pite 최신화

[keemhyunseok]

펍린트 에러 발생

1. publint main, module, types 필드

• 별도 entry 배럴파일 없는 hidash에서 위 세 필드를 어떻게 처리해야할지?
• entry index.ts를 추가해 위 세 필드에 적용?

publint에 skip 옵션 추가

2. export 경로 문제

• 빌드는 문제없이 잘 되는 것으로 보임

• 빌드 후 publint 에러 표시. package.json의 export필드의 경로를 ./module.js 형태로 작성한 것에서 에러발생
• ./dist/module.js 형태로 작성해서 문제를 해결해도 되는지?

loose, strict 옵션 받아서

[npayfebot]

✅ Changeset detected

Latest commit: 90c4202

@naverpay/hidash package have detected changes.

If no version change is needed, please add skip-detect-change to the label.

The changes in this PR will be included in the next version bump.

_{powered by: naverpay changeset detect-add actions}

[github-actions]

✅ All utility modules are properly registered in index.ts and package.json exports!

[github-actions]

Benchmark Results

Method	Test	Performance Comparison	hidash ops/sec	lodash@4.17.21 ops/sec
clone	src/clone.bench.ts > clone performance	hidash is 16.71x faster	55.30 🏆	3.31
toPairs	src/toPairs.bench.ts > toPairs performance	hidash is 2.97x faster	93.52 🏆	31.50

Note: Higher operations per second (ops/sec) numbers are better. Each test compares hidash vs lodash implementation.

⚠️ indicates where hidash is slower than lodash.

🏆 indicates the faster implementation.

View Full Benchmark Data

{
  "files": [
    {
      "filepath": "/home/runner/work/hidash/hidash/src/clone.bench.ts",
      "groups": [
        {
          "fullName": "src/clone.bench.ts > clone performance",
          "benchmarks": [
            {
              "id": "-1512290311_0_0",
              "name": "hidash",
              "rank": 1,
              "rme": 0.3426765965048654,
              "samples": [],
              "totalTime": 506.362763,
              "min": 17.90142800000001,
              "max": 18.616434000000027,
              "hz": 55.296325176264986,
              "period": 18.084384392857142,
              "mean": 18.084384392857142,
              "variance": 0.02553757571639489,
              "sd": 0.15980480504789238,
              "sem": 0.030200269462134468,
              "df": 27,
              "critical": 2.052,
              "moe": 0.06197095293629993,
              "p75": 18.12143500000002,
              "p99": 18.616434000000027,
              "p995": 18.616434000000027,
              "p999": 18.616434000000027,
              "sampleCount": 28,
              "median": 18.061384000000032
            },
            {
              "id": "-1512290311_0_1",
              "name": "lodash",
              "rank": 2,
              "rme": 1.9342138789327976,
              "samples": [],
              "totalTime": 3022.39195,
              "min": 288.86693600000035,
              "max": 311.3686310000003,
              "hz": 3.308637716560885,
              "period": 302.239195,
              "mean": 302.239195,
              "variance": 66.79213979436504,
              "sd": 8.172645825824404,
              "sem": 2.5844175319472864,
              "df": 9,
              "critical": 2.262,
              "moe": 5.845952457264762,
              "p75": 309.9658809999992,
              "p99": 311.3686310000003,
              "p995": 311.3686310000003,
              "p999": 311.3686310000003,
              "sampleCount": 10,
              "median": 302.65040299999964
            }
          ]
        }
      ]
    },
    {
      "filepath": "/home/runner/work/hidash/hidash/src/toPairs.bench.ts",
      "groups": [
        {
          "fullName": "src/toPairs.bench.ts > toPairs performance",
          "benchmarks": [
            {
              "id": "-742651752_0_0",
              "name": "hidash",
              "rank": 1,
              "rme": 1.5513938169962005,
              "samples": [],
              "totalTime": 502.5882509999997,
              "min": 10.324018999999907,
              "max": 14.278622999999925,
              "hz": 93.51591468062398,
              "period": 10.693367042553184,
              "mean": 10.693367042553184,
              "variance": 0.3189614854878996,
              "sd": 0.5647667531715191,
              "sem": 0.08237969764965715,
              "df": 46,
              "critical": 2.0138,
              "moe": 0.16589623512687957,
              "p75": 10.720496000000026,
              "p99": 14.278622999999925,
              "p995": 14.278622999999925,
              "p999": 14.278622999999925,
              "sampleCount": 47,
              "median": 10.622322999999994
            },
            {
              "id": "-742651752_0_1",
              "name": "lodash",
              "rank": 2,
              "rme": 0.16256441474417166,
              "samples": [],
              "totalTime": 507.92897900000025,
              "min": 31.62562200000002,
              "max": 31.924897999999985,
              "hz": 31.500466918624053,
              "period": 31.745561187500016,
              "mean": 31.745561187500016,
              "variance": 0.00938361261669406,
              "sd": 0.0968690488065928,
              "sem": 0.0242172622016482,
              "df": 15,
              "critical": 2.131,
              "moe": 0.05160698575171231,
              "p75": 31.79887400000007,
              "p99": 31.924897999999985,
              "p995": 31.924897999999985,
              "p999": 31.924897999999985,
              "sampleCount": 16,
              "median": 31.728247500000066
            }
          ]
        }
      ]
    }
  ]
}

Last updated by GitHub Actions

[keemhyunseok]

@yceffort-naver 님 #217 (comment) publint적용에 따른 두 문제가 발생하는데 제가 생각한 방향으로 수정해도 되는걸까요?

[yceffort-naver]

이거는 한번 회의 해볼까여? @byhhh2 @2-one-week @keemhyunseok

[keemhyunseok]

네넹

[byhhh2]

앗 이런..

[yceffort-naver]

@keemhyunseok 님, 휴가가시기전에 이것만~~~

[keemhyunseok]

@yceffort-naver 님,
Validate Utils Registration 이건 뭔가요?

[yceffort-naver]

머지하겠습니다!