[Bot] Update dependencies (#1119)

Update dependencies

Co-authored-by: cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
This commit is contained in:
cibuildwheel-bot[bot]
2022-06-06 15:53:13 +02:00
committed by GitHub
co-authored by cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
parent c5c1766614
commit a440ab3655
10 changed files with 158 additions and 158 deletions
+4 -4
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@@ -152,23 +152,23 @@ Here are some repos that use cibuildwheel.
| Name | CI | OS | Notes |
|-----------------------------------|----|----|:------|
| [scikit-learn][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The machine learning library. A complex but clean config using many of cibuildwheel's features to build a large project with Cython and C++ extensions. |
| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
| [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. |
| [pydantic][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints |
[scikit-learn]: https://github.com/scikit-learn/scikit-learn
[Tornado]: https://github.com/tornadoweb/tornado
[NumPy]: https://github.com/numpy/numpy
[Tornado]: https://github.com/tornadoweb/tornado
[pytorch-fairseq]: https://github.com/pytorch/fairseq
[Matplotlib]: https://github.com/matplotlib/matplotlib
[Kivy]: https://github.com/kivy/kivy
[NCNN]: https://github.com/Tencent/ncnn
[Kivy]: https://github.com/kivy/kivy
[Prophet]: https://github.com/facebook/prophet
[MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
[pydantic]: https://github.com/samuelcolvin/pydantic
+6 -6
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@@ -84,9 +84,9 @@ python_configurations = [
{ identifier = "cp310-macosx_x86_64", version = "3.10", url = "https://www.python.org/ftp/python/3.10.4/python-3.10.4-macos11.pkg" },
{ identifier = "cp310-macosx_arm64", version = "3.10", url = "https://www.python.org/ftp/python/3.10.4/python-3.10.4-macos11.pkg" },
{ identifier = "cp310-macosx_universal2", version = "3.10", url = "https://www.python.org/ftp/python/3.10.4/python-3.10.4-macos11.pkg" },
{ identifier = "cp311-macosx_x86_64", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b1-macos11.pkg" },
{ identifier = "cp311-macosx_arm64", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b1-macos11.pkg" },
{ identifier = "cp311-macosx_universal2", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b1-macos11.pkg" },
{ identifier = "cp311-macosx_x86_64", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b3-macos11.pkg" },
{ identifier = "cp311-macosx_arm64", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b3-macos11.pkg" },
{ identifier = "cp311-macosx_universal2", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b3-macos11.pkg" },
{ identifier = "pp37-macosx_x86_64", version = "3.7", url = "https://downloads.python.org/pypy/pypy3.7-v7.3.9-osx64.tar.bz2" },
{ identifier = "pp38-macosx_x86_64", version = "3.8", url = "https://downloads.python.org/pypy/pypy3.8-v7.3.9-osx64.tar.bz2" },
{ identifier = "pp39-macosx_x86_64", version = "3.9", url = "https://downloads.python.org/pypy/pypy3.9-v7.3.9-osx64.tar.bz2" },
@@ -104,11 +104,11 @@ python_configurations = [
{ identifier = "cp39-win_amd64", version = "3.9.13", arch = "64" },
{ identifier = "cp310-win32", version = "3.10.4", arch = "32" },
{ identifier = "cp310-win_amd64", version = "3.10.4", arch = "64" },
{ identifier = "cp311-win32", version = "3.11.0-b1", arch = "32" },
{ identifier = "cp311-win_amd64", version = "3.11.0-b1", arch = "64" },
{ identifier = "cp311-win32", version = "3.11.0-b3", arch = "32" },
{ identifier = "cp311-win_amd64", version = "3.11.0-b3", arch = "64" },
{ identifier = "cp39-win_arm64", version = "3.9.10", arch = "ARM64" },
{ identifier = "cp310-win_arm64", version = "3.10.4", arch = "ARM64" },
{ identifier = "cp311-win_arm64", version = "3.11.0-b1", arch = "ARM64" },
{ identifier = "cp311-win_arm64", version = "3.11.0-b3", arch = "ARM64" },
{ identifier = "pp37-win_amd64", version = "3.7", arch = "64", url = "https://downloads.python.org/pypy/pypy3.7-v7.3.9-win64.zip" },
{ identifier = "pp38-win_amd64", version = "3.8", arch = "64", url = "https://downloads.python.org/pypy/pypy3.8-v7.3.9-win64.zip" },
{ identifier = "pp39-win_amd64", version = "3.9", arch = "64", url = "https://downloads.python.org/pypy/pypy3.9-v7.3.9-win64.zip" },
@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in
distlib==0.3.4
# via virtualenv
filelock==3.7.0
filelock==3.7.1
# via virtualenv
platformdirs==2.5.2
# via virtualenv
@@ -24,7 +24,7 @@ wheel==0.37.1
# delocate
# The following packages are considered to be unsafe in a requirements file:
pip==22.1.1
pip==22.1.2
# via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in
@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in
distlib==0.3.4
# via virtualenv
filelock==3.7.0
filelock==3.7.1
# via virtualenv
platformdirs==2.5.2
# via virtualenv
@@ -24,7 +24,7 @@ wheel==0.37.1
# delocate
# The following packages are considered to be unsafe in a requirements file:
pip==22.1.1
pip==22.1.2
# via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in
@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in
distlib==0.3.4
# via virtualenv
filelock==3.7.0
filelock==3.7.1
# via virtualenv
importlib-metadata==4.11.4
# via virtualenv
@@ -30,7 +30,7 @@ zipp==3.8.0
# via importlib-metadata
# The following packages are considered to be unsafe in a requirements file:
pip==22.1.1
pip==22.1.2
# via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in
@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in
distlib==0.3.4
# via virtualenv
filelock==3.7.0
filelock==3.7.1
# via virtualenv
platformdirs==2.5.2
# via virtualenv
@@ -24,7 +24,7 @@ wheel==0.37.1
# delocate
# The following packages are considered to be unsafe in a requirements file:
pip==22.1.1
pip==22.1.2
# via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in
@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in
distlib==0.3.4
# via virtualenv
filelock==3.7.0
filelock==3.7.1
# via virtualenv
platformdirs==2.5.2
# via virtualenv
@@ -24,7 +24,7 @@ wheel==0.37.1
# delocate
# The following packages are considered to be unsafe in a requirements file:
pip==22.1.1
pip==22.1.2
# via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in
+2 -2
View File
@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in
distlib==0.3.4
# via virtualenv
filelock==3.7.0
filelock==3.7.1
# via virtualenv
platformdirs==2.5.2
# via virtualenv
@@ -24,7 +24,7 @@ wheel==0.37.1
# delocate
# The following packages are considered to be unsafe in a requirements file:
pip==22.1.1
pip==22.1.2
# via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in
+27 -27
View File
@@ -1,43 +1,43 @@
[x86_64]
manylinux1 = quay.io/pypa/manylinux1_x86_64:2022-05-22-74adb27
manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-05-22-fbe07ea
manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2022-05-22-fbe07ea
manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-05-22-fbe07ea
musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2022-05-22-fbe07ea
manylinux1 = quay.io/pypa/manylinux1_x86_64:2022-06-05-89b8e6d
manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-06-05-61145a4
manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-06-05-61145a4
musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2022-06-05-61145a4
[i686]
manylinux1 = quay.io/pypa/manylinux1_i686:2022-05-22-74adb27
manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-05-22-fbe07ea
manylinux2014 = quay.io/pypa/manylinux2014_i686:2022-05-22-fbe07ea
manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-05-22-fbe07ea
musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2022-05-22-fbe07ea
manylinux1 = quay.io/pypa/manylinux1_i686:2022-06-05-89b8e6d
manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-06-05-61145a4
manylinux2014 = quay.io/pypa/manylinux2014_i686:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-06-05-61145a4
musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2022-06-05-61145a4
[pypy_x86_64]
manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-05-22-fbe07ea
manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2022-05-22-fbe07ea
manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-05-22-fbe07ea
manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-06-05-61145a4
manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-06-05-61145a4
[pypy_i686]
manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-05-22-fbe07ea
manylinux2014 = quay.io/pypa/manylinux2014_i686:2022-05-22-fbe07ea
manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-05-22-fbe07ea
manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-06-05-61145a4
manylinux2014 = quay.io/pypa/manylinux2014_i686:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-06-05-61145a4
[aarch64]
manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2022-05-22-fbe07ea
manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-05-22-fbe07ea
musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2022-05-22-fbe07ea
manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-06-05-61145a4
musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2022-06-05-61145a4
[ppc64le]
manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2022-05-22-fbe07ea
manylinux_2_24 = quay.io/pypa/manylinux_2_24_ppc64le:2022-05-22-fbe07ea
musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2022-05-22-fbe07ea
manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_ppc64le:2022-06-05-61145a4
musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2022-06-05-61145a4
[s390x]
manylinux2014 = quay.io/pypa/manylinux2014_s390x:2022-05-22-fbe07ea
manylinux_2_24 = quay.io/pypa/manylinux_2_24_s390x:2022-05-22-fbe07ea
musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2022-05-22-fbe07ea
manylinux2014 = quay.io/pypa/manylinux2014_s390x:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_s390x:2022-06-05-61145a4
musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2022-06-05-61145a4
[pypy_aarch64]
manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2022-05-22-fbe07ea
manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-05-22-fbe07ea
manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-06-05-61145a4
+109 -109
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@@ -9,18 +9,18 @@ title: Working examples
| Name | CI | OS | Notes |
|-----------------------------------|----|----|:------|
| [scikit-learn][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The machine learning library. A complex but clean config using many of cibuildwheel's features to build a large project with Cython and C++ extensions. |
| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
| [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. |
| [pydantic][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints |
| [uvloop][] | ![github icon][] | ![apple icon][] ![linux icon][] | Ultra fast asyncio event loop. |
| [psutil][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Cross-platform lib for process and system monitoring in Python |
| [MemRay][] | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python |
| [psutil][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Cross-platform lib for process and system monitoring in Python |
| [vaex][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀 |
| [Google Benchmark][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A microbenchmark support library |
| [Apache Beam][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Apache Beam is a unified programming model for Batch and Streaming data processing. |
@@ -84,8 +84,8 @@ title: Working examples
| [iminuit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Jupyter-friendly Python interface for C++ MINUIT2 |
| [Tokenizer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast and customizable text tokenization library with BPE and SentencePiece support |
| [PyGLM][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Fast OpenGL Mathematics (GLM) for Python |
| [bx-python][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | A library that includes Cython extensions. |
| [boost-histogram][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Supports full range of wheels, including PyPy and alternate archs. |
| [bx-python][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | A library that includes Cython extensions. |
| [iDynTree][] | ![github icon][] | ![linux icon][] | Uses manylinux_2_24 |
| [TgCrypto][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
| [Python-WebRTC][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 |
@@ -96,12 +96,12 @@ title: Working examples
| [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. |
| [polaroid][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Full range of wheels for setuptools rust, with auto release and PyPI deploy. |
| [clang-format][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Scikit-build wrapper around LLVM's CMake, all platforms, generic wheels. |
| [power-grid-model][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
| [pyjet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The interface between FastJet and NumPy |
| [numpythia][] | ![github icon][] | ![apple icon][] ![linux icon][] | The interface between PYTHIA and NumPy |
| [power-grid-model][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
| [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 |
| [ninja][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
| [pillow-heif][] | ![github icon][] | ![apple icon][] ![linux icon][] | Python CFFI binding to libheif library with third party dependencies like `libde265`, `x265`, `libaom` with test & publishing on PyPi. |
| [ninja][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
| [GSD][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Cython and NumPy project with 64-bit wheels. |
| [pyinstrument_cext][] | ![travisci icon][] ![appveyor icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A simple C extension, without external dependencies |
| [xmlstarlet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python 3.6+ CFFI bindings with true MSVC build. |
@@ -109,18 +109,18 @@ title: Working examples
| [SiPM][] | ![github icon][] | ![apple icon][] ![linux icon][] | High performance library for SiPM detectors simulation using C++17, OpenMP and AVX2 intrinsics. |
[scikit-learn]: https://github.com/scikit-learn/scikit-learn
[Tornado]: https://github.com/tornadoweb/tornado
[NumPy]: https://github.com/numpy/numpy
[Tornado]: https://github.com/tornadoweb/tornado
[pytorch-fairseq]: https://github.com/pytorch/fairseq
[Matplotlib]: https://github.com/matplotlib/matplotlib
[Kivy]: https://github.com/kivy/kivy
[NCNN]: https://github.com/Tencent/ncnn
[Kivy]: https://github.com/kivy/kivy
[Prophet]: https://github.com/facebook/prophet
[MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
[pydantic]: https://github.com/samuelcolvin/pydantic
[uvloop]: https://github.com/MagicStack/uvloop
[psutil]: https://github.com/giampaolo/psutil
[MemRay]: https://github.com/bloomberg/memray
[psutil]: https://github.com/giampaolo/psutil
[vaex]: https://github.com/vaexio/vaex
[Google Benchmark]: https://github.com/google/benchmark
[Apache Beam]: https://github.com/apache/beam
@@ -184,8 +184,8 @@ title: Working examples
[iminuit]: https://github.com/scikit-hep/iminuit
[Tokenizer]: https://github.com/OpenNMT/Tokenizer
[PyGLM]: https://github.com/Zuzu-Typ/PyGLM
[bx-python]: https://github.com/bxlab/bx-python
[boost-histogram]: https://github.com/scikit-hep/boost-histogram
[bx-python]: https://github.com/bxlab/bx-python
[iDynTree]: https://github.com/robotology/idyntree
[TgCrypto]: https://github.com/pyrogram/tgcrypto
[Python-WebRTC]: https://github.com/MarshalX/python-webrtc
@@ -196,12 +196,12 @@ title: Working examples
[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build
[polaroid]: https://github.com/daggy1234/polaroid
[clang-format]: https://github.com/ssciwr/clang-format-wheel
[power-grid-model]: https://github.com/alliander-opensource/power-grid-model
[pyjet]: https://github.com/scikit-hep/pyjet
[numpythia]: https://github.com/scikit-hep/numpythia
[power-grid-model]: https://github.com/alliander-opensource/power-grid-model
[pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example
[ninja]: https://github.com/scikit-build/ninja-python-distributions
[pillow-heif]: https://github.com/bigcat88/pillow_heif
[ninja]: https://github.com/scikit-build/ninja-python-distributions
[GSD]: https://github.com/glotzerlab/gsd
[pyinstrument_cext]: https://github.com/joerick/pyinstrument_cext
[xmlstarlet]: https://github.com/dimitern/xmlstarlet
@@ -218,105 +218,105 @@ title: Working examples
[apple icon]: data/readme_icons/apple.svg
[linux icon]: data/readme_icons/linux.svg
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<!-- PyGLM: 139, last pushed 55 days ago -->
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<!-- TgCrypto: 104, last pushed 79 days ago -->
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<!-- coverage.py: 2061, last pushed 0 days ago -->
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<!-- numexpr: 1759, last pushed 11 days ago -->
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<!-- DeepForest: 762, last pushed 22 days ago -->
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<!-- Psycopg 3: 690, last pushed 0 days ago -->
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<!-- time-machine: 303, last pushed 1 days ago -->
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<!-- PyGLM: 142, last pushed 69 days ago -->
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<!-- TgCrypto: 104, last pushed 93 days ago -->
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<!-- Arbor: 72, last pushed 2 days ago -->
<!-- fathon: 59, last pushed 186 days ago -->
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<!-- polaroid: 38, last pushed 11 days ago -->
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<!-- pyjet: 33, last pushed 19 days ago -->
<!-- numpythia: 33, last pushed 20 days ago -->
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<!-- fathon: 61, last pushed 3 days ago -->
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<!-- polaroid: 40, last pushed 25 days ago -->
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