Add Python 3.13 support and deploy a compiled wheel to PyPI

.github/workflows/ci.yml

@@ -12,7 +12,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
+        python-version: ["3.7", "3.8", "3.9", "3.10", "3.11", "3.12", "3.13"]
         os: ["ubuntu-20.04", "macos-latest", "windows-latest"]
 
     steps:

.github/workflows/publish.yml

@@ -0,0 +1,75 @@
+name: Publish
+
+on:
+  push:
+    tags:
+      - 'v*.*.*'
+
+jobs:
+  build:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, windows-latest, macos-latest]
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      - name: Set up QEMU (for Linux aarch64)
+        if: runner.os == 'Linux'
+        uses: docker/setup-qemu-action@v3
+        with:
+          platforms: arm64
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.x'
+
+      - name: Install cibuildwheel
+        run: python -m pip install cibuildwheel==3.2.1
+
+      - name: Build wheels
+        run: python -m cibuildwheel --output-dir dist
+        env:
+          CIBW_BEFORE_BUILD: python -m pip install -U pip && rm -rf build
+          CIBW_ARCHS_LINUX: auto aarch64
+
+      - name: Upload wheels
+        uses: actions/upload-artifact@v4
+        with:
+          name: built-wheels-${{ matrix.os }}-${{ strategy.job-index }}
+          path: ./dist/*.whl
+
+      - name: Build source distribution
+        if: matrix.os == 'ubuntu-latest'
+        run: python -m pip install build && python -m build --sdist --outdir dist
+
+      - name: Upload sdist
+        if: matrix.os == 'ubuntu-latest'
+        uses: actions/upload-artifact@v4
+        with:
+          name: built-sdist
+          path: ./dist/*.tar.gz
+
+  publish:
+    needs: build
+    runs-on: ubuntu-latest
+    # pypi trusted publishing via OIDC
+    permissions:
+      id-token: write
+    steps:
+      - name: Download all artifacts
+        uses: actions/download-artifact@v4
+        with:
+          pattern: built-*
+          path: dist
+          merge-multiple: true
+
+      - name: Publish package
+        uses: pypa/gh-action-pypi-publish@release/v1
+        if: startsWith(github.ref, 'refs/tags/v') && github.event_name == 'push'
+        with:
+          password: ${{ secrets.PYPI_API_TOKEN }}

README.rst

@@ -8,7 +8,7 @@ Annoy
    :align: center
 
 .. image:: https://github.com/spotify/annoy/actions/workflows/ci.yml/badge.svg
-    :target: https://github.com/spotify/annoy/actions
+   :target: https://github.com/spotify/annoy/actions
 
 Annoy (`Approximate Nearest Neighbors <http://en.wikipedia.org/wiki/Nearest_neighbor_search#Approximate_nearest_neighbor>`__ Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are `mmapped <https://en.wikipedia.org/wiki/Mmap>`__ into memory so that many processes may share the same data.
 
@@ -136,7 +136,7 @@ More info
 * Annoy is available as a `conda package <https://anaconda.org/conda-forge/python-annoy>`__ on Linux, OS X, and Windows.
 * `ann-benchmarks <https://github.com/erikbern/ann-benchmarks>`__ is a benchmark for several approximate nearest neighbor libraries. Annoy seems to be fairly competitive, especially at higher precisions:
 
-.. figure:: https://github.com/erikbern/ann-benchmarks/raw/master/results/glove-100-angular.png
+.. figure:: https://raw.githubusercontent.com/erikbern/ann-benchmarks/main/results/glove-100-angular.png
    :alt: ANN benchmarks
    :align: center
    :target: https://github.com/erikbern/ann-benchmarks

setup.py

@@ -16,7 +16,6 @@
 # the License.
 
 from setuptools import setup, Extension
-import codecs
 import os
 import platform
 import sys
@@ -32,7 +31,7 @@
 
 """
 
-with codecs.open('README.rst', encoding='utf-8') as fobj:
+with open('README.rst', encoding='utf-8') as fobj:
     long_description = readme_note + fobj.read()
 
 # Various platform-dependent extras
@@ -86,6 +85,7 @@
           )
       ],
       long_description=long_description,
+      long_description_content_type='text/x-rst',
       author='Erik Bernhardsson',
       author_email='mail@erikbern.com',
       url='https://github.com/spotify/annoy',
@@ -102,6 +102,10 @@
           '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 :: 3.13',
       ],
       keywords='nns, approximate nearest neighbor search',
       setup_requires=['nose>=1.0'],

tox.ini

@@ -1,5 +1,5 @@
 [tox]
-envlist=py{26,27,33,34,35,36,37}, go, lua
+envlist=py{26,27,33,34,35,36,37,38,39,310,311,312,313}, go, lua
 
 [testenv]
 setenv =