[Bot] Update dependencies (#1976)
Update dependencies Co-authored-by: cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
This commit is contained in:
cibuildwheel-bot[bot]
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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
170e7aaeb9
commit
9abea5b73b
@@ -161,8 +161,8 @@ Here are some repos that use cibuildwheel.
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| [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. |
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| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
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| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
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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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| [duckdb][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an analytical in-process SQL database management system |
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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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@@ -172,8 +172,8 @@ Here are some repos that use cibuildwheel.
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[scikit-learn]: https://github.com/scikit-learn/scikit-learn
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[pytorch-fairseq]: https://github.com/facebookresearch/fairseq
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[NumPy]: https://github.com/numpy/numpy
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[Tornado]: https://github.com/tornadoweb/tornado
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[duckdb]: https://github.com/duckdb/duckdb
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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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@@ -95,7 +95,7 @@ sniffio==1.3.1
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# via
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# anyio
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# httpx
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typer==0.12.3
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typer==0.12.4
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# via
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# auditwheel-emscripten
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# pyodide-build
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@@ -107,7 +107,7 @@ typing-extensions==4.12.2
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# pydantic
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# pydantic-core
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# typer
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unearth==0.16.1
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unearth==0.17.0
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# via pyodide-build
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urllib3==2.2.2
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# via
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@@ -1,54 +1,54 @@
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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_64:2024.08.10-1
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manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.08.12-1
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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_64:2024.08.10-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2024.08.10-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2024.08.10-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.08.12-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2024.08.12-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2024.08.12-1
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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_i686:2024.08.10-1
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manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.08.12-1
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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_i686:2024.08.10-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2024.08.10-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2024.08.12-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2024.08.12-1
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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_64:2024.08.10-1
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manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2024.08.12-1
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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_64:2024.08.10-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2024.08.12-1
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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_i686:2024.08.10-1
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manylinux2014 = quay.io/pypa/manylinux2014_i686:2024.08.12-1
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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_aarch64:2024.08.10-1
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.08.12-1
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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_aarch64:2024.08.10-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2024.08.10-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2024.08.10-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.08.12-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2024.08.12-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2024.08.12-1
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[ppc64le]
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manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2024.08.10-1
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manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2024.08.12-1
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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:2024.08.10-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2024.08.10-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2024.08.10-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2024.08.12-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2024.08.12-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2024.08.12-1
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[s390x]
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manylinux2014 = quay.io/pypa/manylinux2014_s390x:2024.08.10-1
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manylinux2014 = quay.io/pypa/manylinux2014_s390x:2024.08.12-1
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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:2024.08.10-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2024.08.10-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2024.08.10-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2024.08.12-1
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2024.08.12-1
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2024.08.12-1
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[pypy_aarch64]
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.08.10-1
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2024.08.12-1
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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_aarch64:2024.08.10-1
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2024.08.12-1
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@@ -11,8 +11,8 @@ title: Working examples
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| [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. |
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| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
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| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
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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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| [duckdb][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an analytical in-process SQL database management system |
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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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@@ -61,8 +61,8 @@ title: Working examples
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| [ruptures][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Extensive Cython + NumPy [pyproject.toml](https://github.com/deepcharles/ruptures/blob/master/pyproject.toml) example. |
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| [OpenTimelineIO][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Open Source API and interchange format for editorial timeline information. |
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| [PyTables][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python package to manage extremely large amounts of data |
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| [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. |
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| [google neuroglancer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | WebGL-based viewer for volumetric data |
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| [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. |
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| [DeepForest][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1) |
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| [AutoPy][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
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| [H3-py][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for H3, a hierarchical hexagonal geospatial indexing system |
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@@ -121,8 +121,8 @@ title: Working examples
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[scikit-learn]: https://github.com/scikit-learn/scikit-learn
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[pytorch-fairseq]: https://github.com/facebookresearch/fairseq
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[NumPy]: https://github.com/numpy/numpy
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[Tornado]: https://github.com/tornadoweb/tornado
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[duckdb]: https://github.com/duckdb/duckdb
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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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@@ -171,8 +171,8 @@ title: Working examples
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[ruptures]: https://github.com/deepcharles/ruptures
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[OpenTimelineIO]: https://github.com/AcademySoftwareFoundation/OpenTimelineIO
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[PyTables]: https://github.com/PyTables/PyTables
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[Parselmouth]: https://github.com/YannickJadoul/Parselmouth
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[google neuroglancer]: https://github.com/google/neuroglancer
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[Parselmouth]: https://github.com/YannickJadoul/Parselmouth
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[DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest
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[AutoPy]: https://github.com/autopilot-rs/autopy
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[H3-py]: https://github.com/uber/h3-py
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