[Bot] Update dependencies (#2096)
Update dependencies Co-authored-by: cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
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cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
parent
3a0db72c17
commit
6df11f0f28
@@ -168,8 +168,8 @@ Here are some repos that use cibuildwheel.
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| [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. |
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| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
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| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
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| [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. |
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| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. |
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| [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. |
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| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
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[scikit-learn]: https://github.com/scikit-learn/scikit-learn
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@@ -179,8 +179,8 @@ Here are some repos that use cibuildwheel.
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[Tornado]: https://github.com/tornadoweb/tornado
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[NCNN]: https://github.com/Tencent/ncnn
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[Matplotlib]: https://github.com/matplotlib/matplotlib
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[Prophet]: https://github.com/facebook/prophet
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[MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
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[Prophet]: https://github.com/facebook/prophet
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[Kivy]: https://github.com/kivy/kivy
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[appveyor icon]: docs/data/readme_icons/appveyor.svg
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@@ -19,7 +19,7 @@ charset-normalizer==3.4.0
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# via requests
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click==8.1.7
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# via typer
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cmake==3.31.0.1
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cmake==3.31.1
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# via pyodide-build
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distlib==0.3.9
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# via virtualenv
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@@ -52,11 +52,11 @@ pip==24.3.1
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# via -r .nox/update_constraints/tmp/constraints-pyodide.in
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platformdirs==4.3.6
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# via virtualenv
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pydantic==2.10.0
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pydantic==2.10.1
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# via
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# pyodide-build
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# pyodide-lock
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pydantic-core==2.27.0
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pydantic-core==2.27.1
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# via pydantic
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pygments==2.18.0
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# via rich
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@@ -107,7 +107,7 @@ virtualenv==20.27.1
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# via
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# build
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# pyodide-build
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wheel==0.45.0
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wheel==0.45.1
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# via
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# auditwheel-emscripten
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# pyodide-build
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@@ -1,3 +1,3 @@
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url = "https://nodejs.org/dist/"
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v22 = "v22.11.0"
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v20 = "v20.18.0"
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v20 = "v20.18.1"
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@@ -1,58 +1,58 @@
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[x86_64]
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manylinux1 = quay.io/pypa/manylinux1_x86_64:2024-04-29-76807b8
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manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-08-05-4535177
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manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.11.16-1
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manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.11.24-1
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.11.16-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.11.24-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2024.10.26-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2024.11.16-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2024.11.24-1
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[i686]
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manylinux1 = quay.io/pypa/manylinux1_i686:2024-04-29-76807b8
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manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-08-05-4535177
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manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.11.16-1
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manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.11.24-1
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-12-26-0d38463
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2024.10.26-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2024.11.16-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2024.11.24-1
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[pypy_x86_64]
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manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-08-05-4535177
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manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.11.16-1
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manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.11.24-1
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.11.16-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.11.24-1
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[pypy_i686]
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manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-08-05-4535177
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manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.11.16-1
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manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.11.24-1
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-12-26-0d38463
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[aarch64]
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.11.16-1
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.11.24-1
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.11.16-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.11.24-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2024.10.26-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2024.11.16-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2024.11.24-1
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[ppc64le]
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manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2024.11.16-1
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manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2024.11.24-1
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_ppc64le:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2024.11.16-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2024.11.24-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2024.10.26-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2024.11.16-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2024.11.24-1
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[s390x]
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manylinux2014 = quay.io/pypa/manylinux2014_s390x:2024.11.16-1
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manylinux2014 = quay.io/pypa/manylinux2014_s390x:2024.11.24-1
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_s390x:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2024.11.16-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2024.11.24-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2024.10.26-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2024.11.16-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2024.11.24-1
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[pypy_aarch64]
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.11.16-1
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.11.24-1
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.11.16-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.11.24-1
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[armv7l]
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manylinux_2_31 = ghcr.io/mayeut/manylinux_2_31:2024.11.16-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_armv7l:2024.11.16-1
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manylinux_2_31 = ghcr.io/mayeut/manylinux_2_31:2024.11.24-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_armv7l:2024.11.24-1
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@@ -15,8 +15,8 @@ title: Working examples
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| [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. |
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| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
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| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
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| [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. |
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| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. |
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| [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. |
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| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
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| [Triton][] | ![github icon][] | ![linux icon][] | Self hosted runners |
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| [MemRay][] | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python |
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@@ -97,8 +97,8 @@ title: Working examples
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| [pybase64][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast Base64 encoding/decoding in Python |
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| [Python-WebRTC][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 |
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| [Confluent client for Kafka][] | ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | setup in `tools/wheels/build-wheels.bat` |
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| [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. |
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| [fathon][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | python package for DFA (Detrended Fluctuation Analysis) and related algorithms |
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| [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. |
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| [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 |
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| [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. |
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| [polaroid][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Full range of wheels for setuptools rust, with auto release and PyPI deploy. |
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@@ -125,8 +125,8 @@ title: Working examples
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[Tornado]: https://github.com/tornadoweb/tornado
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[NCNN]: https://github.com/Tencent/ncnn
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[Matplotlib]: https://github.com/matplotlib/matplotlib
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[Prophet]: https://github.com/facebook/prophet
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[MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
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[Prophet]: https://github.com/facebook/prophet
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[Kivy]: https://github.com/kivy/kivy
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[Triton]: https://github.com/openai/triton
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[MemRay]: https://github.com/bloomberg/memray
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@@ -207,8 +207,8 @@ title: Working examples
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[pybase64]: https://github.com/mayeut/pybase64
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[Python-WebRTC]: https://github.com/MarshalX/python-webrtc
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[Confluent client for Kafka]: https://github.com/confluentinc/confluent-kafka-python
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[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build
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[fathon]: https://github.com/stfbnc/fathon
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[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build
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[pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example
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[Arbor]: https://github.com/arbor-sim/arbor
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[polaroid]: https://github.com/daggy1234/polaroid
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