From 6df11f0f2848e60dfe3d6d03260b2da2f349bc29 Mon Sep 17 00:00:00 2001 From: "cibuildwheel-bot[bot]" <83877280+cibuildwheel-bot[bot]@users.noreply.github.com> Date: Mon, 25 Nov 2024 21:10:24 +0100 Subject: [PATCH] [Bot] Update dependencies (#2096) Update dependencies Co-authored-by: cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com> --- README.md | 4 +- .../resources/constraints-pyodide312.txt | 8 ++-- cibuildwheel/resources/nodejs.toml | 2 +- .../resources/pinned_docker_images.cfg | 42 +++++++++---------- docs/working-examples.md | 8 ++-- 5 files changed, 32 insertions(+), 32 deletions(-) diff --git a/README.md b/README.md index d0348bab..1a6e4c73 100644 --- a/README.md +++ b/README.md @@ -168,8 +168,8 @@ Here are some repos that use cibuildwheel. | [Tornado][] | ![github icon][] | ![linux icon][] ![apple icon][] ![windows icon][] | Tornado is a Python web framework and asynchronous networking library. Uses stable ABI for a small C extension. | | [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform | | [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions | -| [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | | [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. | +| [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | | [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS | [scikit-learn]: https://github.com/scikit-learn/scikit-learn @@ -179,8 +179,8 @@ Here are some repos that use cibuildwheel. [Tornado]: https://github.com/tornadoweb/tornado [NCNN]: https://github.com/Tencent/ncnn [Matplotlib]: https://github.com/matplotlib/matplotlib -[Prophet]: https://github.com/facebook/prophet [MyPy]: https://github.com/mypyc/mypy_mypyc-wheels +[Prophet]: https://github.com/facebook/prophet [Kivy]: https://github.com/kivy/kivy [appveyor icon]: docs/data/readme_icons/appveyor.svg diff --git a/cibuildwheel/resources/constraints-pyodide312.txt b/cibuildwheel/resources/constraints-pyodide312.txt index a0fcc3be..901247b6 100644 --- a/cibuildwheel/resources/constraints-pyodide312.txt +++ b/cibuildwheel/resources/constraints-pyodide312.txt @@ -19,7 +19,7 @@ charset-normalizer==3.4.0 # via requests click==8.1.7 # via typer -cmake==3.31.0.1 +cmake==3.31.1 # via pyodide-build distlib==0.3.9 # via virtualenv @@ -52,11 +52,11 @@ pip==24.3.1 # via -r .nox/update_constraints/tmp/constraints-pyodide.in platformdirs==4.3.6 # via virtualenv -pydantic==2.10.0 +pydantic==2.10.1 # via # pyodide-build # pyodide-lock -pydantic-core==2.27.0 +pydantic-core==2.27.1 # via pydantic pygments==2.18.0 # via rich @@ -107,7 +107,7 @@ virtualenv==20.27.1 # via # build # pyodide-build -wheel==0.45.0 +wheel==0.45.1 # via # auditwheel-emscripten # pyodide-build diff --git a/cibuildwheel/resources/nodejs.toml b/cibuildwheel/resources/nodejs.toml index 6d3f3f8c..50737d84 100644 --- a/cibuildwheel/resources/nodejs.toml +++ b/cibuildwheel/resources/nodejs.toml @@ -1,3 +1,3 @@ url = "https://nodejs.org/dist/" v22 = "v22.11.0" -v20 = "v20.18.0" +v20 = "v20.18.1" diff --git a/cibuildwheel/resources/pinned_docker_images.cfg b/cibuildwheel/resources/pinned_docker_images.cfg index 75b03191..063b5b54 100644 --- a/cibuildwheel/resources/pinned_docker_images.cfg +++ b/cibuildwheel/resources/pinned_docker_images.cfg @@ -1,58 +1,58 @@ [x86_64] manylinux1 = quay.io/pypa/manylinux1_x86_64:2024-04-29-76807b8 manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-08-05-4535177 -manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.11.16-1 +manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.11.24-1 manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-12-26-0d38463 -manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.11.16-1 +manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.11.24-1 musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2024.10.26-1 -musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2024.11.16-1 +musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2024.11.24-1 [i686] manylinux1 = quay.io/pypa/manylinux1_i686:2024-04-29-76807b8 manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-08-05-4535177 -manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.11.16-1 +manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.11.24-1 manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-12-26-0d38463 musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2024.10.26-1 -musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2024.11.16-1 +musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2024.11.24-1 [pypy_x86_64] manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-08-05-4535177 -manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.11.16-1 +manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.11.24-1 manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-12-26-0d38463 -manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.11.16-1 +manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.11.24-1 [pypy_i686] manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-08-05-4535177 -manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.11.16-1 +manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.11.24-1 manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-12-26-0d38463 [aarch64] -manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.11.16-1 +manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.11.24-1 manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-12-26-0d38463 -manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.11.16-1 +manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.11.24-1 musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2024.10.26-1 -musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2024.11.16-1 +musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2024.11.24-1 [ppc64le] -manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2024.11.16-1 +manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2024.11.24-1 manylinux_2_24 = quay.io/pypa/manylinux_2_24_ppc64le:2022-12-26-0d38463 -manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2024.11.16-1 +manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2024.11.24-1 musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2024.10.26-1 -musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2024.11.16-1 +musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2024.11.24-1 [s390x] -manylinux2014 = quay.io/pypa/manylinux2014_s390x:2024.11.16-1 +manylinux2014 = quay.io/pypa/manylinux2014_s390x:2024.11.24-1 manylinux_2_24 = quay.io/pypa/manylinux_2_24_s390x:2022-12-26-0d38463 -manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2024.11.16-1 +manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2024.11.24-1 musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2024.10.26-1 -musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2024.11.16-1 +musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2024.11.24-1 [pypy_aarch64] -manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.11.16-1 +manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.11.24-1 manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-12-26-0d38463 -manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.11.16-1 +manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.11.24-1 [armv7l] -manylinux_2_31 = ghcr.io/mayeut/manylinux_2_31:2024.11.16-1 -musllinux_1_2 = quay.io/pypa/musllinux_1_2_armv7l:2024.11.16-1 +manylinux_2_31 = ghcr.io/mayeut/manylinux_2_31:2024.11.24-1 +musllinux_1_2 = quay.io/pypa/musllinux_1_2_armv7l:2024.11.24-1 diff --git a/docs/working-examples.md b/docs/working-examples.md index becc363b..885b60fe 100644 --- a/docs/working-examples.md +++ b/docs/working-examples.md @@ -15,8 +15,8 @@ title: Working examples | [Tornado][] | ![github icon][] | ![linux icon][] ![apple icon][] ![windows icon][] | Tornado is a Python web framework and asynchronous networking library. Uses stable ABI for a small C extension. | | [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform | | [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions | -| [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | | [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. | +| [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | | [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS | | [Triton][] | ![github icon][] | ![linux icon][] | Self hosted runners | | [MemRay][] | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python | @@ -97,8 +97,8 @@ title: Working examples | [pybase64][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast Base64 encoding/decoding in Python | | [Python-WebRTC][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 | | [Confluent client for Kafka][] | ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | setup in `tools/wheels/build-wheels.bat` | -| [Imagecodecs (fork)][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] | Over 20 external dependencies in compiled libraries, custom docker image, `libomp`, `openblas` and `install_name_tool` for macOS. | | [fathon][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | python package for DFA (Detrended Fluctuation Analysis) and related algorithms | +| [Imagecodecs (fork)][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] | Over 20 external dependencies in compiled libraries, custom docker image, `libomp`, `openblas` and `install_name_tool` for macOS. | | [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 | | [Arbor][] | ![github icon][] | ![apple icon][] ![linux icon][] | Arbor is a multi-compartment neuron simulation library; compatible with next-generation accelerators; best-practices applied to research software; focused on community-driven development. Includes a [small script](https://github.com/arbor-sim/arbor/blob/master/scripts/patchwheel.py) patching `rpath` in bundled libraries. | | [polaroid][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Full range of wheels for setuptools rust, with auto release and PyPI deploy. | @@ -125,8 +125,8 @@ title: Working examples [Tornado]: https://github.com/tornadoweb/tornado [NCNN]: https://github.com/Tencent/ncnn [Matplotlib]: https://github.com/matplotlib/matplotlib -[Prophet]: https://github.com/facebook/prophet [MyPy]: https://github.com/mypyc/mypy_mypyc-wheels +[Prophet]: https://github.com/facebook/prophet [Kivy]: https://github.com/kivy/kivy [Triton]: https://github.com/openai/triton [MemRay]: https://github.com/bloomberg/memray @@ -207,8 +207,8 @@ title: Working examples [pybase64]: https://github.com/mayeut/pybase64 [Python-WebRTC]: https://github.com/MarshalX/python-webrtc [Confluent client for Kafka]: https://github.com/confluentinc/confluent-kafka-python -[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build [fathon]: https://github.com/stfbnc/fathon +[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build [pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example [Arbor]: https://github.com/arbor-sim/arbor [polaroid]: https://github.com/daggy1234/polaroid