From 7fe00f1f8ced3ea13bf4f1f2d0fd923fe207ab70 Mon Sep 17 00:00:00 2001 From: Jay Bailey Date: Mon, 27 Apr 2026 13:09:52 +0000 Subject: [PATCH 1/2] Fix three template-fit residuals from inspect_evals upstream MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Makefile: \`make test\` referenced a \`test\` extra and \`test_py311_or_lower\` / \`test_py312_or_higher\` uv groups that don't exist in the template's pyproject.toml — \`make test\` failed immediately. Drop the upstream-shaped variable apparatus (single-eval forks don't need the multi-Python-version dep matrix, and CI already uses plain \`uv sync --frozen\`); recipe is now just \`uv run pytest \$(TEST_ARGS)\` with TEST_ARGS preserved as a pass-through. Verified: \`make test\` now runs 81 tests cleanly. - .claude/skills/investigate-dataset/SKILL.md: the rate-limit troubleshooting bullet pointed at \`inspect_evals.utils.huggingface\` for "built-in retry with backoff", but that module is an inspect_evals package internal that isn't installed for template users. The template's own src/utils/huggingface.py is a schema-assertion helper, not a retry wrapper. Replaced with actionable advice (wait/retry, set HF_TOKEN to raise the per-IP rate limit). - tools/run_autolint/checks/dependencies.py: had a hard-coded \`if imp != "inspect_evals":\` self-import filter from upstream. In template context the package name is contributor-chosen, so the hard-coded value is dead code. Removed; the existing \`local_modules\` check below it handles the legitimate self-import case for any project name. Comment notes the divergence so future syncs don't re-introduce the upstream version silently. --- .claude/skills/investigate-dataset/SKILL.md | 2 +- Makefile | 14 +------------- tools/run_autolint/checks/dependencies.py | 10 +++++----- 3 files changed, 7 insertions(+), 19 deletions(-) diff --git a/.claude/skills/investigate-dataset/SKILL.md b/.claude/skills/investigate-dataset/SKILL.md index 8b3e94d..156ec79 100644 --- a/.claude/skills/investigate-dataset/SKILL.md +++ b/.claude/skills/investigate-dataset/SKILL.md @@ -95,6 +95,6 @@ uv run python -c "from datasets import load_dataset; print(load_dataset('org/nam HuggingFace caches at `~/.cache/huggingface/datasets/`. To force re-download set `HF_DATASETS_OFFLINE=0` and pass `download_mode="force_redownload"` to `load_dataset`, or simply delete the cache directory. - **Gated dataset**: Run `huggingface-cli login` or set `HF_TOKEN` -- **Rate limited**: The `hf_dataset` wrapper in `inspect_evals.utils.huggingface` has built-in retry with backoff +- **Rate limited**: wait and retry, or set `HF_TOKEN` to authenticate (raises HuggingFace's per-IP rate limit) - **Large dataset**: Use `streaming=True` or `split="train[:1000]"` for sampling - **Missing revision**: Check the dataset's "Files and versions" tab on HuggingFace diff --git a/Makefile b/Makefile index 5a46d7d..0431d4d 100644 --- a/Makefile +++ b/Makefile @@ -1,8 +1,4 @@ # MANAGED FILE - Updates pulled from template. See MANAGED_FILES.md -PYTHON_MINOR := $(shell uv run python --version 2>&1 | sed 's/Python 3\.\([0-9]*\).*/\1/') -TEST_GROUP_PY311 := test_py311_or_lower -TEST_GROUP_PY312 := test_py312_or_higher -DEFAULT_TEST_GROUP := $(shell [ "$(PYTHON_MINOR)" -le "11" ] && echo "$(TEST_GROUP_PY311)" || echo "$(TEST_GROUP_PY312)") hooks: uv run pre-commit install @@ -11,15 +7,7 @@ check: @bash tools/run_checks.sh TEST_ARGS ?= -TEST_EXTRAS ?= test -TEST_GROUPS ?= $(DEFAULT_TEST_GROUP) test: - @echo "PYTHON_MINOR=$(PYTHON_MINOR)" - @echo "TEST_GROUPS=$(TEST_GROUPS)" - @echo "TEST_EXTRAS=$(TEST_EXTRAS)" - GIT_LFS_SKIP_SMUDGE=1 uv run \ - $(addprefix --extra ,$(TEST_EXTRAS)) \ - $(addprefix --group ,$(TEST_GROUPS)) \ - pytest $(TEST_ARGS) + GIT_LFS_SKIP_SMUDGE=1 uv run pytest $(TEST_ARGS) .PHONY: hooks check test diff --git a/tools/run_autolint/checks/dependencies.py b/tools/run_autolint/checks/dependencies.py index d53d567..0d10bbc 100644 --- a/tools/run_autolint/checks/dependencies.py +++ b/tools/run_autolint/checks/dependencies.py @@ -246,11 +246,11 @@ def check_external_dependencies( # Resolve import name to package name (e.g., PIL → pillow) package_name = import_to_package.get(imp, imp).lower() if imp_lower not in stdlib_modules and package_name not in core_deps: - # Skip imports from inspect_evals itself - if imp != "inspect_evals": - # Skip local modules - if imp not in local_modules and imp_lower not in local_modules: - external_imports.add(imp) + # Local imports are filtered below. (Upstream additionally + # hard-coded a `inspect_evals` self-import skip here — dropped in + # template context since the package name is contributor-chosen.) + if imp not in local_modules and imp_lower not in local_modules: + external_imports.add(imp) if not external_imports: report.add( From 01cc2c25646eee20355fbe92df04f5912367d2f5 Mon Sep 17 00:00:00 2001 From: Jay Bailey Date: Mon, 27 Apr 2026 13:24:30 +0000 Subject: [PATCH 2/2] Port inspect_evals HF retry wrapper; add ENFORCE_TESTS to the pipeline MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Two follow-on additions to the template-fit-residuals work: 1. Bring in the retry-aware HuggingFace wrappers from inspect_evals.utils.huggingface so the investigate-dataset and create-eval skills can recommend using them. They wrap inspect_ai's hf_dataset, datasets.load_dataset, huggingface_hub.snapshot_download and friends with backoff.on_exception, retrying 429s / 502s / cache misses caused by HF rate limiting. Also enforce a `revision=` kwarg on every call for reproducibility. Adapted in-place: telemetry hooks (record_backoff, record_hf_call) are stubbed out as no-ops since the template doesn't need registry-scale call tracking. The schema-assertion helpers that already lived in src/utils/huggingface.py are kept; the file is now sectioned into "schema assertions" + "retry-aware wrappers". Adds backoff, datasets, huggingface_hub to runtime deps with a comment explaining how to drop them if an eval doesn't use HF. Adds types-requests to dev. Adds a mypy override for transformers / sentence_transformers (lazy-imported by the wrapper, only required if an eval actually opts into them). investigate-dataset/SKILL.md and create-eval/SKILL.md updated to recommend `from utils.huggingface import hf_dataset` over importing from inspect_ai.dataset directly. 2. Wire pytest into the CI pipeline. - New `tests` job in checks.yml. Matrix across 3.11/3.12/3.13, fail-fast: false, runs `uv run pytest -q` (slow tests excluded by the conftest's --runslow gate). - ENFORCE_TESTS toggle added to tools/enforcement.config (default enforced — like ENFORCE_RUFF/MYPY, it's a correctness check). - Pytest step added to tools/run_checks.sh, so `make check` now covers tests too. Local run: 11/11 checks pass. - README's "Checks and enforcement" toggle list updated to include ENFORCE_TESTS with a note about the slow-test marker. The matrix doesn't need a per-Python-version dep group split: the template's dep surface is uniform across 3.11-3.13 (no conflicting version constraints), so `uv sync --frozen` works cleanly per matrix leg from the single `dev` group. --- .claude/skills/create-eval/SKILL.md | 2 +- .claude/skills/investigate-dataset/SKILL.md | 2 +- .github/workflows/checks.yml | 24 ++ README.md | 1 + pyproject.toml | 16 + src/utils/huggingface.py | 261 ++++++++++++++++- tools/enforcement.config | 1 + tools/run_checks.sh | 1 + uv.lock | 305 ++++++++++++++++++++ 9 files changed, 605 insertions(+), 8 deletions(-) diff --git a/.claude/skills/create-eval/SKILL.md b/.claude/skills/create-eval/SKILL.md index bf48e8a..283e582 100644 --- a/.claude/skills/create-eval/SKILL.md +++ b/.claude/skills/create-eval/SKILL.md @@ -309,7 +309,7 @@ Implement in dependency order: dataset -> prompts -> scorer -> solver -> @task. ### 4.1 Dataset Loading -- Use `hf_dataset()` from `inspect_ai.dataset` for HuggingFace datasets +- Use `hf_dataset()` from `utils.huggingface` for HuggingFace datasets — it wraps `inspect_ai.dataset.hf_dataset` with retry-on-rate-limit/transient-error and requires a `revision=` for reproducibility - Write a `record_to_sample` function that maps raw records to `Sample` objects - Include all useful fields in `sample.metadata` for debugging - Use stable, canonical IDs for `sample.id` diff --git a/.claude/skills/investigate-dataset/SKILL.md b/.claude/skills/investigate-dataset/SKILL.md index 156ec79..59fde2e 100644 --- a/.claude/skills/investigate-dataset/SKILL.md +++ b/.claude/skills/investigate-dataset/SKILL.md @@ -95,6 +95,6 @@ uv run python -c "from datasets import load_dataset; print(load_dataset('org/nam HuggingFace caches at `~/.cache/huggingface/datasets/`. To force re-download set `HF_DATASETS_OFFLINE=0` and pass `download_mode="force_redownload"` to `load_dataset`, or simply delete the cache directory. - **Gated dataset**: Run `huggingface-cli login` or set `HF_TOKEN` -- **Rate limited**: wait and retry, or set `HF_TOKEN` to authenticate (raises HuggingFace's per-IP rate limit) +- **Rate limited**: use the `hf_dataset` wrapper in `src/utils/huggingface.py` — it retries with exponential backoff on 429s and 502s. Authenticating with `HF_TOKEN` also raises HuggingFace's per-IP rate limit. - **Large dataset**: Use `streaming=True` or `split="train[:1000]"` for sampling - **Missing revision**: Check the dataset's "Files and versions" tab on HuggingFace diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index 6c9867b..fdf62f3 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -21,6 +21,7 @@ jobs: outputs: enforce_ruff: ${{ steps.load.outputs.enforce_ruff }} enforce_mypy: ${{ steps.load.outputs.enforce_mypy }} + enforce_tests: ${{ steps.load.outputs.enforce_tests }} enforce_posix_check: ${{ steps.load.outputs.enforce_posix_check }} enforce_unlisted_evals: ${{ steps.load.outputs.enforce_unlisted_evals }} enforce_package: ${{ steps.load.outputs.enforce_package }} @@ -80,6 +81,29 @@ jobs: - name: Run mypy run: uv run mypy --version && uv run mypy src tests + tests: + runs-on: ubuntu-latest + needs: config + continue-on-error: ${{ needs.config.outputs.enforce_tests == 'false' }} + strategy: + fail-fast: false + matrix: + python-version: ["3.11", "3.12", "3.13"] + env: + UV_PYTHON: ${{ matrix.python-version }} + steps: + - uses: actions/checkout@v5 + - uses: astral-sh/setup-uv@v7 + - uses: actions/setup-python@v6 + with: + python-version: ${{ matrix.python-version }} + - name: Install dependencies + run: uv sync --frozen + - name: Run pytest + # Skip slow tests by default (use --runslow on a manual dispatch + # if you want them in CI). GIT_LFS_SKIP_SMUDGE matches make test. + run: GIT_LFS_SKIP_SMUDGE=1 uv run pytest -q + posix-code-check: runs-on: ubuntu-latest needs: config diff --git a/README.md b/README.md index 8f56c99..e2a33fd 100644 --- a/README.md +++ b/README.md @@ -247,6 +247,7 @@ All toggles live in [`tools/enforcement.config`](tools/enforcement.config) — e - `ENFORCE_RUFF` — Ruff format + lint - `ENFORCE_MYPY` — Mypy static types +- `ENFORCE_TESTS` — `pytest` against `tests/` (skips `@pytest.mark.slow` by default; use `--runslow` to include) - `ENFORCE_POSIX_CHECK` — POSIX-only Python idioms (`tools/check_posix_code.py`) - `ENFORCE_UV_LOCK` — `uv.lock` in sync with `pyproject.toml` - `ENFORCE_UNLISTED_EVALS` — eval directories must be registered in diff --git a/pyproject.toml b/pyproject.toml index bc5e0e0..343adcc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -113,6 +113,14 @@ ignore_missing_imports = true module = ["add_readme_section", "generate_readmes"] ignore_missing_imports = true +[[tool.mypy.overrides]] +# transformers / sentence_transformers are lazy-imported inside the +# utils.huggingface wrappers. They aren't a runtime requirement of the +# template, only of evals that opt to use them, so let mypy treat them +# as untyped rather than requiring the stub to be installed everywhere. +module = ["transformers", "transformers.*", "sentence_transformers", "sentence_transformers.*"] +ignore_missing_imports = true + [project] name = "inspect-eval-template" description = "Template for Inspect AI evaluations" @@ -134,6 +142,13 @@ classifiers = [ dependencies = [ "inspect_ai>=0.3.158", "pyyaml>=5.1.0", + # Powers src/utils/huggingface.py (retry-aware HF wrappers). If your + # eval doesn't touch HuggingFace and you want a leaner environment, + # remove these here and delete the wrapper section in + # src/utils/huggingface.py. + "backoff>=2.0", + "datasets>=2.14", + "huggingface_hub>=0.20", # USER: Add your eval's dependencies here ] @@ -165,6 +180,7 @@ dev = [ "ruff==0.13.2", "toml", "types-PyYAML", + "types-requests", ] [tool.check-wheel-contents] diff --git a/src/utils/huggingface.py b/src/utils/huggingface.py index a246104..fc5636b 100644 --- a/src/utils/huggingface.py +++ b/src/utils/huggingface.py @@ -1,10 +1,24 @@ -"""Helpers for asserting the schema of HuggingFace datasets used by evals. +"""Helpers for HuggingFace dataset integration. -The goal is to lock down the dataset's `splits` and `features` so that an -upstream schema change (e.g. a renamed column) fails a quick local test -rather than silently producing samples with empty fields at eval time. +Two distinct concerns live here: -Typical usage in `tests//test_.py`: +1. **Schema assertions** (``DatasetInfosDict``, + ``get_dataset_infos_dict``, ``assert_huggingface_dataset_structure``) — + lock down a dataset's ``splits`` and ``features`` so an upstream schema + change (e.g. a renamed column) fails a quick local test rather than + silently producing samples with empty fields at eval time. + +2. **Retry-aware wrappers** (``hf_dataset``, ``load_dataset``, + ``snapshot_download``, ``hf_hub_download``, and friends) — wrap the + underlying inspect_ai / datasets / huggingface_hub APIs with exponential + backoff and jitter so HuggingFace's intermittent rate limits (HTTP 429) + and transient gateway errors (HTTP 502) are absorbed without surfacing. + The wrappers also require a ``revision=`` keyword so HF resources are + pinned for reproducibility. Adapted from + https://github.com/UKGovernmentBEIS/inspect_evals/blob/main/src/inspect_evals/utils/huggingface.py + (the upstream's telemetry hooks are stubbed out). + +Typical schema-assertion usage in ``tests//test_.py``: import pytest from utils.huggingface import ( @@ -35,15 +49,41 @@ def test_dataset_structure(dataset_infos: DatasetInfosDict) -> None: } }, ) + +Typical wrapper usage in eval code: + + from utils.huggingface import hf_dataset + + dataset = hf_dataset( + path="org/dataset-name", + split="test", + revision="abc1234...", # required + sample_fields=record_to_sample, + ) """ from __future__ import annotations -from typing import Any +import os +from typing import Any, Callable, TypedDict, TypeVar + +import backoff +import datasets +import huggingface_hub +import inspect_ai.dataset +from datasets.exceptions import DatasetGenerationError +from huggingface_hub.errors import HfHubHTTPError, LocalEntryNotFoundError +from requests.exceptions import ReadTimeout +from typing_extensions import ParamSpec DatasetInfosDict = dict[str, Any] +# --------------------------------------------------------------------------- +# Schema assertions +# --------------------------------------------------------------------------- + + def get_dataset_infos_dict(path: str, revision: str | None = None) -> DatasetInfosDict: """Load the metadata for a HuggingFace dataset without downloading samples. @@ -104,3 +144,212 @@ def assert_huggingface_dataset_structure( f"Config {config_name!r} feature {feature!r} expected dtype " f"matching {expected_dtype!r}, got {actual_dtype!r}" ) + + +# --------------------------------------------------------------------------- +# Retry-aware HF / inspect_ai dataset wrappers +# --------------------------------------------------------------------------- + + +def _record_backoff(details: object) -> None: + """Telemetry hook stub. + + Upstream records HF call patterns to its own telemetry; the template + no-ops since contributors aren't running registry-scale batch jobs. + """ + + +def _record_hf_call(_name: str) -> None: + """Telemetry hook stub. See ``_record_backoff``.""" + + +Jitterer = Callable[[float], float] + + +class BackoffConfig(TypedDict): + max_tries: int + initial_wait_mins: int + max_wait_mins: int + jitter: Jitterer | None + + +P = ParamSpec("P") +R = TypeVar("R") + + +# CI runs a denser cluster of HF requests than an individual contributor; +# allow more retry attempts there. +HF_RATE_LIMIT_WINDOW_MINS = 5 +STANDARD_BACKOFF_CONFIG: BackoffConfig = { + "max_tries": 3, + "initial_wait_mins": 1, + "max_wait_mins": HF_RATE_LIMIT_WINDOW_MINS, + "jitter": backoff.full_jitter, +} +CI_BACKOFF_CONFIG: BackoffConfig = { + "max_tries": 5, + "initial_wait_mins": 1, + "max_wait_mins": HF_RATE_LIMIT_WINDOW_MINS, + "jitter": backoff.full_jitter, +} + +BACKOFF_CONFIG = CI_BACKOFF_CONFIG if os.getenv("CI") else STANDARD_BACKOFF_CONFIG + +TRANSIENT_ERROR_CODES = { + 429: "Too many requests... likely the HF rate limit policy has been violated", + 502: "Bad gateway... likely a transient server-side / network issue", +} + + +def hf_backoff_policy( + max_tries: int, + initial_wait_mins: int, + max_wait_mins: int, + jitter: Jitterer | None, +) -> Callable[[Callable[P, R]], Callable[P, R]]: + """Decorator: retry HF-bound calls with exponential backoff + jitter. + + See HF rate limits: https://huggingface.co/docs/hub/rate-limits#rate-limit-tiers + See ``Adding Jitter``: https://aws.amazon.com/blogs/architecture/exponential-backoff-and-jitter/ + """ + return backoff.on_exception( + backoff.expo, + ( + HfHubHTTPError, + LocalEntryNotFoundError, + FileNotFoundError, + ValueError, + DatasetGenerationError, + OSError, + ), + max_tries=max_tries, + factor=60 * initial_wait_mins, + max_value=60 * max_wait_mins, + jitter=jitter, + on_backoff=_record_backoff, + giveup=lambda e: not should_retry(e), + ) + + +def should_retry(err: Exception) -> bool: + """Return True if the exception is a transient HF failure worth retrying. + + ``HfHubHTTPError`` is retried for 429 (rate limit) and 502 (bad gateway). + ``LocalEntryNotFoundError`` is retried because once HF rate-limits, the + library tries the local cache and raises this if there is no local copy. + ``FileNotFoundError`` is retried only when its message indicates the + same network-cache-miss path (see datasets/load.py). + ``ValueError`` is retried only when its message indicates a missing + cache. + ``ReadTimeout`` is retried when the URL points at huggingface.co. + """ + if isinstance(err, LocalEntryNotFoundError): + return True + + if isinstance(err, HfHubHTTPError): + response = err.response + return response is not None and response.status_code in TRANSIENT_ERROR_CODES + + if isinstance(err, DatasetGenerationError): + return True + + if isinstance(err, FileNotFoundError): + inferred_network_errors = [ + "An error happened while trying to locate the file on the Hub " + "and we cannot find the requested files in the local cache. " + "Please check your connection and try again or make sure your " + "Internet connection is on.", + "on the Hugging Face Hub either", + ] + return any( + inferred_network_error in str(err) + for inferred_network_error in inferred_network_errors + ) + + if isinstance(err, ValueError): + return "Couldn't find cache for" in str(err) + + if isinstance(err, ReadTimeout): + return "huggingface.co" in str(err) + + return False + + +def _ensure_revision(func_name: str, kwargs: dict[str, Any]) -> None: + if not kwargs.get("revision"): + raise TypeError( + f"{func_name}() requires a 'revision' keyword argument " + "to ensure reproducibility. Pass a specific commit hash or tag." + ) + + +@hf_backoff_policy(**BACKOFF_CONFIG) +def hf_dataset(*args: Any, **kwargs: Any) -> inspect_ai.dataset.Dataset: + """Call ``inspect_ai.dataset.hf_dataset`` with exponential backoff and retry.""" + _record_hf_call("hf_dataset") + _ensure_revision("hf_dataset", kwargs) + return inspect_ai.dataset.hf_dataset(*args, **kwargs) + + +@hf_backoff_policy(**BACKOFF_CONFIG) +def load_dataset(*args: Any, **kwargs: Any) -> datasets.Dataset: + """Call ``datasets.load_dataset`` with exponential backoff and retry.""" + _record_hf_call("load_dataset") + _ensure_revision("load_dataset", kwargs) + return datasets.load_dataset(*args, **kwargs) + + +@hf_backoff_policy(**BACKOFF_CONFIG) +def snapshot_download(*args: Any, **kwargs: Any) -> Any: + """Call ``huggingface_hub.snapshot_download`` with exponential backoff and retry.""" + _record_hf_call("snapshot_download") + _ensure_revision("snapshot_download", kwargs) + return huggingface_hub.snapshot_download(*args, **kwargs) + + +@hf_backoff_policy(**BACKOFF_CONFIG) +def hf_hub_download(*args: Any, **kwargs: Any) -> Any: + """Call ``huggingface_hub.hf_hub_download`` with exponential backoff and retry.""" + _record_hf_call("hf_hub_download") + _ensure_revision("hf_hub_download", kwargs) + return huggingface_hub.hf_hub_download(*args, **kwargs) + + +@hf_backoff_policy(**BACKOFF_CONFIG) +def sentence_transformer(*args: Any, **kwargs: Any) -> Any: + """Call ``sentence_transformers.SentenceTransformer`` with exponential backoff and retry.""" + from sentence_transformers import SentenceTransformer + + _record_hf_call("sentence_transformer") + _ensure_revision("sentence_transformer", kwargs) + return SentenceTransformer(*args, **kwargs) + + +@hf_backoff_policy(**BACKOFF_CONFIG) +def transformers_pipeline(*args: Any, **kwargs: Any) -> Any: + """Call ``transformers.pipeline`` with exponential backoff and retry.""" + import transformers + + _record_hf_call("transformers_pipeline") + _ensure_revision("transformers_pipeline", kwargs) + return transformers.pipeline(*args, **kwargs) + + +@hf_backoff_policy(**BACKOFF_CONFIG) +def auto_model_for_sequence_classification(*args: Any, **kwargs: Any) -> Any: + """Call ``transformers.AutoModelForSequenceClassification.from_pretrained`` with backoff.""" + from transformers import AutoModelForSequenceClassification + + _record_hf_call("auto_model_for_sequence_classification") + _ensure_revision("auto_model_for_sequence_classification", kwargs) + return AutoModelForSequenceClassification.from_pretrained(*args, **kwargs) + + +@hf_backoff_policy(**BACKOFF_CONFIG) +def auto_tokenizer(*args: Any, **kwargs: Any) -> Any: + """Call ``transformers.AutoTokenizer.from_pretrained`` with backoff.""" + from transformers import AutoTokenizer + + _record_hf_call("auto_tokenizer") + _ensure_revision("auto_tokenizer", kwargs) + return AutoTokenizer.from_pretrained(*args, **kwargs) diff --git a/tools/enforcement.config b/tools/enforcement.config index eed7e67..194ca3f 100644 --- a/tools/enforcement.config +++ b/tools/enforcement.config @@ -13,6 +13,7 @@ ENFORCE_POSIX_CHECK=true ENFORCE_UV_LOCK=true ENFORCE_UNLISTED_EVALS=true ENFORCE_PACKAGE=true +ENFORCE_TESTS=true # Default-advisory (structure / style) — flip to true to make blocking. ENFORCE_AUTOLINT=false diff --git a/tools/run_checks.sh b/tools/run_checks.sh index 272f18d..5adde46 100755 --- a/tools/run_checks.sh +++ b/tools/run_checks.sh @@ -71,6 +71,7 @@ run_check() { run_check RUFF "Ruff format" uv run ruff format --check run_check RUFF "Ruff lint" uv run ruff check run_check MYPY "Mypy" uv run mypy src tests +run_check TESTS "Pytest" uv run pytest -q run_check UV_LOCK "uv lock check" bash -c ' before=$(sha256sum uv.lock 2>/dev/null | cut -d" " -f1) uv lock >/dev/null 2>&1 diff --git a/uv.lock b/uv.lock index 6874594..6a5b02b 100644 --- a/uv.lock +++ b/uv.lock @@ -240,6 +240,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" }, ] +[[package]] +name = "backoff" +version = "2.2.1" +source = { registry = 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