diff --git a/.github/actions/install-env/action.yml b/.github/actions/install-env/action.yml index 700444c61e..9b97e015d5 100644 --- a/.github/actions/install-env/action.yml +++ b/.github/actions/install-env/action.yml @@ -22,11 +22,12 @@ runs: with: python-version: ${{ inputs.python-version }} - - name: Load cached Poetry installation - uses: actions/cache@v4 - with: - path: ~/.local # the path depends on the OS - key: poetry-2 # increment to reset cache + # Getting errors since using not the latest Python version in docs workflows + # - name: Load cached Poetry installation + # uses: actions/cache@v4 + # with: + # path: ~/.local # the path depends on the OS + # key: poetry-3 # modify to reset cache - name: Install poetry uses: snok/install-poetry@v1 diff --git a/.github/workflows/code-quality.yml b/.github/workflows/code-quality.yml index 39b544cebd..9f00ead2d2 100644 --- a/.github/workflows/code-quality.yml +++ b/.github/workflows/code-quality.yml @@ -12,12 +12,12 @@ jobs: ubuntu: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Build River uses: ./.github/actions/install-env with: - python-version: "3.12" + python-version: "3.13" build-root: false - name: Run pre-commit on all files diff --git a/.github/workflows/dev-docs.yml b/.github/workflows/dev-docs.yml index 84194ffe32..b7e69cec29 100644 --- a/.github/workflows/dev-docs.yml +++ b/.github/workflows/dev-docs.yml @@ -10,11 +10,12 @@ jobs: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Build River uses: ./.github/actions/install-env with: + # Use 3.12 for the docs env waiting for spaCy and srsly to support 3.13 python-version: "3.12" build-root: false diff --git a/.github/workflows/pypi.yml b/.github/workflows/pypi.yml index c3316ba4f1..2aaf22115e 100644 --- a/.github/workflows/pypi.yml +++ b/.github/workflows/pypi.yml @@ -7,119 +7,143 @@ on: - "*" jobs: - build_wheels: - name: Build wheels on ${{ matrix.os }} - runs-on: ${{ matrix.os }} + build_linux_wheels: + name: Build ${{ matrix.linux_tag }} wheels with cp${{ matrix.python-version }} + runs-on: ubuntu-latest strategy: - # https://github.com/actions/runner-images/tree/main matrix: - os: - [ - ubuntu-20.04, - ubuntu-22.04, - windows-2019, - windows-2022, - macos-12, - macos-13, - macos-14, - ] - + linux_tag: ["manylinux", "musllinux"] + python-version: ["310", "311", "312", "313"] steps: - - uses: actions/checkout@v3 - - - name: Set up rust - if: matrix.os != 'ubuntu-20.04' && matrix.os != 'ubuntu-22.04' - uses: actions-rs/toolchain@v1 - with: - profile: minimal - toolchain: nightly - override: true - - - run: rustup target add aarch64-apple-darwin && rustup target add x86_64-apple-darwin - if: matrix.os == 'macos-12' || matrix.os == 'macos-13' || matrix.os == 'macos-14' - - - run: rustup toolchain install stable-i686-pc-windows-msvc - if: matrix.os == 'windows-2019' || matrix.os == 'windows-2022' - - - run: rustup target add i686-pc-windows-msvc - if: matrix.os == 'windows-2019' || matrix.os == 'windows-2022' - + - uses: actions/checkout@v4 - name: Set up QEMU - if: matrix.os == 'ubuntu-20.04' || matrix.os == 'ubuntu-22.04' uses: docker/setup-qemu-action@v3 with: platforms: all - - name: Build wheels - uses: pypa/cibuildwheel@v2.19.2 + uses: pypa/cibuildwheel@v2.22.0 timeout-minutes: 720 env: - CIBW_BUILD: "cp39-* cp310-* cp311-* cp312-*" + CIBW_BUILD: "cp${{ matrix.python-version }}-${{ matrix.linux_tag }}_*" CIBW_ARCHS_LINUX: "x86_64 i686 aarch64" - # CIBW_ARCHS_MACOS: "x86_64 arm64" - CIBW_ARCHS_MACOS: "universal2" - # We don't build ARM64 wheels yet because there's a Rust issue - CIBW_ARCHS_WINDOWS: "AMD64 x86" - # Rust nighlty doesn't seem to be available for musl linux on i686 CIBW_SKIP: "*-musllinux_i686" - - # arm64 and universal2 wheels are tagged with x86_64 because there's an issue with Poetry - # More information here: https://cibuildwheel.readthedocs.io/en/stable/faq/#how-to-cross-compile (CTRL + F "poetry") - # https://github.com/pypa/cibuildwheel/issues/1415 - CIBW_REPAIR_WHEEL_COMMAND_MACOS: > - ls {dest_dir} && - delocate-wheel --require-archs {delocate_archs} -w {dest_dir} -v {wheel} && - for file in {dest_dir}/*.whl ; do mv $file ${file//x86_64/universal2} ; done - CIBW_MANYLINUX_X86_64_IMAGE: "manylinux2014" CIBW_MANYLINUX_I686_IMAGE: "manylinux2014" CIBW_MANYLINUX_AARCH64_IMAGE: "manylinux2014" - CIBW_MANYLINUX_PYPY_X86_64_IMAGE: "manylinux2014" - CIBW_MANYLINUX_PYPY_I686_IMAGE: "manylinux2014" - CIBW_MANYLINUX_PYPY_AARCH64_IMAGE: "manylinux2014" - CIBW_MUSLLINUX_X86_64_IMAGE: "musllinux_1_1" CIBW_MUSLLINUX_I686_IMAGE: "musllinux_1_1" CIBW_MUSLLINUX_AARCH64_IMAGE: "musllinux_1_1" - CIBW_ENVIRONMENT: 'PATH="$HOME/.cargo/bin:$PATH"' - # Fix the following error: error: cargo rustc --lib --message-format=json-render-diagnostics --manifest-path Cargo.toml --release -v --features pyo3/extension-module -- --crate-type cdylibfailed with code -9 - # You need to set a second environment variable CARGO_NET_GIT_FETCH_WITH_CLI="true" for linux environments - # Solutio found here: https://github.com/rust-lang/cargo/issues/10583 CIBW_ENVIRONMENT_LINUX: 'PATH="$HOME/.cargo/bin:$PATH" CARGO_NET_GIT_FETCH_WITH_CLI="true"' - CIBW_ENVIRONMENT_WINDOWS: 'PATH="$UserProfile\.cargo\bin;$PATH"' - CIBW_BEFORE_BUILD: > rustup default nightly && rustup show CIBW_BEFORE_BUILD_LINUX: > curl https://sh.rustup.rs -sSf | sh -s -- --default-toolchain=nightly --profile=minimal -y && rustup show + - uses: actions/upload-artifact@v4 + with: + name: artifact-${{ matrix.linux_tag }}-cp${{ matrix.python-version }} + path: ./wheelhouse/*.whl + + build_macos_wheels: + name: Build wheels on ${{ matrix.os }} + runs-on: ${{ matrix.os }} + strategy: + matrix: + os: [macos-13, macos-14] + steps: + - uses: actions/checkout@v4 + - name: Set up rust + uses: dtolnay/rust-toolchain@stable + with: + toolchain: nightly + - run: rustup target add aarch64-apple-darwin && rustup target add x86_64-apple-darwin + - name: Build wheels + uses: pypa/cibuildwheel@v2.22.0 + timeout-minutes: 720 + env: + CIBW_BUILD: "cp310-* cp311-* cp312-* cp313-*" + CIBW_ARCHS_MACOS: "universal2" + # arm64 and universal2 wheels are tagged with x86_64 because there's an issue with Poetry + # More information here: https://cibuildwheel.readthedocs.io/en/stable/faq/#how-to-cross-compile (CTRL + F "poetry") + # https://github.com/pypa/cibuildwheel/issues/1415 + CIBW_REPAIR_WHEEL_COMMAND_MACOS: > + ls {dest_dir} && + delocate-wheel --require-archs {delocate_archs} -w {dest_dir} -v {wheel} && + for file in {dest_dir}/*.whl ; do mv $file ${file//x86_64/universal2} ; done + CIBW_ENVIRONMENT: 'PATH="$HOME/.cargo/bin:$PATH"' + CIBW_BEFORE_BUILD: > + rustup default nightly && + rustup show + - uses: actions/upload-artifact@v4 + with: + name: artifact-${{ matrix.os }} + path: ./wheelhouse/*.whl - - uses: actions/upload-artifact@v2 + build_windows_wheels: + name: Build wheels on ${{ matrix.os }} + runs-on: ${{ matrix.os }} + strategy: + matrix: + os: [windows-2019, windows-2022] + steps: + - uses: actions/checkout@v4 + - name: Set up rust + uses: dtolnay/rust-toolchain@stable with: + toolchain: nightly + - run: rustup toolchain install stable-i686-pc-windows-msvc + - run: rustup target add i686-pc-windows-msvc + - name: Build wheels + uses: pypa/cibuildwheel@v2.22.0 + timeout-minutes: 720 + env: + CIBW_BUILD: "cp310-* cp311-* cp312-* cp313-*" + CIBW_ARCHS_WINDOWS: "AMD64 x86" + CIBW_ENVIRONMENT: 'PATH="$HOME/.cargo/bin:$PATH"' + CIBW_ENVIRONMENT_WINDOWS: 'PATH="$UserProfile\.cargo\bin;$PATH"' + CIBW_BEFORE_BUILD: > + rustup default nightly && + rustup show + - uses: actions/upload-artifact@v4 + with: + name: artifact-${{ matrix.os }} path: ./wheelhouse/*.whl build_sdist: name: Build source distribution + # Can't use more than 12 jobs in parallel + needs: [build_macos_wheels] runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Build River uses: ./.github/actions/install-env with: - python-version: "3.12" + python-version: "3.13" - name: Build dist run: poetry build - - uses: actions/upload-artifact@v3 + - uses: actions/upload-artifact@v4 with: + name: artifact-sdist path: dist/*.tar.gz + merge_artifacts: + runs-on: ubuntu-latest + needs: [build_linux_wheels, build_macos_wheels, build_windows_wheels, build_sdist] + steps: + - name: Merge Artifacts + uses: actions/upload-artifact/merge@v4 + with: + name: artifact + pattern: artifact-* + upload_pypi: - needs: [build_wheels, build_sdist] + needs: merge_artifacts runs-on: ubuntu-latest steps: - uses: actions/download-artifact@v4.1.7 @@ -127,7 +151,7 @@ jobs: name: artifact path: dist - - uses: pypa/gh-action-pypi-publish@v1.8.10 + - uses: pypa/gh-action-pypi-publish@v1.12.2 with: user: __token__ password: ${{ secrets.PYPI_API_TOKEN }} diff --git a/.github/workflows/release-docs.yml b/.github/workflows/release-docs.yml index 76a09d0450..6da80b9d37 100644 --- a/.github/workflows/release-docs.yml +++ b/.github/workflows/release-docs.yml @@ -15,6 +15,7 @@ jobs: - name: Build River uses: ./.github/actions/install-env with: + # Use 3.12 for the docs env waiting for spaCy and srsly to support 3.13 python-version: "3.12" - name: Install extra Ubuntu dependencies diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index 0d7c00e016..b96c9d7509 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -13,26 +13,26 @@ jobs: strategy: matrix: os: [ubuntu-latest] - python-version: ["3.12", "3.11", "3.10"] + python-version: ["3.13", "3.12", "3.11", "3.10"] runs-on: ${{ matrix.os }} steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Build River uses: ./.github/actions/install-env with: - python-version: "3.12" + python-version: ${{ matrix.python-version }} - name: Cache River datasets - uses: actions/cache@v3 + uses: actions/cache@v4 with: path: ~/river_data key: ${{ runner.os }} - name: Cache scikit-learn datasets - uses: actions/cache@v3 + uses: actions/cache@v4 with: path: ~/scikit_learn_data key: ${{ runner.os }} diff --git a/Cargo.toml b/Cargo.toml index 4c53bc7e9b..6d5a85cd19 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -11,7 +11,7 @@ path = "rust_src/lib.rs" crate-type = ["cdylib"] [dependencies] -pyo3 = { version = "0.18.3", features = ["extension-module"] } +pyo3 = { version = "0.23.1", features = ["extension-module"] } watermill = "0.1.1" bincode = "1.3.3" serde = { version = "1.0", features = ["derive"] } diff --git a/README.md b/README.md index c1ffd72905..8dc3d02ee4 100644 --- a/README.md +++ b/README.md @@ -103,7 +103,7 @@ Of course, this is just a contrived example. We welcome you to check the [introd ## 🛠 Installation -River is intended to work with **Python 3.8 and above**. Installation can be done with `pip`: +River is intended to work with **Python 3.10 and above**. Installation can be done with `pip`: ```sh pip install river diff --git a/build.py b/build.py index 6511455d42..8fb93e0f5c 100644 --- a/build.py +++ b/build.py @@ -1,36 +1,23 @@ import platform -from distutils.command.build_ext import build_ext -from distutils.errors import CCompilerError, DistutilsExecError, DistutilsPlatformError + +import numpy import setuptools +from Cython.Build import cythonize +from setuptools.command.build_ext import build_ext +from setuptools.errors import CCompilerError from setuptools_rust import Binding, RustExtension -try: - from numpy import __version__ as numpy_version - from numpy import get_include -except ImportError: - subprocess.check_call([sys.executable, "-m", "pip", "install", "numpy"]) - from numpy import __version__ as numpy_version - from numpy import get_include - -try: - from Cython.Build import cythonize -except ImportError: - subprocess.check_call([sys.executable, "-m", "pip", "install", "Cython"]) - from Cython.Build import cythonize # type: ignore - - ext_modules = cythonize( module_list=[ setuptools.Extension( "*", - sources=["**/*.pyx"], - include_dirs=[get_include()], + sources=["river/**/*.pyx"], + include_dirs=[numpy.get_include()], libraries=[] if platform.system() == "Windows" else ["m"], define_macros=[("NPY_NO_DEPRECATED_API", "NPY_1_7_API_VERSION")], ) ], compiler_directives={ - "language_level": 3, "binding": True, "embedsignature": True, }, @@ -47,13 +34,13 @@ class ExtBuilder(build_ext): def run(self): try: build_ext.run(self) - except (DistutilsPlatformError, FileNotFoundError): + except (FileNotFoundError): raise BuildFailed("File not found. Could not compile C extension.") def build_extension(self, ext): try: build_ext.build_extension(self, ext) - except (CCompilerError, DistutilsExecError, DistutilsPlatformError, ValueError): + except (CCompilerError, ValueError): raise BuildFailed("Could not compile C extension.") diff --git a/docs/recipes/bandits-101.ipynb b/docs/recipes/bandits-101.ipynb index 4d36c117f5..d03bd9cd4a 100644 --- a/docs/recipes/bandits-101.ipynb +++ b/docs/recipes/bandits-101.ipynb @@ -20,7 +20,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2023-12-04T17:47:28.911688Z", @@ -31,7 +31,7 @@ }, "outputs": [], "source": [ - "import gym\n", + "import gymnasium as gym\n", "\n", "for k in gym.envs.registry:\n", " if k.startswith('river_bandits'):\n", @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2023-12-04T17:47:28.988524Z", @@ -59,7 +59,7 @@ }, "outputs": [], "source": [ - "import gym\n", + "import gymnasium as gym\n", "from river import bandit\n", "import pandas as pd\n", "from tqdm import tqdm\n", diff --git a/docs/releases/0.22.0.md b/docs/releases/0.22.0.md new file mode 100644 index 0000000000..a8781f95c5 --- /dev/null +++ b/docs/releases/0.22.0.md @@ -0,0 +1,33 @@ +# 0.22.0 - 2024-11-23 + +- Dropped support for Python 3.9 and added support for Python 3.13. +- The methods `learn_one`, `learn_many`, `update`, `revert`, and `append` now return `None`. +- The units used in River have been corrected to be based on powers of 2 (KiB, MiB). This only changes the display, the behaviour is unchanged. + +## cluster + +- Update the description of `cluster.ODAC`. +- Change `draw` in `cluster.ODAC` to draw the hierarchical cluster's structure as a Graphviz graph. +- Add `render_ascii` in `cluster.ODAC` to render the hierarchical cluster's structure in text format. +- Work with `stats.Var` in `cluster.ODAC` when cluster has only one time series. + +## drift + +- Make `drift.ADWIN` comply with the reference MOA implementation. + +## feature extraction + +- The mini-batch methods for `feature_extraction.TFIDF` now systematically raise an exception, as they are not implemented. + +## stats + +- Removed the unexported class `stats.CentralMoments`. + +## tree + +- Instead of letting trees grow indefinitely, setting the `max_depth` parameter to `None` will stop the trees from growing when they reach the system recursion limit. +- Added `tree.LASTClassifier` (Local Adaptive Streaming Tree Classifier). + +## stream + +- `stream.iter_arff` now supports blank values (treated as missing values). diff --git a/docs/releases/unreleased.md b/docs/releases/unreleased.md index 5ed9315b52..79e701b844 100644 --- a/docs/releases/unreleased.md +++ b/docs/releases/unreleased.md @@ -1,32 +1 @@ # Unreleased - -- The units used in River have been corrected to be based on powers of 2 (KiB, MiB). This only changes the display, the behaviour is unchanged. -- The methods `learn_one`, `learn_many`, `update`, `revert`, and `append` now return `None`. - -## cluster - -- Update the description of `cluster.ODAC`. -- Change `draw` in `cluster.ODAC` to draw the hierarchical cluster's structure as a Graphviz graph. -- Add `render_ascii` in `cluster.ODAC` to render the hierarchical cluster's structure in text format. -- Work with `stats.Var` in `cluster.ODAC` when cluster has only one time series. - -## drift - -- Make `drift.ADWIN` comply with the reference MOA implementation. - -## feature extraction - -- The mini-batch methods for `feature_extraction.TFIDF` now systematically raise an exception, as they are not implemented. - -## stats - -- Removed the unexported class `stats.CentralMoments`. - -## tree - -- Instead of letting trees grow indefinitely, setting the `max_depth` parameter to `None` will stop the trees from growing when they reach the system recursion limit. -- Added `tree.LASTClassifier` (Local Adaptive Streaming Tree Classifier). - -## stream - -- `stream.iter_arff` now supports blank values (treated as missing values). diff --git a/poetry.lock b/poetry.lock index 968c69b1e4..b2141a773d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,36 +1,36 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. [[package]] name = "alabaster" -version = "0.7.16" +version = "1.0.0" description = "A light, configurable Sphinx theme" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" files = [ - {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"}, - {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"}, + {file = "alabaster-1.0.0-py3-none-any.whl", hash = "sha256:fc6786402dc3fcb2de3cabd5fe455a2db534b371124f1f21de8731783dec828b"}, + {file = "alabaster-1.0.0.tar.gz", hash = "sha256:c00dca57bca26fa62a6d7d0a9fcce65f3e026e9bfe33e9c538fd3fbb2144fd9e"}, ] [[package]] name = "annotated-types" -version = "0.6.0" +version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" files = [ - {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, - {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, ] [[package]] name = "anyio" -version = "4.3.0" +version = "4.6.2.post1" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"}, - {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"}, + {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"}, + {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"}, ] [package.dependencies] @@ -40,9 +40,9 @@ sniffio = ">=1.1" typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""} [package.extras] -doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] -test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] -trio = ["trio (>=0.23)"] +doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore 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"85b418b4f3e05044a6e3a2443e434a08137d50d21c5c8e20a896d271fe68ff7d" +python-versions = "^3.10" +content-hash = "9f88fae88eadf464e333a5639fcdae85ec4156bceafa03591484aa53bcb87f18" diff --git a/pyproject.toml b/pyproject.toml index 1729441e4f..346c94489a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,10 +1,16 @@ [build-system] -requires = ["poetry-core>=1.0.0", "cython", "numpy", "setuptools", "wheel", "setuptools-rust"] +requires = [ + "poetry-core>=1.0.0", + "cython>3", + "numpy>=2.0.0", + "setuptools>=70.1.0", + "setuptools-rust", +] build-backend = "poetry.core.masonry.api" [tool.poetry] name = "river" -version = "0.21.2" +version = "0.22.0" description = "Online machine learning in Python" readme = "README.md" homepage = "https://riverml.xyz/" @@ -20,7 +26,7 @@ include = [ "river/datasets/*.zip", "river/stream/*.zip", "Cargo.toml", - "rust_src/**/*" + "rust_src/**/*", ] [tool.poetry.build] @@ -28,35 +34,35 @@ generate-setup-file = true script = "build.py" [tool.poetry.dependencies] -python = "^3.9" -numpy = "^1.23.0" -scipy = "^1.12.1" -pandas = "^2.1" +python = "^3.10" +numpy = ">=1.23.0" +scipy = "^1.14.1" +pandas = "^2.2.3" [tool.poetry.group.dev.dependencies] graphviz = "^0.20.1" gymnasium = "^0.29.0" -matplotlib = "^3.0.2" +matplotlib = "^3.8.4" mypy = "^1.11.1" pre-commit = "^3.5.0" pytest = "^7.4.2" ruff = "^0.4.10" -scikit-learn = "^1.3.1" +scikit-learn = "^1.5.1" sqlalchemy = "^2.0.22" -sympy = "^1.10.1" -pytest-xdist = {extras = ["psutil"], version = "^3.3.1"} +sympy = "^1.12.1" +pytest-xdist = { extras = ["psutil"], version = "^3.3.1" } ipykernel = "^6.26.0" ipython = "^8.17.2" rich = "^13.6.0" jupyter = "^1.0.0" mike = "^2.0.0" -polars = "^0.20.8" +polars = "^1.1.0" [tool.poetry.group.compat] optional = true [tool.poetry.group.compat.dependencies] -scikit-learn = "^1.0.1" +scikit-learn = "^1.5.1" sqlalchemy = "^2.0.0" [tool.poetry.group.docs] @@ -84,7 +90,7 @@ optional = true [tool.poetry.group.benchmark.dependencies] "dominate" = "2.8.0" -"scikit-learn" = "1.3.1" +"scikit-learn" = "1.5.1" "tabulate" = "0.9.0" "vowpalwabbit" = "9.9.0" "watermark" = "2.4.3" @@ -161,7 +167,7 @@ module = [ "requests.*", "gymnasium.*", "sympy.*", - "polars.*" + "polars.*", ] ignore_missing_imports = true diff --git a/river/__version__.py b/river/__version__.py index f31b3c83c6..2f4ea6d110 100644 --- a/river/__version__.py +++ b/river/__version__.py @@ -1,3 +1,3 @@ from __future__ import annotations -__version__ = "0.21.2" +__version__ = "0.22.0" diff --git a/river/compose/test_product.py b/river/compose/test_product.py index 746121b8b5..34a623a445 100644 --- a/river/compose/test_product.py +++ b/river/compose/test_product.py @@ -83,10 +83,10 @@ def test_issue_1253(): >>> model = group1 + group1 * group2 >>> XT = model.transform_many(X) - >>> XT.memory_usage().sum() // 1000 + >>> XT.memory_usage().sum().item() // 1000 85 - >>> XT.sparse.to_dense().memory_usage().sum() // 1000 + >>> XT.sparse.to_dense().memory_usage().sum().item() // 1000 4455 >>> X, y = datasets.make_regression(n_samples=6, n_features=2) diff --git a/river/datasets/synth/anomaly_sine.py b/river/datasets/synth/anomaly_sine.py index 29652f9c8f..a5d2bc50ac 100644 --- a/river/datasets/synth/anomaly_sine.py +++ b/river/datasets/synth/anomaly_sine.py @@ -139,4 +139,4 @@ def __iter__(self): self._generate_data() for xi, yi in itertools.zip_longest(self.X, self.y if hasattr(self.y, "__iter__") else []): - yield dict(zip(["sine", "cosine"], xi)), bool(yi) + yield dict(zip(["sine", "cosine"], xi.tolist())), bool(yi) diff --git a/river/datasets/synth/logical.py b/river/datasets/synth/logical.py index 63a9d25ca8..064bac42fb 100644 --- a/river/datasets/synth/logical.py +++ b/river/datasets/synth/logical.py @@ -67,7 +67,10 @@ def __iter__(self): X, Y = self._make_logical(n_tiles=self.n_tiles, shuffle=self.shuffle) for xi, yi in itertools.zip_longest(X, Y if hasattr(Y, "__iter__") else []): - yield dict(zip(self.feature_names, xi)), dict(zip(self.target_names, yi)) + yield ( + dict(zip(self.feature_names, xi.tolist())), + dict(zip(self.target_names, yi.tolist())), + ) def _make_logical(self, n_tiles: int = 1, shuffle: bool = True): """Make toy dataset""" diff --git a/river/facto/ffm.py b/river/facto/ffm.py index 01991887c2..447717e070 100644 --- a/river/facto/ffm.py +++ b/river/facto/ffm.py @@ -255,7 +255,7 @@ def __init__( def predict_one(self, x): x = self._ohe_cat_features(x) - return self._raw_dot(x) + return self._raw_dot(x).item() class FFMClassifier(FFM, base.Classifier): diff --git a/river/facto/fm.py b/river/facto/fm.py index efe0c47ee6..1294b8984f 100644 --- a/river/facto/fm.py +++ b/river/facto/fm.py @@ -238,7 +238,7 @@ def __init__( def predict_one(self, x): x = self._ohe_cat_features(x) - return self._raw_dot(x) + return self._raw_dot(x).item() class FMClassifier(FM, base.Classifier): diff --git a/river/facto/fwfm.py b/river/facto/fwfm.py index 963522fc4d..2b4684d4fc 100644 --- a/river/facto/fwfm.py +++ b/river/facto/fwfm.py @@ -275,7 +275,7 @@ def __init__( def predict_one(self, x): x = self._ohe_cat_features(x) - return self._raw_dot(x) + return self._raw_dot(x).item() class FwFMClassifier(FwFM, base.Classifier): diff --git a/river/facto/hofm.py b/river/facto/hofm.py index 330b5a55af..7b9096008d 100644 --- a/river/facto/hofm.py +++ b/river/facto/hofm.py @@ -267,7 +267,7 @@ def __init__( def predict_one(self, x): x = self._ohe_cat_features(x) - return self._raw_dot(x) + return self._raw_dot(x).item() class HOFMClassifier(HOFM, base.Classifier): diff --git a/river/forest/adaptive_random_forest.py b/river/forest/adaptive_random_forest.py index dd9a757f4d..791e614d88 100644 --- a/river/forest/adaptive_random_forest.py +++ b/river/forest/adaptive_random_forest.py @@ -160,10 +160,12 @@ def learn_one(self, x: dict, y: base.typing.Target, **kwargs): # Update performance evaluator self._metrics[i].update( y_true=y, - y_pred=model.predict_proba_one(x) - if isinstance(self.metric, metrics.base.ClassificationMetric) - and not self.metric.requires_labels - else y_pred, + y_pred=( + model.predict_proba_one(x) + if isinstance(self.metric, metrics.base.ClassificationMetric) + and not self.metric.requires_labels + else y_pred + ), ) k = poisson(rate=self.lambda_value, rng=self._rng) diff --git a/river/linear_model/bayesian_lin_reg.py b/river/linear_model/bayesian_lin_reg.py index f95ce53f0c..503573bd7f 100644 --- a/river/linear_model/bayesian_lin_reg.py +++ b/river/linear_model/bayesian_lin_reg.py @@ -211,7 +211,7 @@ def predict_one(self, x, with_dist=False): """ # Bishop equation 3.58 - y_pred_mean = utils.math.dot(self._m, x) + y_pred_mean = 0.0 if not len(self._m) else utils.math.dot(self._m, x).item() if not with_dist: return y_pred_mean diff --git a/river/naive_bayes/base.py b/river/naive_bayes/base.py index 709610ebef..c53e6c6f5a 100644 --- a/river/naive_bayes/base.py +++ b/river/naive_bayes/base.py @@ -83,7 +83,7 @@ def one_hot_encode(y: pd.Series) -> pd.DataFrame: """ classes = np.unique(y) indices = np.searchsorted(classes, y) - indptr = np.hstack((0, np.cumsum(np.in1d(y, classes)))) + indptr = np.hstack((0, np.cumsum(np.isin(y, classes)))) data = np.empty_like(indices) data.fill(1) return pd.DataFrame.sparse.from_spmatrix( diff --git a/river/optim/initializers.py b/river/optim/initializers.py index a5fc7d5a17..76f303eb64 100644 --- a/river/optim/initializers.py +++ b/river/optim/initializers.py @@ -80,7 +80,7 @@ class Normal(Initializer): >>> init = optim.initializers.Normal(mu=0, sigma=1, seed=42) >>> init(shape=1) - 0.496714 + np.float64(0.4967141...) >>> init(shape=2) array([-0.1382643 , 0.64768854]) diff --git a/river/optim/newton.py b/river/optim/newton.py index 7de9b8c38f..8e1c5d0349 100644 --- a/river/optim/newton.py +++ b/river/optim/newton.py @@ -45,10 +45,10 @@ def sherman_morrison(A_inv: dict, u: dict, v: dict) -> dict: den = 1 + utils.math.dot(utils.math.dotvecmat(u, A_inv), v) - for k, v in utils.math.matmul2d( + for k, val in utils.math.matmul2d( utils.math.matmul2d(A_inv, utils.math.outer(u, v)), A_inv ).items(): - A_inv[k] = A_inv.get(k, 0) - v / den + A_inv[k] = A_inv.get(k, 0) - val / den return A_inv diff --git a/river/preprocessing/lda.py b/river/preprocessing/lda.py index 4830e8bb73..f2af99a27e 100644 --- a/river/preprocessing/lda.py +++ b/river/preprocessing/lda.py @@ -209,7 +209,7 @@ def transform_one(self, x): # Sample empirical topic assignment: _, components = self._compute_statistics_components(words_indexes_list) - return dict(enumerate(components)) + return dict(enumerate(components.tolist())) def _update_indexes(self, word_list: typing.Iterable[str]): """ diff --git a/river/preprocessing/scale.py b/river/preprocessing/scale.py index 25ab2328dd..eab0a68966 100644 --- a/river/preprocessing/scale.py +++ b/river/preprocessing/scale.py @@ -212,10 +212,12 @@ def learn_many(self, X: pd.DataFrame): a = old_count / (old_count + new_count) b = new_count / (old_count + new_count) - self.means[col] = a * old_mean + b * new_mean + self.means[col] = (a * old_mean + b * new_mean).item() if self.with_std: - self.vars[col] = a * old_var + b * new_var + a * b * (old_mean - new_mean) ** 2 - self.counts[col] += new_count + self.vars[col] = ( + a * old_var + b * new_var + a * b * (old_mean - new_mean) ** 2 + ).item() + self.counts[col] += new_count.item() def transform_many(self, X: pd.DataFrame): """Scale a mini-batch of features. diff --git a/river/proba/beta.py b/river/proba/beta.py index f4581d4730..30483debc7 100644 --- a/river/proba/beta.py +++ b/river/proba/beta.py @@ -92,20 +92,20 @@ def revert(self, x): else: self.beta -= 1 - def __call__(self, p: float): + def __call__(self, p: float) -> float: return ( p ** (self.alpha - 1) * (1 - p) ** (self.beta - 1) / _beta_func(self.alpha, self.beta) ) - def sample(self): + def sample(self) -> float: return self._rng.betavariate(self.alpha, self.beta) @property - def mode(self): + def mode(self) -> float: try: return (self.alpha - 1) / (self.alpha + self.beta - 2) except ZeroDivisionError: return 0.5 - def cdf(self, x): - return scipy.special.betainc(self.alpha, self.beta, x) + def cdf(self, x) -> float: + return scipy.special.betainc(self.alpha, self.beta, x).item() diff --git a/river/proba/gaussian.py b/river/proba/gaussian.py index cfe428f7a3..741bf56086 100644 --- a/river/proba/gaussian.py +++ b/river/proba/gaussian.py @@ -72,7 +72,7 @@ def update(self, x, w=1.0): def revert(self, x, w=1.0): self._var.revert(x, w) - def __call__(self, x): + def __call__(self, x) -> float: var = self._var.get() if var: try: @@ -83,17 +83,17 @@ def __call__(self, x): return 0.0 return 0.0 - def cdf(self, x): + def cdf(self, x) -> float: try: return 0.5 * (1.0 + math.erf((x - self.mu) / (self.sigma * math.sqrt(2.0)))) except ZeroDivisionError: return 0.0 - def sample(self): + def sample(self) -> float: return self._rng.gauss(self.mu, self.sigma) @property - def mode(self): + def mode(self) -> float: return self.mu @@ -207,7 +207,7 @@ class MultivariateGaussian(base.MultivariateContinuousDistribution): >>> multi.mu['blue'] == single.mu True >>> multi.sigma['blue']['blue'] == single.sigma - True + np.True_ """ diff --git a/river/reco/biased_mf.py b/river/reco/biased_mf.py index 8d65b4f07c..880c9f0ebe 100644 --- a/river/reco/biased_mf.py +++ b/river/reco/biased_mf.py @@ -199,7 +199,7 @@ def predict_one(self, user, item, x=None): # Add the dot product of the user and the item latent vectors y_pred += np.dot(self.u_latents[user], self.i_latents[item]) - return y_pred + return y_pred.item() def learn_one(self, user, item, y, x=None): # Update the global mean diff --git a/river/reco/funk_mf.py b/river/reco/funk_mf.py index 1bf7285799..be6b005e9d 100644 --- a/river/reco/funk_mf.py +++ b/river/reco/funk_mf.py @@ -127,7 +127,7 @@ def _mutable_attributes(self): return {"optimizer", "l2", "loss", "clip_gradient", "initializer"} def predict_one(self, user, item, x=None): - return np.dot(self.u_latents[user], self.i_latents[item]) + return np.dot(self.u_latents[user], self.i_latents[item]).item() def learn_one(self, user, item, y, x=None): # Calculate the gradient of the loss with respect to the prediction diff --git a/river/sketch/counter.py b/river/sketch/counter.py index 1e54b7b8e5..9b75a5373e 100644 --- a/river/sketch/counter.py +++ b/river/sketch/counter.py @@ -130,7 +130,7 @@ class Counter(base.Base): >>> def cosine_dist(cms_a, cms_b): ... num = cms_a @ cms_b ... den = math.sqrt(cms_a @ cms_a) * math.sqrt(cms_b @ cms_b) - ... return num / den + ... return (num / den).item() And use it to calculate the cosine distance between the elements monitored in `cms_a` and `cms_b`: @@ -162,7 +162,7 @@ def _hash(self, x): def __getitem__(self, x) -> int: # Point query - return min(self._cms[self._hash(x)]) + return min(self._cms[self._hash(x)]).item() def __matmul__(self, other: Counter) -> int: # Dot product @@ -183,7 +183,7 @@ def update(self, x: typing.Hashable, w: int = 1): def total(self) -> int: """Return the total count.""" - return sum(self._cms[0, :]) + return sum(self._cms[0, :]).item() @property def n_slots(self) -> int: diff --git a/river/stats/mean.py b/river/stats/mean.py index 7fe2e7e140..6883c8074e 100644 --- a/river/stats/mean.py +++ b/river/stats/mean.py @@ -69,7 +69,7 @@ def update(self, x, w=1.0): def update_many(self, X: np.ndarray): a = self.n / (self.n + len(X)) b = len(X) / (self.n + len(X)) - self._mean = a * self._mean + b * np.mean(X) + self._mean = a * self._mean + b * np.mean(X).item() self.n += len(X) def revert(self, x, w=1.0): diff --git a/river/stats/var.py b/river/stats/var.py index 6532e22bec..86fa412061 100644 --- a/river/stats/var.py +++ b/river/stats/var.py @@ -95,7 +95,7 @@ def update_many(self, X: np.ndarray): mean_old = self.mean.get() self.mean.update_many(X) mean_new = self.mean.get() - self._S += np.sum(np.multiply(np.subtract(X, mean_old), np.subtract(X, mean_new))) + self._S += np.sum(np.multiply(np.subtract(X, mean_old), np.subtract(X, mean_new))).item() def get(self): if self.n > self.ddof: diff --git a/river/stream/iter_array.py b/river/stream/iter_array.py index f5154d4821..b5fdbcb541 100644 --- a/river/stream/iter_array.py +++ b/river/stream/iter_array.py @@ -75,14 +75,14 @@ def iter_array( if isinstance(X[0], str): def handle_features(x): - return x + return x.tolist() if isinstance(x, np.ndarray) else x # If not we assume each row if a set of features, and will convert them to a dictionary else: feature_names = list(range(len(X[0]))) if feature_names is None else feature_names def handle_features(x): - return dict(zip(feature_names, xi)) + return dict(zip(feature_names, xi.tolist() if isinstance(xi, np.ndarray) else xi)) multioutput = y is not None and not np.isscalar(y[0]) if multioutput and target_names is None: @@ -97,8 +97,8 @@ def handle_features(x): if multioutput: for xi, yi in itertools.zip_longest(X, y if hasattr(y, "__iter__") else []): # type: ignore - yield handle_features(xi), dict(zip(target_names, yi)) # type: ignore + yield handle_features(xi), dict(zip(target_names, yi.tolist())) # type: ignore else: for xi, yi in itertools.zip_longest(X, y if hasattr(y, "__iter__") else []): # type: ignore - yield handle_features(xi), yi + yield handle_features(xi), yi.item() if isinstance(yi, np.generic) else yi diff --git a/river/utils/math.py b/river/utils/math.py index 5d018b4b43..83810e957f 100644 --- a/river/utils/math.py +++ b/river/utils/math.py @@ -191,7 +191,7 @@ def softmax(y_pred: dict): return y_pred -def prod(iterable): +def prod(iterable) -> float: """Product function. Parameters @@ -202,7 +202,7 @@ def prod(iterable): return functools.reduce(operator.mul, iterable, 1) -def dot(x: dict, y: dict): +def dot(x: dict, y: dict) -> float: """Returns the dot product of two vectors represented as dicts. Parameters @@ -282,7 +282,7 @@ def clamp(x: float, minimum=0.0, maximum=1.0): return max(min(x, maximum), minimum) -def norm(x: dict, order=None): +def norm(x: dict, order=None) -> float: """Compute the norm of a dictionaries values. Parameters @@ -291,7 +291,7 @@ def norm(x: dict, order=None): order """ - return np.linalg.norm(list(x.values()), ord=order) + return np.linalg.norm(list(x.values()), ord=order).item() def sign(x: float): diff --git a/rust_src/lib.rs b/rust_src/lib.rs index 2c9c834ba3..5b8627c3dd 100644 --- a/rust_src/lib.rs +++ b/rust_src/lib.rs @@ -17,13 +17,12 @@ pub struct RsQuantile { #[pymethods] impl RsQuantile { #[new] + #[pyo3(signature = (q=None))] pub fn new(q: Option) -> RsQuantile { match q { - Some(q) => { - return RsQuantile { - quantile: Quantile::new(q).expect("q should between 0 and 1"), - } - } + Some(q) => RsQuantile { + quantile: Quantile::new(q).expect("q should be between 0 and 1"), + }, None => RsQuantile { quantile: Quantile::default(), }, @@ -36,11 +35,11 @@ impl RsQuantile { self.quantile.get() } - pub fn __setstate__(&mut self, state: &PyBytes) -> PyResult<()> { + pub fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> { *self = deserialize(state.as_bytes()).unwrap(); Ok(()) } - pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<&'py PyBytes> { + pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult> { Ok(PyBytes::new(py, &serialize(&self).unwrap())) } } @@ -67,11 +66,11 @@ impl RsEWMean { self.ewmean.get() } - pub fn __setstate__(&mut self, state: &PyBytes) -> PyResult<()> { + pub fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> { *self = deserialize(state.as_bytes()).unwrap(); Ok(()) } - pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<&'py PyBytes> { + pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult> { Ok(PyBytes::new(py, &serialize(&self).unwrap())) } pub fn __getnewargs__(&self) -> PyResult<(f64,)> { @@ -101,11 +100,11 @@ impl RsEWVar { self.ewvar.get() } - pub fn __setstate__(&mut self, state: &PyBytes) -> PyResult<()> { + pub fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> { *self = deserialize(state.as_bytes()).unwrap(); Ok(()) } - pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<&'py PyBytes> { + pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult> { Ok(PyBytes::new(py, &serialize(&self).unwrap())) } pub fn __getnewargs__(&self) -> PyResult<(f64,)> { @@ -138,11 +137,11 @@ impl RsIQR { self.iqr.get() } - pub fn __setstate__(&mut self, state: &PyBytes) -> PyResult<()> { + pub fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> { *self = deserialize(state.as_bytes()).unwrap(); Ok(()) } - pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<&'py PyBytes> { + pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult> { Ok(PyBytes::new(py, &serialize(&self).unwrap())) } pub fn __getnewargs__(&self) -> PyResult<(f64, f64)> { @@ -171,11 +170,11 @@ impl RsKurtosis { pub fn get(&self) -> f64 { self.kurtosis.get() } - pub fn __setstate__(&mut self, state: &PyBytes) -> PyResult<()> { + pub fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> { *self = deserialize(state.as_bytes()).unwrap(); Ok(()) } - pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<&'py PyBytes> { + pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult> { Ok(PyBytes::new(py, &serialize(&self).unwrap())) } pub fn __getnewargs__(&self) -> PyResult<(bool,)> { @@ -205,11 +204,11 @@ impl RsPeakToPeak { self.ptp.get() } - pub fn __setstate__(&mut self, state: &PyBytes) -> PyResult<()> { + pub fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> { *self = deserialize(state.as_bytes()).unwrap(); Ok(()) } - pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<&'py PyBytes> { + pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult> { Ok(PyBytes::new(py, &serialize(&self).unwrap())) } } @@ -236,11 +235,11 @@ impl RsSkew { self.skew.get() } - pub fn __setstate__(&mut self, state: &PyBytes) -> PyResult<()> { + pub fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> { *self = deserialize(state.as_bytes()).unwrap(); Ok(()) } - pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<&'py PyBytes> { + pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult> { Ok(PyBytes::new(py, &serialize(&self).unwrap())) } pub fn __getnewargs__(&self) -> PyResult<(bool,)> { @@ -271,11 +270,11 @@ impl RsRollingQuantile { pub fn get(&self) -> f64 { self.stat.get() } - pub fn __setstate__(&mut self, state: &PyBytes) -> PyResult<()> { + pub fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> { *self = deserialize(state.as_bytes()).unwrap(); Ok(()) } - pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<&'py PyBytes> { + pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult> { Ok(PyBytes::new(py, &serialize(&self).unwrap())) } pub fn __getnewargs__(&self) -> PyResult<(f64, usize)> { @@ -309,11 +308,11 @@ impl RsRollingIQR { pub fn get(&self) -> f64 { self.stat.get() } - pub fn __setstate__(&mut self, state: &PyBytes) -> PyResult<()> { + pub fn __setstate__(&mut self, state: Bound<'_, PyBytes>) -> PyResult<()> { *self = deserialize(state.as_bytes()).unwrap(); Ok(()) } - pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult<&'py PyBytes> { + pub fn __getstate__<'py>(&self, py: Python<'py>) -> PyResult> { Ok(PyBytes::new(py, &serialize(&self).unwrap())) } pub fn __getnewargs__(&self) -> PyResult<(f64, f64, usize)> { @@ -323,7 +322,7 @@ impl RsRollingIQR { /// A Python module implemented in Rust. #[pymodule] -fn _rust_stats(_py: Python, m: &PyModule) -> PyResult<()> { +fn _rust_stats(_py: Python, m: &Bound) -> PyResult<()> { m.add_class::()?; m.add_class::()?; m.add_class::()?;