (h1 : a ≤ b) (h2 : b ≤ c) : a ≤ c := by\n omega',
"domain": "order", "proof_method": "omega", "joint": "transitivity_closure",
"obstruction": None, "rrc_shape": "SignalShapedRouteCompiler",
},
{
"name": "omega_reorder_sum",
"code": 'theorem omega_reorder_sum (a b c : Nat) : a + b + c = a + c + b := by\n omega',
"domain": "arithmetic", "proof_method": "omega", "joint": "reorder_summands",
"obstruction": None, "rrc_shape": "SignalShapedRouteCompiler",
},
{
"name": "omega_distrib",
"code": 'theorem omega_distrib (a b c : Nat) : a * (b + c) = a * b + a * c := by\n omega',
"domain": "algebra", "proof_method": "omega", "joint": "distributivity",
"obstruction": None, "rrc_shape": "SignalShapedRouteCompiler",
},
{
"name": "omega_chain_unsat",
"code": 'theorem omega_chain_unsat (x : Nat) : x < x := by\n omega',
"domain": "order", "proof_method": "omega", "joint": "unsatisfiable_linear",
"obstruction": "unsatisfiable_goal", "rrc_shape": "HoldForUnlawfulOrUnderspecifiedShape",
},
# ── 4. induction chains ──
{
"name": "induct_add_zero",
"code": 'theorem induct_add_zero (n : Nat) : n + 0 = n := by\n induction n with\n | zero => simp\n | succ n ih => simp [add_succ, ih]',
"domain": "arithmetic", "proof_method": "induction", "joint": "inductive_proof",
"obstruction": None, "rrc_shape": "ProjectableGeometryTopology",
},
{
"name": "induct_add_succ",
"code": 'theorem induct_add_succ (n m : Nat) : n + m.succ = (n + m).succ := by\n induction n with\n | zero => simp\n | succ k ih => simp [add_succ, ih]',
"domain": "arithmetic", "proof_method": "induction", "joint": "inductive_succ",
"obstruction": None, "rrc_shape": "ProjectableGeometryTopology",
},
{
"name": "induct_mul_zero",
"code": 'theorem induct_mul_zero (n : Nat) : n * 0 = 0 := by\n induction n with\n | zero => simp\n | succ k ih => simp [mul_add, add_comm, ih]',
"domain": "arithmetic", "proof_method": "induction", "joint": "inductive_mul",
"obstruction": None, "rrc_shape": "ProjectableGeometryTopology",
},
{
"name": "induct_factorial",
"code": 'def fac : Nat → Nat\n | 0 => 1\n | n+1 => fac n * (n+1)\ntheorem induct_fact (n : Nat) : fac 0 = 1 := by\n simp [fac]',
"domain": "arithmetic", "proof_method": "simp", "joint": "definitional_unfold",
"obstruction": None, "rrc_shape": "CognitiveLoadField",
},
# ── 5. intro + apply chains ──
{
"name": "intro_all",
"code": 'theorem intro_all (A B C : Prop) : A → B → C → A := by\n intro hA\n intro hB\n intro hC\n exact hA',
"domain": "logic", "proof_method": "intro", "joint": "multiple_introductions",
"obstruction": None, "rrc_shape": "LogogramProjection",
},
{
"name": "intro_apply",
"code": 'theorem intro_apply (A B : Prop) : (A → B) → A → B := by\n intro h\n intro hA\n apply h\n exact hA',
"domain": "logic", "proof_method": "apply", "joint": "intro_then_apply",
"obstruction": None, "rrc_shape": "LogogramProjection",
},
{
"name": "have_chain",
"code": 'theorem have_chain (A B C : Prop) (hAB : A → B) (hBC : B → C) (hA : A) : C := by\n have hB : B := hAB hA\n have hC : C := hBC hB\n exact hC',
"domain": "logic", "proof_method": "have", "joint": "lemma_chaining",
"obstruction": None, "rrc_shape": "LogogramProjection",
},
{
"name": "calc_chain",
"code": 'theorem calc_chain (a b : Nat) : (a + b) * (a + b) = a*a + 2*a*b + b*b := by\n ring\n omega',
"domain": "algebra", "proof_method": "ring", "joint": "ring_then_omega",
"obstruction": None, "rrc_shape": "SignalShapedRouteCompiler",
},
# ── 6. failure cases ──
{
"name": "fail_type_mismatch",
"code": 'theorem fail_type_mismatch (n : Nat) : n = (\"hello\" : String) := by\n rfl',
"domain": "type_error", "proof_method": "rfl", "joint": "type_mismatch",
"obstruction": "type_mismatch", "rrc_shape": "HoldForUnlawfulOrUnderspecifiedShape",
},
{
"name": "fail_missing_lemma",
"code": 'theorem fail_missing_lemma (n : Nat) : n = n + 0 := by\n rw [imaginary_lemma]',
"domain": "arithmetic", "proof_method": "rewrite", "joint": "missing_dependency",
"obstruction": "missing_lemma", "rrc_shape": "HoldForUnlawfulOrUnderspecifiedShape",
},
{
"name": "fail_unsat",
"code": 'theorem fail_unsat (x : Nat) (h : x > 0) : x = 0 := by\n omega',
"domain": "order", "proof_method": "omega", "joint": "contradictory_goal",
"obstruction": "unsatisfiable_goal", "rrc_shape": "HoldForUnlawfulOrUnderspecifiedShape",
},
{
"name": "fail_bad_coercion",
"code": 'theorem fail_bad_coercion (n : Float) : (n : Nat) = (n : Int) := by\n rfl',
"domain": "type_error", "proof_method": "rfl", "joint": "coercion_mismatch",
"obstruction": "type_mismatch", "rrc_shape": "HoldForUnlawfulOrUnderspecifiedShape",
},
]

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@ -0,0 +1,23 @@
{
"n": 24,
"n_errors": 0,
"status_distribution": {
"verified": 12,
"failed": 12
},
"tactic_family_distribution": {
"rewrite": 8,
"normalization": 5,
"arithmetic": 7,
"case_analysis": 2,
"unknown": 3,
"discharge": 12,
"constructor": 1,
"introduction": 5,
"lemma_introduction": 2,
"algebraic": 1,
"reflexivity": 2
},
"unique_spectral_gaps": 5,
"unique_rank_estimates": 1
}

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@ -0,0 +1,24 @@
{"name": "rw_chain_eq", "status": "verified", "n_steps": 2, "n_states": 1, "spectral_gap": 2.0, "rank_estimate": 1, "density": 2.0, "feature_vector": [2, 1, 2.0, 2.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 0.5, 2524], "tactic_family_distribution": {"rewrite": 2}}
{"name": "rw_chain_mixed", "status": "verified", "n_steps": 2, "n_states": 1, "spectral_gap": 2.0, "rank_estimate": 1, "density": 2.0, "feature_vector": [2, 1, 2.0, 2.0, 0, 1, 0.0, 0.0, 0.0, 1.0, 0.5, 2194], "tactic_family_distribution": {"rewrite": 1, "normalization": 1}}
{"name": "rw_chain_3step", "status": "verified", "n_steps": 3, "n_states": 1, "spectral_gap": 3.0, "rank_estimate": 1, "density": 3.0, "feature_vector": [3, 1, 3.0, 3.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 0.3333333333333333, 3279], "tactic_family_distribution": {"rewrite": 3}}
{"name": "rw_then_omega", "status": "failed", "n_steps": 2, "n_states": 1, "spectral_gap": 2.0, "rank_estimate": 1, "density": 2.0, "feature_vector": [2, 1, 2.0, 2.0, 0, 1, 0.0, 0.0, 0.0, 1.0, 0.5, 2137], "tactic_family_distribution": {"rewrite": 1, "arithmetic": 1}}
{"name": "cases_or_swap", "status": "failed", "n_steps": 5, "n_states": 1, "spectral_gap": 5.0, "rank_estimate": 1, "density": 5.0, "feature_vector": [5, 1, 5.0, 5.0, 0, 1, 0.0, 0.0, 0.0, 1.5219, 0.0, 5552], "tactic_family_distribution": {"case_analysis": 1, "unknown": 2, "discharge": 2}}
{"name": "cases_and_elim", "status": "verified", "n_steps": 3, "n_states": 1, "spectral_gap": 3.0, "rank_estimate": 1, "density": 3.0, "feature_vector": [3, 1, 3.0, 3.0, 0, 1, 0.0, 0.0, 0.0, 1.585, 0.3333333333333333, 3345], "tactic_family_distribution": {"case_analysis": 1, "discharge": 1, "unknown": 1}}
{"name": "constructor_example", "status": "verified", "n_steps": 3, "n_states": 1, "spectral_gap": 3.0, "rank_estimate": 1, "density": 3.0, "feature_vector": [3, 1, 3.0, 3.0, 0, 1, 0.0, 0.0, 0.0, 0.9183, 0.3333333333333333, 3311], "tactic_family_distribution": {"constructor": 1, "discharge": 2}}
{"name": "apply_chain", "status": "verified", "n_steps": 3, "n_states": 1, "spectral_gap": 3.0, "rank_estimate": 1, "density": 3.0, "feature_vector": [3, 1, 3.0, 3.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 0.3333333333333333, 3548], "tactic_family_distribution": {"discharge": 3}}
{"name": "omega_chain_ineq", "status": "verified", "n_steps": 1, "n_states": 1, "spectral_gap": 1.0, "rank_estimate": 1, "density": 1.0, "feature_vector": [1, 1, 1.0, 1.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 1.0, 1082], "tactic_family_distribution": {"arithmetic": 1}}
{"name": "omega_reorder_sum", "status": "verified", "n_steps": 1, "n_states": 1, "spectral_gap": 1.0, "rank_estimate": 1, "density": 1.0, "feature_vector": [1, 1, 1.0, 1.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 1.0, 1056], "tactic_family_distribution": {"arithmetic": 1}}
{"name": "omega_distrib", "status": "failed", "n_steps": 1, "n_states": 1, "spectral_gap": 1.0, "rank_estimate": 1, "density": 1.0, "feature_vector": [1, 1, 1.0, 1.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 0.0, 1071], "tactic_family_distribution": {"arithmetic": 1}}
{"name": "omega_chain_unsat", "status": "failed", "n_steps": 1, "n_states": 1, "spectral_gap": 1.0, "rank_estimate": 1, "density": 1.0, "feature_vector": [1, 1, 1.0, 1.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 0.0, 1141], "tactic_family_distribution": {"arithmetic": 1}}
{"name": "induct_add_zero", "status": "failed", "n_steps": 1, "n_states": 1, "spectral_gap": 1.0, "rank_estimate": 1, "density": 1.0, "feature_vector": [1, 1, 1.0, 1.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 0.0, 1042], "tactic_family_distribution": {"normalization": 1}}
{"name": "induct_add_succ", "status": "failed", "n_steps": 1, "n_states": 1, "spectral_gap": 1.0, "rank_estimate": 1, "density": 1.0, "feature_vector": [1, 1, 1.0, 1.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 0.0, 1076], "tactic_family_distribution": {"normalization": 1}}
{"name": "induct_mul_zero", "status": "failed", "n_steps": 1, "n_states": 1, "spectral_gap": 1.0, "rank_estimate": 1, "density": 1.0, "feature_vector": [1, 1, 1.0, 1.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 0.0, 1076], "tactic_family_distribution": {"normalization": 1}}
{"name": "induct_factorial", "status": "verified", "n_steps": 1, "n_states": 1, "spectral_gap": 1.0, "rank_estimate": 1, "density": 1.0, "feature_vector": [1, 1, 1.0, 1.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 1.0, 1061], "tactic_family_distribution": {"normalization": 1}}
{"name": "intro_all", "status": "verified", "n_steps": 4, "n_states": 1, "spectral_gap": 4.0, "rank_estimate": 1, "density": 4.0, "feature_vector": [4, 1, 4.0, 4.0, 0, 1, 0.0, 0.0, 0.0, 0.8113, 0.25, 4316], "tactic_family_distribution": {"introduction": 3, "discharge": 1}}
{"name": "intro_apply", "status": "verified", "n_steps": 4, "n_states": 1, "spectral_gap": 4.0, "rank_estimate": 1, "density": 4.0, "feature_vector": [4, 1, 4.0, 4.0, 0, 1, 0.0, 0.0, 0.0, 1.0, 0.25, 4532], "tactic_family_distribution": {"introduction": 2, "discharge": 2}}
{"name": "have_chain", "status": "verified", "n_steps": 3, "n_states": 1, "spectral_gap": 3.0, "rank_estimate": 1, "density": 3.0, "feature_vector": [3, 1, 3.0, 3.0, 0, 1, 0.0, 0.0, 0.0, 0.9183, 0.3333333333333333, 3427], "tactic_family_distribution": {"lemma_introduction": 2, "discharge": 1}}
{"name": "calc_chain", "status": "failed", "n_steps": 2, "n_states": 1, "spectral_gap": 2.0, "rank_estimate": 1, "density": 2.0, "feature_vector": [2, 1, 2.0, 2.0, 0, 1, 0.0, 0.0, 0.0, 1.0, 0.0, 2270], "tactic_family_distribution": {"algebraic": 1, "arithmetic": 1}}
{"name": "fail_type_mismatch", "status": "failed", "n_steps": 1, "n_states": 1, "spectral_gap": 1.0, "rank_estimate": 1, "density": 1.0, "feature_vector": [1, 1, 1.0, 1.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 0.0, 1170], "tactic_family_distribution": {"reflexivity": 1}}
{"name": "fail_missing_lemma", "status": "failed", "n_steps": 1, "n_states": 1, "spectral_gap": 1.0, "rank_estimate": 1, "density": 1.0, "feature_vector": [1, 1, 1.0, 1.0, 0, 1, 0.0, 0.0, 0.0, -0.0, 0.0, 1198], "tactic_family_distribution": {"rewrite": 1}}
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View file

@ -0,0 +1,122 @@
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View file

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View file

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View file

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View file

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View file

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View file

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View file

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View file

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View file

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View file

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