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.
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107
docs/decisions/ADR-0203-binding-graph-acyclicity-invariant.md
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107
docs/decisions/ADR-0203-binding-graph-acyclicity-invariant.md
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@ -0,0 +1,107 @@
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# ADR-0203 — Binding-Graph Acyclicity Invariant (`circular_dependency` refusal)
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**Status:** Accepted (proof_chain phase 2.1 — the isolated guard; ADR-0201 §Deferred)
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**Date:** 2026-06-02
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**Relates to:** **ADR-0132** (binding-graph data model — this *adds* an invariant to
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its construction contract; see §amend-vs-additive), ADR-0201 (canonicalizer +
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phase plan), ADR-0202 (proposition representation contract).
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---
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## Context
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ADR-0132's `SemanticSymbolicBindingGraph.__post_init__` enforces **referential
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integrity** (every `BoundEquation` dependency names a known symbol) but **not
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acyclicity**. A cycle in the equation dependency structure — `x` defined from `y`,
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`y` defined from `x`, or a self-dependency `x ← x` — is **circular reasoning**:
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structurally well-formed, semantically invalid. It is the proof-domain analog of
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the `20/5 == 4` class the arithmetic gate refuses.
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`proof_chain` (ADR-0201) is the first consumer that can *build* such a structure:
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its phase 2.2 wiring constructs binding graphs from proofs, where a malformed proof
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could close a dependency loop. Per CORE's "build the defensive refusal NOW"
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discipline, the guard must exist **before** the structure where a cycle can exist —
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so this phase (2.1) lands it *before* any 2.2 wiring.
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## Decision
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Add an **acyclicity invariant** to binding-graph construction:
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- **`generate/binding_graph/acyclicity.py`** — a pure `find_cycle(adjacency)`
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cycle detector (deterministic three-colour DFS; sorted traversal → byte-stable
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reported cycle; self-edge → length-1 cycle). No model import — testable in
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isolation against synthetic adjacency graphs.
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- **Enforcement at the shared construction boundary.** `__post_init__` builds a
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`{lhs_symbol_id: ⋃ dependencies}` adjacency over its equations and calls
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`find_cycle`; a non-`None` result raises
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`BindingGraphError("circular_dependency: equation dependency cycle …")` naming
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the cycle. This runs on **every** binding graph — math and (future) proof alike —
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making a cyclic graph unrepresentable for all consumers.
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### Why the shared `__post_init__` (not a proof-only check)
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Putting it at the substrate boundary closes the gap universally and makes illegal
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states unrepresentable (the CLAUDE.md design principle), rather than leaving the
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math binding graph cycle-unchecked. The guard exists the instant the structure
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becomes constructible — strictly *before* the proof wiring that makes a cycle
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reachable.
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### Math-lane regression proof (the shared-constructor risk)
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Because the guard runs on the existing math/algebra path too, it must refuse no
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existing graph. Verified:
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- The **only** production producer is `generate/binding_graph/adapter.py`
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(`bind_math_problem_graph`). It mints a **fresh** result symbol per operation
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(`_op_result_symbol_id(idx)`) and depends only on symbols that already exist —
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edges point strictly backward in construction order. It is therefore **acyclic
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by construction** and cannot produce a graph this guard would refuse.
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- No existing test constructs a dependency cycle (the `sym_ghost` fixture is the
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referential-integrity refusal, not a cycle).
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- The **full binding-graph + admissibility test surface — 392 tests — stays
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green** with the guard in `__post_init__`. (Smoke: 67 passed.)
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A future/in-flight consumer that *did* build a cycle would now be refused at
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construction — which is the point.
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## amend-vs-additive (ADR-0203 vs amending ADR-0132)
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**Decision: a new additive ADR (this one) that references ADR-0132 — not an
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amendment of the closed record.**
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ADR-0132 is `Accepted`. The acyclicity invariant was not part of its original
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decision; it became necessary later, when `proof_chain` made cycles *reachable*.
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Recording it as a new invariant preserves that history — *why* the guard was added
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and *when it became load-bearing* — which an in-place edit of the closed record
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would erase. This mirrors the history-vs-current-state discipline used elsewhere
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(append the new fact; don't rewrite the settled one). The code lives beside
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ADR-0132's referential-integrity check in `__post_init__`; the *decision record* is
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additive.
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## Honesty boundary (load-bearing — carried by every phase-2 ADR, 0203–0205)
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Through phase 2.3, `proof_chain` is **sound over its declared atoms** — it does
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**not** reason over recognized input. Atoms are opaque/declared symbol ids
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(ADR-0202); grounding them to ADR-0144 `EpistemicNode`/`FeatureBundle` carriers is
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**phase 2.4** (fork B). This must **never** be softened to "reasons over input"
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before 2.4 lands. This ADR is structure-only and makes no grounding claim; it is
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named here so the boundary travels with the work, not just with the rule ADRs.
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## Evidence
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- `tests/test_binding_graph_acyclicity.py` — 17 tests: pure checker (acyclic→None;
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self-loop/2-/3-cycle/cycle-with-tail detected; deterministic), construction
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enforcement (cyclic + self-dependent refuse; acyclic + adapter-shape construct),
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and referential-integrity-still-fires-first.
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- **Mutation-verified non-vacuous:** neutering `find_cycle` (→ always `None`) makes
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a 2-cycle construct without refusal — `test_two_cycle_equation_set_refuses` would
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fail. The guard is load-bearing, not decoration.
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- Full binding-graph/admissibility surface: **392 passed**. Smoke: **67 passed**.
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## Deferred (not in this phase)
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- **2.2** — proof-graph builder (proof → `BoundEquation`s; `canonical_key` →
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`rhs_canonical`); the first construction that exercises this guard through the
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real proof path (ADR-0204).
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- **2.3** — `modus_ponens` + the disagreement rule (ADR-0205).
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- **2.4** — atom→`EpistemicNode` carrier grounding (ADR-0206).
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@ -21,6 +21,7 @@ Phase 5 (bounded-grammar / B3 integration) deferred.
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from __future__ import annotations
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from .acyclicity import CIRCULAR_DEPENDENCY, find_cycle
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from .adapter import (
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INTRODUCED_BY,
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REFUSED_UNIT_PROOF,
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@ -73,6 +74,7 @@ from .units import (
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__all__ = (
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"ADMISSIBILITY_REASONS",
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"ADMISSIBILITY_STATUSES",
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"CIRCULAR_DEPENDENCY",
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"BASE_DIMENSIONS",
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"DIMENSIONLESS",
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"INTRODUCED_BY",
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@ -102,6 +104,7 @@ __all__ = (
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"bind_math_problem_graph",
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"bound_unknown_from_math_problem_graph",
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"check_admissibility",
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"find_cycle",
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"infer_question_form",
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"parse_unit",
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"resolve_state_index",
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91
generate/binding_graph/acyclicity.py
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91
generate/binding_graph/acyclicity.py
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@ -0,0 +1,91 @@
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"""ADR-0203 — Acyclicity invariant for the binding-graph dependency structure.
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Pure cycle detection over a ``{node: successors}`` adjacency, isolated from the
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binding-graph model so it is testable against synthetic graphs with no
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binding-graph construction. The model's ``__post_init__`` adapts its equations
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into an adjacency and calls :func:`find_cycle`; a non-``None`` result is refused
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with the typed reason :data:`CIRCULAR_DEPENDENCY`.
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Why this exists (additive to ADR-0132, which it references): the ADR-0132 data
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model enforces *referential integrity* (every dependency names a known symbol) but
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not *acyclicity*. A cycle in the equation dependency structure is **circular
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reasoning** — concluding ``P`` because ``Q`` because ``P`` — the proof-domain
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analog of the ``20/5 == 4`` class: structurally well-formed, semantically invalid.
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``proof_chain`` is the first consumer that can build such a structure, so the guard
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lands at the shared construction boundary *before* that wiring exists (ADR-0201
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phase 2.1).
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On main today the only producer of binding graphs is the math adapter
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(`generate/binding_graph/adapter.py`), which mints a fresh result symbol per
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operation and depends only on symbols that already exist — edges point strictly
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backward in construction order, so it is **acyclic by construction**. This guard
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therefore refuses no existing graph; it protects the structure the moment a future
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consumer could build a cycle.
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Honesty boundary (carried by every phase-2 ADR, 0203–0205): through phase 2.3,
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``proof_chain`` is **sound over its declared atoms**, not grounded in recognized
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input. Atom→carrier grounding is phase 2.4. This module is structure-only and makes
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no grounding claim.
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"""
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from __future__ import annotations
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from collections.abc import Mapping
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from typing import Final
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CIRCULAR_DEPENDENCY: Final[str] = "circular_dependency"
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def find_cycle(adjacency: Mapping[str, frozenset[str]]) -> tuple[str, ...] | None:
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"""Return a directed cycle as an ordered tuple ``(n0, …, nk, n0)``, or
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``None`` if the graph is acyclic.
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``adjacency`` maps a node to the set of nodes it points to (an equation's
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``lhs_symbol_id`` → the symbols it reads). Nodes that appear only as
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successors (leaf dependencies defined by no equation) have no out-edges and
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cannot start a cycle.
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Deterministic: roots and successors are visited in sorted order, so the
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reported cycle is byte-stable across runs (the replay discipline). A node
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listing itself as a successor is reported as a length-1 self-cycle
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``(n, n)``.
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"""
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WHITE, GREY, BLACK = 0, 1, 2
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color: dict[str, int] = {node: WHITE for node in adjacency}
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for succs in adjacency.values():
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for succ in succs:
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color.setdefault(succ, WHITE)
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def successors(node: str) -> list[str]:
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return sorted(adjacency.get(node, frozenset()))
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# Iterative three-colour DFS (iterative to avoid recursion limits on long
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# dependency chains). GREY = on the current DFS path; a GREY successor is a
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# back-edge, i.e. a cycle.
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for root in sorted(color):
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if color[root] != WHITE:
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continue
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path: list[str] = [root]
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stack: list[tuple[str, list[str]]] = [(root, successors(root))]
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color[root] = GREY
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while stack:
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node, succs = stack[-1]
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descended = False
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while succs:
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nxt = succs.pop(0)
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state = color[nxt]
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if state == GREY:
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start = path.index(nxt)
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return tuple(path[start:] + [nxt])
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if state == WHITE:
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color[nxt] = GREY
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path.append(nxt)
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stack.append((nxt, successors(nxt)))
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descended = True
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break
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# BLACK: fully explored, no cycle through it — skip.
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if not descended:
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color[node] = BLACK
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path.pop()
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stack.pop()
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return None
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@ -19,6 +19,8 @@ from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Final, Literal, Union
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from generate.binding_graph.acyclicity import CIRCULAR_DEPENDENCY, find_cycle
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# ---------------------------------------------------------------------------
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# Public errors
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# ---------------------------------------------------------------------------
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@ -464,6 +466,24 @@ class SemanticSymbolicBindingGraph:
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f"{dep!r} (lhs={eq.lhs_symbol_id!r})"
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)
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# ADR-0203 — acyclicity invariant. Referential integrity (above) proves
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# every dependency names a known symbol; this proves the equation
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# dependency structure has no cycle. A cycle is circular reasoning
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# (conclude P because Q because P) — structurally well-formed, invalid.
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# The math adapter is acyclic by construction, so this refuses no
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# existing graph; it guards the structure before proof_chain (the first
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# consumer that could build a cycle) wires in. Multiple equations sharing
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# an lhs union their dependencies.
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adjacency: dict[str, set[str]] = {}
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for eq in self.equations:
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adjacency.setdefault(eq.lhs_symbol_id, set()).update(eq.dependencies)
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cycle = find_cycle({lhs: frozenset(deps) for lhs, deps in adjacency.items()})
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if cycle is not None:
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raise BindingGraphError(
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f"{CIRCULAR_DEPENDENCY}: equation dependency cycle "
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f"{' -> '.join(cycle)}"
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)
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equation_count = len(self.equations)
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for unk in self.unknowns:
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if unk.symbol_id not in known_ids:
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167
tests/test_binding_graph_acyclicity.py
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167
tests/test_binding_graph_acyclicity.py
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@ -0,0 +1,167 @@
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"""ADR-0203 — acyclicity guard for the binding-graph dependency structure.
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Two layers, both exercised here:
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1. The **pure checker** (`find_cycle`) in isolation against synthetic adjacency
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graphs — no binding-graph construction. Cyclic graphs return the cycle;
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acyclic graphs return None; fails-loud under mutation (the equivalent
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cyclic/acyclic assertions are mutually constraining, so a neutered detector
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fails the suite).
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2. The **construction-boundary enforcement** in
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`SemanticSymbolicBindingGraph.__post_init__` — a cyclic equation set raises
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`BindingGraphError(circular_dependency …)`; an acyclic set (including the
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math-adapter shape: fresh result symbol per op, deps point backward)
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constructs fine — the math-lane regression proof.
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"""
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from __future__ import annotations
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import pytest
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from generate.binding_graph import (
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CIRCULAR_DEPENDENCY,
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BindingGraphError,
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BoundEquation,
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SemanticSymbolicBindingGraph,
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SourceSpanLink,
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SymbolBinding,
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find_cycle,
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)
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# ---------------------------------------------------------------------------
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# Layer 1 — pure checker, isolated
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# ---------------------------------------------------------------------------
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ACYCLIC_GRAPHS = [
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{}, # empty
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{"a": frozenset()}, # single, no edges
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{"a": frozenset({"b"}), "b": frozenset({"c"})}, # linear chain
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{"a": frozenset({"b", "c"}), "b": frozenset({"d"}),
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"c": frozenset({"d"}), "d": frozenset()}, # diamond / shared dep
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{"a": frozenset({"b", "c", "d"})}, # leaves not defined by any eq
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]
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@pytest.mark.parametrize("graph", ACYCLIC_GRAPHS)
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def test_acyclic_graphs_return_none(graph) -> None:
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assert find_cycle(graph) is None
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CYCLIC_GRAPHS = [
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{"a": frozenset({"a"})}, # self-loop
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{"a": frozenset({"b"}), "b": frozenset({"a"})}, # 2-cycle
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{"a": frozenset({"b"}), "b": frozenset({"c"}),
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"c": frozenset({"a"})}, # 3-cycle
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{"t": frozenset({"a"}), "a": frozenset({"b"}),
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"b": frozenset({"c"}), "c": frozenset({"b"})}, # cycle with a tail (t→a→b→c→b)
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]
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@pytest.mark.parametrize("graph", CYCLIC_GRAPHS)
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def test_cyclic_graphs_are_detected(graph) -> None:
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cycle = find_cycle(graph)
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assert cycle is not None
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# A reported cycle closes on itself and every hop is a real edge.
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assert cycle[0] == cycle[-1]
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for src, dst in zip(cycle, cycle[1:]):
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assert dst in graph[src], f"{src}->{dst} is not an edge"
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def test_self_loop_reported_as_length_one_cycle() -> None:
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assert find_cycle({"x": frozenset({"x"})}) == ("x", "x")
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def test_reported_cycle_is_deterministic() -> None:
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graph = {"a": frozenset({"b"}), "b": frozenset({"c"}), "c": frozenset({"a"})}
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assert find_cycle(graph) == find_cycle(graph)
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# ---------------------------------------------------------------------------
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# Construction fixtures (mirror tests/test_binding_graph_model.py helpers)
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# ---------------------------------------------------------------------------
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def _span() -> SourceSpanLink:
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return SourceSpanLink(source_id="src", start=0, end=3, text="xyz")
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def _sym(symbol_id: str) -> SymbolBinding:
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return SymbolBinding(
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symbol_id=symbol_id,
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name=symbol_id,
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semantic_role="quantity",
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source_span=_span(),
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introduced_by="test",
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)
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def _eq(lhs: str, deps: set[str]) -> BoundEquation:
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return BoundEquation(
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lhs_symbol_id=lhs,
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rhs_canonical=f"{lhs} := f({sorted(deps)})",
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dependencies=frozenset(deps),
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operation_kind="add",
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unit_proof="pending",
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admissibility_status="pending",
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source_span=_span(),
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)
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# ---------------------------------------------------------------------------
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# Layer 2 — enforcement at the shared construction boundary
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# ---------------------------------------------------------------------------
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def test_acyclic_equation_set_constructs() -> None:
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# r1 := f(x); r2 := f(r1, y) — strict DAG, edges point backward.
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syms = tuple(_sym(s) for s in ("x", "y", "r1", "r2"))
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eqs = (_eq("r1", {"x"}), _eq("r2", {"r1", "y"}))
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graph = SemanticSymbolicBindingGraph(symbols=syms, equations=eqs)
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assert len(graph.equations) == 2
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def test_adapter_shape_is_acyclic_by_construction() -> None:
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# Mirrors the math adapter: each op result depends only on prior symbols.
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syms = tuple(_sym(s) for s in ("q0", "q1", "op_0", "op_1"))
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eqs = (
|
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_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)
|
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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)
|
||||
Loading…
Reference in a new issue