diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index d89f9634..fdee14cb 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -21,7 +21,7 @@ jobs: python-version: "3.10" - name: Install poetry - run: pip install urllib3==1.26.15 poetry==1.8.3 + run: pip install urllib3==1.26.15 poetry==1.8.5 - name: Load cached venv id: cached-poetry-dependencies @@ -43,7 +43,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: [ "3.9", "3.10", "3.11", "3.12" ] + python-version: [ "3.9", "3.10", "3.11", "3.12", "3.13" ] steps: - uses: actions/checkout@v4 @@ -54,7 +54,7 @@ jobs: python-version: ${{ matrix.python-version }} - name: Install poetry - run: pip install urllib3==1.26.15 poetry==1.4.0 + run: pip install urllib3==1.26.15 poetry==1.8.5 - name: Load cached venv id: cached-poetry-dependencies diff --git a/.readthedocs.yml b/.readthedocs.yml index 35a13a8e..28d7f7d3 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -7,19 +7,15 @@ build: jobs: pre_build: - cp -r examples docs/source/ + post_create_environment: + - pip install poetry post_install: - - pip install --no-cache-dir poetry==1.8.5 - - poetry export -f requirements.txt -o requirements.txt -E all --without-hashes - - pip install --no-cache-dir -r requirements.txt + - VIRTUAL_ENV=$READTHEDOCS_VIRTUALENV_PATH poetry install -E all --no-root --with docs sphinx: builder: html configuration: docs/source/conf.py fail_on_warning: false -python: - install: - - requirements: docs/requirements.txt - formats: - pdf diff --git a/CHANGELOG.md b/CHANGELOG.md index 83ebbf97..460245c7 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,13 +5,13 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). - ## Unreleased ### Added + - `use_gpu` for PureSVD ([#229](https://github.com/MobileTeleSystems/RecTools/pull/229)) - `from_params` method for models and `model_from_params` function ([#252](https://github.com/MobileTeleSystems/RecTools/pull/252)) - +- Python 3.13 support ([#227](https://github.com/MobileTeleSystems/RecTools/pull/227)) ## [0.10.0] - 16.01.2025 diff --git a/Makefile b/Makefile index 00313539..fdde2edd 100644 --- a/Makefile +++ b/Makefile @@ -61,7 +61,7 @@ install: .venv .reports poetry run pytest ${TESTS} --cov=${SOURCES} --cov-report=xml .doctest: - poetry run pytest --doctest-modules ${SOURCES} --ignore=rectools/models/lightfm.py + poetry run pytest --doctest-modules ${SOURCES} --ignore=rectools/dataset/torch_datasets.py --ignore=rectools/models/dssm.py --ignore=rectools/tools/ann.py coverage: .venv 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"sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"}, @@ -3625,6 +4360,17 @@ files = [ {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, ] +[[package]] +name = "webencodings" +version = "0.5.1" +description = "Character encoding aliases for legacy web content" +optional = false +python-versions = "*" +files = [ + {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, + {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, +] + [[package]] name = "widgetsnbextension" version = "4.0.13" @@ -3761,5 +4507,5 @@ visuals = ["ipywidgets", "nbformat", "plotly"] [metadata] lock-version = "2.0" -python-versions = ">=3.9, <3.13" -content-hash = "894765cd6220c87dd20ad10a0926b39298bfbc2d215ef0091dbf0849a468b349" +python-versions = ">=3.9, <3.14" +content-hash = "1bd64d0d6425a10f94b5d873bdf2feff7c2fde65675f18e98ecbcf2c0cf39c2b" diff --git a/pyproject.toml b/pyproject.toml index 50a9b973..c363c0b1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,6 +38,7 @@ classifiers = [ "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3", "Topic :: Software Development :: Libraries :: Python Modules", "Intended Audience :: Science/Research", @@ -52,13 +53,20 @@ packages = [ [tool.poetry.dependencies] -python = ">=3.9, <3.13" +python = ">=3.9, <3.14" numpy = [ {version = ">=1.22, <2.0.0", python = "<3.12"}, - {version = ">=1.26, <2.0.0", python = "3.12"} # numpy <1.26 fails to install on Python 3.12 + {version = ">=1.26, <2.0.0", python = "3.12"}, # numpy <1.26 fails to install on Python 3.12 + {version = ">=2.1.0, <3.0.0", python = ">=3.13"} # numpy <2.1 fails to install on Python 3.13 +] +pandas = [ + {version = ">=1.5.0, <3.0.0", python = "<3.13"}, + {version = ">=2.2.3, <3.0.0", python = ">=3.13"} # pandas <2.2.3 fails to install on Python 3.13 +] +scipy = [ + {version = "^1.10.1, <1.13", python = "<3.10"}, # there is a bug in 1.13* https://github.com/scipy/scipy/issues/20670 + {version = ">=1.14.1, <2.0.0", python = ">=3.10"} # scipy >=1.14.1 fails to install on Python 3.9 ] -pandas = ">=1.5.0, <3.0.0" -scipy = "^1.10.1, <1.13" # in 1.13 were introduced significant changes breaking our logic tqdm = "^4.27.0" implicit = "^0.7.1" attrs = ">=19.1.0,<24.0.0" @@ -76,17 +84,16 @@ nmslib-metabrainz = {version = "^2.1.3", python = ">=3.11, <3.13", optional = tr # The latest torch version available for MacOSX + x86_64 is 2.2.2 torch = [ - {version = ">=1.6.0, <2.3.0", markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", optional = true}, - {version = ">=1.6.0, <3.0.0", optional = true} + {version = ">=1.6.0, <2.3.0", python = "<3.13", markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", optional = true}, + {version = ">=1.6.0, <3.0.0", python = "<3.13", optional = true}, ] -pytorch-lightning = {version = ">=1.6.0, <3.0.0", optional = true} +pytorch-lightning = {version = ">=1.6.0, <3.0.0", python = "<3.13", optional = true} ipywidgets = {version = ">=7.7,<8.2", optional = true} plotly = {version="^5.22.0", optional = true} nbformat = {version = ">=4.2.0", optional = true} cupy-cuda12x = {version = "^13.3.0", python = "<3.13", optional = true} - [tool.poetry.extras] lightfm = ["rectools-lightfm"] nmslib = ["nmslib", "nmslib-metabrainz"] @@ -103,13 +110,13 @@ all = [ [tool.poetry.group.dev.dependencies] -black = "24.4.2" +black = "24.10.0" isort = "5.13.2" pylint = "3.1.0" mypy = "1.13.0" flake8 = "7.0.0" bandit = "1.7.8" -pytest = "8.1.1" +pytest = "8.3.3" radon = "6.0.1" coverage = "7.5.0" autopep8 = "2.1.0" @@ -122,10 +129,17 @@ pytest-mock = "3.14.0" click = "8.1.7" gitpython = "3.1.43" +[tool.poetry.group.docs] +optional = true + +[tool.poetry.group.docs.dependencies] +sphinx = "5.1.1" +nbsphinx = "0.8.9" +sphinx-rtd-theme = "1.0.0" [tool.black] line-length = 120 -target-version = ["py39", "py310", "py311", "py312"] +target-version = ["py39", "py310", "py311", "py312", "py313"] [build-system] diff --git a/rectools/metrics/scoring.py b/rectools/metrics/scoring.py index 91d370b1..bb58715e 100644 --- a/rectools/metrics/scoring.py +++ b/rectools/metrics/scoring.py @@ -211,4 +211,4 @@ def calc_metrics( # noqa # pylint: disable=too-many-branches,too-many-locals,t if len(results) < expected_results_len: warnings.warn("Custom metrics are not supported.") - return results + return {k: v.item() if hasattr(v, "item") else v for k, v in results.items()} diff --git a/tests/dataset/test_torch_dataset.py b/tests/dataset/test_torch_dataset.py index 0881a5be..8f88e6f2 100644 --- a/tests/dataset/test_torch_dataset.py +++ b/tests/dataset/test_torch_dataset.py @@ -13,15 +13,28 @@ # limitations under the License. # pylint: disable=attribute-defined-outside-init,consider-using-enumerate +import sys + import numpy as np import pandas as pd import pytest -import torch + +try: + import torch +except ImportError: + pass + from scipy import sparse from rectools.columns import Columns from rectools.dataset import Dataset -from rectools.dataset.torch_datasets import DSSMItemDataset, DSSMTrainDataset, DSSMUserDataset + +try: + from rectools.dataset.torch_datasets import DSSMItemDataset, DSSMTrainDataset, DSSMUserDataset +except ModuleNotFoundError: + pass + +pytestmark = pytest.mark.skipif(sys.version_info >= (3, 13), reason="`torch` is not compatible with Python >= 3.13") class WithFixtures: diff --git a/tests/models/test_dssm.py b/tests/models/test_dssm.py index 0af6a71f..c38e4932 100644 --- a/tests/models/test_dssm.py +++ b/tests/models/test_dssm.py @@ -12,25 +12,48 @@ # See the License for the specific language governing permissions and # limitations under the License. +import sys import typing as tp import numpy as np import pandas as pd import pytest -from lightning_fabric import seed_everything + +try: + from lightning_fabric import seed_everything +except ImportError: + pass + +try: + import pytorch_lightning # noqa # pylint: disable=unused-import + + filter_warnings_decorator = pytest.mark.filterwarnings( + "ignore::pytorch_lightning.utilities.warnings.PossibleUserWarning" + ) +except ImportError: + + def filter_warnings_decorator(func): # type: ignore + return func + from rectools.columns import Columns from rectools.dataset import Dataset from rectools.exceptions import NotFittedError -from rectools.models import DSSMModel -from rectools.models.dssm import DSSM + +try: + from rectools.models import DSSMModel + from rectools.models.dssm import DSSM +except ModuleNotFoundError: + pass from rectools.models.vector import ImplicitRanker from tests.models.utils import assert_dumps_loads_do_not_change_model, assert_second_fit_refits_model from .data import INTERACTIONS +pytestmark = pytest.mark.skipif(sys.version_info >= (3, 13), reason="`torch` is not compatible with Python >= 3.13") + -@pytest.mark.filterwarnings("ignore::pytorch_lightning.utilities.warnings.PossibleUserWarning") +@filter_warnings_decorator @pytest.mark.filterwarnings("ignore::UserWarning") class TestDSSMModel: def setup_method(self) -> None: diff --git a/tests/models/test_implicit_knn.py b/tests/models/test_implicit_knn.py index 354c01e6..46c67cd9 100644 --- a/tests/models/test_implicit_knn.py +++ b/tests/models/test_implicit_knn.py @@ -136,7 +136,7 @@ def test_with_whitelist(self, dataset: Dataset, filter_viewed: bool, expected: p pd.DataFrame( { Columns.TargetItem: [11, 11, 12, 12], - Columns.Item: [12, 15, 11, 14], + Columns.Item: [12, 14, 11, 14], Columns.Rank: [1, 2, 1, 2], } ), @@ -154,10 +154,32 @@ def test_with_whitelist(self, dataset: Dataset, filter_viewed: bool, expected: p ), ), ) - def test_i2i( - self, dataset: Dataset, filter_itself: bool, whitelist: tp.Optional[np.ndarray], expected: pd.DataFrame - ) -> None: + def test_i2i(self, filter_itself: bool, whitelist: tp.Optional[np.ndarray], expected: pd.DataFrame) -> None: base_model = TFIDFRecommender(K=5, num_threads=2) + # Recreate dataset to prevent same co-occurrence count between (11, 14) and (11, 15) + # which leads to different results in the test in Python 3.13 + # This is because numpy.argpartition behavior was changed. + # See also: https://github.com/MobileTeleSystems/RecTools/pull/227#discussion_r1941872699 + interactions = pd.DataFrame( + [ + [10, 11], + [10, 12], + [10, 14], + [20, 11], + [20, 12], + [20, 13], + [30, 11], + [30, 12], + [30, 14], + [40, 11], + [40, 15], + [40, 17], + ], + columns=Columns.UserItem, + ) + interactions[Columns.Weight] = 1 + interactions[Columns.Datetime] = "2021-09-09" + dataset = Dataset.construct(interactions) model = ImplicitItemKNNWrapperModel(model=base_model).fit(dataset) actual = model.recommend_to_items( target_items=np.array([11, 12]), diff --git a/tests/models/test_pure_svd.py b/tests/models/test_pure_svd.py index 408023da..c7114037 100644 --- a/tests/models/test_pure_svd.py +++ b/tests/models/test_pure_svd.py @@ -363,8 +363,8 @@ def test_from_config(self, mocker: MockerFixture, use_gpu: bool) -> None: def test_get_config( self, mocker: MockerFixture, random_state: tp.Optional[int], simple_types: bool, use_gpu: bool ) -> None: - mocker.patch("rectools.models.pure_svd.cp.cuda.is_available", return_value=True) mocker.patch("rectools.models.pure_svd.cp", return_value=True) + mocker.patch("rectools.models.pure_svd.cp.cuda.is_available", return_value=True) model = PureSVDModel( factors=100, tol=1.0, diff --git a/tests/models/test_serialization.py b/tests/models/test_serialization.py index b3b4636c..9ad57185 100644 --- a/tests/models/test_serialization.py +++ b/tests/models/test_serialization.py @@ -12,6 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. +import sys import typing as tp from tempfile import NamedTemporaryFile from unittest.mock import MagicMock @@ -182,6 +183,7 @@ def test_fails_on_incorrect_model_cls(self, mode: tp.Literal["pydantic", "dict"] with pytest.raises(ValidationError): model_from_config(config) + @pytest.mark.skipif(sys.version_info >= (3, 13), reason="`torch` is not compatible with Python 3.13") @pytest.mark.parametrize("model_cls", ("rectools.models.DSSMModel", DSSMModel)) def test_fails_on_model_cls_without_from_config_support(self, model_cls: tp.Any) -> None: config = {"cls": model_cls} diff --git a/tests/tools/test_ann.py b/tests/tools/test_ann.py index 7a0759ba..2e8b5c5b 100644 --- a/tests/tools/test_ann.py +++ b/tests/tools/test_ann.py @@ -13,6 +13,7 @@ # limitations under the License. import pickle +import sys from collections.abc import Hashable from typing import Callable, Dict, List, Union @@ -20,7 +21,14 @@ import pytest from rectools.dataset import IdMap -from rectools.tools import ItemToItemAnnRecommender, UserToItemAnnRecommender + +try: + from rectools.tools import ItemToItemAnnRecommender, UserToItemAnnRecommender +except ImportError: + pass + + +pytestmark = pytest.mark.skipif(sys.version_info >= (3, 13), reason="`nsmlib` is not compatible with Python >= 3.13") class TestItemToItemAnnRecommender: