[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
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