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[Bot] Update dependencies (#1976)
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Update dependencies

Co-authored-by: cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
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cibuildwheel-bot[bot] committed Aug 19, 2024
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -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. |
Expand All @@ -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
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4 changes: 2 additions & 2 deletions cibuildwheel/resources/constraints-pyodide312.txt
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Expand Up @@ -95,7 +95,7 @@ sniffio==1.3.1
# via
# anyio
# httpx
typer==0.12.3
typer==0.12.4
# via
# auditwheel-emscripten
# pyodide-build
Expand All @@ -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
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48 changes: 24 additions & 24 deletions cibuildwheel/resources/pinned_docker_images.cfg
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@@ -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
musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2024.08.10-1
musllinux_1_2 = quay.io/pypa/musllinux_1_2_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_64:2024.08.12-1
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_2 = quay.io/pypa/musllinux_1_2_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_i686:2024.08.12-1

[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
musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2024.08.10-1
musllinux_1_2 = quay.io/pypa/musllinux_1_2_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_aarch64:2024.08.12-1
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
musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2024.08.10-1
musllinux_1_2 = quay.io/pypa/musllinux_1_2_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:2024.08.12-1
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
musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2024.08.10-1
musllinux_1_2 = quay.io/pypa/musllinux_1_2_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:2024.08.12-1
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

8 changes: 4 additions & 4 deletions docs/working-examples.md
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Expand Up @@ -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. |
Expand Down Expand Up @@ -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 |
Expand Down Expand Up @@ -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
Expand Down Expand Up @@ -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
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