diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 9eacfe81..bb260925 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -26,7 +26,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v2 with: - python-version: "3.8" + python-version: "3.10" - name: Install poetry run: pip install urllib3==1.26.15 poetry==1.4.0 diff --git a/.github/workflows/publish_dev.yml b/.github/workflows/publish_dev.yml index 55f2352c..bab93b86 100644 --- a/.github/workflows/publish_dev.yml +++ b/.github/workflows/publish_dev.yml @@ -24,7 +24,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v2 with: - python-version: "3.8" + python-version: "3.10" - name: Install poetry run: pip install urllib3==1.26.15 poetry==1.4.0 diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index adc15bb9..d47916d0 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -18,7 +18,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v2 with: - python-version: 3.8 + python-version: "3.10" - name: Install poetry run: pip install urllib3==1.26.15 poetry==1.4.0 @@ -28,7 +28,7 @@ jobs: uses: actions/cache@v3 with: path: .venv - key: venv-${{ runner.os }}-3.8-${{ hashFiles('**/poetry.lock') }} + key: venv-lint-${{ runner.os }}-${{ hashFiles('**/poetry.lock') }} - name: Install dependencies if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' @@ -38,16 +38,12 @@ jobs: run: make lint test: - name: test (${{ matrix.python-version }}, old-deps - ${{ matrix.old-deps }}) + name: test ${{ matrix.python-version }} runs-on: ubuntu-22.04 strategy: fail-fast: false matrix: - python-version: [ "3.7", "3.8", "3.9", "3.10" ] - old-deps: [ "false" ] - include: - - python-version: "3.7" - old-deps: "true" + python-version: [ "3.8", "3.9", "3.10", "3.11", "3.12" ] steps: - uses: actions/checkout@v2 @@ -65,16 +61,12 @@ jobs: uses: actions/cache@v3 with: path: .venv - key: venv-${{ runner.os }}-${{ matrix.python-version }}-old-deps-${{ matrix.old-deps }}-${{ hashFiles('**/poetry.lock') }} + key: venv-test-${{ runner.os }}-${{ matrix.python-version }}-${{ hashFiles('**/poetry.lock') }} - name: Install dependencies if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' run: make install - - name: Install old dependencies versions - if: matrix.old-deps == 'true' - run: poetry run pip install -r requirements-old-versions.txt - - name: Run tests run: make test diff --git a/CHANGELOG.md b/CHANGELOG.md index 675bbdd6..ae2cd5c0 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -15,6 +15,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - [Breaking] Default value for train dataset type and params for user and item dataset types in `DSSMModel` ([#122](https://github.com/MobileTeleSystems/RecTools/pull/122)) - [Breaking] `n_factors` and `deterministic` params to `DSSMModel` ([#122](https://github.com/MobileTeleSystems/RecTools/pull/122)) - Hit Rate metric ([#124](https://github.com/MobileTeleSystems/RecTools/pull/124)) +- Python `3.11` support (without `nmslib`) ([#126](https://github.com/MobileTeleSystems/RecTools/pull/126)) +- Python `3.12` support (without `nmslib` and `lightfm`) ([#126](https://github.com/MobileTeleSystems/RecTools/pull/126)) ### Changed - Changed the logic of choosing random sampler for `RandomModel` and increased the sampling speed ([#120](https://github.com/MobileTeleSystems/RecTools/pull/120)) @@ -22,9 +24,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Torch datasets to support warm recommendations ([#122](https://github.com/MobileTeleSystems/RecTools/pull/122)) - [Breaking] Replaced `include_warm` parameter in `Dataset.get_user_item_matrix` to pair `include_warm_users` and `include_warm_items` ([#122](https://github.com/MobileTeleSystems/RecTools/pull/122)) - [Breaking] Renamed torch datasets and `dataset_type` to `train_dataset_type` param in `DSSMModel` ([#122](https://github.com/MobileTeleSystems/RecTools/pull/122)) +- [Breaking] Updated minimum versions of `numpy`, `scipy`, `pandas`, `typeguard` ([#126](https://github.com/MobileTeleSystems/RecTools/pull/126)) +- [Breaking] Set restriction `scipy < 1.13` ([#126](https://github.com/MobileTeleSystems/RecTools/pull/126)) ### Removed -- `return_external_ids` parameter in `recommend` and `recommend_to_items` model methods ([#77](https://github.com/MobileTeleSystems/RecTools/pull/77)) +- [Breaking] `return_external_ids` parameter in `recommend` and `recommend_to_items` model methods ([#77](https://github.com/MobileTeleSystems/RecTools/pull/77)) +- [Breaking] Python `3.7` support ([#126](https://github.com/MobileTeleSystems/RecTools/pull/126)) ## [0.5.0] - 22.03.2024 diff --git a/Makefile b/Makefile index c8a75eb4..ded56acb 100644 --- a/Makefile +++ b/Makefile @@ -60,7 +60,7 @@ install: .venv .reports poetry run pytest ${TESTS} --cov=${SOURCES} --cov-report=xml .doctest: - poetry run pytest --doctest-modules ${SOURCES} + poetry run pytest --doctest-modules ${SOURCES} --ignore=rectools/tools/ann.py --ignore=rectools/models/lightfm.py coverage: .venv .reports poetry run coverage run --source ${SOURCES} --module pytest diff --git a/SECURITY.md b/SECURITY.md index 69538ea9..8f548cb5 100644 --- a/SECURITY.md +++ b/SECURITY.md @@ -3,7 +3,7 @@ Security Policy **Supported Python versions** -3.7 or above +3.8 or above **Product development security recommendations** diff --git a/benchmark/__init__.py b/benchmark/__init__.py index 397fba5c..8592260b 100644 --- a/benchmark/__init__.py +++ b/benchmark/__init__.py @@ -4,7 +4,7 @@ Benchmark RecTools models on a dataset chosen. One can choose either a built-in dataset or a custom dataset. -Benchmark calcuation includes fitting a model, evaluating recommender metrics and profiling +Benchmark calculation includes fitting a model, evaluating recommender metrics and profiling time and memory required for calculations. Subpackages diff --git a/docs/source/index.rst b/docs/source/index.rst index 2dc6b36c..2df31999 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -64,7 +64,7 @@ Install from PyPi using pip $ pip install rectools -RecTools is compatible with all operating systems and with Python 3.7+. +RecTools is compatible with all operating systems and with Python 3.8+. The default version doesn't contain all the dependencies. 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"aa759c0c0741d6288a7df9a5cde794266e8619a5c20a143957b0ae9b988d0260" +python-versions = ">=3.8.1, <3.13" +content-hash = "583ec06080e8dec8c1fce878fbbce86e6ba578f343f5af55f8e76cadf3f35379" diff --git a/pyproject.toml b/pyproject.toml index 0fae2987..94877e03 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,10 +33,11 @@ keywords = [ classifiers = [ "Development Status :: 3 - Alpha", "Topic :: Scientific/Engineering :: Artificial Intelligence", - "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3", "Topic :: Software Development :: Libraries :: Python Modules", "Intended Audience :: Science/Research", @@ -51,32 +52,29 @@ packages = [ [tool.poetry.dependencies] -python = ">=3.7.2, <3.11" -numpy = ">=1.19.5, <2.0.0" -pandas = [ - {version = ">=0.25.3, 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{version = "^2.0.4", python = "<3.11", optional = true} -torch = [ - {version = ">=1.6.0, <2.0.0", python = "<3.8", optional = true}, - {version = ">=1.6.0, <3.0.0", python = ">=3.8", optional = true} -] -pytorch-lightning = [ - {version = ">=1.6.0, <2.0.0", python = "<3.8", optional = true}, - {version = ">=1.6.0, <3.0.0", python = ">=3.8", optional = true} -] +torch = {version = ">=1.6.0, <3.0.0", optional = true} +pytorch-lightning = {version = ">=1.6.0, <3.0.0", optional = true} ipywidgets = {version = ">=7.7,<8.2", optional = true} @@ -93,31 +91,30 @@ all = [ "ipywidgets" ] + [tool.poetry.group.dev.dependencies] -black = "22.3.0" -isort = "5.10.1" -pylint = "2.17.6" -mypy = [ - {version = "0.931", python = "<3.8"}, # not compatible with torch >= 2 - {version = "1.6.1", python = ">=3.8"} # not compatible with python 3.7 -] -flake8 = "4.0.1" -bandit = "1.7.4" -pytest = "7.1.2" -radon = "5.1.0" -coverage = "6.4.2" -autopep8 = "1.6.0" -codespell = "2.1.0" -pytest-subtests = "0.8.0" -flake8-docstrings = "1.6.0" -pep8-naming = "0.12.1" -pytest-cov = "2.12.1" -pytest-mock = "3.11.1" +black = "24.4.2" +isort = "5.13.2" +pylint = "3.1.0" +mypy = "1.10.0" +flake8 = "7.0.0" +bandit = "1.7.8" +pytest = "8.1.1" +radon = "6.0.1" +coverage = "7.5.0" +autopep8 = "2.1.0" +codespell = "2.2.6" +pytest-subtests = "0.12.1" +flake8-docstrings = "1.7.0" +pep8-naming = "0.13.3" +pytest-cov = "5.0.0" +pytest-mock = "3.14.0" [tool.black] line-length = 120 -target-version = ["py37", "py38", "py39", "py310"] +target-version = ["py38", "py39", "py310", "py311", "py312"] + [build-system] requires = ["poetry>=1.0.5"] diff --git a/rectools/dataset/dataset.py b/rectools/dataset/dataset.py index 56ba836b..82e0b8df 100644 --- a/rectools/dataset/dataset.py +++ b/rectools/dataset/dataset.py @@ -231,7 +231,7 @@ def get_user_item_matrix( def get_raw_interactions(self, include_weight: bool = True, include_datetime: bool = True) -> pd.DataFrame: """ - Return iteractions as a `pd.DataFrame` object with replacing internal user and item ids to external ones. + Return interactions as a `pd.DataFrame` object with replacing internal user and item ids to external ones. Parameters ---------- diff --git a/rectools/dataset/identifiers.py b/rectools/dataset/identifiers.py index c0d5042c..f822b25d 100644 --- a/rectools/dataset/identifiers.py +++ b/rectools/dataset/identifiers.py @@ -20,7 +20,6 @@ import attr import numpy as np import pandas as pd -import typing_extensions as tpe from rectools import ExternalId, ExternalIds, InternalId, InternalIds from rectools.utils import fast_isin, get_from_series_by_index @@ -128,13 +127,13 @@ def get_external_sorted_by_internal(self) -> np.ndarray: @tp.overload def convert_to_internal( # noqa: D102 - self, external: ExternalIds, strict: bool = ..., return_missing: tpe.Literal[False] = False + self, external: ExternalIds, strict: bool = ..., return_missing: tp.Literal[False] = False ) -> np.ndarray: # pragma: no cover ... @tp.overload def convert_to_internal( # noqa: D102 - self, external: ExternalIds, strict: bool = ..., *, return_missing: tpe.Literal[True] + self, external: ExternalIds, strict: bool = ..., *, return_missing: tp.Literal[True] ) -> tp.Tuple[np.ndarray, np.ndarray]: # pragma: no cover ... @@ -176,13 +175,13 @@ def convert_to_internal( @tp.overload def convert_to_external( # noqa: D102 - self, internal: InternalIds, strict: bool = ..., return_missing: tpe.Literal[False] = False + self, internal: InternalIds, strict: bool = ..., return_missing: tp.Literal[False] = False ) -> np.ndarray: # pragma: no cover ... @tp.overload def convert_to_external( # noqa: D102 - self, internal: InternalIds, strict: bool = ..., *, return_missing: tpe.Literal[True] + self, internal: InternalIds, strict: bool = ..., *, return_missing: tp.Literal[True] ) -> tp.Tuple[np.ndarray, np.ndarray]: # pragma: no cover ... diff --git a/rectools/metrics/distances.py b/rectools/metrics/distances.py index b569ca50..a8f76e3d 100644 --- a/rectools/metrics/distances.py +++ b/rectools/metrics/distances.py @@ -129,7 +129,7 @@ def __init__(self, features: SparseFeatures, id_map: IdMap) -> None: def _get_distances_for_item_pairs(self, items_0: ExternalIds, items_1: ExternalIds) -> Distances: # Create accumulator for result - result = np.empty(len(items_0), dtype=np.float32) + result: np.ndarray = np.empty(len(items_0), dtype=np.float32) # Find mask external ids that are not contained in the mapper existing_external_0 = fast_isin(np.asarray(items_0), self.mapper.external_ids) existing_external_1 = fast_isin(np.asarray(items_1), self.mapper.external_ids) diff --git a/rectools/models/base.py b/rectools/models/base.py index 092db078..9a4c00ac 100644 --- a/rectools/models/base.py +++ b/rectools/models/base.py @@ -18,7 +18,6 @@ import numpy as np import pandas as pd -import typing_extensions as tpe from rectools import AnyIds, Columns, InternalIds from rectools.dataset import Dataset @@ -354,7 +353,7 @@ def _split_targets_by_hot_warm_cold( id_map: IdMap, n_hot: int, assume_external_ids: bool, - entity: tpe.Literal["user", "item"], + entity: tp.Literal["user", "item"], ) -> tp.Tuple[InternalIdsArray, InternalIdsArray, AnyIdsArray]: if assume_external_ids: known_ids, cold_ids = id_map.convert_to_internal(targets, strict=False, return_missing=True) @@ -382,7 +381,7 @@ def _check_targets_are_valid( hot_targets: InternalIdsArray, warm_targets: InternalIdsArray, cold_targets: AnyIdsArray, - entity: tpe.Literal["user", "item"], + entity: tp.Literal["user", "item"], ) -> None: if warm_targets.size > 0 and not cls.recommends_for_warm and not cls.recommends_for_cold: raise ValueError( diff --git a/rectools/models/random.py b/rectools/models/random.py index 177182cb..a1f58d46 100644 --- a/rectools/models/random.py +++ b/rectools/models/random.py @@ -31,7 +31,7 @@ class _RandomGen: def __init__(self, random_state: tp.Optional[int] = None) -> None: - self.python_gen = random.Random(random_state) + self.python_gen = random.Random(random_state) # nosec self.np_gen = np.random.default_rng(random_state) diff --git a/rectools/models/rank.py b/rectools/models/rank.py index 0bc9a094..a8ce6549 100644 --- a/rectools/models/rank.py +++ b/rectools/models/rank.py @@ -62,8 +62,8 @@ def __init__( raise ValueError("To use `sparse.csr_matrix` distance must be `Distance.DOT`") self.distance = distance - self.subjects_factors = subjects_factors.astype(np.float32) - self.objects_factors = objects_factors.astype(np.float32) + self.subjects_factors: np.ndarray = subjects_factors.astype(np.float32) + self.objects_factors: np.ndarray = objects_factors.astype(np.float32) self.subjects_norms: np.ndarray if distance == Distance.COSINE: @@ -75,7 +75,7 @@ def __init__( def _get_neginf_score(self) -> float: # Adding 1 to avoid float calculation errors (we're comparing `scores <= neginf_score`) - return -np.finfo(np.float32).max + 1 + return float(-np.finfo(np.float32).max + 1) @staticmethod def _calc_dots(factors: np.ndarray) -> np.ndarray: diff --git a/rectools/tools/ann.py b/rectools/tools/ann.py index eaf673d6..2f48b67f 100644 --- a/rectools/tools/ann.py +++ b/rectools/tools/ann.py @@ -60,7 +60,7 @@ class BaseNmslibRecommender: NMSLIB index creation parameters. See nmslib documentation. In case of None defaults to reasonable parameters. index : FloatIndex, optional - Optonal instance of FloatIndex. Exists for outside initialization. + Optional instance of FloatIndex. Exists for outside initialization. See Also -------- @@ -233,7 +233,7 @@ class UserToItemAnnRecommender(BaseNmslibRecommender): NMSLIB index creation parameters. See nmslib documentation. In case of None defaults to reasonable parameters. index : FloatIndex, optional - Optonal instance of `FloatIndex`. Exists for outside initialization. + Optional instance of `FloatIndex`. Exists for outside initialization. Methods ------- @@ -383,7 +383,7 @@ class ItemToItemAnnRecommender(BaseNmslibRecommender): NMSLIB index creation parameters. See nmslib documentation. In case of None defaults to reasonable parameters. index : FloatIndex, optional - Optonal instance of FloatIndex. Exists for outside initialization. + Optional instance of FloatIndex. Exists for outside initialization. Methods ------- diff --git a/rectools/utils/misc.py b/rectools/utils/misc.py index 25db1313..3aaecec3 100644 --- a/rectools/utils/misc.py +++ b/rectools/utils/misc.py @@ -16,7 +16,7 @@ from itertools import tee import numpy as np -from typeguard import check_type +from typeguard import TypeCheckError, check_type T = tp.TypeVar("T") @@ -93,9 +93,9 @@ def _is_instance_of_type(obj: tp.Any, type_: AnyType) -> bool: Whether `type_` is type of `obj`. """ try: - check_type("", obj, type_) + check_type(obj, type_) return True - except TypeError: + except TypeCheckError: return False diff --git a/requirements-old-versions.txt b/requirements-old-versions.txt deleted file mode 100644 index 1e99151e..00000000 --- a/requirements-old-versions.txt +++ /dev/null @@ -1 +0,0 @@ -numpy==1.19.5 diff --git a/setup.cfg b/setup.cfg index 0720b967..bccd6f41 100644 --- a/setup.cfg +++ b/setup.cfg @@ -87,5 +87,5 @@ count = quiet-level = 3 builtin = clear,rare,names,code check-filenames = -ignore-words-list = als,uint,coo +ignore-words-list = als, uint, coo, arange, jupyter skip = *.ipynb diff --git a/tests/dataset/test_dataset.py b/tests/dataset/test_dataset.py index c81fa047..24a75269 100644 --- a/tests/dataset/test_dataset.py +++ b/tests/dataset/test_dataset.py @@ -32,7 +32,7 @@ class TestDataset: - def setup(self) -> None: + def setup_method(self) -> None: self.interactions_df = pd.DataFrame( [ ["u1", "i1", 2, "2021-09-09"], diff --git a/tests/dataset/test_features.py b/tests/dataset/test_features.py index d5cc7128..eb03717b 100644 --- a/tests/dataset/test_features.py +++ b/tests/dataset/test_features.py @@ -27,7 +27,7 @@ class TestDenseFeatures: - def setup(self) -> None: + def setup_method(self) -> None: self.values = np.array([[1, 10], [2, 20], [3, 30]]) self.names = ("f1", "f2") @@ -98,7 +98,7 @@ def test_len(self) -> None: class TestSparseFeatures: - def setup(self) -> None: + def setup_method(self) -> None: self.values = sparse.csr_matrix( [ [3.2, 0, 1], diff --git a/tests/dataset/test_identifiers.py b/tests/dataset/test_identifiers.py index fde2d3fb..09ed2751 100644 --- a/tests/dataset/test_identifiers.py +++ b/tests/dataset/test_identifiers.py @@ -24,7 +24,7 @@ class TestIdMap: - def setup(self) -> None: + def setup_method(self) -> None: self.external_ids = np.array(["b", "c", "a"]) self.id_map = IdMap(self.external_ids) diff --git a/tests/dataset/test_interactions.py b/tests/dataset/test_interactions.py index 86ec6e08..587e1e50 100644 --- a/tests/dataset/test_interactions.py +++ b/tests/dataset/test_interactions.py @@ -29,7 +29,7 @@ class TestInteractions: - def setup(self) -> None: + def setup_method(self) -> None: self.df = pd.DataFrame( { Columns.User: [1, 2, 1, 1], diff --git a/tests/metrics/test_classification.py b/tests/metrics/test_classification.py index 56c16eb0..e1c98d1d 100644 --- a/tests/metrics/test_classification.py +++ b/tests/metrics/test_classification.py @@ -41,7 +41,7 @@ class TestPrecision: - def setup(self) -> None: + def setup_method(self) -> None: self.metric = Precision(k=2) def test_calc(self) -> None: @@ -59,7 +59,7 @@ def test_when_no_interactions(self) -> None: class TestRecall: - def setup(self) -> None: + def setup_method(self) -> None: self.metric = Recall(k=2) def test_calc(self) -> None: @@ -77,7 +77,7 @@ def test_when_no_interactions(self) -> None: class TestAccuracy: - def setup(self) -> None: + def setup_method(self) -> None: self.metric = Accuracy(k=2) def test_calc(self) -> None: @@ -113,7 +113,7 @@ def test_raises_when_no_catalog_set_when_needed(self) -> None: class TestF1Beta: - def setup(self) -> None: + def setup_method(self) -> None: self.metric = F1Beta(k=2, beta=2 ** (1 / 2)) def test_calc(self) -> None: @@ -131,7 +131,7 @@ def test_when_no_interactions(self) -> None: class TestMCC: - def setup(self) -> None: + def setup_method(self) -> None: self.metric = MCC(k=2) def test_calc(self) -> None: @@ -158,7 +158,7 @@ def test_when_no_interactions(self) -> None: class TestHitRate: - def setup(self) -> None: + def setup_method(self) -> None: self.metric = HitRate(k=2) def test_calc(self) -> None: diff --git a/tests/metrics/test_scoring.py b/tests/metrics/test_scoring.py index 7052878d..1ca281eb 100644 --- a/tests/metrics/test_scoring.py +++ b/tests/metrics/test_scoring.py @@ -37,7 +37,7 @@ class TestCalcMetrics: # pylint: disable=attribute-defined-outside-init - def setup(self) -> None: + def setup_method(self) -> None: self.reco = pd.DataFrame( { Columns.User: [1, 1, 2, 3, 5], diff --git a/tests/model_selection/test_cross_validate.py b/tests/model_selection/test_cross_validate.py index 54f9b3c5..919f82ed 100644 --- a/tests/model_selection/test_cross_validate.py +++ b/tests/model_selection/test_cross_validate.py @@ -22,7 +22,7 @@ class TestGen2xInternalIdsDataset: - def setup(self) -> None: + def setup_method(self) -> None: self.interactions_internal_df = pd.DataFrame( [ [0, 0, 1, 101], @@ -99,7 +99,7 @@ def test_with_features( class TestCrossValidate: - def setup(self) -> None: + def setup_method(self) -> None: interactions_df = pd.DataFrame( [ [10, 11, 1, 101], diff --git a/tests/models/test_base.py b/tests/models/test_base.py index 6b91b7c8..107fc523 100644 --- a/tests/models/test_base.py +++ b/tests/models/test_base.py @@ -83,7 +83,7 @@ def test_raise_when_k_is_not_positive_i2i(k: int) -> None: class TestRecommendWithInternalIds: - def setup(self) -> None: + def setup_method(self) -> None: class SomeModel(ModelBase): def _fit(self, dataset: Dataset, *args: tp.Any, **kwargs: tp.Any) -> None: pass @@ -212,7 +212,7 @@ def test_i2i_with_incorrect_ids( class TestHotWarmCold: - def setup(self) -> None: + def setup_method(self) -> None: class HotModel(ModelBase): recommends_for_cold = False recommends_for_warm = False @@ -331,11 +331,11 @@ class HotWarmColdModel(HotWarmModel, HotColdModel): self.warms = {"u2i": [50], "i2i": [16]} self.colds = {"u2i": [60], "i2i": [18]} - def _get_reco(self, targers: ExternalIds, model_key: str, dataset_key: str, kind: str) -> pd.DataFrame: + def _get_reco(self, targets: ExternalIds, model_key: str, dataset_key: str, kind: str) -> pd.DataFrame: model = self.models[model_key] if kind == "u2i": reco = model.recommend( - users=targers, + users=targets, dataset=self.datasets[dataset_key], k=2, filter_viewed=False, @@ -344,7 +344,7 @@ def _get_reco(self, targers: ExternalIds, model_key: str, dataset_key: str, kind reco.rename(columns={Columns.User: "target"}, inplace=True) elif kind == "i2i": reco = model.recommend_to_items( - target_items=targers, + target_items=targets, dataset=self.datasets[dataset_key], k=2, add_rank_col=False, @@ -491,6 +491,6 @@ def _get_cold_reco( model = ColdRecoModel() reco = model._recommend_cold(np.array([10, 11]), DATASET, 2, None) # pylint: disable=protected-access - np.testing.assert_array_equal(reco[0], [10, 10, 11, 11]) + np.testing.assert_array_equal(list(reco[0]), [10, 10, 11, 11]) np.testing.assert_array_equal(reco[1], [0, 1, 0, 1]) np.testing.assert_array_equal(reco[2], [2.1, 2.2, 2.1, 2.2]) diff --git a/tests/models/test_dssm.py b/tests/models/test_dssm.py index 6ac012b8..bd00eeb7 100644 --- a/tests/models/test_dssm.py +++ b/tests/models/test_dssm.py @@ -32,7 +32,7 @@ @pytest.mark.filterwarnings("ignore::pytorch_lightning.utilities.warnings.PossibleUserWarning") @pytest.mark.filterwarnings("ignore::UserWarning") class TestDSSMModel: - def setup(self) -> None: + def setup_method(self) -> None: seed_everything(42, workers=True) @pytest.fixture @@ -203,7 +203,11 @@ def test_get_vectors(self, dataset: Dataset) -> None: _, vectors_reco, vectors_scores = ranker.rank( dataset.user_id_map.convert_to_internal(np.array([10, 20, 30, 40])), k=5 ) - (_, reco_item_ids, reco_scores,) = model._recommend_u2i( # pylint: disable=protected-access + ( + _, + reco_item_ids, + reco_scores, + ) = model._recommend_u2i( # pylint: disable=protected-access user_ids=dataset.user_id_map.convert_to_internal(np.array([10, 20, 30, 40])), dataset=dataset, k=5, diff --git a/tests/models/test_ease.py b/tests/models/test_ease.py index 8210895a..2eb75d05 100644 --- a/tests/models/test_ease.py +++ b/tests/models/test_ease.py @@ -66,8 +66,7 @@ def test_basic(self, dataset: Dataset, filter_viewed: bool, expected: pd.DataFra k=2, filter_viewed=filter_viewed, ) - tol_kwargs: tp.Dict[str, float] = {"check_less_precise": 3} if pd.__version__ < "1" else {"atol": 0.001} - pd.testing.assert_frame_equal(actual, expected, **tol_kwargs) # pylint: disable = unexpected-keyword-arg + pd.testing.assert_frame_equal(actual, expected, atol=0.001) @pytest.mark.parametrize( "filter_viewed,expected", @@ -105,8 +104,7 @@ def test_with_whitelist(self, dataset: Dataset, filter_viewed: bool, expected: p filter_viewed=filter_viewed, items_to_recommend=np.array([11, 15, 17]), ) - tol_kwargs: tp.Dict[str, float] = {"check_less_precise": 3} if pd.__version__ < "1" else {"atol": 0.001} - pd.testing.assert_frame_equal(actual, expected, **tol_kwargs) # pylint: disable = unexpected-keyword-arg + pd.testing.assert_frame_equal(actual, expected, atol=0.001) @pytest.mark.parametrize( "filter_itself,whitelist,expected", diff --git a/tests/models/test_implicit_als.py b/tests/models/test_implicit_als.py index b1cd6c4c..e10e2895 100644 --- a/tests/models/test_implicit_als.py +++ b/tests/models/test_implicit_als.py @@ -42,8 +42,8 @@ def _init_model_factors_inplace(model: AnyAlternatingLeastSquares, dataset: Data n_factors = model.factors n_users = dataset.user_id_map.to_internal.size n_items = dataset.item_id_map.to_internal.size - user_factors = np.linspace(0.1, 0.5, n_users * n_factors, dtype=np.float32).reshape(n_users, n_factors) - item_factors = np.linspace(0.1, 0.5, n_items * n_factors, dtype=np.float32).reshape(n_items, n_factors) + user_factors: np.ndarray = np.linspace(0.1, 0.5, n_users * n_factors, dtype=np.float32).reshape(n_users, -1) + item_factors: np.ndarray = np.linspace(0.1, 0.5, n_items * n_factors, dtype=np.float32).reshape(n_items, -1) if isinstance(model, GPUAlternatingLeastSquares): user_factors = implicit.gpu.Matrix(user_factors) diff --git a/tests/models/test_implicit_knn.py b/tests/models/test_implicit_knn.py index 2f348a7f..29e7c2b4 100644 --- a/tests/models/test_implicit_knn.py +++ b/tests/models/test_implicit_knn.py @@ -68,9 +68,8 @@ def test_basic(self, dataset: Dataset, filter_viewed: bool, expected: pd.DataFra k=2, filter_viewed=filter_viewed, ) - tol_kwargs: tp.Dict[str, float] = {"check_less_precise": 3} if pd.__version__ < "1" else {"atol": 0.001} expected = expected.astype({Columns.Score: np.float32}) - pd.testing.assert_frame_equal(actual, expected, **tol_kwargs) # pylint: disable = unexpected-keyword-arg + pd.testing.assert_frame_equal(actual, expected, atol=0.001) @pytest.mark.parametrize( "filter_viewed,expected", @@ -109,9 +108,8 @@ def test_with_whitelist(self, dataset: Dataset, filter_viewed: bool, expected: p filter_viewed=filter_viewed, items_to_recommend=np.array([11, 15, 17]), ) - tol_kwargs: tp.Dict[str, float] = {"check_less_precise": 3} if pd.__version__ < "1" else {"atol": 0.001} expected = expected.astype({Columns.Score: np.float32}) - pd.testing.assert_frame_equal(actual, expected, **tol_kwargs) # pylint: disable = unexpected-keyword-arg + pd.testing.assert_frame_equal(actual, expected, atol=0.001) @pytest.mark.parametrize( "filter_itself,whitelist,expected", diff --git a/tests/models/test_lightfm.py b/tests/models/test_lightfm.py index eda6003c..a0dd1785 100644 --- a/tests/models/test_lightfm.py +++ b/tests/models/test_lightfm.py @@ -12,12 +12,17 @@ # 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 lightfm import LightFM + +try: + from lightfm import LightFM +except ImportError: + LightFM = object # it's ok in case we're skipping the tests from rectools import Columns from rectools.dataset import Dataset @@ -27,6 +32,8 @@ from rectools.models.vector import Factors from tests.models.utils import assert_second_fit_refits_model +pytestmark = pytest.mark.skipif(sys.version_info >= (3, 12), reason="`lightfm` is not compatible with Python >= 3.12") + # pylint: disable=attribute-defined-outside-init class DeterministicLightFM(LightFM): diff --git a/tests/models/test_random.py b/tests/models/test_random.py index fc34d8a0..fe7aaf3f 100644 --- a/tests/models/test_random.py +++ b/tests/models/test_random.py @@ -165,7 +165,7 @@ def test_i2i(self, filter_itself: bool, whitelist: tp.Optional[tp.List[tp.Any]]) assert actual[Columns.TargetItem].tolist() == [11, 11, 12, 12, 16, 16, 18, 18] assert actual[Columns.Rank].tolist() == [1, 2, 1, 2, 1, 2, 1, 2] - # Items that aren't present in interections but have features can also be used + # Items that aren't present in interactions but have features can also be used assert set(actual[Columns.Item]) <= set(whitelist or dataset.item_id_map.external_ids.tolist()) if not filter_itself: diff --git a/tests/models/test_rank.py b/tests/models/test_rank.py index da02d857..9bc4da37 100644 --- a/tests/models/test_rank.py +++ b/tests/models/test_rank.py @@ -53,7 +53,7 @@ def test_neginf_score(self, subject_factors: np.ndarray, object_factors: np.ndar subject_factors = sparse.csr_matrix(subject_factors) implicit_ranker = ImplicitRanker(Distance.DOT, subjects_factors=subject_factors, objects_factors=object_factors) - dummy_factors = np.array([[1, 2]], dtype=np.float32) + dummy_factors: np.ndarray = np.array([[1, 2]], dtype=np.float32) neginf = implicit.cpu.topk.topk( # pylint: disable=c-extension-no-member items=dummy_factors, query=dummy_factors, @@ -77,7 +77,7 @@ def test_mask_for_correct_scores( implicit_ranker = ImplicitRanker(Distance.DOT, subjects_factors=subject_factors, objects_factors=object_factors) neginf = implicit_ranker._get_neginf_score() - scores = np.array([7, 6, 0, 0], dtype=np.float32) + scores: np.ndarray = np.array([7, 6, 0, 0], dtype=np.float32) actual = implicit_ranker._get_mask_for_correct_scores(scores) assert actual == [True] * 4 diff --git a/tests/models/test_vector.py b/tests/models/test_vector.py index 53e5a18b..fe158fe6 100644 --- a/tests/models/test_vector.py +++ b/tests/models/test_vector.py @@ -29,7 +29,7 @@ class TestVectorModel: # pylint: disable=protected-access, attribute-defined-outside-init - def setup(self) -> None: + def setup_method(self) -> None: stub_interactions = pd.DataFrame([], columns=Columns.Interactions) self.stub_dataset = Dataset.construct(stub_interactions) user_embeddings = np.array([[-4, 0, 3], [0, 0, 0]]) diff --git a/tests/models/utils.py b/tests/models/utils.py index b6b0ad07..37d681e5 100644 --- a/tests/models/utils.py +++ b/tests/models/utils.py @@ -1,4 +1,3 @@ -import typing as tp from copy import deepcopy import pandas as pd @@ -11,12 +10,11 @@ def assert_second_fit_refits_model(model: ModelBase, dataset: Dataset) -> None: model_1 = deepcopy(model).fit(dataset) model_2 = deepcopy(model).fit(dataset).fit(dataset) k = dataset.item_id_map.external_ids.size - tol_kwargs: tp.Dict[str, float] = {"check_less_precise": 3} if pd.__version__ < "1" else {"atol": 0.001} reco_u2i_1 = model_1.recommend(dataset.user_id_map.external_ids, dataset, k, False) reco_u2i_2 = model_2.recommend(dataset.user_id_map.external_ids, dataset, k, False) - pd.testing.assert_frame_equal(reco_u2i_1, reco_u2i_2, **tol_kwargs) # pylint: disable = unexpected-keyword-arg + pd.testing.assert_frame_equal(reco_u2i_1, reco_u2i_2, atol=0.001) reco_i2i_1 = model_1.recommend_to_items(dataset.item_id_map.external_ids, dataset, k, False) reco_i2i_2 = model_2.recommend_to_items(dataset.item_id_map.external_ids, dataset, k, False) - pd.testing.assert_frame_equal(reco_i2i_1, reco_i2i_2, **tol_kwargs) # pylint: disable = unexpected-keyword-arg + pd.testing.assert_frame_equal(reco_i2i_1, reco_i2i_2, atol=0.001) diff --git a/tests/tools/test_ann.py b/tests/tools/test_ann.py index 78093176..a2dcf8d2 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 typing import Callable, Dict, Hashable, List, Union import numpy as np @@ -21,6 +22,8 @@ from rectools.dataset import IdMap from rectools.tools import ItemToItemAnnRecommender, UserToItemAnnRecommender +pytestmark = pytest.mark.skipif(sys.version_info >= (3, 11), reason="`nmslib` is not compatible with Python >= 3.11") + class TestItemToItemAnnRecommender: @pytest.fixture diff --git a/tests/visuals/test_visual_app.py b/tests/visuals/test_visual_app.py index 2e39327a..18594b58 100644 --- a/tests/visuals/test_visual_app.py +++ b/tests/visuals/test_visual_app.py @@ -275,7 +275,8 @@ def test_u2i_with_random_requests(self, n_random_requests: int) -> None: assert random_id != 1 # random id is not same as predefined by user total_reco = 0 for model_name in ["model1", "model2"]: - expected_reco = RECO_U2I[model_name].query(f"{Columns.User} == @random_id")["item_id"].sort_values() + expected_reco_df = RECO_U2I[model_name].query(f"{Columns.User} == @random_id") + expected_reco = expected_reco_df["item_id"].sort_values() # pylint: disable=unsubscriptable-object actual_reco = ads.grouped_reco[model_name][random_name]["item_id"].sort_values() total_reco += expected_reco.shape[0] assert np.array_equal(actual_reco, expected_reco) @@ -309,9 +310,8 @@ def test_i2i_with_random_requests(self, n_random_requests: int) -> None: assert random_id != 3 # random id is not same as predefined by user total_reco = 0 for model_name in ["model1", "model2"]: - expected_reco = ( - RECO_I2I[model_name].query(f"{Columns.TargetItem} == @random_id")["item_id"].sort_values() - ) + expected_reco_df = RECO_I2I[model_name].query(f"{Columns.TargetItem} == @random_id") + expected_reco = expected_reco_df["item_id"].sort_values() # pylint: disable=unsubscriptable-object actual_reco = ads.grouped_reco[model_name][random_name]["item_id"].sort_values() total_reco += expected_reco.shape[0] assert np.array_equal(actual_reco, expected_reco)