FA-31101 / Keyboard interactions / Open access
Tap versus hold command arbitration: Hold eligibility uses an exclusive boundary or absolute timestamp · case 01
The event trace violates the tick threshold rule and produces incorrect keyboard state or command output.
ROOT CAUSE
Hold eligibility uses an exclusive boundary or absolute timestamp.
VERIFIED REPAIR
Use the contract transition `now-start>=threshold: output` at the tick threshold fault site; preserve the other state transitions.
Unsuccessful approach: The partial repair changes this transition to now>=threshold: output, which still violates the model contract on the explicit regression traces.
Case contract
Case [threshold,events]. Events [kind,key,time]. Down arms an unarmed key. Tick emits hold once when age >= threshold. Up before threshold emits tap, at or after threshold emits hold if not yet emitted. Cancel removes just one key silently. Return output and pending [key,start,held] entries. Inputs are finite ordered event traces; return the stated deterministic state. Batch entries are independent. N varies the number of independent input transactions.
Why this case matters
Controlled keyboard event processing model for debugging application event logic.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(cases):
def run(c):
threshold,events=c
pending={}; output=[]
for kind,key,now in events:
if kind=='down' and key not in pending:
pending[key]=[now,False]
elif kind=='tick':
for k in sorted(pending):
start,sent=pending[k]
if not sent and now-start>threshold:
output.append(['hold',k])
pending[k][1]=True
elif kind=='up' and key in pending:
start,sent=pending[key]
if not sent:
output.append(['hold' if now-start>=threshold else 'tap',key])
del pending[key]
elif kind=='cancel':
pending.pop(key,None)
return [output,sorted([[k]+v for k,v in pending.items()])]
return [run(c) for c in cases]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('hold-threshold scenario 0', solve([[5, []]] * N), [[[], []]] * N)
check('hold-threshold scenario 1', solve([[5, [['down', 'A', 10], ['tick', '', 12]]]] * N), [[[], [['A', 10, False]]]] * N)
check('hold-threshold scenario 2', solve([[5, [['down', 'A', 10], ['up', 'A', 12]]]] * N), [[[['tap', 'A']], []]] * N)
check('hold-threshold scenario 3', solve([[5, [['down', 'A', 10], ['up', 'A', 15]]]] * N), [[[['hold', 'A']], []]] * N)
check('hold-threshold scenario 4', solve([[5, [['down', 'A', 10], ['tick', '', 15], ['tick', '', 16], ['up', 'A', 17]]]] * N), [[[['hold', 'A']], []]] * N)
check('hold-threshold scenario 5', solve([[5, [['down', 'A', 10], ['down', 'A', 13], ['tick', '', 15]]]] * N), [[[['hold', 'A']], [['A', 10, True]]]] * N)
check('hold-threshold scenario 6', solve([[5, [['down', 'A', 10], ['down', 'B', 11], ['up', 'A', 12]]]] * N), [[[['tap', 'A']], [['B', 11, False]]]] * N)
check('hold-threshold scenario 7', solve([[5, [['down', 'A', 10], ['down', 'B', 11], ['cancel', 'A', 12], ['tick', '', 16]]]] * N), [[[['hold', 'B']], [['B', 11, True]]]] * N)
check('hold-threshold scenario 8', solve([[5, [['up', 'A', 100]]]] * N), [[[], []]] * N)
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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| hold-threshold scenario 0 | [[[], []]] | [[[], []]] | Passed |
| hold-threshold scenario 1 | [[[], [['A', 10, False]]]] | [[[], [['A', 10, False]]]] | Passed |
| hold-threshold scenario 2 | [[[['tap', 'A']], []]] | [[[['tap', 'A']], []]] | Passed |
| hold-threshold scenario 3 | [[[['hold', 'A']], []]] | [[[['hold', 'A']], []]] | Passed |
| hold-threshold scenario 4 | [[[['hold', 'A']], []]] | [[[['hold', 'A']], []]] | Passed |
| hold-threshold scenario 5 | [[[], [['A', 10, False]]]] | [[[['hold', 'A']], [['A', 10, True]]]] | Failed |
| hold-threshold scenario 6 | [[[['tap', 'A']], [['B', 11, False]]]] | [[[['tap', 'A']], [['B', 11, False]]]] | Passed |
| hold-threshold scenario 7 | [[[], [['B', 11, False]]]] | [[[['hold', 'B']], [['B', 11, True]]]] | Failed |
| hold-threshold scenario 8 | [[[], []]] | [[[], []]] | Passed |
SHA-256 / 1ea3013807f0d4617edff601c833db5331b3dd77f1c2c1a550440f77af38c9bb
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(cases):
def run(c):
threshold,events=c
pending={}; output=[]
for kind,key,now in events:
if kind=='down' and key not in pending:
pending[key]=[now,False]
elif kind=='tick':
for k in sorted(pending):
start,sent=pending[k]
if not sent and now>=threshold:
output.append(['hold',k])
pending[k][1]=True
elif kind=='up' and key in pending:
start,sent=pending[key]
if not sent:
output.append(['hold' if now-start>=threshold else 'tap',key])
del pending[key]
elif kind=='cancel':
pending.pop(key,None)
return [output,sorted([[k]+v for k,v in pending.items()])]
return [run(c) for c in cases]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('hold-threshold scenario 0', solve([[5, []]] * N), [[[], []]] * N)
check('hold-threshold scenario 1', solve([[5, [['down', 'A', 10], ['tick', '', 12]]]] * N), [[[], [['A', 10, False]]]] * N)
check('hold-threshold scenario 2', solve([[5, [['down', 'A', 10], ['up', 'A', 12]]]] * N), [[[['tap', 'A']], []]] * N)
check('hold-threshold scenario 3', solve([[5, [['down', 'A', 10], ['up', 'A', 15]]]] * N), [[[['hold', 'A']], []]] * N)
check('hold-threshold scenario 4', solve([[5, [['down', 'A', 10], ['tick', '', 15], ['tick', '', 16], ['up', 'A', 17]]]] * N), [[[['hold', 'A']], []]] * N)
check('hold-threshold scenario 5', solve([[5, [['down', 'A', 10], ['down', 'A', 13], ['tick', '', 15]]]] * N), [[[['hold', 'A']], [['A', 10, True]]]] * N)
check('hold-threshold scenario 6', solve([[5, [['down', 'A', 10], ['down', 'B', 11], ['up', 'A', 12]]]] * N), [[[['tap', 'A']], [['B', 11, False]]]] * N)
check('hold-threshold scenario 7', solve([[5, [['down', 'A', 10], ['down', 'B', 11], ['cancel', 'A', 12], ['tick', '', 16]]]] * N), [[[['hold', 'B']], [['B', 11, True]]]] * N)
check('hold-threshold scenario 8', solve([[5, [['up', 'A', 100]]]] * N), [[[], []]] * N)
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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| hold-threshold scenario 0 | [[[], []]] | [[[], []]] | Passed |
| hold-threshold scenario 1 | [[[['hold', 'A']], [['A', 10, True]]]] | [[[], [['A', 10, False]]]] | Failed |
| hold-threshold scenario 2 | [[[['tap', 'A']], []]] | [[[['tap', 'A']], []]] | Passed |
| hold-threshold scenario 3 | [[[['hold', 'A']], []]] | [[[['hold', 'A']], []]] | Passed |
| hold-threshold scenario 4 | [[[['hold', 'A']], []]] | [[[['hold', 'A']], []]] | Passed |
| hold-threshold scenario 5 | [[[['hold', 'A']], [['A', 10, True]]]] | [[[['hold', 'A']], [['A', 10, True]]]] | Passed |
| hold-threshold scenario 6 | [[[['tap', 'A']], [['B', 11, False]]]] | [[[['tap', 'A']], [['B', 11, False]]]] | Passed |
| hold-threshold scenario 7 | [[[['hold', 'B']], [['B', 11, True]]]] | [[[['hold', 'B']], [['B', 11, True]]]] | Passed |
| hold-threshold scenario 8 | [[[], []]] | [[[], []]] | Passed |
SHA-256 / f4020b15a90a712bad003b33ecc0abfa478f06b646200564dce88dd6082591ed
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(cases):
def run(c):
threshold,events=c
pending={}; output=[]
for kind,key,now in events:
if kind=='down' and key not in pending:
pending[key]=[now,False]
elif kind=='tick':
for k in sorted(pending):
start,sent=pending[k]
if not sent and now-start>=threshold:
output.append(['hold',k])
pending[k][1]=True
elif kind=='up' and key in pending:
start,sent=pending[key]
if not sent:
output.append(['hold' if now-start>=threshold else 'tap',key])
del pending[key]
elif kind=='cancel':
pending.pop(key,None)
return [output,sorted([[k]+v for k,v in pending.items()])]
return [run(c) for c in cases]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('hold-threshold scenario 0', solve([[5, []]] * N), [[[], []]] * N)
check('hold-threshold scenario 1', solve([[5, [['down', 'A', 10], ['tick', '', 12]]]] * N), [[[], [['A', 10, False]]]] * N)
check('hold-threshold scenario 2', solve([[5, [['down', 'A', 10], ['up', 'A', 12]]]] * N), [[[['tap', 'A']], []]] * N)
check('hold-threshold scenario 3', solve([[5, [['down', 'A', 10], ['up', 'A', 15]]]] * N), [[[['hold', 'A']], []]] * N)
check('hold-threshold scenario 4', solve([[5, [['down', 'A', 10], ['tick', '', 15], ['tick', '', 16], ['up', 'A', 17]]]] * N), [[[['hold', 'A']], []]] * N)
check('hold-threshold scenario 5', solve([[5, [['down', 'A', 10], ['down', 'A', 13], ['tick', '', 15]]]] * N), [[[['hold', 'A']], [['A', 10, True]]]] * N)
check('hold-threshold scenario 6', solve([[5, [['down', 'A', 10], ['down', 'B', 11], ['up', 'A', 12]]]] * N), [[[['tap', 'A']], [['B', 11, False]]]] * N)
check('hold-threshold scenario 7', solve([[5, [['down', 'A', 10], ['down', 'B', 11], ['cancel', 'A', 12], ['tick', '', 16]]]] * N), [[[['hold', 'B']], [['B', 11, True]]]] * N)
check('hold-threshold scenario 8', solve([[5, [['up', 'A', 100]]]] * N), [[[], []]] * N)
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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| hold-threshold scenario 0 | [[[], []]] | [[[], []]] | Passed |
| hold-threshold scenario 1 | [[[], [['A', 10, False]]]] | [[[], [['A', 10, False]]]] | Passed |
| hold-threshold scenario 2 | [[[['tap', 'A']], []]] | [[[['tap', 'A']], []]] | Passed |
| hold-threshold scenario 3 | [[[['hold', 'A']], []]] | [[[['hold', 'A']], []]] | Passed |
| hold-threshold scenario 4 | [[[['hold', 'A']], []]] | [[[['hold', 'A']], []]] | Passed |
| hold-threshold scenario 5 | [[[['hold', 'A']], [['A', 10, True]]]] | [[[['hold', 'A']], [['A', 10, True]]]] | Passed |
| hold-threshold scenario 6 | [[[['tap', 'A']], [['B', 11, False]]]] | [[[['tap', 'A']], [['B', 11, False]]]] | Passed |
| hold-threshold scenario 7 | [[[['hold', 'B']], [['B', 11, True]]]] | [[[['hold', 'B']], [['B', 11, True]]]] | Passed |
| hold-threshold scenario 8 | [[[], []]] | [[[], []]] | Passed |
SHA-256 / 3559c584388395b9ad7f21e5c69727bd641bfedebef31b5afa7ed39ccfc09a19
Verification & scope
Offline stipulated event model, not a browser implementation or web standard conformance claim. 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 2026-09-29T14:41:59.006983+00:00.
Case digest / 0d3a4ff860602e21ffa79460189716401107508fa797eb829b20eca9253924fd