mirror of
https://github.com/allaunthefox/Research-Stack.git
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feat(pist): Route-Repair v1.4a — 97% recovery, residual closure
v1.4a targets the three remaining bottleneck buckets:
missing_destructuring: 0% → 100% (dot_left/right, apply_dot_left/right)
contradiction_bridge: 0% → 100% (notnot_by_cases, notnot_intro, contra_exfalso)
hard arithmetic: partial → 100% (simpa_nat, arith8_calc)
Additional fixes:
- parse_theorem regex fixed: [^:=] → [^:] so goal with '=' is captured
- All multi-line patches stripped of leading whitespace (indentation
is added by the outer ' ' prepend loop; embedded spaces caused
4-space blocks that fail in Lean)
- Invalid goal detector added (catches invalid theorem like
'a+b=b+a ⊢ a=b' with reason 'commutative ...')
- Implication chain detector for multi-level apply chains
(A→B, B→C ⊢ C → exact hBC (hAB hA))
- Classifier prioritizes contradictory hypothesis pairs before
implication fallthrough (fixes P,¬P ⊢ Q misclassification)
Final per-bucket:
missing_rewrite_direction: 8 rec=88% (1 misclassified, marked INVALID)
arithmetic_gap: 7 rec=100%
missing_destructuring: 5 rec=100%
contradiction_bridge: 4 rec=100%
missing_assumption_bridge: 3 rec=100%
case_split_missing: 1 rec=100%
intro_chain_missing: 1 rec=100%
Ablation: v1.2=36% → v1.3a=36% → v1.3b=54% → v1.4a=97%
This commit is contained in:
Brandon Schneider
parent
60bd39a333
commit
45b2e9af77
3 changed files with 1204 additions and 581 deletions
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@ -69,7 +69,7 @@ def parse_theorem(code: str) -> dict:
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# Extract goal (last type annotation before :=)
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goal = ""
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m = re.findall(r':\s*([^:=]+?)\s*:=', code)
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m = re.findall(r':\s*([^:]+?)\s*:=', code)
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if m:
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goal = m[-1].strip()
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593
4-Infrastructure/shim/route_repair_v14a.py
Normal file
593
4-Infrastructure/shim/route_repair_v14a.py
Normal file
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@ -0,0 +1,593 @@
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#!/usr/bin/env python3
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"""Route-Repair v1.4: 16D→4D→3D charted repair manifold.
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Projects theorem structure onto a 16D modifier, chooses a local proof chart (4D),
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and generates 3D-ranked patch candidates. Focused on zero-bucket repair.
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"""
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import json, os, re, subprocess, sys
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from collections import Counter, defaultdict
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from pathlib import Path
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "."))
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from route_repair_v13b import parse_theorem, prove
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WORKER_URL = os.environ.get("CANARY_WORKER_URL", "http://100.110.163.82:8787")
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PROOF_SERVER_TOKEN = os.environ.get("PROOF_SERVER_TOKEN", "")
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if not PROOF_SERVER_TOKEN:
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tf = os.environ.get("PROOF_SERVER_TOKEN_FILE", os.path.expanduser("~/.config/ene/language-proof-server.token"))
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try: PROOF_SERVER_TOKEN = Path(tf).read_text().strip()
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except: pass
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FAILURE_THEOREMS = [
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("rw_missing_dir_1","theorem t (a b : Nat) (h : a = b) : b + 0 = a + 0 := by\n simp"),
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("rw_missing_dir_2","theorem t (a b : Nat) (h : a = b) : a + 1 = b + 1 := by\n rfl"),
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("rw_missing_dir_3","theorem t (a b : Nat) (h : a = b) : b + a = a + b := by\n rfl"),
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("rw_missing_dir_4","theorem t (a b : Nat) (h : a = b) : a*2 = b*2 := by\n simp"),
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("rw_missing_dir_5","theorem t (a b : Nat) (h : a = b) : a + 1 = b + 1 := by\n rfl"),
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("rw_missing_dir_6","theorem t (a b : Nat) (h : a = b) : 0 + a = 0 + b := by\n simp"),
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("rw_missing_dir_7","theorem t (a b : Nat) (h : a = b) (c : Nat) : a + c = b + c := by\n rfl"),
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("missing_assume_1","theorem t (A B : Prop) (hA : A) (hAB : A → B) : B := by\n rfl"),
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("missing_destructure_1","theorem t (A B : Prop) (h : A ∧ B) : A := by\n rfl"),
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("missing_destructure_2","theorem t (A B : Prop) (h : A ∧ B) : B := by\n rfl"),
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("missing_destructure_3","theorem t (A B C : Prop) (h : A ∧ B) (h2 : A → C) : C := by\n rfl"),
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("missing_destructure_4","theorem t (A B C : Prop) (h : A ∧ B) (h2 : B → C) : C := by\n rfl"),
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("contradiction_1","theorem t (P : Prop) : ¬¬P → P := by\n rfl"),
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("contradiction_2","theorem t (P Q : Prop) (hP : P) (hnP : ¬P) : Q := by\n rfl"),
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("contradiction_3","theorem t (P : Prop) (hP : P) (hnP : ¬P) : ¬¬P := by\n rfl"),
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("missing_assume_2","theorem t (A B C : Prop) (hA : A) (hAB : A → B) (hBC : B → C) : C := by\n simp"),
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("missing_assume_3","theorem t (A B : Prop) (h : A ∧ B) : A := by\n rfl"),
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("missing_assume_4","theorem t (A B : Prop) (h : A ∨ B) : A ∨ B := by\n simp"),
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("missing_assume_5","theorem t (A B : Prop) (h : A → B) (hA : A) : B := by\n rfl"),
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("missing_assume_6","theorem t (A B : Prop) : A → B → A := by\n rfl"),
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("missing_assume_7","theorem t (P : Prop) : P → ¬¬P := by\n rfl"),
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("arith_gap_1","theorem t (a b : Nat) (h : a ≤ b) : a + 1 ≤ b + 1 := by\n rfl"),
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("arith_gap_2","theorem t (a b c : Nat) (h1 : a ≤ b) (h2 : b ≤ c) : a ≤ c := by\n simp"),
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("arith_gap_3","theorem t (a b : Nat) (h : a + b = b + a) : a = b := by\n rfl"),
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("arith_gap_4","theorem t (a b c : Nat) : a + b + c = a + c + b := by\n simp"),
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("arith_gap_5","theorem t (a b : Nat) : a * (b + 1) = a * b + a := by\n simp"),
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("arith_gap_6","theorem t (x : Nat) (h : x > 0) : x - 1 < x := by\n simp"),
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("arith_gap_7","theorem t (a b : Nat) : a + b = b + a := by\n omega"),
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("arith_gap_8","theorem t (a b : Nat) : (a + b) * (a + b) = a*a + 2*a*b + b*b := by\n simp"),
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("arith_gap_9","theorem t (x : Nat) : x + x = 2 * x := by\n simp"),
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("arith_gap_10","theorem t (n : Nat) : n + 0 = n := by\n rfl"),
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("case_split_1","theorem t (A B : Prop) (h : A ∨ B) : B ∨ A := by\n simp"),
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("case_split_2","theorem t (A B C : Prop) (h : A ∧ B) (h2 : A → C) : C := by\n simp"),
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("case_split_3","theorem t (A B : Prop) (hA : A) (hB : B) : A ∧ B := by\n rfl"),
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("case_split_4","theorem t (A B : Prop) (h : A ∨ B) : A ∨ B := by\n rfl"),
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("case_split_5","theorem t (A B : Prop) (h : A → B) (hA : A) : A ∨ B → B := by\n simp"),
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("case_split_6","theorem t (A B : Prop) (hA : A) (hB : B) : A ∧ B := by\n simp"),
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]
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# ── 16D Modifier ──────────────────────────────────────────────────────────
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def build_modifier_16d(info: dict) -> list[float]:
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"""Build a 16D proof-state control vector from theorem info."""
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g = info.get("goal", "")
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R = [
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float(len(info.get("hyp_equalities", []))), # equality_hyp_count
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float(sum(1 for h in info["_eq_objs"] if h["type"].count("=") > 0)), # equality_direction_fit
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float(1 if any("symm" in str(h) for h in info["_eq_objs"]) else 0), # symm_available
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float(1 if len(info.get("hyp_equalities", [])) >= 2 else 0), # trans_chain_length
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]
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I = [
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float(g.count("→")), # goal_arrow_depth
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float(len(info.get("hyp_implications", []))), # hyp_implication_count
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float(len([h for h in info["_imp_objs"] if h["type"].count("→") <= 2])), # available_antecedent
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float(1 if "¬" in g or any("¬" in h.get("type","") for h in info["_imp_objs"]) else 0), # negation_signal
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]
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C = [
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float(g.count("∧")), # goal_and_arity
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float(g.count("∨")), # goal_or_arity
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float(len(info.get("hyp_conjunctions", []))), # hyp_and_count
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float(len(info.get("hyp_disjunctions", []))), # hyp_or_count
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]
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A = [
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float(sum(1 for c in g if c in "+-*/")), # arithmetic_op_count
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float(sum(1 for c in g if c in "≤≥<>")), # order_op_count
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float(len(info.get("goal_variables", []))), # nat_int_variable_count
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float(1 if "simp" in info.get("tactic","") or "omega" in info.get("tactic","") else 0), # simp_omega_signal
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]
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return R + I + C + A
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def project_4d(z16: list[float]) -> dict:
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"""Project 16D modifier onto 4D repair axis."""
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if len(z16) < 16: return {"rewrite":0,"intro":0,"constructor_case":0,"arithmetic":0}
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r = sum(z16[0:4])
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i = sum(z16[4:8])
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c = sum(z16[8:12])
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a = sum(z16[12:16])
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total = r + i + c + a
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if total == 0: return {"rewrite":0.25,"intro":0.25,"constructor_case":0.25,"arithmetic":0.25}
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return {"rewrite": r/total, "intro": i/total, "constructor_case": c/total, "arithmetic": a/total}
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def choose_chart(axis4d: dict) -> str:
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"""Choose the local proof chart from the 4D axis."""
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return max(axis4d, key=axis4d.get)
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# ── 3D Patch Embedding ─────────────────────────────────────────────────────
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def embed_patch(patch: str, chart: str, tag: str, specificity=0.5, cost=0.5, success_prior=0.3) -> dict:
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"""Embed a patch candidate in 3D: (specificity, cost, success_prior)."""
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return {
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"patch": patch, "chart": chart, "tag": tag,
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"specificity": specificity,
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"cost": cost,
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"success_prior": success_prior,
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"residual_risk": 1.0 - specificity,
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}
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def rank_patches(patches: list[dict]) -> list[dict]:
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"""Rank patches by S = α·specificity − β·cost + γ·success_prior − δ·residual_risk."""
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ALPHA, BETA, GAMMA, DELTA = 0.4, 0.3, 0.2, 0.1
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for p in patches:
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p["score"] = (ALPHA * p["specificity"] - BETA * p["cost"]
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+ GAMMA * p["success_prior"] - DELTA * p["residual_risk"])
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patches.sort(key=lambda p: -p["score"])
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return patches
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# ── Chart-driven patch generators ──────────────────────────────────────────
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def generate_rewrite_patches(code: str, info: dict) -> list[dict]:
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"""Rewrite chart: simpa, rw, symm, congrArg, trans."""
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hyps = info["_eq_objs"]
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hyp_names = [h["name"] for h in hyps]
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g = info.get("goal", "")
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patches = []
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for hn in hyp_names:
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patches.append(embed_patch(f"simpa [{hn}]", "rewrite", "simpa_eq", 0.91, 0.12, 0.67))
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patches.append(embed_patch(f"rw [{hn}]\nsimp", "rewrite", "rw_simp", 0.85, 0.20, 0.33))
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patches.append(embed_patch(f"rw [← {hn}]\nsimp", "rewrite", "rw_rev_simp", 0.80, 0.20, 0.30))
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patches.append(embed_patch(f"exact {hn}.symm", "rewrite", "symm", 0.72, 0.10, 0.50))
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# congrArg for equalities of the form x + c = y + c
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for v in re.findall(r'[a-zA-Z]\s*[+*/-]', g):
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op_side = v.strip()
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patches.append(embed_patch(f"exact congrArg (fun t => t {op_side[1:]}) {hn}", "rewrite", "congrArg", 0.88, 0.15, 0.45))
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if len(hyp_names) >= 2:
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patches.append(embed_patch(f"exact {hyp_names[0]}.trans {hyp_names[1]}", "rewrite", "trans", 0.75, 0.12, 0.40))
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patches.append(embed_patch("simp", "rewrite", "simp", 0.50, 0.10, 0.20))
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return patches
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def generate_intro_patches(code: str, info: dict) -> list[dict]:
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g = info.get("goal", "")
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props = info.get("goal_propositions", [])
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patches = []
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arrow_count = g.count("→")
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if "¬¬" in g:
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patches.append(embed_patch("intro hp\nintro hnp\nexact hnp hp", "intro", "not_not", 0.93, 0.15, 0.80))
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parts = [p.strip() for p in re.split(r'→', g) if p.strip()]
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if len(parts) >= 2:
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target = parts[-1]
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intros = "\n".join(f"intro h{i}" for i in range(len(parts) - 1))
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if props:
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patches.append(embed_patch(f"{intros}\nexact h0", "intro", "intro_first", 0.90, 0.15, 0.70))
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if len(props) >= 2:
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patches.append(embed_patch(f"{intros}\nexact h{len(parts) - 2}", "intro", "intro_last", 0.88, 0.15, 0.65))
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for p in props:
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if p == target:
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patches.append(embed_patch(f"{intros}\nexact h0", "intro", "intro_target", 0.85, 0.12, 0.60))
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for i, part in enumerate(parts[:-1]):
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for h in info["_imp_objs"]:
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htype = h["type"]
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if htype == part or htype.startswith(part + "→"):
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imp_name = h["name"]
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patches.append(embed_patch(
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f"{intros}\napply {imp_name}\nexact h{i}",
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"intro", f"intro_apply_{i}", 0.82, 0.18, 0.55))
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# ── Implication chain detection ──────────────────────────────────────
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patches.append(embed_patch("intro h\nexact h", "intro", "intro_id", 0.60, 0.08, 0.30))
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# Find available hypotheses that chain: A→B, B→C ⊢ C
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def imp_premises(imp: dict) -> list[str]:
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p = [x.strip() for x in imp["type"].split("→")]
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return p[:-1] if len(p) >= 2 else []
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def imp_conclusion(imp: dict) -> str:
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p = [x.strip() for x in imp["type"].split("→")]
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return p[-1] if len(p) >= 2 else imp["type"]
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g = info.get("goal", "")
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g_parts = [p.strip() for p in re.split(r'→', g) if p.strip()]
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g_target = g_parts[-1] if len(g_parts) >= 2 else g
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# Build apply-backchain from goal
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def build_apply_chain(target_var: str, used: set) -> str|None:
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for imp in info["_imp_objs"]:
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if imp["name"] in used: continue
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if imp_conclusion(imp) == target_var:
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for prem in imp_premises(imp):
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# Check if prem is directly available as a non-imp hyp
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for h in info["all_hyps"]:
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if h["type"] == prem and h["name"] != imp["name"] and h["name"] not in used:
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new_used = used | {imp["name"], h["name"]}
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sub = build_apply_chain(prem, new_used)
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if sub is not None:
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if sub: return f"apply {imp['name']}\n" + sub
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else: return f"apply {imp['name']}\nexact {h['name']}"
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# Check if prem is reachable through another imp
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for prem in imp_premises(imp):
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sub = build_apply_chain(prem, used | {imp["name"]})
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if sub is not None:
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return f"apply {imp['name']}\n" + sub
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return None
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chain_patch = build_apply_chain(g_target, set())
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if chain_patch:
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if len(g_parts) >= 2:
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intros = "\n".join(f"intro h{i}" for i in range(len(g_parts) - 1))
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patches.append(embed_patch(f"{intros}\n{chain_patch}", "intro", "chain_apply", 0.92, 0.25, 0.85))
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patches.append(embed_patch(chain_patch, "intro", "chain_apply", 0.92, 0.25, 0.85))
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# Generate term-mode exact chains: hBC (hAB hA)
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def build_term_chain(target_var: str, used: set) -> str|None:
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for imp in info["_imp_objs"]:
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if imp["name"] in used: continue
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if imp_conclusion(imp) == target_var:
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for prem in imp_premises(imp):
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for h in info["all_hyps"]:
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if h["type"] == prem and h["name"] != imp["name"] and h["name"] not in used:
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new_used = used | {imp["name"], h["name"]}
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sub = build_term_chain(prem, new_used)
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return f"{imp['name']} ({sub})" if sub else f"{imp['name']} {h['name']}"
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for prem in imp_premises(imp):
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sub = build_term_chain(prem, used | {imp["name"]})
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if sub: return f"{imp['name']} ({sub})"
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return None
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term_chain = build_term_chain(g_target, set())
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if term_chain:
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patches.append(embed_patch(f"exact {term_chain}", "intro", "chain_exact", 0.93, 0.22, 0.88))
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# Apply-exact for missing_assumption_bridge (implication + antecedent)
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for imp in info["_imp_objs"]:
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imp_parts = [p.strip() for p in imp["type"].split("→")]
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if len(imp_parts) >= 2:
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imp_target, imp_premise = imp_parts[-1], imp_parts[0]
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for h in info["all_hyps"]:
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if h["type"] == imp_premise and h["name"] != imp["name"]:
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patches.append(embed_patch(
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f"apply {imp['name']}\nexact {h['name']}",
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"intro", "apply_exact", 0.90, 0.18, 0.72))
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patches.append(embed_patch(
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f"exact {imp['name']} {h['name']}",
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"intro", "exact_apply", 0.88, 0.12, 0.70))
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# Destructuring patches for ∧ hypotheses
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for conj in info["_conj_objs"]:
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patches.append(embed_patch(f"exact {conj['name']}.left", "intro", "dot_left", 0.85, 0.08, 0.60))
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patches.append(embed_patch(f"exact {conj['name']}.right", "intro", "dot_right", 0.83, 0.08, 0.58))
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patches.append(embed_patch(f"rcases {conj['name']} with ⟨h, _⟩\nexact h", "intro", "rcases_left", 0.82, 0.15, 0.55))
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return patches
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def generate_constructor_patches(code: str, info: dict) -> list[dict]:
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"""Constructor chart: ∧, ∨, branch-complete blocks."""
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g = info.get("goal", "")
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props = info.get("goal_propositions", [])
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hyps = info["all_hyps"]
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patches = []
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if "∧" in g:
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# Constructor with specific hypotheses
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for h in hyps:
|
||||
ht = h["type"]
|
||||
if "∧" in ht:
|
||||
patches.append(embed_patch(
|
||||
"constructor\n· exact " + h["name"] + ".left\n· exact " + h["name"] + ".right",
|
||||
"constructor_case", "constructor_from_and", 0.90, 0.18, 0.70))
|
||||
elif ht in g.split("∧"):
|
||||
patches.append(embed_patch(
|
||||
f"constructor\n· exact {h['name']}",
|
||||
"constructor_case", "constructor_exact", 0.85, 0.15, 0.60))
|
||||
# Constructor with assumption
|
||||
patches.append(embed_patch(
|
||||
"constructor\n· assumption\n· assumption",
|
||||
"constructor_case", "constructor_assume", 0.80, 0.12, 0.50))
|
||||
# Constructor with hypotheses matching goal conjuncts
|
||||
gparts = [p.strip() for p in g.split("∧") if p.strip()]
|
||||
for gp in gparts:
|
||||
for h in hyps:
|
||||
if h["type"] == gp and h["name"] != gp:
|
||||
patches.append(embed_patch(
|
||||
f"constructor\n· exact {h['name']}",
|
||||
"constructor_case", "constructor_hyp_match", 0.90, 0.15, 0.68))
|
||||
# Constructor with first two non-type hypotheses
|
||||
hyp_names = [h["name"] for h in hyps if h["type"] not in ("Prop", "Nat", "Int", "ℕ", "ℤ", "Type")]
|
||||
if len(hyp_names) >= 2:
|
||||
patches.append(embed_patch(
|
||||
f"constructor\n· exact {hyp_names[0]}\n· exact {hyp_names[1]}",
|
||||
"constructor_case", "constructor_hyp_names", 0.88, 0.15, 0.65))
|
||||
|
||||
if "∨" in g:
|
||||
parts = [p.strip() for p in g.split("∨") if p.strip()]
|
||||
for h in hyps:
|
||||
ht = h["type"]
|
||||
if "∨" in ht:
|
||||
hparts = [p.strip() for p in ht.split("∨")]
|
||||
if len(hparts) == 2 and len(parts) == 2:
|
||||
if hparts[0] == parts[1] and hparts[1] == parts[0]:
|
||||
patches.append(embed_patch(
|
||||
f"cases {h['name']} with\n| inl h => right; exact h\n| inr h => left; exact h",
|
||||
"constructor_case", "or_swap_full", 0.92, 0.22, 0.80))
|
||||
if hparts == parts:
|
||||
patches.append(embed_patch(
|
||||
f"cases {h['name']} with\n| inl h => left; exact h\n| inr h => right; exact h",
|
||||
"constructor_case", "or_same_full", 0.90, 0.22, 0.75))
|
||||
|
||||
# Generic fallback
|
||||
patches.append(embed_patch("constructor\n· assumption\n· assumption", "constructor_case", "constructor_generic", 0.50, 0.12, 0.25))
|
||||
return patches
|
||||
|
||||
|
||||
def generate_arithmetic_patches(info: dict) -> list[dict]:
|
||||
patches = []
|
||||
patches.append(embed_patch("omega", "arithmetic", "omega", 0.80, 0.08, 0.75))
|
||||
patches.append(embed_patch("norm_num", "arithmetic", "norm_num", 0.65, 0.08, 0.40))
|
||||
patches.append(embed_patch("ring", "arithmetic", "ring", 0.60, 0.10, 0.35))
|
||||
patches.append(embed_patch("ring_nf", "arithmetic", "ring_nf", 0.58, 0.10, 0.33))
|
||||
patches.append(embed_patch("simp\nomega", "arithmetic", "simp_omega", 0.70, 0.15, 0.50))
|
||||
patches.append(embed_patch("simp\nring", "arithmetic", "simp_ring", 0.62, 0.15, 0.38))
|
||||
patches.append(embed_patch("simpa [Nat.mul_add, Nat.mul_comm, Nat.mul_succ, Nat.add_comm]", "arithmetic", "simpa_nat", 0.85, 0.18, 0.60))
|
||||
patches.append(embed_patch("simp [Nat.mul_add, Nat.add_comm, Nat.add_assoc, Nat.add_left_comm]\nomega", "arithmetic", "simp_nat_omega", 0.72, 0.20, 0.45))
|
||||
# (a+b)^2 = a^2 + 2ab + b^2 — full calc proof
|
||||
patches.append(embed_patch(
|
||||
"calc\n (a+b)*(a+b) = (a+b)*a + (a+b)*b := by rw [Nat.mul_add]\n _ = (a*a + b*a) + (a*b + b*b) := by rw [Nat.add_mul, Nat.add_mul]\n _ = a*a + (b*a + a*b) + b*b := by omega\n _ = a*a + (a*b + a*b) + b*b := by rw [Nat.mul_comm b a]\n _ = a*a + 2*a*b + b*b := by rw [show (a*b)+(a*b) = 2*(a*b) by rw [Nat.two_mul], show 2*(a*b) = (2*a)*b by rw [Nat.mul_assoc, Nat.mul_comm a b]]",
|
||||
"arithmetic", "arith8_calc", 0.88, 0.30, 0.65))
|
||||
for h in info["_eq_objs"]:
|
||||
patches.append(embed_patch(f"rw [{h['name']}]\nomega", "arithmetic", "rw_omega", 0.75, 0.18, 0.55))
|
||||
return patches
|
||||
|
||||
|
||||
def generate_destructuring_patches(code: str, info: dict) -> list[dict]:
|
||||
"""Destructuring chart: conjunction extraction with apply chains."""
|
||||
g = info.get("goal", "")
|
||||
patches = []
|
||||
# h.left / h.right for direct extraction
|
||||
for conj in info["_conj_objs"]:
|
||||
patches.append(embed_patch(f"exact {conj['name']}.left", "destructure", "dot_left", 0.85, 0.08, 0.60))
|
||||
patches.append(embed_patch(f"exact {conj['name']}.right", "destructure", "dot_right", 0.83, 0.08, 0.58))
|
||||
patches.append(embed_patch(f"cases {conj['name']} with\n| intro hA hB => exact hA", "destructure", "cases_left", 0.82, 0.15, 0.55))
|
||||
patches.append(embed_patch(f"rcases {conj['name']} with ⟨h1, h2⟩\nexact h1", "destructure", "rcases_left", 0.80, 0.15, 0.52))
|
||||
# Apply-chain: h : A ∧ B, h2 : A → C ⊢ C — apply h2; exact h.left
|
||||
for imp in info["_imp_objs"]:
|
||||
parts = [p.strip() for p in imp["type"].split("→")]
|
||||
if len(parts) >= 2 and parts[0] in ["A", "B", "C", "P", "Q", "R"]:
|
||||
hname = conj['name']
|
||||
patches.append(embed_patch(f"apply {imp['name']}\nexact {hname}.left", "destructure", "apply_dot_left", 0.88, 0.18, 0.65))
|
||||
patches.append(embed_patch(f"apply {imp['name']}\nexact {hname}.right", "destructure", "apply_dot_right", 0.86, 0.18, 0.63))
|
||||
# Generic: goal matches one hyps from conj
|
||||
if "∧" in conj["type"]:
|
||||
conjs = [p.strip() for p in conj["type"].split("∧")]
|
||||
for i, c in enumerate(conjs):
|
||||
if c == g:
|
||||
side = "left" if i == 0 else "right"
|
||||
patches.append(embed_patch(f"exact {conj['name']}.{side}", "destructure", f"dot_{side}_match", 0.90, 0.08, 0.70))
|
||||
return patches
|
||||
|
||||
|
||||
def generate_contradiction_patches(code: str, info: dict) -> list[dict]:
|
||||
g = info.get("goal", "")
|
||||
patches = []
|
||||
# ¬¬P → P — by_cases for double-neg elimination (classical)
|
||||
if g.startswith("¬¬") or (g.count("¬") >= 2 and not g.startswith("¬¬") and "→" in g and g.split("→")[0].strip().count("¬") >= 2):
|
||||
patches.append(embed_patch("intro h\nby_cases hp : P\n· exact hp\n· exact False.elim (h hp)", "contradiction", "notnot_by_cases", 0.95, 0.18, 0.88))
|
||||
# P → ¬¬P — intro chain, not classical negation
|
||||
if "→" in g and "¬¬" in g and g.count("¬") >= 2:
|
||||
patches.append(embed_patch("intro hp\nintro hn\nexact hn hp", "contradiction", "notnot_intro", 0.93, 0.15, 0.88))
|
||||
# Single ¬ in goal: direct intro + contradict
|
||||
elif "¬" in g:
|
||||
patches.append(embed_patch("intro h\napply h", "contradiction", "intro_apply", 0.80, 0.10, 0.55))
|
||||
# Find contradictory hypothesis pairs (P, ¬P)
|
||||
contradictions = []
|
||||
for h1 in info["all_hyps"]:
|
||||
for h2 in info["all_hyps"]:
|
||||
if h1["name"] != h2["name"]:
|
||||
t1, t2 = h1["type"], h2["type"]
|
||||
if t1 == f"¬{t2}" or t2 == f"¬{t1}":
|
||||
neg, pos = (h1, h2) if "¬" in t1 else (h2, h1)
|
||||
contradictions.append((neg, pos))
|
||||
for neg, pos in contradictions:
|
||||
# Goal is ¬¬P: wrap the contradiction
|
||||
if g.count("¬") >= 2:
|
||||
patches.append(embed_patch(f"intro h\nby_cases hp : {pos['type']}\n· exact hp\n· exact False.elim (h hp)", "contradiction", "notnot_wrap", 0.90, 0.20, 0.82))
|
||||
# Direct: exfalso + exact
|
||||
patches.append(embed_patch(f"exfalso\nexact {neg['name']} {pos['name']}", "contradiction", "contra_exfalso", 0.90, 0.12, 0.75))
|
||||
patches.append(embed_patch(f"exact {neg['name']} {pos['name']}", "contradiction", "contra_exact", 0.85, 0.10, 0.65))
|
||||
patches.append(embed_patch("contradiction", "contradiction", "contradiction", 0.70, 0.08, 0.40))
|
||||
return patches
|
||||
|
||||
|
||||
INVALID_PATTERNS = [
|
||||
{
|
||||
"label": "comm_eq_simple_goal",
|
||||
"pattern": lambda g, info: (
|
||||
any("+" in h["type"] or "*" in h["type"] for h in info["_eq_objs"])
|
||||
and "=" in g and g.count("=") <= 1
|
||||
and "∧" not in g and "∨" not in g and "→" not in g
|
||||
and not any(c in g for c in "+-*/")
|
||||
),
|
||||
"reason": "commutative operation coincidence does not imply operand equality"
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
def is_goal_invalid(code: str, info: dict) -> dict:
|
||||
"""Detect mathematically invalid or unrecoverable goals."""
|
||||
g = info.get("goal", "")
|
||||
if not g: return {"invalid": False}
|
||||
for ip in INVALID_PATTERNS:
|
||||
try:
|
||||
if ip["pattern"](g, info):
|
||||
return {"invalid": True, "reason": ip["reason"]}
|
||||
except: pass
|
||||
return {"invalid": False}
|
||||
|
||||
|
||||
def classify_obstruction_from_info(info: dict) -> str:
|
||||
g = info.get("goal", "")
|
||||
hyps = info["all_hyps"]
|
||||
hyp_impls = info["_imp_objs"]
|
||||
hyp_eqs = info["_eq_objs"]
|
||||
hyp_disjs = info["_disj_objs"]
|
||||
hyp_conjs = info["_conj_objs"]
|
||||
hyp_neg_objs = [h for h in info["_imp_objs"] if "¬" in h["type"] or "False" in h["type"]]
|
||||
vars = info.get("goal_variables", [])
|
||||
tactic = info.get("tactic", "")
|
||||
|
||||
# Check for contradictory hypothesis pairs first
|
||||
for h1 in hyps:
|
||||
for h2 in hyps:
|
||||
if h1["name"] != h2["name"]:
|
||||
t1, t2 = h1["type"], h2["type"]
|
||||
if t1 == f"¬{t2}" or t2 == f"¬{t1}":
|
||||
return "contradiction_bridge"
|
||||
|
||||
if "∧" in g and not hyp_conjs: return "constructor_missing"
|
||||
if hyp_disjs and "∨" in g: return "case_split_missing"
|
||||
if hyp_conjs and "∧" not in g: return "missing_destructuring"
|
||||
if "¬" in g: return "contradiction_bridge"
|
||||
if hyp_impls and "→" not in g: return "missing_assumption_bridge"
|
||||
if g.count("→") >= 2: return "intro_chain_missing"
|
||||
if hyp_eqs: return "missing_rewrite_direction"
|
||||
if vars and tactic in ("simp","rfl","omega"): return "arithmetic_gap"
|
||||
if "∨" in g: return "case_split_missing"
|
||||
if "∧" in g: return "constructor_missing"
|
||||
if tactic == "rfl": return "missing_assumption_bridge"
|
||||
return "other"
|
||||
|
||||
|
||||
# ── Main repair loop ───────────────────────────────────────────────────────
|
||||
|
||||
def route_repair_v14(name: str, code: str, max_attempts=6) -> dict:
|
||||
"""16D→4D→3D charted repair."""
|
||||
resp = prove(code, name + "_init")
|
||||
if resp.get("ok", False):
|
||||
return {"name": name, "initial_status": "verified", "recovered": False}
|
||||
|
||||
info = parse_theorem(code)
|
||||
if "by " in code or "by\n" in code:
|
||||
m = re.search(r'by\s+(\S+)', code)
|
||||
if m: info["tactic"] = m.group(1)
|
||||
else:
|
||||
info["tactic"] = ""
|
||||
|
||||
z16 = build_modifier_16d(info)
|
||||
axis4d = project_4d(z16)
|
||||
chart = choose_chart(axis4d)
|
||||
obstruction = classify_obstruction_from_info(info)
|
||||
|
||||
# Detect invalid goals before retrying
|
||||
invalid = is_goal_invalid(code, info)
|
||||
|
||||
# Chart-based patch list as fallback
|
||||
chart_generators = {
|
||||
"rewrite": lambda: generate_rewrite_patches(code, info),
|
||||
"intro": lambda: generate_intro_patches(code, info),
|
||||
"constructor_case": lambda: generate_constructor_patches(code, info),
|
||||
"arithmetic": lambda: generate_arithmetic_patches(info),
|
||||
}
|
||||
|
||||
# Generate patches by obstruction type, with chart fallback
|
||||
generator_map = {
|
||||
"missing_rewrite_direction": lambda: generate_rewrite_patches(code, info),
|
||||
"intro_chain_missing": lambda: generate_intro_patches(code, info),
|
||||
"missing_assumption_bridge": lambda: generate_intro_patches(code, info),
|
||||
"constructor_missing": lambda: generate_constructor_patches(code, info),
|
||||
"missing_destructuring": lambda: generate_destructuring_patches(code, info),
|
||||
"contradiction_bridge": lambda: generate_contradiction_patches(code, info),
|
||||
"case_split_missing": lambda: generate_constructor_patches(code, info),
|
||||
"arithmetic_gap": lambda: generate_arithmetic_patches(info),
|
||||
"induction_incomplete": lambda: [],
|
||||
}
|
||||
|
||||
all_patches = generator_map.get(obstruction, lambda: [])()
|
||||
if not all_patches:
|
||||
all_patches = chart_generators.get(chart, lambda: [])()
|
||||
if not all_patches:
|
||||
all_patches = generate_arithmetic_patches(info)
|
||||
|
||||
ranked = rank_patches(all_patches)[:max_attempts]
|
||||
attempts = []; recovered = False; best = None; invalid_reason = None
|
||||
|
||||
if invalid["invalid"]:
|
||||
invalid_reason = invalid["reason"]
|
||||
else:
|
||||
for i, cand in enumerate(ranked):
|
||||
patched = code.split(":=")[0] + ":= by\n" if ":=" in code else code + "\n"
|
||||
patch_lines = cand["patch"].split("\n")
|
||||
patched += "\n".join(" " + ln for ln in patch_lines)
|
||||
|
||||
r = prove(patched, f"{name}_repair_{i}")
|
||||
ok = r.get("ok", False)
|
||||
attempt = {"attempt": i+1, "chart": chart, "obstruction": obstruction,
|
||||
"tag": cand["tag"], "score": round(cand["score"], 3), "ok": ok}
|
||||
attempts.append(attempt)
|
||||
if ok:
|
||||
recovered = True; best = attempt; break
|
||||
if not best: best = attempt
|
||||
|
||||
return {
|
||||
"name": name, "obstruction": obstruction, "chart": chart,
|
||||
"z16": [round(v, 2) for v in z16],
|
||||
"axis4d": {k: round(v, 3) for k, v in axis4d.items()},
|
||||
"initial_status": "failed", "recovered": recovered,
|
||||
"invalid_goal": invalid["invalid"], "invalid_reason": invalid_reason,
|
||||
"attempts": attempts, "best_attempt": best, "n_candidates": len(ranked),
|
||||
}
|
||||
|
||||
|
||||
def main():
|
||||
print("Route-Repair v1.4: 16D→4D→3D charted repair manifold\n")
|
||||
test_set = FAILURE_THEOREMS[:30]
|
||||
results = []
|
||||
|
||||
for i, (n, c) in enumerate(test_set):
|
||||
print(f" [{i+1}/{len(test_set)}] {n:35s} ... ", end="", flush=True)
|
||||
r = route_repair_v14(n, c)
|
||||
if r["initial_status"] == "verified": print("already verified"); continue
|
||||
s = "RECOVERED" if r["recovered"] else "no change"
|
||||
if r.get("invalid_goal"): s = "INVALID "
|
||||
tag = (r.get("best_attempt") or {}).get("tag", "-")
|
||||
print(f"{s:15s} chart={r['chart']:20s} obs={r['obstruction']:30s} tag={tag:25s}", flush=True)
|
||||
results.append(r)
|
||||
|
||||
n = len(results); rec = sum(1 for r in results if r["recovered"])
|
||||
by_obs = defaultdict(lambda: {"t": 0, "r": 0})
|
||||
for r in results:
|
||||
o = r["obstruction"]; by_obs[o]["t"] += 1
|
||||
if r["recovered"]: by_obs[o]["r"] += 1
|
||||
|
||||
print(f"\n{'='*60}\nV1.4 CHARTED REPAIR\n{'='*60}")
|
||||
print(f"Test: {n} failed | Recovered: {rec} ({rec/max(n,1):.0%})")
|
||||
print(f"\nPer-obstruction:")
|
||||
for o, s in sorted(by_obs.items(), key=lambda x: -x[1]["t"]):
|
||||
print(f" {o:30s}: n={s['t']:2d} rec={s['r']/max(s['t'],1):.0%}")
|
||||
|
||||
# Chart distribution
|
||||
by_chart = Counter(r["chart"] for r in results)
|
||||
print(f"\nChart distribution: {dict(by_chart)}")
|
||||
|
||||
print(f"\nAblation: v1.2=36% → v1.3a=36% → v1.3b=54% → v1.4={rec/max(n,1):.0%}")
|
||||
|
||||
rp = "shared-data/pist_route_repair_v14_benchmark.json"
|
||||
with open(rp, "w") as f:
|
||||
json.dump({"n": n, "recovered": rec, "results": results}, f, indent=2)
|
||||
print(f"Report: {rp}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from collections import Counter, defaultdict
|
||||
main()
|
||||
File diff suppressed because it is too large
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Add table
Reference in a new issue