[Bot] Update dependencies (#2096)

Update dependencies Co-authored-by: cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
2024-11-25 21:10:24 +01:00
parent 3a0db72c17
commit 6df11f0f28
5 changed files with 32 additions and 32 deletions
@@ -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
@@ -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
@@ -1,3 +1,3 @@
 url = "https://nodejs.org/dist/"
 v22 = "v22.11.0"
-v20 = "v20.18.0"
+v20 = "v20.18.1"
@@ -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
+manylinux_2_31 = ghcr.io/mayeut/manylinux_2_31:2024.11.24-1
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_armv7l:2024.11.16-1
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_armv7l:2024.11.24-1
@@ -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