[Bot] Update dependencies (#1581)

Update dependencies Co-authored-by: cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
2023-08-21 17:24:01 -04:00
parent 25428deff2
commit 98b83afe63
9 changed files with 36 additions and 36 deletions
@@ -163,7 +163,7 @@ 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][]                       | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
+| [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. |
 | [Matplotlib][]                    | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
 | [NCNN][]                          | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
 | [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. |
@@ -24,5 +24,5 @@ wheel==0.41.1
 # The following packages are considered to be unsafe in a requirements file:
 pip==23.2.1
    # via -r cibuildwheel/resources/constraints.in
-setuptools==68.0.0
+setuptools==68.1.2
    # via -r cibuildwheel/resources/constraints.in
@@ -24,5 +24,5 @@ wheel==0.41.1
 # The following packages are considered to be unsafe in a requirements file:
 pip==23.2.1
    # via -r cibuildwheel/resources/constraints.in
-setuptools==68.0.0
+setuptools==68.1.2
    # via -r cibuildwheel/resources/constraints.in
@@ -24,5 +24,5 @@ wheel==0.41.1
 # The following packages are considered to be unsafe in a requirements file:
 pip==23.2.1
    # via -r cibuildwheel/resources/constraints.in
-setuptools==68.0.0
+setuptools==68.1.2
    # via -r cibuildwheel/resources/constraints.in
@@ -24,5 +24,5 @@ wheel==0.41.1
 # The following packages are considered to be unsafe in a requirements file:
 pip==23.2.1
    # via -r cibuildwheel/resources/constraints.in
-setuptools==68.0.0
+setuptools==68.1.2
    # via -r cibuildwheel/resources/constraints.in
@@ -24,5 +24,5 @@ wheel==0.41.1
 # The following packages are considered to be unsafe in a requirements file:
 pip==23.2.1
    # via -r cibuildwheel/resources/constraints.in
-setuptools==68.0.0
+setuptools==68.1.2
    # via -r cibuildwheel/resources/constraints.in
@@ -24,5 +24,5 @@ wheel==0.41.1
 # The following packages are considered to be unsafe in a requirements file:
 pip==23.2.1
    # via -r cibuildwheel/resources/constraints.in
-setuptools==68.0.0
+setuptools==68.1.2
    # via -r cibuildwheel/resources/constraints.in
@@ -1,54 +1,54 @@
 [x86_64]
-manylinux1 = quay.io/pypa/manylinux1_x86_64:2023-08-06-0a0ac62
+manylinux1 = quay.io/pypa/manylinux1_x86_64:2023-08-20-dcf13fc
 manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-08-05-4535177
-manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2023-08-13-d68f0ef
+manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2023-08-20-323dd42
 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_64:2023-08-13-d68f0ef
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2023-08-20-323dd42
-musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2023-08-13-d68f0ef
+musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2023-08-20-323dd42
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2023-08-13-d68f0ef
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2023-08-20-323dd42
 [i686]
-manylinux1 = quay.io/pypa/manylinux1_i686:2023-08-06-0a0ac62
+manylinux1 = quay.io/pypa/manylinux1_i686:2023-08-20-dcf13fc
 manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-08-05-4535177
-manylinux2014 = quay.io/pypa/manylinux2014_i686:2023-08-13-d68f0ef
+manylinux2014 = quay.io/pypa/manylinux2014_i686:2023-08-20-323dd42
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-12-26-0d38463
-musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2023-08-13-d68f0ef
+musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2023-08-20-323dd42
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2023-08-13-d68f0ef
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2023-08-20-323dd42
 [pypy_x86_64]
 manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-08-05-4535177
-manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2023-08-13-d68f0ef
+manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2023-08-20-323dd42
 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_64:2023-08-13-d68f0ef
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2023-08-20-323dd42
 [pypy_i686]
 manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-08-05-4535177
-manylinux2014 = quay.io/pypa/manylinux2014_i686:2023-08-13-d68f0ef
+manylinux2014 = quay.io/pypa/manylinux2014_i686:2023-08-20-323dd42
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-12-26-0d38463
 [aarch64]
-manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2023-08-13-d68f0ef
+manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2023-08-20-323dd42
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-12-26-0d38463
-manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2023-08-13-d68f0ef
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2023-08-20-323dd42
-musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2023-08-13-d68f0ef
+musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2023-08-20-323dd42
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2023-08-13-d68f0ef
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2023-08-20-323dd42
 [ppc64le]
-manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2023-08-13-d68f0ef
+manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2023-08-20-323dd42
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_ppc64le:2022-12-26-0d38463
-manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2023-08-13-d68f0ef
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2023-08-20-323dd42
-musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2023-08-13-d68f0ef
+musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2023-08-20-323dd42
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2023-08-13-d68f0ef
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2023-08-20-323dd42
 [s390x]
-manylinux2014 = quay.io/pypa/manylinux2014_s390x:2023-08-13-d68f0ef
+manylinux2014 = quay.io/pypa/manylinux2014_s390x:2023-08-20-323dd42
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_s390x:2022-12-26-0d38463
-manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2023-08-13-d68f0ef
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2023-08-20-323dd42
-musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2023-08-13-d68f0ef
+musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2023-08-20-323dd42
-musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2023-08-13-d68f0ef
+musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2023-08-20-323dd42
 [pypy_aarch64]
-manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2023-08-13-d68f0ef
+manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2023-08-20-323dd42
 manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-12-26-0d38463
-manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2023-08-13-d68f0ef
+manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2023-08-20-323dd42
@@ -11,7 +11,7 @@ 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][]                       | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
+| [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. |
 | [Matplotlib][]                    | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
 | [NCNN][]                          | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
 | [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. |
@@ -66,8 +66,8 @@ title: Working examples
 | [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 |
 | [Rtree][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Rtree: spatial index for Python GIS ¶ |
 | [mosec][]                         | ![github icon][] | ![linux icon][] ![apple icon][] | A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine |
 | [Rtree][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Rtree: spatial index for Python GIS ¶ |
 | [markupsafe][]                    | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Safely add untrusted strings to HTML/XML markup. |
 | [Picologging][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A high-performance logging library for Python. |
 | [pybind11 cmake_example][]        | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a CMake-based build system |
@@ -172,8 +172,8 @@ title: Working examples
 [DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest
 [AutoPy]: https://github.com/autopilot-rs/autopy
 [H3-py]: https://github.com/uber/h3-py
 [Rtree]: https://github.com/Toblerity/rtree
 [mosec]: https://github.com/mosecorg/mosec
 [Rtree]: https://github.com/Toblerity/rtree
 [markupsafe]: https://github.com/pallets/markupsafe
 [Picologging]: https://github.com/microsoft/picologging
 [pybind11 cmake_example]: https://github.com/pybind/cmake_example