[Bot] Update dependencies (#1976)

Update dependencies

Co-authored-by: cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>

README.md

@@ -161,8 +161,8 @@ Here are some repos that use cibuildwheel.
 | [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.  |
 | [pytorch-fairseq][]               | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
 | [NumPy][]                         | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
-| [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. |
 | [duckdb][]                        | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an analytical in-process SQL database management system |
+| [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. |
@@ -172,8 +172,8 @@ Here are some repos that use cibuildwheel.
 [scikit-learn]: https://github.com/scikit-learn/scikit-learn
 [pytorch-fairseq]: https://github.com/facebookresearch/fairseq
 [NumPy]: https://github.com/numpy/numpy
-[Tornado]: https://github.com/tornadoweb/tornado
 [duckdb]: https://github.com/duckdb/duckdb
+[Tornado]: https://github.com/tornadoweb/tornado
 [NCNN]: https://github.com/Tencent/ncnn
 [Matplotlib]: https://github.com/matplotlib/matplotlib
 [Prophet]: https://github.com/facebook/prophet

cibuildwheel/resources/constraints-pyodide312.txt

@@ -95,7 +95,7 @@ sniffio==1.3.1
     # via
     #   anyio
     #   httpx
-typer==0.12.3
+typer==0.12.4
     # via
     #   auditwheel-emscripten
     #   pyodide-build
@@ -107,7 +107,7 @@ typing-extensions==4.12.2
     #   pydantic
     #   pydantic-core
     #   typer
-unearth==0.16.1
+unearth==0.17.0
     # via pyodide-build
 urllib3==2.2.2
     # via

cibuildwheel/resources/pinned_docker_images.cfg

@@ -1,54 +1,54 @@
 [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_64:2024.08.10-1
+manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.08.12-1
 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_64:2024.08.10-1
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.08.12-1
-musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2024.08.10-1
+musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2024.08.12-1
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2024.08.10-1
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2024.08.12-1
 
 [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_i686:2024.08.10-1
+manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.08.12-1
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-12-26-0d38463
-musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2024.08.10-1
+musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2024.08.12-1
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2024.08.10-1
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2024.08.12-1
 
 [pypy_x86_64]
 manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-08-05-4535177
-manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.08.10-1
+manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.08.12-1
 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_64:2024.08.10-1
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.08.12-1
 
 [pypy_i686]
 manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-08-05-4535177
-manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.08.10-1
+manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.08.12-1
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-12-26-0d38463
 
 [aarch64]
-manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.08.10-1
+manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.08.12-1
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-12-26-0d38463
-manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.08.10-1
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.08.12-1
-musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2024.08.10-1
+musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2024.08.12-1
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2024.08.10-1
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2024.08.12-1
 
 [ppc64le]
-manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2024.08.10-1
+manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2024.08.12-1
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_ppc64le:2022-12-26-0d38463
-manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2024.08.10-1
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2024.08.12-1
-musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2024.08.10-1
+musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2024.08.12-1
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2024.08.10-1
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2024.08.12-1
 
 [s390x]
-manylinux2014 = quay.io/pypa/manylinux2014_s390x:2024.08.10-1
+manylinux2014 = quay.io/pypa/manylinux2014_s390x:2024.08.12-1
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_s390x:2022-12-26-0d38463
-manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2024.08.10-1
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2024.08.12-1
-musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2024.08.10-1
+musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2024.08.12-1
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2024.08.10-1
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2024.08.12-1
 
 [pypy_aarch64]
-manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.08.10-1
+manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.08.12-1
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-12-26-0d38463
-manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.08.10-1
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.08.12-1
 

docs/working-examples.md

@@ -11,8 +11,8 @@ title: Working examples
 | [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.  |
 | [pytorch-fairseq][]               | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
 | [NumPy][]                         | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
-| [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. |
 | [duckdb][]                        | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an analytical in-process SQL database management system |
+| [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. |
@@ -61,8 +61,8 @@ title: Working examples
 | [ruptures][]                      | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Extensive Cython + NumPy [pyproject.toml](https://github.com/deepcharles/ruptures/blob/master/pyproject.toml) example. |
 | [OpenTimelineIO][]                | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Open Source API and interchange format for editorial timeline information. |
 | [PyTables][]                      | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python package to manage extremely large amounts of data |
-| [Parselmouth][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python interface to the Praat software package, using pybind11, C++17 and CMake, with the core Praat static library built only once and shared between wheels. |
 | [google neuroglancer][]           | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | WebGL-based viewer for volumetric data |
+| [Parselmouth][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python interface to the Praat software package, using pybind11, C++17 and CMake, with the core Praat static library built only once and shared between wheels. |
 | [DeepForest][]                    | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1) |
 | [AutoPy][]                        | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
 | [H3-py][]                         | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for H3, a hierarchical hexagonal geospatial indexing system |
@@ -121,8 +121,8 @@ title: Working examples
 [scikit-learn]: https://github.com/scikit-learn/scikit-learn
 [pytorch-fairseq]: https://github.com/facebookresearch/fairseq
 [NumPy]: https://github.com/numpy/numpy
-[Tornado]: https://github.com/tornadoweb/tornado
 [duckdb]: https://github.com/duckdb/duckdb
+[Tornado]: https://github.com/tornadoweb/tornado
 [NCNN]: https://github.com/Tencent/ncnn
 [Matplotlib]: https://github.com/matplotlib/matplotlib
 [Prophet]: https://github.com/facebook/prophet
@@ -171,8 +171,8 @@ title: Working examples
 [ruptures]: https://github.com/deepcharles/ruptures
 [OpenTimelineIO]: https://github.com/AcademySoftwareFoundation/OpenTimelineIO
 [PyTables]: https://github.com/PyTables/PyTables
-[Parselmouth]: https://github.com/YannickJadoul/Parselmouth
 [google neuroglancer]: https://github.com/google/neuroglancer
+[Parselmouth]: https://github.com/YannickJadoul/Parselmouth
 [DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest
 [AutoPy]: https://github.com/autopilot-rs/autopy
 [H3-py]: https://github.com/uber/h3-py