FA-31676 / Keyboard interactions / Open access
Per-switch keyboard scan debounce: Committed switch level disagrees with its emitted edge · case 01
The event trace violates the stable commit rule and produces incorrect keyboard state or command output.
ROOT CAUSE
Committed switch level disagrees with its emitted edge.
THE FAILURE
Committed switch level disagrees with its emitted edge.
Unsuccessful approach: The partial repair changes this transition to stable[key]=True, which still violates the model contract on the explicit regression traces.
Case contract
Case [threshold,scans]. Each scan is [time,sorted_pressed_keys] and times increase. A raw transition starts a candidate timer; a candidate becomes stable after continuously present for threshold time including exact boundary. Each scan considers every known or raw key. Emit [key,down_or_up,time] on stable transitions; return emissions plus stable pressed keys. Missing keys are raw up. 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,scans=c
stable={}; candidate={}; since={}; output=[]
for now,pressed in scans:
raw=set(pressed)
keys=sorted(set(stable)|set(candidate)|raw)
for key in keys:
value=key in raw
if key not in candidate or candidate[key]!=value:
candidate[key]=value
since[key]=now
if now-since[key]>=threshold and stable.get(key,False)!=value:
stable[key]=not value
output.append([key,'down' if value else 'up',now])
return [output,sorted(k for k,v in stable.items() if v)]
return [run(c) for c in cases]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('key-debounce scenario 0', solve([[3, []]] * N), [[[], []]] * N)
check('key-debounce scenario 1', solve([[3, [[10, ['A']], [12, ['A']], [13, ['A']], [14, ['A']]]]] * N), [[[['A', 'down', 13]], ['A']]] * N)
check('key-debounce scenario 2', solve([[3, [[10, ['A']], [13, ['A']], [14, []], [17, []]]]] * N), [[[['A', 'down', 13], ['A', 'up', 17]], []]] * N)
check('key-debounce scenario 3', solve([[3, [[10, ['A']], [11, []], [12, ['A']], [14, ['A']], [15, ['A']]]]] * N), [[[['A', 'down', 15]], ['A']]] * N)
check('key-debounce scenario 4', solve([[3, [[10, ['A']], [13, ['A']], [14, ['B']], [17, ['B']]]]] * N), [[[['A', 'down', 13], ['A', 'up', 17], ['B', 'down', 17]], ['B']]] * N)
check('key-debounce scenario 5', solve([[3, [[10, ['A']], [11, []], [14, []]]]] * N), [[[], []]] * N)
check('key-debounce scenario 6', solve([[3, [[10, []], [20, ['A', 'B']], [23, ['A', 'B']], [24, ['B']], [27, ['B']]]]] * N), [[[['A', 'down', 23], ['B', 'down', 23], ['A', 'up', 27]], ['B']]] * N)
check('key-debounce scenario 7', solve([[3, [[10, ['A']], [13, ['A']], [14, []], [15, ['A']], [18, ['A']]]]] * N), [[[['A', 'down', 13]], ['A']]] * 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 |
|---|---|---|---|
| key-debounce scenario 0 | [[[], []]] | [[[], []]] | Passed |
| key-debounce scenario 1 | [[[['A', 'down', 13], ['A', 'down', 14]], []]] | [[[['A', 'down', 13]], ['A']]] | Failed |
| key-debounce scenario 2 | [[[['A', 'down', 13]], []]] | [[[['A', 'down', 13], ['A', 'up', 17]], []]] | Failed |
| key-debounce scenario 3 | [[[['A', 'down', 15]], []]] | [[[['A', 'down', 15]], ['A']]] | Failed |
| key-debounce scenario 4 | [[[['A', 'down', 13], ['B', 'down', 17]], []]] | [[[['A', 'down', 13], ['A', 'up', 17], ['B', 'down', 17]], ['B']]] | Failed |
| key-debounce scenario 5 | [[[], []]] | [[[], []]] | Passed |
| key-debounce scenario 6 | [[[['A', 'down', 23], ['B', 'down', 23], ['B', 'down', 24], ['B', 'down', 27]], []]] | [[[['A', 'down', 23], ['B', 'down', 23], ['A', 'up', 27]], ['B']]] | Failed |
| key-debounce scenario 7 | [[[['A', 'down', 13], ['A', 'down', 18]], []]] | [[[['A', 'down', 13]], ['A']]] | Failed |
SHA-256 / a426f357536ad45d7f954d7a8921963b5452442492de5f2cce9b17328e8ab84e
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,scans=c
stable={}; candidate={}; since={}; output=[]
for now,pressed in scans:
raw=set(pressed)
keys=sorted(set(stable)|set(candidate)|raw)
for key in keys:
value=key in raw
if key not in candidate or candidate[key]!=value:
candidate[key]=value
since[key]=now
if now-since[key]>=threshold and stable.get(key,False)!=value:
stable[key]=True
output.append([key,'down' if value else 'up',now])
return [output,sorted(k for k,v in stable.items() if v)]
return [run(c) for c in cases]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('key-debounce scenario 0', solve([[3, []]] * N), [[[], []]] * N)
check('key-debounce scenario 1', solve([[3, [[10, ['A']], [12, ['A']], [13, ['A']], [14, ['A']]]]] * N), [[[['A', 'down', 13]], ['A']]] * N)
check('key-debounce scenario 2', solve([[3, [[10, ['A']], [13, ['A']], [14, []], [17, []]]]] * N), [[[['A', 'down', 13], ['A', 'up', 17]], []]] * N)
check('key-debounce scenario 3', solve([[3, [[10, ['A']], [11, []], [12, ['A']], [14, ['A']], [15, ['A']]]]] * N), [[[['A', 'down', 15]], ['A']]] * N)
check('key-debounce scenario 4', solve([[3, [[10, ['A']], [13, ['A']], [14, ['B']], [17, ['B']]]]] * N), [[[['A', 'down', 13], ['A', 'up', 17], ['B', 'down', 17]], ['B']]] * N)
check('key-debounce scenario 5', solve([[3, [[10, ['A']], [11, []], [14, []]]]] * N), [[[], []]] * N)
check('key-debounce scenario 6', solve([[3, [[10, []], [20, ['A', 'B']], [23, ['A', 'B']], [24, ['B']], [27, ['B']]]]] * N), [[[['A', 'down', 23], ['B', 'down', 23], ['A', 'up', 27]], ['B']]] * N)
check('key-debounce scenario 7', solve([[3, [[10, ['A']], [13, ['A']], [14, []], [15, ['A']], [18, ['A']]]]] * N), [[[['A', 'down', 13]], ['A']]] * 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 |
|---|---|---|---|
| key-debounce scenario 0 | [[[], []]] | [[[], []]] | Passed |
| key-debounce scenario 1 | [[[['A', 'down', 13]], ['A']]] | [[[['A', 'down', 13]], ['A']]] | Passed |
| key-debounce scenario 2 | [[[['A', 'down', 13], ['A', 'up', 17]], ['A']]] | [[[['A', 'down', 13], ['A', 'up', 17]], []]] | Failed |
| key-debounce scenario 3 | [[[['A', 'down', 15]], ['A']]] | [[[['A', 'down', 15]], ['A']]] | Passed |
| key-debounce scenario 4 | [[[['A', 'down', 13], ['A', 'up', 17], ['B', 'down', 17]], ['A', 'B']]] | [[[['A', 'down', 13], ['A', 'up', 17], ['B', 'down', 17]], ['B']]] | Failed |
| key-debounce scenario 5 | [[[], []]] | [[[], []]] | Passed |
| key-debounce scenario 6 | [[[['A', 'down', 23], ['B', 'down', 23], ['A', 'up', 27]], ['A', 'B']]] | [[[['A', 'down', 23], ['B', 'down', 23], ['A', 'up', 27]], ['B']]] | Failed |
| key-debounce scenario 7 | [[[['A', 'down', 13]], ['A']]] | [[[['A', 'down', 13]], ['A']]] | Passed |
SHA-256 / 5b207895c11a08cda47199e65a8b1dba820b57d221d6bdb0f5ada6f9c445a933
HELD IN THE MEMBER ARCHIVE
The verified repair and its recorded checks are member-only.
This mechanism has 8 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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Sign in to the archive ↗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 2026-09-29T14:42:04.626076+00:00.
Case digest / c04d82abdd37fb90da6bb6ba8a3e01c1365d42bc4e0059e0f4dd29d0106f1d6a