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chore(deps): bump the project-api-exec-dependencies group across 1 directory with 4 updates #37

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Bumps the project-api-exec-dependencies group with 4 updates in the /apps/project-api directory: numpy, pandas, pyjnius and onnxruntime.

Updates numpy from 1.24.2 to 2.0.0

Release notes

Sourced from numpy's releases.

v2.0.0

NumPy 2.0.0 Release Notes

NumPy 2.0.0 is the first major release since 2006. It is the result of 11 months of development since the last feature release and is the work of 212 contributors spread over 1078 pull requests. It contains a large number of exciting new features as well as changes to both the Python and C APIs.

This major release includes breaking changes that could not happen in a regular minor (feature) release - including an ABI break, changes to type promotion rules, and API changes which may not have been emitting deprecation warnings in 1.26.x. Key documents related to how to adapt to changes in NumPy 2.0, in addition to these release notes, include:

Highlights

Highlights of this release include:

  • New features:
    • A new variable-length string dtype, numpy.dtypes.StringDType and a new numpy.strings namespace with performant ufuncs for string operations,
    • Support for float32 and longdouble in all numpy.fft functions,
    • Support for the array API standard in the main numpy namespace.
  • Performance improvements:
    • Sorting functions sort, argsort, partition, argpartition have been accelerated through the use of the Intel x86-simd-sort and Google Highway libraries, and may see large (hardware-specific) speedups,
    • macOS Accelerate support and binary wheels for macOS >=14, with significant performance improvements for linear algebra operations on macOS, and wheels that are about 3 times smaller,
    • numpy.char fixed-length string operations have been accelerated by implementing ufuncs that also support numpy.dtypes.StringDType in addition to the fixed-length string dtypes,
    • A new tracing and introspection API, numpy.lib.introspect.opt_func_info, to determine which hardware-specific kernels are available and will be dispatched to.
    • numpy.save now uses pickle protocol version 4 for saving arrays with object dtype, which allows for pickle objects larger than 4GB and improves saving speed by about 5% for large arrays.
  • Python API improvements:

... (truncated)

Commits
  • 1d49c7f Merge pull request #26698 from charris/prepare-2.0.0
  • 2103511 DOC: Remove duplicate in author list.
  • db8030e BUG: Change cibuildwheel version [wheel build]
  • 1a68264 REL: Prepare for the NumPy 2.0.0 release [wheel build]
  • c8665ba Merge pull request #26696 from charris/backport-26582
  • 103f4dd Merge pull request #26697 from charris/backport-25963
  • c193dcd Merge pull request #26695 from charris/backport-26667
  • 8fa8191 BUG: Fix bug in numpy.pad() (#25963)
  • ece3559 BUG: weighted nanpercentile, nanquantile and multi-dim q (#26582)
  • b31e195 BUG: Adds asanyarray to start of linalg.cross (#26667)
  • Additional commits viewable in compare view

Updates pandas from 1.5.3 to 2.2.2

Release notes

Sourced from pandas's releases.

Pandas 2.2.2

We are pleased to announce the release of pandas 2.2.2. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.2 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

Pandas 2.2.1

We are pleased to announce the release of pandas 2.2.1. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.1 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

Pandas 2.2.0

We are pleased to announce the release of pandas 2.2.0. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.0 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

... (truncated)

Commits

Updates pyjnius from 1.4.2 to 1.6.1

Release notes

Sourced from pyjnius's releases.

1.6.1

What's Changed

New Contributors

Full Changelog: kivy/pyjnius@1.6.0...1.6.1

1.6.1-test

No release notes provided.

1.6.0

Highlights

  • Introduced protocol_map for `Map$Entry``
  • Now both Cython>=3 and Cython < 3 are supported and can be used to build pyjnius
  • Added support for Java 20 (and removed support for Java 7, which reached EOL)
  • Added support for Python 3.12 (pre-built wheels are now available)

This is likely the last release to support Python 3.7 and that ships with 32 bit pre-built wheels for Windows, please consider upgrading your environments.

What's Changed

Full Changelog: kivy/pyjnius@1.5.0...1.6.0

1.5.0

1.5.0 (2023-05-10)

Full Changelog

Implemented enhancements:

  • #633 Add BSD Unix build support (FreeBSD, OpenBSD, NetBSD, ..)

... (truncated)

Changelog

Sourced from pyjnius's changelog.

1.6.1 (2023-11-05)

Full Changelog

Implemented enhancements:

  • #684 Add (now mandatory) .readthedocs.yaml file, add docs extras and update sphinx conf
  • #691 Cleanup some Java code in NativeInvocationHandler.java
  • #692 Skip getting version from Cython on Android. Instead add ANDROID_PYJNUS_CYTHON_3 env var
  • #693 Use the release/v1 tag for pypa/gh-action-pypi-publish, as master is deprecated

1.6.0 (2023-10-07)

Full Changelog

Implemented enhancements:

  • #659 introduce protocol_map for Map$Entry
  • #669 Support both Cython >3 and Cython < 3
  • #672 Support Java 20, remove Java 7 support
  • #673 Remove pkg_resources for Python >=3.9
  • #681 Add missing Python supported version label for Python 3.12

Packaging

  • #680 Update cibuildwheel to perform build for Python 3.12

CI

  • #676 Ensure we test the produced wheel, and not the one from the index
  • #678 Add tests for python 3.12
  • #677 Now Github Actions provides python3 via setup-python also for Apple Silicon Macs
  • #679 Add tests on push for Apple Silicon
  • #682 Build stdist needs Cython to perform the build

1.5.0 (2023-05-10)

Full Changelog

Implemented enhancements:

  • #633 Add BSD Unix build support (FreeBSD, OpenBSD, NetBSD, ..)
  • #643 Initialize logger as a child of the Kivy's one
  • #657 Add support request automation (as other kivy projects)
  • #656 Add support for Python 3.11

Cleanup

  • #619 Remove Python 2 support, six dependency
  • #641 Removes some Python2-era complexity
  • #654 Remove Python 3.6 from supported and test matrix, as it reached EOL

CI

  • #655 Linux x86 tests force as safe directory

Packaging

  • #653 Build (and test) manylinux-aarch64 wheels via our kivy-ubuntu-arm64 self-hosted runner
Commits
  • 3c7acc8 Update CHANGELOG and version for release 1.6.1 (#694)
  • a19f8ca Use the release/v1 tag for pypa/gh-action-pypi-publish, as master is de...
  • e0f52ba Skip getting version from Cython on Android. Instead add ANDROID_PYJNIUS_CYTH...
  • f746f13 Cleanup some Java code in NativeInvocationHandler.java (#691)
  • c144e96 Add (now mandatory) .readthedocs.yaml file, add docs requirements.txt and...
  • 1d73253 Update CHANGELOG for release 1.6.0 (additional) (#683)
  • d929be0 Build stdist needs Cython to perform the build (#682)
  • 3629353 Update CHANGELOG and version for release 1.6.0 (#671)
  • b23ba54 Add missing support label for Python 3.12 (#681)
  • a055789 Update cibuildwheel to perform build for Python 3.12 (#680)
  • Additional commits viewable in compare view

Updates onnxruntime from 1.14.1 to 1.18.0

Release notes

Sourced from onnxruntime's releases.

ONNX Runtime v1.18.0

Announcements

  • Windows ARM32 support has been dropped at the source code level.
  • Python version >=3.8 is now required for build.bat/build.sh (previously >=3.7). Note: If you have Python version <3.8, you can bypass the tools and use CMake directly.
  • The onnxruntime-mobile Android package and onnxruntime-mobile-c/onnxruntime-mobile-objc iOS cocoapods are being deprecated. Please use the onnxruntime-android Android package, and onnxruntime-c/onnxruntime-objc cocoapods, which support ONNX and ORT format models and all operators and data types. Note: If you require a smaller binary size, a custom build is required. See details on creating a custom Android or iOS package on Custom build | onnxruntime.

Build System & Packages

  • CoreML execution provider now depends on coremltools.
  • Flatbuffers has been upgraded from 1.12.0 → 23.5.26.
  • ONNX has been upgraded from 1.15 → 1.16.
  • EMSDK has been upgraded from 3.1.51 → 3.1.57.
  • Intel neural_speed library has been upgraded from v0.1.1 → v0.3 with several important bug fixes.
  • There is a new onnxruntime_CUDA_MINIMAL CMake option for building ONNX Runtime CUDA execution provider without any operations apart from memcpy ops.
  • Added support for Catalyst for macOS build support.
  • Added initial support for RISC-V and three new build options for it: --rv64, --riscv_toolchain_root, and --riscv_qemu_path.
  • Now you can build TensorRT EP with protobuf-lite instead of the full version of protobuf.
  • Some security-related compile/link flags have been moved from the default setting → new build option: --use_binskim_compliant_compile_flags. Note: All our release binaries are built with this flag, but when building ONNX Runtime from source, this flag is default OFF.
  • Windows ARM64 build now depends on PyTorch CPUINFO library.
  • Windows OneCore build now uses “Reverse forwarding” apisets instead of “Direct forwarding”, so onnxruntime.dll in our Nuget packages will depend on kernel32.dll. Note: Windows systems without kernel32.dll need to have reverse forwarders (see API set loader operation - Win32 apps | Microsoft Learn for more information).

Core

  • Added ONNX 1.16 support.
  • Added additional optimizations related to Dynamo-exported models.
  • Improved testing infrastructure for EPs developed as shared libraries.
  • Exposed Reserve() in OrtAllocator to allow custom allocators to work when session.use_device_allocator_for_initializers is specified.
  • Improved lock contention due to memory allocations.
  • Improved session creation time (graph and graph transformer optimizations).
  • Added new SessionOptions config entry to disable specific transformers and rules.
  • [C# API] Exposed SessionOptions.DisablePerSessionThreads to allow sharing of threadpool between sessions.
  • [Java API] Added CUDA 12 Java support.

Performance

  • Improved 4bit quant support:
    • Added HQQ quantization support to improve accuracy.
    • Implemented general GEMM kernel and improved GEMV kernel performance on GPU.
    • Improved GEMM kernel quality and performance on x64.
    • Implemented general GEMM kernel and improved GEMV performance on ARM64.
  • Improved MultiheadAttention performance on CPU.

Execution Providers

  • TensorRT

    • Added support for TensorRT 10.
    • Finalized support for DDS ops.
    • Added Python support for user provided CUDA stream.
    • Fixed various bugs.

  • CUDA

    • Added support of multiple CUDA graphs.
    • Added a provider option to disable TF32.
    • Added Python support for user provided CUDA stream.

... (truncated)

Commits

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@dependabot
chore(deps): bump the project-api-exec-dependencies group across 1 di…
af8d6d2 
…rectory with 4 updates

Bumps the project-api-exec-dependencies group with 4 updates in the /apps/project-api directory: [numpy](https://github.com/numpy/numpy), [pandas](https://github.com/pandas-dev/pandas), [pyjnius](https://github.com/kivy/pyjnius) and [onnxruntime](https://github.com/microsoft/onnxruntime).


Updates `numpy` from 1.24.2 to 2.0.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.24.2...v2.0.0)

Updates `pandas` from 1.5.3 to 2.2.2
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v1.5.3...v2.2.2)

Updates `pyjnius` from 1.4.2 to 1.6.1
- [Release notes](https://github.com/kivy/pyjnius/releases)
- [Changelog](https://github.com/kivy/pyjnius/blob/master/CHANGELOG.md)
- [Commits](kivy/pyjnius@1.4.2...1.6.1)

Updates `onnxruntime` from 1.14.1 to 1.18.0
- [Release notes](https://github.com/microsoft/onnxruntime/releases)
- [Changelog](https://github.com/microsoft/onnxruntime/blob/main/docs/ReleaseManagement.md)
- [Commits](microsoft/onnxruntime@v1.14.1...v1.18.0)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: project-api-exec-dependencies
- dependency-name: pandas
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: project-api-exec-dependencies
- dependency-name: pyjnius
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: project-api-exec-dependencies
- dependency-name: onnxruntime
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: project-api-exec-dependencies
...

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@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Jun 22, 2024
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