feat: binding-graph acyclicity invariant — circular_dependency guard (ADR-0203)

proof_chain phase 2.1: the acyclicity guard at the shared binding-graph
construction boundary, before phase 2.2 wiring can build a cyclic-capable structure.

- generate/binding_graph/acyclicity.py: pure find_cycle(adjacency) detector
  (deterministic three-colour DFS; isolated, no model import).
- model.py __post_init__: builds {lhs: deps} adjacency over equations and raises
  BindingGraphError(circular_dependency ...) on a cycle. Runs on every binding
  graph (math + future proof) — illegal states unrepresentable for all consumers.
- tests/test_binding_graph_acyclicity.py: 17 tests (pure checker + construction
  enforcement); mutation-verified non-vacuous.
- ADR-0203: new ADDITIVE invariant referencing ADR-0132 (not an amendment —
  preserves the why-added-later history).

Math-lane regression proof: the only producer (math adapter) is acyclic by
construction (fresh result symbol per op, deps point backward); full
binding-graph + admissibility surface 392 green; guard refuses no existing graph.

Honesty boundary (load-bearing): through phase 2.3, proof_chain is SOUND OVER
DECLARED ATOMS, not grounded in recognized input (grounding is phase 2.4).

full binding-graph/admissibility surface: 392 passed. smoke: 67 passed.
This commit is contained in:
Shay 2026-06-02 18:42:40 -07:00
parent 2631b36148
commit 451c4b1e17
5 changed files with 388 additions and 0 deletions

View file

@ -0,0 +1,107 @@
# ADR-0203 — Binding-Graph Acyclicity Invariant (`circular_dependency` refusal)
**Status:** Accepted (proof_chain phase 2.1 — the isolated guard; ADR-0201 §Deferred)
**Date:** 2026-06-02
**Relates to:** **ADR-0132** (binding-graph data model — this *adds* an invariant to
its construction contract; see §amend-vs-additive), ADR-0201 (canonicalizer +
phase plan), ADR-0202 (proposition representation contract).
---
## Context
ADR-0132's `SemanticSymbolicBindingGraph.__post_init__` enforces **referential
integrity** (every `BoundEquation` dependency names a known symbol) but **not
acyclicity**. A cycle in the equation dependency structure — `x` defined from `y`,
`y` defined from `x`, or a self-dependency `x ← x` — is **circular reasoning**:
structurally well-formed, semantically invalid. It is the proof-domain analog of
the `20/5 == 4` class the arithmetic gate refuses.
`proof_chain` (ADR-0201) is the first consumer that can *build* such a structure:
its phase 2.2 wiring constructs binding graphs from proofs, where a malformed proof
could close a dependency loop. Per CORE's "build the defensive refusal NOW"
discipline, the guard must exist **before** the structure where a cycle can exist —
so this phase (2.1) lands it *before* any 2.2 wiring.
## Decision
Add an **acyclicity invariant** to binding-graph construction:
- **`generate/binding_graph/acyclicity.py`** — a pure `find_cycle(adjacency)`
cycle detector (deterministic three-colour DFS; sorted traversal → byte-stable
reported cycle; self-edge → length-1 cycle). No model import — testable in
isolation against synthetic adjacency graphs.
- **Enforcement at the shared construction boundary.** `__post_init__` builds a
`{lhs_symbol_id: dependencies}` adjacency over its equations and calls
`find_cycle`; a non-`None` result raises
`BindingGraphError("circular_dependency: equation dependency cycle …")` naming
the cycle. This runs on **every** binding graph — math and (future) proof alike —
making a cyclic graph unrepresentable for all consumers.
### Why the shared `__post_init__` (not a proof-only check)
Putting it at the substrate boundary closes the gap universally and makes illegal
states unrepresentable (the CLAUDE.md design principle), rather than leaving the
math binding graph cycle-unchecked. The guard exists the instant the structure
becomes constructible — strictly *before* the proof wiring that makes a cycle
reachable.
### Math-lane regression proof (the shared-constructor risk)
Because the guard runs on the existing math/algebra path too, it must refuse no
existing graph. Verified:
- The **only** production producer is `generate/binding_graph/adapter.py`
(`bind_math_problem_graph`). It mints a **fresh** result symbol per operation
(`_op_result_symbol_id(idx)`) and depends only on symbols that already exist —
edges point strictly backward in construction order. It is therefore **acyclic
by construction** and cannot produce a graph this guard would refuse.
- No existing test constructs a dependency cycle (the `sym_ghost` fixture is the
referential-integrity refusal, not a cycle).
- The **full binding-graph + admissibility test surface — 392 tests — stays
green** with the guard in `__post_init__`. (Smoke: 67 passed.)
A future/in-flight consumer that *did* build a cycle would now be refused at
construction — which is the point.
## amend-vs-additive (ADR-0203 vs amending ADR-0132)
**Decision: a new additive ADR (this one) that references ADR-0132 — not an
amendment of the closed record.**
ADR-0132 is `Accepted`. The acyclicity invariant was not part of its original
decision; it became necessary later, when `proof_chain` made cycles *reachable*.
Recording it as a new invariant preserves that history — *why* the guard was added
and *when it became load-bearing* — which an in-place edit of the closed record
would erase. This mirrors the history-vs-current-state discipline used elsewhere
(append the new fact; don't rewrite the settled one). The code lives beside
ADR-0132's referential-integrity check in `__post_init__`; the *decision record* is
additive.
## Honesty boundary (load-bearing — carried by every phase-2 ADR, 02030205)
Through phase 2.3, `proof_chain` is **sound over its declared atoms** — it does
**not** reason over recognized input. Atoms are opaque/declared symbol ids
(ADR-0202); grounding them to ADR-0144 `EpistemicNode`/`FeatureBundle` carriers is
**phase 2.4** (fork B). This must **never** be softened to "reasons over input"
before 2.4 lands. This ADR is structure-only and makes no grounding claim; it is
named here so the boundary travels with the work, not just with the rule ADRs.
## Evidence
- `tests/test_binding_graph_acyclicity.py` — 17 tests: pure checker (acyclic→None;
self-loop/2-/3-cycle/cycle-with-tail detected; deterministic), construction
enforcement (cyclic + self-dependent refuse; acyclic + adapter-shape construct),
and referential-integrity-still-fires-first.
- **Mutation-verified non-vacuous:** neutering `find_cycle` (→ always `None`) makes
a 2-cycle construct without refusal — `test_two_cycle_equation_set_refuses` would
fail. The guard is load-bearing, not decoration.
- Full binding-graph/admissibility surface: **392 passed**. Smoke: **67 passed**.
## Deferred (not in this phase)
- **2.2** — proof-graph builder (proof → `BoundEquation`s; `canonical_key`
`rhs_canonical`); the first construction that exercises this guard through the
real proof path (ADR-0204).
- **2.3**`modus_ponens` + the disagreement rule (ADR-0205).
- **2.4** — atom→`EpistemicNode` carrier grounding (ADR-0206).

View file

@ -21,6 +21,7 @@ Phase 5 (bounded-grammar / B3 integration) deferred.
from __future__ import annotations
from .acyclicity import CIRCULAR_DEPENDENCY, find_cycle
from .adapter import (
INTRODUCED_BY,
REFUSED_UNIT_PROOF,
@ -73,6 +74,7 @@ from .units import (
__all__ = (
"ADMISSIBILITY_REASONS",
"ADMISSIBILITY_STATUSES",
"CIRCULAR_DEPENDENCY",
"BASE_DIMENSIONS",
"DIMENSIONLESS",
"INTRODUCED_BY",
@ -102,6 +104,7 @@ __all__ = (
"bind_math_problem_graph",
"bound_unknown_from_math_problem_graph",
"check_admissibility",
"find_cycle",
"infer_question_form",
"parse_unit",
"resolve_state_index",

View file

@ -0,0 +1,91 @@
"""ADR-0203 — Acyclicity invariant for the binding-graph dependency structure.
Pure cycle detection over a ``{node: successors}`` adjacency, isolated from the
binding-graph model so it is testable against synthetic graphs with no
binding-graph construction. The model's ``__post_init__`` adapts its equations
into an adjacency and calls :func:`find_cycle`; a non-``None`` result is refused
with the typed reason :data:`CIRCULAR_DEPENDENCY`.
Why this exists (additive to ADR-0132, which it references): the ADR-0132 data
model enforces *referential integrity* (every dependency names a known symbol) but
not *acyclicity*. A cycle in the equation dependency structure is **circular
reasoning** concluding ``P`` because ``Q`` because ``P`` the proof-domain
analog of the ``20/5 == 4`` class: structurally well-formed, semantically invalid.
``proof_chain`` is the first consumer that can build such a structure, so the guard
lands at the shared construction boundary *before* that wiring exists (ADR-0201
phase 2.1).
On main today the only producer of binding graphs is the math adapter
(`generate/binding_graph/adapter.py`), which mints a fresh result symbol per
operation and depends only on symbols that already exist edges point strictly
backward in construction order, so it is **acyclic by construction**. This guard
therefore refuses no existing graph; it protects the structure the moment a future
consumer could build a cycle.
Honesty boundary (carried by every phase-2 ADR, 02030205): through phase 2.3,
``proof_chain`` is **sound over its declared atoms**, not grounded in recognized
input. Atomcarrier grounding is phase 2.4. This module is structure-only and makes
no grounding claim.
"""
from __future__ import annotations
from collections.abc import Mapping
from typing import Final
CIRCULAR_DEPENDENCY: Final[str] = "circular_dependency"
def find_cycle(adjacency: Mapping[str, frozenset[str]]) -> tuple[str, ...] | None:
"""Return a directed cycle as an ordered tuple ``(n0, …, nk, n0)``, or
``None`` if the graph is acyclic.
``adjacency`` maps a node to the set of nodes it points to (an equation's
``lhs_symbol_id`` the symbols it reads). Nodes that appear only as
successors (leaf dependencies defined by no equation) have no out-edges and
cannot start a cycle.
Deterministic: roots and successors are visited in sorted order, so the
reported cycle is byte-stable across runs (the replay discipline). A node
listing itself as a successor is reported as a length-1 self-cycle
``(n, n)``.
"""
WHITE, GREY, BLACK = 0, 1, 2
color: dict[str, int] = {node: WHITE for node in adjacency}
for succs in adjacency.values():
for succ in succs:
color.setdefault(succ, WHITE)
def successors(node: str) -> list[str]:
return sorted(adjacency.get(node, frozenset()))
# Iterative three-colour DFS (iterative to avoid recursion limits on long
# dependency chains). GREY = on the current DFS path; a GREY successor is a
# back-edge, i.e. a cycle.
for root in sorted(color):
if color[root] != WHITE:
continue
path: list[str] = [root]
stack: list[tuple[str, list[str]]] = [(root, successors(root))]
color[root] = GREY
while stack:
node, succs = stack[-1]
descended = False
while succs:
nxt = succs.pop(0)
state = color[nxt]
if state == GREY:
start = path.index(nxt)
return tuple(path[start:] + [nxt])
if state == WHITE:
color[nxt] = GREY
path.append(nxt)
stack.append((nxt, successors(nxt)))
descended = True
break
# BLACK: fully explored, no cycle through it — skip.
if not descended:
color[node] = BLACK
path.pop()
stack.pop()
return None

View file

@ -19,6 +19,8 @@ from __future__ import annotations
from dataclasses import dataclass, field
from typing import Final, Literal, Union
from generate.binding_graph.acyclicity import CIRCULAR_DEPENDENCY, find_cycle
# ---------------------------------------------------------------------------
# Public errors
# ---------------------------------------------------------------------------
@ -464,6 +466,24 @@ class SemanticSymbolicBindingGraph:
f"{dep!r} (lhs={eq.lhs_symbol_id!r})"
)
# ADR-0203 — acyclicity invariant. Referential integrity (above) proves
# every dependency names a known symbol; this proves the equation
# dependency structure has no cycle. A cycle is circular reasoning
# (conclude P because Q because P) — structurally well-formed, invalid.
# The math adapter is acyclic by construction, so this refuses no
# existing graph; it guards the structure before proof_chain (the first
# consumer that could build a cycle) wires in. Multiple equations sharing
# an lhs union their dependencies.
adjacency: dict[str, set[str]] = {}
for eq in self.equations:
adjacency.setdefault(eq.lhs_symbol_id, set()).update(eq.dependencies)
cycle = find_cycle({lhs: frozenset(deps) for lhs, deps in adjacency.items()})
if cycle is not None:
raise BindingGraphError(
f"{CIRCULAR_DEPENDENCY}: equation dependency cycle "
f"{' -> '.join(cycle)}"
)
equation_count = len(self.equations)
for unk in self.unknowns:
if unk.symbol_id not in known_ids:

View file

@ -0,0 +1,167 @@
"""ADR-0203 — acyclicity guard for the binding-graph dependency structure.
Two layers, both exercised here:
1. The **pure checker** (`find_cycle`) in isolation against synthetic adjacency
graphs no binding-graph construction. Cyclic graphs return the cycle;
acyclic graphs return None; fails-loud under mutation (the equivalent
cyclic/acyclic assertions are mutually constraining, so a neutered detector
fails the suite).
2. The **construction-boundary enforcement** in
`SemanticSymbolicBindingGraph.__post_init__` a cyclic equation set raises
`BindingGraphError(circular_dependency )`; an acyclic set (including the
math-adapter shape: fresh result symbol per op, deps point backward)
constructs fine the math-lane regression proof.
"""
from __future__ import annotations
import pytest
from generate.binding_graph import (
CIRCULAR_DEPENDENCY,
BindingGraphError,
BoundEquation,
SemanticSymbolicBindingGraph,
SourceSpanLink,
SymbolBinding,
find_cycle,
)
# ---------------------------------------------------------------------------
# Layer 1 — pure checker, isolated
# ---------------------------------------------------------------------------
ACYCLIC_GRAPHS = [
{}, # empty
{"a": frozenset()}, # single, no edges
{"a": frozenset({"b"}), "b": frozenset({"c"})}, # linear chain
{"a": frozenset({"b", "c"}), "b": frozenset({"d"}),
"c": frozenset({"d"}), "d": frozenset()}, # diamond / shared dep
{"a": frozenset({"b", "c", "d"})}, # leaves not defined by any eq
]
@pytest.mark.parametrize("graph", ACYCLIC_GRAPHS)
def test_acyclic_graphs_return_none(graph) -> None:
assert find_cycle(graph) is None
CYCLIC_GRAPHS = [
{"a": frozenset({"a"})}, # self-loop
{"a": frozenset({"b"}), "b": frozenset({"a"})}, # 2-cycle
{"a": frozenset({"b"}), "b": frozenset({"c"}),
"c": frozenset({"a"})}, # 3-cycle
{"t": frozenset({"a"}), "a": frozenset({"b"}),
"b": frozenset({"c"}), "c": frozenset({"b"})}, # cycle with a tail (t→a→b→c→b)
]
@pytest.mark.parametrize("graph", CYCLIC_GRAPHS)
def test_cyclic_graphs_are_detected(graph) -> None:
cycle = find_cycle(graph)
assert cycle is not None
# A reported cycle closes on itself and every hop is a real edge.
assert cycle[0] == cycle[-1]
for src, dst in zip(cycle, cycle[1:]):
assert dst in graph[src], f"{src}->{dst} is not an edge"
def test_self_loop_reported_as_length_one_cycle() -> None:
assert find_cycle({"x": frozenset({"x"})}) == ("x", "x")
def test_reported_cycle_is_deterministic() -> None:
graph = {"a": frozenset({"b"}), "b": frozenset({"c"}), "c": frozenset({"a"})}
assert find_cycle(graph) == find_cycle(graph)
# ---------------------------------------------------------------------------
# Construction fixtures (mirror tests/test_binding_graph_model.py helpers)
# ---------------------------------------------------------------------------
def _span() -> SourceSpanLink:
return SourceSpanLink(source_id="src", start=0, end=3, text="xyz")
def _sym(symbol_id: str) -> SymbolBinding:
return SymbolBinding(
symbol_id=symbol_id,
name=symbol_id,
semantic_role="quantity",
source_span=_span(),
introduced_by="test",
)
def _eq(lhs: str, deps: set[str]) -> BoundEquation:
return BoundEquation(
lhs_symbol_id=lhs,
rhs_canonical=f"{lhs} := f({sorted(deps)})",
dependencies=frozenset(deps),
operation_kind="add",
unit_proof="pending",
admissibility_status="pending",
source_span=_span(),
)
# ---------------------------------------------------------------------------
# Layer 2 — enforcement at the shared construction boundary
# ---------------------------------------------------------------------------
def test_acyclic_equation_set_constructs() -> None:
# r1 := f(x); r2 := f(r1, y) — strict DAG, edges point backward.
syms = tuple(_sym(s) for s in ("x", "y", "r1", "r2"))
eqs = (_eq("r1", {"x"}), _eq("r2", {"r1", "y"}))
graph = SemanticSymbolicBindingGraph(symbols=syms, equations=eqs)
assert len(graph.equations) == 2
def test_adapter_shape_is_acyclic_by_construction() -> None:
# Mirrors the math adapter: each op result depends only on prior symbols.
syms = tuple(_sym(s) for s in ("q0", "q1", "op_0", "op_1"))
eqs = (
_eq("op_0", {"q0", "q1"}), # op_0 := q0 + q1
_eq("op_1", {"op_0", "q1"}), # op_1 := op_0 + q1 (chains forward)
)
graph = SemanticSymbolicBindingGraph(symbols=syms, equations=eqs)
assert len(graph.equations) == 2
def test_two_cycle_equation_set_refuses() -> None:
syms = (_sym("x"), _sym("y"))
eqs = (_eq("x", {"y"}), _eq("y", {"x"})) # x↔y circular dependency
with pytest.raises(BindingGraphError) as exc:
SemanticSymbolicBindingGraph(symbols=syms, equations=eqs)
assert CIRCULAR_DEPENDENCY in str(exc.value)
def test_self_dependent_equation_refuses() -> None:
syms = (_sym("x"),)
eqs = (_eq("x", {"x"}),) # x defined in terms of itself
with pytest.raises(BindingGraphError) as exc:
SemanticSymbolicBindingGraph(symbols=syms, equations=eqs)
assert CIRCULAR_DEPENDENCY in str(exc.value)
def test_longer_cycle_equation_set_refuses() -> None:
syms = tuple(_sym(s) for s in ("a", "b", "c"))
eqs = (_eq("a", {"b"}), _eq("b", {"c"}), _eq("c", {"a"}))
with pytest.raises(BindingGraphError) as exc:
SemanticSymbolicBindingGraph(symbols=syms, equations=eqs)
assert CIRCULAR_DEPENDENCY in str(exc.value)
def test_referential_integrity_still_enforced_before_cycle_check() -> None:
# An unknown dependency is still the referential-integrity refusal, not a
# cycle — the existing ADR-0132 invariant is unchanged.
syms = (_sym("x"),)
eqs = (_eq("x", {"ghost"}),)
with pytest.raises(BindingGraphError) as exc:
SemanticSymbolicBindingGraph(symbols=syms, equations=eqs)
assert "unknown dependency" in str(exc.value)
assert CIRCULAR_DEPENDENCY not in str(exc.value)