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12 changes: 6 additions & 6 deletions .github/workflows/ci.yml
Original file line number Diff line number Diff line change
Expand Up @@ -29,21 +29,21 @@ jobs:
with:
enable-cache: true
- name: Install test dependencies
run: uv sync --locked --group dev --group cpu --extra leaderboard --extra plots --extra rt
run: uv sync --all-packages --locked --group dev --group cpu --extra leaderboard --extra plots --extra rt
- name: Verify test interpreter
env:
EXPECTED_PYTHON: ${{ matrix.python-version }}
run: |
uv run python -c 'import os, sys; actual = f"{sys.version_info.major}.{sys.version_info.minor}"; expected = os.environ["EXPECTED_PYTHON"]; assert actual == expected, f"Expected Python {expected}, got {actual}"'
uv run --no-sync python -c 'import os, sys; actual = f"{sys.version_info.major}.{sys.version_info.minor}"; expected = os.environ["EXPECTED_PYTHON"]; assert actual == expected, f"Expected Python {expected}, got {actual}"'
- name: Check formatting and lint
run: |
uv run ruff format --check .
uv run ruff check .
uv run --no-sync ruff format --check .
uv run --no-sync ruff check .
- name: Run tests
env:
OMP_NUM_THREADS: "1"
run: uv run pytest
run: uv run --no-sync pytest
- name: Build distributions
run: uv build
run: uv build --all-packages
- name: Verify required package data
run: python workflows/verify_distributions.py
2 changes: 1 addition & 1 deletion AGENTS.md
Original file line number Diff line number Diff line change
Expand Up @@ -70,7 +70,7 @@ macOS-only AutoGluon/LightGBM issue
locally on macOS, prefix with the env var:

```bash
OMP_NUM_THREADS=1 uv run pytest # otherwise: "Fatal Python error: Segmentation fault" in lightgbm
OMP_NUM_THREADS=1 uv run --all-packages pytest # otherwise: "Fatal Python error: Segmentation fault" in lightgbm
```

(There's no clean *permanent* local fix under `uv`: symlinking one `libomp` — e.g.
Expand Down
12 changes: 6 additions & 6 deletions CONTRIBUTING.md
Original file line number Diff line number Diff line change
Expand Up @@ -8,8 +8,8 @@ improvements, new model integrations, and reproducibility fixes are welcome.
RelArena requires Python 3.11 and uses [uv](https://docs.astral.sh/uv/):

```bash
uv sync --group dev --group cpu --extra leaderboard --extra plots
uv run pre-commit install
uv sync --all-packages --group dev --group cpu --extra leaderboard --extra plots
uv run --all-packages pre-commit install
```

On macOS, prefix test and CLI commands with `OMP_NUM_THREADS=1` to avoid the
Expand All @@ -18,10 +18,10 @@ known conflict between the OpenMP runtimes bundled by PyTorch and LightGBM.
Before opening a pull request, run:

```bash
uv run ruff format --check .
uv run ruff check .
OMP_NUM_THREADS=1 uv run pytest
uv build
uv run --all-packages ruff format --check .
uv run --all-packages ruff check .
OMP_NUM_THREADS=1 uv run --all-packages pytest
uv build --all-packages
```

For model integrations, follow [docs/adding-a-model.md](docs/adding-a-model.md).
Expand Down
32 changes: 16 additions & 16 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -186,7 +186,7 @@ preprocessing cost.
<summary><b>🧩 Add your own model</b> — the <code>fit</code> / <code>predict</code> contract plus a search space</summary>

We want the set of included baselines to be as representative as possible, so adding a method is
meant to be cheap. A model is a folder under `src/relarena/models/` implementing the
meant to be cheap. A model is a folder under `packages/relarena/src/relarena/models/` implementing the
`RelArenaModel` contract (`fit` and `predict`) with a `SearchSpace` registered via
`@register_model(search_space=...)`; an end-to-end procedure implements
`RelArenaSystem.run` and uses `@register_system`. The registry discovers the folder automatically.
Expand Down Expand Up @@ -220,7 +220,7 @@ predictions = PredictiveQuery(spec).fit("tabpfn-rel-client").predict()
Any registered RelArena-α method runs this way, hyperparameter tuning included. See
[docs/predictive-task.md](docs/predictive-task.md) for the task definition, SQL rules, split
semantics, and worked examples;
[`src/relarena/userdb/relbench_v1/`](src/relarena/userdb/relbench_v1) for example specifications
[`packages/relarena/src/relarena/userdb/relbench_v1/`](packages/relarena/src/relarena/userdb/relbench_v1) for example specifications
covering all 21 entity-level RelBench v1 tasks; and
[`examples/olist_seller_churn.py`](examples/olist_seller_churn.py) for the full path on a real
7-table Kaggle database. That example predicts seller churn, where held-out ROC AUC is 0.50 for
Expand All @@ -246,7 +246,7 @@ preprocessing and GPU-bound training have different hardware requirements. RelAr
permits methods to compute preprocessing artifacts once and cache them on disk before a run.

Caching is not required. RelArena provides an **optional, experimental** helper API in
[`relarena.cache`](src/relarena/cache.py) for local paths, miss policies, private scratch
[`relarena.cache`](packages/relarena/src/relarena/cache.py) for local paths, miss policies, private scratch
computation, and atomic publication. A method may ignore this API and implement caching
independently. The helper does not bring cache warming into a timed RelArena experiment;
preprocessing scripts still run separately, so their runtime is not currently included in the
Expand Down Expand Up @@ -289,7 +289,7 @@ those nodes. The workflow warms every RelBench v1 task:

```bash
RELARENA_CACHE_DIR=~/relarena-cache \
uv run --extra rdblearn python workflows/warm_feature_cache.py
uv run --all-packages --extra rdblearn python workflows/warm_feature_cache.py
```

It invokes `relarena.featurization.warm_cache` for both protocol splits and warms both
Expand Down Expand Up @@ -390,8 +390,8 @@ checkout for those.
```bash
git clone https://github.com/PriorLabs/relarena.git
cd relarena
uv sync # the dev group (pytest, ruff, ...) installs by default
OMP_NUM_THREADS=1 uv run pytest # the prefix is required on macOS; harmless elsewhere
uv sync --all-packages # the dev group (pytest, ruff, ...) installs by default
OMP_NUM_THREADS=1 uv run --all-packages pytest # the prefix is required on macOS; harmless elsewhere
```

Add `--group cpu` for the CPU-only torch build instead of the CUDA one, and
Expand All @@ -404,17 +404,17 @@ pinned by `uv.lock`).
<summary><b>🛠️ Developer setup</b> — everything, plus pre-commit</summary>

```bash
uv sync --group dev --group cpu --extra leaderboard --extra plots
uv run pre-commit install
uv sync --all-packages --group dev --group cpu --extra leaderboard --extra plots
uv run --all-packages pre-commit install
```

Before opening a pull request:

```bash
uv run ruff format --check .
uv run ruff check .
OMP_NUM_THREADS=1 uv run pytest
uv build
uv run --all-packages ruff format --check .
uv run --all-packages ruff check .
OMP_NUM_THREADS=1 uv run --all-packages pytest
uv build --all-packages
```

See [CONTRIBUTING.md](CONTRIBUTING.md) and, for agent-facing notes, [AGENTS.md](AGENTS.md).
Expand Down Expand Up @@ -453,7 +453,7 @@ currently supported by RelArena's RT integration, and a GPU is strongly recommen
fine-tuning runtimes.

```bash
uv sync --extra rt # from a source checkout
uv sync --all-packages --extra rt # from a source checkout
pip install "relarena[rt]" # from a release
```

Expand Down Expand Up @@ -563,8 +563,8 @@ pretrained on PluRel-generated synthetic data and fine-tuned on the given task w
sequential tuning regime. KurveRSC jointly selects a GraphReduce feature program and downstream
learner on the inner split, then freezes and replays that exact operation plan in its reporting
arm. Their protocols and configured values are documented in
[`models/rt/model.py`](src/relarena/models/rt/model.py) and
[`models/kurversc/model.py`](src/relarena/models/kurversc/model.py). Each produces one system row
[`models/rt/model.py`](packages/relarena/src/relarena/models/rt/model.py) and
[`models/kurversc/model.py`](packages/relarena/src/relarena/models/kurversc/model.py). Each produces one system row
with real test metrics and complete runtime, without a harness config or validation score.

Everything else per method lives at its source: install caveats in
Expand Down Expand Up @@ -606,7 +606,7 @@ from RDBLearn and improves on it in four ways:

```
relarena/
├── src/relarena/ # the package
├── packages/relarena/src/relarena/ # the package
│ ├── model.py # RelArenaModel, the contract every model implements
│ ├── search_space.py # SearchSpace, declarative HPO space (ConfigSpace or grid)
│ ├── registry.py # string-keyed model registry, binds model to search space
Expand Down
200 changes: 200 additions & 0 deletions packages/relarena/LICENSE
Original file line number Diff line number Diff line change
@@ -0,0 +1,200 @@
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