[Lane 3 · native] Precision/Recall/F1 — Kotlin/Native (macOS/Linux) target parity check
维护者通常 1 天内回复
还没有人认领这个 Issue。
评估
调研方向
First check whether #1229 has merged or use its branch. Run at least one listed Gradle task for macOS Apple Silicon or Linux x86-64; consult .github/workflows/native-cpu-multiarch.yml to see which native targets CI already tests. Compare the metric results bit-for-bit with the JVM run, then report the target, toolchain versions, task, outcome and wall-clock on #1222; open and link a separate bug issue if something fails.
由索引模型根据 Issue 内容生成。
描述
Sub-issue of #1222 (Precision, Recall and F1Score metrics).
Lane: 3 · Platform verification · Kotlin/Native (macOS / Linux)
Skill needed: Kotlin/Native desktop targets build tooling — running a Kotlin Multiplatform module's tests on this target. No tensor-internals or metrics knowledge required. The code under test is pure commonMain Kotlin over Double counters; this is a smoke check, not new implementation.
Size: xs (~30–60 min)
Blocked by: #1229 (F1Score merged to develop), or check out its branch early.
What to do
- macOS Apple Silicon:
./gradlew :skainet-backends:skainet-backend-cpu:macosArm64Test --tests "sk.ainet.exec.metrics.*" - Linux x86-64:
./gradlew :skainet-backends:skainet-backend-cpu:linuxX64Test --tests "sk.ainet.exec.metrics.*"
(linuxArm64is link-only — note it rather than run it). - Run at least one of the two; say which.
Then, in every case:
- Confirm the metric tests (
sk.ainet.exec.metrics.*) pass and the values match the JVM run
bit-for-bit — pureLongcounting andDoubledivision, so any drift is itself a finding. - Report on #1222: target, toolchain versions, pass/fail, wall-clock, anything
target-specific you hit (anexpect/actualgap, a disabled test source set, a task
that doesn't exist).
Acceptance
- Result posted on #1222 with the exact Gradle task(s) run
- If something is wrong, a separate bug issue opened and linked — don't block the
parent on investigating it here
Notes
The CI matrix in .github/workflows/native-cpu-multiarch.yml shows which native targets
CI already exercises — if the metric tests are picked up there automatically after
#1229 merges, a link to the green run is an acceptable report.
- 主要语言
- Kotlin
- 星标
- 52
- 派生
- 15
- 平均合并
- 1 天 15 小时
- 30 天内合并 PR
- 36
环境准备
- 没有 Dockerfile 或 Docker Compose 文件
- 没有 Pull Request 模板
- 阅读贡献指南
从这里开始
- 先读完整个 Issue,再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
SKaiNET-developers/SKaiNET 的其他 Issue
-
coding good first issue size:xs skill:kotlin-core sub-issue
难度 2/5 1-3 小时 新手友好度 88/100
SKaiNET-developers/SKaiNET#1323 ·
维护者通常 1 天内回复
-
coding good first issue platform size:xs skill:js sub-issue
难度 2/5 1-3 小时 新手友好度 72/100
SKaiNET-developers/SKaiNET#1232 ·
维护者通常 1 天内回复
-
skeep tracking
难度 5/5 一周以上 新手友好度 15/100
SKaiNET-developers/SKaiNET#1331 ·
维护者通常 1 天内回复
-
assessment size:s skill:review sub-issue
难度 4/5 1-2 天 新手友好度 18/100
SKaiNET-developers/SKaiNET#1330 ·
维护者通常 1 天内回复
-
documentation good first issue size:s skill:docs sub-issue
难度 3/5 1-2 天 新手友好度 78/100
SKaiNET-developers/SKaiNET#1329 ·
维护者通常 1 天内回复
查看 SKaiNET-developers/SKaiNET 的全部 Issue
相似的 Issue
-
bugbane/qf good first issue
难度 2/5 1-3 小时 新手友好度 64/100
osservatorionessuno/bugbane#173 ·
维护者通常 1 天内回复
-
难度 2/5 1-3 小时 新手友好度 78/100
-
Bayern feature:Application ready web
难度 2/5 1-3 小时 新手友好度 67/100
digitalfabrik/entitlementcard#3176 ·
维护者通常 7 天内回复
-
bug need-device
难度 2/5 1-3 小时 新手友好度 64/100
ramesh130/superplayer#495 ·
维护者通常 1 天内回复
-
难度 2/5 1-3 小时 新手友好度 66/100
maxrave-dev/SimpMusic#2649 ·
维护者通常 2 天内回复