捕捉模式與猜測輸入來源要分開

訂判斷及所需輸入

題內人手及掃描器兩個可能來源，都是 A、1、2，在0、5、10 出現。程序按次序核每個鍵及時間，兩段完全相同，分不出來源。明選手動或掃描捕捉模式，只選路由，未證實真正設備。

已填本地測試工作表
情況	輸入 JSON
原例測試	{"captureMode":"manual","traces":[{"candidateOrigin":"human","events":[{"key":"A","at":0},{"key":"1","at":5},{"key":"2","at":10}]},{"candidateOrigin":"scanner","events":[{"key":"A","at":0},{"key":"1","at":5},{"key":"2","at":10}]}]}

下載可編輯 CSV ↓

跑所附比較

錯路仍把輸入當掃描器來源；更正保 physicalOrigin 未明，不提出通用速度辨識法。

錯誤及所需輸出
路徑	輸出 JSON
錯誤路徑	{"route":"scanner","physicalOrigin":"scanner","sameObservedTrace":true,"timingCanDistinguish":false}
所需路徑	{"route":"manual","physicalOrigin":"unknown","sameObservedTrace":true,"timingCanDistinguish":false}

下載可編輯 CSV ↓

完整本地 Node24.14.1 程序

import assert from 'node:assert/strict';

const run=function run(i,corrected=true){
    if(!['scanner','manual'].includes(i.captureMode))return {held:true};
    const signature=trace=>trace.events.map(event=>[event.key,event.at]);
    const sameObservedTrace=i.traces.length===2&&JSON.stringify(signature(i.traces[0]))===JSON.stringify(signature(i.traces[1]));
    if(!sameObservedTrace)return {held:true,reason:'outside-matched-trace-example'};
    return {route:corrected?i.captureMode:'scanner',physicalOrigin:corrected?'unknown':'scanner',sameObservedTrace,timingCanDistinguish:!sameObservedTrace};
  };
const cases=[{"input":{"captureMode":"manual","traces":[{"candidateOrigin":"human","events":[{"key":"A","at":0},{"key":"1","at":5},{"key":"2","at":10}]},{"candidateOrigin":"scanner","events":[{"key":"A","at":0},{"key":"1","at":5},{"key":"2","at":10}]}]},"corrected":false,"expected":{"route":"scanner","physicalOrigin":"scanner","sameObservedTrace":true,"timingCanDistinguish":false}},{"input":{"captureMode":"manual","traces":[{"candidateOrigin":"human","events":[{"key":"A","at":0},{"key":"1","at":5},{"key":"2","at":10}]},{"candidateOrigin":"scanner","events":[{"key":"A","at":0},{"key":"1","at":5},{"key":"2","at":10}]}]},"corrected":true,"expected":{"route":"manual","physicalOrigin":"unknown","sameObservedTrace":true,"timingCanDistinguish":false}},{"input":{"captureMode":"scanner","traces":[{"candidateOrigin":"human","events":[{"key":"A","at":0},{"key":"1","at":5},{"key":"2","at":10}]},{"candidateOrigin":"scanner","events":[{"key":"A","at":0},{"key":"1","at":5},{"key":"2","at":10}]}]},"corrected":true,"expected":{"route":"scanner","physicalOrigin":"unknown","sameObservedTrace":true,"timingCanDistinguish":false}},{"input":{"captureMode":null,"traces":[]},"corrected":true,"expected":{"held":true}}];
for(const test of cases){const actual=await run(test.input,test.corrected);assert.deepEqual(actual,test.expected);console.log(actual);}

下載可執行例子 ↓

按邊界依據作判斷

明選掃描模式，真正來源仍未明。模式欠缺便停；兩組不同紀錄不屬此相同觀察例子，也不自動分類。

比較完整紀錄
來源未分清便照留未明
路由另作明確選擇

字出得快，不等於硬件身分依據。

可編輯邊界輸入及結果
條件	輸入 JSON	預期輸出 JSON
明選掃描捕捉模式	{"captureMode":"scanner","traces":[{"candidateOrigin":"human","events":[{"key":"A","at":0},{"key":"1","at":5},{"key":"2","at":10}]},{"candidateOrigin":"scanner","events":[{"key":"A","at":0},{"key":"1","at":5},{"key":"2","at":10}]}]}	{"route":"scanner","physicalOrigin":"unknown","sameObservedTrace":true,"timingCanDistinguish":false}
尚未選模式	{"captureMode":null,"traces":[]}	{"held":true}

下載可編輯 CSV ↓

選掃描模式，可證明字來自掃描器嗎？

查看參考答案

不能，只選捕捉路由。相同觀察仍符合題內兩個可能來源。

訂判斷及所需輸入

跑所附比較

按邊界依據作判斷

相關資源