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FA-22756 / Autocomplete interactions / Open access

Autocomplete form binding: form reset clears rather than restores the initial selection · case 01

The reset-id completion transition produces an incorrect observable state.

Verified by executionVariant 1 · 22 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

At form-binding/reset-id, the implementation evaluates `None` instead of preserving the specified completion transition.

THE FAILURE

At form-binding/reset-id, the implementation evaluates `None` instead of preserving the specified completion transition.

Unsuccessful approach: The attempted repair uses `d['value']`, which still violates a normal or boundary completion fixture.

Case contract

Form submission serializes committed suggestion identifiers separately from visible draft text. Required checks apply to committed values, an empty-string identifier is present, disabled fields are omitted, and reset restores the initial identity and label together. Multi-value fields preserve separate values.

Why this case matters

Autocomplete couples draft text, suggestion identity and asynchronous presentation; this bounded lifecycle model isolates one observable interaction defect.

1 / The failure

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

N = 1
observations = []
def solve(event, d):
    if event == 'serialize': return d['value']
    if event == 'present': return d['value'] is not None
    if event == 'disabled': return [] if d['disabled'] else [[d['name'],d['value']]]
    if event == 'reset-id': return None
    if event == 'reset-label': return d['initial_label']
    if event == 'reset-baseline': return [d['initial'],d['initial_label']]
    if event == 'many': return [[d['name'],x] for x in d['values']]
    if event == 'dirty': return d['draft']!=d['label']
    if event == 'display-field': return d['name']
    if event == 'reset-draft': return {'draft':d['initial_label'],'active':None}
    return {'unchanged': True}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
normal = {'value':'p1','label':'Pear','draft':'peach','initial':'p0','initial_label':'Plum','name':'fruit','disabled':True,'required':True,'values':['a','b'],'epoch':N}
boundary = {'value':'','label':'','draft':'x','initial':None,'initial_label':'','name':'fruit','disabled':False,'required':True,'values':[],'epoch':N}
check('normal serialize', solve('serialize', normal), 'p1')
check('boundary serialize', solve('serialize', boundary), '')
check('normal present', solve('present', normal), True)
check('boundary present', solve('present', boundary), True)
check('normal disabled', solve('disabled', normal), [])
check('boundary disabled', solve('disabled', boundary), [['fruit','']])
check('normal reset-id', solve('reset-id', normal), 'p0')
check('boundary reset-id', solve('reset-id', boundary), None)
check('normal reset-label', solve('reset-label', normal), 'Plum')
check('boundary reset-label', solve('reset-label', boundary), '')
check('normal reset-baseline', solve('reset-baseline', normal), ['p0','Plum'])
check('boundary reset-baseline', solve('reset-baseline', boundary), [None,''])
check('normal many', solve('many', normal), [['fruit','a'],['fruit','b']])
check('boundary many', solve('many', boundary), [])
check('normal dirty', solve('dirty', normal), True)
check('boundary dirty', solve('dirty', boundary), True)
check('normal display-field', solve('display-field', normal), 'fruit')
check('boundary display-field', solve('display-field', boundary), 'fruit')
check('normal reset-draft', solve('reset-draft', normal), {'draft':'Plum','active':None})
check('boundary reset-draft', solve('reset-draft', boundary), {'draft':'','active':None})
variant = dict(normal, **{'value':'id'+str(N)})
check('variant query or selection payload', solve('serialize', variant), 'id'+str(N))
check('unknown completion event', solve('unrecognized', normal), {'unchanged': True})
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
normal serializep1p1Passed
boundary serializePassed
normal presentTrueTruePassed
boundary presentTrueTruePassed
normal disabled[][]Passed
boundary disabled[['fruit', '']][['fruit', '']]Passed
normal reset-idNonep0Failed
boundary reset-idNoneNonePassed
normal reset-labelPlumPlumPassed
boundary reset-labelPassed
normal reset-baseline['p0', 'Plum']['p0', 'Plum']Passed
boundary reset-baseline[None, ''][None, '']Passed
normal many[['fruit', 'a'], ['fruit', 'b']][['fruit', 'a'], ['fruit', 'b']]Passed
boundary many[][]Passed
normal dirtyTrueTruePassed
boundary dirtyTrueTruePassed
normal display-fieldfruitfruitPassed
boundary display-fieldfruitfruitPassed
normal reset-draft{'active': None, 'draft': 'Plum'}{'active': None, 'draft': 'Plum'}Passed
boundary reset-draft{'active': None, 'draft': ''}{'active': None, 'draft': ''}Passed
variant query or selection payloadid1id1Passed
unknown completion event{'unchanged': True}{'unchanged': True}Passed

SHA-256 / 2ff72745de68be5455de5f545ef5e448505ebbc027e0b69eef001af0064c3c30

2 / The unsuccessful fix

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

N = 1
observations = []
def solve(event, d):
    if event == 'serialize': return d['value']
    if event == 'present': return d['value'] is not None
    if event == 'disabled': return [] if d['disabled'] else [[d['name'],d['value']]]
    if event == 'reset-id': return d['value']
    if event == 'reset-label': return d['initial_label']
    if event == 'reset-baseline': return [d['initial'],d['initial_label']]
    if event == 'many': return [[d['name'],x] for x in d['values']]
    if event == 'dirty': return d['draft']!=d['label']
    if event == 'display-field': return d['name']
    if event == 'reset-draft': return {'draft':d['initial_label'],'active':None}
    return {'unchanged': True}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
normal = {'value':'p1','label':'Pear','draft':'peach','initial':'p0','initial_label':'Plum','name':'fruit','disabled':True,'required':True,'values':['a','b'],'epoch':N}
boundary = {'value':'','label':'','draft':'x','initial':None,'initial_label':'','name':'fruit','disabled':False,'required':True,'values':[],'epoch':N}
check('normal serialize', solve('serialize', normal), 'p1')
check('boundary serialize', solve('serialize', boundary), '')
check('normal present', solve('present', normal), True)
check('boundary present', solve('present', boundary), True)
check('normal disabled', solve('disabled', normal), [])
check('boundary disabled', solve('disabled', boundary), [['fruit','']])
check('normal reset-id', solve('reset-id', normal), 'p0')
check('boundary reset-id', solve('reset-id', boundary), None)
check('normal reset-label', solve('reset-label', normal), 'Plum')
check('boundary reset-label', solve('reset-label', boundary), '')
check('normal reset-baseline', solve('reset-baseline', normal), ['p0','Plum'])
check('boundary reset-baseline', solve('reset-baseline', boundary), [None,''])
check('normal many', solve('many', normal), [['fruit','a'],['fruit','b']])
check('boundary many', solve('many', boundary), [])
check('normal dirty', solve('dirty', normal), True)
check('boundary dirty', solve('dirty', boundary), True)
check('normal display-field', solve('display-field', normal), 'fruit')
check('boundary display-field', solve('display-field', boundary), 'fruit')
check('normal reset-draft', solve('reset-draft', normal), {'draft':'Plum','active':None})
check('boundary reset-draft', solve('reset-draft', boundary), {'draft':'','active':None})
variant = dict(normal, **{'value':'id'+str(N)})
check('variant query or selection payload', solve('serialize', variant), 'id'+str(N))
check('unknown completion event', solve('unrecognized', normal), {'unchanged': True})
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
normal serializep1p1Passed
boundary serializePassed
normal presentTrueTruePassed
boundary presentTrueTruePassed
normal disabled[][]Passed
boundary disabled[['fruit', '']][['fruit', '']]Passed
normal reset-idp1p0Failed
boundary reset-idNoneFailed
normal reset-labelPlumPlumPassed
boundary reset-labelPassed
normal reset-baseline['p0', 'Plum']['p0', 'Plum']Passed
boundary reset-baseline[None, ''][None, '']Passed
normal many[['fruit', 'a'], ['fruit', 'b']][['fruit', 'a'], ['fruit', 'b']]Passed
boundary many[][]Passed
normal dirtyTrueTruePassed
boundary dirtyTrueTruePassed
normal display-fieldfruitfruitPassed
boundary display-fieldfruitfruitPassed
normal reset-draft{'active': None, 'draft': 'Plum'}{'active': None, 'draft': 'Plum'}Passed
boundary reset-draft{'active': None, 'draft': ''}{'active': None, 'draft': ''}Passed
variant query or selection payloadid1id1Passed
unknown completion event{'unchanged': True}{'unchanged': True}Passed

SHA-256 / bc09aa505ca997472b4d7b96c56dabdaa992877bc3b0ec000d5efa40b35352a1

HELD IN THE MEMBER ARCHIVE

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

This mechanism has 22 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.

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Verification & scope

Stipulated deterministic widget transition model; inputs are validated snapshots. It does not model browser event dispatch, network transport, or linguistic standards. 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 2026-09-29T14:40:41.605545+00:00.

Case digest / d71cbc1b5b06a4fde717ac1b51ad674d4cccb52cbbc66bb272cd6408b7d030a3