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FA-31546 / Keyboard interactions / Open access

Keyboard macro recording timebase: Repeated pause shifts the freeze origin or pause runs outside recording · case 01

The event trace violates the pause gate rule and produces incorrect keyboard state or command output.

Verified by executionVariant 1 · 10 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Repeated pause shifts the freeze origin or pause runs outside recording.

THE FAILURE

Repeated pause shifts the freeze origin or pause runs outside recording.

Unsuccessful approach: The partial repair changes this transition to elif kind=='pause' and paused is None:, which still violates the model contract on the explicit regression traces.

Case contract

Events [kind,key,time,injected]. Start resets capture and origin; physical down/up record relative active time; injected events are ignored. Pause freezes recording and resume excludes paused duration. Stop ends recording; clear erases recording. Return [kind,key,offset] records, recording flag, paused flag and excluded time. Ordered times and paired pause/resume. 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):
        recording=False; origin=0; paused=None; excluded=0; records=[]
        for kind,key,now,injected in c:
            if kind=='start':
                recording=True; origin=now; paused=None; excluded=0; records=[]
            elif kind=='pause' and recording:
                paused=now
            elif kind=='resume' and recording and paused is not None:
                excluded+=now-paused
                paused=None
            elif kind=='stop': recording=False; paused=None
            elif kind=='clear': records=[]
            elif kind in ('down','up') and recording and paused is None and not injected:
                records.append([kind,key,now-origin-excluded])
        return [records,recording,paused is not None,excluded]
    return [run(c) for c in cases]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('macro-record scenario 0', solve([[]] * N), [[[], False, False, 0]] * N)
check('macro-record scenario 1', solve([[['start', '', 10, False], ['down', 'A', 12, False], ['up', 'A', 13, False], ['text', 'A', 14, False]]] * N), [[[['down', 'A', 2], ['up', 'A', 3]], True, False, 0]] * N)
check('macro-record scenario 2', solve([[['start', '', 10, False], ['down', 'A', 12, True], ['up', 'A', 13, True]]] * N), [[[], True, False, 0]] * N)
check('macro-record scenario 3', solve([[['start', '', 10, False], ['pause', '', 12, False], ['pause', '', 13, False], ['resume', '', 15, False], ['down', 'A', 16, False]]] * N), [[[['down', 'A', 3]], True, False, 3]] * N)
check('macro-record scenario 4', solve([[['start', '', 10, False], ['pause', '', 12, False], ['resume', '', 15, False], ['pause', '', 17, False], ['resume', '', 20, False], ['down', 'A', 21, False]]] * N), [[[['down', 'A', 5]], True, False, 6]] * N)
check('macro-record scenario 5', solve([[['start', '', 10, False], ['down', 'A', 11, False], ['start', '', 20, False]]] * N), [[[], True, False, 0]] * N)
check('macro-record scenario 6', solve([[['start', '', 10, False], ['pause', '', 12, False], ['resume', '', 15, False], ['start', '', 20, False], ['down', 'A', 21, False]]] * N), [[[['down', 'A', 1]], True, False, 0]] * N)
check('macro-record scenario 7', solve([[['start', '', 10, False], ['pause', '', 12, False], ['stop', '', 15, False], ['down', 'A', 16, False]]] * N), [[[], False, False, 0]] * N)
check('macro-record scenario 8', solve([[['pause', '', 10, False]]] * N), [[[], False, False, 0]] * N)
check('macro-record scenario 9', solve([[['start', '', 10, False], ['down', 'A', 11, False], ['up', 'A', 12, False], ['clear', '', 13, False]]] * N), [[[], True, False, 0]] * 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 fixtureActualExpectedOutcome
macro-record scenario 0[[[], False, False, 0]][[[], False, False, 0]]Passed
macro-record scenario 1[[[['down', 'A', 2], ['up', 'A', 3]], True, False, 0]][[[['down', 'A', 2], ['up', 'A', 3]], True, False, 0]]Passed
macro-record scenario 2[[[], True, False, 0]][[[], True, False, 0]]Passed
macro-record scenario 3[[[['down', 'A', 4]], True, False, 2]][[[['down', 'A', 3]], True, False, 3]]Failed
macro-record scenario 4[[[['down', 'A', 5]], True, False, 6]][[[['down', 'A', 5]], True, False, 6]]Passed
macro-record scenario 5[[[], True, False, 0]][[[], True, False, 0]]Passed
macro-record scenario 6[[[['down', 'A', 1]], True, False, 0]][[[['down', 'A', 1]], True, False, 0]]Passed
macro-record scenario 7[[[], False, False, 0]][[[], False, False, 0]]Passed
macro-record scenario 8[[[], False, False, 0]][[[], False, False, 0]]Passed
macro-record scenario 9[[[], True, False, 0]][[[], True, False, 0]]Passed

SHA-256 / e351e75cc220b8a136294a6d88adbe0448957c8834d990a694e21ecebc7b258f

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):
        recording=False; origin=0; paused=None; excluded=0; records=[]
        for kind,key,now,injected in c:
            if kind=='start':
                recording=True; origin=now; paused=None; excluded=0; records=[]
            elif kind=='pause' and paused is None:
                paused=now
            elif kind=='resume' and recording and paused is not None:
                excluded+=now-paused
                paused=None
            elif kind=='stop': recording=False; paused=None
            elif kind=='clear': records=[]
            elif kind in ('down','up') and recording and paused is None and not injected:
                records.append([kind,key,now-origin-excluded])
        return [records,recording,paused is not None,excluded]
    return [run(c) for c in cases]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('macro-record scenario 0', solve([[]] * N), [[[], False, False, 0]] * N)
check('macro-record scenario 1', solve([[['start', '', 10, False], ['down', 'A', 12, False], ['up', 'A', 13, False], ['text', 'A', 14, False]]] * N), [[[['down', 'A', 2], ['up', 'A', 3]], True, False, 0]] * N)
check('macro-record scenario 2', solve([[['start', '', 10, False], ['down', 'A', 12, True], ['up', 'A', 13, True]]] * N), [[[], True, False, 0]] * N)
check('macro-record scenario 3', solve([[['start', '', 10, False], ['pause', '', 12, False], ['pause', '', 13, False], ['resume', '', 15, False], ['down', 'A', 16, False]]] * N), [[[['down', 'A', 3]], True, False, 3]] * N)
check('macro-record scenario 4', solve([[['start', '', 10, False], ['pause', '', 12, False], ['resume', '', 15, False], ['pause', '', 17, False], ['resume', '', 20, False], ['down', 'A', 21, False]]] * N), [[[['down', 'A', 5]], True, False, 6]] * N)
check('macro-record scenario 5', solve([[['start', '', 10, False], ['down', 'A', 11, False], ['start', '', 20, False]]] * N), [[[], True, False, 0]] * N)
check('macro-record scenario 6', solve([[['start', '', 10, False], ['pause', '', 12, False], ['resume', '', 15, False], ['start', '', 20, False], ['down', 'A', 21, False]]] * N), [[[['down', 'A', 1]], True, False, 0]] * N)
check('macro-record scenario 7', solve([[['start', '', 10, False], ['pause', '', 12, False], ['stop', '', 15, False], ['down', 'A', 16, False]]] * N), [[[], False, False, 0]] * N)
check('macro-record scenario 8', solve([[['pause', '', 10, False]]] * N), [[[], False, False, 0]] * N)
check('macro-record scenario 9', solve([[['start', '', 10, False], ['down', 'A', 11, False], ['up', 'A', 12, False], ['clear', '', 13, False]]] * N), [[[], True, False, 0]] * 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 fixtureActualExpectedOutcome
macro-record scenario 0[[[], False, False, 0]][[[], False, False, 0]]Passed
macro-record scenario 1[[[['down', 'A', 2], ['up', 'A', 3]], True, False, 0]][[[['down', 'A', 2], ['up', 'A', 3]], True, False, 0]]Passed
macro-record scenario 2[[[], True, False, 0]][[[], True, False, 0]]Passed
macro-record scenario 3[[[['down', 'A', 3]], True, False, 3]][[[['down', 'A', 3]], True, False, 3]]Passed
macro-record scenario 4[[[['down', 'A', 5]], True, False, 6]][[[['down', 'A', 5]], True, False, 6]]Passed
macro-record scenario 5[[[], True, False, 0]][[[], True, False, 0]]Passed
macro-record scenario 6[[[['down', 'A', 1]], True, False, 0]][[[['down', 'A', 1]], True, False, 0]]Passed
macro-record scenario 7[[[], False, False, 0]][[[], False, False, 0]]Passed
macro-record scenario 8[[[], False, True, 0]][[[], False, False, 0]]Failed
macro-record scenario 9[[[], True, False, 0]][[[], True, False, 0]]Passed

SHA-256 / 56854ef85131c04c4ad2af9271740e1735cbe848e2b30bd6e948f67d9f55a01a

HELD IN THE MEMBER ARCHIVE

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

This mechanism has 10 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

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 2026-09-29T14:42:03.583640+00:00.

Case digest / 4f0dea28c55a7e0db330a7325eb9575db2e5858b00213bf61e87d31e6b4a78b6