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Two pattern alternatives bind one name with incompatible ownership modes · case 01

Two pattern alternatives bind one name with incompatible ownership modes.

Verified by executionVariant 1 · 21 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The static analyzer mishandles alternative mode agreement: two pattern alternatives bind one name with incompatible ownership modes.

THE FAILURE

The static analyzer mishandles alternative mode agreement: two pattern alternatives bind one name with incompatible ownership modes.

Unsuccessful approach: The partial repair uses if len(d['arm_modes'])>2 and d['arm_modes'][0]!=d['arm_modes'][-1]: errors.append('alternative-mode-agreement'), which still violates the stipulated analysis contract.

Case contract

Check a toy destructuring pattern after type resolution. Binding names unique; alternatives bind identical name sets and modes; mutable reference binding needs mutable access; an explicit dereference pattern cannot move a noncopy referent; rest binding cannot overlap explicitly bound array positions; union fields require an explicit unsafe pattern; bindings introduced in a guard cannot escape guard region; simultaneous move and borrow of overlapping prefix places forbidden; a reference default binding mode cannot be reset implicitly by a plain identifier. Input is a fully explicit descriptor of the stated toy IR. Return rule identifiers in declaration order; absent optional obligations use the provided neutral defaults. No rule is an assertion about a production language.

Why this case matters

A finite offline static-analysis model of ownership and borrowing; it does not execute the analyzed program.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(d):
    errors=[]
    if len(d['names'])!=len(set(d['names'])): errors.append('binding-uniqueness')
    if any(set(x)!=set(d['names']) for x in d['arm_names']): errors.append('alternative-name-agreement')
    if False: errors.append('alternative-mode-agreement')
    if not set(d['mut_refs'])<=set(d['mutable']): errors.append('mutable-binding')
    if not set(d['deref_moves'])<=set(d['copy']): errors.append('deref-move')
    if bool(set(d['rest'])&set(d['positions'])): errors.append('rest-disjointness')
    if d['union'] and not d['unsafe']: errors.append('union-pattern')
    if bool(set(d['guard_bindings'])&set(d['escaping'])): errors.append('guard-scope')
    if any(a==b or a.startswith(b+'.') or b.startswith(a+'.') for a in d['moves'] for b in d['borrows']): errors.append('move-borrow-overlap')
    if d['default_ref'] and bool(d['implicit_value']): errors.append('default-mode-reset')
    return errors
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
base={'names': [], 'arm_names': [], 'arm_modes': [], 'mut_refs': [], 'mutable': [], 'deref_moves': [], 'copy': [], 'rest': [], 'positions': [], 'union': False, 'unsafe': False, 'guard_bindings': [], 'escaping': [], 'moves': [], 'borrows': [], 'default_ref': False, 'implicit_value': []}
check('well formed empty obligations',solve(base),[])
check('binding-uniqueness regression 0', solve(dict(base, **({'names':['x','x']}))), ['binding-uniqueness'])
check('binding-uniqueness regression 1', solve(dict(base, **({'names':[N,N]}))), ['binding-uniqueness'])
check('alternative-name-agreement regression 0', solve(dict(base, **({'names':['x'],'arm_names':[['x'],['y']]}))), ['alternative-name-agreement'])
check('alternative-name-agreement regression 1', solve(dict(base, **({'names':[N],'arm_names':[[N],[N+1]]}))), ['alternative-name-agreement'])
check('alternative-mode-agreement regression 0', solve(dict(base, **({'arm_modes':['ref','move']}))), ['alternative-mode-agreement'])
check('alternative-mode-agreement regression 1', solve(dict(base, **({'arm_modes':['ref','mut']}))), ['alternative-mode-agreement'])
check('mutable-binding regression 0', solve(dict(base, **({'mut_refs':['a','b'],'mutable':['a']}))), ['mutable-binding'])
check('mutable-binding regression 1', solve(dict(base, **({'mut_refs':[N],'mutable':[N+1]}))), ['mutable-binding'])
check('deref-move regression 0', solve(dict(base, **({'deref_moves':['a','b'],'copy':['a']}))), ['deref-move'])
check('deref-move regression 1', solve(dict(base, **({'deref_moves':[N,N+1],'copy':[N]}))), ['deref-move'])
check('rest-disjointness regression 0', solve(dict(base, **({'rest':[N,N+1],'positions':[N+1]}))), ['rest-disjointness'])
check('rest-disjointness regression 1', solve(dict(base, **({'rest':[N,N+1,N+2],'positions':[N]}))), ['rest-disjointness'])
check('union-pattern regression 0', solve(dict(base, **({'union':True}))), ['union-pattern'])
check('union-pattern regression 1', solve(dict(base, **({'union':True,'positions':list(range(N))}))), ['union-pattern'])
check('guard-scope regression 0', solve(dict(base, **({'guard_bindings':['r'],'escaping':['r']}))), ['guard-scope'])
check('guard-scope regression 1', solve(dict(base, **({'guard_bindings':[N],'escaping':[N]}))), ['guard-scope'])
check('move-borrow-overlap regression 0', solve(dict(base, **({'moves':['r'],'borrows':['r.f']}))), ['move-borrow-overlap'])
check('move-borrow-overlap regression 1', solve(dict(base, **({'moves':['r.f.g'],'borrows':['r.f']}))), ['move-borrow-overlap'])
check('default-mode-reset regression 0', solve(dict(base, **({'default_ref':True,'implicit_value':['x']}))), ['default-mode-reset'])
check('default-mode-reset regression 1', solve(dict(base, **({'default_ref':True,'implicit_value':[N]}))), ['default-mode-reset'])
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
well formed empty obligations[][]Passed
binding-uniqueness regression 0['binding-uniqueness']['binding-uniqueness']Passed
binding-uniqueness regression 1['binding-uniqueness']['binding-uniqueness']Passed
alternative-name-agreement regression 0['alternative-name-agreement']['alternative-name-agreement']Passed
alternative-name-agreement regression 1['alternative-name-agreement']['alternative-name-agreement']Passed
alternative-mode-agreement regression 0[]['alternative-mode-agreement']Failed
alternative-mode-agreement regression 1[]['alternative-mode-agreement']Failed
mutable-binding regression 0['mutable-binding']['mutable-binding']Passed
mutable-binding regression 1['mutable-binding']['mutable-binding']Passed
deref-move regression 0['deref-move']['deref-move']Passed
deref-move regression 1['deref-move']['deref-move']Passed
rest-disjointness regression 0['rest-disjointness']['rest-disjointness']Passed
rest-disjointness regression 1['rest-disjointness']['rest-disjointness']Passed
union-pattern regression 0['union-pattern']['union-pattern']Passed
union-pattern regression 1['union-pattern']['union-pattern']Passed
guard-scope regression 0['guard-scope']['guard-scope']Passed
guard-scope regression 1['guard-scope']['guard-scope']Passed
move-borrow-overlap regression 0['move-borrow-overlap']['move-borrow-overlap']Passed
move-borrow-overlap regression 1['move-borrow-overlap']['move-borrow-overlap']Passed
default-mode-reset regression 0['default-mode-reset']['default-mode-reset']Passed
default-mode-reset regression 1['default-mode-reset']['default-mode-reset']Passed

SHA-256 / 8d789f748a2d8b565e808cbcf4d4b87bbcf03f1a840dd11fef5493315bb3d277

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(d):
    errors=[]
    if len(d['names'])!=len(set(d['names'])): errors.append('binding-uniqueness')
    if any(set(x)!=set(d['names']) for x in d['arm_names']): errors.append('alternative-name-agreement')
    if len(d['arm_modes'])>2 and d['arm_modes'][0]!=d['arm_modes'][-1]: errors.append('alternative-mode-agreement')
    if not set(d['mut_refs'])<=set(d['mutable']): errors.append('mutable-binding')
    if not set(d['deref_moves'])<=set(d['copy']): errors.append('deref-move')
    if bool(set(d['rest'])&set(d['positions'])): errors.append('rest-disjointness')
    if d['union'] and not d['unsafe']: errors.append('union-pattern')
    if bool(set(d['guard_bindings'])&set(d['escaping'])): errors.append('guard-scope')
    if any(a==b or a.startswith(b+'.') or b.startswith(a+'.') for a in d['moves'] for b in d['borrows']): errors.append('move-borrow-overlap')
    if d['default_ref'] and bool(d['implicit_value']): errors.append('default-mode-reset')
    return errors
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
base={'names': [], 'arm_names': [], 'arm_modes': [], 'mut_refs': [], 'mutable': [], 'deref_moves': [], 'copy': [], 'rest': [], 'positions': [], 'union': False, 'unsafe': False, 'guard_bindings': [], 'escaping': [], 'moves': [], 'borrows': [], 'default_ref': False, 'implicit_value': []}
check('well formed empty obligations',solve(base),[])
check('binding-uniqueness regression 0', solve(dict(base, **({'names':['x','x']}))), ['binding-uniqueness'])
check('binding-uniqueness regression 1', solve(dict(base, **({'names':[N,N]}))), ['binding-uniqueness'])
check('alternative-name-agreement regression 0', solve(dict(base, **({'names':['x'],'arm_names':[['x'],['y']]}))), ['alternative-name-agreement'])
check('alternative-name-agreement regression 1', solve(dict(base, **({'names':[N],'arm_names':[[N],[N+1]]}))), ['alternative-name-agreement'])
check('alternative-mode-agreement regression 0', solve(dict(base, **({'arm_modes':['ref','move']}))), ['alternative-mode-agreement'])
check('alternative-mode-agreement regression 1', solve(dict(base, **({'arm_modes':['ref','mut']}))), ['alternative-mode-agreement'])
check('mutable-binding regression 0', solve(dict(base, **({'mut_refs':['a','b'],'mutable':['a']}))), ['mutable-binding'])
check('mutable-binding regression 1', solve(dict(base, **({'mut_refs':[N],'mutable':[N+1]}))), ['mutable-binding'])
check('deref-move regression 0', solve(dict(base, **({'deref_moves':['a','b'],'copy':['a']}))), ['deref-move'])
check('deref-move regression 1', solve(dict(base, **({'deref_moves':[N,N+1],'copy':[N]}))), ['deref-move'])
check('rest-disjointness regression 0', solve(dict(base, **({'rest':[N,N+1],'positions':[N+1]}))), ['rest-disjointness'])
check('rest-disjointness regression 1', solve(dict(base, **({'rest':[N,N+1,N+2],'positions':[N]}))), ['rest-disjointness'])
check('union-pattern regression 0', solve(dict(base, **({'union':True}))), ['union-pattern'])
check('union-pattern regression 1', solve(dict(base, **({'union':True,'positions':list(range(N))}))), ['union-pattern'])
check('guard-scope regression 0', solve(dict(base, **({'guard_bindings':['r'],'escaping':['r']}))), ['guard-scope'])
check('guard-scope regression 1', solve(dict(base, **({'guard_bindings':[N],'escaping':[N]}))), ['guard-scope'])
check('move-borrow-overlap regression 0', solve(dict(base, **({'moves':['r'],'borrows':['r.f']}))), ['move-borrow-overlap'])
check('move-borrow-overlap regression 1', solve(dict(base, **({'moves':['r.f.g'],'borrows':['r.f']}))), ['move-borrow-overlap'])
check('default-mode-reset regression 0', solve(dict(base, **({'default_ref':True,'implicit_value':['x']}))), ['default-mode-reset'])
check('default-mode-reset regression 1', solve(dict(base, **({'default_ref':True,'implicit_value':[N]}))), ['default-mode-reset'])
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
well formed empty obligations[][]Passed
binding-uniqueness regression 0['binding-uniqueness']['binding-uniqueness']Passed
binding-uniqueness regression 1['binding-uniqueness']['binding-uniqueness']Passed
alternative-name-agreement regression 0['alternative-name-agreement']['alternative-name-agreement']Passed
alternative-name-agreement regression 1['alternative-name-agreement']['alternative-name-agreement']Passed
alternative-mode-agreement regression 0[]['alternative-mode-agreement']Failed
alternative-mode-agreement regression 1[]['alternative-mode-agreement']Failed
mutable-binding regression 0['mutable-binding']['mutable-binding']Passed
mutable-binding regression 1['mutable-binding']['mutable-binding']Passed
deref-move regression 0['deref-move']['deref-move']Passed
deref-move regression 1['deref-move']['deref-move']Passed
rest-disjointness regression 0['rest-disjointness']['rest-disjointness']Passed
rest-disjointness regression 1['rest-disjointness']['rest-disjointness']Passed
union-pattern regression 0['union-pattern']['union-pattern']Passed
union-pattern regression 1['union-pattern']['union-pattern']Passed
guard-scope regression 0['guard-scope']['guard-scope']Passed
guard-scope regression 1['guard-scope']['guard-scope']Passed
move-borrow-overlap regression 0['move-borrow-overlap']['move-borrow-overlap']Passed
move-borrow-overlap regression 1['move-borrow-overlap']['move-borrow-overlap']Passed
default-mode-reset regression 0['default-mode-reset']['default-mode-reset']Passed
default-mode-reset regression 1['default-mode-reset']['default-mode-reset']Passed

SHA-256 / 9fdf8442149d442105f3fe525e5b15c2db240d20a3a912afd7ef0c397a80a616

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 21 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.

Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.

Member access is invitation-based. Sign in with your invited account to inspect the repair.

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Verification & scope

The explicitly stated toy language is the complete scope; this is not a production compiler or a claim about Rust semantics. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.

Observations recorded using Python 3.12.14 at 2026-09-29T14:44:00.173676+00:00.

Case digest / 0963bfe6e20023d2f614d515963aab3b534046c1078258ccc672f902f96b6d6d