From 7a4d28181087c6f387bc7285634538db05327d96 Mon Sep 17 00:00:00 2001 From: Ben Lewis Date: Mon, 4 May 2026 17:12:14 +0300 Subject: [PATCH 01/11] Try to fix `pytest-sanity` failing due to too many parallel runs and add Python 3.14 support --- .github/workflows/pytest-sanity.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/pytest-sanity.yaml b/.github/workflows/pytest-sanity.yaml index d2dd2a36..a5423d4c 100644 --- a/.github/workflows/pytest-sanity.yaml +++ b/.github/workflows/pytest-sanity.yaml @@ -19,10 +19,10 @@ jobs: permissions: contents: read strategy: - max-parallel: 4 + max-parallel: 2 matrix: os: [ubuntu-latest, macos-latest, windows-latest] - python-version: ["3.10", "3.11", "3.12", "3.13"] + python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"] steps: - uses: actions/checkout@v4 with: From b5ad3ffe4e47cdb0728897a2bc250f732ef690a7 Mon Sep 17 00:00:00 2001 From: Ben Lewis Date: Mon, 4 May 2026 17:19:03 +0300 Subject: [PATCH 02/11] Fix concurrency cancel issue --- .github/workflows/pytest-sanity.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pytest-sanity.yaml b/.github/workflows/pytest-sanity.yaml index a5423d4c..ca225cab 100644 --- a/.github/workflows/pytest-sanity.yaml +++ b/.github/workflows/pytest-sanity.yaml @@ -10,7 +10,7 @@ on: types: [checks_requested] concurrency: - group: ${{ github.workflow }}-${{ github.ref }} + group: ${{ github.workflow }}-${{ github.ref }}-${{ matrix.os }} cancel-in-progress: true jobs: From 09410dc352b13cc6a115750e9e1fd00cbda00c5d Mon Sep 17 00:00:00 2001 From: Ben Lewis Date: Mon, 4 May 2026 17:26:31 +0300 Subject: [PATCH 03/11] Fix package installs in Python 3.14 by changing `pydantic` minimum version --- pyproject.toml | 3 +- uv.lock | 182 +++++++++++++++++++++++++++++++------------------ 2 files changed, 118 insertions(+), 67 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c246471e..97ff07c6 100644 --- a/pyproject.toml 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changed, 3 insertions(+), 4 deletions(-) diff --git a/.github/workflows/pytest-sanity.yaml b/.github/workflows/pytest-sanity.yaml index ca225cab..6ccda8e1 100644 --- a/.github/workflows/pytest-sanity.yaml +++ b/.github/workflows/pytest-sanity.yaml @@ -9,10 +9,6 @@ on: merge_group: types: [checks_requested] -concurrency: - group: ${{ github.workflow }}-${{ github.ref }}-${{ matrix.os }} - cancel-in-progress: true - jobs: pytest_sanity: runs-on: ${{ matrix.os }} @@ -23,6 +19,9 @@ jobs: matrix: os: [ubuntu-latest, macos-latest, windows-latest] python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"] + concurrency: + group: ${{ github.workflow }}-${{ github.ref }}-${{ matrix.os }} + cancel-in-progress: true steps: - uses: actions/checkout@v4 with: From a3ca20c7da51ef2ae3ec1dc4c68a923f7ca9b277 Mon Sep 17 00:00:00 2001 From: Ben Lewis Date: Mon, 4 May 2026 17:34:22 +0300 Subject: [PATCH 05/11] Fix concurrency group --- .github/workflows/pytest-sanity.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pytest-sanity.yaml b/.github/workflows/pytest-sanity.yaml index 6ccda8e1..eba259fa 100644 --- a/.github/workflows/pytest-sanity.yaml +++ b/.github/workflows/pytest-sanity.yaml @@ -20,7 +20,7 @@ jobs: os: [ubuntu-latest, macos-latest, windows-latest] python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"] concurrency: - group: ${{ github.workflow }}-${{ github.ref }}-${{ matrix.os }} + group: ${{ github.workflow }}-${{ github.ref }}-${{ matrix.os }}-${{ maxtrix.python-version }} cancel-in-progress: true steps: - uses: actions/checkout@v4 From 568754a32a2d15ee563f110b7c2d4135f8139ea1 Mon Sep 17 00:00:00 2001 From: Ben Lewis Date: Mon, 4 May 2026 17:38:07 +0300 Subject: [PATCH 06/11] Fix typo in concurrency group --- .github/workflows/pytest-sanity.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pytest-sanity.yaml b/.github/workflows/pytest-sanity.yaml index eba259fa..f3a7a6f8 100644 --- a/.github/workflows/pytest-sanity.yaml +++ b/.github/workflows/pytest-sanity.yaml @@ -20,7 +20,7 @@ jobs: os: [ubuntu-latest, macos-latest, windows-latest] python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"] concurrency: - group: ${{ github.workflow }}-${{ github.ref }}-${{ matrix.os }}-${{ maxtrix.python-version }} + group: ${{ github.workflow }}-${{ github.ref }}-${{ matrix.os }}-${{ matrix.python-version }} cancel-in-progress: true steps: - uses: actions/checkout@v4 From 8541d009f26f062739df432ba2c122125029d1eb Mon Sep 17 00:00:00 2001 From: Ben Lewis Date: Mon, 30 Mar 2026 11:36:09 +0300 Subject: [PATCH 07/11] Drop `DefaultUtility` to match server behavior --- hirundo/unlearning_llm.py | 28 ++++--------------- .../test_bias_run_info_utilities.py | 6 ++++ 2 files changed, 11 insertions(+), 23 deletions(-) create mode 100644 tests/unlearning-llm/test_bias_run_info_utilities.py diff --git a/hirundo/unlearning_llm.py b/hirundo/unlearning_llm.py index 00375dc1..14a139d3 100644 --- a/hirundo/unlearning_llm.py +++ b/hirundo/unlearning_llm.py @@ -4,7 +4,7 @@ from enum import Enum from typing import TYPE_CHECKING, Literal, overload -from pydantic import BaseModel, ConfigDict +from pydantic import BaseModel, ConfigDict, Field from tqdm import tqdm from tqdm.contrib.logging import logging_redirect_tqdm @@ -198,15 +198,6 @@ class UnlearningLlmAdvancedOptions(BaseModel): max_tokens_for_model: dict[DatasetType, int] | int | None = None -class UtilityType(str, Enum): - DEFAULT = "DEFAULT" - CUSTOM = "CUSTOM" - - -class DefaultUtility(BaseModel): - utility_type: Literal[UtilityType.DEFAULT] = UtilityType.DEFAULT - - class HirundoCSVDataset(BaseModel): type: Literal["HirundoCSV"] = "HirundoCSV" csv_url: str @@ -221,7 +212,6 @@ class HuggingFaceDataset(BaseModel): class CustomUtility(BaseModel): - utility_type: Literal[UtilityType.CUSTOM] = UtilityType.CUSTOM dataset: CustomDataset @@ -256,8 +246,6 @@ class CustomBehavior(BaseModel): BiasBehavior | HallucinationBehavior | SecurityBehavior | CustomBehavior ) -TargetUtility = DefaultUtility | CustomUtility - class LlmRunInfo(BaseModel): model_config = ConfigDict(protected_namespaces=("model_validate", "model_dump")) @@ -265,7 +253,7 @@ class LlmRunInfo(BaseModel): organization_id: int | None = None name: str | None = None target_behaviors: list[TargetBehavior] - target_utilities: list[TargetUtility] + target_utilities: list[CustomUtility] = Field(default_factory=list) advanced_options: UnlearningLlmAdvancedOptions | None = None @@ -273,27 +261,21 @@ class BiasRunInfo(BaseModel): bias_type: BBQBiasType organization_id: int | None = None name: str | None = None - target_utilities: list[TargetUtility] | None = None + target_utilities: list[CustomUtility] = Field(default_factory=list) advanced_options: UnlearningLlmAdvancedOptions | None = None def to_run_info(self) -> LlmRunInfo: - default_utilities: list[TargetUtility] = ( - [DefaultUtility()] - if self.target_utilities is None - else list(self.target_utilities) - ) return LlmRunInfo( organization_id=self.organization_id, name=self.name, target_behaviors=[BiasBehavior(bias_type=self.bias_type)], - target_utilities=default_utilities, + target_utilities=self.target_utilities, advanced_options=self.advanced_options, ) OutputLlm = dict[str, object] BehaviorOptions = TargetBehavior -UtilityOptions = TargetUtility CeleryTaskState = str @@ -305,7 +287,7 @@ class OutputUnlearningLlmRun(BaseModel): model_id: int model: OutputLlm target_behaviors: list[BehaviorOptions] - target_utilities: list[UtilityOptions] + target_utilities: list[CustomUtility] advanced_options: UnlearningLlmAdvancedOptions | None run_id: str mlflow_run_id: str | None diff --git a/tests/unlearning-llm/test_bias_run_info_utilities.py b/tests/unlearning-llm/test_bias_run_info_utilities.py new file mode 100644 index 00000000..916606d6 --- /dev/null +++ b/tests/unlearning-llm/test_bias_run_info_utilities.py @@ -0,0 +1,6 @@ +from hirundo import BBQBiasType, BiasRunInfo + + +def test_bias_run_info_defaults_to_empty_utility_list() -> None: + run_info = BiasRunInfo(bias_type=BBQBiasType.ALL).to_run_info() + assert run_info.target_utilities == [] From 8b0ed0470f2116008037a8a6665da24f5b01f583 Mon Sep 17 00:00:00 2001 From: Ben Lewis Date: Sun, 19 Apr 2026 21:51:12 +0300 Subject: [PATCH 08/11] Fix vulnerabilities --- VULNERABILITIES.md | 53 ++++ pyproject.toml | 26 +- .../llm_pipeline_transformers_test.py | 240 ++++++++++++++++ uv.lock | 269 ++++++++++-------- 4 files changed, 452 insertions(+), 136 deletions(-) create mode 100644 VULNERABILITIES.md create mode 100644 tests/unlearning-llm/llm_pipeline_transformers_test.py diff --git a/VULNERABILITIES.md b/VULNERABILITIES.md new file mode 100644 index 00000000..197d3177 --- /dev/null +++ b/VULNERABILITIES.md @@ -0,0 +1,53 @@ +# Vulnerability Update Guide + +Use this file when updating dependency floors in [pyproject.toml](pyproject.toml) to address vulnerability findings. + +## Rules + +1. Keep the dependency line and its vulnerability note together. + Example: + ```toml + "requests>=2.33.0", + # ⬆️ Required to fix vulnerability CVE-2026-25645 + ``` + The up-arrow comment goes immediately below the package line, not above it. + +2. Mention only the advisory that necessitates the current minimum version. + If `authlib>=1.6.11` is required because `GHSA-jj8c-mmj3-mmgv` is the first fix at that floor, mention only that advisory. + Do not list older advisories that are also fixed incidentally by the same newer version. + +3. Do not keep stale version-history commentary. + Keep only the final package floor and the advisory tied to that floor. + +4. Treat major-version upgrades as compatibility risks. + Before keeping a major bump such as `transformers` or `pytest`, add or run tests that exercise the affected public SDK behavior. + +5. Prefer the smallest safe version bump that clears the finding. + If a vulnerability is fixed in `46.0.6`, do not cite it as justification for `46.0.7` unless `46.0.7` is required by another active finding. + +## Workflow + +1. Update the minimum version in `pyproject.toml`. +2. Place the vulnerability comment immediately below the changed dependency line. +3. Recompile the dependency set from `pyproject.toml`. + Example: + ```bash + UV_CACHE_DIR=/tmp/uv-cache uv pip compile pyproject.toml --group dev --group docs --group deploy --extra pandas --extra polars --extra transformers -o /tmp/hirundo-all-requirements.txt + ``` +4. Audit the compiled output. + Example: + ```bash + UV_CACHE_DIR=/tmp/uv-cache uv run pip-audit --no-deps --disable-pip -r /tmp/hirundo-all-requirements.txt -f json + ``` +5. Run validation for compatibility-sensitive changes. + Commands: + ```bash + .venv/bin/pytest + .venv/bin/basedpyright + ``` + +## Repo-specific notes + +- This repository has many integration-heavy tests that require credentials such as `AWS_ACCESS_KEY`, `GCP_CREDENTIALS`, and `HUGGINGFACE_ACCESS_TOKEN`. +- If full `pytest` is unavailable because credentials are missing, report that explicitly and run any safe targeted tests that cover the changed behavior. +- For `transformers` changes, keep coverage on the Hugging Face pipeline path in [tests/unlearning-llm/llm_pipeline_transformers_test.py](tests/unlearning-llm/llm_pipeline_transformers_test.py). diff --git a/pyproject.toml b/pyproject.toml index 97ff07c6..562b1ef7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,9 +32,9 @@ dependencies = [ "httpx-sse>=0.4.0", "tqdm>=4.66.5", "h11>=0.16.0", + "requests>=2.33.0", # ⬆️ Required to fix vulnerability GHSA-vqfr-h8mv-ghfj - "requests>=2.32.4", - # ⬆️ Required to fix vulnerability GHSA-9hjg-9r4m-mvj7 + # ⬆️ Required to fix vulnerability CVE-2026-25645 "urllib3>=2.6.3", # ⬆️ Required to fix vulnerability CVE-2026-21441 "setuptools>=78.1.1", @@ -52,7 +52,12 @@ Homepage = "https://github.com/Hirundo-io/hirundo-python-sdk" [project.optional-dependencies] pandas = ["pandas>=2.2.3"] polars = ["polars>=1.0.0"] -transformers = ["transformers>=4.57.3", "peft>=0.18.1", "accelerate>=1.12.0"] +transformers = [ + "transformers>=5.0.0rc3", + # ⬆️ Required to fix vulnerability CVE-2026-1839 + "peft>=0.18.1", + "accelerate>=1.12.0", +] [dependency-groups] dev = [ @@ -60,20 +65,21 @@ dev = [ "numpy>=2.1.3; sys_platform == 'darwin'", # ⬆️ Ensure macOS runners resolve a NumPy version with prebuilt wheels in `pytest_sanity`. "types-setuptools>=69.5.0", - "pytest>=8.2.0", + "pytest>=9.0.3", + # ⬆️ Required to fix vulnerability CVE-2025-71176 "pytest-asyncio>=0.23.6", - "uv>=0.9.29", + "uv>=0.11.6", + # ⬆️ Required to fix vulnerability GHSA-pjjw-68hj-v9mw "pre-commit>=3.7.1", "basedpyright==1.37.1", "virtualenv>=20.36.1", - # ⬆️ Needed for `pre-commit` version fix for vulnerability GHSA-rqc4-2hc7-8c8v - "authlib>=1.6.6", - # ⬆️ Required to fix vulnerability CVE-2025-68158 + "authlib>=1.6.11", + # ⬆️ Required to fix vulnerability GHSA-jj8c-mmj3-mmgv "ruff>=0.12.0", "bumpver>=2025.1131", "platformdirs>=4.3.6", - "cryptography>=46.0.5", - # ⬆️ Required to fix vulnerability CVE-2026-26007 + "cryptography>=46.0.7", + # ⬆️ Required to fix vulnerability CVE-2026-39892 "jinja2>=3.1.6", # ⬆️ Required to fix vulnerabilities GHSA-cpwx-vrp4-4pq7 , GHSA-gmj6-6f8f-6699 & GHSA-q2x7-8rv6-6q7h "filelock>=3.20.3", diff --git a/tests/unlearning-llm/llm_pipeline_transformers_test.py b/tests/unlearning-llm/llm_pipeline_transformers_test.py new file mode 100644 index 00000000..54c48183 --- /dev/null +++ b/tests/unlearning-llm/llm_pipeline_transformers_test.py @@ -0,0 +1,240 @@ +import io +import zipfile +from typing import Any + +import pytest +from hirundo._llm_pipeline import get_hf_pipeline_for_run_given_model +from hirundo._llm_sources import HuggingFaceTransformersModel +from hirundo.unlearning_llm import LlmModel, LlmUnlearningRun + +pytest.importorskip("peft") +pytest.importorskip("transformers") + + +class FakeResponse: + def __init__(self, payload: bytes): + self.payload = payload + + def __enter__(self) -> "FakeResponse": + return self + + def __exit__(self, exc_type, exc, tb) -> None: + return None + + def raise_for_status(self) -> None: + return None + + def iter_content(self, chunk_size: int) -> list[bytes]: + del chunk_size + return [self.payload] + + +class FakeTokenizer: + def __init__(self) -> None: + self.pad_token = None + self.eos_token = "".join(["<", "eos", ">"]) + + +class FakeConfig: + def __init__(self, model_type: str): + self.model_type = model_type + + def to_dict(self) -> dict[str, str]: + return {"model_type": self.model_type} + + +@pytest.fixture +def adapter_zip_bytes() -> bytes: + zip_buffer = io.BytesIO() + with zipfile.ZipFile(zip_buffer, "w") as zip_file: + zip_file.writestr("unlearned_model_folder/adapter_config.json", "{}") + return zip_buffer.getvalue() + + +def test_text_generation_pipeline_uses_transformers_loader_api( + monkeypatch: pytest.MonkeyPatch, adapter_zip_bytes: bytes +) -> None: + tokenizer = FakeTokenizer() + config = FakeConfig(model_type="not-multimodal") + base_model = object() + peft_model = object() + pipeline_result = object() + tokenizer_calls: list[dict[str, Any]] = [] + config_calls: list[dict[str, Any]] = [] + causal_lm_calls: list[dict[str, Any]] = [] + peft_calls: list[tuple[object, str]] = [] + pipeline_calls: list[dict[str, Any]] = [] + + def fake_requests_get(*args: Any, **kwargs: Any) -> FakeResponse: + del args, kwargs + return FakeResponse(adapter_zip_bytes) + + def fake_tokenizer_from_pretrained(*args: Any, **kwargs: Any) -> FakeTokenizer: + tokenizer_calls.append({"args": args, "kwargs": kwargs}) + return tokenizer + + def fake_config_from_pretrained(*args: Any, **kwargs: Any) -> FakeConfig: + config_calls.append({"args": args, "kwargs": kwargs}) + return config + + def fake_causal_lm_from_pretrained(*args: Any, **kwargs: Any) -> object: + causal_lm_calls.append({"args": args, "kwargs": kwargs}) + return base_model + + def fake_peft_from_pretrained(model: object, path: str) -> object: + peft_calls.append((model, path)) + return peft_model + + def fake_pipeline(**kwargs: Any) -> object: + pipeline_calls.append(kwargs) + return pipeline_result + + monkeypatch.setattr( + LlmUnlearningRun, + "check_run_by_id", + lambda run_id: {"result": "https://example.invalid/adapter.zip"}, + ) + monkeypatch.setattr("hirundo._llm_pipeline.requests.get", fake_requests_get) + + from peft import PeftModel + from transformers.models.auto.configuration_auto import AutoConfig + from transformers.models.auto.modeling_auto import AutoModelForCausalLM + from transformers.models.auto.tokenization_auto import AutoTokenizer + + monkeypatch.setattr( + AutoTokenizer, "from_pretrained", fake_tokenizer_from_pretrained + ) + monkeypatch.setattr(AutoConfig, "from_pretrained", fake_config_from_pretrained) + monkeypatch.setattr( + AutoModelForCausalLM, "from_pretrained", fake_causal_lm_from_pretrained + ) + monkeypatch.setattr(PeftModel, "from_pretrained", fake_peft_from_pretrained) + monkeypatch.setattr("transformers.pipelines.pipeline", fake_pipeline) + monkeypatch.setattr("hirundo._llm_pipeline.pipeline", fake_pipeline, raising=False) + + llm = LlmModel( + model_name="demo-model", + model_source=HuggingFaceTransformersModel( + model_name="org/demo-model", + token="-".join(["hf", "token"]), + ), + ) + + pipeline_output = get_hf_pipeline_for_run_given_model( + llm, + "run-123", + device="cpu", + device_map="auto", + trust_remote_code=True, + ) + + assert pipeline_output is pipeline_result + assert tokenizer.pad_token == tokenizer.eos_token + assert tokenizer_calls == [ + { + "args": ("org/demo-model",), + "kwargs": { + "token": "-".join(["hf", "token"]), + "trust_remote_code": True, + }, + } + ] + assert config_calls == [ + { + "args": ("org/demo-model",), + "kwargs": { + "token": "-".join(["hf", "token"]), + "trust_remote_code": True, + }, + } + ] + assert causal_lm_calls == [ + { + "args": ("org/demo-model",), + "kwargs": { + "token": "-".join(["hf", "token"]), + "trust_remote_code": True, + }, + } + ] + assert peft_calls and peft_calls[0][0] is base_model + assert peft_calls[0][1].endswith("/unlearned_model_folder") + assert pipeline_calls == [ + { + "task": "text-generation", + "model": peft_model, + "tokenizer": tokenizer, + "config": config, + "device": "cpu", + "device_map": "auto", + } + ] + + +def test_multimodal_pipeline_uses_image_text_loader_when_model_type_matches( + monkeypatch: pytest.MonkeyPatch, adapter_zip_bytes: bytes +) -> None: + from transformers.models.auto.modeling_auto import ( + MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES, + ) + + multimodal_model_type = next(iter(MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES)) + tokenizer = FakeTokenizer() + config = FakeConfig(model_type=multimodal_model_type) + multimodal_base_model = object() + peft_model = object() + pipeline_result = object() + multimodal_calls: list[dict[str, Any]] = [] + + def fake_requests_get(*args: Any, **kwargs: Any) -> FakeResponse: + del args, kwargs + return FakeResponse(adapter_zip_bytes) + + monkeypatch.setattr( + LlmUnlearningRun, + "check_run_by_id", + lambda run_id: {"result": "https://example.invalid/adapter.zip"}, + ) + monkeypatch.setattr("hirundo._llm_pipeline.requests.get", fake_requests_get) + + from peft import PeftModel + from transformers.models.auto.configuration_auto import AutoConfig + from transformers.models.auto.modeling_auto import AutoModelForImageTextToText + from transformers.models.auto.tokenization_auto import AutoTokenizer + + monkeypatch.setattr( + AutoTokenizer, "from_pretrained", lambda *args, **kwargs: tokenizer + ) + monkeypatch.setattr(AutoConfig, "from_pretrained", lambda *args, **kwargs: config) + monkeypatch.setattr( + AutoModelForImageTextToText, + "from_pretrained", + lambda *args, **kwargs: multimodal_calls.append( + {"args": args, "kwargs": kwargs} + ) + or multimodal_base_model, + ) + monkeypatch.setattr(PeftModel, "from_pretrained", lambda model, path: peft_model) + monkeypatch.setattr( + "transformers.pipelines.pipeline", lambda **kwargs: pipeline_result + ) + monkeypatch.setattr( + "hirundo._llm_pipeline.pipeline", + lambda **kwargs: pipeline_result, + raising=False, + ) + + llm = LlmModel( + model_name="demo-model", + model_source=HuggingFaceTransformersModel(model_name="org/demo-model"), + ) + + pipeline_output = 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01:08:04 +0300 Subject: [PATCH 09/11] Fix additional vulnerability --- pyproject.toml | 3 ++- uv.lock | 8 ++++---- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 562b1ef7..20474671 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,7 +24,8 @@ dependencies = [ "types-PyYAML>=6.0.12", "pydantic>=2.13.0", # ⬆️ Required for Python 3.14 support - "python-dotenv>=1.0.1", + "python-dotenv>=1.2.2", + # ⬆️ Required to fix vulnerability CVE-2026-28684 "types-requests>=2.31.0", "typer>=0.12.3", "httpx>=0.27.0", diff --git a/uv.lock b/uv.lock index db3dfaa4..46ee0196 100644 --- a/uv.lock +++ b/uv.lock @@ -742,7 +742,7 @@ requires-dist = [ { name = "peft", marker = "extra == 'transformers'", specifier = ">=0.18.1" }, { name = "polars", marker = "extra == 'polars'", specifier = ">=1.0.0" }, { name = "pydantic", specifier = ">=2.13.0" }, - { name = "python-dotenv", specifier = ">=1.0.1" }, + { name = "python-dotenv", specifier = ">=1.2.2" }, { 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b/hirundo/_iter_sse_retrying.py index f9fa22a5..c14cd463 100644 --- a/hirundo/_iter_sse_retrying.py +++ b/hirundo/_iter_sse_retrying.py @@ -4,9 +4,9 @@ from collections.abc import AsyncGenerator, Generator import httpx -import urllib3 from httpx_sse import ServerSentEvent, SSEError, aconnect_sse, connect_sse from stamina import retry +from urllib3.exceptions import ReadTimeoutError from hirundo._http import requests from hirundo._timeouts import READ_TIMEOUT @@ -41,7 +41,7 @@ def iter_sse_retrying( on=( httpx.ReadError, httpx.RemoteProtocolError, - urllib3.exceptions.ReadTimeoutError, + ReadTimeoutError, ), attempts=MAX_RETRIES, ) @@ -106,7 +106,7 @@ async def aiter_sse_retrying( on=( httpx.ReadError, httpx.RemoteProtocolError, - urllib3.exceptions.ReadTimeoutError, + ReadTimeoutError, ), attempts=MAX_RETRIES, ) diff --git a/pyproject.toml b/pyproject.toml index 20474671..bec9c397 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -212,4 +212,5 @@ exclude = [ "private", "notebooks", 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d5b7685a..38450ac9 100644 --- a/tests/unlearning-llm/llm_pipeline_transformers_test.py +++ b/tests/unlearning-llm/llm_pipeline_transformers_test.py @@ -209,10 +209,10 @@ def fake_requests_get(*args: Any, **kwargs: Any) -> FakeResponse: monkeypatch.setattr( AutoModelForImageTextToText, "from_pretrained", - lambda *args, **kwargs: multimodal_calls.append( - {"args": args, "kwargs": kwargs} - ) - or multimodal_base_model, + lambda *args, **kwargs: ( + multimodal_calls.append({"args": args, "kwargs": kwargs}) + or multimodal_base_model + ), ) monkeypatch.setattr(PeftModel, "from_pretrained", lambda model, path: peft_model) monkeypatch.setattr(