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`_is_hydra_parallel()` returned `self.hydra_config.launcher is not None`, but Hydra always populates `hydra.launcher` -- for plain runs as well as multirun -- defaulting to `BasicLauncher`, whose `launch()` is a plain `for` loop over the jobs. The predicate was therefore true for every Hydra job. So both layers deferred to each other: abses assumed Hydra was parallelising and ran its repeats sequentially, while Hydra's BasicLauncher ran the jobs one after another. `Experiment.batch_run(parallels=N)` never reached its `Parallel(backend="loky")` branch under any default Hydra setup, and `exp.num_process` was a dead parameter. The check is now a pure function over the launcher config: a launcher counts as parallel only when it is not one of Hydra's built-in (serial) core plugins. Genuinely concurrent launchers all ship as `hydra_plugins.*` -- joblib, submitit, ray -- so those still make abses yield rather than nest a second process layer inside each Hydra job. The prefix test is broader than matching `basic_launcher` alone: every launcher under `hydra._internal.core_plugins.` is serial, and BasicLauncher is the only one there today, so the prefix keeps holding if Hydra renames it. Existing coverage missed this because `tests/core/test_experiment.py` runs outside Hydra, where `is_hydra_job()` is False and the parallel branch is taken. The new tests pin both directions, and the integration case observes the worker PIDs the repeats actually ran in. Closes #169 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The sequential branch of `_batch_run_repeats` called `run_single()` purely for
its side effects and dropped the `(key, seed, dataset)` it returns. Only the
parallel branch fed those back through `ExperimentManager.update_result()`, so
any run that took the sequential path recorded nothing at all and
`Experiment.summary()` came back empty.
parallels=1 -> summary rows = 0
parallels=2 -> summary rows = 3
parallels=None -> summary rows = 3
This stayed hidden because the default `parallels=None` takes the parallel
branch, and it compounded #169: with `_is_hydra_parallel()` true for every Hydra
job, *every* run under Hydra lost its summary. Models writing their own output
files still produced them, which is why the loss showed up as an empty summary
rather than a missing run.
The sequential branch now registers each result exactly as the parallel one
does. This also makes the yield-to-a-real-launcher direction observable, so the
joblib/submitit/ray case finally has an integration test rather than only
predicate-level coverage.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Quality-only follow-up to the two fixes on this branch; no behaviour change. abses/core/experiment.py: - Both branches of `_batch_run_repeats` recorded results with the same `update_result(...)` block. Extracted `Experiment._record_result()` so a repeat is stored identically whichever branch ran it. - `launcher_is_parallel` took `Any`; its only caller passes the `hydra.launcher` node, so it now says `Optional[DictConfig]`, and it grew the `Args:`/`Returns:` sections the neighbouring module-level helpers all have. - The comment above `_SERIAL_LAUNCHER_PREFIX` claimed every parallel launcher ships under `hydra_plugins.*`. The code tests the converse -- not under `hydra._internal.core_plugins` -- so a third-party *serial* launcher would be read as parallel. Reworded to state what is actually checked, and why erring that way is cheap. tests: - The ExperimentManager singleton save/reset/restore existed twice in `test_experiment.py`; it is now the `reset_experiment_manager` fixture in `conftest.py`, used via `pytestmark`. The third copy in `tests/utils/test_logging.py` is left alone: it is interleaved with logger handler teardown in the same `try/finally`, so moving it is riskier than the duplication it would remove. - The three Hydra tests repeated the same config arrangement; it is now the `pid_config` fixture. - `TestLauncherIsParallel` mixed Chinese and English docstrings within the one new class; it is English throughout now, matching the class beside it. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
`max(1, cpu_count or 1 // 2)` reads as "half the cores", but `1 // 2` binds first and evaluates to 0, so `cpu_count or 0` is just `cpu_count`: the default has always been every core, capped at `repeats` on the next line. Left at every core deliberately rather than "fixed" to half -- that is the behaviour every released version has had for `parallels=None`, and halving it would quietly double the wall time of existing runs. This matters more now than it did: with #169 fixed the parallel branch is reachable under Hydra, so a Hydra user who never set `num_process` goes from one process to all cores. Worth a line in the release notes. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
fix(experiment): 🐛 Make num_process work under Hydra
release-please only commits the version bump and changelog on `master`, and `master` was never merged back, so `dev` still declared 0.10.0 while 0.11.7 was already on PyPI. Anyone installing from a `dev` checkout got metadata reading 0.10.0, which is what `abses.__version__` reports -- the fallback in `abses/__init__.py` was never at fault. Brings `pyproject.toml` to 0.11.7 and adds the 0.10.0..0.11.7 changelog entries. No source changes; 707 tests pass on the merge result. Worth repeating after every release, otherwise `dev` drifts again. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
…ically Two CI changes, no source changes. **Diagnostics for #171.** `Tests 3.13 on windows-latest` has been failing for seven months with `Error -1073741819` (0xC0000005, ACCESS_VIOLATION) and no Python output whatsoever -- pytest crashes before it prints its banner, so there is nothing to go on. `PYTHONFAULTHANDLER=1` on the job makes the interpreter dump a C-level traceback on a fatal signal, and a separate import smoke test before `make test-all` tells apart "importing abses crashes" from "the test run crashes", which the single combined step cannot. Neither change tries to fix the crash -- it does not reproduce off Windows. They exist so the next red run says where it died. **Automatic back-merge.** release-please commits the version bump and changelog on `master` only, and nothing brought them back, so `dev` sat at 0.10.0 while 0.11.7 was already on PyPI -- which is why `abses.__version__` read 0.10.0 from a dev checkout. A new `backmerge-dev` job opens master -> dev after each release. It no-ops when dev is already up to date or a back-merge PR is already open. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
📝 WalkthroughWalkthroughHydra launcher detection now distinguishes serial and parallel configurations. Repeat execution centralizes result recording and uses available CPUs by default. Tests cover launcher behavior and process selection. GitHub Actions adds release back-merging and import crash diagnostics. ChangesHydra repeat execution
Workflow automation and diagnostics
Estimated code review effort: 3 (Moderate) | ~30 minutes Merge Risk: 🟡 Moderate · up to The PR updates release automation guidance in a way that could allow unrelated changes to be back-merged into the development branch without adequate review, and it may give incomplete instructions for approval-required checks. Merge should wait until the guidance is corrected or the risk is explicitly accepted. Sequence Diagram(s)sequenceDiagram
participant HydraConfig
participant ExperimentManager
participant launcher_is_parallel
participant Parallel
participant _record_result
HydraConfig->>ExperimentManager: start repeat execution
ExperimentManager->>launcher_is_parallel: classify configured launcher
launcher_is_parallel-->>ExperimentManager: return effective concurrency
ExperimentManager->>Parallel: dispatch repeats when launcher is serial
Parallel-->>ExperimentManager: return repeat results
ExperimentManager->>_record_result: persist datasets, seeds, and overrides
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
📝 Generate docstrings
🧪 Generate unit tests (beta)
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chore(ci): 👷 Surface interpreter crashes, automate the dev back-merge
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Inline comments:
In `@abses/core/experiment.py`:
- Around line 127-128: Update the launcher parallelism check around the target
validation to return False when JoblibLauncher configuration has n_jobs set to
1, while preserving the existing target and serial-launcher checks. Add a
regression test covering a launcher configuration containing both _target_ and
n_jobs: 1, verifying Experiment.batch_run() can honor parallels greater than 1.
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`test_repeats_span_multiple_processes` asserted the four repeats landed on more
than one worker PID. That is joblib's dispatch timing, not a promise this code
makes: the runs are short enough that one worker can take all four before the
others have finished starting, which is what happened on the macOS 3.11 runner:
AssertionError: all repeats shared one process: {2078}
PID 2078 was not the parent, so the parallel branch had worked exactly as
intended -- the assertion was simply testing something the implementation never
guaranteed.
What actually separates the two branches is the parent process: the sequential
branch runs there and loky never does. The test now asserts the repeats did not
run in the parent, and is renamed for what it checks.
This does not weaken the regression. Restoring the #169 bug still fails it:
AssertionError: repeats ran in the parent, so the parallel branch was
skipped: {18952}
Ran 10 consecutive times against the fix with no flake; full suite 707 passed.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
fix(tests): ✅ Stop asserting joblib's dispatch timing
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In @.github/workflows/release-please.yml:
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`launcher_is_parallel` classified any non-builtin launcher as concurrent from its `_target_` alone. joblib's `Parallel(n_jobs=1)` selects the sequential backend and runs every job in the calling process, so a run with `hydra/launcher=joblib hydra.launcher.n_jobs=1` was serial on both levels: Hydra ran the jobs one at a time and `batch_run` skipped its parallel branch believing Hydra had it covered. `parallels` was ignored exactly as in #169, only in a narrower configuration. The check now reads `n_jobs` as well. joblib is the only launcher that spells its concurrency knob that way; every other value, the -1 default and an absent key all leave the launcher classified as parallel. An `n_jobs` that cannot be resolved keeps that optimistic default rather than raising out of a predicate and aborting the run. Reported by CodeRabbit on #173.
The job checks out, fetches, and opens a pull request against a branch that already exists on the remote; it never pushes. `contents: read` is enough for the first two and `pull-requests: write` covers the third. Reported by CodeRabbit on #173.
`uv.lock` still recorded abses 0.10.0, left over from the version drift between dev and master. Any `uv run` regenerated it and dirtied the working tree.
fix(experiment): 🐛 Respect a Joblib launcher pinned to one job
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准备
0.11.8补丁版本。内容
两个 bug 修复（#170，已合入 dev）：
fix(experiment)：判据把 BasicLauncher 当成并行，导致num_process完全失效（Closes _is_hydra_parallel 把 BasicLauncher 当成并行，导致 num_process 完全失效 #169）_is_hydra_parallel()检查的是「有没有配 launcher」，但 Hydra 单次运行和 multirun 都默认配一个串行的BasicLauncher，于是判据对任何 Hydra job 恒真，batch_run的Parallel(backend="loky")分支永远不可达。现在改为判断 launcher 是否真的并行；joblib / submitit / ray 这些插件仍然让路，不嵌套第二层进程。fix(experiment)：串行分支丢弃运行结果串行分支调用
run_single()却丢掉它的返回值，只有并行分支把结果回收给 manager，所以任何走串行路径的运行summary()都是空的（parallels=1→ 0 行）。叠加上一个 bug 后，每一个 Hydra run 的 summary 数据都是空的。外加两个
refactor:（代码审查跟进，无行为变化）。版本预期
release-please会算出 0.11.8（patch）：4 个 commit 里 2 个fix:、2 个refactor:，没有任何BREAKING CHANGEfooter，不会跳 major。Release notes 需要提一句
修复 #169 的必然结果：Hydra 下从不设
num_process的用户，会从 1 个进程变成占满全部核心（再被repeats压顶）。默认并发度本身没有改变 ——
max(1, cpu_count or 1 // 2)里1 // 2先求值为0，所以这个表达式从来就等于cpu_count。这次只是把它写清楚，没有改成「一半」，因为那会让现有非 Hydra 用户的运行时间直接翻倍。已知的红灯
Tests 3.13 on windows-latest会红。这是 dev 上已经存在七个月的问题，与本 PR 无关：错误码-1073741819（ACCESS_VIOLATION），pytest 在打印任何输出之前就崩溃，最早可追溯到 2026-01-06 的 run。已记录为 #171，诊断补丁在 #172。同一个 run 里 Windows 3.11/3.12、Ubuntu 3.11/3.12、Lint and Type Check、mesa 兼容性都是绿的。
备注
#172（CI 诊断 + 自动回合 dev）目前还没合进 dev。如果先合了它，这个 PR 会自动带上，属于
chore:，不影响版本号计算。Summary by CodeRabbit
Improvements
Tests